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ESSD â Volume 12, 2020
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Volume 12, 2020
Volume 12, 2020
Statistical downscaling of water vapour satellite measurements from profiles of tropical ice clouds
Giulia Carella, Mathieu Vrac, Hélène Brogniez, Pascal Yiou, and Hélène Chepfer
Earth Syst. Sci. Data, 12, 1–20, https://doi.org/10.5194/essd-12-1-2020,https://doi.org/10.5194/essd-12-1-2020, 2020
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Observations of relative humidity for ice clouds over the tropical oceans from a passive microwave sounder are downscaled by incorporating the high-resolution variability derived from simultaneous co-located cloud profiles from a lidar. By providing a method to generate pseudo-observations of relative humidity at high spatial resolution, this work will help revisit some of the current key barriers in atmospheric science.
An open-source database for the synthesis of soil radiocarbon data: International Soil Radiocarbon Database (ISRaD) version 1.0
Corey R. Lawrence, Jeffrey Beem-Miller, Alison M. Hoyt, Grey Monroe, Carlos A. Sierra, Shane Stoner, Katherine Heckman, Joseph C. Blankinship, Susan E. Crow, Gavin McNicol, Susan Trumbore, Paul A. Levine, Olga VinduÅ¡ková, Katherine Todd-Brown, Craig Rasmussen, Caitlin E. Hicks Pries, Christina Schädel, Karis McFarlane, Sebastian Doetterl, Christine Hatté, Yujie He, Claire Treat, Jennifer W. Harden, Margaret S. Torn, Cristian Estop-Aragonés, Asmeret Asefaw Berhe, Marco Keiluweit, Ãgatha Della Rosa Kuhnen, Erika Marin-Spiotta, Alain F. Plante, Aaron Thompson, Zheng Shi, Joshua P. Schimel, Lydia J. S. Vaughn, Sophie F. von Fromm, and Rota Wagai
Earth Syst. Sci. Data, 12, 61–76, https://doi.org/10.5194/essd-12-61-2020,https://doi.org/10.5194/essd-12-61-2020, 2020
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The International Soil Radiocarbon Database (ISRaD) is an an open-source archive of soil data focused on datasets including radiocarbon measurements. ISRaD includes data from bulk or whole soils, distinct soil carbon pools isolated in the laboratory by a variety of soil fractionation methods, samples of soil gas or water collected interstitially from within an intact soil profile, CO2 gas isolated from laboratory soil incubations, and fluxes collected in situ from a soil surface.
The European Radiological Data Exchange Platform (EURDEP): 25 years of monitoring data exchange
Marco Sangiorgi, Miguel Angel Hernández-Ceballos, Kevin Jackson, Giorgia Cinelli, Konstantins Bogucarskis, Luca De Felice, Andrei Patrascu, and Marc De Cort
Earth Syst. Sci. Data, 12, 109–118, https://doi.org/10.5194/essd-12-109-2020,https://doi.org/10.5194/essd-12-109-2020, 2020
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After the Chernobyl accident in 1986 the European Commission has invested resources for developing and improving a complete system called the European Radiological Data Exchange Platform (EURDEP) to exchange real-time monitoring data to competent authorities and the public. We provide two complete datasets (air-concentration samples and gamma dose rates) for the recent radiological release of 106Ru in Europe, which occurred between the end of September and early October 2017.
Green Edge ice camp campaigns: understanding the processes controlling the under-ice Arctic phytoplankton spring bloom
Philippe Massicotte, Rémi Amiraux, Marie-Pier Amyot, Philippe Archambault, Mathieu Ardyna, Laurent Arnaud, Lise Artigue, Cyril Aubry, Pierre Ayotte, Guislain Bécu, Simon Bélanger, Ronald Benner, Henry C. Bittig, Annick Bricaud, Ãric Brossier, Flavienne Bruyant, Laurent Chauvaud, Debra Christiansen-Stowe, Hervé Claustre, Véronique Cornet-Barthaux, Pierre Coupel, Christine Cox, Aurelie Delaforge, Thibaud Dezutter, Céline Dimier, Florent Domine, Francis Dufour, Christiane Dufresne, Dany Dumont, Jens Ehn, Brent Else, Joannie Ferland, Marie-Hélène Forget, Louis Fortier, Martà GalÃ, Virginie Galindo, Morgane Gallinari, Nicole Garcia, Catherine Gérikas Ribeiro, Margaux Gourdal, Priscilla Gourvil, Clemence Goyens, Pierre-Luc Grondin, Pascal Guillot, Caroline Guilmette, Marie-Noëlle Houssais, Fabien Joux, Léo Lacour, Thomas Lacour, Augustin Lafond, José Lagunas, Catherine Lalande, Julien Laliberté, Simon Lambert-Girard, Jade Larivière, Johann Lavaud, Anita LeBaron, Karine Leblanc, Florence Le Gall, Justine Legras, Mélanie Lemire, Maurice Levasseur, Edouard Leymarie, Aude Leynaert, Adriana Lopes dos Santos, Antonio Lourenço, David Mah, Claudie Marec, Dominique Marie, Nicolas Martin, Constance Marty, Sabine Marty, Guillaume Massé, Atsushi Matsuoka, Lisa Matthes, Brivaela Moriceau, Pierre-Emmanuel Muller, Christopher-John Mundy, Griet Neukermans, Laurent Oziel, Christos Panagiotopoulos, Jean-Jacques Pangrazi, Ghislain Picard, Marc Picheral, France Pinczon du Sel, Nicole Pogorzelec, Ian Probert, Bernard Quéguiner, Patrick Raimbault, Joséphine Ras, Eric Rehm, Erin Reimer, Jean-François Rontani, Søren Rysgaard, Blanche Saint-Béat, Makoto Sampei, Julie Sansoulet, Catherine Schmechtig, Sabine Schmidt, Richard Sempéré, Caroline Sévigny, Yuan Shen, Margot Tragin, Jean-Ãric Tremblay, Daniel Vaulot, Gauthier Verin, Frédéric Vivier, Anda Vladoiu, Jeremy Whitehead, and Marcel Babin
Earth Syst. Sci. Data, 12, 151–176, https://doi.org/10.5194/essd-12-151-2020,https://doi.org/10.5194/essd-12-151-2020, 2020
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The Green Edge initiative was developed to understand the processes controlling the primary productivity and the fate of organic matter produced during the Arctic spring bloom (PSB). In this article, we present an overview of an extensive and comprehensive dataset acquired during two expeditions conducted in 2015 and 2016 on landfast ice southeast of Qikiqtarjuaq Island in Baffin Bay.
TephraKam: geochemical database of glass compositions in tephra and welded tuffs from the Kamchatka volcanic arc (northwestern Pacific)
Maxim V. Portnyagin, Vera V. Ponomareva, Egor A. Zelenin, Lilia I. Bazanova, Maria M. Pevzner, Anastasia A. Plechova, Aleksei N. Rogozin, and Dieter Garbe-Schönberg
Earth Syst. Sci. Data, 12, 469–486, https://doi.org/10.5194/essd-12-469-2020,https://doi.org/10.5194/essd-12-469-2020, 2020
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Tephra is fragmented material produced by explosive volcanic eruptions. Geochemically characterized tephra layers are excellent time marker horizons and samples of magma composition. TephraKam is database of the ages and chemical composition of volcanic glass in tephra from the Kamchatka volcanic arc (northwestern Pacific). TephraKam enables the identification of tephra sources, correlation and dating of natural archives, and reconstruction of spatiotemporal evolution of volcanism in Kamchatka.
Marine carbonyl sulfide (OCS) and carbon disulfide (CS2): a compilation of measurements in seawater and the marine boundary layer
Sinikka T. Lennartz, Christa A. Marandino, Marc von Hobe, Meinrat O. Andreae, Kazushi Aranami, Elliot Atlas, Max Berkelhammer, Heinz Bingemer, Dennis Booge, Gregory Cutter, Pau Cortes, Stefanie Kremser, Cliff S. Law, Andrew Marriner, Rafel Simó, Birgit Quack, Günther Uher, Huixiang Xie, and Xiaobin Xu
Earth Syst. Sci. Data, 12, 591–609, https://doi.org/10.5194/essd-12-591-2020,https://doi.org/10.5194/essd-12-591-2020, 2020
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Sulfur-containing trace gases in the atmosphere influence atmospheric chemistry and the energy budget of the Earth by forming aerosols. The ocean is an important source of the most abundant sulfur gas in the atmosphere, carbonyl sulfide (OCS) and its most important precursor carbon disulfide (CS2). In order to assess global variability of the sea surface concentrations of both gases to calculate their oceanic emissions, we have compiled a database of existing shipborne measurements.
Replacing missing values in the standard Multi-angle Imaging SpectroRadiometer (MISR) radiometric camera-by-camera cloud mask (RCCM) data product
Michel M. Verstraete, Linda A. Hunt, Hugo De Lemos, and Larry Di Girolamo
Earth Syst. Sci. Data, 12, 611–628, https://doi.org/10.5194/essd-12-611-2020,https://doi.org/10.5194/essd-12-611-2020, 2020
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The radiometric camera-by-camera cloud mask product, available for each of the nine cameras of the MISR instrument, contains a variable number of missing values, especially wherever and whenever the instrument is switched from the Global to Local Mode of operation. This paper proposes a simple method for effectively replacing those missing values and demonstrates the performance of the process. MISR data and software tools are obtainable from public domain websites to explore this issue further.
Meteorological drought lacunarity around the world and its classification
Robert Monjo, Dominic Royé, and Javier Martin-Vide
Earth Syst. Sci. Data, 12, 741–752, https://doi.org/10.5194/essd-12-741-2020,https://doi.org/10.5194/essd-12-741-2020, 2020
Integrating palaeoclimate time series with rich metadata for uncertainty modelling: strategy and documentation of the PalMod 130k marine palaeoclimate data synthesis
Lukas Jonkers, Olivier Cartapanis, Michael Langner, Nick McKay, Stefan Mulitza, Anne Strack, and Michal Kucera
Earth Syst. Sci. Data, 12, 1053–1081, https://doi.org/10.5194/essd-12-1053-2020,https://doi.org/10.5194/essd-12-1053-2020, 2020
Data for wetlandscapes and their changes around the world
Navid Ghajarnia, Georgia Destouni, Josefin Thorslund, Zahra Kalantari, Imenne à hlén, Jesús A. Anaya-Acevedo, Juan F. Blanco-Libreros, Sonia Borja, Sergey Chalov, Aleksandra Chalova, Kwok P. Chun, Nicola Clerici, Amanda Desormeaux, Bethany B. Garfield, Pierre Girard, Olga Gorelits, Amy Hansen, Fernando Jaramillo, Jerker Jarsjö, Adnane Labbaci, John Livsey, Giorgos Maneas, Kathryn McCurley Pisarello, Sebastián Palomino-Ãngel, Jan PietroÅ, René M. Price, Victor H. Rivera-Monroy, Jorge Salgado, A. Britta K. Sannel, Samaneh Seifollahi-Aghmiuni, Ylva Sjöberg, Pavel Terskii, Guillaume Vigouroux, Lucia Licero-Villanueva, and David Zamora
Earth Syst. Sci. Data, 12, 1083–1100, https://doi.org/10.5194/essd-12-1083-2020,https://doi.org/10.5194/essd-12-1083-2020, 2020
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Hydroclimate and land-use conditions determine the dynamics of wetlands and their ecosystem services. However, knowledge and data for conditions and changes over entire wetlandscapes are scarce. This paper presents a novel database for 27 wetlandscapes around the world, combining survey-based local information and hydroclimatic and land-use datasets. The developed database can enhance our capacity to understand and manage critical wetland ecosystems and their services under global change.
A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications
Kimberly A. Casey, Cecile S. Rousseaux, Watson W. Gregg, Emmanuel Boss, Alison P. Chase, Susanne E. Craig, Colleen B. Mouw, Rick A. Reynolds, Dariusz Stramski, Steven G. Ackleson, Annick Bricaud, Blake Schaeffer, Marlon R. Lewis, and Stéphane Maritorena
Earth Syst. Sci. Data, 12, 1123–1139, https://doi.org/10.5194/essd-12-1123-2020,https://doi.org/10.5194/essd-12-1123-2020, 2020
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An increase in spectral resolution in forthcoming remote-sensing missions will improve our ability to understand and characterize aquatic ecosystems. We organize and provide a global compilation of high spectral resolution inherent and apparent optical property data from polar, midlatitude, and equatorial open-ocean, estuary, coastal, and inland waters. The data are intended to aid in development of remote-sensing data product algorithms and to perform calibration and validation activities.
Global database of ratios of particulate organic carbon to thorium-234 in the ocean: improving estimates of the biological carbon pump
Viena Puigcorbé, Pere Masqué, and Frédéric A. C. Le Moigne
Earth Syst. Sci. Data, 12, 1267–1285, https://doi.org/10.5194/essd-12-1267-2020,https://doi.org/10.5194/essd-12-1267-2020, 2020
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The biological carbon pump is a mechanism by which the oceans capture atmospheric carbon dioxide thanks to microscopic marine algae. Quantifying its strength and efficiency is crucial to understand the global carbon budget and be able to forecast its trends. The radioactive pair 234Th : 238U has been extensively used for that purpose. This is a global compilation of carbon-to-234Th ratios (needed to convert the 234Th fluxes to carbon fluxes) that will contribute to improve our modeling efforts.
The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests
Christopher P. O. Reyer, Ramiro Silveyra Gonzalez, Klara Dolos, Florian Hartig, Ylva Hauf, Matthias Noack, Petra Lasch-Born, Thomas Rötzer, Hans Pretzsch, Henning Meesenburg, Stefan Fleck, Markus Wagner, Andreas Bolte, Tanja G. M. Sanders, Pasi Kolari, Annikki Mäkelä, Timo Vesala, Ivan Mammarella, Jukka Pumpanen, Alessio Collalti, Carlo Trotta, Giorgio Matteucci, Ettore D'Andrea, Lenka Foltýnová, Jan Krejza, Andreas Ibrom, Kim Pilegaard, Denis Loustau, Jean-Marc Bonnefond, Paul Berbigier, Delphine Picart, Sébastien Lafont, Michael Dietze, David Cameron, Massimo Vieno, Hanqin Tian, Alicia Palacios-Orueta, Victor Cicuendez, Laura Recuero, Klaus Wiese, Matthias Büchner, Stefan Lange, Jan Volkholz, Hyungjun Kim, Joanna A. Horemans, Friedrich Bohn, Jörg Steinkamp, Alexander Chikalanov, Graham P. Weedon, Justin Sheffield, Flurin Babst, Iliusi Vega del Valle, Felicitas Suckow, Simon Martel, Mats Mahnken, Martin Gutsch, and Katja Frieler
Earth Syst. Sci. Data, 12, 1295–1320, https://doi.org/10.5194/essd-12-1295-2020,https://doi.org/10.5194/essd-12-1295-2020, 2020
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Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database provides a wide range of empirical data to calibrate and evaluate vegetation models that simulate climate impacts at the forest stand scale to support systematic model intercomparisons and model development in Europe.
Vegetation, ground cover, soil, rainfall simulation, and overland-flow experiments before and after tree removal in woodland-encroached sagebrush steppe: the hydrology component of the Sagebrush Steppe Treatment Evaluation Project (SageSTEP)
C. Jason Williams, Frederick B. Pierson, Patrick R. Kormos, Osama Z. Al-Hamdan, and Justin C. Johnson
Earth Syst. Sci. Data, 12, 1347–1365, https://doi.org/10.5194/essd-12-1347-2020,https://doi.org/10.5194/essd-12-1347-2020, 2020
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Data were collected at three sites over 10 years to evaluate ecologic impacts of tree encroachment on rangelands and assess impacts of tree-removal practices on vegetation, surface conditions, and hydrologic/erosion processes. The dataset includes 1300 rainfall simulation and 838 overland-flow experiments paired with vegetation, surface cover, and soil data across point to hillslope scales. The data advance hydrology/erosion process understanding and are a source for model development/testing.
Decomposability of soil organic matter over time: the Soil Incubation Database (SIDb, version 1.0) and guidance for incubation procedures
Christina Schädel, Jeffrey Beem-Miller, Mina Aziz Rad, Susan E. Crow, Caitlin E. Hicks Pries, Jessica Ernakovich, Alison M. Hoyt, Alain Plante, Shane Stoner, Claire C. Treat, and Carlos A. Sierra
Earth Syst. Sci. Data, 12, 1511–1524, https://doi.org/10.5194/essd-12-1511-2020,https://doi.org/10.5194/essd-12-1511-2020, 2020
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Carbon loss to the atmosphere via microbial decomposition is often assessed by laboratory soil incubation studies that measure greenhouse gases released from soils under controlled conditions. Here, we introduce the Soil Incubation Database (SIDb) version 1.0, a compilation of time series data from incubations, structured into a new, publicly available, open-access database of carbon dioxide and methane flux. We also provide guidance for database entry and the required variables.
The Global Methane Budget 2000â2017
Marielle Saunois, Ann R. Stavert, Ben Poulter, Philippe Bousquet, Josep G. Canadell, Robert B. Jackson, Peter A. Raymond, Edward J. Dlugokencky, Sander Houweling, Prabir K. Patra, Philippe Ciais, Vivek K. Arora, David Bastviken, Peter Bergamaschi, Donald R. Blake, Gordon Brailsford, Lori Bruhwiler, Kimberly M. Carlson, Mark Carrol, Simona Castaldi, Naveen Chandra, Cyril Crevoisier, Patrick M. Crill, Kristofer Covey, Charles L. Curry, Giuseppe Etiope, Christian Frankenberg, Nicola Gedney, Michaela I. Hegglin, Lena Höglund-Isaksson, Gustaf Hugelius, Misa Ishizawa, Akihiko Ito, Greet Janssens-Maenhout, Katherine M. Jensen, Fortunat Joos, Thomas Kleinen, Paul B. Krummel, Ray L. Langenfelds, Goulven G. Laruelle, Licheng Liu, Toshinobu Machida, Shamil Maksyutov, Kyle C. McDonald, Joe McNorton, Paul A. Miller, Joe R. Melton, Isamu Morino, Jurek Müller, Fabiola Murguia-Flores, Vaishali Naik, Yosuke Niwa, Sergio Noce, Simon O'Doherty, Robert J. Parker, Changhui Peng, Shushi Peng, Glen P. Peters, Catherine Prigent, Ronald Prinn, Michel Ramonet, Pierre Regnier, William J. Riley, Judith A. Rosentreter, Arjo Segers, Isobel J. Simpson, Hao Shi, Steven J. Smith, L. Paul Steele, Brett F. Thornton, Hanqin Tian, Yasunori Tohjima, Francesco N. Tubiello, Aki Tsuruta, Nicolas Viovy, Apostolos Voulgarakis, Thomas S. Weber, Michiel van Weele, Guido R. van der Werf, Ray F. Weiss, Doug Worthy, Debra Wunch, Yi Yin, Yukio Yoshida, Wenxin Zhang, Zhen Zhang, Yuanhong Zhao, Bo Zheng, Qing Zhu, Qiuan Zhu, and Qianlai Zhuang
Earth Syst. Sci. Data, 12, 1561–1623, https://doi.org/10.5194/essd-12-1561-2020,https://doi.org/10.5194/essd-12-1561-2020, 2020
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Understanding and quantifying the global methane (CH4) budget is important for assessing realistic pathways to mitigate climate change. We have established a consortium of multidisciplinary scientists under the umbrella of the Global Carbon Project to synthesize and stimulate new research aimed at improving and regularly updating the global methane budget. This is the second version of the review dedicated to the decadal methane budget, integrating results of top-down and bottom-up estimates.
This article is included in the Encyclopedia of Geosciences
University of Kentucky measurements of wind, temperature, pressure and humidity in support of LAPSE-RATE using multisite fixed-wing and rotorcraft unmanned aerial systems
Sean C. C. Bailey, Michael P. Sama, Caleb A. Canter, L. Felipe Pampolini, Zachary S. Lippay, Travis J. Schuyler, Jonathan D. Hamilton, Sean B. MacPhee, Isaac S. Rowe, Christopher D. Sanders, Virginia G. Smith, Christina N. Vezzi, Harrison M. Wight, Jesse B. Hoagg, Marcelo I. Guzman, and Suzanne Weaver Smith
Earth Syst. Sci. Data, 12, 1759–1773, https://doi.org/10.5194/essd-12-1759-2020,https://doi.org/10.5194/essd-12-1759-2020, 2020
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This article describes the systems, processes and procedures used by researchers from the University of Kentucky (UK) for the Lower Atmospheric Profiling Studies at Elevation – a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE) in the San Luis Valley in Colorado, USA. Using unmanned aerial systems (UASs) as the primary data-gathering tool, UK supported multipoint, multisystem measurements of drainage flow, boundary layer transition, convection initiation and aerosol concentration.
A cultivated planet in 2010 â Part 1: The global synergy cropland map
Miao Lu, Wenbin Wu, Liangzhi You, Linda See, Steffen Fritz, Qiangyi Yu, Yanbing Wei, Di Chen, Peng Yang, and Bing Xue
Earth Syst. Sci. Data, 12, 1913–1928, https://doi.org/10.5194/essd-12-1913-2020,https://doi.org/10.5194/essd-12-1913-2020, 2020
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Global cropland distribution is critical for agricultural monitoring and food security. We propose a new Self-adapting Statistics Allocation Model (SASAM) to develop the global map of cropland distribution. SASAM is based on the fusion of multiple existing cropland maps and multilevel statistics of cropland area, which is independent of training samples. The synergy map has higher accuracy than the input datasets and better consistency with the cropland statistics.
Heat stored in the Earth system: where does the energy go?
Karina von Schuckmann, Lijing Cheng, Matthew D. Palmer, James Hansen, Caterina Tassone, Valentin Aich, Susheel Adusumilli, Hugo Beltrami, Tim Boyer, Francisco José Cuesta-Valero, Damien Desbruyères, Catia Domingues, Almudena GarcÃa-GarcÃa, Pierre Gentine, John Gilson, Maximilian Gorfer, Leopold Haimberger, Masayoshi Ishii, Gregory C. Johnson, Rachel Killick, Brian A. King, Gottfried Kirchengast, Nicolas Kolodziejczyk, John Lyman, Ben Marzeion, Michael Mayer, Maeva Monier, Didier Paolo Monselesan, Sarah Purkey, Dean Roemmich, Axel Schweiger, Sonia I. Seneviratne, Andrew Shepherd, Donald A. Slater, Andrea K. Steiner, Fiammetta Straneo, Mary-Louise Timmermans, and Susan E. Wijffels
Earth Syst. Sci. Data, 12, 2013–2041, https://doi.org/10.5194/essd-12-2013-2020,https://doi.org/10.5194/essd-12-2013-2020, 2020
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Understanding how much and where the heat is distributed in the Earth system is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This study is a Global Climate Observing System (GCOS) concerted international effort to obtain the Earth heat inventory over the period 1960–2018.
This article is included in the Encyclopedia of Geosciences
CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil
VinÃcius B. P. Chagas, Pedro L. B. Chaffe, Nans Addor, Fernando M. Fan, Ayan S. Fleischmann, Rodrigo C. D. Paiva, and VinÃcius A. Siqueira
Earth Syst. Sci. Data, 12, 2075–2096, https://doi.org/10.5194/essd-12-2075-2020,https://doi.org/10.5194/essd-12-2075-2020, 2020
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We present a new dataset for large-sample hydrological studies in Brazil. The dataset encompasses daily observed streamflow from 3679 gauges, as well as meteorological forcing for 897 selected catchments. It also includes 65 attributes covering topographic, climatic, hydrologic, land cover, geologic, soil, and human intervention variables. CAMELS-BR is publicly available and will enable new insights into the hydrological behavior of catchments in Brazil.
Cloud_cci ATSR-2 and AATSR data set version 3: a 17-year climatology of global cloud and radiation properties
Caroline A. Poulsen, Gregory R. McGarragh, Gareth E. Thomas, Martin Stengel, Matthew W. Christensen, Adam C. Povey, Simon R. Proud, Elisa Carboni, Rainer Hollmann, and Roy G. Grainger
Earth Syst. Sci. Data, 12, 2121–2135, https://doi.org/10.5194/essd-12-2121-2020,https://doi.org/10.5194/essd-12-2121-2020, 2020
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We have created a satellite cloud and radiation climatology from the ATSR-2 and AATSR on board ERS-2 and Envisat, respectively, which spans the period 1995–2012. The data set was created using a combination of optimal estimation and neural net techniques. The data set was created as part of the ESA Climate Change Initiative program. The data set has been compared with active CALIOP lidar measurements and compared with MAC-LWP AND CERES-EBAF measurements and is shown to have good performance.
The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign
Kirk Knobelspiesse, Henrique M. J. Barbosa, Christine Bradley, Carol Bruegge, Brian Cairns, Gao Chen, Jacek Chowdhary, Anthony Cook, Antonio Di Noia, Bastiaan van Diedenhoven, David J. Diner, Richard Ferrare, Guangliang Fu, Meng Gao, Michael Garay, Johnathan Hair, David Harper, Gerard van Harten, Otto Hasekamp, Mark Helmlinger, Chris Hostetler, Olga Kalashnikova, Andrew Kupchock, Karla Longo De Freitas, Hal Maring, J. Vanderlei Martins, Brent McBride, Matthew McGill, Ken Norlin, Anin Puthukkudy, Brian Rheingans, Jeroen Rietjens, Felix C. Seidel, Arlindo da Silva, Martijn Smit, Snorre Stamnes, Qian Tan, Sebastian Val, Andrzej Wasilewski, Feng Xu, Xiaoguang Xu, and John Yorks
Earth Syst. Sci. Data, 12, 2183–2208, https://doi.org/10.5194/essd-12-2183-2020,https://doi.org/10.5194/essd-12-2183-2020, 2020
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The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) field campaign is a resource for the next generation of spaceborne multi-angle polarimeter (MAP) and lidar missions. Conducted in the fall of 2017 from the Armstrong Flight Research Center in Palmdale, California, four MAP instruments and two lidars were flown on the high-altitude ER-2 aircraft over a variety of scene types and ground assets. Data are freely available to the public and useful for algorithm development and testing.
The Iso2k database: a global compilation of paleo-δ18O and δ2H records to aid understanding of Common Era climate
Bronwen L. Konecky, Nicholas P. McKay, Olga V. Churakova (Sidorova), Laia Comas-Bru, Emilie P. Dassié, Kristine L. DeLong, Georgina M. Falster, Matt J. Fischer, Matthew D. Jones, Lukas Jonkers, Darrell S. Kaufman, Guillaume Leduc, Shreyas R. Managave, Belen Martrat, Thomas Opel, Anais J. Orsi, Judson W. Partin, Hussein R. Sayani, Elizabeth K. Thomas, Diane M. Thompson, Jonathan J. Tyler, Nerilie J. Abram, Alyssa R. Atwood, Olivier Cartapanis, Jessica L. Conroy, Mark A. Curran, Sylvia G. Dee, Michael Deininger, Dmitry V. Divine, Zoltán Kern, Trevor J. Porter, Samantha L. Stevenson, Lucien von Gunten, and Iso2k Project Members
Earth Syst. Sci. Data, 12, 2261–2288, https://doi.org/10.5194/essd-12-2261-2020,https://doi.org/10.5194/essd-12-2261-2020, 2020
A dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in Germany
Benjamin Fersch, Till Francke, Maik Heistermann, Martin Schrön, Veronika Döpper, Jannis Jakobi, Gabriele Baroni, Theresa Blume, Heye Bogena, Christian Budach, Tobias Gränzig, Michael Förster, Andreas Güntner, Harrie-Jan Hendricks Franssen, Mandy Kasner, Markus Köhli, Birgit Kleinschmit, Harald Kunstmann, Amol Patil, Daniel Rasche, Lena Scheiffele, Ulrich Schmidt, Sandra Szulc-Seyfried, Jannis Weimar, Steffen Zacharias, Marek Zreda, Bernd Heber, Ralf Kiese, Vladimir Mares, Hannes Mollenhauer, Ingo Völksch, and Sascha Oswald
Earth Syst. Sci. Data, 12, 2289–2309, https://doi.org/10.5194/essd-12-2289-2020,https://doi.org/10.5194/essd-12-2289-2020, 2020
A comprehensive dataset of vegetation states, fluxes of matter and energy, weather, agricultural management, and soil properties from intensively monitored crop sites in western Germany
Tim G. Reichenau, Wolfgang Korres, Marius Schmidt, Alexander Graf, Gerhard Welp, Nele Meyer, Anja Stadler, Cosimo Brogi, and Karl Schneider
Earth Syst. Sci. Data, 12, 2333–2364, https://doi.org/10.5194/essd-12-2333-2020,https://doi.org/10.5194/essd-12-2333-2020, 2020
The Eurasian Modern Pollen Database (EMPD), version 2
Basil A. S. Davis, Manuel Chevalier, Philipp Sommer, Vachel A. Carter, Walter Finsinger, Achille Mauri, Leanne N. Phelps, Marco Zanon, Roman Abegglen, Christine M. à kesson, Francisca Alba-Sánchez, R. Scott Anderson, Tatiana G. Antipina, Juliana R. Atanassova, Ruth Beer, Nina I. Belyanina, Tatiana A. Blyakharchuk, Olga K. Borisova, Elissaveta Bozilova, Galina Bukreeva, M. Jane Bunting, Eleonora Clò, Daniele Colombaroli, Nathalie Combourieu-Nebout, Stéphanie Desprat, Federico Di Rita, Morteza Djamali, Kevin J. Edwards, Patricia L. Fall, Angelica Feurdean, William Fletcher, Assunta Florenzano, Giulia Furlanetto, Emna Gaceur, Arsenii T. Galimov, Mariusz GaÅka, Iria GarcÃa-Moreiras, Thomas Giesecke, Roxana Grindean, Maria A. Guido, Irina G. Gvozdeva, Ulrike Herzschuh, Kari L. Hjelle, Sergey Ivanov, Susanne Jahns, Vlasta Jankovska, Gonzalo Jiménez-Moreno, Monika KarpiÅska-KoÅaczek, Ikuko Kitaba, Piotr KoÅaczek, Elena G. Lapteva, MaÅgorzata LataÅowa, Vincent Lebreton, Suzanne Leroy, Michelle Leydet, Darya A. Lopatina, José Antonio López-Sáez, André F. Lotter, Donatella Magri, Elena Marinova, Isabelle Matthias, Anastasia Mavridou, Anna Maria Mercuri, Jose Manuel Mesa-Fernández, Yuri A. Mikishin, Krystyna Milecka, Carlo Montanari, César Morales-Molino, Almut Mrotzek, Castor Muñoz Sobrino, Olga D. Naidina, Takeshi Nakagawa, Anne Birgitte Nielsen, Elena Y. Novenko, Sampson Panajiotidis, Nata K. Panova, Maria Papadopoulou, Heather S. Pardoe, Anna PÄdziszewska, Tatiana I. Petrenko, MarÃa J. Ramos-Román, Cesare Ravazzi, Manfred Rösch, Natalia Ryabogina, Silvia Sabariego Ruiz, J. Sakari Salonen, Tatyana V. Sapelko, James E. Schofield, Heikki Seppä, Lyudmila Shumilovskikh, Normunds Stivrins, Philipp Stojakowits, Helena Svobodova Svitavska, Joanna ÅwiÄta-Musznicka, Ioan Tantau, Willy Tinner, Kazimierz Tobolski, Spassimir Tonkov, Margarita Tsakiridou, Verushka Valsecchi, Oksana G. Zanina, and Marcelina Zimny
Earth Syst. Sci. Data, 12, 2423–2445, https://doi.org/10.5194/essd-12-2423-2020,https://doi.org/10.5194/essd-12-2423-2020, 2020
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The Eurasian Modern Pollen Database (EMPD) contains pollen counts and associated metadata for 8134 modern pollen samples from across the Eurasian region. The EMPD is part of, and complementary to, the European Pollen Database (EPD) which contains data on fossil pollen found in Late Quaternary sedimentary archives. The purpose of the EMPD is to provide calibration datasets and other data to support palaeoecological research on past climates and vegetation cover over the Quaternary period.
A uniform pCO2 climatology combining open and coastal oceans
Peter Landschützer, Goulven G. Laruelle, Alizee Roobaert, and Pierre Regnier
Earth Syst. Sci. Data, 12, 2537–2553, https://doi.org/10.5194/essd-12-2537-2020,https://doi.org/10.5194/essd-12-2537-2020, 2020
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In recent years, multiple estimates of the global air–sea CO2 flux emerged from upscaling shipboard pCO2 measurements. They are however limited to the open-ocean domain and do not consider the coastal ocean, i.e. a significant marine sink for CO2. We build towards an integrated pCO2 product that combines both the open-ocean and coastal-ocean domain and focus on the evaluation of the common overlap area of these products and how well the aquatic continuum is represented in the new climatology.
This article is included in the Encyclopedia of Geosciences
Half-hourly changes in intertidal temperature at nine wave-exposed locations along the Atlantic Canadian coast: a 5.5-year study
Ricardo A. Scrosati, Julius A. Ellrich, and Matthew J. Freeman
Earth Syst. Sci. Data, 12, 2695–2703, https://doi.org/10.5194/essd-12-2695-2020,https://doi.org/10.5194/essd-12-2695-2020, 2020
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We measured temperature every half hour during a period of 5.5 years (2014â2019) at nine wave-exposed rocky intertidal locations along the Atlantic coast of Nova Scotia, Canada. We summarize the main properties of this data set by focusing on location-wise values of daily maximum and minimum temperature and daily SST.
Bed topography of Princess Elizabeth Land in East Antarctica
Xiangbin Cui, Hafeez Jeofry, Jamin S. Greenbaum, Jingxue Guo, Lin Li, Laura E. Lindzey, Feras A. Habbal, Wei Wei, Duncan A. Young, Neil Ross, Mathieu Morlighem, Lenneke M. Jong, Jason L. Roberts, Donald D. Blankenship, Sun Bo, and Martin J. Siegert
Earth Syst. Sci. Data, 12, 2765–2774, https://doi.org/10.5194/essd-12-2765-2020,https://doi.org/10.5194/essd-12-2765-2020, 2020
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We present a topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL), East Antarctica. The DEM covers an area of approximately 900 000 km2 and was built from radio-echo sounding data collected in four campaigns since 2015. Previously, to generate the Bedmap2 topographic product, PELâs bed was characterised from low-resolution satellite gravity data across an otherwise large (>200 km wide) data-free zone.
Measurements of hydrodynamics, sediment, morphology and benthos on Ameland ebb-tidal delta and lower shoreface
Bram C. van Prooijen, Marion F. S. Tissier, Floris P. de Wit, Stuart G. Pearson, Laura B. Brakenhoff, Marcel C. G. van Maarseveen, Maarten van der Vegt, Jan-Willem Mol, Frank Kok, Harriette Holzhauer, Jebbe J. van der Werf, Tommer Vermaas, Matthijs Gawehn, Bart Grasmeijer, Edwin P. L. Elias, Pieter Koen Tonnon, Giorgio Santinelli, José A. A. AntolÃnez, Paul Lodewijk M. de Vet, Ad J. H. M. Reniers, Zheng Bing Wang, Cornelis den Heijer, Carola van Gelder-Maas, Rinse J. A. Wilmink, Cor A. Schipper, and Harry de Looff
Earth Syst. Sci. Data, 12, 2775–2786, https://doi.org/10.5194/essd-12-2775-2020,https://doi.org/10.5194/essd-12-2775-2020, 2020
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To protect the Dutch coastal zone, sand is nourished and disposed at strategic locations. Simple questions like where, how, how much and when to nourish the sand are not straightforward to answer. This is especially the case around the Wadden Sea islands where sediment transport pathways are complicated. Therefore, a large-scale field campaign has been carried out on the seaward side of Ameland Inlet. Sediment transport, hydrodynamics, morphology and fauna in the bed were measured.
A long-term (2005â2016) dataset of hourly integrated landâatmosphere interaction observations on the Tibetan Plateau
Yaoming Ma, Zeyong Hu, Zhipeng Xie, Weiqiang Ma, Binbin Wang, Xuelong Chen, Maoshan Li, Lei Zhong, Fanglin Sun, Lianglei Gu, Cunbo Han, Lang Zhang, Xin Liu, Zhangwei Ding, Genhou Sun, Shujin Wang, Yongjie Wang, and Zhongyan Wang
Earth Syst. Sci. Data, 12, 2937–2957, https://doi.org/10.5194/essd-12-2937-2020,https://doi.org/10.5194/essd-12-2937-2020, 2020
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In comparison with other terrestrial regions of the world, meteorological observations are scarce over the Tibetan Plateau. This has limited our understanding of the mechanisms underlying complex interactions between the different earth spheres with heterogeneous land surface conditions. The release of this continuous and long-term dataset with high temporal resolution is expected to facilitate broad multidisciplinary communities in understanding key processes on the Third Pole of the world.
An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets
Maialen Iturbide, José M. Gutiérrez, Lincoln M. Alves, JoaquÃn Bedia, Ruth Cerezo-Mota, Ezequiel Cimadevilla, Antonio S. Cofiño, Alejandro Di Luca, Sergio Henrique Faria, Irina V. Gorodetskaya, Mathias Hauser, Sixto Herrera, Kevin Hennessy, Helene T. Hewitt, Richard G. Jones, Svitlana Krakovska, Rodrigo Manzanas, Daniel MartÃnez-Castro, Gemma T. Narisma, Intan S. Nurhati, Izidine Pinto, Sonia I. Seneviratne, Bart van den Hurk, and Carolina S. Vera
Earth Syst. Sci. Data, 12, 2959–2970, https://doi.org/10.5194/essd-12-2959-2020,https://doi.org/10.5194/essd-12-2959-2020, 2020
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We present an update of the IPCC WGI reference regions used in AR5 for the synthesis of climate change information. This revision was guided by the basic principles of climatic consistency and model representativeness (in particular for the new CMIP6 simulations). We also present a new dataset of monthly CMIP5 and CMIP6 spatially aggregated information using the new reference regions and describe a worked example of how to use this dataset to inform regional climate change studies.
High-resolution mapping of circum-Antarctic landfast sea ice distribution, 2000â2018
Alexander D. Fraser, Robert A. Massom, Kay I. Ohshima, Sascha Willmes, Peter J. Kappes, Jessica Cartwright, and Richard Porter-Smith
Earth Syst. Sci. Data, 12, 2987–2999, https://doi.org/10.5194/essd-12-2987-2020,https://doi.org/10.5194/essd-12-2987-2020, 2020
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Landfast ice, or fast ice, is a form of sea ice which is mechanically fastened to stationary parts of the coast. Long-term and accurate knowledge of its extent around Antarctica is critical for understanding a number of important Antarctic coastal processes, yet no accurate, large-scale, long-term dataset of its extent has been available. We address this data gap with this new dataset compiled from satellite imagery, containing high-resolution maps of Antarctic fast ice from 2000 to 2018.
Element and radionuclide concentrations in soils and wildlife from forests in north-eastern England with a focus on species representative of the ICRP's Reference Animals and Plants
Catherine L. Barnett, Nicholas A. Beresford, Michael D. Wood, Maria Izquierdo, Lee A. Walker, and Ross Fawkes
Earth Syst. Sci. Data, 12, 3021–3038, https://doi.org/10.5194/essd-12-3021-2020,https://doi.org/10.5194/essd-12-3021-2020, 2020
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This paper describes data from a study conducted in 2015–2016 to sample terrestrial wildlife, soil and water from two forests in north-eastern England. Sampling was targeted towards species representative of the International Commission on Radiological Protectionâs (ICRP) terrestrial Reference Animals and Plants (RAPs): Wild Grass, Pine Tree, Earthworm, Bee, Rat, Deer and Frog. The dataset comprises stable-element and radionuclide activity concentrations.
High-resolution global atmospheric moisture connections from evaporation to precipitation
Obbe A. Tuinenburg, Jolanda J. E. Theeuwen, and Arie Staal
Earth Syst. Sci. Data, 12, 3177–3188, https://doi.org/10.5194/essd-12-3177-2020,https://doi.org/10.5194/essd-12-3177-2020, 2020
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We provide a global database of moisture flows through the atmosphere using the most recent ERA5 atmospheric reanalysis. Using this database, it is possible to determine where evaporation will rain out again. However, the reverse is also possible, to determine where precipitation originated from as evaporation. This dataset can be used to determine atmospheric moisture recycling rates and therefore how much water is lost for a catchment through the atmosphere.
Global Carbon Budget 2020
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Judith Hauck, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Corinne Le Quéré, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone Alin, Luiz E. O. C. Aragão, Almut Arneth, Vivek Arora, Nicholas R. Bates, Meike Becker, Alice Benoit-Cattin, Henry C. Bittig, Laurent Bopp, Selma Bultan, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Wiley Evans, Liesbeth Florentie, Piers M. Forster, Thomas Gasser, Marion Gehlen, Dennis Gilfillan, Thanos Gkritzalis, Luke Gregor, Nicolas Gruber, Ian Harris, Kerstin Hartung, Vanessa Haverd, Richard A. Houghton, Tatiana Ilyina, Atul K. Jain, Emilie Joetzjer, Koji Kadono, Etsushi Kato, Vassilis Kitidis, Jan Ivar Korsbakken, Peter Landschützer, Nathalie Lefèvre, Andrew Lenton, Sebastian Lienert, Zhu Liu, Danica Lombardozzi, Gregg Marland, Nicolas Metzl, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin O'Brien, Tsuneo Ono, Paul I. Palmer, Denis Pierrot, Benjamin Poulter, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Adam J. P. Smith, Adrienne J. Sutton, Toste Tanhua, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Guido van der Werf, Nicolas Vuichard, Anthony P. Walker, Rik Wanninkhof, Andrew J. Watson, David Willis, Andrew J. Wiltshire, Wenping Yuan, Xu Yue, and Sönke Zaehle
Earth Syst. Sci. Data, 12, 3269–3340, https://doi.org/10.5194/essd-12-3269-2020,https://doi.org/10.5194/essd-12-3269-2020, 2020
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The Global Carbon Budget 2020 describes the data sets and methodology used to quantify the emissions of carbon dioxide and their partitioning among the atmosphere, land, and ocean. These living data are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
A global mean sea surface temperature dataset for the Last Interglacial (129â116 ka) and contribution of thermal expansion to sea level change
Chris S. M. Turney, Richard T. Jones, Nicholas P. McKay, Erik van Sebille, Zoë A. Thomas, Claus-Dieter Hillenbrand, and Christopher J. Fogwill
Earth Syst. Sci. Data, 12, 3341–3356, https://doi.org/10.5194/essd-12-3341-2020,https://doi.org/10.5194/essd-12-3341-2020, 2020
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The Last Interglacial (129–116 ka) experienced global temperatures and sea levels higher than today. The direct contribution of warmer conditions to global sea level (thermosteric) are uncertain. We report a global network of sea surface temperatures. We find mean global annual temperature anomalies of 0.2 ± 0.1ËC and an early maximum peak of 0.9 ± 0.1ËC. Our reconstruction suggests warmer waters contributed on average 0.08 ± 0.1 m and a peak contribution of 0.39 ± 0.1 m to global sea level.
Data generated during the 2018 LAPSE-RATE campaign: an introduction and overview
Gijs de Boer, Adam Houston, Jamey Jacob, Phillip B. Chilson, Suzanne W. Smith, Brian Argrow, Dale Lawrence, Jack Elston, David Brus, Osku Kemppinen, Petra Klein, Julie K. Lundquist, Sean Waugh, Sean C. C. Bailey, Amy Frazier, Michael P. Sama, Christopher Crick, David Schmale III, James Pinto, Elizabeth A. Pillar-Little, Victoria Natalie, and Anders Jensen
Earth Syst. Sci. Data, 12, 3357–3366, https://doi.org/10.5194/essd-12-3357-2020,https://doi.org/10.5194/essd-12-3357-2020, 2020
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This paper provides an overview of the Lower Atmospheric Profiling Studies at Elevation – a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE) field campaign, held from 14 to 20 July 2018. This field campaign spanned a 1-week deployment to Colorado's San Luis Valley, involving over 100 students, scientists, engineers, pilots, and outreach coordinators. This overview paper provides insight into the campaign for a special issue focused on the datasets collected during LAPSE-RATE.
A decade of GOSAT Proxy satellite CH4 observations
Robert J. Parker, Alex Webb, Hartmut Boesch, Peter Somkuti, Rocio Barrio Guillo, Antonio Di Noia, Nikoleta Kalaitzi, Jasdeep S. Anand, Peter Bergamaschi, Frederic Chevallier, Paul I. Palmer, Liang Feng, Nicholas M. Deutscher, Dietrich G. Feist, David W. T. Griffith, Frank Hase, Rigel Kivi, Isamu Morino, Justus Notholt, Young-Suk Oh, Hirofumi Ohyama, Christof Petri, David F. Pollard, Coleen Roehl, Mahesh K. Sha, Kei Shiomi, Kimberly Strong, Ralf Sussmann, Yao Té, Voltaire A. Velazco, Thorsten Warneke, Paul O. Wennberg, and Debra Wunch
Earth Syst. Sci. Data, 12, 3383–3412, https://doi.org/10.5194/essd-12-3383-2020,https://doi.org/10.5194/essd-12-3383-2020, 2020
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This work presents the latest release of the University of Leicester GOSAT methane data and acts as the definitive description of this dataset. We detail the processing, validation and evaluation involved in producing these data and highlight its many applications. With now over a decade of global atmospheric methane observations, this dataset has helped, and will continue to help, us better understand the global methane budget and investigate how it may respond to a future changing climate.
A global anthropogenic emission inventory of atmospheric pollutants from sector- and fuel-specific sources (1970â2017): an application of the Community Emissions Data System (CEDS)
Erin E. McDuffie, Steven J. Smith, Patrick O'Rourke, Kushal Tibrewal, Chandra Venkataraman, Eloise A. Marais, Bo Zheng, Monica Crippa, Michael Brauer, and Randall V. Martin
Earth Syst. Sci. Data, 12, 3413–3442, https://doi.org/10.5194/essd-12-3413-2020,https://doi.org/10.5194/essd-12-3413-2020, 2020
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Global emission inventories are vital to understanding the impacts of air pollution on the environment, human health, and society. We update the open-source Community Emissions Data System (CEDS) to provide global gridded emissions of seven key air pollutants from 1970–2017 for 11 source sectors and multiple fuel types, including coal, solid biofuel, and liquid oil and natural gas. This dataset includes both monthly global gridded emissions and annual national totals.
Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring
Cheng Chen, Oleg Dubovik, David Fuertes, Pavel Litvinov, Tatyana Lapyonok, Anton Lopatin, Fabrice Ducos, Yevgeny Derimian, Maurice Herman, Didier Tanré, Lorraine A. Remer, Alexei Lyapustin, Andrew M. Sayer, Robert C. Levy, N. Christina Hsu, Jacques Descloitres, Lei Li, Benjamin Torres, Yana Karol, Milagros Herrera, Marcos Herreras, Michael Aspetsberger, Moritz Wanzenboeck, Lukas Bindreiter, Daniel Marth, Andreas Hangler, and Christian Federspiel
Earth Syst. Sci. Data, 12, 3573–3620, https://doi.org/10.5194/essd-12-3573-2020,https://doi.org/10.5194/essd-12-3573-2020, 2020
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Aerosol products obtained from POLDER/PARASOL processed by the GRASP algorithm have been released. The entire archive of PARASOL/GRASP aerosol products is evaluated against AERONET and compared with MODIS (DT, DB and MAIAC), as well as PARASOL/Operational products. PARASOL/GRASP aerosol products provide spectral 443–1020 nm AOD correlating well with AERONET with a maximum bias of 0.02. Finally, GRASP shows capability to derive detailed spectral properties, including aerosol absorption.
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https://nypost.com/2024/01/29/news/kennedy-ladon-sanders-idd-as-us-soldier-killed-in-jordan-drone-strike/
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US soldiers killed in Jordan drone strike identified as colleagues from same Georgia unit: ‘Will be missed’
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2024-01-29T00:00:00
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Sgt. William Rivers, 46, of Carrollton, Spc. Brianna Moffatt, 23, of Savannah, and Spc. Kennedy Ladon Sanders, 24, of Waycross were slain in the Saturday night attack by Iranian-backed militants on a small outpost near the Syrian border.
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New York Post
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https://nypost.com/2024/01/29/news/kennedy-ladon-sanders-idd-as-us-soldier-killed-in-jordan-drone-strike/
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The three US service members killed in the weekend drone attack in Jordan were identified Monday as a decorated sergeant, a woman hoping to return home in June and a daughter whose mom called her an “angel.”
The tragic trio were all Georgia residents from the same military unit, officials said.
Sgt. William Rivers, 46, of Carrollton, Spc. Brianna Moffatt, 23, of Savannah, and Spc. Kennedy Ladon Sanders, 24, of Waycross were slain in the Saturday night attack by Iranian-backed militants on a small outpost near the Syrian border.
“All of these different things that she had plans for, you know, were just cut short in the blink of an eye,” Sanders’ weeping mother, Oneida, told the Washington Post. “I just feel like somebody like her, that’s so full of life, it’s just unfair that she’ll never get to realize those dreams that she had.”
Kennedy’s father, Shawn Sanders, a Marine veteran who affectionately called his daughter “Munchkin,” said the family was working on a plan to celebrate her return from the Middle East come June when they were informed of her death.
The heartbroken parents described their daughter as a hardworking young woman who helped coach local soccer and basketball teams and worked at a pharmacy while studying to be an X-ray technician.
Oneida added that Kennedy had plans to become a full-time Army soldier and was also studying Italian in hopes of visiting Italy once her service had concluded.
Kennedy was the first of the killed soldiers to be identified Monday.
“Our family would like to thank you for the respect given to Kennedy. Munchkin will be missed by many,” her father wrote in a Facebook post announcing her death.
Flags in Waycross were flying at half-staff Monday for Kennedy, her family said — and Mayor Michael-Angelo James plans to hold an honorary service when her body is returned home, WTOC reported.
The three slain service members served in the 718th Engineer Company, the 926th Engineer Battalion, and the 926th Engineer Brigade, based out of Fort Moore in Georgia.
They were killed when the armed drone hit their housing unit, US officials said.
Moffett’s mother Regina said news of her daughter’s death marked “one of the saddest days of my life.
“With a heavy heart I have to say that my Angel my first born has going on to be with GOD today,” the mom wrote over the weekend on Facebook.
“The pain will never go away and my life is forever changed. I will never get to cook your favorite food, we will never get to talk on the phone and I will never see you walk through my front door again,” she said.
“A piece of my heart and soul will always be missing,” the mom said.
“Love you Baby Girl. Rest Easy. Always will be my first born.”
Rivers had enlisted in the Army Reserves in 2011 as an Interior Electrician and had served nine months in Iraq in 2018 during Operation Inherent Resolve.
The US Army Reserve Command touted him as a decorated sergeant who had received a slew of honors, including the National Defense Service Medal, Global War on Terrorism Service Medal, the Inherent Resolve Campaign Medal with Campaign Star and other medals.
“On behalf of the Army Reserve, I share in the sorrow felt by their friends, family, and loved ones,” said Lt. Gen. Jody Daniels, Chief of the Army Reserve. “Their service and sacrifice will not be forgotten, and we are committed to supporting those left behind in the wake of this tragedy.”
Georgia Gov. Brian Kemp noted in an emotional statement that the three dead were all from the Peach State.
“Marty, the girls, and I are all saddened to learn of the deaths of three service members based out of Georgia,” the governor said, referring to his family. “These soldiers gave the last full measure of devotion in service to this country.
“This inexcusable loss of life and the attack from terrorists that resulted in these casualties is a reminder of why we stand with the friends of liberty. The entire Kemp family asks that Georgians everywhere join us in keeping the loved ones of those lost in this attack in our thoughts and prayers in the days ahead.”
The weekend assault happened at a remote base in northeastern Jordan and marked the first American fatalities from enemy fire in the region since US troops were placed on high alert after Hamas’ October 7 attack on Israel.
The drone assault also was the deadliest attack on US troops in the Middle East since an ISIS bomb killed four American soldiers in 2019.
President Biden was quick to blame Iran, which also backs Hamas, for the attacks — and vowed that the US would “respond.
“While we are still gathering the facts of this attack, we know it was carried out by radical Iran-backed militant groups operating in Syria and Iran,” the president said after the strike.
About 34 American service members also were injured, with an unknown number of them identified as members of the Arizona National Guard, who have been deployed in Jordan since September, according to FOX 10.
“Arizona National Guardsmen were identified to be in the area during the January 27th unmanned aerial drone attack in northeast Jordan, near the Syria border,” the Arizona National Guard said in a statement.
“Facts of this attack are still being collected and it is unknown at this time how many Arizona service members were impacted.”
|
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https://www.wikidata.org/wiki/Q2108154
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en
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James Kennedy
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American historian, born 1963
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en
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/static/apple-touch/wikidata.png
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https://www.wikidata.org/wiki/Q2108154
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American historian, born 1963
James Carleton Kennedy
edit
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https://www.goodreads.com/author/show/7020587.Simone_Kennedy_Doornbos
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en
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Simone Kennedy-Doornbos
|
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Simone Kennedy-Doornbos is the author of Een beknopte geschiedenis van Nederland (3.71 avg rating, 360 ratings, 33 reviews) and Nieuw Babylon in aanbouw ...
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https://www.goodreads.com/author/show/7020587.Simone_Kennedy_Doornbos
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Welcome back. Just a moment while we sign you in to your Goodreads account.
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https://ouci.dntb.gov.ua/en/works/7XdaoBY7/
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en
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Determining Legal Parentage
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uk
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Number of works in the list of references 941
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https://ideas.repec.org/e/c/pli184.html
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en
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Jeffrey B. Liebman
|
https://ideas.repec.org/favicon.ico
|
https://ideas.repec.org/favicon.ico
|
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Jeffrey B. Liebman: current contact information and listing of economic research of this author provided by RePEc/IDEAS
|
/favicon.ico
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Some searches may not work properly. We apologize for the inconvenience.
My authors Follow this author
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https://online.flippingbook.com/view/741404588
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Miller Outdoor Theatre Program
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https://fbo-b.flippingbook.com/FacebookThumbnail.aspx?hid=741404588&v=R5XB8wwI8dETjTkesZOJMA--
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https://fbo-b.flippingbook.com/FacebookThumbnail.aspx?hid=741404588&v=R5XB8wwI8dETjTkesZOJMA--
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MILLER OUTDOOR THEATRE | MAY 12-13, 2023 Houston Ballet MILLER OUTDOOR THEATRE | MAY 10-11, 2024
MILLER OUTDOOR THEATRE CONTENTS 6 MILLER OUTDOOR THEATRE The
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https://online.flippingbook.com/favicon.image?hid=741404588
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FlippingBook
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https://online.flippingbook.com/view/741404588
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MILLER OUTDOOR THEATRE | MAY 12-13, 2023 Houston Ballet MILLER OUTDOOR THEATRE | MAY 10-11, 2024
MILLER OUTDOOR THEATRE CONTENTS 6 MILLER OUTDOOR THEATRE The repertoire, artists, and cast of tonightâs show 18 COMPANY PROFILES Take a look at Houston Balletâs roster of talented dancers 26 ANNUAL SUPPORT Thank you to our generous supporters investing in Houston Balletâs world- class performances and programs
IN THIS ISSUE 16 Artistic Profiles 25 Board of Trustees 23 Houston Ballet Staff
HOUSTON BALLET
3
REPERTOIRE & CASTING p. 6 | HOUSTON BALLET ORCHESTRA p. 14 Miller Outdoor Theatre
ACT I 44 minutes INTERMISSION 20 minutes ACT II 23 minutes INTERMISSION 20 minutes ACT III 27 minutes Approximate Duration 2 hours
HOUSTON BALLET
5
ACT I
SYLVIA World Premiere: February 21, 2019 The Charge of Artemisâ Army Generously Underwritten by Phoebe and Bobby Tudor Choreography by Stanton Welch AM , for Mark Music by Léo Delibes (1836-1891) Costume and Scenic Design by Jérôme Kaplan Lighting Design by Lisa J. Pinkham Projection Design by Wendall K. Harrington
Artemis Jessica Collado
Oupis Danbi Kim
Loxo Tyler Donatelli
Hekaerge Alyssa Springer with Artists of Houston Ballet, Houston Ballet II and Houston Ballet Academy
CLINE TIME World Premiere: March 11, 2004 Crazy
Choreography and Concept by Stanton Welch AM , for Mark Music by Patsy Cline (1932-1963) By arrangement with Sony/AIV Tree Music Publishing, Nashville, TN,
publisher and copyright owner. Costumes Realized by Pat Padilla Lighting Design by Lisa J. Pinkham
Bridget Allinson-Kuhns
Syvert Lorenz Garcia, Griffin Koehl, Riley McMurray, Samuel Rodriguez, Aaron Daniel Sharratt, Ryan Williams
ROMEO AND JULIET World Premiere: February 26, 2015 Romeo and Juliet Balcony Pas de Deux Generously Underwritten by Melza and Ted Barr
Choreography by Stanton Welch AM , for Mark Music by Sergei Prokofiev (1891-1953) By arrangement with G. Schirmer, Inc, and Associated Music Publishers, copyright owners. Costume and Scenic Design by Roberta Guidi di Bagno Lighting Design by Lisa J. Pinkham
Mónica Gómez and Connor Walsh
6 HOUSTON BALLET
HOUSTON BALLET
7
MARIE World Premiere: February 26, 2009 Versailles Banquet Dance
Choreography by Stanton Welch AM , for Mark Music by Dmitri Shostakovich (1906-1975) arranged by Ermanno Florio By arrangement with G. Schirmer, Inc. publisher & copyright owner.
Costume Designs by Kandis Cook Lighting Design by Lisa J. Pinkham
Marie Antoinette Alyssa Springer
Louis Auguste (Louis XVI) Elivelton Tomazi
Elizabeth Louis XVIâs sister Gretel Batista
Charles (Count dâArtois) Louis XVIâs brother Samuel Rodriguez
Louis Xavier (Count de Provence) Louis XVIâs brother Jack Wolff
Count Axel Ferson Swedish count Skylar Campbell
Princess de Lomballe Zoe Lucich
Duchesse Polignac Jacquelyn Long
Prince Rohan Syvert Lorenz Garcia
Marquis de Lafayette Ryo Kato
Madame Henriette Campan Natalie Varnum
Comtesse dâArtois Wife of Charles Adelaide Clauss
Comtesse Provence (Maria Josephine) Wife of Louis Xavier Madison Russo Comtesse de Noailles Head servant of Marie Antoinette Jaclyn Oakley with Artists of Houston Ballet
8 HOUSTON BALLET
HOUSTON BALLET
9
GISELLE World Premiere: June 9, 2016 Giselle and Albrecht Pas de Deux Generously underwritten by Lynn Wyatt
Choreography by Stanton Welch AM , for Mark After Jean Coralli (1779-1854) and Jules Perrot (1810-1892) Music by Adolphe Adam (1803-1856) Costume and Scenic Design by Roberta Guidi di Bagno
Lighting Design by Lisa J. Pinkham Projection Design by Marty McGee
Yuriko Kajiya and Gian Carlo Perez
LA BAYADÈRE World Premiere: February 25, 2010 Agni (Fire God) Generously underwritten by Margaret Alkek Williams
Choreography by Stanton Welch AM , for Mark Choreographed after Marius Petipa (1818-1910) Music by Ludwig Minkus (1826-1917) La Bayadère , as arranged by John Lanchbery (1923-2003) Used by permission of Mario Bois and Theodore Presser, pubiishers. Costume and Scenic Design by Peter Farmer Lighting Design by Francis Croese
Masanori Takiguchi
SWAN LAKE Odette and Prince Siegfried Pas de Deux World Premiere: February 23, 2006 Generously underwritten by Margaret Alkek Williams
Choreography by Stanton Welch AM , for Mark Choreographed after Marius Petipa (1818-1910) and Lev Ivanov (1834-1901) Music by Pytor Ilyich Tchaikovsky (1840-1893) Costume and Scenic Design by Kristian Fredrikson (1940-2005) Lighting Design by Lisa J. Pinkham
Aoi Fujiwara and Chase OâConnell
IN GOOD COMPANY World Premiere: September 30, 2021 Generously underwritten by Leticia Loya
The Dead South Choreography by Stanton Welch AM , for Mark Music by The Dead South Performed by The Dead South Written by Colton Crawford, Nathaniel Hilts, Daniel Kenyon, Scott Matthew Pringle Published by Peermusic The Dead South appears courtesy of Six Shooter Records Lighting Design by Lisa J. Pinkham
Tyler Donatelli and Skylar Campbell with Artists of Houston Ballet and Houston Ballet II
INTERMISSION
10 HOUSTON BALLET
HOUSTON BALLET
11
ACT II
RESTORATION World Premiere: November 10, 2020
Choreography and Direction by Stanton Welch AM , for Mark Music by The Dead South âBlack Lungâ Performed by The Dead South Written by John Curtis Ortiz (ASCAP) The Dead South appears courtesy of Six Shooter Records.
Director of Photography, Lisa Pinkham Camera Operator / Editor, David Rivera Production Coordinator, Sarah Miller
Soo Youn Cho, Karina González, Yuriko Kajiya, Melody Mennite, Connor Walsh, Charles-Louis Yoshiyama, Christopher Coomer, Mónica Gómez, Oliver Halkowich, Allison Miller, Tyler Donatelli, Bridget Kuhns, Jacquelyn Long, Mackenzie Richter, Aaron Daniel Sharratt, Alyssa Springer, Hayden Stark, Harper Watters, Estheysis Menendez, Natalie Varnum, Henrique Barbosa, Chandler Dalton, Kellen Hornbuckle, Naazir Muhammad, Chae Eun Yang with Artists of Houston Ballet and Houston Ballet II
STANTON WELCH TRIBUTE VIDEO
ILLUMINATE World Premiere: December 1, 2023 Generously underwritten by Ann Trammell
Choreography by Jacquelyn Long Music by Oliver Davis Frontiers, Concerto for Violin and String Orchestra Presented under license from G. Schirmer Inc. o/b/o Eaton Music, copyright owners.
Costume Design by Holly Hynes Lighting Design by Lisa J. Pinkham Rasa Kalesnykaite , Violin
Aoi Fujiwara, Augustin Lehner, Naazir Muhammad, Chase OâConnell, Alyssa Springer, Allison Whitley
INTERMISSION
ACT III
VI ET ANIMO (With Heart and Soul) World Premiere: December 1, 2023 Generously underwritten by Anne and Albert Chao Choreography by Stanton Welch AM , for Mark Music by Pytor Ilyich Tchaikovsky (1840-1893) Piano Concerto No. 1 in B Flat Minor, Op. 23 Allegro non troppo e molto maestoso â Allegro con spirito
Costume Design by Holly Hynes Lighting Design by Lisa J. Pinkham Katherine Burkwall-Ciscon , Piano
Simone Acri, Eric Best, Tyler Donatelli, Mónica Gómez, Yuriko Kajiya, Danbi Kim, Jacquelyn Long, Naazir Muhammad, Gian Carlo Perez, Beckanne Sisk with Artists of Houston Ballet
12 HOUSTON BALLET
HOUSTON BALLET
13
Houston Ballet Orchestra Conducted by Simon Thew
FIRST VIOLIN Rasa Kalesnykaite*, Concertmaster Kana Kimura, Assistant Concertmaster Andrés González
CELLO Courtenay Vandiver, Principal Esra Sturman, Assistant Principal
CLARINET Julian Hernandez, Principal Sara Han Molly Mayfield
TROMBONE Michael Warny*, Principal Cameron Kerl Brian Logan
Matthew Dudzik Eleanor Herrera
BASS CLARINET Molly Mayfield
TUBA Jerome Stover, Principal
Zubaida Azezi Emily Madonia Hannah Watson Lindsey Baggett Cindy Ahn
BASS Curry Duffey*, Principal David Connor, Assistant Principal Greg Garcia* FLUTE Monica Barker, Principal Peggy Russell Roubicek* Colleen Matheu Johnson*
BASSOON Michael Frederick*, Principal James Roberson
TIMPANI Craig Hauschildt, Principal
PERCUSSION Christina Carroll*, Principal Robert McCullagh Alec Warren
SECOND VIOLIN Trung Trinh*, Principal Elizabeth Frederick*, Assistant Principal Fiona Lofthouse Karen Hall Wilkson*
CONTRABASSOON Micah Doherty
HORN James Wilson*, Principal Jamie Leff Aaron Griffin Nancy Goodearl TRUMPET George Chase, Principal Chris Boulais Theresa Hanebury* Jason Adams
HARP Joan Eidman*, Principal
PICCOLO Colleen Matheu Johnson*
Sean OâNeal Jaya Varma
PIANO Katherine Burkwall-Ciscon*
VIOLA Conor McAvinue, Principal
OBOE Spring Hill*, Principal Pablo Moreno
Matthew Weathers, Assistant Principal Dawson White Sergein Yap Matthew Carrington
ENGLISH HORN Katherine Hart
*Houston Ballet Orchestra members who have more than 10 years of service
Acknowledgements Stage Manager: Eli Walker
Sylvia is a co-production between Houston Ballet and The Australian Ballet.
General Counsel: Vinson & Elkins, LLP
Immigration Attorneys: Foster, LLP
The dancers appearing in this performance are represented by the American Guild of Musical Artists AFL-CIO
Houston Ballet Orchestra members are represented by Houston Professional Musicians Association, Local 65-699, A.F. of M.
Stage Crew personnel are placed by I.A.T.S.E., Local 51
Wardrobe personnel are placed by I.A.T.S.E., T.W.U. Local 896
Houston Ballet is a member of Dance/USA
Touring Representation: IMG Artists
OFFICIAL TELEVISION PARTNER
OFFICIAL SEASON SPONSOR OF HOUSTON BALLET
OFFICIAL HEALTH CARE PROVIDER OF HOUSTON BALLET
14 HOUSTON BALLET
HOUSTONBALLET.ORG/ACADEMY
HOUSTON BALLET
15
Artistic Staff Profiles
Julie Kent Artistic Director
choreographers such as JiÅí Kylián, Nacho Duato, and Maurice Bejart. In 1995, Mr. Welch was named resident choreographer of The Australian Ballet. For his contributions to the world of dance, he was awarded the Order of Australia (AM) in June 2015. For Houston Ballet, he has choreographed more than 20 works, including a full-length narrative ballet Marie (2009), inspired by the life of the legendary Marie Antoinette, and spectacular stagings of Swan Lake (2006), La Bayadère (2010), Romeo and Juliet (2015), Giselle (2016), The Nutcracker (2016), and Sylvia (2019).
Julie Kent joined Houston Ballet as Artistic Director in July of 2023. The longest serving Ballerina in American Ballet Theatreâs 84-year history, she danced a vast repertoire of classical and neo-classical roles from 1985-2015, working closely with choreographers John Neumeier, Twyla Tharp, Lar Lubovitch, Stanton Welch AM, Alexei Ratmansky, Mark Morris, Nacho Duato, James Kudelka, Jorma Elo, Kevin McKenzie and others. Ms. Kent also danced as an international Guest Artist with the Mariinsky Theatre, New York City Ballet, Teatro alla Scala, Stuttgart Ballet, Berlin Staatsballett, Australian Ballet, Houston Ballet, Bayerisches Staatsballett, Teatro Colon, Ballet de Santiago and Tokyo Ballet. She won the Prix de Lausanne (1986), Erik Bruhn Prize (1993) and was the first American dancer ever to win the Prix Benois de la Danse (2000). In 2012, she received an Honorary Doctorate of Performing Arts from the University of North Carolina School of the Arts and a âLifetime Achievement Awardâ from Dance Magazine and was conferred an Honorary Doctorate from American Universityâs College of Arts and Sciences in 2023. Ms. Kent also starred in the films Dancers (1987) and Centerstage (2000). From 2016-2023, she was Artistic Director of The Washington Ballet where she brought important classical and contemporary masterworks into the repertoire, commissioning over 26 world premieres. She married Victor Barbee, former Associate Artistic Director and Principal Dancer at ABT and former Associate Artistic Director of The Washington Ballet, in 1996 and they have 2 children.
Julie Kent Artistic Director
Ermanno Florio Music Director and Principal Conductor
Ermanno Florio has impressed both audiences and critics in the major centers of Europe, North America, and Asia. The extremely versatile Mr. Florio has well distinguished himself in genres of symphonic, operatic, and balletic repertoire. Mr. Florio maintains an active conducting schedule that has included extensive engagements with the worldâs major ballet companies. In 1985, Mr. Florio was appointed Principal Conductor and Music Administrator of The National Ballet of Canada by Erik Bruhn and since 1992 has held the position of Music Director of Houston Ballet. From 1998 to 2001, Mr. Florio held the position of Music Director of American Ballet Theatre. In March 2004, Mr. Florio was appointed Music Director of Het Nationale Ballet in Amsterdam and currently continues his relationship with the company as Principal Guest Conductor. Mr. Florioâs extensive discography includes DVD releases of critically acclaimed performances of The Sleeping Beauty, La Sylphide, Onegin, Cinderella, The Merry Widow, Alice, The Nutcracker, La Ronde , and Le Corsaire with ABT, which won an Emmy for Outstanding Classical Program in the Performing Arts. Mr. Florioâs DVD recording of Don Quichotte with LâOrchestre de LâOpera National de Paris also won the Cannes Classical Music Award for Best DVD in the category of Concert and Ballet Recordings. Mr. Florioâs music arrangements include scores for Patrice Bartâs Tchaikovsky , Das Flammende Hertz , and Gustaf III; Stanton Welchâs Marie and La Bayadère; and Asami Makiâs La Dame aux Camelias . Simon Thew Associate Conductor and Music Director Designate Australian Conductor Simon Thew was a regular guest conductor with The Australian Ballet between 2013 and 2016, conducting performances in most of the companyâs seasons during that time. In 2017 he accepted an invitation to become The Australian
Stanton Welch AM The Harris Masterson II Artistic Director
Ermanno Florio Music Director and Principal Conductor
Stanton Welch AM The Harris Masterson II Artistic Director
In July 2003, Australian Stanton Welch AM assumed leadership of Houston Ballet, Americaâs fifth-largest classical ballet company. Since he took the helm of the Company, Mr. Welch has revitalized Houston Ballet, bringing in new dancers, commissioning new works, and attracting a top-flight artistic staff. Mr. Welch has created works for such prestigious international companies as Houston Ballet, San Francisco Ballet, American Ballet Theatre, The Australian Ballet, Birmingham Royal Ballet, and the Royal Danish Ballet. Mr. Welch was born in Melbourne to Marilyn Jones OBE and Garth Welch AM, two of Australiaâs most gifted dancers of the 1960s and 1970s. In 1989, he was engaged as a dancer with The Australian Ballet, where he rose to the rank of leading soloist, performing various principal roles. He has also worked with internationally acclaimed
Simon Thew Associate Conductor and Music Director Designate
16 HOUSTON BALLET
Artistic Staff Profiles
Amy Fote Ballet Master
Balletâs assistant conductor, a position he held until mid 2022. He has also worked as a guest conductor for English National Ballet, Birmingham Royal Ballet and Houston Ballet. Mr. Thew was The Australian Balletâs Conducting Fellow in 2011 and was awarded a Churchill Fellowship. The Churchill Fellowship enabled him to undertake further professional development opportunities with ballet companies, opera houses and orchestras in London, Birmingham, Vienna, Berlin, and New York across 2012. In 2007, Mr. Thew was awarded the Dame Joan Sutherland/Richard Bonynge Travel Scholarship, which enabled further study in Europe, culminating in his position as musical intern at the Bayreuth Festival in 2008. Mr. Thew was an assistant conductor with Opera Australia from 2007-2010. In 2010, he held the Hephzibah Tintner Fellowship, which gave him performance and mentoring opportunities with The Australian Ballet, Opera Australia, and the Sydney Symphony. Mr. Thew undertook studies in Sydney, Vienna, Berlin, and Barcelona with mentors including Sebastian Weigle, Nicolette Fraillon AM, Harry Spence Lyth, Richard Bonynge AC CBE, and John Hopkins AM OBE. Mr. Thew also has an active concert and recording conducting career and is committed to the education of young conductors and instrumentalists. Mr. Thew joined Houston Ballet as Associate Conductor in August 2022. As of October 2023, Thew is Associate Conductor and Music Director Designate.
Amy Fote began dancing at the age of four in her hometown of Manitowoc, Wisconsin, under the direction of Jean Wolfmeyer. She continued her studies on scholarship at the National Academy of Arts, Interlochen Arts Academy, and at the Harid Conservatory, where she graduated with honors. Ms. Fote then accepted a position with the Milwaukee Ballet and rose through the ranks to become a principal dancer. During her 14 years with the company, she regularly performed at the Chautauqua Institution in New York and was subsequently invited to dance the title role in Stanton Welchâs Madame Butterfly with the Royal New Zealand Ballet. In 2005, she joined Houston Ballet, where she danced for eight seasons. In 2003, she was featured in a PBS documentary entitled Dancing Anna Karenina , focusing on her portrayal of one of the great heroines of Russian literature. She was also featured on PBS, performing Alonzo Kingâs Map , in a moving 9/11 performance. Following retirement, Ms. Fote accepted the position of Ballet Master with Ballet San Antonio. Upon returning to Houston, she began teaching for Houston Ballet II and Houston Ballet before joining the artistic staff in 2018.
Ian Casady Ballet Master
Amy Fote Ballet Master
Steven Woodgate Ballet Master
Australian Steven Woodgate graduated from The Australian Ballet School in 1985. He performed with The Australian Ballet, progressing through the ranks to senior artist in 1996. In 2000, he was awarded The Churchill Fellowship, which enabled him to observe many ballet masters from around the world and study their various teaching methods. Mr. Woodgate joined the artistic staff of Houston Ballet in January 2004. Mr. Woodgate has taught both student and professional classes around the world. Mr. Woodgate reproduced Stanton Welchâs Madame Butterfly for the Singapore Dance Theater, The Royal New Zealand Ballet, The National Ballet of Canada, Pittsburgh Ballet Theatre, Atlanta Ballet, Ballet West Utah, and The Australian Ballet. In 2009, Mr. Woodgate staged Clear for Angel Corellaâs company in Spain and in 2011 re-staged Ronald Hyndâs The Merry Widow for Texas Ballet Theatre, Tulsa Ballet, National Ballet of Canada, Teatro Colon Argentina and Houston Ballet. Woodgate also represented Australia in the Moscow Ballet Competition in 1989. Woodgate danced principal roles in Ashtonâs La Fille Mal Gardee , Van Pragghâs Coppélia , Bejartâs Le Concours and Gaite Parisienne , works by Tudor and Balanchine, Welch, and many other choreographers.
Ian Casady Ballet Master
Ian Casady was born in Fairfax, California, and received his dance training there from David Roxander, Jody White, and Georgia Ortega. In 1998, Mr. Casady studied at Houston Balletâs Ben Stevenson Academy before joining the Company as a member of the Corps de Ballet. He was promoted to Soloist in 2002, to First Soloist in 2006, and to Principal in 2007. Over the course of his career, Mr. Casady has danced a wide range of roles in works by some of the most celebrated choreographers, both past and present. Mr. Casady has been fortunate enough to have danced on some of the most historic and famous stages around the world including Lincoln Center and the Kennedy Center in New York, the Bolshoi in Moscow, the Champs Elysee in Paris, the Sydney Opera House, Sadlerâs Wells in London, and theaters in Hong Kong, Spain, Germany, and Canada. Mr. Casady was a finalist at the 2002 International Ballet Competition in Jackson, Mississippi. Upon his retirement after a 22-year professional career onstage, he joined the artistic staff of Houston Ballet as ballet master in 2020.
Steven Woodgate Ballet Master
HOUSTON BALLET
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Company Profiles
Principals
Skylar Campbell
Soo Youn Cho The Robert F. Parker Principal Dancer
Jessica Collado* The Cullen Trust for the Performing Arts Principal Dancer Birthplace Coral Springs, Florida
Karina González The Houston Ballet Guild Principal Dancer
Yuriko Kajiya The Albert and Margaret Alkek Foundation Principal Dancer
Birthplace Laguna Beach, California
Birthplace Incheon, South Korea
Birthplace Caracas, Venezuela
Birthplace Aichi, Japan
Dance Training Victor and Tatiana Kasatsky Classical Ballet Academy, mentored and coached by David Allan
Dance Training Hye Young Kim Ballet School, Sun Hwa Arts School, Canada National Ballet School, John Cranko Schule Ballet School Joined the Company 2012 Promoted to Principal 2018
Dance Training Gwinnett Ballet
Dance Training Gustavo Franklin Ballet School, Caracas, Venezuela
Dance Training Shanghai Dance School, National Ballet School of Canada
Theatre, Houston Ballet Academy, Ballet Nova of South Florida
Joined the Company as Principal 2022
Joined the Company 2004 Promoted to Principal 2017
Joined the Company 2010 Promoted to Principal 2013
Joined the Company 2014 Promoted to Principal 2014
Melody Mennite*
Chase OâConnell
Beckanne Sisk
Connor Walsh* The Fondren Foundation Principal Dancer
The Melza M. Barr Principal Dancer
The Anita B. Stude Principal Dancer
Birthplace Santa Cruz, California
Birthplace Fredericksburg, Virginia
Birthplace Longview, Texas
Birthplace Fairfax, Virginia
Dance Training Santa Cruz Ballet Theatre, Houston Ballet Academy
Dance Training Kirov Academy of Ballet, Royal Ballet School
Dance Training Longview Ballet Theatre, The Rock School for Dance
Dance Training Kirov Academy of Ballet, Harid Conservatory, Houston Ballet Academy Joined the Company 2004 Promoted to Principal 2007
Joined the Company 2001 Promoted to Principal 2008
Joined the Company as Principal 2022
Joined the Company as Principal 2022
* denotes dancers who have trained in the Houston Ballet Academy
18 HOUSTON BALLET
COMPANY PROFILES
First Soloists
Tyler Donatelli* The Houston Ballet Guild First Soloist Birthplace Huntington Beach, California Dance Training Southland Ballet Academy, Houston Ballet Academy
Mónica Gómez
Gian Carlo Perez
Harper Watters*
Birthplace Havana, Cuba
Birthplace Havana, Cuba
Birthplace Dover, New Hampshire
Dance Training National Ballet School of Cuba
Dance Training Escuela de ballet Alejo Carpentier, Escuela Nacional de ballet Fernando Alonso
Dance Training Houston Ballet
Academy, Walnut Hill School for the Arts, Portsmouth School of Ballet Joined the Company 2011 Promoted to First Soloist 2021
Joined the Company 2014 Promoted to First Soloist 2022
Joined the Company 2015 Promoted to First Soloist 2019
Joined the Company as First Soloist 2023
Soloists
Simone Acri
Bridget Allinson-Kuhns*
Eric Best*
Aoi Fujiwara*
Ryo Kato
Birthplace Indianapolis, Indiana Generously underwritten by James Stafford and Deborah Keyser
Birthplace Saitama, Japan
Birthplace Columbus, Ohio
Birthplace Osaka, Japan
Birthplace Saitama, Japan
Danbi Kim*
Jacquelyn Long*
Naazir Muhammad*
Aaron Daniel Sharratt* Birthplace Tuscon, Arizona
Alyssa Springer*
Birthplace Suwon, Republic of Korea
Birthplace Cleveland, Ohio
Birthplace Brooklyn, New York
Birthplace Orange County, California
* denotes dancers who have trained in the Houston Ballet Academy
HOUSTON BALLET
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COMPANY PROFILES
Demi Soloists
Adelaide Clauss
Yumiko Fukuda
Syvert Lorenz Garcia*
Kellen Hornbuckle*
Birthplace Buffalo, New York
Birthplace Saitama, Japan
Birthplace Oslo, Norway
Birthplace Ann Arbor, Michigan
Birthplace Havana, Cuba Estheysis Menendez
Rench Soriano
Masanori Takiguchi
Elivelton Tomazi
Birthplace Bacolod, Philippines
Birthplace Tokyo, Japan
Birthplace Joinville, Santa Catarina, Brazil
Natalie Varnum*
Jack Wolff*
Chae Eun Yang
Birthplace Ashford, Alabama
Birthplace Houston, Texas
Birthplace Seoul, Republic of Korea
Corps de Ballet
Henrique Barbosa* Gretel Batista
Magnoly Batista*
Jindallae Bernard*
Neal Burks*
Birthplace Maracanaú, CE, Brazil
Birthplace Havana, Cuba
Birthplace Santiago, Dominican Republic
Birthplace New Orleans, Louisiana
Birthplace Jacksonville, Florida
* denotes dancers who have trained in the Houston Ballet Academy
20 HOUSTON BALLET
COMPANY PROFILES
Jaci Doty*
Emma Forrester*
Rafaela Henrique*
Griffin Koehl*
Augustin Lehner*
Birthplace Shenandoah, Iowa
Birthplace Houston, Texas
Birthplace Jundiai, SP, Brazil
Birthplace Harford, Maryland
Birthplace Ľubotín, Slovakia
Zoe Lucich
Riley McMurray*
Saul Newport*
Jaclyn Oakley
Samuel Rodriguez
Birthplace Marin County, California
Birthplace Chicago, Illinois
Birthplace London, England
Birthplace Winston-Salem, North Carolina
Birthplace Atlanta, Georgia
Madison Russo*
Song Teng*
Sayako Toku
Ryan Williams*
Birthplace West Palm Beach, Florida
Birthplace Hunan, China
Birthplace Hyogo, Japan
Birthplace Phoenix, Arizona
Apprentices
Birthplace Madison, Wisconsin Nikita Baryshnikov*
Rylan Doty*
Taela Graff
Alejandro Molina Leon
Allison Whitley*
Birthplace San Diego, California
Birthplace Miami, Florida
Birthplace Barcelona, Spain
Birthplace Norfolk, Virginia
* denotes dancers who have trained in the Houston Ballet Academy
HOUSTON BALLET
21
Itâs not just shopping. Itâs an experience.
SPECIAL EVENTS ARE ON SALE NOW!
Wells Fargo Preview Party Wednesday, November 13 Cecilia Campbell, Ann Graham and Blair Kessler, Co-Chairs
Saks Fifth Avenue Fashion Show & Luncheon Thursday, November 14 Ileana Treviño and Beth Zdeblick, Co-Chairs Sharon Erskine, Honoree
Macyâs Fashion Show & Luncheon Friday, November 15 Michelle Barrett, Sarah Davidson and Michelle Jeffery, Co-Chairs Cheryl Zane, Honoree
NOVEMBER 14-17, 2024 | NRG CENTER NUTCRACKERMARKET.COM
Houston Ballet Staff
ARTISTIC Julie Kent â Stanton Welch AM* Artistic Directors Ian Casady* Amy Fote* Steven Woodgate*
MUSIC â Ermanno Florio*
Sofia Del Villar Nutcracker Market Manager Victoria Deleon Development Process Coordinator Jennifer Estrada* Associate Director, Nutcracker Market Jackie Forrester Assistant Director, Donor Relations Jasmine Fuller Cane Assistant Director, Development Communications and Publications Joey Gaona Assistant Director, Institutional Giving Ana Gonzalez* Assistant Director, Tessitura Operations Allison Gray Assistant Director, Special Events Kharma Grimes Development Communications Manager Lindsey Hurst* Director of Institutional Giving Erika Jordan Director of Individual Giving Susan Lehmann Nutcracker Market Associate Alex Martinez Development Coordinator Angie Pickering Institutional Giving Coordinator Katie Waller Special Events Coordinator Alexandra Yates Senior Director, Special Events Baylee Zeringue Nutcracker Market Communications Manager
Brittany Restrepo Associate Director of Ticketing Services Christina Martinez, Carlyn Scott* Box Office Managers Nicole Levy Ticketing Services Coordinator Mike Miles Audience Services Coordinator Soledad Lara, Diamond Rector Box Office Shift Leads Verity Butler, Jordan Daniel, Craig Perez, Eloisa Perez, Ryan Perez, Jacqueline Salinas, Audrey Ulloa, Mary Wemple Wortham Theater Center Box Office Customer Service Representatives Madeline Carr, Caroline Carreon, Morgan Drouin, Luci Fuller, Catherine Taraviras Part-Time Seasonal Sales Associates PRODUCTION â Michelle de los Reyes* Head of Production â Sandra Fox Head of Costumes â Lisa J. Pinkham* Resident Lighting Designer
Akihiro Kawasaki Head Academy Strength & Conditioning Coach Lauren Anderson* Associate Director, Education and Community Engagement
Music Director and Principal Conductor Simon Thew Associate Conductor & Music Director Designate Emma Wine Orchestra Manager/Music Administrator Theresa Hanebury* Music Librarian/ Pianistsâ Manager Katherine Burkwall-Ciscon* Principal Pianist/Music Coordinator William Patterson Academy Pianist Manager Tyrone Boyle, Jennifer Edmondson, Grecia Lavenderos,* Kuanyi Lu, William Marsden,* William Patterson, April Zhi Li- Thompson Pianists Krume Andreeveski, Benjamin Chavez, Marshall Davies, Krystel Grauvogl, Adeline Gingell, Tomoe Hayashi, Ning-Chih Hsu, Nara Jeffus, Elizabeth Mendez, Kana Mimaki, Pelayo Parlade, Michele Vesceri, Andrew Vu Part-Time Pianists Terrence Karn, Paul Kasperitis, Ilya Kolosz, Kirk Suddreath Academy Part-Time Percussionists
Jamie L. Cegelski, Alexandra Garza
Ballet Masters Makenzi Kalsch Artistic Administrative Coordinator Brittany Broussard Artistic Planning Coordinator
Education & Community Engagement Coordinators Carol Anglin, Victoria Arizpe, Brittany Bass, Melanie Boettcher, Lauren Burke, Ashley Clos, Dwayne Cook, Lucia De Valle, Dawn Dippel, Rupert Edwards, Heidi Erickson, Carla Flores Keniston, LaRodney Freeman, Allison Gonzalez, Valerie Handy, Spencer Hering, Laura Hilley, Aimee Kilgore, Patricia King, Nao Kusuzaki, Paige Kutschall,
ADMINISTRATION â James Nelson* Executive Director â Kelli Gilson* General Manager
Rachael Cierniakoski Company Manager Paige Kutschall Board and Executive Relations Manager FINANCE â Kristi Roberts Chief Financial Officer â Rachel Koenig Director of Human Resources Thelma Hearren Controller Denise Guevara Senior Accountant Kay Ross Senior Accountant II Kenneth Knight II Payroll Manager Diamantina Peña* Accounts Payable Coordinator Yeriel Zaragoza Human Resources Coordinator Garth Luther* Associate Director, Facilities Laura Salcedo Human Resources Assistant
Gabrielle Luna, Elizabeth McMillan, Lindsey McGill,
Mallory Mehaffey, Paola Murga, Patricia Obey, Krissy Richmond, Lucinda Rohrer, Kamryn Spell, Holda Torres, Dalirys Valladares, Victoria Vittum, Jane Weiner, Brenden Winkfield Education & Community Instructors & Teaching Artists Anna Gould, Chloe Normand, Christopher Amaro, Destiny Miller, Jamela Johns, Katherine Wicks, Lara Hannaford, Morgan Clark, Nataly Buenrostro, Torri Richardson Part-Time Academy Class Monitors Kimberly Campos, Monica Bondi, Pam Blangy, Brittany Deveau, Danielle Farzenegen, Keith Gacrama, Hilary Gibson, Michelle Gregovic, Nadia Khan, Patricia King, Mallory Littell, Katrina Olson, Lisa Petrozzi, Michelle Phillips, Victor Reyes, Jennifer Trimmer, Macey Westall Wellness Team Kelsey Fyffe Academy Counselor Judy Spong Academy ESL Teacher Emily Hahn Academy Nutritionist Jocelyn Sierra Academy Resident Dorm Supervisor Amy Pearl Resident Advisor Connie Ball Part-Time Dorm Chaperone Amber Cox, Rebecca Morales,
Graham Sattinger Technical Director
Jonathan Moore Stage Manager Eli Walker Assistant Stage Manager Julia Ridenhour Production Operations Manager Morgan Brochu Production Coordinator Barry Thomas* Master Electrician Paul Gibson
ACADEMY â Jennifer Sommers* Academy Director Claudio Muñoz* HBII Ballet Master Cheryne Busch* Upper School Principal Beth Everitt* Lower School Principal & Childrenâs Ballet Master Orlando Molina Boysâ Program Manager Susan Bryant*
Assistant Electrician/ Light Board Operator Jason Mathis* Assistant Electrician
MARKETING AND PUBLIC RELATIONS â Angela Lee* Director of Marketing and Public Relations Elizabeth Sosa Bailey Public Relations Manager Jared Murphy Graphic Designer Lynn Chung*
Patricia Barnes, Kaitlynn Berrones, Ivana Ramirez Receptionists TECHNOLOGY Alejandro Rivas Associate Director of Networking Joshua Jemio Help Desk Manager Erik Orbe Help Desk Associate I Gevais Jefferson IT Project Coordinator Daniel Skinner Network Administrator Jacqueline King IT AV Tech
Gregory Stewart Head Carpenter Cait Dean Property Master Alexa Carlson, Michael Lavin Costume Shop Manager Beau Hamilton Wardrobe Coordinator
Christopher Coomer* Kelly Myernick Kubin* Academy Principal Instructors Katie Wesche Associate Director of Academy Administration Yahudi Castañeda* Academy Associate Director of Artistic Operations Carla Cortez Academy Communications Manager Dustin Shaw Academy Programs Manager Bryana Bordelon Student Life Manager Tempest McLendon Academy Administrative Coordinator Reagan Lynch Academy Artistic Operations Coordinator Angela Galvez Academy Student Support Coordinator
Marketing Coordinator Emily Averitt-Cleveland Education Marketing & PR Manager Arineh Allahverdian Digital Marketing Coordinator Leslie Goodrum Retail Merchandise & Display Manager Anne Wheeler Archivist Project Manager David Rivera* Associate Director of Audio & Video Services Cordero Jennings, Aaron Thomas Audio Visual Assistants Lauren Gayden* Head of Ticketing Services
Madelynn Archer, Freddy Reymundo Wardrobe Supervisors Meghann Mason
Wig and Makeup Supervisor Ashly Martinez, Dylan Sulak, Darcie Teasley, Alexandra Urvois Wig and Makeup Technicians Kendall Sarro Wardrobe Admin Assistant Glinda Anderson, Alyssa Cantu, Samira Craig, Allison Duke, Megan Essenmacher, Michael Farris, Alfredo Gonzalez, Monica Guerra, Ashley Jones, Marcus Pontello, Arabella Reyna Costume Technicians Sarah DeLeon, Ashlyn Wood Laundry Technicans
Nathanial Nakadate* Academic Advisors
DEVELOPMENT â Angie Lane Chief Development Officer Haley Calvert Gift Officer Chyna Clark Donor Relations Manager Amanda Coleman Development Communications Coordinator
HOUSTON METHODIST STAFF Carina M. Nasrallah, MS, LAT, ATC, CISSN Head Athletic Trainer Dawn Stuckey Academy Athletic Trainer
*Houston Ballet staff who have more than 10 years of service â Senior leadership
HOUSTON BALLET
23
LEAVE A LASTING LEGACY
When you include Houston Ballet in your Will or as a beneficiary of your life insurance policy or retirement plan, youâll ensure the Company you love will dance on â forever. And to recognize you for your outstanding commitment to Houston Ballet and our artform, let us know your plans and weâll thank you through special benefits each season as a member of The Arabesque Society.
To learn more, please contact Erika Jordan, Director of Individual Giving, at 713.535.3241 or ejordan@houstonballet.org
2023-2024 Board of Trustees
EXECUTIVE COMMITTEE
OFFICERS Mrs. Leigh M. Smith*, Chairman Mrs. Kristy J. Bradshaw, President Ms. Hallie Vanderhider, Secretary
Mrs. Amy Pincu, Treasurer & Vice President â Finance Mr. Jesse H. Jones II*, Vice President â Development Mrs. Elizabeth Leykum, Vice President â Education & Community Engagement Mrs. Kelley S. Lubanko, Vice President â Trustee Development
Mr. Daniel M. McClure, Vice President â Investment Mrs. Elizabeth R. Zdeblick, Vice President â Academy Chad Libertus, Vice President â IDEA
MEMBERS-AT-LARGE Mrs. Melza Barr â Mr. Sean Becker â Mr. James Cowan â Mrs. Renee Humphrey â Ms. Leticia Loya Mrs. Carroll Robertson Ray â Ms. S. Shawn Stephens* â Mrs. Allison Thacker* â Stephanie Tsuru â Mrs. Phoebe Tudor* Mrs. Christine M. Underwood â Mr. Marcus A. Watts â Mrs. Margaret Alkek Williams (L) â Mrs. Lynn Wyatt
TRUSTEES
Mr. W. Cameron Alguire Mrs. Leslie Alston Dr. Julia D. Andrieni Mr. Bill Baldwin Mrs. Diane Bazelides Ms. Ann C. Bean Mr. Gary V. Beauchamp Mrs. Gina Bhatia
Mrs. Marianne Geagea Mrs. Mignon Gill Sandra S. Godfrey Mrs. Ann Graham Anne Graubart Ms. Victoria Gutierrez Mr. Joseph A. Hafner, Jr.
Marsha L. Montemayor Ms. Nancy Powell Moore Ms. Desrye Morgan Ms. Beth Muecke Mrs. Patti Murphy Dr. Duyen Huynh Nguyen
Tammy Tran Nguyen Mrs. Cabrina Owsley
Mr. Herschel Hamner Dr. Joshua D. Harris Mrs. Nancy Ferguson Haywood Mr. Michael Heckman Mrs. Winell Herron
Mrs. Susan Binney Mrs. Leslie Blanton Ms. Lindsey Brown Mrs. Lenni Burke Ms. Zoe Cadore Ms. Kim Cagle
Mr. James Parr Mrs. Elisa S. Pye Monica Radoff Mr. Ron Rand Macey Reasoner
Mrs. Jayne Johnston Mr. James M. Jordan* Mrs. Russell C. Joseph Ms. Melissa Juneau
Laura M. Robertson Mrs. Akemi Saitoh Ms. Samira A. Salman Mrs. Louisa Stude Sarofim* (L) Mr. Kent Schaffer Ms. Jordan Seff Mrs. James Shaffer
Mr. Erich Canseco Mrs. Anne S. Chao Ms. Keiko Chevray Mr. Mike Chou Mr. and Mrs. James W. Crownover Mrs. Rosanette S. Cullen
Natasha Khan Mr. Ed Koehler Mr. Phil Lane Ms. Melanie Lawson Ms. Amy LeBlanc Dr. Bridgitte Shen Lee Mr. Mark Loveland Mr. Joseph A. Matula Mrs. Jean E. May Mrs. J. Luke McConn III Mrs. Kris McGee Richard K. McGee* Mrs. Martha Rocks McMurrey Mrs. Michael Mithoff
Ms. Sasha Davis Ms. Jane DiPaolo Mrs. Carter Dugan Mrs. Pamela D. Earthman Sharon F. Erskine Mrs. Martha Finger Richard W. Flowers Hon. Charles C. Foster Mrs. Kate Dearing Fowler Mrs. Jo Furr
Ms. Sunday Shepherd Dannika E. Simpson Mrs. Alicia Smith Mrs. Heidi Smith Dr. Liliana Soltero Becca Cason Thrash Mrs. Erika Toussaint Mrs. Ileana Treviño Mrs. Rini Ziegler
(L) Life Trustee * Former Board President
HOUSTON BALLET
25
Annual Support
Houston Ballet is grateful to our generous individual supporters who ensure we remain a world-class ballet company, bringing high-caliber, exhilarating performances and educational programming to audiences of all ages.
Étoile $100,000 OR MORE
Melza and Ted Barr Gary V. Beauchamp and Marian Wilfert Beauchamp The Brown Foundation, Inc. Anne and Albert Chao ConocoPhillips The Cullen Foundation
KPRC Ms. Leticia Loya Cabrina and Steven Owsley Isla and T.R. Reckling Yasuhiko and Akemi Saitoh The Sarofim Foundation Allison and Troy Thacker Ann Trammell Stephanie and Frank Tsuru Phoebe and Bobby Tudor Hallie Vanderhider Margaret Alkek Williams The Wortham Foundation, Inc.
The Cullen Trust for the Performing Arts The Jerry C. Dearing Family Foundation
The Events Company Houston Ballet Guild
Houston Methodist Mr. Jesse H. Jones II Deborah and Edward Koehler
Directors Circle $50,000-$99,999
Friend of Houston Ballet Myra Brown Mrs. Jerry Ann Woodfin-Costa and Mr. Victor Costa Lori Gallagher and Curtis Huff Norah Orphanides
Kent and Shara Schaffer Mr. and Mrs. Reginald R. Smith Mr. Mike S. Stude Lynn Wyatt Syma and Walter Zerkow
Artists Circle $25,000-$49,999
Friend of Houston Ballet Drs. Julia Andrieni and Robert Phillips Mr. and Mrs. Christopher Bradshaw
Dr. Michael Hawkins and Dr. Liliana Soltero Mr. and Mrs. Henry S. May, Jr. Kris and Richard McGee Marvin and Martha McMurrey
Macey and Harry Reasoner Dylan and Jordan Seff James Stafford and Deborah Keyser S. Shawn Stephens and James M. Jordan Mary and Greg Whalley
Marianne and Joe Geagea Mignon and Stephen Gill
Mr. Dee S. Osborne Elisa and Cris Pye
Presidents Circle $15,000-$24,999
Dr. and Mrs. Devinder Bhatia Sasha Davis and Joseph Matulevich Marsha and Sam Dodson Twana and Kelly Faykus Mr. and Mrs. Joseph A. Hafner, Jr. Claudia and David Hatcher
Mrs. Nancy Ferguson Haywood Mr. and Mrs. Russell C. Joseph D. M. Marcinek Marsha L. Montemayor Ms. Nancy Powell Moore James Nelson and Richard Lapin
Kevin S. Potter Carroll and Hugh Ray Mike Rydin Ms. Elizabeth Schwarze
Mr. and Mrs. Nicholas L. Swyka J. Michael and Ileana Treviño
26 HOUSTON BALLET
ANNUAL SUPPORT
VIRTUOSO $7,500-$9,999 Friend of Houston Ballet
Laura and Joe Freudenberger Prince and Princess Piotr and Maria-Anna Galitzine David & Anita Garten Cynthia and Ty Geiger Dr. Eugenia George Mitchell B. George and Stanley Curtis, Jr. Beth and Wayne Gibbens
Joseph Henry Rose Gregory and Dina Rozenfeld Michele and Robert Ryan Ms. Jaleh Sallee The Sartain and Tamez Family Trust Bob Scott and Susan Bickley Sarah and Tom Scott Linda and Charles Shearouse Mr. and Mrs. Thomas M. Simmons Tricia and Mark Singer Diana Skerl and Michael Karakasians Michael B. Smith Mrs. Christine Sofka Ann and Robert Stephens Summit Dental Center-Dr. Essa A. Kawaja Dr. Jeffrey Sweterlitsch Dr. Jeff and Erin Thompson Leon and Pat Thomsen Drs. Peter and Pamela Triolo Paul and Sherry Vaughan Stanton Welch AM Mrs. Sara E. White Susan Whitfield Mrs. Andrew Wilkomirski Loretta and Lawrence Williams Helen B. Wils and Leonard A. Goldstein Doug & Kay Wilson
Anne Morgan Barrett Zachary and Karen Bell Mr. Erich Canseco C.C. Conner, Jr. and David Groover Sylvie and Gary Crum
Dr. and Mrs. Thomas Doneker Marcia and Tom Faschingbauer Perry and Cinda Forrester Marion and Caroline Freeman Marion and Gary Glober Mr. Samuel F. Gorman Dr. Raymond and Leora Kahn Kathleen Moore and Steven Homer Geri Noel Dr. David W. Reininger and Laura Lee Jones
Dr. and Mrs. George S. Glass Mr. and Mrs. Joel Grossman William and Jane Guest Mr. Brent Hallmark Lauren and Herschel Hamner Linda Lloyd Hart Susan and Michael Hawes Mr. and Mrs. Jim Hibbert
Tami Hiraoka Gillian Hobson Gary Hollingsworth and Ken Hyde Lonnie Hoogeboom and Betsy Strauch Mrs. James E. Hooks Dr. Farnaz Dini Swagelok Texas Mid-Coast Mr. David Jones and Mrs. Jila Bakker Ara Karian
Susan and Ed Septimus Mr. Timothy Wampler
AMBASSADOR $4,000-$7,499
Friends of Houston Ballet Dr. and Mrs. George J. Abdo Mr. W. Kendall Adam Ms. Jacqueline S. Akins Mrs. Joan G. Alexander Nancy C. Allen Leslie Alston and Michael Zenker
Mrs. Neale W. Kempner John Atterbury Kendall Susan and Michael Klaveness Ms. Ann Koster Mrs. Warren W. Kreft
Gaddis and Susan Wittjen Steve and Patricia Yatauro Dow and Meredith Zabolio Mr. John L. Zipprich II
Maida and Paul Asofsky Kyle and Christian Baker Mr. and Mrs. Paul Balmert
Emily Kuo and Michael Chu Jake and Jennifer Kushner Angie Lane and Nick Eoff Dr. Claire Langston Susan Lapin Stephanie Larsen and Bryn Kristen Larsen Ms. Amy LeBlanc Ms. Tracy N. LeRoy Chad Libertus Bob and Sharon Lietzow Ms. Judy Liu Stephen and Chris Lukin Dr. and Mrs. Michael Mann Mr. and Mrs. Alexander Matiuk Tom Mays Bill, Julie, and Jason McClung Warren and Yana McFatter Mimi Reed McGehee Vickie Milazzo and Thomas Ziemba
YOUNG AMBASSADOR $2,000 Friend of Houston Ballet Renee Anderson Nicholas Baran and Amanda Bosley River Oaks Dance Andrew and Mary Allen Cope Devon and Jim Furl Amy Goodpasture Stuart and Meghan Humphries Karen Kwok Mrs. Jordan Macha and Mr. Kent Hemphill
Walter Bering Muffet Blake Anne Orton Boss Ms. Michaela Botha Mr. and Mrs. David A. Bristol, Jr. Katherine Brooker and Thomas Stenack Mr. and Mrs. Mark Brookner Lindsey Brown Reagan and Claudia Burch Ms. Zoe Cadore Kim Cagle and Tim Mullin Maria Claudia Caldas Jess and Patricia Carnes Michael & Beth Chambers Mrs. Jeannie Rich Chandler Nada Chandler Mr. Robert Chanon Donna Collins Mr. Michael Collins and Dr. Michael Evans Mr. Robert and Dr. Carol Collins Ramon Creixell Rochelle Cyprus Laura Dawson and Kevin Small David and Lynne Devine Mary Rebecca and Cody Dick Sandra Didlake Dr. and Mrs. Donohue Mrs. Carol Drawe Burl and Jenny Wang Drews Danielle Ellis C.C. and Duke Ensell The Honorable Catherine and Mr. James Evans Mary Ann and Larry Faulkner
David Moyer II Trevor Myers Melissa L. Nance P.E.
Elizabeth Price Melissa Reihle Mr. and Mrs. Michael Ritchie
Miller Theatre Advisory Board Mr. and Mrs. Jordan H. Mintz Ginni and Richard Mithoff David Montague and Diane Ferrufino-Montague Brad and Lauren Morgan
Cristina M. Romeu Kristiann Rushton Dr. Addy Satija Dr. Lana Rabinovich and Mr. Leo Slootsky Lauren Walstad Hardy BRAVO $2,000-$3,999 Friend of Houston Ballet Mrs. Elaine Adams Norah G. Adams Ken Alston Anthony and Gina Bahr Mr. and Mrs. Stephen J. Banks Christopher Barr & Patricia Shanley Drs. Robert and Nancy Benjamin Donna Cole Stephen and Linda Bickel George and Evette Blumenschein Pauline Bolton
Mr. and Mrs. James M. Nicklos Peggy Pennington OâConnor Mr. Michael and Mrs. Catherine Oestmann Martha Farish Oti Robert and Mireille Patman Mr. and Mrs. Jordan Alexander Pincu Mr. and Mrs. Frederick J. Plaeger II Vsevolod Popov
Ms. Lori Fultz Priess Joan and Lou Pucher Mr. and Mrs. Eric Reed Kent and Sandy Reynolds Fay and George A. Rizzo Sharon Roark Jan Roberts
Vicki Faulkner Sidney Faust Marla and Stewart Feldman Bari & David Fishel
HOUSTON BALLET
27
ANNUAL SUPPORT
Mr. and Mrs. R. Lawrence Brown III Lynn Churay Drs. Steven Craig and Janet Kohlhase Shannon Crain Design Jeanne Doornbos and Michael Maher Mrs. Jenny Elkins
Corporations, Foundations, and Public Agencies Houston Ballet gratefully acknowledges the support of the following corporations, foundations, and public agencies.
Mrs. Madeleine Ferris Pearl and Israel Fogiel Ms. Leslie Gassner Jason and Monik Giordano Mary and Tony Gracely Lisa Gray Dave and Bodil Guenther Mr. and Mrs. Ross K. Hill
$750,000 OR MORE The Brown Foundation, Inc. Houston Methodist $500,000-$749,999 City of Houston through Houston Arts Alliance
$25,000-$49,999 Baker Botts LLP Charles Schwab William S. and Lora Jean Kilroy Foundation M. D. Anderson Foundation Norton Rose Fulbright Rand Group Sidley Austin LLP Texas Childrenâs Pavilion for Women
Yolanda C. Knull Brenda Landry Joseph Levitan and Nicolo Messana Philip Livingston Mr. and Mrs. Peter MacGregor Ms. Patricia McMahon Colonel Michael Mergens and Mrs. Mergens Ms. Desrye Morgan Patti Mullendore Paula and Geoff Newton Wanda A. Reynolds Marna & Fred Schacknies Mr. Sam L. Stolbun and Dr. Alana R. Spiwak Ann Wales Suzanne Walstad Dr Joan and Mike Weltzien Jim and Nancy Winget Betsy Winn Qval Property Advisors Mr. and Mrs.â Richard Wright ENCORE $1,000-$1,999 Friends of Houston Ballet Dr. Linda H. Alexander Nick and Jo Allen Kenneth Anderson and Jean-Marie Simon Dr. and Mrs. Robert E. Anderson Deborah Bautch Victor and Anna Mae Beghini Fund Ed A. and Valerie Blair Mona Bostwick Dick and Claire Brooks Dr. Fred J. Buckwold Kyle Burks Rochelle and Jordan Buff Marilyn Caplovitz Stephanie and Ted Carpenter Steve and Lynne Clark Mr. Wayne Clark Brenda J. and Richard Clem Mike and Linda Condit Kent Cook and Ann LeBlanc Cook Elena DeLaunay Mr. and Mrs. Michael A. Denham
$100,000-$499,999 Melza M. and Frank Theodore Barr Foundation, Inc. Ting Tsung and Wei Fong Chao Foundation City of Houston through Mayorâs Office of Cultural Affairs ConocoPhillips The Cullen Foundation The Cullen Trust for the Performing Arts The Jerry C. Dearing Family Foundation Houston Ballet Guild KPRC Mid-America Arts Alliance The Sarofim Foundation The Shubert Foundation, Inc. Texas Commission on the Arts $50,000-$99,999 Bank of America Beauchamp Foundation Chevron City of Houston through the Miller Theatre Advisory Board, Inc. The Freebird Foundation H-E-B Houston Livestock Show and Rodeo The Humphreys Foundation KPMG LLP KRBE NÜTRL Vodka Seltzer The Powell Foundation Shell USA, Inc. Vivian L. Smith Foundation United Card Events from Chase Van Cleef & Arpels Wells Fargo
$10,000-$24,999 Bora
De Beers Jewellers The Friedkin Group George and Mary Josephine Hamman Foundation Albert and Ethel Herzstein Charitable Foundation
Houston Area BMW Centers Junior League of Houston, Inc. KNOWAutism Foundation John P. McGovern Foundation
Mitsubishi Corporation (Americas) Mitsubishi Heavy Industries America Nan and Company Properties Northern Trust Sterling-Turner Foundation Sumitomo Corporation of Americas Truist Bank Truluckâs Vinson & Elkins LLP Willow Hill Soap Company $2,500-$9,999 The Gordon A. Cain Foundation DICKâS Sporting Goods William E. & Natoma Pyle Harvey Charitable Trust The Joan and Marvin Kaplan Foundation Longhorn Charter Bus Nippon Steel North America, Inc. Samsville Gallery The Sartain and Tamez Family Trust Fund
Suzi Feickert Myrna Fisch Mike and Lindsay Fiuzat
Mr. and Mrs. Harvey Fleisher Mr. and Mrs. Harris Forbes Christopher and Ann Frautschi Anne Marit Ghazi John & Brittany Gilmour Char Gollogly Cheyenne Nicole Management Russell Handy Karen & Jay Harberg
28 HOUSTON BALLET
ANNUAL SUPPORT
Nancy L. Harwell Diana and Russell Hawkins Cynthia Herzog and Rocky High Ms. Kathryn de Sousa Gabriel and Agnes Hortobagyi Caroline and Bruce Hurley Mr. Francisco J. Izaguirre Sandra and Richard Jackson Jill and Dunham Jewett Ms. Emily Kao Molly Ann Kaplan
The Arabesque Society recognizes and honors those friends who have provided for Houston Ballet in their estate plans. These generous individuals allow Houston Ballet to continue to perform world-class ballet, be a premier training ground for dance, and create important education and community outreach programs by helping to safeguard its future. With deep gratitude, we acknowledge the following donors for including Houston Ballet in their estate plans. Arabesque Society
Andrew & Rachel Keen Doug and Karen Kenaley Stephen and Patricia King
Friends of Houston Ballet Dr. and Mrs. George Abdo Susan Battelstein Jack Bell Dr. Patrick Benge The Edna Madden and Paul John Berres Charitable Remainder Trust Mr. and Mrs. Christopher Bradshaw
Dr. James E. and Betty W. Key Susan E. Lehmann Mrs. Evelyn Leightman Dr. Brian Malechuk and Mr. Kevin Melgaard Mr. and Mrs. Alexander Matiuk Christianne Melanson Shane A. Miller Mr. Juan R. Morales Ms. Kathleen Much Mrs. Patti Murphy James D. Nelson Dr. Susan Osterberg Richard A. and Thelma A. Percoco Rick and Kathy Plaeger Shelly and Marty Power Sharon Roark Jon and Nell Schwartz Dr. and Mrs. Robert S. Toth Ann G. Trammell Lynda Lighthouse Transier Drs. Peter and Pamela Triolo Ms. Jana E. Vander Lee Elba L. Villarreal Dean Walker Rabbi and Mrs. Roy A. Walter Margaret (Midge) Wische Gaddis and Susan Wittjen Cecilyâ and Jim Young Mr. John Zipprich
Mrs. Jennifer Lambert Paul and Nancy LeGros Mrs. Sylvia Lohkamp Mr. Robert Lorio Dr. Brian Malechuk and Mr. Kevin Melgaard Renee Margolin Michael and Onalee McEwen Julie Miles
Myra Brown Tripp Carter Cecil C. Conner, Jr. Sasha Davis Burton Dickey and Yean Sun Debra Donaldson Sharon Erskine Vicki Faulkner Susan Feickert Myrna Fisch Mrs. Barry Galt Mitchell B. George Mr. Samuel F. Gorman Anne and Donaldâ Graubart
Montenegro Family Kerry & Steve Morby Terrylin G. Neale
Carolina Aragao de Oliveira Martha and Richard Owen Mrs. Peg Palisin and Mr. Gary C. Gardner Mrs. Jo Papadakis Richard A. and Thelma A. Percoco Ann and Lou Raden Mr. and Mrs. Cameron Ray Elena Lexina and Brian Rishikof Maura and Walter Ritchie Josh and Ann Rowland Brenda and Mansel Rubenstein Mr. and Mrs. Russell D. Sellen Pauli&Pets Mrs. Randal Smith Becky and Wayne Sneed Ms. Judy Spinella Christen and Amy Springs Carol Todd Stamatedes Joe Stampleman & Brett Elizabeth Gardner Marty and Bob Stein Paula Sutton and Bill Gross Kay and Bert Tabor Amir Taghi Marty Thomas Dr. and Mrs. Giles Leslie Vick Dean Walker Dr. and Mrs. J. Anthony Walter III Barbara and Howard Weiner Mr. Gary Whitney Mary Anne Wilkinson and Bill Samelson The Wolens Family Mrs. Cyvia Wolff Dr. and Mrs. Bruce Wright
Mr. Jas A. Gundry Linda Lloyd Hart Ms. Karen J. Hartnett Nancy Ferguson Haywood Dr. Lamar and Jane Jackson Charitable
Remainder Trust Jesse H. Jones II Barbara and Raymond Kalmans John A. Kendall
We honor the memory of those who included Houston Ballet in their estate plans.
Harriet Bath Audrey Jones Beck Joe Anne Berwick Dorothy Bridgewater Black Raymona Brown Bomar Mary Frances Newton Bowers Suzanne S. Braden Ira B. Brown
Mr. John S.W. Kellett Frederick Adrian Lee Mr. E. Daniel Leightman Elizabeth Martin Harris Masterson III Mr. William McAnear Charles Edward McKerley Dr. Matilda B. Melnick Robert A. Moody Dr. Didier Piot David Glenn Puckett
Lawrence E. Carlton George W. Ernst, Jr.
52 PLAYBILL Frank R. Eyler Linda K. Finger Cora Lee Gott David Haber Mickey Hagey Kevin Harvey
Mrs. Lila Rauch Gloria E. Roberti Mr. Richard H. Stork Anita B. Stude Dorothy B. Thomas
â In memoriam
These generous donations were received before January 1, 2024.
For more information about supporting Houston Ballet through annual membership, please contact Jackie Forrester, Assistant Director of Donor Relations, at 713.535.3275 or jforrester@houstonballet.org
For more information about The Arabesque Society, please contact Angie Lane, Chief Development Officer at 713.535.3276 or alane@houstonballet.org
HOUSTON BALLET
29
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https://www.stuckinabook.com/old-books-rare-friends-by-leona/
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Old Books, Rare Friends by Leona Rostenberg & Madeleine Stern
|
http://www.stuckinabook.com/wp-content/uploads/2015/02/Old-Books-Rare-Friends.jpg
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http://www.stuckinabook.com/wp-content/uploads/2015/02/Old-Books-Rare-Friends.jpg
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2015-02-19T22:29:00+00:00
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You know what it’s like with book reviews on Stuck-in-a-Book – they’re like buses; you wait a month for one, and then three come along at once. (If you’ve ever waited a mont…
|
en
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Stuck in a Book
|
https://www.stuckinabook.com/old-books-rare-friends-by-leona/
|
You know what it’s like with book reviews on Stuck-in-a-Book – they’re like buses; you wait a month for one, and then three come along at once. (If you’ve ever waited a month for a bus, then – please – just give up and get a taxi.) In the weekend last year where I coincidentally read a bunch of books I bought in America, one of them had the enticing title Old Books, Rare Friends: Two Literary Sleuths and Their Shared Passion (1997) by Leona Rostenberg and Madeleine Stern. (Who first told me about this? Was it YOU?)
I’m not the sort of man to walk away from a book about loving books, particularly one penned by older women, and so I was excited to read this. But it was quite a while ago, so I’m going to review this one in bullet points… let’s call it an experiment.
Leona and Madeleine take it in turns to narrate chapters, starting with their childhoods (perhaps unsurprisingly) and through the schooling and college education.
The main point of interest here is that one of them was refused her doctorate, mostly because her supervisor disagreed with her argument. (That is NOT acceptable supervising.)
I could never really tell Leona and Madeleine apart from their writing styles, so their lives intertwined for me.
They set up a rare books business together, buying and selling, and this is where my interest was piqued.
They make catalogues! I could read about the preparation of catalogues forever.
They’re only interested in very old books, so my love of 20th-century literature was never really satisfied. But, oh well.
And they discovered sensation magazine stories that Louisa M. Alcott had written under a pseudonym – which led to a minor sort of literary fame for them.
I really enjoyed it! Reading about the books business, particularly in a time before the internet made book hunting both easier and less filled with surprises is always fun.
Here is my caveat (for which I have slipped out of bullet points). I love reading about readers; about people who hunt for books because they are desperate to read them. Rostenberg and Stern hunt for books for a living, and so (naturally enough) are concerned more with profit than anything else. Still, I couldn’t help weary a little at the number of times they said how much they’d paid for something and how much they’d sold it for – particularly on the occasions when that effectively meant diddling a seller out of money, because the seller had sold a book for less than it was worth. Which made it rather a surprise to come across this paragraph in the epilogue:
We have become keen observers of the generations who have succeeded us. Every age is critical of the next, and we are no exceptions. Although we admire and befriend many young dealers who do not confuse value with price, we deplore the all too popular conception entertained by many dealers that books are to be regarded primarily as investments. Such booksellers go in for dollarship, not scholarship.
I wonder how they think they differ from this? Perhaps as bibliophiles, albeit bibliophiles who get money from their love, rather than simply gratification.
But, this quibble aside, I found it fascinating and fun. It’s not up there with Phantoms on the Bookshelves or Howards End is on the Landing – the works of true booklovers, and lovers of 20th-century fiction into the bargain – and it’s not quite the book that I thought it would be, but Old Books, Rare Friends will still retain its place on my books-about-books bookshelf.
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https://alchetron.com/Simone-Kennedy
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en
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Alchetron, The Free Social Encyclopedia
|
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[
""
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2017-08-18T08:30:48+00:00
|
Simone Kennedy (born 4 January 1994) is an Englishborn Australian cyclist. She represented Australia at the 2012 Summer Paralympics and won a silver medal in the individual pursuit C13. She represented Australia at the 2016 Rio Paralympics. Kennedy was born on 4 January 1994 in London, England. Sh
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/favicon.ico
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Alchetron.com
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https://alchetron.com/Simone-Kennedy
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Personal
Kennedy was born on 4 January 1994 in London, England. She has cerebral palsy which affects the left side of her body . She attended Tara Anglican School for Girls and she credits the teachers at the school in encouraging her to become involved in disability sport. In 2016, she is studying a Bachelor of Sports Coaching and Administration at the Australian College of Physical Education in Sydney.
Cycling
Kennedy is a C3 classified cyclist. She is a member of the Parramatta Cycling Club and coached by Bradley McGee.
Kennedy started cycling when she was a fifteen-year-old. In 2012, she participated her first major international competition when she cycled in the UCI Para-cycling Track World Championships in Los Angeles, where she finished first in the C3 500-metre time trial and 3-kilometre individual pursuit. She was selected to represent Australia at the 2012 Summer Paralympics in cycling's 3 km pursuit, the 500m time trial and two road roads. In the lead up to the Paralympics, she participated in the Blenheim Palace festival of cycling time trial event.
At the 2014 UCI Para-cycling Track World Championships in Aguascalientes in Mexico, she won bronze medals in the Women's 3 km Individual Pursuit C3 and Women's 500m Time Trial C3.
Kennedy repeated her 2014 medal results at the 2015 UCI Para-cycling Track World Championships in Appledorn in Netherlands by winning bronze medals in the Women's 500m Time Trial C3 and Women's 3 km Individual Pursuit C3.
At the 2015 UCI Para-cycling Road World Championships Nottwil, Switzerland, she won a bronze medals in the Women's Time Trial C3. and Women's Road Race C3.
At the 2016 Rio Paralympics, she competed in four events. Her best results were eight in the Women's individual pursuit C1-3 and Women's road race C1-3.
Kennedy won the gold medal in the Women's 3km Individual Pursuit at the 2017 UCI Para-cycling Track World Championships, Los Angeles, United States.
At the 2017 UCI Para-cycling Road World Championships, Pietermaritzburg, South Africa, she finished fifth in the Women's Time Trial C3 and fifth in the Women's Road Race C1-3. In 2016, she is a New South Wales Institute of Sport scholarship holder.
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http://caligraph.org/resource/Simone_Kennedy-Doornbos
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en
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Simone Kennedy
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http://caligraph.org/resources/icon/caligraph_icon_whitering.ico
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http://caligraph.org/resources/icon/caligraph_icon_whitering.ico
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CaLiGraph is a large-scale semantic knowledge graph with a rich ontology which is compiled from the DBpedia ontology, and Wikipedia categories & list pages. View all the information about 'Simone Kennedy-Doornbos' that is contained in the knowledge graph.
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CaLiGraph is created and provided by the Data and Web Science Group, University of Mannheim.
For questions and other matters, feel free to contact us.
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5407
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dbpedia
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3
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https://www.wikidata.org/wiki/Q2108154
|
en
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James Kennedy
|
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American historian, born 1963
|
en
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/static/apple-touch/wikidata.png
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https://www.wikidata.org/wiki/Q2108154
|
American historian, born 1963
James Carleton Kennedy
edit
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https://www.npr.org/2017/12/02/567914608/prediction
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en
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Prediction
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2017-12-02T00:00:00
|
Our panelists predict what will be Prince Harry and Megan Markle's favorite wedding present.
|
en
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NPR
|
https://www.npr.org/2017/12/02/567914608/prediction
|
PETER SAGAL, HOST:
In just a minute, we're going to ask our panelists to predict what will be Prince Harry and Meghan Markle's favorite wedding present.
But first, let me tell you that support for NPR comes from NPR stations and Lumber Liquidators, a proud sponsor of NPR, offering more than 400 styles, including hardwood, bamboo, laminate and vinyl, with flooring specialists in hundreds of stores nationwide. More at lumberliquidators.com or 1-800-HARDWOOD.
Progressive Insurance - offering a way to buy home insurance with their home quote explorer tool. Custom quotes and rates are available online. Learn more at progressive.com or 1-800-PROGRESSIVE. Now that's Progressive.
And Fidelity Investments - taking a personalized approach to helping clients grow, preserve and manage their wealth. Learn more at fidelity.com/wealth - Fidelity Brokerage, LLC. WAIT
WAIT... DON'T TELL ME is a production of NPR and WBEZ Chicago in association with Urgent Haircut Productions. Doug Berman, benevolent overlord. Philipp Goedicke writes our limericks. Our interns are Katie O'Reilly and Gianna Capadona. Our Web guru is Beth Novey. Special thanks to the crew at the Moore Theatre in Seattle. BJ Leiderman composed our theme. Our program is produced by Jennifer Mills and Miles Doornbos. Technical direction is from Lorna White. Our CFO - that's Colin Miller. Public address announcer - that's Paul Friedman. Our production coordinator is Robert Neuhaus. Our senior producer is Ian Chillag. And the executive producer of WAIT WAIT...DON'T TELL ME is Mr. Michael Danforth.
Now, panel, what will be the prince and Meghan's favorite gift when they get married next year?
Luke Burbank.
LUKE BURBANK: A Tesla from Mr. Tesla himself...
(LAUGHTER)
BURBANK: ...With 27 cupholders.
(LAUGHTER)
SAGAL: Negin Farsad.
NEGIN FARSAD: (Imitating British accent) A roasting chicken that will rotate on a spit forever.
(LAUGHTER)
SAGAL: How romantic. And Hari Kondabolu.
HARI KONDABOLU: The people of the U.S. will be giving back America to the U.K.
(LAUGHTER)
KONDABOLU: We'll pay the tea tax. Just get us out of this mess.
BURBANK: Yes.
(APPLAUSE)
BILL KURTIS: Well, if any of that happens, we'll ask you about it on WAIT WAIT... DON'T TELL ME.
SAGAL: Thank you, Bill Kurtis. Thanks also also to Negin Farsad, Hari Kondabolu and Luke Burbank. Thanks to Arvid Hokanson and everyone at KUOW in Seattle. Thanks to our fabulous audience...
(APPLAUSE)
SAGAL: ...Here at the Moore Theatre in gritty downtown Seattle, Wash. Thanks to all of you for listening. I'm Peter Sagal. We'll be back with you next week.
Copyright © 2017 NPR. All rights reserved. Visit our website terms of use and permissions pages at www.npr.org for further information.
NPR transcripts are created on a rush deadline by an NPR contractor. This text may not be in its final form and may be updated or revised in the future. Accuracy and availability may vary. The authoritative record of NPR’s programming is the audio record.
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https://www.ask-oracle.com/city/kampen-overijssel-netherlands/
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Kampen, Overijssel, Netherlands
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2012-01-31T06:02:43+00:00
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Kampen,Кампен
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en
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Ask Oracle
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https://www.ask-oracle.com/city/kampen-overijssel-netherlands/
|
Kampen, located in Overijssel, Netherlands, is a charming Hanseatic city situated at the confluence of the IJssel and Vecht rivers. Its rich history, dating back to the 12th century, is evident in its well-preserved medieval streets, historic churches, and iconic city gates. The city experiences a temperate climate, with mild winters and warm summers.
Geographic Data for Kampen, Overijssel, Netherlands
Latitude 52° 33.300' Longitude 5° 54.667' Timezone Europe/Amsterdam
Numerology for Kampen, Overijssel, Netherlands
Chaldean Name Number : 25 => 7
Pythagorean Name Number : 6
Kampen might be an ideal location for individuals whose birth number or life path numbers align with the values shown above.
Famous Persons from Kampen, Overijssel, Netherlands
Tom van der Weerd - Born on April 23, 1995 - Radio DJ
Marissa Grasdijk - Born on November 19, 1993 - Singer
Anne Appelo - Born on September 1, 1991 - Television presenter, Singer, and Actor
Bianca Roosenboom - Born on August 1, 1989 - Inline speed skater, and Speed skater
Mark Ridderhof - Born on April 25, 1989 - Basketball player
Thomas Koelewijn - Born on December 18, 1988 - Volleyball player
Roy van den Berg - Born on September 8, 1988 - Track cyclist - Knight of the Order of Orange-Nassau
Henrico Drost - Born on January 21, 1987 - Association football player
Jeroen Drost - Born on January 21, 1987 - Association football player
Dirjanne van Drongelen - Born on July 15, 1986 - Coordinator, and Politician
Oğuzhan Türk - Born on May 17, 1986 - Association football player
Erik Rotman - Born on January 20, 1986 - Association football player
Gerben Last - Born on October 19, 1985 - Table tennis player - Paralympic bronze medal | Paralympic silver medal | Paralympic gold medal
Willy Kanis - Born on July 27, 1984 - Track cyclist, Bobsledder, and Sport cyclist
Kristian Westerveld - Born on December 11, 1983 - Association football player
Eef Haaze - Born on August 11, 1982 - Kayaker
Kinga Bán - Born on July 27, 1981 - Singer (died: May 6, 2019)
Rikko Voorberg - Born on December 9, 1980 - Christian minister, Theologian, and Columnist
Stef Ekkel - Born on August 9, 1980 - Singer
Cem Ulucan - Born on November 18, 1979 - Video artist
Duncan van Moll - Born on October 30, 1979 - Association football player
Hilde Palland - Born on September 13, 1979 - Politician - Knight of the Order of Orange-Nassau
Marcel Visscher - Born on December 5, 1977 - Actor
Robert de Wilde - Born on April 30, 1977 - Sport cyclist
Pieter Jouke - Born on December 4, 1973 - Cabaret performer, Presenter, and Television presenter
Gerald van den Belt - Born on August 24, 1972 - Association football player
Jaap Stam - Born on July 17, 1972 - Association football player, and Association football coach
Henry van der Vegt - Born on February 18, 1972 - Association football player
Simone Kennedy-Doornbos - Born on December 19, 1970 - Travel agent, Biologist, Translator, and Politician
Jasja Nottelman - Born on February 8, 1970 -
Petra van Staveren - Born on June 2, 1966 - Swimmer - Knight of the Order of Orange-Nassau
Dick Tuinder - Born on December 28, 1963 - Video artist, Visual artist, Film director, and Screenwriter
Ine van der Sluis - Born on June 14, 1960 - Ceramicist
Aleid Wolfsen - Born on February 23, 1960 - Politician, and Judge
Julius Visser - Born on November 16, 1959 - Photographer
Jan Koster - Born on April 12, 1959 - Photographer
Annemarie Timmer - Born on June 17, 1950 - Textile artist, and Jewelry designer
Wim van der Kant - Born on February 27, 1949 - Sculptor
Cora Tamarinof - Born on January 12, 1949 - Artist
Jannie van den Hul-Omta - Born on October 8, 1948 - Politician
Hilbrand Nawijn - Born on August 8, 1948 - Singer, Politician, and Lawyer
Henk Meutgeert - Born on December 12, 1947 - Music arranger, Bandleader, Pianist, and Composer - Knight of the Order of the Netherlands Lion | Paul Acket Award
Klaas Zwanepol - Born on December 7, 1947 - University teacher (died: June 30, 2018)
Jan Lieftink - Born on November 21, 1947 - Association football player
Eduard Wind - Born on August 24, 1947 - Sculptor
Bouke van der Kooij - Born on June 20, 1947 - University teacher, Politician, and Engineer
Johan Meijering - Born on March 19, 1947 - Art collector
Johan van Ekkel - Born on November 4, 1946 - Pastellist, Textile artist, Drawer, Sculptor, Painter, and Illustrator
Peter Fekkes - Born on March 6, 1946 - Graphic artist, and Painter
Henk Kiel - Born on September 23, 1944 - Association football player (died: March 11, 2012)
Tim Beekman - Born on January 16, 1941 - Film actor, and Actor (died: June 11, 2006)
Theo van Dijk - Born on December 17, 1940 - Carillonist, and Organist
Albert Blankert - Born on June 16, 1940 - Art historian (died: November 22, 2022)
Joop Koopmans - Born on September 1, 1939 - Non-fiction writer, Author, and Catholic priest (died: June 3, 2011)
Gerrit van Dijk - Born on August 14, 1939 - University teacher, and Mathematician (died: January 1, 2022)
Gijsbertus Mulder - Born on July 31, 1938 - University teacher (died: December 12, 1999)
Hendrik Tennekes - Born on December 13, 1936 - Meteorologist (died: July 3, 2021)
Uipko Berghuis - Born on December 18, 1935 - Photographer
Jo Esenkbrink - Born on December 6, 1933 - Sculptor (died: August 23, 1995)
Jan van Dijk - Born on May 15, 1933 - Sculptor
Cathy Ubels - Born on October 28, 1928 - Politician (died: February 17, 2015)
Theodora Jacoba Roest van Limburg - Born on June 21, 1924 - Businessperson (died: November 15, 1997)
Sybren Polet - Born on June 19, 1924 - Poet, and Writer - Herman Gorterprijs | Poetry Prize of the Municipality of Amsterdam | Busken Huet award | Dirk Martensprijs | Jan Campert Prize for poetry | Constantijn Huygens Prize (died: July 19, 2015)
Willem G. van Maanen - Born on September 30, 1920 - Journalist, Resistance fighter, and Writer - Prose prize of the City of Amsterdam | Lucy B. en C.W. van der Hoogt award | Ferdinand Bordewijk Prize | Charlotte Köhler Prize for literature | Multatuli Award | Constantijn Huygens Prize (died: August 17, 2012)
Jack Dudok van Heel - Born on September 22, 1920 - Photographer
Jan Hulsman - Born on August 27, 1919 - Military personnel - Resistance Star East Asia | Decoration for Long, Honest and Loyal Service | Oorlogsherinneringskruis (died: November 29, 1976)
Jan Izaak Samuel Zonneveld - Born on August 31, 1918 - University teacher, Geographer, and Geologist (died: June 3, 1995)
Fokko Siebold Eringa - Born on April 16, 1918 - University teacher (died: May 5, 1983)
Hendrik Jonker - Born on March 28, 1917 - University teacher (died: October 9, 1990)
Wolter Netjes - Born on September 23, 1916 - Politician - Knight of the Order of Orange-Nassau (died: November 22, 2000)
Nelletje Bannink - Born on July 18, 1916 - Salvation Army officer (died: May 1, 1997)
Batavus Westerhuis - Born on December 7, 1915 - Watercolorist, Painter, and Architect (died: July 7, 2002)
Henk Steenbeek - Born on October 17, 1915 - Resistance fighter (died: January 12, 1989)
Berend IJzerman - Born on January 14, 1911 - Resistance fighter (died: March 31, 1945)
Gerard Hengeveld - Born on December 7, 1910 - Pianist, and Composer - ANV -Visser Neerlandia-price for Music | Knight of the Order of Orange-Nassau (died: October 28, 2001)
Jetze Gerben Alberda - Born on October 6, 1910 - Military officer (died: September 18, 1944)
Cornelis de Kock - Born on November 22, 1908 - Resistance fighter, and Politician (died: September 18, 1944)
Hilbert van Dijk - Born on June 21, 1908 - Resistance fighter (died: July 16, 1944)
Pieter Jan Zuidema - Born on August 4, 1907 - University teacher (died: January 1, 1996)
Greta Leibowitz - Born on April 27, 1907 - Translator, Mathematician, and Teacher (died: March 11, 2001)
Gerrit Jan Held - Born on July 1, 1906 - Anthropologist, and University teacher (died: September 28, 1955)
Sytse Ulbe Zuidema - Born on April 22, 1906 - Philosopher, and University teacher (died: September 28, 1975)
Margaretha Brongersma-Sanders - Born on February 20, 1905 - Chemist (died: June 3, 1996)
Hens van der Spoel - Born on October 8, 1904 - Painter - Prijs van de Stichting Kunstenaarsverzet (died: July 7, 1987)
Adriaan Schuurman - Born on July 28, 1904 - Organist, and Composer (died: August 24, 1998)
Jacob van de Kamp - Born on June 5, 1904 - Chemist (died: November 22, 1973)
Wim Abeleven - Born on May 2, 1903 - Theatrical director, and Writer (died: August 18, 1967)
Places near Kampen, Overijssel, Netherlands
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Scorecard: By the numbers
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2009-08-28T00:00:00
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American Association North Division W L Pct. GBx-Wichita 26 20 .565 —Lincoln 25 21 .543 1SAINTS 24 21 .533 1 1/2Sioux Falls 19 27 .413 7Sioux City 17 28 .378 8 1/2South Division W L Pct. GB Pensacola 28 18 .609 —Shreveport-Bossier 25 21 .543 3x-Fort Worth 23 23 .500 5Grand Prairie 23 23 .500 […]
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https://www.twincities.com/2009/08/28/scorecard-by-the-numbers-1055/
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American Association
North Division W L Pct. GB
x-Wichita 26 20 .565 —
Lincoln 25 21 .543 1
SAINTS 24 21 .533 1 1/2
Sioux Falls 19 27 .413 7
Sioux City 17 28 .378 8 1/2
South Division W L Pct. GB
Pensacola 28 18 .609 —
Shreveport-Bossier 25 21 .543 3
x-Fort Worth 23 23 .500 5
Grand Prairie 23 23 .500 5
El Paso 19 27 .413 9
x-won first-half title
Friday’s results
Sioux City at SAINTS, 7:05 p.m.
Pensacola 8, Shreveport-Bossier 3
Wichita 3, Grand Prairie 0, 8 inn.
Sioux Falls 13, Lincoln 10
Fort Worth 10, El Paso 4
Thursday’s results
SAINTS 9, Sioux City 3
Shreveport-Bossier 8, Pensacola 7
Sioux Falls 2, Lincoln 1, 10 inn.
El Paso 8, Fort Worth 7
Today’s games
Sioux City at SAINTS, 7:05 p.m.
Shreveport-Bossier at Pensacola, 6:05 p.m.
Grand Prairie at Wichita, 7:05 p.m.
Lincoln at Sioux Falls, 7:05 p.m.
Fort Worth at El Paso, 8:05 p.m.
Sunday’s games
Sioux City at SAINTS, 1:05 p.m.
Lincoln at Sioux Falls, 2:05 p.m.
Grand Prairie at Wichita, 5:05 p.m.
Shreveport-Bossier at Pensacola, 6:05 p.m.
Fort Worth at El Paso, 7:05 p.m.
Amateur
STATE CLASS B TOURNAMENT
At Arlington and Gaylord
Aug. 20 results
Rochester Royals vs. Savage, ppd., rain
Cold Spring 5, Blaine 0
Elko vs. Austin Blue Sox, ppd., rain
Sauk Rapids 5, Bemidji 0
Aug. 21 results
Shakopee 4, Hutchinson 2
Miesville 6, Marshall 3
Prior Lake 7, Plato 1
Hastings 7, Mankato Twins 3
Aug. 22 results
Savage 2, Rochester Royals 1
Elko 2, Austin Blue Sox 1
Today’s games
G9: Savage vs. Cold Spring at Arlington, 5 p.m.
G10: Shakopee vs. Miesville at Gaylord, 5 p.m.
G11: Elko vs. Sauk Rapids at Arlington, 7:30 p.m.
G12: Prior Lake vs. Hastings at Gaylord, 7:30 p.m.
Sunday’s games
G13: W9 vs. W10 at Arlington, 5 p.m.
G14: L11 vs. L12 at Gaylord, 5 p.m.
G15: L9 vs. L10 at Arlington, 7:30 p.m.
G16: W11 vs. W12 at Gaylord, 7:30 p.m.
Sept. 5 games at Gaylord
G17: W15 vs. L16, 1 p.m.
G18: L13 vs. W14, 3:30 p.m.
G19: W13 vs. W16, 6 p.m.
Sept. 6 games at Gaylord
G20: W17 vs. W18, 1 p.m.
G21: W20 vs. L19, 3:30 p.m.
Sept. 7 games at Arlington
G22 (championship): W19 vs. W21, 1 p.m. (G23 if necessary at 3:30 p.m.)
STATE CLASS C TOURNAMENT
At Arlington and Gaylord
Aug. 22 results
Windom 1, Moorhead Miners 0
Lamberton 2, Sacred Heart 0
Moorhead Brewers 6, Wilmont 2
Hanska 9, Milroy 6
Watkins 5, Princeton 1
Winsted 10, Lonsdale 1
Forest Lake 4, Howard Lake 1, 11 inn.
Blue Earth 7, Glencoe 1
Aug. 23 results
St. Martin 4, Bertha 2
Hampton 1, Fort Ripley 0
Elrosa 6, Carlos 0
Cannon Falls 2, Brainerd 1
Arlington 3, Owatonna 0
St. Cloud Orthopedic 10, Brandon-Evansville 0, 7 inn.
Loretto 4, Stewartville-Racine 1
St. Cloud Snappers 2, Midway 1
Friday’s results
Lamberton 3, Windom 1
Winsted 1, Watkins 0
G19: Moorhead Brewers vs. Hanska at Gaylord, 8:30 p.m.
Blue Earth 4, Forest Lake 0
Today’s games
G21: St. Martin vs. Hampton at Gaylord, 11 a.m.
G22: Arlington vs. St. Cloud Orthopedic at Arlington, 11 a.m.
G23: Elrosa vs. Cannon Falls at Gaylord, 1:30 p.m.
G24: Loretto vs. St. Cloud Snappers at Arlington, 1:30 p.m.
Sunday’s games
G25: Lamberton vs. Winsted at Gaylord, 11 a.m.
G26: W21 vs. W22 at Arlington, 11 a.m.
G27: W19 vs. Blue Earth at Gaylord, 1:30 p.m.
G28: W23 vs. W24 at Arlington, 1:30 p.m.
Sept. 4 games
G29: L25 vs. L26 at Gaylord, 6 p.m.
G30: W27 vs. W28 at Arlington, 6 p.m.
G31: W25 vs. W26 at Gaylord, 8:30 p.m.
G32: L27 vs. L28 at Arlington, 8:30 p.m.
Sept. 5 games at Arlington
G33: L30 vs. W29, 1 p.m.
G34: L31 vs. W32, 3:30 p.m.
G35: W31 vs. W30, 6 p.m.
Sept. 6 games at Arlington
G36: W33 vs. W34, 1 p.m.
G37: W36 vs. L35, 3:30 p.m.
Sept. 7 games at Gaylord
G38: (championship): W35 vs. W37, 11 a.m. (G39 if necessary at 1:30 p.m.)
Colleges
Women’s soccer
NONCONFERENCE
Concordia-St. Paul 1, Wis.-Parkside 1, tie
MSU-Mankato 6, Ferris State 0
South Dakota State 1, Iowa State 1, tie
Volleyball
NONCONFERENCE
Concordia-St. Paul def. West Florida, 25-10, 25-15, 25-14
GOPHERS def. Kansas State 25-19, 25-16, 29-31, 24-26, 15-11
Idaho State def. South Dakota State, 22-25, 25-19, 25-18, 25-16
MSU-Mankato def. Tarleton State, 26-28, 25-14, 25-12, 25-8
MSU-Mankato def. Truman State, 25-18, 21-25, 25-14, 25-14
North Dakota State def. Central Michigan, 25-23, 25-19, 25-18
North Dakota State def. Florida AM, 25-9, 25-10, 26-24
Northern Michigan def. St. Cloud State, 25-14, 25-14, 18-25, 22-25, 15-12
Northern State def. Augustana, 25-17, 15-25, 17-25, 25-16, 15-11
Regis def. Northern State, 25-22, 21-25, 25-16, 18-25, 15-9
Southwest Minnesota State def. Missouri Western State, 25-12, 18-25, 25-19, 25-16
Southwest Minnesota State def. Chadron State, 25-10, 25-13, 18-25, 25-19
Wyoming def. South Dakota State, 25-16, 23-25, 26-24, 25-20
High schools
Football
WISCONSIN
Algoma 20, Hilbert 6
Almond-Bancroft 38, Menominee Indian 6
Amery 48, Barron 16
Arcadia 33, Independence/Gilmanton 0
Athens 18, Owen-Withee 0
Augusta 8, Greenwood 0
Baldwin-Woodville 20, Hayward 19
Baraboo 35, Oregon 0
Belleville/Albany 39, Edgerton 7
Birchwood/Weyerhaeuser 66, Winter 0
Black River Falls 44, Sparta 7
Bloomer 35, Colfax 6
Boyceville 50, New Auburn 0
Brillion 33, Sevastopol 0
Brodhead/Juda 40, Mayville 13
Brookfield Academy 42, Madison Abundant Life 15
Brown Deer 36, Watertown Luther Prep 13
Cedar Grove-Belgium 31, Cambridge 6
Cedarburg 35, Kettle Moraine 7
Chetek 14, Cameron 0
Clear Lake 51, Clayton 24
Clintonville 20, Ripon 12
Cochrane-Fountain City 20, Pepin 12
Colby 43, Pittsville 22
Cornell 26, Alma Center Lincoln 6
Crystal Falls Forest Park, Mich. 48, Washburn 0
Delafield St. John’s NW 24, Oshkosh Lourdes 13
Delavan-Darien 37, Whitewater 20
Edgar 39, Chippewa Falls McDonell 0
Elmwood 12, Whitehall 6
Fennimore 42, Dodgeville 6
Flambeau 21, Frederic 0
Fond du Lac Springs 35, Campbellsport 0
Franklin 37, Greenfield 12
Gibraltar 18, Elkhart Lake 6
Gilman 41, Pacelli/Assumption 0
Hartland Arrowhead 28, West Allis Hale 7
Horicon 12, Columbus 0
Hudson 21, Wisconsin Rapids Assumption 13
Hurley 36, Ironwood, Mich. 0
Iola-Scandinavia 22, Wild Rose 14
Ithaca 35, Cashton 6
Kewaskum 34, West Bend East 6
La Crosse Aquinas 26, Nekoosa 0
La Crosse Central 46, Eau Claire Memorial 6
La Crosse Logan 28, Eau Claire North 7
Lake Geneva Badger 21, Mukwonago 16
Lakeside Lutheran 23, East Troy 7
Luck 49, Prairie Farm 21
Manawa Little Wolf 22, Marion 6
Manitowoc 20, Pulaski 19
Maple Northwestern 36, Ashland 7
Marshfield 42, Menomonie 41, OT
Menomonee Falls 42, Oconomowoc 7
Mequon Homestead 28, Schofield D.C. Everest 10
Merrill 35, Wausau East 15
Milwaukee Bay View 62, Milwaukee Marshall/Languages 6
Milwaukee Bradley Tech 56, Milwaukee Pulaski 0
Milwaukee Heritage Christian 34, Williams Bay 0
Milwaukee Marquette 44, Wisconsin Lutheran 17
Milwaukee University School 34, Whitefish Bay Dominican 24
Milwaukee Vincent 24, Milwaukee Madison 10
Mondovi 28, Prescott 6
Mosinee 7, Mauston 0
Neillsville 14, Fall Creek 12
New Berlin Eisenhower 27, New Berlin West 6
New Glarus/Monticello 26, Iowa-Grant 7
North Fond du Lac 40, Deerfield 18
Northwood/Solon Springs 44, Siren 0
Oakfield 34, Hustisford 14
Onalaska 19, Kenosha Tremper 8
Oostburg 14, Mishicot 0
Osceola 26, St. Croix Falls 19
Osseo-Fairchild 34, Spencer/Marshfield Columbus 13
Pewaukee 40, Nicolet 0
Phillips 28, Auburndale 14
Plainfield Tri-County 30, Weston 6
Port Washington 15, Muskego 14
Poynette 41, Howards Grove 27
Racine Lutheran 6, Rockford Lutheran, Ill. 0
Racine Park 42, Milwaukee South 0
Rice Lake 14, Medford 13
River Valley 28, Wisconsin Heights 13
Sheboygan Falls 6, Elkhorn 0
Somerset 46, Ladysmith 14
South Milwaukee 22, Cudahy 21
Spooner 35, Grantsburg 16
St. Croix Central 21, Ellsworth 6
St. Thomas Aquinas/Lena 41, Crandon 0
Stanley-Boyd 36, Altoona 7
Stevens Point 35, Superior 14
Thorp 27, Loyal 8
Verona 49, Madison La Follette 0
Walworth Big Foot 48, Harvard, Ill. 7
Waunakee 41, Fort Atkinson 0
Wausau Newman 14, Abbotsford 6
Wausau West 10, Antigo 0
Wauwatosa West 46, Milwaukee North 20
West Allis Central 17, Waukesha Catholic Memorial 14
West Iron County, Mich. 33, Florence 7
Westosha Central 24, Round Lake, Ill. 0
Whitnall 22, Milwaukee Pius 20
Postponements and cancellations
Menominee, Mich. vs. Wrightstown, ppd. to today
Boys soccer
TRI-METRO
Mounds Park Academy 5, Delano 1
NONCONFERENCE
Benilde-St. Margaret’s 3, Duluth Marshall 1
Chisago Lakes 3, Grand Rapids 1
Fridley 1, New Life Academy (Woodbury) 0
Hopkins 4, Park Center 1
Mahtomedi 3, Irondale 1
Park (Cottage Grove) 2, North St. Paul 0
St. Louis Park 1, Buffalo 0
Thursday’s result
MINNESOTA CUP
Stillwater 1, Central 1, tie (Stillwater wins shootout 4-2)
Girls soccer
NONCONFERENCE
Anoka 6, Moorhead 0
Centennial 1, Park (Cottage Grove) 0
Edina 7, Holy Family Catholic 0
Minnehaha Academy 1, Holy Angels 0
Providence Academy 2, DeLaSalle 0
St. Croix Lutheran 3, Bethany Academy 0
Visitation 3 Crookston 1
MINNESOTA
Rochester Century 2, Rochester Lourdes 1
Thursday’s result
NONCONFERENCE
St. Croix Lutheran 14, Watertown-Mayer 0
Girls swimming
NONCONFERENCE
Lakeville North 94, Austin 82
Lakeville South 95, Austin 88
Girls tennis
NONCONFERENCE
Benilde-St. Margaret’s 6, Minneapolis South 1
Blaine 6, Fridley 1
Mounds Park Academy 6, Holy Angels 1
Roseville 6, North St. Paul 1
South St. Paul 6, Bloomington Kennedy 1
FOREST LAKE TRIANGULAR
Forest Lake 4, Andover 3
Andover 6, Chisago Lakes 1
Forest Lake 7, Chisago Lakes 0
Volleyball
MINNEAPOLIS CITY
Henry def. Roosevelt, 25-21, 25-20, 25-22
Washburn def. Edison, 25-19, 25-16, 23-25, 27-25
NONCONFERENCE
Anoka def. Chisago Lakes, 25-13, 25-23, 25-27, 25-15
New Prague def. Minnetonka, 25-23, 25-17, 22-25, 19-25, 15-10
North Branch def. Princeton, 25-20, 25-17, 22-25, 25-16
Red Wing def. Goodhue, 22-25, 22-25, 25-11, 34-32, 15-10
MINNESOTA
Bemidji def. Perham, 25-12, 25-18, 25-10
Grand Rapids def. Cloquet, 25-19, 25-18, 25-14
Holy Family Catholic def. Central Minnesota Christian, 25-20, 25-15, 25-23
Lewiston-Altura def. Rushford-Peterson, 25-23, 26-24, 25-19
Litchfield def. Howard Lake-Waverly-Winsted, 17-25, 25-13, 25-21, 20-25, 15-12
MACCRAY def. Yellow Medicine East, 25-23, 25-22, 25-16
Moorhead def. Monticello, 25-23, 25-11, 25-21
Rochester Mayo def. Mankato East, 25-17, 25-14, 20-25, 25-22
Tracy-Milroy-Balaton def. Westbrook-Walnut Grove, 25-20, 25-23, 25-19
Worthington def. Fulda, 25-16, 25-20, 25-13
Basketball
WNBA
WESTERN CONFERENCE
W L Pct GB
Phoenix 19 9 .679 —
Seattle 17 11 .607 2
Los Angeles 14 14 .500 5
LYNX 12 16 .429 7
San Antonio 11 17 .393 8
Sacramento 9 20 .310 10 1/2
EASTERN CONFERENCE
W L Pct GB
Indiana 20 7 .741 —
Atlanta 15 13 .536 5 1/2
Connecticut 14 14 .500 6 1/2
Chicago 14 15 .483 7
Detroit 13 14 .481 7
Washington 13 15 .464 7 1/2
New York 11 17 .393 9 1/2
Friday’s results
LYNX 100, Sacramento 95
Chicago 96, New York 77
Thursday’s results
Indiana 77, San Antonio 66
Detroit 87, Atlanta 83
Seattle 86, Connecticut 74
Phoenix 98, Los Angeles 90
Saturday’s games
Detroit at San Antonio, 2 p.m.
Sacramento at Indiana, 6 p.m.
Atlanta at Seattle, 9 p.m.
Connecticut at Phoenix, 9 p.m.
Sunday’s games
LYNX at Washington, 3 p.m.
Chicago at New York, 3 p.m.
Connecticut at Los Angeles, 8:30 p.m.
Sacramento 30 20 20 25 — 95 Minnesota 33 31 18 18 — 100
SACRAMENTO FG FT Reb
Min M-A M-A O-T A PF Pts
Powell 36:28 6-16 4-4 0-5 6 3 18
Walker 22:51 7-10 2-4 0-3 2 4 16
Brunson 36:35 7-12 1-1 3-9 1 3 15
Robinson 17:54 3-4 4-5 0-1 2 4 10
Penicheiro 13:44 0-2 0-0 0-2 4 1 0
Maiga 22:32 9-11 2-2 1-2 3 5 20
Haynie 26:47 2-8 3-3 2-2 4 1 7
Paris 7:12 1-2 0-0 1-2 1 2 2
Harper 13:22 1-1 5-6 1-5 0 0 7
Willis 2:35 0-0 0-0 0-0 0 1 0
Totals 200:00 36-66 21-25 8-31 23 24 95
Percentages: FG .545, FT .840. Three-pointers: 2-11, .182 (Powell 2-9, Haynie 0-2). Team rebounds: 7. Team turnovers: 17 (21 points). Blocked shots: 4 (Harper 2, Brunson, Penicheiro). Turnovers: 15 (Powell 4, Walker 4, Brunson 3, Haynie 3, Willis). Steals: 13 (Haynie 4, Maiga 4, Harper 3, Brunson 2). Technical Fouls: None.
MINNESOTA FG FT Reb
Min M-A M-A O-T A PF Pts
Hodges 34:15 5-12 2-2 0-2 4 2 17
Houston 19:27 1-5 0-0 0-4 3 3 2
Anosike 30:57 5-9 7-9 2-6 5 4 17
Wiggins 24:33 3-9 4-4 1-2 2 3 12
Miller 23:06 7-8 0-0 1-2 3 1 18
McCants 14:21 2-3 0-0 0-1 3 2 4
Montanana 4:05 0-0 0-0 0-0 1 1 0
Montgomery 19:40 5-8 2-2 0-2 2 0 14
Humphrey 20:33 3-7 3-4 0-3 1 3 12
Hollingsworth 9:03 2-2 0-0 0-0 0 2 4
Totals 200:00 33-63 18-21 4-22 24 21 100
Percentages: FG .524, FT .857. Three-pointers: 16-28, .571 (Hodges 5-8, Miller 4-4, Humphrey 3-6, Montgomery 2-4, Wiggins 2-5, Houston 0-1). Team rebounds: 7. Team turnovers: 16 (24 points). Blocked shots: 1 (Montgomery). Turnovers: 15 (McCants 3, Miller 3, Wiggins 3, Hodges 2, Montgomery 2, Hollingsworth, Montanana). Steals: 6 (Anosike 2, Hodges, Houston, Miller, Wiggins). Technical Fouls: None.
Tickets sold—8,782 (12,600). T—1:58. Officials—Clarke Stevens, Kurt Walker, Angelica Suffren.
Football
NFL
EXHIBITION STANDINGS
NATIONAL CONFERENCE
North W L T Pct PF PA
VIKINGS 2 0 0 1.000 30 16
Green Bay 2 0 0 1.000 48 21
Chicago 1 1 0 .500 37 30
Detroit 1 1 0 .500 37 53
East W L T Pct PF PA
Dallas 1 1 0 .500 40 41
N.Y. Giants 1 1 0 .500 27 34
Philadelphia 1 2 0 .333 73 82
Washington 1 2 0 .333 41 63
South W L T Pct PF PA
New Orleans 2 0 0 1.000 55 21
Atlanta 1 1 0 .500 46 40
Tampa Bay 1 2 0 .333 50 60
Carolina 0 2 0 .000 34 51
West W L T Pct PF PA
San Francisco 2 0 0 1.000 38 36
Seattle 2 0 0 1.000 47 27
St. Louis 2 1 0 .667 60 61
Arizona 0 2 0 .000 16 37
AMERICAN CONFERENCE
North W L T Pct PF PA
Baltimore 2 0 0 1.000 47 23
Cleveland 1 1 0 .500 27 27
Pittsburgh 1 1 0 .500 33 27
Cincinnati 1 2 0 .333 35 47
East W L T Pct PF PA
Miami 3 0 0 1.000 49 32
New England 2 1 0 .667 60 56
Buffalo 1 2 0 .333 66 72
N.Y. Jets 0 2 0 .000 43 47
South W L T Pct PF PA
Tennessee 2 1 0 .667 58 68
Indianapolis 1 1 0 .500 26 28
Houston 1 1 0 .500 30 48
Jacksonville 0 3 0 .000 65 68
West W L T Pct PF PA
Oakland 1 1 0 .500 51 31
San Diego 1 1 0 .500 31 26
Denver 0 2 0 .000 29 44
Kansas City 0 2 0 .000 23 33
Friday’s results
New England 27, Washington 24
Green Bay at Arizona, 9 p.m.
Thursday’s results
Philadelphia 33, Jacksonville 32
St. Louis 24, Cincinnati 21
Miami 10, Tampa Bay 6
Today’s games
Indianapolis at Detroit, Noon
New Orleans at Oakland, 3 p.m.
Buffalo at Pittsburgh, 6:30 p.m.
Tennessee at Cleveland, 6:30 p.m.
San Diego at Atlanta, 7 p.m.
Baltimore at Carolina, 7 p.m.
N.Y. Jets at N.Y. Giants, 7 p.m.
San Francisco at Dallas, 7 p.m.
Seattle at Kansas City, 7 p.m.
Sunday’s game
Chicago at Denver, 7 p.m.
Monday’s game
VIKINGS at Houston, 7 p.m.
Sept. 3 games
Detroit at Buffalo, 5:30 p.m.
Philadelphia at N.Y. Jets, 6 p.m.
Baltimore at Atlanta, 6:30 p.m.
Indianapolis at Cincinnati, 6:30 p.m.
N.Y. Giants at New England, 6:30 p.m.
Washington at Jacksonville, 6:30 p.m.
Cleveland at Chicago, 7 p.m.
Green Bay at Tennessee, 7 p.m.
Kansas City at St. Louis, 7 p.m.
Miami at New Orleans, 7 p.m.
Pittsburgh at Carolina, 7 p.m.
Arizona at Denver, 8 p.m.
Oakland at Seattle, 9 p.m.
Sept. 4 games
Dallas at VIKINGS, 7 p.m.
Houston at Tampa Bay, 6 p.m.
San Francisco at San Diego, 9 p.m.
End of preseason
Golf
PGA Tour
BARCLAYS
Friday’s second-round results. At Liberty National Golf Club Course, Jersey City, N.J. Purse: $7.5 million. Yardage: 7,419; Par: 71 (36-35)
Webb Simpson 66-68—134
Paul Goydos 65-71—136
Steve Marino 65-71—136
Fredrik Jacobson 66-72—138
Heath Slocum 66-72—138
Ian Poulter 67-72—139
Steve Stricker 69-70—139
Richard S. Johnson 68-71—139
Charley Hoffman 66-74—140
Ernie Els 72-68—140
Sergio Garcia 65-76—141
Matt Kuchar 68-73—141
Nick Watney 68-73—141
Tim Clark 71-70—141
D.A. Points 70-71—141
Rod Pampling 68-73—141
Padraig Harrington 67-75—142
Jim Furyk 69-73—142
Mike Weir 71-71—142
David Toms 67-75—142
Bill Haas 72-70—142
Cameron Beckman 70-72—142
Stewart Cink 70-72—142
Brian Gay 70-72—142
Tiger Woods 70-72—142
Zach Johnson 70-72—142
Luke Donald 73-69—142
Troy Matteson 71-71—142
Lee Janzen 68-75—143
Jason Day 70-73—143
Jeff Overton 72-71—143
Alex Cejka 71-72—143
Robert Allenby 68-75—143
Justin Leonard 68-75—143
Y.E. Yang 71-72—143
Scott Verplank 73-70—143
Bill Lunde 70-73—143
Bo Van Pelt 70-74—144
Dustin Johnson 70-74—144
Retief Goosen 70-74—144
John Rollins 71-73—144
Harrison Frazar 73-71—144
Hunter Mahan 72-72—144
Justin Rose 73-72—145
Phil Mickelson 70-75—145
J.J. Henry 72-73—145
Tim Petrovic 69-76—145
Joe Ogilvie 73-72—145
Todd Hamilton 71-74—145
Boo Weekley 75-70—145
Davis Love III 70-75—145
John Senden 72-73—145
Kevin Na 73-72—145
Kevin Sutherland 69-76—145
Greg Owen 71-74—145
John Mallinger 74-72—146
Charles Howell III 76-70—146
Jerry Kelly 72-74—146
Ryan Moore 68-78—146
Kenny Perry 71-75—146
Charlie Wi 73-73—146
Kevin Streelman 68-78—146
James Nitties 71-75—146
Jonathan Byrd 72-74—146
J.B. Holmes 73-73—146
Anthony Kim 75-71—146
Daniel Chopra 77-69—146
Vaughn Taylor 71-76—147
Adam Scott 75-72—147
Bob Estes 73-74—147
Brett Quigley 70-77—147
Chris Riley 72-75—147
Brandt Snedeker 72-75—147
Ben Crane 74-73—147
Mark Wilson 72-75—147
Chad Campbell 72-75—147
Fred Couples 71-76—147
Failed to qualify
Nathan Green 71-77—148
John Merrick 68-80—148
Bubba Watson 74-74—148
Mark Calcavecchia 69-79—148
George McNeill 72-76—148
Matt Bettencourt 77-71—148
Jason Bohn 74-74—148
K.J. Choi 73-76—149
Stephen Ames 70-79—149
Rory Sabbatini 76-73—149
Bryce Molder 75-74—149
Scott McCarron 76-73—149
Jason Dufner 73-77—150
D.J. Trahan 76-74—150
James Driscoll 74-76—150
Robert Garrigus 75-75—150
Aaron Baddeley 72-78—150
Jeff Maggert 71-79—150
Geoff Ogilvy 73-77—150
Briny Baird 75-75—150
Vijay Singh 75-75—150
Kevin Stadler 76-74—150
Pat Perez 71-80—151
Marc Leishman 74-77—151
Brian Davis 73-78—151
Jeff Klauk 74-77—151
Angel Cabrera 72-80—152
Woody Austin 76-76—152
Tim Herron 76-76—152
Michael Allen 75-77—152
Nick O’Hern 76-77—153
Ted Purdy 75-78—153
David Mathis 79-75—154
Sean O’Hair 77-77—154
Scott Piercy 76-78—154
Ryuji Imada 78-78—156
Lucas Glover 75-81—156
Greg Chalmers 74-82—156
Jeff Quinney 78-78—156
Chris DiMarco 77-80—157
Roland Thatcher 79-79—158
Ben Curtis 75-84—159
Michael Letzig 69—WD
Camilo Villegas 75—WD
Champions Tour
BOEING CLASSIC
Friday’s first-round results. At TPC Snoqualmie Ridge, Snoqualmie, Wash. Purse: $1.8 million. Yardage: 7,192; Par 72 (36-36)
Mark O’Meara 32-34—66
Allen Doyle 34-34—68
Loren Roberts 32-36—68
Mark McNulty 38-30—68
John Jacobs 32-36—68
James Mason 34-35—69
Bruce Vaughan 35-34—69
Dan Forsman 34-35—69
Tom Kite 35-34—69
Bernhard Langer 36-33—69
John Cook 34-35—69
Nick Price 35-34—69
Gil Morgan 36-33—69
Don Pooley 34-35—69
Chip Beck 34-35—69
Joe Ozaki 32-37—69
Russ Cochran 38-32—70
Bob Gilder 35-35—70
Hale Irwin 37-33—70
R.W. Eaks 36-34—70
Craig Stadler 34-36—70
Bruce Lietzke 36-34—70
Fuzzy Zoeller 34-37—71
Morris Hatalsky 36-35—71
John Harris 37-34—71
Mark James 34-37—71
Scott Simpson 35-36—71
Brad Bryant 36-35—71
Hal Sutton 34-37—71
Mike McCullough 35-36—71
Gary Hallberg 34-37—71
Sandy Lyle 38-33—71
Blaine McCallister 35-37—72
Ronnie Black 37-35—72
Bobby Wadkins 35-37—72
Jeff Sluman 36-36—72
Lonnie Nielsen 33-39—72
Fred Funk 34-38—72
Mark Wiebe 36-36—72
Wayne Levi 37-35—72
Robert L. Thompson 35-37—72
Gene Jones 35-38—73
Larry Mize 39-34—73
Jerry Pate 34-39—73
Bruce Fleisher 35-38—73
Jay Don Blake 38-35—73
Tim Simpson 36-37—73
Phil Blackmar 36-37—73
Graham Marsh 36-38—74
Fulton Allem 36-38—74
Andy Bean 36-38—74
Dave Eichelberger 38-36—74
Tom Jenkins 35-39—74
Olin Browne 36-38—74
Tom McKnight 36-38—74
Jeb Stuart 37-37—74
Steve Thomas 33-41—74
Bruce Summerhays 37-38—75
Tom Wargo 38-37—75
Kirk Hanefeld 38-37—75
Lanny Wadkins 39-36—75
David Eger 37-38—75
Jeff Coston 34-41—75
Ben Crenshaw 39-37—76
Jim Thorpe 37-39—76
Denis Watson 37-39—76
Tom Purtzer 38-38—76
Eduardo Romero 37-39—76
John Morse 39-37—76
Isao Aoki 40-37—77
Keith Fergus 38-39—77
Mike Reid 36-41—77
Gary Player 40-37—77
David Edwards 36-41—77
David Ogrin 39-39—78
Mike Goodes 37-42—79
Mike Hulbert 41-38—79
Jim Albus 44-40—84
LPGA Tour
SAFEWAY CLASSIC
Friday’s first-round results. At Pumpkin Ridge GC, Ghost Creek Course, North Plains, Ore. Purse: $1.7 million. Yardage: 6,546; Par 72 (37-35). a-denotes amateur
Beth Bader 34-30—64
Anna Nordqvist 33-32—65
Seon Hwa Lee 34-31—65
Janice Moodie 33-33—66
Stacy Prammanasudh 34-32—66
Angela Stanford 33-33—66
Candie Kung 31-35—66
Ai Miyazato 33-34—67
Michele Redman 34-33—67
Moira Dunn 35-32—67
Jennifer Rosales 35-33—68
Jeong Jang 36-32—68
Suzann Pettersen 36-32—68
Michelle Wie 35-33—68
Natalie Gulbis 35-33—68
Christina Kim 33-35—68
Yani Tseng 34-34—68
Il Mi Chung 35-34—69
Carri Wood 35-34—69
Cristie Kerr 36-33—69
Mika Miyazato 36-33—69
Se Ri Pak 35-34—69
Eva Dahllof 34-35—69
M.J. Hur 36-33—69
Karen Stupples 35-35—70
Paige Mackenzie 34-36—70
Eun-Hee Ji 34-36—70
Helen Alfredsson 38-32—70
Momoko Ueda 35-35—70
Laura Diaz 35-35—70
Lorena Ochoa 36-34—70
Sun Young Yoo 36-34—70
Young Kim 34-36—70
Meena Lee 35-35—70
Maria Hjorth 37-33—70
Allison Fouch 36-34—70
Shi Hyun Ahn 36-34—70
Becky Morgan 35-35—70
Irene Cho 38-33—71
Diana D’Alessio 40-31—71
Anja Monke 37-34—71
Haeji Kang 35-36—71
Alena Sharp 36-35—71
Russy Gulyanamitta 34-37—71
Anna Grzebien 35-36—71
Samantha Richdale 35-36—71
Laura Davies 35-36—71
Pornanong Phatlum 37-34—71
Sophie Gustafson 37-34—71
Kristy McPherson 36-35—71
Brandi Jackson 38-33—71
Ashleigh Simon 37-35—72
Heather Bowie Young 36-36—72
Katie Futcher 36-36—72
Jimin Kang 41-31—72
Anna Rawson 33-39—72
Erica Blasberg 38-34—72
Giulia Sergas 37-35—72
Lindsey Wright 35-37—72
Stacy Lewis 37-35—72
Marcy Hart 39-33—72
Sarah Lee 39-33—72
Leah Wigger 39-33—72
Hye Jung Choi 38-34—72
Jill McGill 36-36—72
Julieta Granada 38-35—73
Reilley Rankin 37-36—73
Sarah Kemp 35-38—73
Lisa Strom 38-35—73
Mollie Fankhauser 32-41—73
Karin Sjodin 39-34—73
Marisa Baena 38-35—73
Nontaya Srisawang 35-38—73
Brittany Lang 36-37—73
Ji Young Oh 35-38—73
Song-Hee Kim 36-37—73
Na Yeon Choi 38-35—73
Amy Hung 38-35—73
Amy Yang 34-39—73
Carolina Llano 40-33—73
a-Ayaka Kaneko 38-35—73
Johanna Mundy 38-35—73
Louise Stahle 38-36—74
Becky Lucidi 36-38—74
Meaghan Francella 39-35—74
Hee Young Park 39-35—74
Leta Lindley 37-37—74
Nicole Castrale 40-34—74
Jiyai Shin 36-38—74
Teresa Lu 37-37—74
Liselotte Neumann 37-37—74
Morgan Pressel 34-40—74
Pat Hurst 37-37—74
In-Kyung Kim 37-37—74
Karrie Webb 39-35—74
Vicky Hurst 39-35—74
Jin Young Pak 40-34—74
Allison Hanna-Williams 36-38—74
Kris Tamulis 36-38—74
Chella Choi 39-36—75
Danielle Downey 38-37—75
Sandra Gal 39-36—75
Eunjung Yi 38-37—75
Jee Young Lee 38-37—75
Joo Mi Kim 38-37—75
Cindy Rarick 38-38—76
Song Yi Choi 41-35—76
Rachel Hetherington 39-37—76
Wendy Ward 39-37—76
Inbee Park 38-38—76
Carin Koch 38-38—76
Silvia Cavalleri 37-39—76
Taylor Leon 40-36—76
Kris Tschetter 36-40—76
Kim Hall 37-39—76
Louise Friberg 39-38—77
Hee-Won Han 37-40—77
Lorie Kane 42-35—77
Catriona Matthew 37-40—77
Katherine Hull 38-39—77
Brittany Lincicome 41-36—77
Mikaela Parmlid 37-40—77
Soo-Yun Kang 38-39—77
Karine Icher 38-39—77
Amy Eneroth 37-41—78
Kyeong Bae 39-39—78
Audra Burks 39-39—78
Shiho Oyama 38-40—78
Becky Iverson 43-35—78
a-Taylore Karle 41-37—78
Sung Ah Yim 38-41—79
Sarah Jane Smith 39-40—79
Jamie Hullett 40-39—79
Charlotte Mayorkas 41-38—79
Kim Welch 38-41—79
Stephanie Louden 40-40—80
Meredith Duncan 38-42—80
Jimin Jeong 41-39—80
Sophie Giquel 42-38—80
Dorothy Delasin 41-40—81
Christi Cano 39-42—81
Mindy Kim 43-39—82
Jeehae Lee 43-40—83
Jeanne Cho-Hunicke 45-38—83
Paula Creamer WD
Jane Park WD
USGA
U.S. AMATEUR
Friday’s match-play results. At Southern Hills Country Club, Tulsa, Okla. Yardage: 7,093; Par: 70
Quarterfinals
Charlie Holland, Dallas, (146) def. Peter Uihlein, Orlando, Fla. (147), 19 holes.
Ben Martin, Greenwood, S.C. (141) def. David Lingmerth, Sweden (145), 2 and 1.
Bhavik Patel, Bakersfield, Calif. (145) def. Phillip Mollica, Anderson, S.C. (147), 1 up.
Byeong-Hun An, South Korea (145) def. Steve Ziegler, Broomfield, Colo. (145), 21 holes.
Pairings for today’s semifinal round
9 a.m.—Charlie Holland, Dallas, 146) vs. Ben Martin, Greenwood, S.C. (141).
9:15 a.m.—Bhavik Patel, Bakersfield, Calif. (145) vs. Byeong-Hun An, South Korea (145)
Holes in one
Samuel James Gervais, Brainerd, The Pines at Grand View No. 7 (Lakes), 149 yards, pitching wedge.
Timothy Messina, Oakdale, Mississippi Dunes No. 9, 113 yards, pitching wedge.
Tennis
ATP-WTA Tours
PILOT PEN
A U.S. Open Series Event. Friday’s results. At The Connecticut Tennis Center at Yale, New Haven, Conn. Purse: Men, $750,000 (WT250); Women, $600,000 (Premier). Surface: Hard-Outdoor
Men
Women
U.S. Open draw
Monday-Sept. 13. At The USTA Bilie Jean King National Tennis Center, New York. wc-wild card
Men
Roger Federer (1), Switzerland, vs. wc-Devin Britton, United States; Qualifier vs. Simon Greul, Germany; Juan Ignacio Chela, Argentina, vs. Oscar Hernandez, Spain; Thiago Alves, Brazil, vs. Lleyton Hewitt (31), Australia; James Blake (21), United States, vs. Ruben Ramirez Hidalgo, Spain; Olivier Rochus, Belgium, vs. Igor Kunitsyn, Russia; Qualifier vs. Guillermo Garcia-Lopez, Spain; Qualifier vs. Tommy Robredo (14), Spain; Robin Soderling (12), Sweden, vs. Albert Montanes, Spain; Mischa Zverev, Germany, vs Marcel Granollers, Spain; Kevin Kim, United States, vs. Dudi Sela, Israel; Qualifier vs. Sam Querrey (22), United States; Paul-Henri Mathieu (26), France, vs. Mikhail Youzhny, Russia; Potito Starace, Italy, vs. Qualifier; Jan Hernych, Czech Republic, vs. Rainer Schuettler, Germany; Qualifier vs. Nikolay Davydenko (8), Russia; Novak Djokovic (4), Serbia, vs. Ivan Ljubicic, Croatia; Qualifier vs. Qualifier; Karol Beck, Slovakia, vs. Maximo Gonzalez, Argentina; Qualifier vs. Igor Andreev (29), Russia; Philipp Kohlschreiber (23), Germany, vs. Andreas Seppi, Italy; Qualifier vs. Frederico Gil, Portugal; Andrey Golubev, Kazakhstan, vs. Leonardo Mayer, Argentina; Simone Bolelli, Italy, vs. Radek Stepanek (15), Czech Republic; Fernando Verdasco (10), Spain, vs. Benjamin Becker, Germany; Florent Serra, France, vs. Janko Tipsarevic, Croatia; Robert Kendrick, United States, vs. Martin Vassallo Arguello, Argentina; Qualifier vs. Tommy Haas (20), Germany; Victor Hanescu (28), Romania, vs. John Isner, United States; Qualifier vs. Christophe Rochus, Belgium; Marc Gicquel, France, vs. Dmitry Tursunov, Russia; Bjorn Phau, Germany, vs. Andy Roddick (5), United States; Jo-Wilfried Tsonga (7), France, vs. wc-Chase Buchanan, United States; Jarkko Nieminen, Finland, vs. Fabio Fognini, Italy; Flavio Cipolla, Italy, vs. Julien Benneteau, France; Qualifier vs. Viktor Troicki (30), Serbia; Tomas Berdych (17), Czech Republic, vs. Wayne Odesnik, United States; Qualifier vs. Qualifier; Qualifier vs. Rajeev Ram, United States; Nicolas Massu, Chile, vs. Fernando Gonzalez (11), Chile; Gael Monfils (13), France, vs. Jeremy Chardy, France; Evgeny Korolev, Russia, vs. Andreas Beck, Germany; Marcos Daniel, Brazil, vs. Jose Acasuso, Argentina; Alberto Martin, Spain, vs. David Ferrer (18), Spain; Nicolas Almagro (32), Spain, vs. Steve Darcis, Belgium; Robby Ginepri, United States, vs. Andrei Pavel, Romania; wc-Michael Llodra, France, vs. Nicolas Kiefer, Germany; Richard Gasquet, France, vs. Rafael Nadal (3), Spain; Juan Martin del Potro (6), Argentina, vs. Juan Monaco, Argentina; Jurgen Melzer, Austria, vs. Marat Safin, Russia; Pablo Cuevas, Uruguay, vs. wc-Chris Guccione, Australia; Daniel Koellerer, Austria, vs. Mardy Fish (25), United States; Juan Carlos Ferrero (24), Spain, vs. Fabrice Santoro, France; Philipp Petzschner, Germany, vs. Sergiy Stakhovsky, Ukraine; Qualifier vs. Yen-hsun Lu, Taiwan; Daniel Gimeno-Traver, Spain, vs. Gilles Simon (9), France; Marin Cilic (16), Croatia, vs. wc-Ryan Sweeting, United States; Teimuraz Gabashvili, Russia, vs. wc-Jesse Levine, United States; Denis Istomin, Uzbekistan, vs. wc-Brendan Evans, United States; Nicolas Lapentti, Ecuador, vs. Stanislas Wawrinka (19), Switzerland; Ivo Karlovic (27), Croatia, vs. Ivan Navarro, Spain; Feliciano Lopez, Spain, vs. wc-Taylor Dent, United States; Paul Capdeville, Chile, vs. Victor Crivoi, Romania; Ernests Gulbis, Latvia, vs. Andy Murray (2), Britain
Women
Dinara Safina (1), Russia, vs. wc-Olivia Rogowska, Australia; Urszula Radwanska, Poland, vs. Kristina Barrois, Germany; Tathiana Garbin, Italy, vs. wc-Mallory Cecil, United States; Petra Kvitova, Czech Republic, vs. Alisa Kleybanova (27), Russia; Patty Schnyder (19), Switzerland, vs. Lucie Safarova, Czech Republic; Sara Errani, Italy, vs. Arantxa Rus, Netherlands; Peng Shuai, China, vs. Jarmila Groth, Australia; Yanina Wickmayer, Belgium, vs. Virginie Razzano (16), France; Ana Ivanovic (11), Serbia, vs. Kateryna Bondarenko, Ukraine; Qualifier vs. Monica Niculescu, Romania; Qualifier vs. Lourdes Dominguez Lino, Spain; Aravane Rezai, France, vs. Sabine Lisicki (23), Germany; Alona Bondarenko (30), Ukraine, vs. Alla Kudryavtseva, Russia; Gisela Dulko, Argentina, vs. Ekaterina Makarova, Russia; Yaroslava Shvedova, Kazakhstan, vs. Masa Zec Peskiric, Slovenia; Roberta Vinci, Italy, vs. Jelena Jankovic (5), Serbia; Elena Dementieva (4), Russia, vs. Qualifier; Anastasia Pavlyuchenkova, Russia, vs. Melanie Oudin, United States; Polona Hercog, Slovenia, vs. wc-Christina McHale, United States; Tsvetana Pironkova, Bulgaria, vs. Maria Sharapova (29), Russia; Zheng Jie (21), China, vs. Anna-Lena Groenefeld, Germany; Alize Cornet, France, vs. Qualifier; Qualifier vs. Julie Coin, France; Katarina Srebotnik, Slovenia, vs. Nadia Petrova (13), Russia; Caroline Wozniacki (9), Denmark, vs. Galina Voskoboeva, Kazakhstan; Qualifier vs. Severine Bremond Beltrame, France; wc-Kristina Mladenovic, France, vs. Stephanie Dubois, Canada; Ayumi Morita, Japan, vs. Sorana Cirstea (24), Romania; Agnes Szavay (32), Hungary, vs. Shahar Peer, Israel; Varvara Lepchenko, United States, vs. Carla Suarez Navarro, Spain; Tamarine Tanasugarn, Thailand, vs. Anastasija Sevastova, Latvia; Julie Goerges, Germany, vs. Svetlana Kuznetsova (6), Russia; Victoria Azarenka (8), Belarus, vs. Alexandra Dulgheru, Romania; Qualifier vs. Qualifier; Alberta Brianti, Italy, vs. Stefanie Voegele, Switzerland; Qualifier vs. Francesca Schiavone (26), Italy; Li Na (18), China, vs. Ioana Raluca Olaru, Romania; Michelle Larcher de Brito, Portugal, vs. Mathilde Johansson, France; Maria Kirilenko, Russia, vs. Qualifier; Patricia Mayr, Austria, vs. Agnieszka Radwanska (12), Poland; Marion Bartoli (14), France, vs. Rossana de Los Rios, Paraguay; Viktoriya Kutuzova, Ukraine, vs. wc-Kim Clijsters, Belgium; Kirsten Flipkens, Belgium, vs. Jelena Dokic, Australia; wc-Gail Brodsky, United States, vs. Anabel Medina Garrigues (20), Spain; Kaia Kanepi (25), Estonia, vs. Qualifier; Magdalena Rybarikova, Slovakia, vs. Qualifier; Bethanie Mattek-Sands, United States, vs. Iveta Benesova, Czech Republic; Vera Dushevina, Russia, vs. Venus Williams (3), United States; Vera Zvonareva (7), Russia, vs. Nuria Llagostera Vives, Spain; Qualifier vs. Anna Chakvetadze, Russia; Qualifier vs. Jill Craybas, United States; Lucie Hradecka, Czech Republic, vs. Elena Vesnina (31), Russia; Amelie Mauresmo (17), France, vs. Tatjana Malek, Germany; Aleksandra Wozniak, Canada, vs. Laura Granville, United States; Olga Govortsova, Belarus, vs. Sania Mirza, India; Edina Gallovits, Romania, vs. Flavia Pennetta (10), Italy; Samantha Stosur (15), Australia, vs. Ai Sugiyama, Japan; wc-Vania King, United States, vs. Anastasiya Yakimova, Belarus; Timea Bacsinszky, Switzerland, vs. Qualifier; Meghann Shaughnessy, United States, vs. Daniela Hantuchova (22), Slovakia; Sybille Bammer (28), Austria, vs. Maria Jose Martinez Sanchez, Spain; Qualifier vs. Andrea Petkovic, Germany; Melinda Czink, Hungary, vs. Maria Elena Camerin, Italy; wc-Alexa Glatch, United States, vs. Serena Williams (2), United States
Auto racing
IRL
PEAK INDY 300 LINEUP
After Friday qualifying; race today. At Chicagoland Speedway, Joliet, Ill. Lap length: 1.5 miles. (Car number in parentheses)
1. (6) Ryan Briscoe, Dallara-Honda, 215.364.
2. (3) Helio Castroneves, Dallara-Honda, 215.202.
3. (10) Dario Franchitti, Dallara-Honda, 214.973.
4. (11) Tony Kanaan, Dallara-Honda, 214.661.
5. (02) Graham Rahal, Dallara-Honda, 214.556.
6. (9) Scott Dixon, Dallara-Honda, 214.494.
7. (26) Marco Andretti, Dallara-Honda, 214.470.
8. (5) Mario Moraes, Dallara-Honda, 214.331.
9. (06) Oriol Servia, Dallara-Honda, 214.126.
10. (7) Danica Patrick, Dallara-Honda, 214.104.
11. (4) Dan Wheldon, Dallara-Honda, 213.808.
12. (20) Ed Carpenter, Dallara-Honda, 213.331.
13. (27) Hideki Mutoh, Dallara-Honda, 213.256.
14. (43) Tomas Scheckter, Dallara-Honda, 213.218.
15. (18) Justin Wilson, Dallara-Honda, 213.011.
16. (24) Mike Conway, Dallara-Honda, 212.671.
17. (2) Raphael Matos, Dallara-Honda, 212.387.
18. (14) Ryan Hunter-Reay, Dallara-Honda, 212.337.
19. (67) Sarah Fisher, Dallara-Honda, 212.125.
20. (13) E.J. Viso, Dallara-Honda, 211.586.
21. (23) Milka Duno, Dallara-Honda, 211.465.
22. (33) Robert Doornbos, Dallara-Honda, 211.169.
23. (98) Jaques Lazier, Dallara-Honda, 208.333.
Soccer
MLS
EASTERN CONFERENCE
W L T Pts GF GA
Columbus 10 3 9 39 34 24
Chicago 10 5 8 38 33 27
Toronto FC 8 8 6 30 30 33
New England 8 6 6 30 24 25
D.C. 6 5 11 29 34 34
Kansas City 5 9 6 21 20 28
New York 3 16 4 13 19 41
WESTERN CONFERENCE
W L T Pts GF GA
Houston 11 6 7 40 31 21
Los Angeles 8 4 11 35 27 23
Seattle 8 6 9 33 29 23
Chivas USA 10 8 3 33 23 23
Colorado 8 7 6 30 34 27
Real Salt Lake 8 9 6 30 34 27
FC Dallas 6 11 5 23 31 35
San Jose 5 11 5 20 26 38
NOTE: Three points for victory, one point for tie.
Today’s games
Toronto FC at Seattle FC, 3 p.m.
San Jose at New England, 6:30 p.m.
D.C. United at Chicago, 7:30 p.m.
Real Salt Lake at Kansas City, 7:30 p.m.
Chivas USA at Los Angeles, 11 p.m.
Sunday’s games
Houston at Colorado, 2 p.m.
Columbus at New York, 5 p.m.
September 5 games
Kansas City at New England, 6:30 p.m.
D.C. United at FC Dallas, 7 p.m.
Toronto FC at Colorado, 9 p.m.
USL
FIRST DIVISION W L T Pts GF GA
x-Portland 14 1 10 52 40 13
Carolina 14 5 6 48 38 14
Charleston 12 4 10 46 27 15
Puerto Rico 11 5 8 41 31 22
Rochester 9 8 7 34 29 27
Montreal 9 10 5 32 26 26
Vancouver 8 9 7 31 33 29
Miami FC 7 13 4 25 20 43
THUNDER 5 11 8 23 26 33
Cleveland City 3 16 7 16 18 46
Austin 3 13 8 15 21 41
NOTE: Three points for victory, one point for tie.
Austin deducted two points; x-clinched playoff berth
Friday’s result
Portland 0, Charleston 0, tie
Thursday’s result
THUNDER 3, Cleveland City 0
Today’s games
THUNDER at Puerto Rico, 6 p.m.
Miami FC at Austin, 7:30 p.m.
Rochester at Vancouver, 9 p.m.
Sunday’s game
Carolina at Montreal, 2:45 p.m.
World Cup qualifying
NORTH AND CENTRAL AMERICA
AND CARIBBEAN FINALS
Top three qualify. Fourth-place team advances to playoff vs. South America fifth-place team
GP W D L GF GA Pts
Costa Rica 6 4 0 2 9 9 12
Honduras 6 3 1 2 11 7 10
United States 6 3 1 2 11 8 10
Mexico 6 3 0 3 8 9 9
El Salvador 6 1 2 3 7 9 5
Trinidad 6 1 2 3 7 11 5
Sept. 5
At Sandy, Utah
United States vs. El Salvador, 6:57 p.m.
At Tegucigalpa, Honduras
Honduras vs. Trinidad and Tobago, 8:30 p.m.
At San Jose, Costa Rica
Costa Rica vs. Mexico, 9 p.m.
Sept. 9
At Port-of-Spain, Trinidad
Trinidad and Tobago vs. United States, 6 p.m.
At San Salvador, El Salvador
El Salvador vs. Costa Rica, 8 p.m.
At Mexico City
Mexico vs. Honduras, 8 p.m.
Oct. 10
Costa Rica vs. Trinidad and Tobago
Honduras vs. United States
Mexico vs. El Salvador
Oct. 14
El Salvador vs. Honduras
Trinidad and Tobago vs. Mexico
United States vs. Costa Rica at Washington, D.C.
Transactions
Baseball
MLB—Announced minor league pitcher Jonady Nunez from Los Angeles Dodgers, has received a 50-game suspension after violating the Minor League Drug Prevention and Treatment Program.
American League
Cleveland Indians—Acquired RHP Yohan Pino from Minnesota to complete the Aug. 7 trade for RHP Carl Pavano and assigned Pino to Columbus (IL)..
TWINS—Acquired RHP Jon Rauch from Arizona for a player to be named. Assigned RHP Philip Humber outright to Rochester (IL).
Oakland Athleitcs—Recalled OF Eric Patterson from Sacramento (PCL). Optioned INF Tommy Everidge to Sacramento.
Tampa Bay Rays—Traded LHP Scott Kazmir to the Los Angeles Angels for LHP Alex Torres, 3B Matt Sweeney and a player to be named later.
National League
Arizona Diamondbacks—Called up C John Hester from Reno (PCL).
Houston Astros—Placed RHP Alberto Arias on the 15-day DL. Recalled RHP Wilton Lopez from Corpus Christi (Texas).
San Francisco Giants—Optioned RHP Joe Martinez to Fresno (PCL). Called up RHP Alex Hinshaw from Fresno.
Washington Nationals—Placed CF Nyjer Morgan on the 15-day DL. Purchased the contract INF Pete Orr from Syracuse (IL). Transferred RHP Jordan Zimmermann to the 60-day DL.
Can-Am League
New Hampshire American Defenders—Signed INF Morgan Brown, OF Steve Pinto and RHP Greg Ford.
Quebec Capitales—Released INF Eddie Lantigua.
Worcester Tornadoes—Acquired INF Greg Lemon from New Hampshire for cash and a player to be named.
Basketball
National Basketball Association
NBA—Suspended Denver G J.R. Smith for seven games without pay for pleading guilty to reckless driving. and Phoenix F Jason Richardson for two game without pay for pleading guilty to driving under the influence.
Football
National Football League
Chicago Bears—Placed DT Dusty Dvoracek on injured reserve.
Denver Broncos—Suspended WR Brandon Marshall for unspecified “detrimental” conduct.
New York Jets—Claimed P Glenn Pakulak off waivers from New Orleans. Waived P Ken Parrish and LB Josh Mauga.
Hockey
National Hockey League
Tampa Bay Lightning—Re-signed D Matt Lashoff to a two-year contract.
Vancouver Canucks—Acquired D Christian Ehrhoff and D Brad Lukowich from San Jose for D Daniel Rahimi and F Patrick White. Signed D Mathieu Schneider to a one-year contract.
College
Massachusetts—Named John Conlon and Vanessa Patry women’s assistant soccer coaches.
Norhtern Arizona—Named Wiley King assistant track and field coach.
Pepperdine—Named J.J. Riley men’s assistant volleyball coach.
Pittsburgh—Suspended F Gilbert Brown from the basketball team for the fall semester because of academic reasons.
Richmond—Named Joey Haug volunteer assistant baseball coach.
Staten Island—Named Robert Russo-Vikos men’s and women’s cross-country coach.
St. Scholastica (Duluth)—Named Owen Johnson as assistant men’s basketball coach.
Syracuse—Named Katie Baran and Lindsey Campbell athletic communications interns.
UNLV—Promoted Andy Grossman from director of media relations to assistant athletics director for media relations and communications and Mark Wallington from associate director for sports information to director of media relations.
Today’s odds
NFL exhibition
Today’s games
Indianapolis 3 (40) DETROIT
New Orleans 2 1/2 (41) OAKLAND
CLEVELAND 2 (37 1/2) Tennessee
PITTSBURGH 5 1/2 (36) Buffalo
CAROLINA 3 1/2 (36) Baltimore
N.Y. GIANTS 3 (37) N.Y. Jets
KANSAS CITY 3 (39) Seattle
DALLAS 6 1/2 (38) San Francisco
ATLANTA 2 1/2 (42) San Diego
Sunday’s game
DENVER 2 1/2 (38) Chicago
Monday’s game
HOUSTON 3 (39) Minnesota
Copyright 2009 World Features Syndicate
Boxing
Professional
FIGHT SCHEDULE
National television in parentheses
Today’s bouts
At Halle, Germany, Victor Emiliano Ramirez, Argentina, vs. Marco Huck, Germany, 12, for Ramirez’s WBO cruiserweight title; Karo Murat, Germany, vs. Lorenzo Di Giacomo, Italy, 12.
At Quik Trip Park, Grande Prairie, Texas, Jesus Soto-Karass, Mexico, vs. Edvan Dos Barrios, Miami, 10, welterweights; Mikey Garcia, Oxnard, Calif., vs. Carlos Rivera, Oldsmar, Fla., 10, featherweights.
At Blaisdell Center, Honolulu, Brian Viloria, Waipahu, Hawaii, vs. Jesus Iribe, Mexico, 12, for Viloria’s IBF light flyweight title.
Sept. 5
At Nuevo Vallarta, Mexico (PPV), Julio Cesar Chavez Jr., Mexico, vs. Jason LeHoullier, Portland, Maine, 10, super welterweights; Manuel Vargas, Mexico, vs. Donnie Nietes, Philippines, 12, for Vargas’ WBO mini flyweight title.
Sept. 12
At Kempton Park, South Africa, Lovemore N’dou, Australia, vs. Matthew Hatton, Britain, 12, for N’dou’s IBO welterweight title; Zolani Marali, South Africa, vs. Ji Hoon Kim, South Korea, 12, for Marali’s IBO super featherweight title.
At MCH Messecenter, Herning, Denmark (SHO), Mikkel Kessler, Denmark, vs. Gusmyl Perdomo, Venezuela, 12, for Kessler’s WBA super middleweight title.
At San Juan, Puerto Rico (PPV), Ivan Calderon, Puerto Rico, vs. Rodel Mayol, Philippines, for Calderon’s WBO and Ring Magazine titles; Roman Martinez, Puerto Rico, vs. Michael Lozada, Mexico, 12, for Martinez’s WBO junior lightweight title.
At Nueva Vallarta, Mexico, Fernando Montiel, Mexico, vs. Jerome Arnould, France, 12, for Montiel’s WBO bantamweight title; Julio Cesar Chavez, Jr., Mexico, vs. Jason Lehoullier, Portland, Maine, 10, super welterweights.
At Pechanga Resort and Casino, Temecula, Calif. (SHO), Andre Ward, Oakland, Calif., vs. Shelby Pudwill, Mandan, N.D., 10, super middleweights.
Sept. 19
At MGM Grand, Las Vegas, Floyd Mayweather, Las Vegas, vs. Juan Manuel Marquez, Anaheim, Calif., 12, welterweights; Chris John, Indonesia, vs. Rocky Juarez, Houston, 12, for John’s WBA featherweight title; Vicente Escobedo, Woodland, Calif. vs. Michael Katsidis, Thailand, 12, for vacant interim WBO lightweight title; Zab Judah, Las Vegas, vs. Antonio Diaz, Coachella, Calif., 10, welterweights.
At Neubrandenburg, Germany, Giovanni Lorenzo, New York, vs. Sebastian Sylvester, Germany, 12, for vacant IBF middleweight title.
Sept. 26
At Staples Center, Los Angeles, Vitali Klitschko, Los Angeles, vs. Chris Arreola, Riverside, Calif., 12, for Klitschko’s WBC heavyweight title.
At UIC Pavilion, Chicago, David Diaz, Chicago, vs. Jesus Chavez, Austin, Texas, 10, lightweights.
Oct. 3
At Tokyo, Nobuo Nashiro, Japan, vs. Hugo Cazares, Mexico, 12, for Nashiro’s WBA junior bantamweight title.
Oct. 10
At Madison Square Garden, New York (PPV), Yuriorkis Gamboa, Miami, vs. Whyber Garcia, Panama, 12, for Gamboa’s WBA featherweight title; Odlanier Solis, Miami, vs. Kevin Johnson, Atlanta, 12, heavyweights.
At Tokyo, Toshiaki Nishioka, Japan, vs. Ivan Hernandez, Mexico, 12, for Nishioka’s WBC junior featherweight tile; Jorge Linares, Tokyo, vs. Juan Carlos Salgado, Mexico, 12, for Linares’ WBA junior lightweight title.
Oct. 17
At TBA, Germany (SHO), Arthur Abraham, Germany, vs. Jermain Taylor, Little Rock, Ark., 12, super middleweights.
At Trent FM Arena, Nottingham, England (SHO), Carl Froch, Britain, vs. Andre Dirrell, Flint, Mich., 12, for Froch’s WBC super middleweight title.
Nov. 7
At XL Center, Hartford, Conn. (HBO), Chad Dawson, New Haven, Conn., vs. Glen Johnson, Miami, 12, for vacant interim WBC light heavyweight title; Harry Joe Yorgey, Bridgeport, Pa., vs. Alfredo Angulo, Mexico, 10, junior middleweights.
At TBA, Nikolai Valuev, Russia, vs. David Haye, Britain, 12, for Valuev’s WBA heavyweight title.
Nov. 14
At MGM Grand, Las Vegas (PPV), Manny Pacquiao, Philippines, vs. Miguel Cotto, Puerto Rico, 12, welterweights.
Nov. 28
At TBA, Canada (HBO), Lucian Bute, Canada, vs. Librado Andrade, La Habra, Calif., 12, for Bute’s IBF super middleweight title.
Canterbury Park
Friday’s results
FIRST RACE, One Mile and Seventy Yards, Maiden Claiming $10,000, Purse $7,000
PP Horse Jockey
7 Hey Julie Eikleberry 3.80 2.80 2.20
1 Let’s Go Fever Bell 3.00 2.60
8 Whosallbeeninthere Nolan 3.20
$1 Exacta (7,1) $5.70; $1 Trifecta (7,1,8) $16.30; $1 Superfecta (7,1,8,6) $57.20. Scratches: #3 Classic Bound #9 Sorbeeb. Time: 1:46.49
SECOND RACE, One Mile and One Sixteenth Turf, Claiming $7,500, Purse $10,000
PP Horse Jockey
7 Fancy Princess Betancourt 25.40 9.80 6.00
9 Skinny Legs N All Eikleberry 3.80 3.40
2 Chasin Mason Jimenez 11.00
$1 Exacta (7,9) $59.60; $1 Trifecta (7,9,2) $964.70; $1 Superfecta (7,9,2,6) $12,880.80; $1 Double (7,7) $31.90. Scratches: #3 Deb Doright. Time: 1:43.66
THIRD RACE, Five and One Half Furlongs, Maiden, Purse $18,600
PP Horse Jockey
8 Freedom First Eikleberry 14.20 8.20 3.60
5 Kuval Butler 12.00 5.00
2 Buca Primo Goodwin 3.00
$1 Exacta (8,5) $84.10; $1 Trifecta (8,5,2) $381.30; $1 Superfecta (8,5,2,6) $1,382.80; $1 Pick Three (7,7,8) $260.20. Time: 1:06.88
FOURTH RACE, Six Furlongs, Claiming $7,500, Purse $9,000
PP Horse Jockey
1 Alex’s Tomcat Morales 6.00 4.20 3.20
6 Rapid Jack Von Rosen 5.60 4.00
7 Stitchntwine Butler 2.80
$1 Exacta (1,6) $20.10; $1 Trifecta (1,6,7) $52.80; $1 Superfecta (1,6,7,3) $134.70; $1 Pick Three (7,8,1) $265.30. Scratches: #2 Silver Wilbur. Time: 1:11.34
FIFTH RACE, Five and One Half Furlongs, Maiden Claiming $25,000, Purse $12,400
PP Horse Jockey
1 Pioneer Edition Eikleberry 5.60 3.00 2.40
6 Lucky Gold Brick Butler 4.80 3.00
3 Julian Love Goodwin 2.40
$1 Exacta (1,6) $12.00; $1 Trifecta (1,6,3) $30.90; $1 Superfecta (1,6,3,8) $349.40; $1 Pick Three (8,1,1) $148.50. Time: 1:07.45
SIXTH RACE, Six Furlongs, Claiming $7,500, Purse $7,000
PP Horse Jockey
4 Walking Bob Von Rosen 20.00 9.00 5.00
2 Slew the Tiger Jimenez 48.60 13.80
9 Extinguished Butler 7.80
$1 Exacta (4,2) $539.80; $1 Trifecta (4,2,9) $3,094.00; $1 Superfecta (4,2,9,7) $41,858.50; $1 Pick Three (1,1,4) $239.80. Time: 1:12.3
SEVENTH RACE, Six Furlongs, Claiming $5,000, Purse $8,000
PP Horse Jockey
7 Marky P Goodwin 15.80 4.00 2.80
1 Singer’s Legacy Eikleberry 2.80 2.40
9 He’s a Believer Von Rosen 3.00
$1 Exacta (7,1) $20.00; $1 Trifecta (7,1,9) $99.60; $1 Superfecta (7,1,9,2) $154.60; $1 Pick Three (1,4,7) $13.90. Scratches: #3 Leading Temptation #4 Mean U Gene #8 Innisbrook #10 Shot Of Somerset. Time: 1:11.52
EIGHTH RACE, One Mile and Seventy Yards, Claiming $5,000, Purse $8,000
PP Horse Jockey
1 Banker’s Delight Von Rosen 12.40 6.60 4.00
9 A P Dreamer Goodwin 8.20 5.40
2 Mithrandir (CHI) Ferrer 2.80
$1 Exacta (1,9) $49.80; $1 Trifecta (1,9,2) $101.00; $1 Superfecta (1,9,2,3) $1779.30; $1 Pick Three (4,7,1) $40.50; $1 Pick Four (1,4,7,1) $4186.00; $2 Pick Six (5 of 6) $138.60. Scratches: #4 Slick Carson #8 Queen’s Last Hart. Time: 1:43.43
NINTH RACE, Six Furlongs, Maiden Claiming $10,000, Purse $8,680
PP Horse Jockey
11 Timeless Fortune Ferrer 8.00 5.20 4.40
3 Tahkodha Bump Nolan 4.40 4.20
1 Straightupcashhomey Jimenez 6.00
$1 Exacta (11,3) $29.50; $1 Trifecta (11,3,1) $173.40; $1 Superfecta (11,3,1,2) $343.50; $1 Double (1,11) $42.40; $1 Pick Three (7,1,11) $276.20. Time: 1:13.55
Attendance: 4,966. Total handle: $396,422. Live handle: $188,140
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Volume 12, 2020
Volume 12, 2020
Statistical downscaling of water vapour satellite measurements from profiles of tropical ice clouds
Giulia Carella, Mathieu Vrac, Hélène Brogniez, Pascal Yiou, and Hélène Chepfer
Earth Syst. Sci. Data, 12, 1–20, https://doi.org/10.5194/essd-12-1-2020,https://doi.org/10.5194/essd-12-1-2020, 2020
Short summary
Short summary
Observations of relative humidity for ice clouds over the tropical oceans from a passive microwave sounder are downscaled by incorporating the high-resolution variability derived from simultaneous co-located cloud profiles from a lidar. By providing a method to generate pseudo-observations of relative humidity at high spatial resolution, this work will help revisit some of the current key barriers in atmospheric science.
An open-source database for the synthesis of soil radiocarbon data: International Soil Radiocarbon Database (ISRaD) version 1.0
Corey R. Lawrence, Jeffrey Beem-Miller, Alison M. Hoyt, Grey Monroe, Carlos A. Sierra, Shane Stoner, Katherine Heckman, Joseph C. Blankinship, Susan E. Crow, Gavin McNicol, Susan Trumbore, Paul A. Levine, Olga VinduÅ¡ková, Katherine Todd-Brown, Craig Rasmussen, Caitlin E. Hicks Pries, Christina Schädel, Karis McFarlane, Sebastian Doetterl, Christine Hatté, Yujie He, Claire Treat, Jennifer W. Harden, Margaret S. Torn, Cristian Estop-Aragonés, Asmeret Asefaw Berhe, Marco Keiluweit, Ãgatha Della Rosa Kuhnen, Erika Marin-Spiotta, Alain F. Plante, Aaron Thompson, Zheng Shi, Joshua P. Schimel, Lydia J. S. Vaughn, Sophie F. von Fromm, and Rota Wagai
Earth Syst. Sci. Data, 12, 61–76, https://doi.org/10.5194/essd-12-61-2020,https://doi.org/10.5194/essd-12-61-2020, 2020
Short summary
Short summary
The International Soil Radiocarbon Database (ISRaD) is an an open-source archive of soil data focused on datasets including radiocarbon measurements. ISRaD includes data from bulk or whole soils, distinct soil carbon pools isolated in the laboratory by a variety of soil fractionation methods, samples of soil gas or water collected interstitially from within an intact soil profile, CO2 gas isolated from laboratory soil incubations, and fluxes collected in situ from a soil surface.
The European Radiological Data Exchange Platform (EURDEP): 25 years of monitoring data exchange
Marco Sangiorgi, Miguel Angel Hernández-Ceballos, Kevin Jackson, Giorgia Cinelli, Konstantins Bogucarskis, Luca De Felice, Andrei Patrascu, and Marc De Cort
Earth Syst. Sci. Data, 12, 109–118, https://doi.org/10.5194/essd-12-109-2020,https://doi.org/10.5194/essd-12-109-2020, 2020
Short summary
Short summary
After the Chernobyl accident in 1986 the European Commission has invested resources for developing and improving a complete system called the European Radiological Data Exchange Platform (EURDEP) to exchange real-time monitoring data to competent authorities and the public. We provide two complete datasets (air-concentration samples and gamma dose rates) for the recent radiological release of 106Ru in Europe, which occurred between the end of September and early October 2017.
Green Edge ice camp campaigns: understanding the processes controlling the under-ice Arctic phytoplankton spring bloom
Philippe Massicotte, Rémi Amiraux, Marie-Pier Amyot, Philippe Archambault, Mathieu Ardyna, Laurent Arnaud, Lise Artigue, Cyril Aubry, Pierre Ayotte, Guislain Bécu, Simon Bélanger, Ronald Benner, Henry C. Bittig, Annick Bricaud, Ãric Brossier, Flavienne Bruyant, Laurent Chauvaud, Debra Christiansen-Stowe, Hervé Claustre, Véronique Cornet-Barthaux, Pierre Coupel, Christine Cox, Aurelie Delaforge, Thibaud Dezutter, Céline Dimier, Florent Domine, Francis Dufour, Christiane Dufresne, Dany Dumont, Jens Ehn, Brent Else, Joannie Ferland, Marie-Hélène Forget, Louis Fortier, Martà GalÃ, Virginie Galindo, Morgane Gallinari, Nicole Garcia, Catherine Gérikas Ribeiro, Margaux Gourdal, Priscilla Gourvil, Clemence Goyens, Pierre-Luc Grondin, Pascal Guillot, Caroline Guilmette, Marie-Noëlle Houssais, Fabien Joux, Léo Lacour, Thomas Lacour, Augustin Lafond, José Lagunas, Catherine Lalande, Julien Laliberté, Simon Lambert-Girard, Jade Larivière, Johann Lavaud, Anita LeBaron, Karine Leblanc, Florence Le Gall, Justine Legras, Mélanie Lemire, Maurice Levasseur, Edouard Leymarie, Aude Leynaert, Adriana Lopes dos Santos, Antonio Lourenço, David Mah, Claudie Marec, Dominique Marie, Nicolas Martin, Constance Marty, Sabine Marty, Guillaume Massé, Atsushi Matsuoka, Lisa Matthes, Brivaela Moriceau, Pierre-Emmanuel Muller, Christopher-John Mundy, Griet Neukermans, Laurent Oziel, Christos Panagiotopoulos, Jean-Jacques Pangrazi, Ghislain Picard, Marc Picheral, France Pinczon du Sel, Nicole Pogorzelec, Ian Probert, Bernard Quéguiner, Patrick Raimbault, Joséphine Ras, Eric Rehm, Erin Reimer, Jean-François Rontani, Søren Rysgaard, Blanche Saint-Béat, Makoto Sampei, Julie Sansoulet, Catherine Schmechtig, Sabine Schmidt, Richard Sempéré, Caroline Sévigny, Yuan Shen, Margot Tragin, Jean-Ãric Tremblay, Daniel Vaulot, Gauthier Verin, Frédéric Vivier, Anda Vladoiu, Jeremy Whitehead, and Marcel Babin
Earth Syst. Sci. Data, 12, 151–176, https://doi.org/10.5194/essd-12-151-2020,https://doi.org/10.5194/essd-12-151-2020, 2020
Short summary
Short summary
The Green Edge initiative was developed to understand the processes controlling the primary productivity and the fate of organic matter produced during the Arctic spring bloom (PSB). In this article, we present an overview of an extensive and comprehensive dataset acquired during two expeditions conducted in 2015 and 2016 on landfast ice southeast of Qikiqtarjuaq Island in Baffin Bay.
TephraKam: geochemical database of glass compositions in tephra and welded tuffs from the Kamchatka volcanic arc (northwestern Pacific)
Maxim V. Portnyagin, Vera V. Ponomareva, Egor A. Zelenin, Lilia I. Bazanova, Maria M. Pevzner, Anastasia A. Plechova, Aleksei N. Rogozin, and Dieter Garbe-Schönberg
Earth Syst. Sci. Data, 12, 469–486, https://doi.org/10.5194/essd-12-469-2020,https://doi.org/10.5194/essd-12-469-2020, 2020
Short summary
Short summary
Tephra is fragmented material produced by explosive volcanic eruptions. Geochemically characterized tephra layers are excellent time marker horizons and samples of magma composition. TephraKam is database of the ages and chemical composition of volcanic glass in tephra from the Kamchatka volcanic arc (northwestern Pacific). TephraKam enables the identification of tephra sources, correlation and dating of natural archives, and reconstruction of spatiotemporal evolution of volcanism in Kamchatka.
Marine carbonyl sulfide (OCS) and carbon disulfide (CS2): a compilation of measurements in seawater and the marine boundary layer
Sinikka T. Lennartz, Christa A. Marandino, Marc von Hobe, Meinrat O. Andreae, Kazushi Aranami, Elliot Atlas, Max Berkelhammer, Heinz Bingemer, Dennis Booge, Gregory Cutter, Pau Cortes, Stefanie Kremser, Cliff S. Law, Andrew Marriner, Rafel Simó, Birgit Quack, Günther Uher, Huixiang Xie, and Xiaobin Xu
Earth Syst. Sci. Data, 12, 591–609, https://doi.org/10.5194/essd-12-591-2020,https://doi.org/10.5194/essd-12-591-2020, 2020
Short summary
Short summary
Sulfur-containing trace gases in the atmosphere influence atmospheric chemistry and the energy budget of the Earth by forming aerosols. The ocean is an important source of the most abundant sulfur gas in the atmosphere, carbonyl sulfide (OCS) and its most important precursor carbon disulfide (CS2). In order to assess global variability of the sea surface concentrations of both gases to calculate their oceanic emissions, we have compiled a database of existing shipborne measurements.
Replacing missing values in the standard Multi-angle Imaging SpectroRadiometer (MISR) radiometric camera-by-camera cloud mask (RCCM) data product
Michel M. Verstraete, Linda A. Hunt, Hugo De Lemos, and Larry Di Girolamo
Earth Syst. Sci. Data, 12, 611–628, https://doi.org/10.5194/essd-12-611-2020,https://doi.org/10.5194/essd-12-611-2020, 2020
Short summary
Short summary
The radiometric camera-by-camera cloud mask product, available for each of the nine cameras of the MISR instrument, contains a variable number of missing values, especially wherever and whenever the instrument is switched from the Global to Local Mode of operation. This paper proposes a simple method for effectively replacing those missing values and demonstrates the performance of the process. MISR data and software tools are obtainable from public domain websites to explore this issue further.
Meteorological drought lacunarity around the world and its classification
Robert Monjo, Dominic Royé, and Javier Martin-Vide
Earth Syst. Sci. Data, 12, 741–752, https://doi.org/10.5194/essd-12-741-2020,https://doi.org/10.5194/essd-12-741-2020, 2020
Integrating palaeoclimate time series with rich metadata for uncertainty modelling: strategy and documentation of the PalMod 130k marine palaeoclimate data synthesis
Lukas Jonkers, Olivier Cartapanis, Michael Langner, Nick McKay, Stefan Mulitza, Anne Strack, and Michal Kucera
Earth Syst. Sci. Data, 12, 1053–1081, https://doi.org/10.5194/essd-12-1053-2020,https://doi.org/10.5194/essd-12-1053-2020, 2020
Data for wetlandscapes and their changes around the world
Navid Ghajarnia, Georgia Destouni, Josefin Thorslund, Zahra Kalantari, Imenne à hlén, Jesús A. Anaya-Acevedo, Juan F. Blanco-Libreros, Sonia Borja, Sergey Chalov, Aleksandra Chalova, Kwok P. Chun, Nicola Clerici, Amanda Desormeaux, Bethany B. Garfield, Pierre Girard, Olga Gorelits, Amy Hansen, Fernando Jaramillo, Jerker Jarsjö, Adnane Labbaci, John Livsey, Giorgos Maneas, Kathryn McCurley Pisarello, Sebastián Palomino-Ãngel, Jan PietroÅ, René M. Price, Victor H. Rivera-Monroy, Jorge Salgado, A. Britta K. Sannel, Samaneh Seifollahi-Aghmiuni, Ylva Sjöberg, Pavel Terskii, Guillaume Vigouroux, Lucia Licero-Villanueva, and David Zamora
Earth Syst. Sci. Data, 12, 1083–1100, https://doi.org/10.5194/essd-12-1083-2020,https://doi.org/10.5194/essd-12-1083-2020, 2020
Short summary
Short summary
Hydroclimate and land-use conditions determine the dynamics of wetlands and their ecosystem services. However, knowledge and data for conditions and changes over entire wetlandscapes are scarce. This paper presents a novel database for 27 wetlandscapes around the world, combining survey-based local information and hydroclimatic and land-use datasets. The developed database can enhance our capacity to understand and manage critical wetland ecosystems and their services under global change.
A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications
Kimberly A. Casey, Cecile S. Rousseaux, Watson W. Gregg, Emmanuel Boss, Alison P. Chase, Susanne E. Craig, Colleen B. Mouw, Rick A. Reynolds, Dariusz Stramski, Steven G. Ackleson, Annick Bricaud, Blake Schaeffer, Marlon R. Lewis, and Stéphane Maritorena
Earth Syst. Sci. Data, 12, 1123–1139, https://doi.org/10.5194/essd-12-1123-2020,https://doi.org/10.5194/essd-12-1123-2020, 2020
Short summary
Short summary
An increase in spectral resolution in forthcoming remote-sensing missions will improve our ability to understand and characterize aquatic ecosystems. We organize and provide a global compilation of high spectral resolution inherent and apparent optical property data from polar, midlatitude, and equatorial open-ocean, estuary, coastal, and inland waters. The data are intended to aid in development of remote-sensing data product algorithms and to perform calibration and validation activities.
Global database of ratios of particulate organic carbon to thorium-234 in the ocean: improving estimates of the biological carbon pump
Viena Puigcorbé, Pere Masqué, and Frédéric A. C. Le Moigne
Earth Syst. Sci. Data, 12, 1267–1285, https://doi.org/10.5194/essd-12-1267-2020,https://doi.org/10.5194/essd-12-1267-2020, 2020
Short summary
Short summary
The biological carbon pump is a mechanism by which the oceans capture atmospheric carbon dioxide thanks to microscopic marine algae. Quantifying its strength and efficiency is crucial to understand the global carbon budget and be able to forecast its trends. The radioactive pair 234Th : 238U has been extensively used for that purpose. This is a global compilation of carbon-to-234Th ratios (needed to convert the 234Th fluxes to carbon fluxes) that will contribute to improve our modeling efforts.
The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests
Christopher P. O. Reyer, Ramiro Silveyra Gonzalez, Klara Dolos, Florian Hartig, Ylva Hauf, Matthias Noack, Petra Lasch-Born, Thomas Rötzer, Hans Pretzsch, Henning Meesenburg, Stefan Fleck, Markus Wagner, Andreas Bolte, Tanja G. M. Sanders, Pasi Kolari, Annikki Mäkelä, Timo Vesala, Ivan Mammarella, Jukka Pumpanen, Alessio Collalti, Carlo Trotta, Giorgio Matteucci, Ettore D'Andrea, Lenka Foltýnová, Jan Krejza, Andreas Ibrom, Kim Pilegaard, Denis Loustau, Jean-Marc Bonnefond, Paul Berbigier, Delphine Picart, Sébastien Lafont, Michael Dietze, David Cameron, Massimo Vieno, Hanqin Tian, Alicia Palacios-Orueta, Victor Cicuendez, Laura Recuero, Klaus Wiese, Matthias Büchner, Stefan Lange, Jan Volkholz, Hyungjun Kim, Joanna A. Horemans, Friedrich Bohn, Jörg Steinkamp, Alexander Chikalanov, Graham P. Weedon, Justin Sheffield, Flurin Babst, Iliusi Vega del Valle, Felicitas Suckow, Simon Martel, Mats Mahnken, Martin Gutsch, and Katja Frieler
Earth Syst. Sci. Data, 12, 1295–1320, https://doi.org/10.5194/essd-12-1295-2020,https://doi.org/10.5194/essd-12-1295-2020, 2020
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Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database provides a wide range of empirical data to calibrate and evaluate vegetation models that simulate climate impacts at the forest stand scale to support systematic model intercomparisons and model development in Europe.
Vegetation, ground cover, soil, rainfall simulation, and overland-flow experiments before and after tree removal in woodland-encroached sagebrush steppe: the hydrology component of the Sagebrush Steppe Treatment Evaluation Project (SageSTEP)
C. Jason Williams, Frederick B. Pierson, Patrick R. Kormos, Osama Z. Al-Hamdan, and Justin C. Johnson
Earth Syst. Sci. Data, 12, 1347–1365, https://doi.org/10.5194/essd-12-1347-2020,https://doi.org/10.5194/essd-12-1347-2020, 2020
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Data were collected at three sites over 10 years to evaluate ecologic impacts of tree encroachment on rangelands and assess impacts of tree-removal practices on vegetation, surface conditions, and hydrologic/erosion processes. The dataset includes 1300 rainfall simulation and 838 overland-flow experiments paired with vegetation, surface cover, and soil data across point to hillslope scales. The data advance hydrology/erosion process understanding and are a source for model development/testing.
The Global Methane Budget 2000â2017
Marielle Saunois, Ann R. Stavert, Ben Poulter, Philippe Bousquet, Josep G. Canadell, Robert B. Jackson, Peter A. Raymond, Edward J. Dlugokencky, Sander Houweling, Prabir K. Patra, Philippe Ciais, Vivek K. Arora, David Bastviken, Peter Bergamaschi, Donald R. Blake, Gordon Brailsford, Lori Bruhwiler, Kimberly M. Carlson, Mark Carrol, Simona Castaldi, Naveen Chandra, Cyril Crevoisier, Patrick M. Crill, Kristofer Covey, Charles L. Curry, Giuseppe Etiope, Christian Frankenberg, Nicola Gedney, Michaela I. Hegglin, Lena Höglund-Isaksson, Gustaf Hugelius, Misa Ishizawa, Akihiko Ito, Greet Janssens-Maenhout, Katherine M. Jensen, Fortunat Joos, Thomas Kleinen, Paul B. Krummel, Ray L. Langenfelds, Goulven G. Laruelle, Licheng Liu, Toshinobu Machida, Shamil Maksyutov, Kyle C. McDonald, Joe McNorton, Paul A. Miller, Joe R. Melton, Isamu Morino, Jurek Müller, Fabiola Murguia-Flores, Vaishali Naik, Yosuke Niwa, Sergio Noce, Simon O'Doherty, Robert J. Parker, Changhui Peng, Shushi Peng, Glen P. Peters, Catherine Prigent, Ronald Prinn, Michel Ramonet, Pierre Regnier, William J. Riley, Judith A. Rosentreter, Arjo Segers, Isobel J. Simpson, Hao Shi, Steven J. Smith, L. Paul Steele, Brett F. Thornton, Hanqin Tian, Yasunori Tohjima, Francesco N. Tubiello, Aki Tsuruta, Nicolas Viovy, Apostolos Voulgarakis, Thomas S. Weber, Michiel van Weele, Guido R. van der Werf, Ray F. Weiss, Doug Worthy, Debra Wunch, Yi Yin, Yukio Yoshida, Wenxin Zhang, Zhen Zhang, Yuanhong Zhao, Bo Zheng, Qing Zhu, Qiuan Zhu, and Qianlai Zhuang
Earth Syst. Sci. Data, 12, 1561–1623, https://doi.org/10.5194/essd-12-1561-2020,https://doi.org/10.5194/essd-12-1561-2020, 2020
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Understanding and quantifying the global methane (CH4) budget is important for assessing realistic pathways to mitigate climate change. We have established a consortium of multidisciplinary scientists under the umbrella of the Global Carbon Project to synthesize and stimulate new research aimed at improving and regularly updating the global methane budget. This is the second version of the review dedicated to the decadal methane budget, integrating results of top-down and bottom-up estimates.
This article is included in the Encyclopedia of Geosciences
University of Kentucky measurements of wind, temperature, pressure and humidity in support of LAPSE-RATE using multisite fixed-wing and rotorcraft unmanned aerial systems
Sean C. C. Bailey, Michael P. Sama, Caleb A. Canter, L. Felipe Pampolini, Zachary S. Lippay, Travis J. Schuyler, Jonathan D. Hamilton, Sean B. MacPhee, Isaac S. Rowe, Christopher D. Sanders, Virginia G. Smith, Christina N. Vezzi, Harrison M. Wight, Jesse B. Hoagg, Marcelo I. Guzman, and Suzanne Weaver Smith
Earth Syst. Sci. Data, 12, 1759–1773, https://doi.org/10.5194/essd-12-1759-2020,https://doi.org/10.5194/essd-12-1759-2020, 2020
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This article describes the systems, processes and procedures used by researchers from the University of Kentucky (UK) for the Lower Atmospheric Profiling Studies at Elevation – a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE) in the San Luis Valley in Colorado, USA. Using unmanned aerial systems (UASs) as the primary data-gathering tool, UK supported multipoint, multisystem measurements of drainage flow, boundary layer transition, convection initiation and aerosol concentration.
A cultivated planet in 2010 â Part 1: The global synergy cropland map
Miao Lu, Wenbin Wu, Liangzhi You, Linda See, Steffen Fritz, Qiangyi Yu, Yanbing Wei, Di Chen, Peng Yang, and Bing Xue
Earth Syst. Sci. Data, 12, 1913–1928, https://doi.org/10.5194/essd-12-1913-2020,https://doi.org/10.5194/essd-12-1913-2020, 2020
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Global cropland distribution is critical for agricultural monitoring and food security. We propose a new Self-adapting Statistics Allocation Model (SASAM) to develop the global map of cropland distribution. SASAM is based on the fusion of multiple existing cropland maps and multilevel statistics of cropland area, which is independent of training samples. The synergy map has higher accuracy than the input datasets and better consistency with the cropland statistics.
Heat stored in the Earth system: where does the energy go?
Karina von Schuckmann, Lijing Cheng, Matthew D. Palmer, James Hansen, Caterina Tassone, Valentin Aich, Susheel Adusumilli, Hugo Beltrami, Tim Boyer, Francisco José Cuesta-Valero, Damien Desbruyères, Catia Domingues, Almudena GarcÃa-GarcÃa, Pierre Gentine, John Gilson, Maximilian Gorfer, Leopold Haimberger, Masayoshi Ishii, Gregory C. Johnson, Rachel Killick, Brian A. King, Gottfried Kirchengast, Nicolas Kolodziejczyk, John Lyman, Ben Marzeion, Michael Mayer, Maeva Monier, Didier Paolo Monselesan, Sarah Purkey, Dean Roemmich, Axel Schweiger, Sonia I. Seneviratne, Andrew Shepherd, Donald A. Slater, Andrea K. Steiner, Fiammetta Straneo, Mary-Louise Timmermans, and Susan E. Wijffels
Earth Syst. Sci. Data, 12, 2013–2041, https://doi.org/10.5194/essd-12-2013-2020,https://doi.org/10.5194/essd-12-2013-2020, 2020
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Understanding how much and where the heat is distributed in the Earth system is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This study is a Global Climate Observing System (GCOS) concerted international effort to obtain the Earth heat inventory over the period 1960–2018.
This article is included in the Encyclopedia of Geosciences
CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil
VinÃcius B. P. Chagas, Pedro L. B. Chaffe, Nans Addor, Fernando M. Fan, Ayan S. Fleischmann, Rodrigo C. D. Paiva, and VinÃcius A. Siqueira
Earth Syst. Sci. Data, 12, 2075–2096, https://doi.org/10.5194/essd-12-2075-2020,https://doi.org/10.5194/essd-12-2075-2020, 2020
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We present a new dataset for large-sample hydrological studies in Brazil. The dataset encompasses daily observed streamflow from 3679 gauges, as well as meteorological forcing for 897 selected catchments. It also includes 65 attributes covering topographic, climatic, hydrologic, land cover, geologic, soil, and human intervention variables. CAMELS-BR is publicly available and will enable new insights into the hydrological behavior of catchments in Brazil.
Cloud_cci ATSR-2 and AATSR data set version 3: a 17-year climatology of global cloud and radiation properties
Caroline A. Poulsen, Gregory R. McGarragh, Gareth E. Thomas, Martin Stengel, Matthew W. Christensen, Adam C. Povey, Simon R. Proud, Elisa Carboni, Rainer Hollmann, and Roy G. Grainger
Earth Syst. Sci. Data, 12, 2121–2135, https://doi.org/10.5194/essd-12-2121-2020,https://doi.org/10.5194/essd-12-2121-2020, 2020
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We have created a satellite cloud and radiation climatology from the ATSR-2 and AATSR on board ERS-2 and Envisat, respectively, which spans the period 1995–2012. The data set was created using a combination of optimal estimation and neural net techniques. The data set was created as part of the ESA Climate Change Initiative program. The data set has been compared with active CALIOP lidar measurements and compared with MAC-LWP AND CERES-EBAF measurements and is shown to have good performance.
The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign
Kirk Knobelspiesse, Henrique M. J. Barbosa, Christine Bradley, Carol Bruegge, Brian Cairns, Gao Chen, Jacek Chowdhary, Anthony Cook, Antonio Di Noia, Bastiaan van Diedenhoven, David J. Diner, Richard Ferrare, Guangliang Fu, Meng Gao, Michael Garay, Johnathan Hair, David Harper, Gerard van Harten, Otto Hasekamp, Mark Helmlinger, Chris Hostetler, Olga Kalashnikova, Andrew Kupchock, Karla Longo De Freitas, Hal Maring, J. Vanderlei Martins, Brent McBride, Matthew McGill, Ken Norlin, Anin Puthukkudy, Brian Rheingans, Jeroen Rietjens, Felix C. Seidel, Arlindo da Silva, Martijn Smit, Snorre Stamnes, Qian Tan, Sebastian Val, Andrzej Wasilewski, Feng Xu, Xiaoguang Xu, and John Yorks
Earth Syst. Sci. Data, 12, 2183–2208, https://doi.org/10.5194/essd-12-2183-2020,https://doi.org/10.5194/essd-12-2183-2020, 2020
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The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) field campaign is a resource for the next generation of spaceborne multi-angle polarimeter (MAP) and lidar missions. Conducted in the fall of 2017 from the Armstrong Flight Research Center in Palmdale, California, four MAP instruments and two lidars were flown on the high-altitude ER-2 aircraft over a variety of scene types and ground assets. Data are freely available to the public and useful for algorithm development and testing.
The Iso2k database: a global compilation of paleo-δ18O and δ2H records to aid understanding of Common Era climate
Bronwen L. Konecky, Nicholas P. McKay, Olga V. Churakova (Sidorova), Laia Comas-Bru, Emilie P. Dassié, Kristine L. DeLong, Georgina M. Falster, Matt J. Fischer, Matthew D. Jones, Lukas Jonkers, Darrell S. Kaufman, Guillaume Leduc, Shreyas R. Managave, Belen Martrat, Thomas Opel, Anais J. Orsi, Judson W. Partin, Hussein R. Sayani, Elizabeth K. Thomas, Diane M. Thompson, Jonathan J. Tyler, Nerilie J. Abram, Alyssa R. Atwood, Olivier Cartapanis, Jessica L. Conroy, Mark A. Curran, Sylvia G. Dee, Michael Deininger, Dmitry V. Divine, Zoltán Kern, Trevor J. Porter, Samantha L. Stevenson, Lucien von Gunten, and Iso2k Project Members
Earth Syst. Sci. Data, 12, 2261–2288, https://doi.org/10.5194/essd-12-2261-2020,https://doi.org/10.5194/essd-12-2261-2020, 2020
A dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in Germany
Benjamin Fersch, Till Francke, Maik Heistermann, Martin Schrön, Veronika Döpper, Jannis Jakobi, Gabriele Baroni, Theresa Blume, Heye Bogena, Christian Budach, Tobias Gränzig, Michael Förster, Andreas Güntner, Harrie-Jan Hendricks Franssen, Mandy Kasner, Markus Köhli, Birgit Kleinschmit, Harald Kunstmann, Amol Patil, Daniel Rasche, Lena Scheiffele, Ulrich Schmidt, Sandra Szulc-Seyfried, Jannis Weimar, Steffen Zacharias, Marek Zreda, Bernd Heber, Ralf Kiese, Vladimir Mares, Hannes Mollenhauer, Ingo Völksch, and Sascha Oswald
Earth Syst. Sci. Data, 12, 2289–2309, https://doi.org/10.5194/essd-12-2289-2020,https://doi.org/10.5194/essd-12-2289-2020, 2020
A comprehensive dataset of vegetation states, fluxes of matter and energy, weather, agricultural management, and soil properties from intensively monitored crop sites in western Germany
Tim G. Reichenau, Wolfgang Korres, Marius Schmidt, Alexander Graf, Gerhard Welp, Nele Meyer, Anja Stadler, Cosimo Brogi, and Karl Schneider
Earth Syst. Sci. Data, 12, 2333–2364, https://doi.org/10.5194/essd-12-2333-2020,https://doi.org/10.5194/essd-12-2333-2020, 2020
The Eurasian Modern Pollen Database (EMPD), version 2
Basil A. S. Davis, Manuel Chevalier, Philipp Sommer, Vachel A. Carter, Walter Finsinger, Achille Mauri, Leanne N. Phelps, Marco Zanon, Roman Abegglen, Christine M. à kesson, Francisca Alba-Sánchez, R. Scott Anderson, Tatiana G. Antipina, Juliana R. Atanassova, Ruth Beer, Nina I. Belyanina, Tatiana A. Blyakharchuk, Olga K. Borisova, Elissaveta Bozilova, Galina Bukreeva, M. Jane Bunting, Eleonora Clò, Daniele Colombaroli, Nathalie Combourieu-Nebout, Stéphanie Desprat, Federico Di Rita, Morteza Djamali, Kevin J. Edwards, Patricia L. Fall, Angelica Feurdean, William Fletcher, Assunta Florenzano, Giulia Furlanetto, Emna Gaceur, Arsenii T. Galimov, Mariusz GaÅka, Iria GarcÃa-Moreiras, Thomas Giesecke, Roxana Grindean, Maria A. Guido, Irina G. Gvozdeva, Ulrike Herzschuh, Kari L. Hjelle, Sergey Ivanov, Susanne Jahns, Vlasta Jankovska, Gonzalo Jiménez-Moreno, Monika KarpiÅska-KoÅaczek, Ikuko Kitaba, Piotr KoÅaczek, Elena G. Lapteva, MaÅgorzata LataÅowa, Vincent Lebreton, Suzanne Leroy, Michelle Leydet, Darya A. Lopatina, José Antonio López-Sáez, André F. Lotter, Donatella Magri, Elena Marinova, Isabelle Matthias, Anastasia Mavridou, Anna Maria Mercuri, Jose Manuel Mesa-Fernández, Yuri A. Mikishin, Krystyna Milecka, Carlo Montanari, César Morales-Molino, Almut Mrotzek, Castor Muñoz Sobrino, Olga D. Naidina, Takeshi Nakagawa, Anne Birgitte Nielsen, Elena Y. Novenko, Sampson Panajiotidis, Nata K. Panova, Maria Papadopoulou, Heather S. Pardoe, Anna PÄdziszewska, Tatiana I. Petrenko, MarÃa J. Ramos-Román, Cesare Ravazzi, Manfred Rösch, Natalia Ryabogina, Silvia Sabariego Ruiz, J. Sakari Salonen, Tatyana V. Sapelko, James E. Schofield, Heikki Seppä, Lyudmila Shumilovskikh, Normunds Stivrins, Philipp Stojakowits, Helena Svobodova Svitavska, Joanna ÅwiÄta-Musznicka, Ioan Tantau, Willy Tinner, Kazimierz Tobolski, Spassimir Tonkov, Margarita Tsakiridou, Verushka Valsecchi, Oksana G. Zanina, and Marcelina Zimny
Earth Syst. Sci. Data, 12, 2423–2445, https://doi.org/10.5194/essd-12-2423-2020,https://doi.org/10.5194/essd-12-2423-2020, 2020
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The Eurasian Modern Pollen Database (EMPD) contains pollen counts and associated metadata for 8134 modern pollen samples from across the Eurasian region. The EMPD is part of, and complementary to, the European Pollen Database (EPD) which contains data on fossil pollen found in Late Quaternary sedimentary archives. The purpose of the EMPD is to provide calibration datasets and other data to support palaeoecological research on past climates and vegetation cover over the Quaternary period.
A uniform pCO2 climatology combining open and coastal oceans
Peter Landschützer, Goulven G. Laruelle, Alizee Roobaert, and Pierre Regnier
Earth Syst. Sci. Data, 12, 2537–2553, https://doi.org/10.5194/essd-12-2537-2020,https://doi.org/10.5194/essd-12-2537-2020, 2020
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In recent years, multiple estimates of the global air–sea CO2 flux emerged from upscaling shipboard pCO2 measurements. They are however limited to the open-ocean domain and do not consider the coastal ocean, i.e. a significant marine sink for CO2. We build towards an integrated pCO2 product that combines both the open-ocean and coastal-ocean domain and focus on the evaluation of the common overlap area of these products and how well the aquatic continuum is represented in the new climatology.
This article is included in the Encyclopedia of Geosciences
Half-hourly changes in intertidal temperature at nine wave-exposed locations along the Atlantic Canadian coast: a 5.5-year study
Ricardo A. Scrosati, Julius A. Ellrich, and Matthew J. Freeman
Earth Syst. Sci. Data, 12, 2695–2703, https://doi.org/10.5194/essd-12-2695-2020,https://doi.org/10.5194/essd-12-2695-2020, 2020
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We measured temperature every half hour during a period of 5.5 years (2014â2019) at nine wave-exposed rocky intertidal locations along the Atlantic coast of Nova Scotia, Canada. We summarize the main properties of this data set by focusing on location-wise values of daily maximum and minimum temperature and daily SST.
Bed topography of Princess Elizabeth Land in East Antarctica
Xiangbin Cui, Hafeez Jeofry, Jamin S. Greenbaum, Jingxue Guo, Lin Li, Laura E. Lindzey, Feras A. Habbal, Wei Wei, Duncan A. Young, Neil Ross, Mathieu Morlighem, Lenneke M. Jong, Jason L. Roberts, Donald D. Blankenship, Sun Bo, and Martin J. Siegert
Earth Syst. Sci. Data, 12, 2765–2774, https://doi.org/10.5194/essd-12-2765-2020,https://doi.org/10.5194/essd-12-2765-2020, 2020
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We present a topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL), East Antarctica. The DEM covers an area of approximately 900 000 km2 and was built from radio-echo sounding data collected in four campaigns since 2015. Previously, to generate the Bedmap2 topographic product, PELâs bed was characterised from low-resolution satellite gravity data across an otherwise large (>200 km wide) data-free zone.
Measurements of hydrodynamics, sediment, morphology and benthos on Ameland ebb-tidal delta and lower shoreface
Bram C. van Prooijen, Marion F. S. Tissier, Floris P. de Wit, Stuart G. Pearson, Laura B. Brakenhoff, Marcel C. G. van Maarseveen, Maarten van der Vegt, Jan-Willem Mol, Frank Kok, Harriette Holzhauer, Jebbe J. van der Werf, Tommer Vermaas, Matthijs Gawehn, Bart Grasmeijer, Edwin P. L. Elias, Pieter Koen Tonnon, Giorgio Santinelli, José A. A. AntolÃnez, Paul Lodewijk M. de Vet, Ad J. H. M. Reniers, Zheng Bing Wang, Cornelis den Heijer, Carola van Gelder-Maas, Rinse J. A. Wilmink, Cor A. Schipper, and Harry de Looff
Earth Syst. Sci. Data, 12, 2775–2786, https://doi.org/10.5194/essd-12-2775-2020,https://doi.org/10.5194/essd-12-2775-2020, 2020
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To protect the Dutch coastal zone, sand is nourished and disposed at strategic locations. Simple questions like where, how, how much and when to nourish the sand are not straightforward to answer. This is especially the case around the Wadden Sea islands where sediment transport pathways are complicated. Therefore, a large-scale field campaign has been carried out on the seaward side of Ameland Inlet. Sediment transport, hydrodynamics, morphology and fauna in the bed were measured.
A long-term (2005â2016) dataset of hourly integrated landâatmosphere interaction observations on the Tibetan Plateau
Yaoming Ma, Zeyong Hu, Zhipeng Xie, Weiqiang Ma, Binbin Wang, Xuelong Chen, Maoshan Li, Lei Zhong, Fanglin Sun, Lianglei Gu, Cunbo Han, Lang Zhang, Xin Liu, Zhangwei Ding, Genhou Sun, Shujin Wang, Yongjie Wang, and Zhongyan Wang
Earth Syst. Sci. Data, 12, 2937–2957, https://doi.org/10.5194/essd-12-2937-2020,https://doi.org/10.5194/essd-12-2937-2020, 2020
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In comparison with other terrestrial regions of the world, meteorological observations are scarce over the Tibetan Plateau. This has limited our understanding of the mechanisms underlying complex interactions between the different earth spheres with heterogeneous land surface conditions. The release of this continuous and long-term dataset with high temporal resolution is expected to facilitate broad multidisciplinary communities in understanding key processes on the Third Pole of the world.
An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets
Maialen Iturbide, José M. Gutiérrez, Lincoln M. Alves, JoaquÃn Bedia, Ruth Cerezo-Mota, Ezequiel Cimadevilla, Antonio S. Cofiño, Alejandro Di Luca, Sergio Henrique Faria, Irina V. Gorodetskaya, Mathias Hauser, Sixto Herrera, Kevin Hennessy, Helene T. Hewitt, Richard G. Jones, Svitlana Krakovska, Rodrigo Manzanas, Daniel MartÃnez-Castro, Gemma T. Narisma, Intan S. Nurhati, Izidine Pinto, Sonia I. Seneviratne, Bart van den Hurk, and Carolina S. Vera
Earth Syst. Sci. Data, 12, 2959–2970, https://doi.org/10.5194/essd-12-2959-2020,https://doi.org/10.5194/essd-12-2959-2020, 2020
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We present an update of the IPCC WGI reference regions used in AR5 for the synthesis of climate change information. This revision was guided by the basic principles of climatic consistency and model representativeness (in particular for the new CMIP6 simulations). We also present a new dataset of monthly CMIP5 and CMIP6 spatially aggregated information using the new reference regions and describe a worked example of how to use this dataset to inform regional climate change studies.
High-resolution mapping of circum-Antarctic landfast sea ice distribution, 2000â2018
Alexander D. Fraser, Robert A. Massom, Kay I. Ohshima, Sascha Willmes, Peter J. Kappes, Jessica Cartwright, and Richard Porter-Smith
Earth Syst. Sci. Data, 12, 2987–2999, https://doi.org/10.5194/essd-12-2987-2020,https://doi.org/10.5194/essd-12-2987-2020, 2020
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Landfast ice, or fast ice, is a form of sea ice which is mechanically fastened to stationary parts of the coast. Long-term and accurate knowledge of its extent around Antarctica is critical for understanding a number of important Antarctic coastal processes, yet no accurate, large-scale, long-term dataset of its extent has been available. We address this data gap with this new dataset compiled from satellite imagery, containing high-resolution maps of Antarctic fast ice from 2000 to 2018.
Element and radionuclide concentrations in soils and wildlife from forests in north-eastern England with a focus on species representative of the ICRP's Reference Animals and Plants
Catherine L. Barnett, Nicholas A. Beresford, Michael D. Wood, Maria Izquierdo, Lee A. Walker, and Ross Fawkes
Earth Syst. Sci. Data, 12, 3021–3038, https://doi.org/10.5194/essd-12-3021-2020,https://doi.org/10.5194/essd-12-3021-2020, 2020
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This paper describes data from a study conducted in 2015–2016 to sample terrestrial wildlife, soil and water from two forests in north-eastern England. Sampling was targeted towards species representative of the International Commission on Radiological Protectionâs (ICRP) terrestrial Reference Animals and Plants (RAPs): Wild Grass, Pine Tree, Earthworm, Bee, Rat, Deer and Frog. The dataset comprises stable-element and radionuclide activity concentrations.
High-resolution global atmospheric moisture connections from evaporation to precipitation
Obbe A. Tuinenburg, Jolanda J. E. Theeuwen, and Arie Staal
Earth Syst. Sci. Data, 12, 3177–3188, https://doi.org/10.5194/essd-12-3177-2020,https://doi.org/10.5194/essd-12-3177-2020, 2020
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We provide a global database of moisture flows through the atmosphere using the most recent ERA5 atmospheric reanalysis. Using this database, it is possible to determine where evaporation will rain out again. However, the reverse is also possible, to determine where precipitation originated from as evaporation. This dataset can be used to determine atmospheric moisture recycling rates and therefore how much water is lost for a catchment through the atmosphere.
Global Carbon Budget 2020
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Judith Hauck, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Corinne Le Quéré, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone Alin, Luiz E. O. C. Aragão, Almut Arneth, Vivek Arora, Nicholas R. Bates, Meike Becker, Alice Benoit-Cattin, Henry C. Bittig, Laurent Bopp, Selma Bultan, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Wiley Evans, Liesbeth Florentie, Piers M. Forster, Thomas Gasser, Marion Gehlen, Dennis Gilfillan, Thanos Gkritzalis, Luke Gregor, Nicolas Gruber, Ian Harris, Kerstin Hartung, Vanessa Haverd, Richard A. Houghton, Tatiana Ilyina, Atul K. Jain, Emilie Joetzjer, Koji Kadono, Etsushi Kato, Vassilis Kitidis, Jan Ivar Korsbakken, Peter Landschützer, Nathalie Lefèvre, Andrew Lenton, Sebastian Lienert, Zhu Liu, Danica Lombardozzi, Gregg Marland, Nicolas Metzl, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin O'Brien, Tsuneo Ono, Paul I. Palmer, Denis Pierrot, Benjamin Poulter, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Adam J. P. Smith, Adrienne J. Sutton, Toste Tanhua, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Guido van der Werf, Nicolas Vuichard, Anthony P. Walker, Rik Wanninkhof, Andrew J. Watson, David Willis, Andrew J. Wiltshire, Wenping Yuan, Xu Yue, and Sönke Zaehle
Earth Syst. Sci. Data, 12, 3269–3340, https://doi.org/10.5194/essd-12-3269-2020,https://doi.org/10.5194/essd-12-3269-2020, 2020
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The Global Carbon Budget 2020 describes the data sets and methodology used to quantify the emissions of carbon dioxide and their partitioning among the atmosphere, land, and ocean. These living data are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
A global mean sea surface temperature dataset for the Last Interglacial (129â116 ka) and contribution of thermal expansion to sea level change
Chris S. M. Turney, Richard T. Jones, Nicholas P. McKay, Erik van Sebille, Zoë A. Thomas, Claus-Dieter Hillenbrand, and Christopher J. Fogwill
Earth Syst. Sci. Data, 12, 3341–3356, https://doi.org/10.5194/essd-12-3341-2020,https://doi.org/10.5194/essd-12-3341-2020, 2020
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The Last Interglacial (129–116 ka) experienced global temperatures and sea levels higher than today. The direct contribution of warmer conditions to global sea level (thermosteric) are uncertain. We report a global network of sea surface temperatures. We find mean global annual temperature anomalies of 0.2 ± 0.1ËC and an early maximum peak of 0.9 ± 0.1ËC. Our reconstruction suggests warmer waters contributed on average 0.08 ± 0.1 m and a peak contribution of 0.39 ± 0.1 m to global sea level.
Data generated during the 2018 LAPSE-RATE campaign: an introduction and overview
Gijs de Boer, Adam Houston, Jamey Jacob, Phillip B. Chilson, Suzanne W. Smith, Brian Argrow, Dale Lawrence, Jack Elston, David Brus, Osku Kemppinen, Petra Klein, Julie K. Lundquist, Sean Waugh, Sean C. C. Bailey, Amy Frazier, Michael P. Sama, Christopher Crick, David Schmale III, James Pinto, Elizabeth A. Pillar-Little, Victoria Natalie, and Anders Jensen
Earth Syst. Sci. Data, 12, 3357–3366, https://doi.org/10.5194/essd-12-3357-2020,https://doi.org/10.5194/essd-12-3357-2020, 2020
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This paper provides an overview of the Lower Atmospheric Profiling Studies at Elevation – a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE) field campaign, held from 14 to 20 July 2018. This field campaign spanned a 1-week deployment to Colorado's San Luis Valley, involving over 100 students, scientists, engineers, pilots, and outreach coordinators. This overview paper provides insight into the campaign for a special issue focused on the datasets collected during LAPSE-RATE.
A decade of GOSAT Proxy satellite CH4 observations
Robert J. Parker, Alex Webb, Hartmut Boesch, Peter Somkuti, Rocio Barrio Guillo, Antonio Di Noia, Nikoleta Kalaitzi, Jasdeep S. Anand, Peter Bergamaschi, Frederic Chevallier, Paul I. Palmer, Liang Feng, Nicholas M. Deutscher, Dietrich G. Feist, David W. T. Griffith, Frank Hase, Rigel Kivi, Isamu Morino, Justus Notholt, Young-Suk Oh, Hirofumi Ohyama, Christof Petri, David F. Pollard, Coleen Roehl, Mahesh K. Sha, Kei Shiomi, Kimberly Strong, Ralf Sussmann, Yao Té, Voltaire A. Velazco, Thorsten Warneke, Paul O. Wennberg, and Debra Wunch
Earth Syst. Sci. Data, 12, 3383–3412, https://doi.org/10.5194/essd-12-3383-2020,https://doi.org/10.5194/essd-12-3383-2020, 2020
Short summary
Short summary
This work presents the latest release of the University of Leicester GOSAT methane data and acts as the definitive description of this dataset. We detail the processing, validation and evaluation involved in producing these data and highlight its many applications. With now over a decade of global atmospheric methane observations, this dataset has helped, and will continue to help, us better understand the global methane budget and investigate how it may respond to a future changing climate.
A global anthropogenic emission inventory of atmospheric pollutants from sector- and fuel-specific sources (1970â2017): an application of the Community Emissions Data System (CEDS)
Erin E. McDuffie, Steven J. Smith, Patrick O'Rourke, Kushal Tibrewal, Chandra Venkataraman, Eloise A. Marais, Bo Zheng, Monica Crippa, Michael Brauer, and Randall V. Martin
Earth Syst. Sci. Data, 12, 3413–3442, https://doi.org/10.5194/essd-12-3413-2020,https://doi.org/10.5194/essd-12-3413-2020, 2020
Short summary
Short summary
Global emission inventories are vital to understanding the impacts of air pollution on the environment, human health, and society. We update the open-source Community Emissions Data System (CEDS) to provide global gridded emissions of seven key air pollutants from 1970–2017 for 11 source sectors and multiple fuel types, including coal, solid biofuel, and liquid oil and natural gas. This dataset includes both monthly global gridded emissions and annual national totals.
Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring
Cheng Chen, Oleg Dubovik, David Fuertes, Pavel Litvinov, Tatyana Lapyonok, Anton Lopatin, Fabrice Ducos, Yevgeny Derimian, Maurice Herman, Didier Tanré, Lorraine A. Remer, Alexei Lyapustin, Andrew M. Sayer, Robert C. Levy, N. Christina Hsu, Jacques Descloitres, Lei Li, Benjamin Torres, Yana Karol, Milagros Herrera, Marcos Herreras, Michael Aspetsberger, Moritz Wanzenboeck, Lukas Bindreiter, Daniel Marth, Andreas Hangler, and Christian Federspiel
Earth Syst. Sci. Data, 12, 3573–3620, https://doi.org/10.5194/essd-12-3573-2020,https://doi.org/10.5194/essd-12-3573-2020, 2020
Short summary
Short summary
Aerosol products obtained from POLDER/PARASOL processed by the GRASP algorithm have been released. The entire archive of PARASOL/GRASP aerosol products is evaluated against AERONET and compared with MODIS (DT, DB and MAIAC), as well as PARASOL/Operational products. PARASOL/GRASP aerosol products provide spectral 443–1020 nm AOD correlating well with AERONET with a maximum bias of 0.02. Finally, GRASP shows capability to derive detailed spectral properties, including aerosol absorption.
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https://www.uncsa.edu/giving/campaign/impact-report.aspx
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Campaign Impact Report
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[
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"https://www.uncsa.edu/performances/img/events/2024/09/0924-emilynewton.jpg",
"https://www.uncsa.edu/performances/img/events/2024/09/0924-peter-laul.jpg",
"https://www.uncsa.edu/performances/img/events/2024/06/0624-candelight-taylor-swift.jpg",
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[
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Read about the impact of Powering Creativity: The Campaign for UNCSA - the university's largest fundraising effort in history.
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/favicon.ico
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https://www.uncsa.edu/giving/campaign/impact-report.aspx
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Five years ago, UNCSA began its first major fundraising campaign in decades. With a lead gift from beloved Chancellor Emeritus Alex Ewing, Powering Creativity began quietly in 2016.
Launched publicly in September 2019, the campaign was the most ambitious fundraising initiative in UNCSA history. With a goal of $65 million, it was poised to make a transformative impact on students, faculty, staff, and the wider community.
Thanks to the generosity of thousands of supporters, Powering Creativity soared past its goal, and the funds received are already hard at work, helping our emerging artists reach new creative heights.
VIEW THE CAMPAIGN IMPACT REPORT (PDF)
Powering Creativity Donor List
Alphabetical by last name
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https://m.imdb.com/title/tt0413573/fullcredits/cast
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Grey's Anatomy: Die jungen Ärzte (TV Series 2005– )
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[] |
[] |
[
""
] | null |
[] | null |
Grey's Anatomy: Die jungen Ärzte (TV Series 2005– ) “Cast” credits
|
en
|
IMDb
|
https://www.imdb.com/title/tt0413573/fullcredits
|
John Cappon
Paramedic #1 / John the Paramedic / Paramedic #2 / ND Paramedic / Paramedic / Paramedic 2 (11 episodes, 2005-2018)
Ariel Felix
Anesthesiologist / Anesthesiologist #1 / C.T. Booth Tech / CT Tech / Intern #1 (8 episodes, 2005-2015)
Kerry Carney
Intern #1 / Intern #2 / ND Resident (5 episodes, 2005-2008)
Carissa Kosta
E.R. Nurse / Nurse / O.R. Nurse / OR Nurse (4 episodes, 2010-2015)
Keeshan Giles
Intern #2 / Intern #3 / ND Resident #3 (3 episodes, 2005-2008)
David Pevsner
Examiner #2 / Jackson's Other Examiner (2 episodes, 2012)
Jim Lau
Examiner #4 / Meredith's Other Examiner (2 episodes, 2012)
Susan Ortiz
Cristina's Other Examiner / Examiner #3 (2 episodes, 2012)
Cathy Diane Tomlin
Alex's Other Examiner / Examiner #5 (2 episodes, 2012)
Alexis Carra
The Other Woman (1 episode, 2012)
Josh Fingerhut
Police Officer (1 episode, 2012)
Alex Salem
Paramedic #3 (1 episode, 2013)
Penelope Bragg
Kid in the park (1 episode, 2021)
Bruce M. Stockert
Doctor on Balcony / Man Watching Lecture / Man at Bar / Man at Hospital / Man in Wheelchair / Nurse / Patient in Coma (uncredited) (7 episodes, 2014-2019)
William Ngo
Groomsman #1 / Intern #4 (uncredited) (2 episodes, 2011-2013)
Leanna Tallmeister
Overdosing Patient / Woman at Accident (uncredited) (2 episodes, 2012)
Tommy Gerrits
Boy Who Lost Parents in a Car Accident (uncredited) (1 episode, 2007)
Serena Shen
The Sister of the Patient (uncredited) (1 episode, 2007)
Arne Starr
Man in OR Gallery (uncredited) (1 episode, 2009)
Ryan Robertson
Best Man (uncredited) (1 episode, 2013)
Kristin Daniel
Dancer #9 (uncredited) (1 episode, 2013)
Mariko Saito
Aerialist #2 (uncredited) (1 episode, 2013)
Elena Savko
Aerialist #1 (uncredited) (1 episode, 2013)
Alvin Cowan
Robber #2 (uncredited) (1 episode, 2014)
Nami Paix
City Official (uncredited) (1 episode, 2014)
Charles Irving Beale
Police Officer #2 (uncredited) (1 episode, 2015)
|
|||||
5407
|
dbpedia
|
2
| 26
|
https://mountaintrue.org/list-of-members/
|
en
|
List of Members (as of 8
|
[
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] |
[] |
[] |
[
""
] | null |
[] |
2017-09-27T20:05:13+00:00
|
en
|
MountainTrue
|
https://mountaintrue.org/list-of-members/
|
Abby Catoe
Able Allen
Adam Bean
Adam Bowers
Adams Baker
Adeline and David Talbot
Adeline and David Talbot
Adena Wygmans
Adrian Amabile
Adrianne Chang
Aiden and Harlan Carson
Aiden and Harlan Carson
Al Groelle
Alane Bartlett
Alendia Hartshorn
Alex Dale
Alice Dunbar
Alice Helms
Alice Lentz
Alice Sebrell
Alice Weldon
Alicia and Timothy Heacock
Alicia and Timothy Heacock
ALLAN ZULLO
Allegiant Freight Systems Inc.
Allen and Caroline Proctor
Allen and Caroline Proctor
Allen Lalor
Allison and George Glackin
Allison and George Glackin
Allison and Kincaid Mills
Allison and Kincaid Mills
Allison Norton-Rimron and Pat Rimron
Allison Norton-Rimron and Pat Rimron
Alys Campaigne
Alyson Browett and Chris Souhrada
Alyson Browett and Chris Souhrada
Amanda Fortner
Amanda Fulghum
Amanda Gladys
Amanda Hall and Robert Zeid
Amanda Hall and Robert Zeid
Amanda Miles-Graeter
Ameena Batada
Amos and Gail Dawson
Amos and Gail Dawson
Amy and Gil Nicolson
Amy and Gil Nicolson
Amy and John Ende
Amy and John Ende
Amy and Josh Finkler
Amy and Josh Finkler
Amy Boggan
Amy Carlson
Amy Dahan
Amy Lloyd
Amy Lynch
Andrea Debevoise
Andrea Hunter
Andrea Lowrance and Keith Vernall
Andrea Lowrance and Keith Vernall
Andrew Bridges
Andrew Gordon
Andrew Hoxie
Andrew Pardue
Andrews Valley Rail Tours
Andy Hill and Bettie McKemie-Hill
Andy Hill and Bettie McKemie-Hill
Ann Cyphers
Ann Kieffer
Ann Mazzullo
Ann Perry
Ann Taaffe
Ann Twiggs
Ann Wood
Ann Wood
Anna Nagy
Anna Shine
Anne and Chris Barker
Anne and Chris Barker
Anne and Jim Stokely
Anne and Jim Stokely
Anne and Marshall McLaughlin
Anne and Marshall McLaughlin
Anne Harper
Anne Ledbetter and Steve Houghton
Anne Moncus
Anne Senechal
Annette and Robert Hudson
Annette and Robert Hudson
Annette Mayfield
Annette Mayfield
Appalachian Veterinary Ultrasound
Arlene and Stuart Andrews
Arlene and Stuart Andrews
Art and Penny Kiser
Art and Penny Kiser
Arthur Mandler and Sarah Tambor
Arthur Mandler and Sarah Tambor
Ashe Compton
Ashemont Title
Asheville Friends
Asheville Mushroom Club ATTN Laurie Jaegers
Ashley and Robert Scott McNeely
Ashley and Robert Scott McNeely
Ashley Carr
ashley edwards
Aulick Engineering, LLC
Austin Hill
Ava Bock
Babette Dunn
Bailey Reynolds
Barbara Conrad
Barbara Engle
Barbara Fish
Barbara G. Fant
Barbara Hamrick
Barbara Hinton
Barbara Joshi
Barbara Phelan and Carol Reed
Barbara Phelan and Carol Reed
Barbara Sloss
Barbara Tornholm
Barbara Volk
Barbara Zimmerman
Barry and Lois Ostrow
Barry Campbell
Barry Cheney and Jeanne Abbott
Barry Fox
Barry Marshall
Becky and Pat Stone
Becky and Pat Stone
Beech Mountain Ski Resort ATTN Ryan Costin
Ben Owens and Hygie Starr
Ben Owens and Hygie Starr
Ben Trotter
Ben Weaver
Bernard Sroka
Bernie and Holly Arghiere
Bernie and Holly Arghiere
Bernie and Sandy Byrne
Bernie and Sandy Byrne
Bernise Lynch
Berry Shepherd
Beth Cook
Beth Griffin
Beth Pensiero
Bethany Chaney
Betty and Rick Douglas
Betty and Rick Douglas
Bev and Phil Dratz
Bill and Beth Cameron
Bill and Beth Cameron
Bill and Frances Smyth
Bill and Frances Smyth
Bill and Leah Horton
Bill and Leah Horton
Bill and Liz Hickok
Bill and Liz Hickok
Bill and Marion Moore
Bill and Marion Moore
Bill and Nancy McCullough
Bill and Nancy McCullough
Bill and Sue White
Bill and Sue White
Bill and Terri Carpenter
Bill and Terri Carpenter
Bill Boyum
Bill Breedlove
Bill Brightman
Bill Frist
Bill Moore
Biz Hub
Blair Justice
Blowing Rock Art & History Museum
Bob and Carrie Wagner
Bob and Carrie Wagner
Bob and Caryn Hanna
Bob and Eileen Elkin
Bob and Eileen Elkin
Bob and Geeta McGahey
Bob and Geeta McGahey
Bob and Jane Trotman
Bob and Jane Trotman
Bob and Judy Grove
Bob and Judy Grove
Bob and Julie Johnson
Bob and Julie Johnson
Bob and Martha Adams
Bob and Martha Adams
Bob and Meredith Stroud
Bob and Meredith Stroud
Bob and Pam Gale
Bob and Pam Gale
Bob Chapin
Bob Chapin
Bob Tobey
Bob Tobey
Bob Wykle
Bonny Herman
Boundary Waters Resort & Marina ATTN Kevin Clem
Brad and Bobbi Allen
Brad and Bobbi Allen
Brad and Shelli Stanback
Brad and Shelli Stanback
Brad Esposito
Brenda and Fred Denton
Brenda and Fred Denton
Brenda Hull
Brenda Worley
Brian and Maryjane Hunter
Brian and Maryjane Hunter
Brian and Stephanie Preston
Brian and Stephanie Preston
Brian Caffrey and Deborah Porto
Brian Caffrey and Deborah Porto
Brian Mateer
Brian Murphy
Brian Scott
Brian Stevenson
Bridget Dunford and Janet Bertinuson
Bridget Dunford and Janet Bertinuson
Brigitte Taylor
Brittany Maness
Brooke Adams
Brooks-Howell Home
Brown Dog Studio ATTN Dale and Wendy McEntire
Brown Haven Homes
Bruce and Cynthia Johnson
Bruce and Cynthia Johnson
Bruce and Day Ann Emory
Bruce and Day Ann Emory
Bruce Bente
Bruce Hughes and Nancy Kirkland
Bruce Hughes and Nancy Kirkland
Bruce Kelly and Robin Cape
Bruce Roberts
Bruce Whelchel
Bryan Fiveash
Buck and Nancy Bragg
Buffy B. Burge
Caitlin Hay
Caleb Pusey
Caley Bowman
Callie and Philip Moore
Callie and Philip Moore
Callie Hnilica
Carl and Jean Franklin
Carl Sigel
Carl Woermann
Carleton Collins
Carlton and Carol Craig
Carlton and Carol Craig
Carol and Bo Perry
Carol and Bo Perry
Carol and David Swing
Carol and David Swing
Carol and Jim Hillegas
Carol and Jim Hillegas
Carol and Jo Ellen Wade-Diamond
Carol and Jo Ellen Wade-Diamond
Carol and Mark McCall
Carol and Mark McCall
Carol and Robert Cannon
Carol and William Falender
Carol and William Falender
Carol Cherry
carol greenspan
Carol Logan Thompson
Carol Long
Carol Marty
Carol Perine
Carol Query and Julie Brown
Carol Query and Julie Brown
Carol Roberson
Carol Schobert
Carol Stephenson
Carolanna and David Rikard
Carolanna and David Rikard
Caroline and Brian Green
Caroline and Brian Green
Caroline and Paul Stahlschmidt
Caroline and Paul Stahlschmidt
Carolyn Appen
Carolyn Hill
Carolyn Lewellen and Ron Coates
Carolyn Lewellen and Ron Coates
Carrie Blair
Carro Gardner
Cat Potts and Marc Hunt
Cat Potts and Marc Hunt
Catherine Fodi
Catherine Joyner and Bil Stahl
Catherine Joyner and Bil Stahl
Catherine Shanks and John Williams
Catherine Shanks and John Williams
Cathy and Ed Stevens
Cathy and Ed Stevens
Cathy Bennett
Cathy Eising
Cathy Keith
Cathy Lacienski
Cathy Scott and Phil Jamison
Cathy Scott and Phil Jamison
Cee Jaye and John Pecorak
Cee Jaye and John Pecorak
Central United Methodist Church of Asheville, Inc.
Charles Baker
Charles Breckheimer and Sandra Schorr
Charles Breckheimer and Sandra Schorr
Charles Hooker
Charles Huang
Charles Jansen
Charles Vodicka
Charlie and Rachel Swor
Charlie and Rachel Swor
Charlie Clogston
Charlotte Taylor
Charlotte Watson
chas fitzgerald
Chase and Clary Pickering
Chase and Clary Pickering
cheryl Fultz
Cheryl Watson
chloe smith
Chris and Amanda Buchanan
Chris and Amanda Buchanan
Chris Joyell and Nicole Martinez
Chris Joyell and Nicole Martinez
Christina and Michael Shaffer
Christina and Michael Shaffer
Christina Sierra
Christine Rye
Christine Westfeldt
Christopher Berg
Christopher Bohrer
Christopher Brownlee
Christopher Larson
Christopher Yates
cinda chima
Cindy Ann Bowers
Cindy Koerber
Cindy Powers
Circle Of Mercy Congregation
Clair Quenzler
Claire Brothers
Claire Goulthorpe and Tim Fitzsimons
Claire Mackler
Clare Ryan
Claudia and Mike Nix
Claudia and Mike Nix
Claudia Cady and Boone Guyton
Clay Farmers Exchange Builder’s Supply Inc
Clementine Gregory
Cliff Kevill
Climate Conversation Group
Coleman McCleneghan
Communities for Older Adult Health (COAH)
Congregational Church UCC Tryon
Connie and Don Cooper
Connie and Don Cooper
Connie de Haan
connie falcone
Connie Lomax
Connor Lewis
Constance Knight and Richard Johnson
Constance Knight and Richard Johnson
Corrie Woods
Craig and Terri Pendergrast
Craig and Terri Pendergrast
Craig Weaver
Crystal Biasi
Cullowhee UMC
Curt Crowhurst and Cindy Causby
Curt Crowhurst and Cindy Causby
Curtis Czajkoski
Curtis Newkirk
Cyndy Douglas
Cynthia and Roger Hatfield
Cynthia and Roger Hatfield
Cynthia Curro
Cynthia Schumacher
Cynthia Simonds
Cynthia Van deusen
Daddy Joe’s Inc
Dakota Wagner
Dale and Rose Haning
Dale and Rose Haning
Dale and Wendy McEntire
Dale and Wendy McEntire
Dale Baumann
Damien Vacaflor
Dan and Barbara Gerber
Dan and Barbara Gerber
Dan and Sue Goff
Dan and Sue Goff
Dan Frese
Dana Vannoy
Dane and Cynthia Barrager
Daniel Clelland and Chelsea Perez
Daniel Clelland and Chelsea Perez
Daniel Clover
Daniel Fields
Darlene Musso
Darlyne Sahara
Darren and Steph Monson Dahl
Darren and Steph Monson Dahl
Darry and Barbara Wood
Darry and Barbara Wood
Dave and Becky Rubin
Dave and Becky Rubin
Dave and Ellen Nutter
Dave and Julia Ralston
Dave and Julia Ralston
Dave Schroeder
David A Cottongim
David Alsobrook
David and Debra Herman
David and Debra Herman
David and Dillon Manly
David and Dillon Manly
David and Laura Bourne
David and Laura Bourne
David and Mary Evers
David and Mary Evers
David and Sydney Atkinson
David and Virginia Derryberry
David and Virginia Derryberry
David b Waldrop
David Beerbower
David Bryan
David Clarke
David Cohen
David George
David Goldhagen
David Jarjoura
David Marshall
David Martin
David Matz and Janet Hurley
David Matz and Janet Hurley
David Mickey
David Moore
David Newman
David Reid
David Slobodin and Jane Fant
David Slobodin and Jane Fant
Dawn Jernigan
Dawn Jernigan
Dawn Larson
Dawn Mathews
Daymian Snowden
Deb Edwards
Debbie Schram
Debi Treleaven
Deborah Acs
Deborah and Mark Lassiter
Deborah and Mark Lassiter
Deborah Osborne
Deborah Rubin
Debra Mulvey
Deidre Duffy and Michael Kohnle
Deidre Duffy and Michael Kohnle
Dennis and Jan Wencel
Dennis Desmond
Dennis Huntley
Derek Eggers
Derrick Swing
Diana Donovan
diane bauknight
Diane Bowers
Diane DeWitt
Diane Hankins
Diane Huey
Diane Kent
Diane Mooney
Diane Silver
Diane Wallace
Dianne and Ken Prohn
Dianne and Ken Prohn
Dianne Brown
Dick and Marcia Aunspaugh
Dick and Marcia Aunspaugh
Diego Dos Santos
Dina miller
Don and Steve Turman
Don and Steve Turman
Don Clapp and Patty Martin
Don Clapp and Patty Martin
Don Kraus
Donald Barnett and Charlotte Lackey
Donald Barnett and Charlotte Lackey
Donna and Scott Milam
Donna and Scott Milam
Donna Lisenby and Nita O’Brien
Donna Lisenby and Nita O’Brien
Donna Nelson
Donna Papazian
Dorene O’Malley
Dorothy Hemming
Doug and Pat Williams
Doug and Pat Williams
Doug Elliott
Douglas Dearth
Douglas Gates
Duncan McPherson
Earl Booze
Ed and Leslie Hillman
Ed and Leslie Hillman
Ed Prestemon
Ed Wolfe
Eileen Gertz
Elaine Carlton
Elaine Clamser
Elaine Ferguson
Elaine Russell
Elaine Shields
Elaine Smith
Eleanor and Peter B. Mockridge
Eleanor Johnson
Eleanor McCormac
Elizabeth and Matt Henry
Elizabeth and Matt Henry
Elizabeth Eckl
elizabeth malloy
Elizabeth Martin Homes
Elizabeth Nelson
Elizabeth Porter
Elizabeth Tweedy
Ella Castro-Crawford
Ellen and David Feingold
Ellen and David Feingold
Ellen and Kevin Burnette
Ellen and Kevin Burnette
Ellen and Mark Starkman
Ellen and Mark Starkman
Ellen Carr
Ellen Foltz
Ellen Tucker
Eloise Bradham
Emery Conard
Emil Revala
Emily Brinker
Emily R. Burns
Enotah Garden Club
Enrique and Norie Sanchez
Enrique and Norie Sanchez
Environmental Design
Episcopal Church of the Transfiguration Rev. Chip Broadfoot
Equinox Environmental- ATTN David Tuch
Eric Robbins
Erica Witsell
Erin and Joel McCombs
Erin and Joel McCombs
Erin Sebelius
ernie showfety
Esther Pardue
Esther Pardue
Eva Humphrey
Eva Rand
Evelyn and Richard Coltman
Evelyn Fay
Evelyn Fay
Evelyn Lyles
Evelyn Taylor
Faye Goodwyn
FernCrest Winery ATTN Jan Olson
First Baptist Church Of Asheville
First Christian Church
First Multiple Listing Service, Inc.
First Presbyterian Church Asheville
First United Methodist Church
Florence and Charles Quinzel
Florence and Charles Quinzel
Frank and Ginger Kirby
Frank and Ginger Kirby
Frank and Michelle Maloney
Frank and Michelle Maloney
Frank and Susan Landis
Frank and Susan Landis
Frank Bell
Frank Goldsmith
Frank Kulbertis and Jeanne Winter
Frank Rogers-Witte
Frank Shea
Fred and Alice Stanback
Fred and Alice Stanback
Fred and Jean Macon
Fred Crawford
Freda Smith
Freedom Boat Club at The Ridges Resort
G. Michael Breidenstein
gabriele marewski
gabriele rainey
Galen and Rachel Kipar
Galen and Rachel Kipar
Galen Marshall-Clark
Garrett Payne
Gary Allen
Gary and Charlotte Morgan
Gary and Charlotte Morgan
Gary Coleman
Gary Harden
Gary Jordan and Shirley Phillips
Gary Jordan and Shirley Phillips
gary kopacka
Gary VanDoren and Carol Van Doren
Gary VanDoren and Carol Van Doren
Gay Ann Deamer
Ged Moody
Gena Mente
George and Sue Tregay
George and Sue Tregay
George Austin
George DeWalder
Georgena Millar
Georgia and John Case
Georgia and John Case
Gerald and Mary Hardvall
Gerald and Mary Hardvall
Geri Conley
Gerrie Zimmer
Gerry and Ray Larson
Gerry and Ray Larson
Get Outside WNC
Gillian and Dick Heywood
Gillian and Dick Heywood
Gillian Tart
Glen Cutting
Glenda Geddings
Glenn and Liz Peterson
Glenn and Liz Peterson
Glenn and Lynne Dulken
Glenn and Lynne Dulken
Glenn and Patti Liming
Glenn and Patti Liming
Glenn Lange
Gloria and Wilbert Griffith
Gloria and Wilbert Griffith
Gloria Jaffe
Grace Church in the Mountains
Grace Findley
Gracie and Chuck Bowling
Gracie and Chuck Bowling
Grady and Kathleen Nance
Grady and Kathleen Nance
Grady McCallie
Grail Moviehouse
Gray and Carly Jernigan
Gray and Carly Jernigan
Green Race
Green River Adventures ATTN Tim and Sara Bell
Greer Gunby
Greg and Susanne Walker Wilson
Greg and Susanne Walker Wilson
Greg Borom and Cynthia Shealy
Greg Borom and Cynthia Shealy
Greg Kidd and Susan Sachs
Greg Kidd and Susan Sachs
Gregg Keeley
Gregory and Audra Holden
Gregory and Audra Holden
Greta Bush
Gretchen Henn
Greysen Motley
Guy Sayles
gwendolynne smith-kerr
HANNE MISKA and Glen Miska
HANNE MISKA and Glen Miska
Hans Herrmann
Harli and Fred Palme
Harli and Fred Palme
Harold T. Southern
Harry and Desna Jarrett
Harry and Desna Jarrett
Harry and Holly Jones
Harry and Holly Jones
Harry Norris
Hayesville Yacht Club
Heather Brown
HEATHER JONES
Heather Stewart
Hedy Fischer and Randy Shull
Hedy Fischer and Randy Shull
Heidi and Dan Koester
Heidi and Dan Koester
Heidi and Marshall Fields
Heidi and Marshall Fields
Heidi Swann
Helen Harmon
Helen Mcswain
Henry and Sandra Sibley
Herman and Gail Lankford
Herman and Gail Lankford
Herman M. Felder
Hildy Teegen and David Adoff
Hildy Teegen and David Adoff
Hin Tse
Holly Beveridge
Holly Demuth
Holly Jordan
Holly Roberts
Howard and Diane Williams
Howard Latty
Howard Waxman
Hunter Varipapa
Impeccable Lending
Ingrid Adelsbach
Integrated Financial Group Wealth Management
Ivor and Lynn Groves
Ivor and Lynn Groves
Jaan Ferree and John Huie
Jaan Ferree and John Huie
Jack and Barb Harrison
Jack and Barb Harrison
Jack and Linda Grup
Jack and Linda Grup
Jack and Maxine Dalton
Jack Parker
Jack Smoot and Sarah Blankenship
Jack Smoot and Sarah Blankenship
Jackie Baertschi
Jaime Morehead
Jake and Bonnie McLean
Jake and Bonnie McLean
James and Beverly Carroll
James and Beverly Carroll
James and Cindy DeGrave
James and Cindy DeGrave
James and Patty Frankfort
James and Patty Frankfort
James and Susan Williams
James and Susan Williams
James Beyer
James Kantor
James Sacco
James Simons and Cathy Hale
James Simons and Cathy Hale
Jamie Fish
Jamie Gilmore
Jamie Wine
Jan and Gary Allen
Jan and Gary Allen
Jan and Kurt Olson
Jan and Kurt Olson
Jan and Nanette Davidson
Jan and Nanette Davidson
Jan and Richard Hildebrand
Jan and Richard Hildebrand
Jan Letendre
Jan Wilson
Jane and Peter Roda
Jane and Peter Roda
Jane Harrison
Jane Kennedy
Jane Kniffin
Jane Laping
Jane Lawson and John Myers
Jane Lawson and John Myers
Jane Margaret Bell
Jane Schroeder
Jane Williams
Janet and Bob Clark
Janet and Bob Clark
Janet and Mark Thew
Janet and Mark Thew
Janet Belleme
Janet Doellgast
Janet Imig
Janet Kilby and Barry Carpenter
Janet Kilby and Barry Carpenter
Janice and Frank Layne
Janice and Frank Layne
Jason and Angela Merchey
Jason and Angela Merchey
Jason and Cathy Chambers
Jason and Cathy Chambers
Jason and Jennifer Love
Jason and Jennifer Love
Jason Ferrell
Jason Huddlestun
Jason Stiefel
Jay Alsaadi
Jay and Jennifer Mills
Jay and Jennifer Mills
Jay Hawthorne
Jay Naparstek
Jay Womack
Jean and Allan Brown
Jean Ann Wheelock
Jean E. Alexander
Jean Norris and Bluford Hestir
Jean Norris and Bluford Hestir
Jeanette Wyatt
Jeanne Cummings
Jeanne Odom
Jeanne Sprott
Jeannette and Robert Cannon
Jeannette and Robert Cannon
Jeannette Evans
Jeannie Cochran
Jeff and Elizabeth Jennings
Jeff and Elizabeth Jennings
Jeff and Janet Dektor
Jeff and Janet Dektor
Jeff and Marci Sabatula
Jeff and Marci Sabatula
Jeffery and Randi Neff
Jeffery and Randi Neff
Jeffrey Kirsch
Jennie Deal
Jennifer Cambrook
Jennifer Greba
Jennifer Mullendore
Jennifer Rish
Jennifer W Cragg
Jenny Poteat
Jerome Glassman
Jerome Hay and Judy Beck
Jerome Hay and Judy Beck
Jerome Long
Jerry and Betty Anderson
Jerry and Betty Anderson
Jerry Parker
Jesse and Lindsay Miller
Jesse and Lindsay Miller
Jessica Ashburn
Jessica Blackburn
Jessica Brown
Jessica Ingram
Jessie Shinn
Jill Grodi
Jill Heishman
Jill Long
Jill Yager
Jim and Beth Carson
Jim and Celeste Tolbert
Jim and Celeste Tolbert
Jim and Debbie Ebert
Jim and Debbie Ebert
Jim and Diane Abbott
Jim and Diane Abbott
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Joy Lew and Vance Mullis
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Joyce and Tom Young
JR Whitley
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Jubilee! Community Church ATTN Jackie Dobrinska
Jud and Kimberley Handley
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2017-08-18T08:30:48+00:00
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S.J. (Simone) KennedyDoornbos (born 19 December 1970 in Kampen) is a Dutch politician of the ChristianUnion (ChristenUnie). She is also a tour operator and former translator. KennedyDoornbos has been a member of the municipal council of Amersfoort since April 2006, succeeding Hans van Daalen who h
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en
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/favicon.ico
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Alchetron.com
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https://alchetron.com/Simone-Kennedy-Doornbos
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Local political activities
Kennedy-Doornbos has been a member of the municipal council of Amersfoort since April 2006, succeeding Hans van Daalen who had become an alderman. In January 2011 she succeeded Menno Tigelaar as ChristianUnion fraction leader, who had also been chosen as an alderman. She focuses on matters of finance, economics, culture, mass media, tourism and the Bergkwartier, Leusderkwartier, Liendert and Rustenburg quarters.
In the past she was list puller for the Reformed Political League (Gereformeerd Politiek Verbond) in the municipal election of 1994 of the city of Amsterdam.
National political activities
She has been a member of the trustee of the ChristianUnion think tank since 2004 and was participating in the ChristianUnion election manifesto committee for the general election of 2006 and the general election of 2010. In May 2011 she was a high-ranked candidate for the Senate election, but just missed a seat.
Other activities
Kennedy-Doornbos studied biology at the University of Amsterdam. From 1994 to 2003 she lived in the United States, where she worked at an American travel agency called Eurotrail and as a translator at the A. C. Van Raalte Institute of Hope College. Since her return to the Netherlands she is working on a freelance basis for Eurotrail.
Personal life
She is married to American historian James Kennedy, a Dutch history professor at the University of Amsterdam, and like her husband belongs to the Reformed Churches in the Netherlands (Liberated).
Awards
Dutch councillor of the year 2009
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Simone Kennedy Doornbos
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2017-08-18T08:30:48+00:00
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S.J. (Simone) KennedyDoornbos (born 19 December 1970 in Kampen) is a Dutch politician of the ChristianUnion (ChristenUnie). She is also a tour operator and former translator. KennedyDoornbos has been a member of the municipal council of Amersfoort since April 2006, succeeding Hans van Daalen who h
|
en
|
/favicon.ico
|
Alchetron.com
|
https://alchetron.com/Simone-Kennedy-Doornbos
|
Local political activities
Kennedy-Doornbos has been a member of the municipal council of Amersfoort since April 2006, succeeding Hans van Daalen who had become an alderman. In January 2011 she succeeded Menno Tigelaar as ChristianUnion fraction leader, who had also been chosen as an alderman. She focuses on matters of finance, economics, culture, mass media, tourism and the Bergkwartier, Leusderkwartier, Liendert and Rustenburg quarters.
In the past she was list puller for the Reformed Political League (Gereformeerd Politiek Verbond) in the municipal election of 1994 of the city of Amsterdam.
National political activities
She has been a member of the trustee of the ChristianUnion think tank since 2004 and was participating in the ChristianUnion election manifesto committee for the general election of 2006 and the general election of 2010. In May 2011 she was a high-ranked candidate for the Senate election, but just missed a seat.
Other activities
Kennedy-Doornbos studied biology at the University of Amsterdam. From 1994 to 2003 she lived in the United States, where she worked at an American travel agency called Eurotrail and as a translator at the A. C. Van Raalte Institute of Hope College. Since her return to the Netherlands she is working on a freelance basis for Eurotrail.
Personal life
She is married to American historian James Kennedy, a Dutch history professor at the University of Amsterdam, and like her husband belongs to the Reformed Churches in the Netherlands (Liberated).
Awards
Dutch councillor of the year 2009
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https://issuu.com/cnla/docs/2009-cnla-membership-directory-with-web-links-redu
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2009 CNLA Membership Directory
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2009-09-09T00:00:00+00:00
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discover the power of associations proud sponsor CNLA Membership Directory 1 proud sponsor discover the power of associations
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https://issuu.com/cnla/docs/2009-cnla-membership-directory-with-web-links-redu
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Welcome to Issuu’s blog: home to product news, tips, resources, interviews (and more) related to content marketing and publishing.
Here you'll find an answer to your question.
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US soldiers killed in Jordan drone strike identified as colleagues from same Georgia unit: ‘Will be missed’
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2024-01-29T00:00:00
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Sgt. William Rivers, 46, of Carrollton, Spc. Brianna Moffatt, 23, of Savannah, and Spc. Kennedy Ladon Sanders, 24, of Waycross were slain in the Saturday night attack by Iranian-backed militants on a small outpost near the Syrian border.
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New York Post
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https://nypost.com/2024/01/29/news/kennedy-ladon-sanders-idd-as-us-soldier-killed-in-jordan-drone-strike/
|
The three US service members killed in the weekend drone attack in Jordan were identified Monday as a decorated sergeant, a woman hoping to return home in June and a daughter whose mom called her an “angel.”
The tragic trio were all Georgia residents from the same military unit, officials said.
Sgt. William Rivers, 46, of Carrollton, Spc. Brianna Moffatt, 23, of Savannah, and Spc. Kennedy Ladon Sanders, 24, of Waycross were slain in the Saturday night attack by Iranian-backed militants on a small outpost near the Syrian border.
“All of these different things that she had plans for, you know, were just cut short in the blink of an eye,” Sanders’ weeping mother, Oneida, told the Washington Post. “I just feel like somebody like her, that’s so full of life, it’s just unfair that she’ll never get to realize those dreams that she had.”
Kennedy’s father, Shawn Sanders, a Marine veteran who affectionately called his daughter “Munchkin,” said the family was working on a plan to celebrate her return from the Middle East come June when they were informed of her death.
The heartbroken parents described their daughter as a hardworking young woman who helped coach local soccer and basketball teams and worked at a pharmacy while studying to be an X-ray technician.
Oneida added that Kennedy had plans to become a full-time Army soldier and was also studying Italian in hopes of visiting Italy once her service had concluded.
Kennedy was the first of the killed soldiers to be identified Monday.
“Our family would like to thank you for the respect given to Kennedy. Munchkin will be missed by many,” her father wrote in a Facebook post announcing her death.
Flags in Waycross were flying at half-staff Monday for Kennedy, her family said — and Mayor Michael-Angelo James plans to hold an honorary service when her body is returned home, WTOC reported.
The three slain service members served in the 718th Engineer Company, the 926th Engineer Battalion, and the 926th Engineer Brigade, based out of Fort Moore in Georgia.
They were killed when the armed drone hit their housing unit, US officials said.
Moffett’s mother Regina said news of her daughter’s death marked “one of the saddest days of my life.
“With a heavy heart I have to say that my Angel my first born has going on to be with GOD today,” the mom wrote over the weekend on Facebook.
“The pain will never go away and my life is forever changed. I will never get to cook your favorite food, we will never get to talk on the phone and I will never see you walk through my front door again,” she said.
“A piece of my heart and soul will always be missing,” the mom said.
“Love you Baby Girl. Rest Easy. Always will be my first born.”
Rivers had enlisted in the Army Reserves in 2011 as an Interior Electrician and had served nine months in Iraq in 2018 during Operation Inherent Resolve.
The US Army Reserve Command touted him as a decorated sergeant who had received a slew of honors, including the National Defense Service Medal, Global War on Terrorism Service Medal, the Inherent Resolve Campaign Medal with Campaign Star and other medals.
“On behalf of the Army Reserve, I share in the sorrow felt by their friends, family, and loved ones,” said Lt. Gen. Jody Daniels, Chief of the Army Reserve. “Their service and sacrifice will not be forgotten, and we are committed to supporting those left behind in the wake of this tragedy.”
Georgia Gov. Brian Kemp noted in an emotional statement that the three dead were all from the Peach State.
“Marty, the girls, and I are all saddened to learn of the deaths of three service members based out of Georgia,” the governor said, referring to his family. “These soldiers gave the last full measure of devotion in service to this country.
“This inexcusable loss of life and the attack from terrorists that resulted in these casualties is a reminder of why we stand with the friends of liberty. The entire Kemp family asks that Georgians everywhere join us in keeping the loved ones of those lost in this attack in our thoughts and prayers in the days ahead.”
The weekend assault happened at a remote base in northeastern Jordan and marked the first American fatalities from enemy fire in the region since US troops were placed on high alert after Hamas’ October 7 attack on Israel.
The drone assault also was the deadliest attack on US troops in the Middle East since an ISIS bomb killed four American soldiers in 2019.
President Biden was quick to blame Iran, which also backs Hamas, for the attacks — and vowed that the US would “respond.
“While we are still gathering the facts of this attack, we know it was carried out by radical Iran-backed militant groups operating in Syria and Iran,” the president said after the strike.
About 34 American service members also were injured, with an unknown number of them identified as members of the Arizona National Guard, who have been deployed in Jordan since September, according to FOX 10.
“Arizona National Guardsmen were identified to be in the area during the January 27th unmanned aerial drone attack in northeast Jordan, near the Syria border,” the Arizona National Guard said in a statement.
“Facts of this attack are still being collected and it is unknown at this time how many Arizona service members were impacted.”
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2016-12-24T00:00:00
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Our panelists predict what will be the hot Christmas toy next year.
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NPR
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https://www.npr.org/2016/12/24/506766013/prediction
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PETER SAGAL, HOST:
In just a minute, we're going to ask our panelists to predict what will be the big must-have toy in the Christmas of 2017. But first, let me tell you all that support for NPR comes from NPR stations and Ballard Spahr, a national law firm providing services in litigation, compliance and transactions to clients across industries, assessing the impact of national events and legal developments to keep clients informed. Learn more at ballardspahr.com.
The Rita Allen Foundation, investing in transformative ideas to promote breakthrough solutions to significant problems. Learn more at ritaallen.org. And The Gilchrist Foundation supporting NPR's enduring commitment to making music, arts and culture accessible to audiences in the Midwest and across America. More information is available at thegilchristfoundation.org.
WAIT WAIT... DON'T TELL ME is a production of NPR and WBEZ Chicago, in association with Urgent Haircut Productions. Doug Berman - benevolent overlord. Philipp Goedicke writes our limericks. Our house manager is Don Hall. Our assistant house manager is Tyler Greene. Our web guru is Beth Novey. Special thanks to the crew at Chase Bank. BJ Leiderman composed our theme.
Our program is produced by Robin Linn and Miles Doornbos. Thanks this week to Candace Mittel and Jennifer Mills. Technical direction is from Lorna White. Our CFO, that's Ann Nguyen. Our production coordinator is Robert Neuhaus. Our senior producer is Ian Chillag. And the executive producer of WAIT WAIT... DON'T TELL ME is Michael Danforth. Now, panel, what will be the big Christmas toy next year? Brian Babylon.
BRIAN BABYLON: It's going to be the Fisher-Price artisanal opium den.
(LAUGHTER)
SAGAL: Amy Dickinson.
AMY DICKINSON: Seeing the state of education in this country, Hasbro has come out with a new board game. It's called connect two.
(LAUGHTER)
SAGAL: And Adam Felber.
ADAM FELBER: Well, given the way things are going, it'll be nuclear holocaust survivor Barbie. Mutant Ken and remnants of Barbie Dreamhouse not included.
BILL KURTIS: And if any of that happens, panel, we'll ask you about it on WAIT WAIT... DON'T TELL ME.
SAGAL: Thank you, Bill Kurtis. Thanks also to Brian Babylon, Amy Dickinson and Adam Felber. Thanks to all of you for listening. I am Peter Sagal.
(APPLAUSE)
SAGAL: We'll see you next week, folks.
(APPLAUSE)
SAGAL: This is NPR.
Copyright © 2016 NPR. All rights reserved. Visit our website terms of use and permissions pages at www.npr.org for further information.
NPR transcripts are created on a rush deadline by an NPR contractor. This text may not be in its final form and may be updated or revised in the future. Accuracy and availability may vary. The authoritative record of NPR’s programming is the audio record.
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https://ga.milesplit.com/meets/11367-girls-state-meet-2005/results/24346/raw
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Girls Final Results - 2005 Classification: A Girls Long Jump Place Name School Distance Points 1 Monique Sampson Twiggs County (4-A) 17\' 2.000\" 10 2 Mariam Abdullah Tallulah Falls (8-A) 16\' 6.000\" 8 3 Jitera Washington Jenkins County (3-A) 16\' 5.500\" 6 4 Angela Miller Bryan County (3-A) 16\' 1.750\" 4 5 Maddie McKinley Gordon Lee (6-A) 15\' 9.000\" 2 6 Sabrina Sanders Atkinson County (1-A) 15\' 8.500\" 1 7 April Williams Temple (6-A) 15\' 8.250\" 0 8 Amber Laseter Stewart-Quitman (2-A) 15\' 7.500\" 0 GIrls Shot Put Place Name School Distance Points 1 Natalie Milo Bremen (6-A) 39\' 4.000\" 10 2 Ashley Ball Jenkins County (3-A) 37\' 7.000\" 8 3 Jessica Carter Central, Talbotton (2-A) 37\' 0.000\" 6 4 Desiree Hollis McIntosh County Academy (3-A) 35\' 5.000\" 4 5 Rachel Irby Eagle\'s Landing Christian (5-A) 35\' 2.000\" 2 6 Keterah Boyd Wilkinson County (4-A) 34\' 0.000\" 1 7 Laura Daniels Turner County (1-A) 32\' 4.000\" 0 8 Hannah Allen Our Lady of Mercy (5-A) 32\' 2.000\" 0 Girls 1600m Relay Place Name School Time Points 1 Heather Hayes Landmark Christian (5-A) 4:03.355 10 Ciara Willis Kaity Bulger Christian McGuire Evette Holyfield Lynette Fitts 2 Alley Murray Whitefield Academy (5-A) 4:06.664 8 Callie Pottinger Lauren Wilson Chelsea Wright Kim Bronner Katie Devaney 3 April Williams Temple (6-A) 4:10.413 6 Summer Pittman LaShaun Little Traci Dorn Shatari Winfield 4 Tylena Moon Jefferson (8-A) 4:18.456 4 Shalita Brooks Danielle Busch Brittany Caudell Shanita Moon Gabby Yates 5 Shavonna Edmerson Bremen (6-A) 4:19.196 2 Stephanie Martin Jennisea Whitaker Keara Almon 6 Sharon Dunn Washington-Wilkes (7-A) 4:19.676 1 Quinetta Cofer Carovita Hill Nicolette Fanning Tanisha Hanosek Alexis Cantey 7 Martinique Davis Athens Christian (8-A) 4:22.064 0 Anna McNeil Cimber Cummings Candace Homer Brittany Fowler Channell Lleallen 8 Stephanie Burkett Calvary Day School (3-A) 4:33.125 0 Morgan Singletary Emily Strickland Catherine Patterson Kristen Kutchey Girls Discus Place Name School Distance Points 1 Brittany Caudell Jefferson (8-A) 110\' 0.000\" 10 2 Natalie Milo Bremen (6-A) 106\' 0.000\" 8 3 Jessica Carter Central, Talbotton (2-A) 105\' 2.000\" 6 4 Danielle Calhoun Lanier County (1-A) 96\' 1.000\" 4 5 Brittney Baugh Hancock Central (7-A) 95\' 6.000\" 2 6 Hope Brown Eagle\'s Landing Christian (5-A) 94\' 1.000\" 1 7 Jennifer Jones Jenkins County (3-A) 94\' 0.000\" 0 8 Saysha Colbert Dooly County (4-A) 88\' 7.000\" 0 Girls 400m Relay Place Name School Time Points 1 Latonia Lovett Jenkins County (3-A) 49.631 10 Allison Lloyd Britney Thomas Jitera Washington Christina Johnson Chickeena Rowe 2 Avonsa Sanders Commerce (8-A) 50.400 8 Brittany Sewell Kaylin Canup Denea Grant Amber Bell 3 Chelsea Wright Whitefield Academy (5-A) 50.465 6 Callie Pottinger Alley Murray Kim Bronner Lauren Wilson Elizabeth Marsden 4 Shanita Moon Jefferson (8-A) 50.994 4 Shalita Brooks Brittany Caudell Tylena Moon Schcara Millsaps Annie James 5 April Williams Temple (6-A) 51.288 2 Ashlee Underwood Summer Pittman Traci Dorn Shatari Winfield 6 Monique Sampson Twiggs County (4-A) 51.635 1 Natasha Ballard LaPrecious Sanders Jessica Williams 7 Katie Bisholf Our Lady of Mercy (5-A) 55.010 0 Lydia Blackshear Leigh Ann Burton Kelsey Oberst Victoria Ifeidi Marina Fleming Girls 100m Dash Place Name School Time Points 1 Allison Lloyd Jenkins County (3-A) 12.636 10 2 Brittany Flowers Southwest Atlanta Christian (5-A) 12.760 8 3 Summer Pittman Temple (6-A) 12.835 6 4 Jitera Washington Jenkins County (3-A) 12.868 4 5 Kristina Crimley Pelham (1-A) 12.952 2 6 April Williams Temple (6-A) 12.959 1 7 Monique Sampson Twiggs County (4-A) 12.976 0 8 Tegra Hillman Wilkinson County (4-A) 13.084 0 Girls 200m Dash Place Name School Time Points 1 Ciara Willis Landmark Christian (5-A) 25.551 10 2 Summer Pittman Temple (6-A) 26.045 8 3 Brittany Flowers Southwest Atlanta Christian (5-A) 26.440 6 4 Jitera Washington Jenkins County (3-A) 26.744 4 5 Kristina Crimley Pelham (1-A) 26.768 2 6 Mariam Abdullah Tallulah Falls (8-A) 26.890 1 7 Dominique Roberts Johnson County (4-A) 26.950 0 8 Shavonna Edmerson Bremen (6-A) 27.355 0 Girls 400m Dash Place Name School Time Points 1 Callie Pottinger Whitefield Academy (5-A) 55.623 10 2 Ciara Willis Landmark Christian (5-A) 57.812 8 3 LaSwann Brown Johnson, Augusta (7-A) 1:00.307 6 4 Candace Homer Athens Christian (8-A) 1:00.590 4 5 Zainab Abdullah Tallulah Falls (8-A) 1:01.770 2 6 LaShaun Little Temple (6-A) 1:01.799 1 7 Keara Almon Bremen (6-A) 1:02.186 0 8 Latonia Lovett Jenkins County (3-A) 1:02.523 0 Girls 800m Run Place Name School Time Points 1 Dorothy Todd Athens Academy (8-A) 2:24.544 10 2 Heather Hayes Landmark Christian (5-A) 2:28.560 8 3 Catherine Patterson Calvary Day School (3-A) 2:30.986 6 4 Tameka Rogers Pacelli Catholic (2-A) 2:31.177 4 5 Cimber Cummings Athens Christian (8-A) 2:32.138 2 6 Crystal West Hawkinsville (4-A) 2:32.260 1 7 Jadiel Wasson Johnson, Augusta (7-A) 2:50.612 0 Girls 1600m Run Place Name School Time Points 1 Gabbie Pina Schley County (2-A) 5:22.684 10 2 Whitney Bishoff Athens Christian (8-A) 5:24.163 8 3 Dorothy Todd Athens Academy (8-A) 5:33.383 6 4 Kaity Bulger Landmark Christian (5-A) 5:39.008 4 5 Jessie Thames Landmark Christian (5-A) 5:45.552 2 6 Tawsha Welborn Pacelli Catholic (2-A) 6:01.506 1 7 Whitney Blackburn Baconton (1-A) 6:07.744 0 8 Emily Long Savannah Country Day (3-A) 6:09.418 0 Girls 3200m Run Place Name School Time Points 1 Gabbie Pina Schley County (2-A) 11:27.202 10 2 Whitney Bishoff Athens Christian (8-A) 11:31.324 8 3 Kaity Bulger Landmark Christian (5-A) 11:56.949 6 4 Jessie Thames Landmark Christian (5-A) 12:26.316 4 5 Gabby Yates Jefferson (8-A) 12:59.412 2 6 Tawsha Welborn Pacelli Catholic (2-A) 13:22.521 1 7 Emily Long Savannah Country Day (3-A) 13:29.500 0 8 Katie Williams Baconton (1-A) 14:00.662 0 Girls 100m Intermediate Hurdles Place Name School Time Points 1 Leigh Ann Burton Our Lady of Mercy (5-A) 15.466 10 2 Brittany Caudell Jefferson (8-A) 16.276 8 3 Shevail Weston Terrell County (2-A) 16.900 6 4 Bridget Bembry Hawkinsville (4-A) 17.148 4 5 Tanisha Hanosek Washington-Wilkes (7-A) 17.383 2 6 LaToya Ballard Johnson, Augusta (7-A) 17.667 1 7 Juawana Stringer Calhoun County (2-A) 17.963 0 8 Ashlee Underwood Temple (6-A) 18.124 0 Girls Triple Jump Place Name School Distance Points 1 Angela Miller Bryan County (3-A) 35\' 3.000\" 10 2 Akosua Badu Tallulah Falls (8-A) 35\' 2.000\" 8 3 Chelsea Wright Whitefield Academy (5-A) 34\' 2.500\" 6 4 Shanita Moon Jefferson (8-A) 33\' 5.500\" 4 5 Monica Moran McIntosh County Academy (3-A) 33\' 5.500\" 2 6 Sabrina Sanders Atkinson County (1-A) 32\' 8.000\" 1 7 Leann Barber Johnson County (4-A) 32\' 7.000\" 0 8 April Williams Temple (6-A) 32\' 4.500\" 0 Girls 300m Hurdles Place Name School Time Points 1 Brittany Caudell Jefferson (8-A) 46.762 10 2 Lynette Fitts Landmark Christian (5-A) 47.195 8 3 Heather Hayes Landmark Christian (5-A) 48.681 6 4 Latonia Lovett Jenkins County (3-A) 49.709 4 5 Jadiel Wasson Johnson, Augusta (7-A) 50.641 2 6 Angelica Lester Dooly County (4-A) 50.664 1 7 Anna McNeil Athens Christian (8-A) 50.979 0 8 Juawana Stringer Calhoun County (2-A) 52.136 0 Girls High Jump Place Name School Height Points 1 Shalita Brooks Jefferson (8-A) 5\' 4.000\" 10 2 Shavonna Edmerson Bremen (6-A) 5\' 2.000\" 8 3 Kasey Mays Gordon Lee (6-A) 5\' 0.000\" 6 4 Cassie Huntley Atlanta International (5-A) 4\' 10.000\" 3 4 Kathryn Bryant Athens Christian (8-A) 4\' 10.000\" 3 6 Leann Barber Johnson County (4-A) 4\' 8.000\" 1 6 Shannon Coleman Calhoun County (2-A) 4\' 8.000\" 0 8 Whitney Trawick Clinch County (1-A) 4\' 8.000\" 0 Girls Pole Vault Place Name School Height Points 1 Heather Hayes Landmark Christian (5-A) 11\' 0.000\" 10 2 Laura Geronimo Atlanta International (5-A) 9\' 0.000\" 8 3 Britney Dalton Gordon Lee (6-A) 8\' 0.000\" 6 4 Annie James Jefferson (8-A) 8\' 0.000\" 4 5 Anna Aube Athens Christian (8-A) 7\' 0.000\" 2 Team Results 1. Landmark Christian 76 2. Jefferson 56 3. Jenkins County 46 4. Whitefield Academy 30 5. Bremen 28 6. Athens Christian 27 7. Temple 24 8. Schley County 20 9. Tallulah Falls 19 10. Athens Academy 16 11. Gordon Lee 14 12. Southwest Atlanta Christian 14 13. Bryan County 14 14. Central, Talbotton 12 15. Atlanta International 11 16. Twiggs County 11 17. Our Lady of Mercy 10 18. Johnson, Augusta 9 19. Commerce 8 20. Calvary Day School 6 21. Terrell County 6 22. McIntosh County Academy 6 23. Pacelli Catholic 6 24. Hawkinsville 5 25. Lanier County 4 26. Pelham 4 27. Washington-Wilkes 3 28. Eagle\'s Landing Christian 3 29. Hancock Central 2 30. Atkinson County 2 31. Dooly County 1 32. Wilkinson County 1 33. Johnson County 1 34. Clinch County 0 35. Turner County 0 36. Savannah Country Day 0 37. Stewart-Quitman 0 38. Baconton 0 39. Calhoun County 0 Classification: AA Girls Long Jump Place Name School Distance Points 1 Christy Brown Holy Innocents\' (5-AA) 18\' 10.500\" 10 2 Shaywan Harris Tri-County (4-AA) 17\' 10.000\" 8 3 Lynn Moses Early County (1-AA) 17\' 8.000\" 6 4 Tierra Small Decatur (5-AA) 17\' 6.250\" 4 5 Mary Claire Merlino Wesleyan (8-AA) 17\' 2.000\" 2 6 Kendra Sol Early County (1-AA) 16\' 11.500\" 1 7 Cassi Sticker Greater Atlanta Christian (8-AA) 16\' 2.000\" 0 8 Jheri Booker Chattooga (6-AA) 16\' 1.500\" 0 Girls Shot Put Place Name School Distance Points 1 Allison Horner Lovett (5-AA) 36\' 11.000\" 10 2 Alexis Freeman Claxton (3-AA) 36\' 1.000\" 8 3 Amelia Hill Macon County (4-AA) 34\' 9.000\" 6 4 Keisha Pruitt Irwin County (2-AA) 34\' 8.000\" 4 5 Jamekia Thompson Chattooga (6-AA) 33\' 11.000\" 2 6 Jheri Booker Chattooga (6-AA) 33\' 2.000\" 1 7 Kate Hausman Wesleyan (8-AA) 32\' 10.000\" 0 8 Jasmine Pennamon Monticello (7-AA) 32\' 4.000\" 0 Girls 1600m Relay Place Name School Time Points 1 Brittany Holden Decatur (5-AA) 4:03.725 10 Bree Bennett Ericia Walker Tierra Small Heather Burger Lakesha Mozee 2 Chasity Young Swainsboro (3-AA) 4:06.375 8 Solita Boynton LaShoundia Strawbridge Ashley Boynton 3 Kim Isidahomen Greater Atlanta Christian (8-AA) 4:07.394 6 Cassi Sticker Stasia Kelly-Taylor Cree Nix Lauren Reid Kiara Swanier 4 Caitlin Davidson Darlington (6-AA) 4:14.783 4 Megan Betts Elizabeth Buice Fatema Bandukwala Jenna Van Es Landon Watters 5 Leslie Miller Lovett (5-AA) 4:14.856 2 Mary Grace Gallagher Charlayna Braxton Kimberly Keller Harriot Kelly 6 Ashley Walker Laney (7-AA) 4:17.660 1 Stephanie Mack Katherine Harris Brittany Youngblood Nicole Harris Keyana Bonner 7 Tiffany Hines West Laurens (3-AA) 4:18.105 0 Shuntell Tharpe Andria Dardy Stephanie Swayne Andrea Butler 8 Aimee Whatley Greenville (4-AA) 4:23.405 0 Shantress Thrash Jalissa Marshall Kennisha Armstrong Kiera Robertson Yasmine Mitchell Girls Discus Place Name School Distance Points 1 Amanda Spivy Southeast Bulloch (3-AA) 112\' 2.000\" 10 2 Nancy Palmer Claxton (3-AA) 101\' 7.000\" 8 3 Kate Hausman Wesleyan (8-AA) 100\' 2.000\" 6 4 Nathale Rosada Rabun County (8-AA) 98\' 8.000\" 4 5 Dorothy Virden Lamar County (4-AA) 97\' 10.000\" 2 6 Shannon Hall Greene County (7-AA) 94\' 3.000\" 1 7 Greer Homer Holy Innocents\' (5-AA) 92\' 9.000\" 0 8 Toneika Kendall Lamar County (4-AA) 90\' 10.000\" 0 9 Allison Horner Lovett (5-AA) 89\' 7.000\" 0 10 Angelica Dailey Berrien (1-AA) 85\' 0.000\" 0 11 Mary Beth Colston Coosa (6-AA) 83\' 2.000\" 0 12 Nakia Boyle Laney (7-AA) 78\' 3.000\" 0 13 Tamekia Thompson Chattooga (6-AA) 74\' 2.000\" 0 14 Amy Lee Brantley County (2-AA) 70\' 3.000\" 0 15 Armathea Hess Early County (1-AA) 69\' 5.000\" 0 16 Quanika Harris Fitzgerald (2-AA) 68\' 9.000\" 0 Girls 400m Relay Place Name School Time Points 1 Ericia Walker Decatur (5-AA) 49.008 10 Bree Bennett Brittany Holden Tierra Small Lakesha Mozee Rochelle Madhere 2 Lynn Moses Early County (1-AA) 49.756 8 Kendra Sol Marah Wright Dantelle Thomas Brittany Means 3 Stephanie Scott Screven County (3-AA) 49.962 6 Ashley Robbins Kenyetta O\'Neal Shaneka Lee Ashley Loundy 4 Demia Rosser Greenville (4-AA) 50.059 4 Yasmine Mitchell Kennisha Armstrong Kiera Robertson Keyarria Amey Mecrease Colton 5 Cree Nix Greater Atlanta Christian (8-AA) 50.846 2 Cassi Sticker Stasia Kelly-Taylor Chanler Phelps Erika Barton Kim Isidahomen 6 Bianca Bostic Charlton County (2-AA) 51.144 1 Quintuana Reed Shamekia Buie Juanisha Parker Shade Smiley Girls 100m Dash Place Name School Time Points 1 Christy Brown Holy Innocents\' (5-AA) 12.247 10 2 Shannon Wilson Buford (8-AA) 12.511 8 3 Katherine Harris Laney (7-AA) 12.534 6 4 Jamie Edwards Morgan County (7-AA) 12.596 4 5 Demetrise Anthony Manchester (4-AA) 12.647 2 6 Ericia Walker Decatur (5-AA) 12.751 1 7 Jheri Booker Chattooga (6-AA) 12.846 0 8 Stephanie Swayne West Laurens (3-AA) 13.002 0 Girls 200m Dash Place Name School Time Points 1 Christy Brown Holy Innocents\' (5-AA) 24.896 10 2 Porche Byrd Cross Keys (5-AA) 24.936 8 3 Shannon Wilson Buford (8-AA) 26.041 6 4 Shaywan Harris Tri-County (4-AA) 26.297 4 5 Jamie Edwards Morgan County (7-AA) 26.523 2 6 Chasity Young Swainsboro (3-AA) 26.760 1 7 Demetrise Anthony Manchester (4-AA) 27.119 0 Girls 400m Dash Place Name School Time Points 1 Porche Byrd Cross Keys (5-AA) 55.620 10 2 Tierra Small Decatur (5-AA) 58.857 8 3 Megan Betts Darlington (6-AA) 59.408 6 4 Chasity McPherson Rockmart (6-AA) 59.767 4 5 Cree Nix Greater Atlanta Christian (8-AA) 59.975 2 6 Tarekia Miller Metter (3-AA) 1:00.223 1 7 Kristian Lindsey Albany (1-AA) 1:01.668 0 8 Ashley Kennedy Claxton (3-AA) 1:02.258 0 Girls 800m Run Place Name School Time Points 1 Megan Betts Darlington (6-AA) 2:19.641 10 2 Summer Nelson Buford (8-AA) 2:20.941 8 3 Vanessa Petrosky Pace Academy (5-AA) 2:24.540 6 4 Denise Ramey Rabun County (8-AA) 2:26.083 4 5 Ashley Scroggins Metter (3-AA) 2:28.007 2 6 Heather Burger Decatur (5-AA) 2:30.319 1 7 Andria Dardy West Laurens (3-AA) 2:34.014 0 8 Fatema Bandukwala Darlington (6-AA) 2:36.407 0 Girls 1600m Run Place Name School Time Points 1 Haley Kolff Holy Innocents\' (5-AA) 5:16.480 10 2 Harriot Kelly Lovett (5-AA) 5:20.410 8 3 Lacey Meadows Calhoun (6-AA) 5:29.410 6 4 Ashley Arnold Bleckley County (3-AA) 5:38.740 4 5 Dani Jackson Lumpkin County (8-AA) 5:45.530 2 6 Sarah Lee Kelley LaFayette (6-AA) 5:47.500 1 7 Melissa Knight Savannah Christian (3-AA) 5:48.850 0 8 Elyssa Kaplan North Oconee (7-AA) 6:00.170 0 Girls 3200m Run Place Name School Time Points 1 Haley Kolff Holy Innocents\' (5-AA) 11:10.879 10 2 Harriot Kelly Lovett (5-AA) 11:26.047 8 3 Lacey Meadows Calhoun (6-AA) 11:53.917 6 4 Ashley Arnold Bleckley County (3-AA) 12:11.511 4 5 Crystal Cross Wesleyan (8-AA) 12:13.155 2 6 Kara Kreutzer Providence Christian (8-AA) 12:43.685 1 7 Elyssa Kaplan North Oconee (7-AA) 12:59.621 0 8 Sarah Lee Kelley LaFayette (6-AA) 13:01.487 0 Girls 100m High Hurdles Place Name School Time Points 1 Bree Bennett Decatur (5-AA) 14.577 10 2 Stasia Kelly-Taylor Greater Atlanta Christian (8-AA) 15.192 8 3 Becca Lightfoot Providence Christian (8-AA) 15.833 6 4 Jamena Henderson Grady (5-AA) 16.147 4 5 Heather Allen Bleckley County (3-AA) 16.374 2 6 Marnetta Lee Josey (7-AA) 16.869 1 7 Stephanie Mack Laney (7-AA) 17.124 0 8 Kendra Walker Metter (3-AA) 17.130 0 Girls Triple Jump Place Name School Distance Points 1 Stasia Kelly-Taylor Greater Atlanta Christian (8-AA) 39\' 0.500\" 10 2 Lynn Moses Early County (1-AA) 38\' 0.000\" 8 3 Mary Claire Merlino Wesleyan (8-AA) 37\' 4.000\" 6 4 Demetrise Anthony Manchester (4-AA) 36\' 7.500\" 4 5 Alisha McGauley Pierce County (2-AA) 35\' 3.500\" 2 6 Mia Fields Grady (5-AA) 34\' 9.000\" 1 7 Bree Bennett Decatur (5-AA) 34\' 6.500\" 0 8 Endya Jones Claxton (3-AA) 34\' 4.000\" 0 9 Natasha Williams Josey (7-AA) 33\' 8.000\" 0 10 Stephanie Mack Laney (7-AA) 33\' 5.000\" 0 11 Bianca Bostic Charlton County (2-AA) 32\' 10.000\" 0 12 Whitney Fletcher Pepperell (6-AA) 31\' 3.000\" 0 13 Jennifer Whitaker Tri-County (4-AA) 31\' 1.000\" 0 13 Chaka Gosier Thomasville (1-AA) 31\' 1.000\" 0 15 Kenyetta O\'Neal Screven County (3-AA) 30\' 10.500\" 0 Girls 300m Low Hurdles Place Name School Time Points 1 Stasia Kelly-Taylor Greater Atlanta Christian (8-AA) 45.597 10 2 Cree Nix Greater Atlanta Christian (8-AA) 46.127 8 3 Shaneka Lee Screven County (3-AA) 47.272 6 4 Kimberly Keller Lovett (5-AA) 47.476 4 5 Bree Bennett Decatur (5-AA) 47.526 2 6 Marnetta Lee Josey (7-AA) 48.999 1 7 Nikki Moxon Lamar County (4-AA) 49.157 0 8 Amanda Smith Southeast Bulloch (3-AA) 53.588 0 Girls High Jump Place Name School Height Points 1 Shaneka Lee Screven County (3-AA) 5\' 6.000\" 10 2 Amanda Smith Calhoun (6-AA) 5\' 4.000\" 8 3 Stephanie Swayne West Laurens (3-AA) 5\' 4.000\" 6 4 Becca Lightfoot Providence Christian (8-AA) 5\' 2.000\" 4 5 Shelley Kerr LaFayette (6-AA) 5\' 0.000\" 2 6 Jamena Henderson Grady (5-AA) 5\' 0.000\" 1 7 Quintuana Reed Charlton County (2-AA) 4\' 10.000\" 0 8 Rachel Clark Lovett (5-AA) 4\' 10.000\" 0 8 Bianca Bostic Charlton County (2-AA) 4\' 10.000\" 0 Girls Pole Vault Place Name School Height Points 1 Janna Brown Bleckley County (3-AA) 10\' 6.000\" 10 2 Chanler Phelps Greater Atlanta Christian (8-AA) 10\' 0.000\" 8 3 Ann Sanquansri Walker (5-AA) 9\' 6.000\" 6 4 Annie Polhamus Fitzgerald (2-AA) 9\' 0.000\" 4 5 Katie Smith Bleckley County (3-AA) 9\' 0.000\" 2 6 Diana Stanford Lovett (5-AA) 8\' 0.000\" .5 6 Toria Strickland Greater Atlanta Christian (8-AA) 8\' 0.000\" .5 8 Landon Watters Darlington (6-AA) 8\' 0.000\" 0 Team Results 1. Greater Atlanta Christian 54.5 2. Holy Innocents\' 50 3. Decatur 46 4. Lovett 32.5 5. Early County 23 6. Bleckley County 22 7. Screven County 22 8. Buford 22 9. Calhoun 20 10. Darlington 20 11. Cross Keys 18 12. Claxton 16 13. Wesleyan 16 14. Tri-County 12 15. Providence Christian 11 16. Southeast Bulloch 10 17. Swainsboro 9 18. Rabun County 8 19. Laney 7 20. Manchester 6 21. Macon County 6 22. Pace Academy 6 23. Walker 6 24. West Laurens 6 25. Grady 6 26. Morgan County 6 27. Irwin County 4 28. Greenville 4 29. Rockmart 4 30. Fitzgerald 4 31. LaFayette 3 32. Metter 3 33. Chattooga 3 34. Josey 2 35. Lamar County 2 36. Lumpkin County 2 37. Pierce County 2 38. Greene County 1 39. Charlton County 1 40. Thomasville 0 41. Savannah Christian 0 42. Coosa 0 43. Pepperell 0 44. Albany 0 45. Monticello 0 46. Berrien 0 47. Brantley County 0 48. North Oconee 0 Classification: AAA Girls Long Jump Place Name School Distance Points 1 Veronica Jackson Westlake (5-AAA) 18\' 0.500\" 10 2 Naquita Rowe Carrollton (6-AAA) 17\' 9.000\" 8 3 Carilla Hollingshed Peach County (4-AAA) 17\' 6.000\" 6 4 Aleigha Brigham Burke County (3-AAA) 17\' 2.500\" 4 5 Shaquita Young Oconee County (8-AAA) 17\' 0.500\" 2 6 Jill Arthur Chestatee (7-AAA) 16\' 11.000\" 1 7 Ashley Cunningham Jordan (2-AAA) 16\' 3.500\" 0 8 LaTonya Gilliam Troup (2-AAA) 16\' 3.000\" 0 Girls Shot Put Place Name School Distance Points 1 Chasity Williams Columbus (2-AAA) 41\' 0.000\" 10 2 Thanithia Billings Carrollton (6-AAA) 38\' 11.000\" 8 3 Jasmine Woods Monroe Area (8-AAA) 38\' 6.000\" 6 4 Cayla Moore Westover (1-AAA) 37\' 8.000\" 4 5 Saisha Woodward Banneker (6-AAA) 36\' 4.000\" 2 6 Kim Johnson Thomson (3-AAA) 34\' 11.000\" 1 7 Vatisia Cameron Therrell (5-AAA) 34\' 9.000\" 0 8 Ashley Hurst Washington County (4-AAA) 34\' 2.000\" 0 Girls 1600m Relay Place Name School Time Points 1 Keierrah Beasley Westlake (5-AAA) 3:55.019 10 Jasmine Dacus Bianca Tyson Veronica Jackson Bianca Rush 2 Tiara Smith Therrell (5-AAA) 3:57.479 8 Brittany Long Deanna Lee Quaneshia Cleckley Reshai Reeves Crystal Leamons 3 Kwantalia Martin Kendrick (2-AAA) 3:58.142 6 Angel Rice Sheraneyka Green Clarissa Johnson 4 Emosha Brinston Westover (1-AAA) 4:00.166 4 Jessica Edison Brittany Tumblin Cheris Fletcher Franeshia Pearman Qynesha Thomas 5 Tierra Watts Monroe (1-AAA) 4:00.741 2 Keyshonda Hill TeArius Davis Latricia Jackson Ta\'Shelya Bynum 6 Chaturia Rouse Carrollton #1 (6-AAA) 4:05.435 1 Chenice Bridges Monique Harrison Ladamian Brown Thanithia Billings Jasmine Strozier 7 LaQuanta Strickland Shaw (2-AAA) 4:09.595 0 Ebony Williams Brittany Mathis Shaundra Maddox Nakela Jackson 8 Naquita Rowe Carrollton #2 (6-AAA) 4:25.720 0 Jemere McCurty Alison Cook Natasha Williams Emma Bussard Nesia Body Girls Discus Place Name School Distance Points 1 Thanithia Billings Carrollton (6-AAA) 118\' 4.000\" 10 2 Ebony Moore Winder-Barrow (8-AAA) 117\' 6.000\" 8 3 Nakoasha Dillard Westover (1-AAA) 115\' 11.000\" 6 4 Chenice Bridges Carrollton (6-AAA) 108\' 5.000\" 4 5 Jesse Matthews Elbert County (8-AAA) 105\' 9.000\" 2 6 Jada Frazier Westover (1-AAA) 105\' 7.000\" 1 7 Tiffany Stewart Liberty County (3-AAA) 104\' 10.000\" 0 8 Kassie Hall Therrell (5-AAA) 96\' 4.000\" 0 9 Crystle Gunn Harris County (2-AAA) 0.000\" 0 10 Heather Stringer Johnson, Gainesville (7-AAA) 0.000\" 0 11 Francesca Green Northeast (4-AAA) 0.000\" 0 Girls 400m Relay Place Name School Time Points 1 TeArius Davis Monroe (1-AAA) 47.928 10 Ta\'Shelya Bynum Tierra Watts Latricia Jackson Keyshonda Hill 2 Deanna Lee Therrell (5-AAA) 48.105 8 Tiara Smith Quaneshia Cleckley Brittany Long Santeria Moses Aurelia Street 3 Jennifer Culberson M. L. King (5-AAA) 48.484 6 Ashley Lowery Quawnecia Johnson Akei Irvin Raven Heard 4 Shaundra Maddox Shaw (2-AAA) 48.569 4 Nakela Jackson LaQuanta Strickland Rasheedah Brown Erica Marchand 5 LaTonya Gilliam Troup (2-AAA) 48.820 2 Tashara Fitzpatrick Chontia Allen Tatiana Thomas Norma Stiggers Courtney Nelson 6 Natasha Williams Carrollton #1 (6-AAA) 48.841 1 Chaturia Rouse Naquita Rowe Jemere McCurty Nesia Body Thanithia Billings 7 Brandi Dawson Cross Creek (3-AAA) 49.857 0 Tacarrow Wallace Ayisha Raheem Rashay Rawls Shontavia Carter Chanae Wyatt 8 Alison Cook Carrollton #2 (6-AAA) 49.896 0 Chenice Bridges Monique Harrison Ladamian Brown Jasmine Strozier Kristi Phillips Girls 100m Dash Place Name School Time Points 1 Brittany Long Therrell (5-AAA) 11.951 10 2 Marcella Avery Glenn Hills (3-AAA) 12.001 8 3 Carilla Hollingshed Peach County (4-AAA) 12.199 6 4 Bianca Tyson Westlake (5-AAA) 12.381 4 5 Aundrielle Graydon Oconee County (8-AAA) 12.420 2 6 Tierra Watts Monroe (1-AAA) 12.432 1 7 Rasheedah Brown Shaw (2-AAA) 12.691 0 8 Shaundra Maddox Shaw (2-AAA) 12.706 0 Girls 200m Dash Place Name School Time Points 1 Brittany Long Therrell (5-AAA) 24.212 10 2 Tatiana Thomas Troup (2-AAA) 24.903 8 3 Carilla Hollingshed Peach County (4-AAA) 25.157 6 4 Natasha Williams Carrollton (6-AAA) 25.314 4 5 Latricia Jackson Monroe (1-AAA) 25.555 2 6 Tierra Watts Monroe (1-AAA) 25.617 1 7 Shaundra Maddox Shaw (2-AAA) 29.266 0 Girls 400m Dash Place Name School Time Points 1 Jasmine Dacus Westlake (5-AAA) 56.226 10 2 Shantela Davis Liberty County (3-AAA) 56.583 8 3 Tatiana Thomas Troup (2-AAA) 56.801 6 4 Cheris Fletcher Westover (1-AAA) 57.211 4 5 Quawnecia Johnson M. L. King (5-AAA) 58.085 2 6 Chaturia Rouse Carrollton (6-AAA) 58.921 1 7 Ladamian Brown Carrollton (6-AAA) 59.283 0 8 Latricia Jackson Monroe (1-AAA) 59.994 0 Girls 800m Run Place Name School Time Points 1 Ayesha Famble M. L. King (5-AAA) 2:19.852 10 2 Cheris Fletcher Westover (1-AAA) 2:19.880 8 3 Emosha Brinston Westover (1-AAA) 2:25.779 6 4 Brittany Mathis Shaw (2-AAA) 2:25.923 4 5 Chaturia Rouse Carrollton (6-AAA) 2:29.764 2 6 Dominique Ross Richmond Academy (3-AAA) 2:33.016 1 7 London Ryles Druid Hills (5-AAA) 2:33.324 0 8 Adrienne Smith Oconee County (8-AAA) 2:35.055 0 Girls 1600m Run Place Name School Time Points 1 Emma Bussard Carrollton (6-AAA) 5:24.104 10 2 Chelsea Walsh Blessed Trinity (5-AAA) 5:25.654 8 3 Sarah Brown Westminster (5-AAA) 5:27.147 6 4 Emosha Brinston Westover (1-AAA) 5:29.261 4 5 Vanessa Pizarrd Columbus (2-AAA) 5:29.584 2 6 Keonya Davis Cartersville (6-AAA) 5:36.641 1 7 Kassi Lee Elbert County (8-AAA) 5:40.921 0 8 Dominique Ross Richmond Academy (3-AAA) 5:46.968 0 Girls 3200m Run Place Name School Time Points 1 Emma Bussard Carrollton (6-AAA) 11:32.074 10 2 Keonya Davis Cartersville (6-AAA) 11:55.643 8 3 Sarah Brown Westminster (5-AAA) 11:57.814 6 4 Vanessa Pizarrd Columbus (2-AAA) 11:58.491 4 5 Bridgette Wilson Richmond Academy (3-AAA) 12:05.778 2 6 Kassi Lee Elbert County (8-AAA) 12:10.366 1 7 Jordanne Helton Monroe Area (8-AAA) 12:15.910 0 8 Lauren Pilcher Flowery Branch (7-AAA) 12:30.682 0 Girls 100m High Hurdles Place Name School Time Points 1 Caroline Vaughn Blessed Trinity (5-AAA) 14.288 10 2 Veronica Jackson Westlake (5-AAA) 14.813 8 3 Tiffany Daggett Thomson (3-AAA) 15.291 6 4 Naquita Rowe Carrollton (6-AAA) 15.372 4 5 Ta\'Shelya Bynum Monroe (1-AAA) 15.558 2 6 Nakela Jackson Shaw (2-AAA) 15.943 1 7 Monique Harrison Carrollton (6-AAA) 16.097 0 8 Chkira Barrow Northeast (4-AAA) 16.485 0 Girls Triple Jump Place Name School Distance Points 1 Kiana Key Westover (1-AAA) 38\' 1.000\" 10 2 Jemere McCurty Carrollton (6-AAA) 37\' 3.000\" 8 3 Falisea Watkins Peach County (4-AAA) 37\' 2.000\" 6 4 Tanya Jiles Clarkston (5-AAA) 36\' 5.000\" 4 5 Ethelya West Dougherty (1-AAA) 36\' 2.000\" 2 6 Shantela Davis Liberty County (3-AAA) 35\' 11.000\" 1 7 Sharonda Brooks Northeast (4-AAA) 35\' 4.000\" 0 8 LaTonya Gilliam Troup (2-AAA) 35\' 2.500\" 0 Girls 300m Low Hurdles Place Name School Time Points 1 Jasmine Dacus Westlake (5-AAA) 43.387 10 2 Quaneshia Cleckley Therrell (5-AAA) 44.793 8 3 Monique Harrison Carrollton (6-AAA) 46.133 6 4 Alison Cook Carrollton (6-AAA) 47.076 4 5 Nakela Jackson Shaw (2-AAA) 47.375 2 6 Tiffany Daggett Thomson (3-AAA) 47.526 1 7 Marecha Gaines Mary Persons (4-AAA) 49.104 0 Girls High Jump Place Name School Height Points 1 Shaquita Young Oconee County (8-AAA) 5\' 4.000\" 10 2 A/Jean Woolford St. Vincent\'s Academy (3-AAA) 5\' 2.000\" 8 3 Chandra Harris Northeast (4-AAA) 5\' 2.000\" 6 4 Cjambbrika Jackson Dougherty (1-AAA) 5\' 2.000\" 4 5 Emerald Jones Riverwood (5-AAA) 5\' 2.000\" 2 6 Shamica Parker Washington County (4-AAA) 5\' 2.000\" 1 7 Ta\'Shelya Bynum Monroe (1-AAA) 5\' 2.000\" 0 8 Alana Hensley Fannin County (7-AAA) 5\' 2.000\" 0 Girls Pole Vault Place Name School Height Points 1 Kim Adams White County (7-AAA) 9\' 6.000\" 10 2 Morgan Seegmueller Westover (1-AAA) 9\' 0.000\" 7 2 Lindsey Weissinger Gilmer (7-AAA) 9\' 0.000\" 7 4 Taylor Kopacka Blessed Trinity (5-AAA) 9\' 0.000\" 4 5 Kristi Phillips Carrollton (6-AAA) 8\' 6.000\" 2 6 Brittany Barnes Franklin County (8-AAA) 8\' 0.000\" 1 7 Karie Benko Oconee County (8-AAA) 8\' 0.000\" 0 8 Maggie Valz Blessed Trinity (5-AAA) 7\' 6.000\" 0 Team Results 1. Carrollton 83 2. Westover 54 3. Westlake 52 4. Therrell 44 5. Peach County 24 6. Blessed Trinity 22 7. Monroe 18 8. M. L. King 18 9. Columbus 16 10. Troup 16 11. Oconee County 14 12. Westminster 12 13. Shaw 11 14. White County 10 15. Liberty County 9 16. Cartersville 9 17. St. Vincent\'s Academy 8 18. Thomson 8 19. Glenn Hills 8 20. Winder-Barrow 8 21. Gilmer 7 22. Monroe Area 6 23. Kendrick 6 24. Northeast 6 25. Dougherty 6 26. Clarkston 4 27. Burke County 4 28. Richmond Academy 3 29. Elbert County 3 30. Riverwood 2 31. Banneker 2 32. Franklin County 1 33. Washington County 1 34. Chestatee 1 35. Druid Hills 0 36. Fannin County 0 37. Jordan 0 38. Johnson, Gainesville 0 39. Mary Persons 0 40. Harris County 0 41. Cross Creek 0 42. Flowery Branch 0 Classification: AAAA GIrls Long Jump Place Name School Distance Points 1 Alisha Simmons Greenbrier (2-AAAA) 18\' 8.500\" 10 2 Jada Hamilton Chamblee (6-AAAA) 18\' 4.000\" 8 3 Kim House North Springs (6-AAAA) 18\' 0.500\" 6 4 Charnise Knight Hiram (7-AAAA) 17\' 8.500\" 4 5 Anna Oglesby Cedar Shoals (8-AAAA) 17\' 7.500\" 2 6 Kashira Raven South Atlanta (5-AAAA) 17\' 1.500\" 1 7 Mellany Stanislaus Sandy Creek (4-AAAA) 17\' 1.000\" 0 8 India Anderson Hiram (7-AAAA) 17\' 0.000\" 0 9 Chelsea Lawrence Hardaway (3-AAAA) 16\' 8.000\" 0 10 Kiesharra Cole Mays (5-AAAA) 16\' 7.250\" 0 11 Sandi Brown Westside, Macon (3-AAAA) 16\' 6.750\" 0 12 Nia Robinson Thomas County Central (1-AAAA) 15\' 9.500\" 0 13 Millicent-Brooks Miliender Alexander (4-AAAA) 15\' 9.000\" 0 14 Shay Tisby Statesboro (2-AAAA) 15\' 4.500\" 0 Girls Shot Put Place Name School Distance Points 1 Yolanda Berryhill Lee County (1-AAAA) 38\' 6.000\" 10 2 Teannah Holland Cedar Shoals (8-AAAA) 38\' 2.000\" 8 3 Kayla Strozier St. Pius X (6-AAAA) 37\' 3.000\" 6 4 Autumn Paine Gordon Central (7-AAAA) 35\' 3.000\" 4 5 Arianna McClean Warner Robins (3-AAAA) 34\' 7.000\" 2 6 Jelisa Caldwell Westside, Macon (3-AAAA) 34\' 6.000\" 1 7 Aleysia Jones Lakeside, DeKalb (6-AAAA) 34\' 6.000\" 0 8 Kim Williams Alexander (4-AAAA) 34\' 6.000\" 0 9 Khantiga Anderson Thomas County Central (1-AAAA) 34\' 3.000\" 0 10 Brittany Rhea Forest Park (5-AAAA) 34\' 0.000\" 0 11 Daisy Millsap Alexander (4-AAAA) 33\' 10.000\" 0 12 Jessica Lumpkin Gordon Central (7-AAAA) 33\' 8.000\" 0 13 Ashley Sheppard Habersham Central (8-AAAA) 32\' 8.000\" 0 14 Gwen Jones Statesboro (2-AAAA) 31\' 0.000\" 0 15 Jherica Calhoun Jonesboro (5-AAAA) 30\' 0.000\" 0 Girls 1600m Relay Place Name School Time Points 1 Kenika Weaver North Springs (6-AAAA) 3:53.125 10 Hope Oremegue Whitney Smith Kim House Tiffany Lewis LaShonda Foster 2 Amber West Southwest DeKalb (5-AAAA) 3:53.751 8 Jacqui Brown Dejia Ricks Brittany Robbins Deonna Bailey Racquel Daly 3 Sharerica Walters Chamblee (6-AAAA) 3:59.713 6 Kim Gooden Tenece Smart Emily Reese Jada Hamilton Jasmine Taylor 4 Talisa Warren Heritage (8-AAAA) 3:59.995 4 Bryanah Richardson Soibhan Wolcott Jewel May Jenna Kimble Miriam Jenkins 5 Jazmin Jones Stockbridge (3-AAAA) 4:00.714 2 Fatima Thomas Latasha Johnson Brittany Palmer 6 Rene Wilson Carver, Columbus (3-AAAA) 4:03.831 1 Estella Moore Shannon Roberts Nicole Wilson Denta Cumming 7 Zipphrah Locke North Atlanta (5-AAAA) 4:05.129 0 Kanita Holloway Candace Walker Jovelle Patterson Christina Henry 8 CeCe Smarr Creekside (4-AAAA) 4:12.539 0 Daa\'Iyah Abdullah Auriel Searcie Johnovis Jordan Dominique Walker Danielle Walker Girls Discus Place Name School Distance Points 1 Yolanda Berryhill Lee County (1-AAAA) 120\' 0.000\" 10 2 Teannah Holland Cedar Shoals (8-AAAA) 119\' 0.000\" 8 3 Kim Williams Alexander (4-AAAA) 112\' 9.000\" 6 4 Ashley Sheppard Habersham Central (8-AAAA) 112\' 7.000\" 4 5 Jessica Cross Ringgold (7-AAAA) 108\' 10.000\" 2 6 Nicole Bush Eagle\'s Landing (3-AAAA) 108\' 0.000\" 1 7 Lacey Calfee Ringgold (7-AAAA) 101\' 10.000\" 0 8 Nikia Trice Westside, Macon (3-AAAA) 101\' 5.000\" 0 Girsl 400m Relay Place Name School Time Points 1 Kenika Weaver North Springs (6-AAAA) 47.428 10 Hope Oremegue Whitney Smith Kim House Tiffany Lewis 2 Estella Moore Carver, Columbus (3-AAAA) 47.843 8 Shannon Roberts Janah Wilson Rene Wilson Jennifer Long 3 Brandice Ware Sandy Creek (4-AAAA) 48.784 6 Brenay Grimble Mellany Stanislaus Iman Person Whitney Judson Jeanne Lyons 4 Natrice Young Stockbridge (3-AAAA) 48.843 4 Brittany Palmer Jazmin Jones Latasha Johnson Fatima Thomas 5 Sarah Balke St. Pius X (6-AAAA) 49.034 2 Christina Ceniza Amanda Montgomery Mary Mbaba Rebecca House Taylor Davidson 6 Stacia Waters Washington (5-AAAA) 49.218 1 Capri Shields Sharonnda Latimore Lache Williams Brittany Johnson Monica Johnson 7 Dieteria Dupree Rome (7-AAAA) 49.433 0 Kristina Watters Brittany King Jasmine Dorsey Romancia Dublin 8 Joanna Walters Clarke Central (8-AAAA) 49.463 0 Cherrelle Pullen Natasha Wright Jolisa Moses Jaimeca Cooper Tiffany McClain Girls 100m Dash Place Name School Time Points 1 Estella Moore Carver, Columbus (3-AAAA) 12.208 10 2 CeCe Smarr Creekside (4-AAAA) 12.331 8 3 Shayla James Warner Robins (3-AAAA) 12.442 6 4 Taylor Davidson St. Pius X (6-AAAA) 12.458 4 5 Terrian Lacy Hiram (7-AAAA) 12.660 2 6 Jolisa Moses Clarke Central (8-AAAA) 12.692 1 7 Brandice Ware Sandy Creek (4-AAAA) 12.710 0 8 Kendra Wilkerson Americus-Sumter (1-AAAA) 12.762 0 Girls 200m Dash Place Name School Time Points 1 Cherell Lawson Mt. Zion, Jonesboro (5-AAAA) 24.735 10 2 Kim House North Springs (6-AAAA) 24.760 8 3 CeCe Smarr Creekside (4-AAAA) 24.999 6 4 Shayla James Warner Robins (3-AAAA) 25.378 4 5 Estella Moore Carver, Columbus (3-AAAA) 25.422 2 6 Amber West Southwest DeKalb (5-AAAA) 25.618 1 7 Hope Oremegue North Springs (6-AAAA) 25.807 0 8 LaToya Spriggs Douglas County (4-AAAA) 26.195 0 Girls 400m Dash Place Name School Time Points 1 Cherell Lawson Mt. Zion, Jonesboro (5-AAAA) 55.521 10 2 Kim House North Springs (6-AAAA) 55.554 8 3 Amber West Southwest DeKalb (5-AAAA) 57.287 6 4 Shannon Roberts Carver, Columbus (3-AAAA) 57.888 4 5 Shay Tisby Statesboro (2-AAAA) 58.754 2 6 Kim Gooden Chamblee (6-AAAA) 58.899 1 7 Raeon Hill Hiram (7-AAAA) 59.337 0 8 LaToya Spriggs Douglas County (4-AAAA) 59.727 0 Girls 800m Run Place Name School Time Points 1 Ena Leufroy Marist (6-AAAA) 2:08.643 10 2 Brittany Robbins Southwest DeKalb (5-AAAA) 2:17.783 8 3 Soibhan Wolcott Heritage (8-AAAA) 2:19.374 6 4 Kellie Wesson Chapel Hill (4-AAAA) 2:20.712 4 5 Courtney Elliott Woodland (7-AAAA) 2:21.659 2 6 Brittany Skiles Lee County (1-AAAA) 2:21.938 1 7 Lindsey Golay Northgate (4-AAAA) 2:25.000 0 8 Corey Aiken St. Pius X (6-AAAA) 2:32.511 0 Girls 1600m Run Place Name School Time Points 1 Emily Reese Chamblee (6-AAAA) 4:54.732 10 2 Shelley Taylor Northwest Whitfield (7-AAAA) 5:02.603 8 3 Ena Leufroy Marist (6-AAAA) 5:09.095 6 4 Jackie Burns Woodward Academy (4-AAAA) 5:09.877 4 5 Brittany Robbins Southwest DeKalb (5-AAAA) 5:18.561 2 6 Stephanie Poore Douglas County (4-AAAA) 5:19.935 1 7 Soibhan Wolcott Heritage (8-AAAA) 5:21.725 0 8 Brittany Skiles Lee County (1-AAAA) 5:34.129 0 Girls 3200m Run Place Name School Time Points 1 Emily Reese Chamblee (6-AAAA) 10:39.738 10 2 Shelley Taylor Northwest Whitfield (7-AAAA) 11:08.100 8 3 Jackie Burns Woodward Academy (4-AAAA) 11:12.334 6 4 Stephanie Uribe Marist (6-AAAA) 11:14.136 4 5 Stephanie Poore Douglas County (4-AAAA) 11:37.848 2 6 Chelsea Maxwell Greenbrier (2-AAAA) 12:00.972 1 7 Carys Fincher Rockdale County (8-AAAA) 12:16.542 0 8 Brigit Kimbrough Southwest DeKalb (5-AAAA) 12:21.430 0 Girls 100m High Hurdles Place Name School Time Points 1 Kristi Castlin Chapel Hill (4-AAAA) 14.590 10 2 India Anderson Hiram (7-AAAA) 15.095 8 3 Kenika Weaver North Springs (6-AAAA) 15.102 6 4 Jazmin Jones Stockbridge (3-AAAA) 15.128 4 5 Tiffany Schultz Heritage (8-AAAA) 15.806 2 6 Rachel Dupree Mays (5-AAAA) 15.933 1 7 Latosha Weatherspoon Thomas County Central (1-AAAA) 16.016 0 8 Kiesharra Cole Mays (5-AAAA) 16.034 0 Girls Triple Jump Place Name School Distance Points 1 Mellany Stanislaus Sandy Creek (4-AAAA) 39\' 5.500\" 10 2 Anna Oglesby Cedar Shoals (8-AAAA) 38\' 5.500\" 8 3 Brittany Robbins Southwest DeKalb (5-AAAA) 37\' 9.500\" 6 4 Ayana Ferguson Northside, Warner Robins (3-AAAA) 37\' 8.500\" 4 5 Kristi Castlin Chapel Hill (4-AAAA) 37\' 7.500\" 2 6 Charnise Knight Hiram (7-AAAA) 36\' 3.000\" 1 7 Rebecca Holmes St. Pius X (6-AAAA) 36\' 0.500\" 0 8 Lafaydra Gorman Hiram (7-AAAA) 35\' 9.500\" 0 Girls 300m Low Hurdles Place Name School Time Points 1 Kenika Weaver North Springs (6-AAAA) 44.613 10 2 Kristi Castlin Chapel Hill (4-AAAA) 45.724 8 3 Auriel Searcie Creekside (4-AAAA) 47.119 6 4 Nickey Newson Salem (8-AAAA) 47.283 4 5 Scerra Bowers Hardaway (3-AAAA) 47.622 2 6 Latosha Weatherspoon Thomas County Central (1-AAAA) 48.244 1 7 Tyeshia Logan Stone Mountain (5-AAAA) 48.435 0 8 Tiffany Schultz Heritage (8-AAAA) 49.698 0 Girls High Jump Place Name School Height Points 1 Jewel May Heritage (8-AAAA) 5\' 4.000\" 10 2 Katie Farnan Alexander (4-AAAA) 5\' 4.000\" 8 3 Jeniffer Sorrow Warner Robins (3-AAAA) 5\' 2.000\" 6 4 Neele Albrecht Jones County (2-AAAA) 5\' 2.000\" 3 4 Caroline Dickey Eastside (8-AAAA) 5\' 2.000\" 3 6 CeCe Smarr Creekside (4-AAAA) 5\' 2.000\" 1 7 Brittany King Rome (7-AAAA) 5\' 0.000\" 0 8 Katherine Harris Ringgold (7-AAAA) 5\' 0.000\" 0 Girls Pole Vault Place Name School Height Points 1 Mauri Peoples Northgate (4-AAAA) 10\' 0.000\" 10 2 Kristen Mecerod St. Pius X (6-AAAA) 9\' 0.000\" 8 3 Charlene Clifton Chapel Hill (4-AAAA) 9\' 0.000\" 6 4 Annelisa Kay Cedar Shoals (8-AAAA) 8\' 6.000\" 4 5 Megan Coppage Ringgold (7-AAAA) 8\' 0.000\" 1.5 5 Kate Tooher St. Pius X (6-AAAA) 8\' 0.000\" 1.5 7 Chelsea Denson Salem (8-AAAA) 8\' 0.000\" 0 8 Emily Sneeder Greenbrier (2-AAAA) 7\' 6.000\" 0 8 Lacy Gainey Woodland (7-AAAA) 7\' 6.000\" 0 Team Results 1. North Springs 58 2. Chamblee 35 3. Southwest DeKalb 31 4. Chapel Hill 30 5. Cedar Shoals 30 6. Carver, Columbus 25 7. Heritage 22 8. St. Pius X 21.5 9. Creekside 21 10. Lee County 21 11. Mt. Zion, Jonesboro 20 12. Marist 20 13. Warner Robins 18 14. Northwest Whitfield 16 15. Sandy Creek 16 16. Hiram 15 17. Alexander 14 18. Greenbrier 11 19. Northgate 10 20. Woodward Academy 10 21. Stockbridge 10 22. Habersham Central 4 23. Northside, Warner Robins 4 24. Salem 4 25. Gordon Central 4 26. Ringgold 3.5 27. Douglas County 3 28. Jones County 3 29. Eastside 3 30. Woodland 2 31. Statesboro 2 32. Hardaway 2 33. Eagle\'s Landing 1 34. Washington 1 35. Mays 1 36. Westside, Macon 1 37. Thomas County Central 1 38. South Atlanta 1 39. Clarke Central 1 40. North Atlanta 0 41. Lakeside, DeKalb 0 42. Rockdale County 0 43. Forest Park 0 44. Jonesboro 0 45. Rome 0 46. Americus-Sumter 0 47. Stone Mountain 0 Classification: AAAAA Girls Long Jump Place Name School Distance Points 1 Morgan Joseph Riverdale (2-AAAAA) 18\' 2.500\" 10 2 Stacy Doornbos Lassiter (6-AAAAA) 17\' 10.000\" 8 3 Tiffany Wells Coffee (1-AAAAA) 17\' 7.500\" 6 4 Monique Sonds Lovejoy (4-AAAAA) 17\' 4.250\" 4 5 Bobbie Davis Marietta (5-AAAAA) 17\' 3.500\" 2 6 Shawntey Bryan Groves (3-AAAAA) 17\' 3.000\" 1 7 Alandris Griffin Windsor Forest (3-AAAAA) 17\' 0.750\" 0 8 Nicole Okolo Collins Hill (7-AAAAA) 16\' 11.750\" 0 Girls Shot Put Place Name School Distance Points 1 Emily Sanders Sequoyah (6-AAAAA) 44\' 3.000\" 10 2 Kristin Hart Camden County (3-AAAAA) 43\' 10.000\" 8 3 Amy Mueller Shiloh (8-AAAAA) 42\' 3.000\" 6 4 Eve Machovec Dacula (7-AAAAA) 41\' 0.000\" 4 5 Kristin Smith Sprayberry (5-AAAAA) 40\' 4.000\" 2 6 Chyna Davis Kennesaw Mountain (5-AAAAA) 39\' 0.000\" 1 7 Krystal Thomas Lowndes (1-AAAAA) 38\' 3.000\" 0 8 Ashley Zilles Starr\'s Mill (4-AAAAA) 38\' 2.000\" 0 Girls 1600m Relay Place Name School Time Points 1 Javan Gill Stephenson (2-AAAAA) 3:49.220 10 Toni Moore Tendai Hill Joanna Atkins Jodi Brown Ashley Copeland 2 Javonda Newbold McEachern (5-AAAAA) 3:52.910 8 Vanderlyn Watts Kishelle Paul Alyssa Prioleav Adrienne Smith Britney Taylor 3 Courtney Bryant Redan (2-AAAAA) 3:53.790 6 Diamond Marks Aleesha Barber Erica Richardson Mandice Williams Lakeisha Lee 4 Tasha Woods Mundy\'s Mill (4-AAAAA) 3:54.000 4 Brittany McGhee Renika Ezell Laide Onikoye Diamond Hunnicutt 5 Aisha Frazier Marietta (5-AAAAA) 3:57.870 2 Camille Jones Aiesha Brooks Sasha Richards Brandi Jefferson Nikki Birdsong 6 Katie Davis Brookwood (8-AAAAA) 4:03.550 1 Tamia Thomas Chrissy Bartlett Melanie Trumbo Zoe Jackson Tiara Unterberger 7 Chevy Vincent Collins Hill (7-AAAAA) 4:05.060 0 Lindsey Luce Erin Guglielmo Sheila Eshraghi Pauline Ventura Jackie Drouin 8 Ashley Stewartson Newnan (4-AAAAA) 4:14.770 0 Canesha Edwards Jeanette Whaley Courtney Akomolede Elizabeth Turner Elizabeth Davis Girls Discus Place Name School Distance Points 1 Jasmine Jordan Tift County (1-AAAAA) 144\' 5.000\" 10 2 Eve Machovec Dacula (7-AAAAA) 139\' 10.000\" 8 3 Emily Bernhardt Lassiter (6-AAAAA) 129\' 4.000\" 6 4 Emily Sanders Sequoyah (6-AAAAA) 128\' 8.000\" 4 5 Simone Heath Fayette County (4-AAAAA) 121\' 3.000\" 2 6 Krystal Thomas Lowndes (1-AAAAA) 116\' 8.000\" 1 7 Coshandra Sanders Lithonia (2-AAAAA) 113\' 3.000\" 0 8 Casey Noll Grayson (8-AAAAA) 112\' 2.000\" 0 Girls 400m Relay Place Name School Time Points 1 Javonda Newbold McEachern (5-AAAAA) 47.200 10 Michelle Marble Kishelle Paul Connie Watts Alexia Adams Vanderlyn Watts 2 Aleesha Barber Redan (2-AAAAA) 47.220 8 Courtney Bryant Diamond Marks Erica Richardson 3 Tendai Hill Stephenson (2-AAAAA) 47.590 6 Toni Moore Ashley Copeland Joanna Atkins Javan Gill Courtney Parker 4 Quintesha Greene Bradwell Institute (3-AAAAA) 48.210 4 Ebony Williams Shataqua Williams Crishanda Antoine Kierra Thomas 5 De\'Airra Leonard Shiloh (8-AAAAA) 48.560 2 Tierra Bagley Cam Terrell Naima Hampton 6 Jessica Jackson Roswell (6-AAAAA) 48.900 1 Dena Gebelius Cheiko Phillips Ashtin Montgomery 7 Tiffany Jones Parkview (8-AAAAA) 48.950 0 Caroline Clary Mary Wilson Sephire Tull Micah Clark 8 Adrienna Melvin Lowndes (1-AAAAA) 49.080 0 Star Bradley Chanise Hart Stephanie Sermons Taccara Bivins Girls 100m Dash Place Name School Time Points 1 Andrea Bussey Wheeler (6-AAAAA) 11.980 10 2 Crishanda Antoine Bradwell Institute (3-AAAAA) 12.110 8 3 Courtney Bryant Redan (2-AAAAA) 12.173 6 4 Dawn Hemanes Lithonia (2-AAAAA) 12.185 4 5 Javonda Newbold McEachern (5-AAAAA) 12.491 2 6 Sarah Omatayo Mundy\'s Mill (4-AAAAA) 12.517 1 7 Latayvia Jackson Campbell (5-AAAAA) 12.555 0 8 Aneesha Lane Starr\'s Mill (4-AAAAA) 12.864 0 Girls 200m Dash Place Name School Time Points 1 Lauren Burns Norcross (7-AAAAA) 24.303 10 2 Crishanda Antoine Bradwell Institute (3-AAAAA) 24.541 8 3 Andrea Bussey Wheeler (6-AAAAA) 24.611 6 4 Michelle Marble McEachern (5-AAAAA) 25.265 4 5 Latayvia Jackson Campbell (5-AAAAA) 25.367 2 6 Sarah Omatayo Mundy\'s Mill (4-AAAAA) 25.388 1 7 Courtney Bryant Redan (2-AAAAA) 25.396 0 8 Dawn Hemanes Lithonia (2-AAAAA) 25.621 0 Girls 400m Dash Place Name School Time Points 1 Joanna Atkins Stephenson (2-AAAAA) 56.169 10 2 Diamond Marks Redan (2-AAAAA) 57.996 8 3 Lori Robinson Wheeler (6-AAAAA) 58.085 6 4 Aisha Frazier Marietta (5-AAAAA) 59.320 4 5 Brittany McGhee Mundy\'s Mill (4-AAAAA) 59.470 2 6 Sarah Skogen Woodstock (6-AAAAA) 1:00.523 1 7 Telisa Dixon Campbell (5-AAAAA) 1:00.563 0 Girls 800m Run Place Name School Time Points 1 Brittany Hall Meadowcreek (8-AAAAA) 2:14.058 10 2 Taylor Adams Sprayberry (5-AAAAA) 2:17.909 8 3 Diamond Marks Redan (2-AAAAA) 2:20.424 6 4 Latorya Dopson Osborne (5-AAAAA) 2:22.068 4 5 Laide Onikoye Mundy\'s Mill (4-AAAAA) 2:22.218 2 6 Vicki Macht Walton (6-AAAAA) 2:22.378 1 7 Danielle Shaurette North Gwinnett (7-AAAAA) 2:23.931 0 8 Sara Raiser Parkview (8-AAAAA) 2:27.665 0 Girls 1600m Run Place Name School Time Points 1 Taylor Adams Sprayberry (5-AAAAA) 5:02.861 10 2 Jackie Drouin Collins Hill (7-AAAAA) 5:04.741 8 3 Katie Davis Brookwood (8-AAAAA) 5:08.878 6 4 Katina Zuganelis Kennesaw Mountain (5-AAAAA) 5:11.856 4 5 Leila Norman Walton (6-AAAAA) 5:12.936 2 6 Erin Guglielmo Collins Hill (7-AAAAA) 5:18.382 1 7 Caroline Miller Walton (6-AAAAA) 5:20.916 0 8 Sara Raiser Parkview (8-AAAAA) 5:23.183 0 Girls 3200m Run Place Name School Time Points 1 Jackie Drouin Collins Hill (7-AAAAA) 10:49.989 10 2 Leila Norman Walton (6-AAAAA) 10:55.308 8 3 Haley Conger North Cobb (5-AAAAA) 11:08.308 6 4 Katie Davis Brookwood (8-AAAAA) 11:11.901 4 5 Jennifer Barbi South Forsyth (7-AAAAA) 11:17.269 2 6 Katina Zuganelis Kennesaw Mountain (5-AAAAA) 11:22.691 1 7 Katie Almond South Gwinnett (8-AAAAA) 11:40.990 0 8 Caroline Miller Walton (6-AAAAA) 11:45.652 0 Girls 100m High Hurdles Place Name School Time Points 1 Aleesha Barber Redan (2-AAAAA) 14.023 10 2 Kishelle Paul McEachern (5-AAAAA) 14.437 8 3 Kristin Olson Starr\'s Mill (4-AAAAA) 14.814 6 4 Meggan Vickers Cherokee (6-AAAAA) 14.937 4 5 Samara Gosha Berkmar (8-AAAAA) 15.061 2 6 Nikki Birdsong Marietta (5-AAAAA) 15.113 1 7 Lindsey Luce Collins Hill (7-AAAAA) 15.737 0 8 Nicole Okolo Collins Hill (7-AAAAA) 19.059 0 Girls Triple Jump Place Name School Distance Points 1 Bobbie Davis Marietta (5-AAAAA) 38\' 3.000\" 10 2 Uguchi Okoroafor Roswell (6-AAAAA) 37\' 10.000\" 8 3 Alandris Griffin Windsor Forest (3-AAAAA) 37\' 1.250\" 6 4 Nicole Okolo Collins Hill (7-AAAAA) 36\' 9.500\" 4 5 Erica Penk Dacula (7-AAAAA) 36\' 9.250\" 2 6 Shawntey Bryan Groves (3-AAAAA) 36\' 8.500\" 1 7 Laide Onikoye Mundy\'s Mill (4-AAAAA) 35\' 11.000\" 0 8 Takisha Parham McEachern (5-AAAAA) 35\' 7.000\" 0 Girls 300m Low Hurdles Place Name School Time Points 1 Aleesha Barber Redan (2-AAAAA) 42.452 10 2 Kishelle Paul McEachern (5-AAAAA) 44.189 8 3 Samara Gosha Berkmar (8-AAAAA) 44.968 6 4 Kristin Olson Starr\'s Mill (4-AAAAA) 45.102 4 5 Meggan Vickers Cherokee (6-AAAAA) 45.526 2 6 Janel Wheeler Mundy\'s Mill (4-AAAAA) 46.632 1 7 Nakisha Thompson Groves (3-AAAAA) 47.414 0 Girls High Jump Place Name School Height Points 1 Tiffany Chavis Pope (6-AAAAA) 5\' 6.000\" 10 2 Maya Moore Collins Hill (7-AAAAA) 5\' 4.000\" 8 3 Morgan Jennings Douglass, Atlanta (2-AAAAA) 5\' 4.000\" 6 4 Melanie Trumbo Brookwood (8-AAAAA) 5\' 4.000\" 4 5 Christie Leverette Marietta (5-AAAAA) 5\' 4.000\" 2 6 Cammy Andrews Fayette County (4-AAAAA) 5\' 2.000\" 1 7 Victoria Lee Jenkins (3-AAAAA) 5\' 2.000\" 0 7 Tiffany Trotman Union Grove (4-AAAAA) 5\' 2.000\" 0 Girls Pole Vault Place Name School Height Points 1 Erica Penk Dacula (7-AAAAA) 11\' 0.000\" 10 2 Karena Shell Collins Hill (7-AAAAA) 11\' 0.000\" 7 2 Kelly Bridges Brookwood (8-AAAAA) 11\' 0.000\" 7 4 Lauren Marchman Starr\'s Mill (4-AAAAA) 9\' 6.000\" 4 5 Jenitra Shields Morrow (2-AAAAA) 8\' 6.000\" 1.5 5 Kimber Dowse Grayson (8-AAAAA) 8\' 6.000\" 1.5 7 Kimber Shealy Kennesaw Mountain (5-AAAAA) 8\' 6.000\" 0 8 Allison May Lassiter (6-AAAAA) 8\' 0.000\" 0 Team Results 1. Redan 54 2. McEachern 40 3. Collins Hill 38 4. Stephenson 26 5. Dacula 24 6. Wheeler 22 7. Brookwood 22 8. Marietta 21 9. Bradwell Institute 20 10. Sprayberry 20 11. Sequoyah 14 12. Lassiter 14 13. Starr\'s Mill 14 14. Walton 11 15. Mundy\'s Mill 11 16. Tift County 10 17. Meadowcreek 10 18. Norcross 10 19. Riverdale 10 20. Pope 10 21. Roswell 9 22. Berkmar 8 23. Shiloh 8 24. Camden County 8 25. Windsor Forest 6 26. North Cobb 6 27. Coffee 6 28. Cherokee 6 29. Douglass, Atlanta 6 30. Kennesaw Mountain 6 31. Osborne 4 32. Lovejoy 4 33. Lithonia 4 34. Fayette County 3 35. Campbell 2 36. South Forsyth 2 37. Groves 2 38. Grayson 1.5 39. Morrow 1.5 40. Woodstock 1 41. Lowndes 1 42. North Gwinnett 0 43. Newnan 0 44. Parkview 0 45. Jenkins 0 46. Union Grove 0 47. South Gwinnett 0
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observed positive correlation: Topics by WorldWideScience.org
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Observations of geographically correlated orbit errors for TOPEX/Poseidon using the global positioning system
Science.gov (United States)
Christensen, E. J.; Haines, B. J.; Mccoll, K. C.; Nerem, R. S.
1994-01-01
We have compared Global Positioning System (GPS)-based dynamic and reduced-dynamic TOPEX/Poseidon orbits over three 10-day repeat cycles of the ground-track. The results suggest that the prelaunch joint gravity model (JGM-1) introduces geographically correlated errors (GCEs) which have a strong meridional dependence. The global distribution and magnitude of these GCEs are consistent with a prelaunch covariance analysis, with estimated and predicted global rms error statistics of 2.3 and 2.4 cm rms, respectively. Repeating the analysis with the post-launch joint gravity model (JGM-2) suggests that a portion of the meridional dependence observed in JGM-1 still remains, with global rms error of 1.2 cm.
EEG Correlates of Ten Positive Emotions.
Science.gov (United States)
Hu, Xin; Yu, Jianwen; Song, Mengdi; Yu, Chun; Wang, Fei; Sun, Pei; Wang, Daifa; Zhang, Dan
2017-01-01
Compared with the well documented neurophysiological findings on negative emotions, much less is known about positive emotions. In the present study, we explored the EEG correlates of ten different positive emotions (joy, gratitude, serenity, interest, hope, pride, amusement, inspiration, awe, and love). A group of 20 participants were invited to watch 30 short film clips with their EEGs simultaneously recorded. Distinct topographical patterns for different positive emotions were found for the correlation coefficients between the subjective ratings on the ten positive emotions per film clip and the corresponding EEG spectral powers in different frequency bands. Based on the similarities of the participants' ratings on the ten positive emotions, these emotions were further clustered into three representative clusters, as 'encouragement' for awe, gratitude, hope, inspiration, pride, 'playfulness' for amusement, joy, interest, and 'harmony' for love, serenity. Using the EEG spectral powers as features, both the binary classification on the higher and lower ratings on these positive emotions and the binary classification between the three positive emotion clusters, achieved accuracies of approximately 80% and above. To our knowledge, our study provides the first piece of evidence on the EEG correlates of different positive emotions.
Correlation between working positions and lactic acid levels with musculoskeletal complaints among dentists
Directory of Open Access Journals (Sweden)
Fiory Dioptis Putriwijaya
2016-12-01
Full Text Available Background: Musculoskeletal complaints have been common for dentists since their body is unknowingly often in inappropriate positions when caring for patients. For example, they bend towards patients, suddenly move, and then rotate from one side to another. The repetitive movements are done in long term. High activities and sufficient recovery time can cause a buildup of lactic acid in their blood leading to obstruction of the energy intake from the aerobic system in their muscle cells, resulting in fatigue. As a result, such conditions trigger decreased muscle performances. Purpose: This study aimed to determine the correlation between working positions and lactic acid levels with the risk of musculoskeletal disorders among dentists at Public Health Centers in Surabaya. Method: This research was an analytical observational research using cross sectional approach. Sampling technique used in this research was cluster random sampling with nineteen samples. To evaluate the working positions of those samples, a rapid entire body assessment (REBA method was used. Meanwhile, to observe the musculoskeletal disorders of those samples, a Nordic body map was used. Data obtained then were analyzed using Pearson correlation test with a significance level (p<0.05. Result: Results of data analysis using the Pearson correlation test showed that the significance value obtained was 0.036. It indicates that there was a correlation between the working positions and the lactic acid levels with the musculoskeletal disorders in those dentists. The results of the Pearson correlation test also revealed that there was a correlation between the working positions and the lactic acid levels among those dentists with a significance value of 0.025. Conclusion: It may be concluded that the wrong body positions during working can increase lactic acid level in the body of dentists. The increased level of lactic acid then can affect their muscles, leading to the high risk of
Positive effects of neurofeedback on autism symptoms correlate with brain activation during imitation and observation.
Science.gov (United States)
Datko, Michael; Pineda, Jaime A; Müller, Ralph-Axel
2018-03-01
Autism has been characterized by atypical task-related brain activation and functional connections, coinciding with deficits in sociocommunicative abilities. However, evidence of the brain's experience-dependent plasticity suggests that abnormal activity patterns may be reversed with treatment. In particular, neurofeedback training (NFT), an intervention based on operant conditioning resulting in self-regulation of brain electrical oscillations, has shown increasing promise in addressing abnormalities in brain function and behavior. We examined the effects of â¥Â 20 h of sensorimotor mu-rhythm-based NFT in children with high-functioning autism spectrum disorders (ASD) and a matched control group of typically developing children (ages 8-17). During a functional magnetic resonance imaging imitation and observation task, the ASD group showed increased activation in regions of the human mirror neuron system following the NFT, as part of a significant interaction between group (ASD vs. controls) and training (pre- vs. post-training). These changes were positively correlated with behavioral improvements in the ASD participants, indicating that mu-rhythm NFT may be beneficial to individuals with ASD. © 2017 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.
Observation of spatial quantum correlations induced by multiple scattering of nonclassical light
DEFF Research Database (Denmark)
Smolka, Stephan; Huck, Alexander; Andersen, Ulrik Lund
2009-01-01
and negative spatial quantum correlations are observed when varying the quantum state incident to the multiple scattering medium, and the strength of the correlations is controlled by the number of photons. The experimental results are in excellent agreement with recent theoretical proposals by implementing......We present the experimental realization of spatial quantum correlations of photons that are induced by multiple scattering of squeezed light. The quantum correlation relates photons propagating along two different light paths through the random medium and is infinite in range. Both positive...... the full quantum model of multiple scattering....
Intelligence and Semen Quality Are Positively Correlated
Science.gov (United States)
Arden, Rosalind; Gottfredson, Linda S.; Miller, Geoffrey; Pierce, Arand
2009-01-01
Human cognitive abilities inter-correlate to form a positive matrix, from which a large first factor, called "Spearman's g" or general intelligence, can be extracted. General intelligence itself is correlated with many important health outcomes including cardio-vascular function and longevity. However, the important evolutionary question ofâ¦
Antineutrophil cytoplasm antibody: positivity and clinical correlation.
Science.gov (United States)
MartÃnez Téllez, Goitybell; Torres Rives, Bárbara; Rangel Velázquez, Suchiquil; Sánchez RodrÃguez, Vicky; Ramos RÃos, MarÃa Antonia; Fuentes Smith, Lisset Evelyn
2015-01-01
To determine positivity and clinical correlation of anti-neutrophil cytoplasmic antibodies (ANCA), taking into account the interference of antinuclear antibodies (ANA). A prospective study was conducted in the Laboratory of Immunology of the National Cuban Center of Medical Genetic during one year. Two hounded sixty-seven patients with indication for ANCA determination were included. ANCA and ANA determinations with different cut off points and assays were determined by indirect immunofluorescense. Anti proteinase 3 and antimyeloperoxidase antibodies were determined by ELISA. Most positivity for ANCA was seen in patients with ANCA associated, primary small-vessel vasculitides, rheumatoid arthritis and systemic lupus erythematosus. Presence of ANCA without positivity for proteinase 3 and myeloperoxidase was higher in patients with ANA and little relation was observed between the perinuclear pattern confirmed in formalin and specificity by myeloperoxidase. Highest sensibility and specificity values for vasculitides diagnostic were achieved by ANCA determination using indirect immunofluorescense with a cut off 1/80 and confirming antigenic specificities with ELISA. ANCA can be present in a great number of chronic inflammatory or autoimmune disorders in the population studied. This determination using indirect immunofluorescence and following by ELISA had a great value for vasculitis diagnosis. Anti mieloperoxidasa assay has a higher utility than the formalin assay when ANA is present. Copyright © 2013 Elsevier España, S.L.U. All rights reserved.
Identification of AR(I)MA processes for modelling temporal correlations of GPS observations
Science.gov (United States)
Luo, X.; Mayer, M.; Heck, B.
2009-04-01
In many geodetic applications observations of the Global Positioning System (GPS) are routinely processed by means of the least-squares method. However, this algorithm delivers reliable estimates of unknown parameters und realistic accuracy measures only if both the functional and stochastic models are appropriately defined within GPS data processing. One deficiency of the stochastic model used in many GPS software products consists in neglecting temporal correlations of GPS observations. In practice the knowledge of the temporal stochastic behaviour of GPS observations can be improved by analysing time series of residuals resulting from the least-squares evaluation. This paper presents an approach based on the theory of autoregressive (integrated) moving average (AR(I)MA) processes to model temporal correlations of GPS observations using time series of observation residuals. A practicable integration of AR(I)MA models in GPS data processing requires the determination of the order parameters of AR(I)MA processes at first. In case of GPS, the identification of AR(I)MA processes could be affected by various factors impacting GPS positioning results, e.g. baseline length, multipath effects, observation weighting, or weather variations. The influences of these factors on AR(I)MA identification are empirically analysed based on a large amount of representative residual time series resulting from differential GPS post-processing using 1-Hz observation data collected within the permanent SAPOS® (Satellite Positioning Service of the German State Survey) network. Both short and long time series are modelled by means of AR(I)MA processes. The final order parameters are determined based on the whole residual database; the corresponding empirical distribution functions illustrate that multipath and weather variations seem to affect the identification of AR(I)MA processes much more significantly than baseline length and observation weighting. Additionally, the modelling
Lack of Correlation Between External Fiducial Positions and Internal Tumor Positions During Breath-Hold CT
International Nuclear Information System (INIS)
Hunjan, Sandeep; Starkschall, George; Prado, Karl; Dong Lei; Balter, Peter
2010-01-01
Purpose: For thoracic tumors, if four-dimensional computed tomography (4DCT) is unavailable, the internal margin can be estimated by use of breath-hold (BH) CT scans acquired at end inspiration (EI) and end expiration (EE). By use of external surrogates for tumor position, BH accuracy is estimated by minimizing the difference between respiratory extrema BH and mean equivalent-phase free breathing (FB) positions. We tested the assumption that an external surrogate for BH accuracy correlates with internal tumor positional accuracy during BH CT. Methods and Materials: In 16 lung cancer patients, 4DCT images, as well as BH CT images at EI and EE, were acquired. Absolute differences between BH and mean equivalent-phase (FB) positions were calculated for both external fiducials and gross tumor volume (GTV) centroids as metrics of external and internal BH accuracy, respectively, and the results were correlated. Results: At EI, the absolute difference between mean FB and BH fiducial displacement correlated poorly with the absolute difference between FB and BH GTV centroid positions on CT images (R 2 = 0.11). Similarly, at EE, the absolute difference between mean FB and BH fiducial displacements correlated poorly with the absolute difference between FB and BH GTV centroid positions on CT images (R 2 = 0.18). Conclusions: External surrogates for tumor position are not an accurate metric of BH accuracy for lung cancer patients. This implies that care should be taken when using such an approach because an incorrect internal margin could be generated.
Reduction of EAO Positional Observations Database
Science.gov (United States)
Nefedyev, Yuri; Andreev, Alexey; Demina, Natalya; Churkin, Konstantin
2016-07-01
There is a large data bank of positional observations of Solar System bodies at Engelhadt Astronomical Observatory (EAO). The positional observations include the major planets, except Jupiter. Modern technologies replace classical methods of observations in astronomy and in astrometry as well. At the same time many positional observations have been gathered at astronomical observatories. So taking into account that observations of the past epochs have presenteda great value for astronomy and as times goes by their importance is growing it is obvious that positional astrometry will not lose its practical importance. This was noted in B3 XXIV IAU resolution by the General Assembly. The results of reduction of solar system bodies observations were published mainly in Proceeding of EAO and Transactions of Kazan City Astronomical Observatory. Earlier there have been made about three thousand observations at EAO and Zelenchuk station with the Zeiss telescope (D=400mm, f=2000mm), AFR-18 (photo visual, D=200, f=2000), refractor (D=400mm, f=3450mm), Meniscus camera (D=340mm, f=1200mm), Schmidt camera (D=350mm, f=2000mm). The major planets except Pluto and Neptune were observed with a special cassette chamber equipped with a rotating disk which had an open sector to reduce the brightness of the planets. The dimension of the sector was chosen accordingto the brightness of the planets. The disk was placed in the centre of the astrograph's field. The stars' true brightness was preserved. A large number of catalogues were compiled by the end of the 20th century. We used Tycho-2 catalogue for reducing our observations. As it is known the catalogue Tycho-2 (Tycho-2 catalogue, 2000) includes 2539913 stars. The stars' proper motions given in the catalogue were obtained by comparing positions from Tycho-2 with positions from the Astrographic Catalogue. Therefore they are considered to be highly accurate. The accuracy of stellar positions in Tycho-2 is about 60 mas and the accuracy of
Prevalence and correlates of positive mental health in Chinese adolescents.
Science.gov (United States)
Guo, Cheng; Tomson, Göran; Keller, Christina; Söderqvist, Fredrik
2018-02-17
Studies investigating the prevalence of positive mental health and its correlates are still scarce compared to the studies on mental disorders, although there is growing interest of assessing positive mental health in adolescents. So far, no other study examining the prevalence and determinants of positive mental health in Chinese adolescents has been found. The purpose of this study was to assess the prevalence and correlates of positive mental health in Chinese adolescents. This cross-sectional study used a questionnaire including Mental Health Continuum-Short Form (MHC-SF) and items regarding multiple aspects of adolescent life. The sample involved a total of 5399 students from grade 8 and 10 in Weifang, China. Multivariate Logistic regression analyses were performed to evaluate the associations between potential indicators regarding socio-economic situations, life style, social support and school life and positive mental health and calculate odds ratios and 95% confidence intervals. More than half (57.4%) of the participants were diagnosed as flourishing. The correlated factors of positive mental health in regression models included gender, perceived family economy, the occurrence of sibling(s), satisfaction of self-appearance, physical activity, sleep quality, stress, social trust, desire to learn, support from teachers and parents as well as whether being bullied at school (OR ranging from 1.23 to 2.75). The Hosmer-Lemeshow p-value for the final regression model (0.45) indicated adequate model fit. This study gives the first overview on prevalence and correlates of positive mental health in Chinese adolescents. The prevalence of positive mental health in Chinese adolescents is higher than reported in most of the previous studies also using MHC-SF. Our findings suggest that adolescents with advantageous socio-economic situations, life style, social support and school life are experiencing better positive mental health than others.
Analytic tools for investigating the structure of network reliability measures with regard to observation correlations
Science.gov (United States)
PrószyÅski, W.; KwaÅniak, M.
2018-03-01
A global measure of observation correlations in a network is proposed, together with the auxiliary indices related to non-diagonal elements of the correlation matrix. Based on the above global measure, a specific representation of the correlation matrix is presented, being the result of rigorously proven theorem formulated within the present research. According to the theorem, each positive definite correlation matrix can be expressed by a scale factor and a so-called internal weight matrix. Such a representation made it possible to investigate the structure of the basic reliability measures with regard to observation correlations. Numerical examples carried out for two test networks illustrate the structure of those measures that proved to be dependent on global correlation index. Also, the levels of global correlation are proposed. It is shown that one can readily find an approximate value of the global correlation index, and hence the correlation level, for the expected values of auxiliary indices being the only knowledge about a correlation matrix of interest. The paper is an extended continuation of the previous study of authors that was confined to the elementary case termed uniform correlation. The extension covers arbitrary correlation matrices and a structure of correlation effect.
The CNâCH Positive Correlation in the Globular Cluster NGC 5286
Energy Technology Data Exchange (ETDEWEB)
Lim, Dongwook; Hong, Seungsoo; Lee, Young-Wook, E-mail: dwlim@yonsei.ac.kr, E-mail: ywlee2@yonsei.ac.kr [Center for Galaxy Evolution Research and Department of Astronomy, Yonsei University, Seoul 03722 (Korea, Republic of)
2017-07-20
We performed low-resolution spectroscopy of the red giant stars in the Galactic globular cluster (GC) NGC 5286, which is known to show intrinsic heavy element abundance variations. We found that the observed stars in this GC are clearly divided into three subpopulations by CN index (CN-weak, CN-intermediate, and CN-strong). The CN-strong stars are also enhanced in the calcium HKâ² (7.4 Ï ) and CH (5.1 Ï ) indices, while the CN-intermediate stars show no significant difference in the strength of the HKâ² index from the CN-weak stars. From the comparison with high-resolution spectroscopic data, we found that the CN- and HKâ²-strong stars are also enhanced in the abundances of Fe and s -process elements. It appears, therefore, that these stars are later-generation stars affected by some supernova enrichment in addition to the asymptotic giant branch ejecta. In addition, unlike normal GCs, sample stars in NGC 5286 show the CNâCH positive correlation, strengthening our previous suggestion that this positive correlation is only discovered in GCs with heavy element abundance variations, such as M22 and NGC 6273.
Positive Noise Cross Correlation in a Copper Pair Splitter.
Science.gov (United States)
Das, Anindya; Ronen, Yuval; Heiblum, Moty; Shtrikman, Hadas; Mahalu, Diana
2012-02-01
Entanglement is in heart of the Einstein-Podolsky-Rosen (EPR) paradox, in which non-locality is a fundamental property. Up to date spin entanglement of electrons had not been demonstrated. Here, we provide direct evidence of such entanglement by measuring: non-local positive current correlation and positive cross correlation among current fluctuations, both of separated electrons born by a Cooper-pair-beam-splitter. The realization of the splitter is provided by injecting current from an Al superconductor contact into two, single channel, pure InAs nanowires - each intercepted by a Coulomb blockaded quantum dot (QD). The QDs impedes strongly the flow of Cooper pairs allowing easy single electron transport. The passage of electron in one wire enables the simultaneous passage of the other in the neighboring wire. The splitting efficiency of the Cooper pairs (relative to Cooper pairs actual current) was found to be Ë 40%. The positive cross-correlations in the currents and their fluctuations (shot noise) are fully consistent with entangled electrons produced by the beam splitter.
Observation of correlated atom pairs in spontaneous four wave mixing of two colliding Bose-Einstein condensates; Observation de paires d'atomes correles au travers de la collision de deux condensats de Bose-Einstein
Energy Technology Data Exchange (ETDEWEB)
Perrin, A
2007-11-15
In this thesis, we report on the observation of pairs of correlated atoms produced in the collision of two Bose-Einstein condensates of metastable helium. Three laser beams perform a Raman transfer which extracts the condensate from the magnetic trap and separates it into two parts with opposite mean momenta. While the condensates propagate, elastic scattering of pairs of atoms occurs, whose momenta satisfy energy and momentum conservation laws. Metastable helium atoms large internal energy allows the use of a position-sensitive, single-atom detector which permits a three-dimensional reconstruction of the scattered atoms'momenta. The statistics of these momenta show correlations for atoms with opposite momenta. The measured correlation volume can be understood from the uncertainty-limited momentum spread of the colliding condensates. This interpretation is confirmed by the observation of the momentum correlation function for two atoms scattered in the same direction. This latter effect is a manifestation of the Hanbury Brown-Twiss effect for indistinguishable bosons. Such a correlated-atom-pair source is a first step towards experiments in which one would like to confirm the pairs'entanglement. (author)
Pelvic floor muscle strength evaluation in different body positions in nulliparous healthy women and its correlation with sexual activity
Directory of Open Access Journals (Sweden)
Monica Orsi Gameiro
2013-12-01
Full Text Available Objective The aim of this study was to assess pelvic floor muscle (PFM strength in different body positions in nulliparous healthy women and its correlation with sexual activity. Materials and Methods Fifty healthy nulliparous women with mean age of 23 years were prospectively studied. Subjective evaluation of PFM was assessed by transvaginal digital palpation (TDP of anterior and posterior areas regarding the vaginal introitus. A perineometer with inflatable vaginal probe was used to assess the PFM strength in four different positions: supine with extended lower limbs (P1; bent-knee supine (P2; sitting (P3; standing (P4. Results Physical activity, 3 times per week, was reported by 58% of volunteers. Sexual activity was observed in 80% of women and 82% of them presented orgasm. The average body mass index (BMI was 21.76 kg/m2, considered as normal according World Health Organization (WHO. We observed that 68% of volunteers were conscious about the PFM contraction. TDP showed concordance of 76% when anterior and posterior areas were compared (p = 0.00014. There was not correlation between PFM strength and orgasm in subjective evaluation. The PFM strength was significantly higher in standing position when compared with the other positions (p < 0.000. No statistical difference was observed between orgasm and PFM strength when objective evaluations were performed. Conclusions There was concordance between anterior and posterior areas in 76% of cases when subjective PFM strength was assessed. In objective evaluation, higher PFM strength was observed when volunteers were standing. No statistical correlation was observed between PFM strength and orgasm in nulliparous healthy women.
Positive-operator-valued measure optimization of classical correlations
NARCIS (Netherlands)
Hamieh, S; Kobes, R; Zaraket, H
We study the problem of optimization over positive-operator-valued measures to extract classical correlation in a bipartite quantum system. The proposed method is applied to binary states only. Moreover, to illustrate this method, an explicit example is studied in detail.
On the relationship between positive and negative affect: Their correlation and their co-occurrence.
Science.gov (United States)
Larsen, Jeff T; Hershfield, Hal E; Stastny, Bradley J; Hester, Neil
2017-03-01
Understanding the nature of emotional experience requires understanding the relationship between positive and negative affect. Two particularly important aspects of that relationship are the extent to which positive and negative affect are correlated with one another and the extent to which they co-occur. Some researchers have assumed that weak negative correlations imply greater co-occurrence (i.e., more mixed emotions) than do strong negative correlations, but others have noted that correlations may imply very little about co-occurrence. We investigated the relationship between the correlation between positive and negative affect and co-occurrence. Participants in each of 2 samples provided moment-to-moment happiness and sadness ratings as they watched an evocative film and listened to music. Results indicated (a) that 4 measures of the correlation between positive and negative affect were quite highly related to 1 another; (b) that the strength of the correlation between measures of mixed emotions varied considerably; (c) that correlational measures were generally (but not always) weakly correlated with mixed emotion measures; and (d) that bittersweet stimuli consistently led to elevations in mixed emotion measures but did not consistently weaken the correlation between positive and negative affect. Results highlight that the correlation between positive and negative affect and their co-occurrence are distinct aspects of the relationship between positive and negative affect. Such insight helps clarify the implications of existing work on age-related and cultural differences in emotional experience and sets the stage for greater understanding of the experience of mixed emotions. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Lateral sesamoid position in hallux valgus: correlation with the conventional radiological assessment.
Science.gov (United States)
Agrawal, Yuvraj; Desai, Aravind; Mehta, Jaysheel
2011-12-01
We aimed to quantify the severity of the hallux valgus based on the lateral sesamoid position and to establish a correlation of our simple assessment method with the conventional radiological assessments. We reviewed one hundred and twenty two dorso-plantar weight bearing radiographs of feet. The intermetatarsal and hallux valgus angles were measured by the conventional methods; and the position of lateral sesamoid in relation to first metatarsal neck was assessed by our new and simple method. Significant correlation was noted between intermetatarsal angle and lateral sesamoid position (Rho 0.74, p lateral sesamoid position and hallux valgus angle (Rho 0.56, p lateral sesamoid position is simple, less time consuming and has statistically significant correlation with that of the established conventional radiological measurements. Copyright © 2011 European Foot and Ankle Society. Published by Elsevier Ltd. All rights reserved.
Observation of correlated atom pairs in spontaneous four wave mixing of two colliding Bose-Einstein condensates; Observation de paires d'atomes correles au travers de la collision de deux condensats de Bose-Einstein
Energy Technology Data Exchange (ETDEWEB)
Perrin, A
2007-11-15
In this thesis, we report on the observation of pairs of correlated atoms produced in the collision of two Bose-Einstein condensates of metastable helium. Three laser beams perform a Raman transfer which extracts the condensate from the magnetic trap and separates it into two parts with opposite mean momenta. While the condensates propagate, elastic scattering of pairs of atoms occurs, whose momenta satisfy energy and momentum conservation laws. Metastable helium atoms large internal energy allows the use of a position-sensitive, single-atom detector which permits a three-dimensional reconstruction of the scattered atoms'momenta. The statistics of these momenta show correlations for atoms with opposite momenta. The measured correlation volume can be understood from the uncertainty-limited momentum spread of the colliding condensates. This interpretation is confirmed by the observation of the momentum correlation function for two atoms scattered in the same direction. This latter effect is a manifestation of the Hanbury Brown-Twiss effect for indistinguishable bosons. Such a correlated-atom-pair source is a first step towards experiments in which one would like to confirm the pairs'entanglement. (author)
Positive Aspects of Caregiving and Its Correlates among Caregivers of Bipolar Affective Disorder.
Science.gov (United States)
Grover, S; Kate, N; Chakrabarti, S; Avasthi, A
2017-12-01
To evaluate the positive aspects of caregiving and its correlates (socio-demographic and clinical variables, caregiver burden, coping, quality of life, psychological morbidity) in the primary caregivers of patients with bipolar affective disorder (BPAD). A total of 60 primary caregivers of patients with a diagnosis of BPAD were evaluated on the Scale for Positive Aspects of Caregiving Experience (SPACE) and the Hindi version of Involvement Evaluation Questionnaire, Family Burden Interview Schedule (FBIS), modified Hindi version of Coping Checklist, shorter Hindi version of the World Health Organization Quality of Life (WHOQOL-BREF), and Hindi translated version of 12-item General Health Questionnaire (GHQ-12). Caregivers of patients with BPAD had the highest mean score in the SPACE domain of Motivation for caregiving role (2.45), followed by Caregiver satisfaction (2.38) and Caregiving personal gains (2.20). The mean score was the lowest for the domain of Self-esteem and social aspect of caring (2.01). In terms of correlations, age of onset of BPAD had a negative correlation with various domains of SPACE. The mean number of total lifetime affective and depressive episodes correlated positively with Self-esteem and social aspect of caring. Caregiver satisfaction correlated negatively with FBIS domains of Disruption of routine family activities, Effect on mental health of others, and subjective burden. Coercion as a coping mechanism correlated positively with domains of Caregiving personal gains, Caregiver satisfaction, and the total score on SPACE. Three (Physical health, Psychological health, Environment) out of 5 domains of the WHOQOL-BREF correlated positively with the total SPACE score. No association was noted between GHQ-12 and SPACE scores. Positive caregiving experience in primary caregivers of patients with BPAD is associated with better quality of life of the caregivers.
Observation of correlated atom pairs in spontaneous four wave mixing of two colliding Bose-Einstein condensates
International Nuclear Information System (INIS)
Perrin, A.
2007-11-01
In this thesis, we report on the observation of pairs of correlated atoms produced in the collision of two Bose-Einstein condensates of metastable helium. Three laser beams perform a Raman transfer which extracts the condensate from the magnetic trap and separates it into two parts with opposite mean momenta. While the condensates propagate, elastic scattering of pairs of atoms occurs, whose momenta satisfy energy and momentum conservation laws. Metastable helium atoms large internal energy allows the use of a position-sensitive, single-atom detector which permits a three-dimensional reconstruction of the scattered atoms'momenta. The statistics of these momenta show correlations for atoms with opposite momenta. The measured correlation volume can be understood from the uncertainty-limited momentum spread of the colliding condensates. This interpretation is confirmed by the observation of the momentum correlation function for two atoms scattered in the same direction. This latter effect is a manifestation of the Hanbury Brown-Twiss effect for indistinguishable bosons. Such a correlated-atom-pair source is a first step towards experiments in which one would like to confirm the pairs'entanglement. (author)
Observing position and movements in hydrotherapy: a pilot study.
Science.gov (United States)
Stark, Mary Ann; Rudell, Barb; Haus, George
2008-01-01
To observe and describe the positions and movements women choose while immersed in water during the first stage of labor. Descriptive, observational pilot study. A rural community hospital that provided hydrotherapy in labor. Women (N = 7) who intended to use hydrotherapy in labor were recruited prenatally from a midwife-managed practice. For 15 minutes of each hour during the first stage of labor, position and movements of the participants were observed and recorded on a laptop computer. The observational tool was developed for this study from a review of the literature and interviews with nursing experts; 435 observations were recorded. Women were free to choose when and how long to use hydrotherapy and had no restriction on their positions and movements. Only 3 of the 7 participants labored in the tub. Women demonstrated a greater range of positions and movements in the tub than in bed, both throughout labor and during late first-stage labor (7-10 cm of dilatation). Women had more contractions and made more rhythmic movements while in the tub than in bed. Hydrotherapy may encourage upright positions and movements that facilitate labor progress and coping, helping women avoid unnecessary interventions.
Characterisation of false-positive observations in botanical surveys
Directory of Open Access Journals (Sweden)
Quentin J. Groom
2017-05-01
Full Text Available Errors in botanical surveying are a common problem. The presence of a species is easily overlooked, leading to false-absences; while misidentifications and other mistakes lead to false-positive observations. While it is common knowledge that these errors occur, there are few data that can be used to quantify and describe these errors. Here we characterise false-positive errors for a controlled set of surveys conducted as part of a field identification test of botanical skill. Surveys were conducted at sites with a verified list of vascular plant species. The candidates were asked to list all the species they could identify in a defined botanically rich area. They were told beforehand that their final score would be the sum of the correct species they listed, but false-positive errors counted against their overall grade. The number of errors varied considerably between people, some people create a high proportion of false-positive errors, but these are scattered across all skill levels. Therefore, a personâs ability to correctly identify a large number of species is not a safeguard against the generation of false-positive errors. There was no phylogenetic pattern to falsely observed species; however, rare species are more likely to be false-positive as are species from species rich genera. Raising the threshold for the acceptance of an observation reduced false-positive observations dramatically, but at the expense of more false negative errors. False-positive errors are higher in field surveying of plants than many people may appreciate. Greater stringency is required before accepting species as present at a site, particularly for rare species. Combining multiple surveys resolves the problem, but requires a considerable increase in effort to achieve the same sensitivity as a single survey. Therefore, other methods should be used to raise the threshold for the acceptance of a species. For example, digital data input systems that can verify
Observation of correlated azimuthal anisotropy Fourier harmonics in pp and pPb collisions at the LHC
Energy Technology Data Exchange (ETDEWEB)
Sirunyan, Albert M; et al.
2017-09-26
The azimuthal anisotropy Fourier coefficients ($v_n$) in 8.16 TeV pPb data are extracted via long-range two-particle correlations as a function of event multiplicity and compared to corresponding results in pp and PbPb collisions. Using a four-particle cumulant technique, $v_n$ correlations are measured for the first time in pp and pPb collisions. The $v_2$ and $v_4$ coefficients are found to be positively correlated in all collision systems. For high multiplicity pPb collisions an anticorrelation of $v_2$ and $v_3$ is observed, with a similar correlation strength as in PbPb data at the same multiplicity. The new correlation results strengthen the case for a common origin of the collectivity seen in pPb and PbPb collisions in the measured multiplicity range.
Study of correlations of positive and negative charged particles
International Nuclear Information System (INIS)
Takahashi, Y.; Chan, C.H.; Dong, B.L.; Duthie, J.G.; Gregory, J.C.; Hayashi, T.; Yokomi, H.; Christl, M.J.; Derrickson, J.H.; Eby, P.B.; Fountain, W.F.; Parnell, T.A.; Roberts, F.E.; Nagamiya, S.; Dake, S.; Tominaga, T.; Fuki, M.; Iyono, A.; Ogata, T.; Miyamura, O.
1991-01-01
Particle correlations of the central collision events of 32 S + Pb at 200 GeV/AMU have been studied by utilizing a Magnetic-Interferomagnetic-Emulsion-Chamber (MAGIC) detector. Particle angles, momentum, and charge-signs are measured for all produced charged tracks for each event. Two-particle correlation functions, C 2 = dN (vertical strokep 1 - p 2 vertical stroke = q)/dp 1 dp 2 , for (++), (--) and (+-) particles are examined. A source radius around 4 - 6 fm is observed for overall identical particle correlations, while unexpected short-range correlations of unlike-sign pairs are observed in the high rapidity region. An analysis of unlike-sign pairs in terms of resonance decays indicated that a large amount (40% relative to pions) of η or Ï mesons (decaying into 3 Ï), or of scalar iso-scalar Ï mesons (decaying into 2 Ï) would be required to explain some of the data. Multi-particle charge-sign clusters are recognized; however, their 'run-test' and 'conjugate-test' show small deviations from statistical fluctuations. (orig.)
The Correlation of Initial Sputum Smear Positivity on Treatment Failure of Category 1 Therapy for Pulmonary Tuberculosis
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Puput Dyah Ayu
2016-11-01
Full Text Available Tuberculosis is an infectious disease and is an important public health problem. Based on data from East Java Province Health Department reported that number of tuberculosis patient in Surabaya is the highest in East Java on year 2014. Early identification and good treatment based on the result of sputum identification are the strategy use to control tuberculosis widespread. So that why, microscopic observation to identify acid fast bacilli (AFB is the fundamental stage to determine recovery treatment. Initial sputum smear positivity is necessary to determine infectious graded. The objectives of the study were to identify of initial sputum smear positivity on treatment failure of category 1 therapy for pulmonary tuberculosis in RS Paru Surabaya year 2011-2014. This study used case control method with quantitative approach. Forty two samples were taken from secondary data. Case group is 21 samples who have treatment failure and control group is 21 successful treatment. Samples were selected by simple random sampling. The chi square correlation showed that highly positive initial smear (p = 0,045; OR = 5,4 have correlated and risk factor to treatment failure on category 1 therapy for pulmonary tuberculosis. The conclusion is patientâs high positive sputum smear initially correlated to treatment failure on category 1 therapy for pulmonary tuberculosis in RS Paru Surabaya year 2011â2014. Keywords: initial sputum smear positivity, treatment failure,, category 1 therapy for pulmonary tuberculosis
Positive Correlation Between Academic Library Services and High-Impact Practices for
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Saori Wendy Herman, MLIS, AHIP
2016-03-01
Full Text Available Objective â To investigate the perceived alignment between academic library services and high-impact practices (HIPs that affect student retention. Design â Survey questionnaire. Setting â Public comprehensive universities in the United States of America with a Carnegie classification of masterâs level as of January 2013. Subjects â 68 library deans or directors out of the 271 who were originally contacted. Methods â The author used Qualtrics software to create a survey based on the HIPs, tested the survey for reliability, and then distributed it to 271 universities. Library services were grouped into 1 of 3 library scales: library collection, library instruction, or library facilities. The survey consisted of a matrix of 10 Likert-style questions addressing the perceived level of alignment between the library scales and the HIPs. Each question provided an opportunity for the respondent to enter a âbrief description of support practicesâ (p 477. Additional demographic questions addressed the years of experience of the respondent, undergraduate student enrollment of the university, and whether librarians held faculty rank. Main Results â The author measured Pearson correlation coefficients and found a positive correlation between the library scales and the HIPs. All three library scales displayed a moderately strong positive correlation between first-year seminars and experiences (HIP 1, common intellectual experiences (HIP 2, writing-intensive courses (HIP 4, undergraduate research (HIP 6, diversity and global learning (HIP 7, service learning and community-based learning (HIP 8, internships (HIP 9, and capstone courses and projects (HIP 10. The library collections scale and library facilities scale displayed a moderately strong correlation with learning communities (HIP 3 and collaborative assignments and projects (HIP 5. The library instruction scale displayed a strong positive correlation with HIP 3 and a very strong
Observation of Correlated Azimuthal Anisotropy Fourier Harmonics in pp and p+Pb Collisions at the LHC.
Science.gov (United States)
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Odell, N; Pollack, B; Schmitt, M H; Sung, K; Trovato, M; Velasco, M; Dev, N; Hildreth, M; Hurtado Anampa, K; Jessop, C; Karmgard, D J; Kellams, N; Lannon, K; Loukas, N; Marinelli, N; Meng, F; Mueller, C; Musienko, Y; Planer, M; Reinsvold, A; Ruchti, R; Smith, G; Taroni, S; Wayne, M; Wolf, M; Woodard, A; Alimena, J; Antonelli, L; Bylsma, B; Durkin, L S; Flowers, S; Francis, B; Hart, A; Hill, C; Ji, W; Liu, B; Luo, W; Puigh, D; Winer, B L; Wulsin, H W; Cooperstein, S; Driga, O; Elmer, P; Hardenbrook, J; Hebda, P; Higginbotham, S; Lange, D; Luo, J; Marlow, D; Mei, K; Ojalvo, I; Olsen, J; Palmer, C; Piroué, P; Stickland, D; Tully, C; Malik, S; Norberg, S; Barker, A; Barnes, V E; Das, S; Folgueras, S; Gutay, L; Jha, M K; Jones, M; Jung, A W; Khatiwada, A; Miller, D H; Neumeister, N; Peng, C C; Schulte, J F; Sun, J; Wang, F; Xie, W; Cheng, T; Parashar, N; Stupak, J; Adair, A; Akgun, B; Chen, Z; Ecklund, K M; Geurts, F J M; Guilbaud, M; Li, W; Michlin, B; Northup, M; Padley, B P; Roberts, J; 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Volobouev, I; Wang, Z; Greene, S; Gurrola, A; Janjam, R; Johns, W; Maguire, C; Melo, A; Ni, H; Padeken, K; Sheldon, P; Tuo, S; Velkovska, J; Xu, Q; Barria, P; Cox, B; Hirosky, R; Joyce, M; Ledovskoy, A; Li, H; Neu, C; Sinthuprasith, T; Wang, Y; Wolfe, E; Xia, F; Harr, R; Karchin, P E; Sturdy, J; Zaleski, S; Brodski, M; Buchanan, J; Caillol, C; Dasu, S; Dodd, L; Duric, S; Gomber, B; Grothe, M; Herndon, M; Hervé, A; Hussain, U; Klabbers, P; Lanaro, A; Levine, A; Long, K; Loveless, R; Pierro, G A; Polese, G; Ruggles, T; Savin, A; Smith, N; Smith, W H; Taylor, D; Woods, N
2018-03-02
The azimuthal anisotropy Fourier coefficients (v_{n}) in 8.16Â TeV p+Pb data are extracted via long-range two-particle correlations as a function of the event multiplicity and compared to corresponding results in pp and PbPb collisions. Using a four-particle cumulant technique, v_{n} correlations are measured for the first time in pp and p+Pb collisions. The v_{2} and v_{4} coefficients are found to be positively correlated in all collision systems. For high-multiplicity p+Pb collisions, an anticorrelation of v_{2} and v_{3} is observed, with a similar correlation strength as in PbPb data at the same multiplicity. The new correlation results strengthen the case for a common origin of the collectivity seen in p+Pb and PbPb collisions in the measured multiplicity range.
Correlation between oro and hypopharynx shape and position with endotracheal intubation difficulty
Directory of Open Access Journals (Sweden)
Daher Rabadi
2014-12-01
Full Text Available Background and objective: Prediction of intubation difficulty can save patients from major preoperative morbidity or mortality. The purpose of this paper is to assess the correlation between oro-hypo pharynx position, neck size, and length with endotracheal intubation difficulty. The study also explored the diagnostic value of Friedman Staging System in prediction cases with difficult intubation. Method: The consecutive 500 ASA (I, II adult patients undergoing elective surgery were evaluated for oro and hypopharynx shape and position by modified Mallampati, Cormack and Lehane score as well as Friedman obstructive sleep apnea classification systems. Neck circumference and length were also measured. All cases were intubated by a single anesthesiologist who was uninformed of the above evaluation and graded intubation difficulty in visual analog score. Correlation between these findings and difficulty of intubation was assessed. Sensitivity, Specificity, Positive and Negative Predictive Values were also reported. Results: Cormack-Lehane grade had the strongest correlation with difficulty of intubation followed by Friedman palate position. Friedman palate position was the most sensitive and had higher positive and negative predictive values than modified Mallampati classification. Cormack-Lehane grade was found to be the most specific with the highest negative predictive value among the four studied classifications. Conclusion: Friedman palate position is a more useful, valuable and sensitive test compared to the modified Mallampati screening test for pre-anesthetic prediction of difficult intubation where its involvement in Multivariate model may raise the accuracy and diagnostic value of preoperative assessment of difficult airway.
On the origin of the correlations between Gamma-Ray Burst observables
CERN Document Server
Dado, S; De Rújula, Alvaro; Dado, Shlomo; Dar, Arnon
2007-01-01
Several pairs of observable properties of Gamma Ray Bursts (GRBs) are known to be correlated. Many such correlations are straightforward predictions of the 'cannonball' model of GRBs. We extend our previous discussions of the subject to a wealth of new data, and to correlations between 'lag-time', 'variability' and 'minimum rise-time', with other observables. Schaefer's recent systematic analysis of the observations of many GRBs of known red-shift gives us a good and updated data-basis for our study.
Positive Correlation of Serum Adiponectin with Lipid Profile in Patients with Type 2 Diabetes Mellitus is Affected by Metabolic Syndrome Status.
Science.gov (United States)
Eslamian, Mohammad; Mohammadinejad, Payam; Aryan, Zahra; Nakhjavani, Manouchehr; Esteghamati, Alireza
2016-04-01
Type-2 diabetes mellitus (DM) and Metabolic syndrome (MetS) are both associated with dyslipidemia which may lead to development of vascular complications. Adiponectin is an anti-inflammatory protein synthesized by the adipose tissue. There is controversy regarding the association of adiponectin with lipid profile. To evaluate the correlation between serum adiponectin concentration and metabolic profile in patients with type-2 DM. A single center cross-sectional study was conducted on 173 patients with type-2 DM (82 males and 91 females). Plasma adiponectin concentration, lipid profile, glucose profile, and anthropometric features were investigated. Insulin resistance was determined using Homeostasis model assessment (HOMA). Correlation of serum adiponectin with lipid profile of patients with type-2 DM was assessed. Adiponectin was negatively correlated with waist circumference (r = -0.16, P = 0.06) and positively with HbA1c (r = 0.19, P = 0.032), total cholesterol (r = 0.23, P = 0.017), LDL (r = 0.30, P = 0.001), SD-LDL (r = 0.41, P < 0.001), and SD-LDL/LDL (r = 0.22, P = 0.023). We found a positive correlation between adiponectin and total cholesterol (r = 0.27, P = 0.055), LDL (r = 0.34, P = 0.026) and SD-LDL (r = 0.41, P = 0.006) in patients with at least 3 components of MetS criteria. Correlation of adiponectin with LDL and SD-LDL remained positively significant with increasing the number of MetS components. In patients with 5 components of MetS, serum adiponectin was significantly correlated with serum triglyceride (r = 0.89). Significant interaction was observed between adiponectin and metabolic syndrome in relation to serum lipid profile. The results of the present study suggest that in patients with type-2 DM and MetS, lipid profile is strongly correlated with blood concentration of adiponectin. The strongest association was observed between serum adiponectin and LDL.
Habitual physical activity levels are positively correlated with CD4 ...
African Journals Online (AJOL)
Habitual physical activity levels are positively correlated with CD4 counts in an ... per month) and functional independence as assessed from the responses to the ... and between CD4 cell counts and total habitual physical activity levels (p ...
Correlation of regional cerebral blood flow and positive/negative symptoms in schizophrenic patients: covariate SPM analysis
Energy Technology Data Exchange (ETDEWEB)
Lim, Ki Chun; Kim, J. S.; Kim, C. Y.; Lee, H. K.; Moon, D. H. [Ulsan University, Seoul (Korea, Republic of)
2002-07-01
We investigated the relations between rCBF and psychopathology in schizophrenic patients using a SPM99. Thirty-two patients(M/F:22/10, 25{+-}5,6yr) with active symptoms of schizophrenia and 15 age matched normal controls underwent Tc-99m ECD brain perfusion SPECT. Psychopathology of all patients were also assessed according to PANSS (positive and negative syndrome scale in schizophrenia). By covariate SPM analysis, specific areas where rCBF correlated with sum scores of positive/negative synptoms were identified. Regional CBF of schizophrenics was different in several cortical regions from normal controls. Sum scores of positive symptoms were positively correlated with rCBF of both rectal and inferior frontal gyri and right transverse temporal gyrus, and negatively correlated with rCBF of left lingual and right middle temporal gyri (p<0.01). Sum scores of negative symptoms were positively correlated with rCBF of both middle temporal gyri and negatively correlated with rCBF of right superior parietal lobule and medial frontal gyrus (p<0.01). Positive and negative symptoms of schizophrenia were correlated with rCBF change in different regions of cerebral association cortex.
Correlation of regional cerebral blood flow and positive/negative symptoms in schizophrenic patients: covariate SPM analysis
International Nuclear Information System (INIS)
Lim, Ki Chun; Kim, J. S.; Kim, C. Y.; Lee, H. K.; Moon, D. H.
2002-01-01
We investigated the relations between rCBF and psychopathology in schizophrenic patients using a SPM99. Thirty-two patients(M/F:22/10, 25±5,6yr) with active symptoms of schizophrenia and 15 age matched normal controls underwent Tc-99m ECD brain perfusion SPECT. Psychopathology of all patients were also assessed according to PANSS (positive and negative syndrome scale in schizophrenia). By covariate SPM analysis, specific areas where rCBF correlated with sum scores of positive/negative synptoms were identified. Regional CBF of schizophrenics was different in several cortical regions from normal controls. Sum scores of positive symptoms were positively correlated with rCBF of both rectal and inferior frontal gyri and right transverse temporal gyrus, and negatively correlated with rCBF of left lingual and right middle temporal gyri (p<0.01). Sum scores of negative symptoms were positively correlated with rCBF of both middle temporal gyri and negatively correlated with rCBF of right superior parietal lobule and medial frontal gyrus (p<0.01). Positive and negative symptoms of schizophrenia were correlated with rCBF change in different regions of cerebral association cortex
Correlation of circRNAsâ differential expression to negative- positive symptoms of patients with schizophrenia
Directory of Open Access Journals (Sweden)
Ling-ming KONG
2017-11-01
Full Text Available Objective To explore the correlation of circRNAs' expression level to the negative- and positive symptoms of patients with schizophrenia (SZ. Methods Gene chip screening was performed with the peripheral blood samples from each five of SZ patients and normal controls. Nine circRNAs showing differentiate expression were confirmed, and further verification was done by real-time fluorescence quantitative PCR in 102 SZ patients and 103 normal controls. All the SZ patients were assessed with Positive and Negative Symptom Scale (PANSS. Results It was revealed that the expression levels of circRNA_102101, circRNA_102315, circRNA_104597, circRNA_101835 and circRNA_101836 were significantly down-regulated (P<0.01 or P<0.05, and circRNA_103102 and circRNA_103704 were up-regulated in SZ group (P<0.01. The ÎCT value of circRNA_102101 and circRNA_103102 was positively correlated to the positive symptoms (P<0.01 or P<0.05, and the ÎCT value of circRNA_103704 also showed positive correlation with positive symptoms and general psychopathological symptoms (P<0.01 or P<0.05. The ÎCT values of circRNA_102101, circRNA_103102, circRNA_102315, circRNA_103704 and circRNA_102802 were correlated with thinking disorder (P<0.01 or P<0.05, and the ÎCT values of circRNA_102101, circRNA_103102, circRNA_104597, circRNA_103704 and circRNA_102802 were correlated with the activation (P<0.01 or P<0.05. The ÎCT values of circRNA_102101, circRNA_103102, circRNA_103704 and circRNA_102802 were positively correlated with paranoid (P<0.01 or P<0.05, and of circRNA_102101, circRNA_103102, circRNA_103704 and circRNA_102802 were markedly correlated with assault (P<0.01 or P<0.05. Therefore, circRNA_103704 was chosen into regressive equation of positive symptoms (P<0.01, and circRNA_103704 and circRNA_102315 were chosen into regressive equation of general pathological findings (P<0.01 or P<0.05. Conclusion The expression levels of circRNA_103704 and circRNA_103102 are obviously up
The effect of correlated observations on the performance of distributed estimation
KAUST Repository
Ahmed, Mohammed
2013-12-01
Estimating unknown signal in Wireless Sensor Networks (WSNs) requires sensor nodes to transmit their observations of the signal over a multiple access channel to a Fusion Center (FC). The FC uses the received observations, which is corrupted by observation noise and both channel fading and noise, to find the minimum Mean Square Error (MSE) estimate of the signal. In this paper, we investigate the effect of the source-node correlation (the correlation between sensor node observations and the source signal) and the inter-node correlation (the correlation between sensor node observations) on the performance of the Linear Minimum Mean Square Error (LMMSE) estimator for three correlation models in the presence of channel fading. First, we investigate the asymptotic behavior of the achieved distortion (i.e., MSE) resulting from both the observation and channel noise in a non-fading channel. Then, the effect of channel fading is considered and the corresponding distortion outage probability, the probability that the distortion exceeds a certain value, is found. By representing the distortion as a ratio of indefinite quadratic forms, a closed-form expression is derived for the outage probability that shows its dependency on the correlation. Finally, the new representation of the outage probability allows us to propose an iterative solution for the power allocation problem to minimize the outage probability under total and individual power constraints. Numerical simulations are provided to verify our analytic results. © 2013 IEEE.
Correlation between human observer performance and model observer performance in differential phase contrast CT
International Nuclear Information System (INIS)
Li, Ke; Garrett, John; Chen, Guang-Hong
2013-01-01
Purpose: With the recently expanding interest and developments in x-ray differential phase contrast CT (DPC-CT), the evaluation of its task-specific detection performance and comparison with the corresponding absorption CT under a given radiation dose constraint become increasingly important. Mathematical model observers are often used to quantify the performance of imaging systems, but their correlations with actual human observers need to be confirmed for each new imaging method. This work is an investigation of the effects of stochastic DPC-CT noise on the correlation of detection performance between model and human observers with signal-known-exactly (SKE) detection tasks.Methods: The detectabilities of different objects (five disks with different diameters and two breast lesion masses) embedded in an experimental DPC-CT noise background were assessed using both model and human observers. The detectability of the disk and lesion signals was then measured using five types of model observers including the prewhitening ideal observer, the nonprewhitening (NPW) observer, the nonprewhitening observer with eye filter and internal noise (NPWEi), the prewhitening observer with eye filter and internal noise (PWEi), and the channelized Hotelling observer (CHO). The same objects were also evaluated by four human observers using the two-alternative forced choice method. The results from the model observer experiment were quantitatively compared to the human observer results to assess the correlation between the two techniques.Results: The contrast-to-detail (CD) curve generated by the human observers for the disk-detection experiments shows that the required contrast to detect a disk is inversely proportional to the square root of the disk size. Based on the CD curves, the ideal and NPW observers tend to systematically overestimate the performance of the human observers. The NPWEi and PWEi observers did not predict human performance well either, as the slopes of their CD
Eosinophil count is positively correlated with coronary artery calcification
International Nuclear Information System (INIS)
Tanaka, Muhei; Fukui, Michiaki; Yamasaki, Masahiro; Hasegawa, Goji; Oda, Yohei; Nakamura, Naoto; Tomiyasu, Ki-ichiro; Akabame, Satoshi; Nakano, Koji
2012-01-01
Recent studies suggested that allergic disorders and increased eosinophil count were associated with atherosclerosis. The purpose of this study was to assess the relationship between eosinophil count and coronary artery calcification (CAC). We performed a cross-sectional study in 1363 consecutive participants with clinical suspicion of coronary heart disease (CHD). We evaluated the relationships between CAC score determined by multislice CT and peripheral eosinophil count as well as major cardiovascular risk factors, including age, body mass index, smoking status, hypertension, dyslipidemia, diabetes mellitus (DM), high-sensitivity C-reactive protein and estimated glomerular filtration rate (eGFR). Sex (P=0.0004), hypertension (P=0.0002), dyslipidemia (P=0.0004) and DM (P=0.0061) were associated with log (CAC+1), respectively. Positive correlations were found between log (CAC+1), and age (r=0.325, P<0.0001) and eosinophil count (r=0.165, P<0.0001). Negative correlations were found between log (CAC+1) and eGFR (r=-0.166, P<0.0001). Multivariate linear regression analysis demonstrated that age (β=0.314, P<0.0001), sex (β=0.124, P<0.0001), hypertension (β=0.084, P=0.0008), DM (β=0.108, P<0.0001), eGFR (β=-0.079, P=0.0021) and eosinophil count (β=0.147, P<0.0001) were independent determinants of log (CAC+1). In conclusion, eosinophil count correlated positively with CAC in participants with clinical suspicion of CHD. (author)
Observation of Correlated Azimuthal Anisotropy Fourier Harmonics in p p and p +Pb Collisions at the LHC
Science.gov (United States)
Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; Asilar, E.; Bergauer, T.; Brandstetter, J.; Brondolin, E.; Dragicevic, M.; Erö, J.; Flechl, M.; Friedl, M.; Frühwirth, R.; Ghete, V. M.; Grossmann, J.; Hrubec, J.; Jeitler, M.; König, A.; Krammer, N.; Krätschmer, I.; Liko, D.; Madlener, T.; Mikulec, I.; Pree, E.; Rabady, D.; Rad, N.; Rohringer, H.; Schieck, J.; Schöfbeck, R.; Spanring, M.; Spitzbart, D.; Waltenberger, W.; Wittmann, J.; Wulz, C.-E.; Zarucki, M.; Chekhovsky, V.; Mossolov, V.; Suarez Gonzalez, J.; De Wolf, E. A.; Di Croce, D.; Janssen, X.; Lauwers, J.; Van Haevermaet, H.; Van Mechelen, P.; Van Remortel, N.; Abu Zeid, S.; Blekman, F.; D'Hondt, J.; De Bruyn, I.; De Clercq, J.; Deroover, K.; Flouris, G.; Lontkovskyi, D.; Lowette, S.; Moortgat, S.; Moreels, L.; Python, Q.; Skovpen, K.; Tavernier, S.; Van Doninck, W.; Van Mulders, P.; Van Parijs, I.; Brun, H.; Clerbaux, B.; De Lentdecker, G.; Delannoy, H.; Fasanella, G.; Favart, L.; Goldouzian, R.; Grebenyuk, A.; Karapostoli, G.; Lenzi, T.; Luetic, J.; Maerschalk, T.; Marinov, A.; Randle-conde, A.; Seva, T.; Vander Velde, C.; Vanlaer, P.; Vannerom, D.; Yonamine, R.; Zenoni, F.; Zhang, F.; Cimmino, A.; Cornelis, T.; Dobur, D.; Fagot, A.; Gul, M.; Khvastunov, I.; Poyraz, D.; Roskas, C.; Salva, S.; Tytgat, M.; Verbeke, W.; Zaganidis, N.; Bakhshiansohi, H.; Bondu, O.; Brochet, S.; Bruno, G.; Caputo, C.; Caudron, A.; De Visscher, S.; Delaere, C.; Delcourt, M.; Francois, B.; Giammanco, A.; Jafari, A.; Komm, M.; Krintiras, G.; Lemaitre, V.; Magitteri, A.; Mertens, A.; Musich, M.; Piotrzkowski, K.; Quertenmont, L.; Vidal Marono, M.; Wertz, S.; Beliy, N.; Aldá Júnior, W. L.; Alves, F. L.; Alves, G. A.; Brito, L.; Correa Martins Junior, M.; Hensel, C.; Moraes, A.; Pol, M. E.; Rebello Teles, P.; Belchior Batista Das Chagas, E.; Carvalho, W.; Chinellato, J.; Custódio, A.; Da Costa, E. M.; Da Silveira, G. G.; De Jesus Damiao, D.; Fonseca De Souza, S.; Huertas Guativa, L. M.; Malbouisson, H.; Melo De Almeida, M.; Mora Herrera, C.; Mundim, L.; Nogima, H.; Santoro, A.; Sznajder, A.; Tonelli Manganote, E. J.; Torres Da Silva De Araujo, F.; Vilela Pereira, A.; Ahuja, S.; Bernardes, C. A.; Tomei, T. R. Fernandez Perez; Gregores, E. M.; Mercadante, P. G.; Novaes, S. F.; Padula, Sandra S.; Romero Abad, D.; Ruiz Vargas, J. C.; Aleksandrov, A.; Hadjiiska, R.; Iaydjiev, P.; Misheva, M.; Rodozov, M.; Shopova, M.; Stoykova, S.; Sultanov, G.; Dimitrov, A.; Glushkov, I.; Litov, L.; Pavlov, B.; Petkov, P.; Fang, W.; Gao, X.; Ahmad, M.; Bian, J. G.; Chen, G. M.; Chen, H. S.; Chen, M.; Chen, Y.; Jiang, C. H.; Leggat, D.; Liao, H.; Liu, Z.; Romeo, F.; Shaheen, S. M.; Spiezia, A.; Tao, J.; Wang, C.; Wang, Z.; Yazgan, E.; Zhang, H.; Zhang, S.; Zhao, J.; Ban, Y.; Chen, G.; Li, Q.; Liu, S.; Mao, Y.; Qian, S. J.; Wang, D.; Xu, Z.; Avila, C.; Cabrera, A.; Chaparro Sierra, L. F.; Florez, C.; González Hernández, C. F.; Ruiz Alvarez, J. D.; Courbon, B.; Godinovic, N.; Lelas, D.; Puljak, I.; Ribeiro Cipriano, P. M.; Sculac, T.; Antunovic, Z.; Kovac, M.; Brigljevic, V.; Ferencek, D.; Kadija, K.; Mesic, B.; Starodumov, A.; Susa, T.; Ather, M. W.; Attikis, A.; Mavromanolakis, G.; Mousa, J.; Nicolaou, C.; Ptochos, F.; Razis, P. A.; Rykaczewski, H.; Finger, M.; Finger, M.; Carrera Jarrin, E.; Assran, Y.; Mahmoud, M. A.; Mahrous, A.; Dewanjee, R. K.; Kadastik, M.; Perrini, L.; Raidal, M.; Tiko, A.; Veelken, C.; Eerola, P.; Pekkanen, J.; Voutilainen, M.; Härkönen, J.; Järvinen, T.; Karimäki, V.; Kinnunen, R.; Lampén, T.; Lassila-Perini, K.; Lehti, S.; Lindén, T.; Luukka, P.; Tuominen, E.; Tuominiemi, J.; Tuovinen, E.; Talvitie, J.; Tuuva, T.; Besancon, M.; Couderc, F.; Dejardin, M.; Denegri, D.; Faure, J. L.; Ferri, F.; Ganjour, S.; Ghosh, S.; Givernaud, A.; Gras, P.; Hamel de Monchenault, G.; Jarry, P.; Kucher, I.; Locci, E.; Machet, M.; Malcles, J.; Negro, G.; Rander, J.; Rosowsky, A.; Sahin, M. Ã.-.; Titov, M.; Abdulsalam, A.; Amendola, C.; Antropov, I.; Baffioni, S.; Beaudette, F.; Busson, P.; Cadamuro, L.; Charlot, C.; Granier de Cassagnac, R.; Jo, M.; Lisniak, S.; Lobanov, A.; Martin Blanco, J.; Nguyen, M.; Ochando, C.; Ortona, G.; Paganini, P.; Pigard, P.; Salerno, R.; Sauvan, J. B.; Sirois, Y.; Stahl Leiton, A. G.; Strebler, T.; Yilmaz, Y.; Zabi, A.; Zghiche, A.; Agram, J.-L.; Andrea, J.; Bloch, D.; Brom, J.-M.; Buttignol, M.; Chabert, E. C.; Chanon, N.; Collard, C.; Conte, E.; Coubez, X.; Fontaine, J.-C.; Gelé, D.; Goerlach, U.; Jansová, M.; Le Bihan, A.-C.; Tonon, N.; Van Hove, P.; Gadrat, S.; Beauceron, S.; Bernet, C.; Boudoul, G.; Chierici, R.; Contardo, D.; Depasse, P.; El Mamouni, H.; Fay, J.; Finco, L.; Gascon, S.; Gouzevitch, M.; Grenier, G.; Ille, B.; Lagarde, F.; Laktineh, I. B.; Lethuillier, M.; Mirabito, L.; Pequegnot, A. L.; Perries, S.; Popov, A.; Sordini, V.; Vander Donckt, M.; Viret, S.; Toriashvili, T.; Tsamalaidze, Z.; Autermann, C.; Feld, L.; Kiesel, M. K.; Klein, K.; Lipinski, M.; Preuten, M.; Schomakers, C.; Schulz, J.; Verlage, T.; Zhukov, V.; Albert, A.; Dietz-Laursonn, E.; Duchardt, D.; Endres, M.; Erdmann, M.; Erdweg, S.; Esch, T.; Fischer, R.; Güth, A.; Hamer, M.; Hebbeker, T.; Heidemann, C.; Hoepfner, K.; Knutzen, S.; Merschmeyer, M.; Meyer, A.; Millet, P.; Mukherjee, S.; Pook, T.; Radziej, M.; Reithler, H.; Rieger, M.; Scheuch, F.; Teyssier, D.; Thüer, S.; Flügge, G.; Kargoll, B.; Kress, T.; Künsken, A.; Lingemann, J.; Müller, T.; Nehrkorn, A.; Nowack, A.; Pistone, C.; Pooth, O.; Stahl, A.; Aldaya Martin, M.; Arndt, T.; Asawatangtrakuldee, C.; Beernaert, K.; Behnke, O.; Behrens, U.; Bermúdez MartÃnez, A.; Bin Anuar, A. A.; Borras, K.; Botta, V.; Campbell, A.; Connor, P.; Contreras-Campana, C.; Costanza, F.; Diez Pardos, C.; Eckerlin, G.; Eckstein, D.; Eichhorn, T.; Eren, E.; Gallo, E.; Garay Garcia, J.; Geiser, A.; Gizhko, A.; Grados Luyando, J. M.; Grohsjean, A.; Gunnellini, P.; Guthoff, M.; Harb, A.; Hauk, J.; Hempel, M.; Jung, H.; Kalogeropoulos, A.; Kasemann, M.; Keaveney, J.; Kleinwort, C.; Korol, I.; Krücker, D.; Lange, W.; Lelek, A.; Lenz, T.; Leonard, J.; Lipka, K.; Lohmann, W.; Mankel, R.; Melzer-Pellmann, I.-A.; Meyer, A. B.; Mittag, G.; Mnich, J.; Mussgiller, A.; Ntomari, E.; Pitzl, D.; Raspereza, A.; Roland, B.; Savitskyi, M.; Saxena, P.; Shevchenko, R.; Spannagel, S.; Stefaniuk, N.; Van Onsem, G. P.; Walsh, R.; Wen, Y.; Wichmann, K.; Wissing, C.; Zenaiev, O.; Bein, S.; Blobel, V.; Centis Vignali, M.; Dreyer, T.; Garutti, E.; Gonzalez, D.; Haller, J.; Hinzmann, A.; Hoffmann, M.; Karavdina, A.; Klanner, R.; Kogler, R.; Kovalchuk, N.; Kurz, S.; Lapsien, T.; Marchesini, I.; Marconi, D.; Meyer, M.; Niedziela, M.; Nowatschin, D.; Pantaleo, F.; Peiffer, T.; Perieanu, A.; Scharf, C.; Schleper, P.; Schmidt, A.; Schumann, S.; Schwandt, J.; Sonneveld, J.; Stadie, H.; Steinbrück, G.; Stober, F. M.; Stöver, M.; Tholen, H.; Troendle, D.; Usai, E.; Vanelderen, L.; Vanhoefer, A.; Vormwald, B.; Akbiyik, M.; Barth, C.; Baur, S.; Butz, E.; Caspart, R.; Chwalek, T.; Colombo, F.; De Boer, W.; Dierlamm, A.; Freund, B.; Friese, R.; Giffels, M.; Haitz, D.; Hartmann, F.; Heindl, S. M.; Husemann, U.; Kassel, F.; Kudella, S.; Mildner, H.; Mozer, M. U.; Müller, Th.; Plagge, M.; Quast, G.; Rabbertz, K.; Schröder, M.; Shvetsov, I.; Sieber, G.; Simonis, H. J.; Ulrich, R.; Wayand, S.; Weber, M.; Weiler, T.; Williamson, S.; Wöhrmann, C.; Wolf, R.; Anagnostou, G.; Daskalakis, G.; Geralis, T.; Giakoumopoulou, V. A.; Kyriakis, A.; Loukas, D.; Topsis-Giotis, I.; Karathanasis, G.; Kesisoglou, S.; Panagiotou, A.; Saoulidou, N.; Kousouris, K.; Evangelou, I.; Foudas, C.; Kokkas, P.; Mallios, S.; Manthos, N.; Papadopoulos, I.; Paradas, E.; Strologas, J.; Triantis, F. A.; Csanad, M.; Filipovic, N.; Pasztor, G.; Veres, G. I.; Bencze, G.; Hajdu, C.; Horvath, D.; Hunyadi, Ã.; Sikler, F.; Veszpremi, V.; Zsigmond, A. J.; Beni, N.; Czellar, S.; Karancsi, J.; Makovec, A.; Molnar, J.; Szillasi, Z.; Bartók, M.; Raics, P.; Trocsanyi, Z. L.; Ujvari, B.; Choudhury, S.; Komaragiri, J. R.; Bahinipati, S.; Bhowmik, S.; Mal, P.; Mandal, K.; Nayak, A.; Sahoo, D. K.; Sahoo, N.; Swain, S. K.; Bansal, S.; Beri, S. B.; Bhatnagar, V.; Chawla, R.; Dhingra, N.; Kalsi, A. K.; Kaur, A.; Kaur, M.; Kumar, R.; Kumari, P.; Mehta, A.; Singh, J. B.; Walia, G.; Kumar, Ashok; Shah, Aashaq; Bhardwaj, A.; Chauhan, S.; Choudhary, B. C.; Garg, R. B.; Keshri, S.; Kumar, A.; Malhotra, S.; Naimuddin, M.; Ranjan, K.; Sharma, R.; Bhardwaj, R.; Bhattacharya, R.; Bhattacharya, S.; Bhawandeep, U.; Dey, S.; Dutt, S.; Dutta, S.; Ghosh, S.; Majumdar, N.; Modak, A.; Mondal, K.; Mukhopadhyay, S.; Nandan, S.; Purohit, A.; Roy, A.; Roy, D.; Roy Chowdhury, S.; Sarkar, S.; Sharan, M.; Thakur, S.; Behera, P. K.; Chudasama, R.; Dutta, D.; Jha, V.; Kumar, V.; Mohanty, A. K.; Netrakanti, P. K.; Pant, L. M.; Shukla, P.; Topkar, A.; Aziz, T.; Dugad, S.; Mahakud, B.; Mitra, S.; Mohanty, G. B.; Sur, N.; Sutar, B.; Banerjee, S.; Bhattacharya, S.; Chatterjee, S.; Das, P.; Guchait, M.; Jain, Sa.; Kumar, S.; Maity, M.; Majumder, G.; Mazumdar, K.; Sarkar, T.; Wickramage, N.; Chauhan, S.; Dube, S.; Hegde, V.; Kapoor, A.; Kothekar, K.; Pandey, S.; Rane, A.; Sharma, S.; Chenarani, S.; Eskandari Tadavani, E.; Etesami, S. M.; Khakzad, M.; Mohammadi Najafabadi, M.; Naseri, M.; Paktinat Mehdiabadi, S.; Rezaei Hosseinabadi, F.; Safarzadeh, B.; Zeinali, M.; Felcini, M.; Grunewald, M.; Abbrescia, M.; Calabria, C.; Colaleo, A.; Creanza, D.; Cristella, L.; De Filippis, N.; De Palma, M.; Errico, F.; Fiore, L.; Iaselli, G.; Lezki, S.; Maggi, G.; Maggi, M.; Miniello, G.; My, S.; Nuzzo, S.; Pompili, A.; Pugliese, G.; Radogna, R.; Ranieri, A.; Selvaggi, G.; Sharma, A.; Silvestris, L.; Venditti, R.; Verwilligen, P.; Abbiendi, G.; Battilana, C.; Bonacorsi, D.; Braibant-Giacomelli, S.; Campanini, R.; Capiluppi, P.; Castro, A.; Cavallo, F. R.; Chhibra, S. S.; Codispoti, G.; Cuffiani, M.; Dallavalle, G. M.; Fabbri, F.; Fanfani, A.; Fasanella, D.; Giacomelli, P.; Grandi, C.; Guiducci, L.; Marcellini, S.; Masetti, G.; Montanari, A.; Navarria, F. L.; Perrotta, A.; Rossi, A. M.; Rovelli, T.; Siroli, G. P.; Tosi, N.; Albergo, S.; Costa, S.; Di Mattia, A.; Giordano, F.; Potenza, R.; Tricomi, A.; Tuve, C.; Barbagli, G.; Chatterjee, K.; Ciulli, V.; Civinini, C.; D'Alessandro, R.; Focardi, E.; Lenzi, P.; Meschini, M.; Paoletti, S.; Russo, L.; Sguazzoni, G.; Strom, D.; Viliani, L.; Benussi, L.; Bianco, S.; Fabbri, F.; Piccolo, D.; Primavera, F.; Calvelli, V.; Ferro, F.; Robutti, E.; Tosi, S.; Benaglia, A.; Brianza, L.; Brivio, F.; Ciriolo, V.; Dinardo, M. E.; Fiorendi, S.; Gennai, S.; Ghezzi, A.; Govoni, P.; Malberti, M.; Malvezzi, S.; Manzoni, R. A.; Menasce, D.; Moroni, L.; Paganoni, M.; Pauwels, K.; Pedrini, D.; Pigazzini, S.; Ragazzi, S.; Redaelli, N.; Tabarelli de Fatis, T.; Buontempo, S.; Cavallo, N.; Di Guida, S.; Fabozzi, F.; Fienga, F.; Iorio, A. O. M.; Khan, W. A.; Lista, L.; Meola, S.; Paolucci, P.; Sciacca, C.; Thyssen, F.; Azzi, P.; Bacchetta, N.; Benato, L.; Bisello, D.; Boletti, A.; Carlin, R.; Carvalho Antunes De Oliveira, A.; Checchia, P.; De Castro Manzano, P.; Dorigo, T.; Dosselli, U.; Gasparini, F.; Gasparini, U.; Gozzelino, A.; Lacaprara, S.; Margoni, M.; Meneguzzo, A. T.; Pozzobon, N.; Ronchese, P.; Rossin, R.; Simonetto, F.; Torassa, E.; Zanetti, M.; Zotto, P.; Zumerle, G.; Braghieri, A.; Magnani, A.; Montagna, P.; Ratti, S. P.; Re, V.; Ressegotti, M.; Riccardi, C.; Salvini, P.; Vai, I.; Vitulo, P.; Alunni Solestizi, L.; Biasini, M.; Bilei, G. M.; Cecchi, C.; Ciangottini, D.; Fanò, L.; Lariccia, P.;
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UW Commencement Program Spring 2023
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University of Wyoming Commencement Program Spring 2023
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https://issuu.com/uwyo/docs/uw_commencement_spring2023
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Welcome to Issuu’s blog: home to product news, tips, resources, interviews (and more) related to content marketing and publishing.
Here you'll find an answer to your question.
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observed positively correlated: Topics by WorldWideScience.org
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Observations of geographically correlated orbit errors for TOPEX/Poseidon using the global positioning system
Science.gov (United States)
Christensen, E. J.; Haines, B. J.; Mccoll, K. C.; Nerem, R. S.
1994-01-01
We have compared Global Positioning System (GPS)-based dynamic and reduced-dynamic TOPEX/Poseidon orbits over three 10-day repeat cycles of the ground-track. The results suggest that the prelaunch joint gravity model (JGM-1) introduces geographically correlated errors (GCEs) which have a strong meridional dependence. The global distribution and magnitude of these GCEs are consistent with a prelaunch covariance analysis, with estimated and predicted global rms error statistics of 2.3 and 2.4 cm rms, respectively. Repeating the analysis with the post-launch joint gravity model (JGM-2) suggests that a portion of the meridional dependence observed in JGM-1 still remains, with global rms error of 1.2 cm.
EEG Correlates of Ten Positive Emotions.
Science.gov (United States)
Hu, Xin; Yu, Jianwen; Song, Mengdi; Yu, Chun; Wang, Fei; Sun, Pei; Wang, Daifa; Zhang, Dan
2017-01-01
Compared with the well documented neurophysiological findings on negative emotions, much less is known about positive emotions. In the present study, we explored the EEG correlates of ten different positive emotions (joy, gratitude, serenity, interest, hope, pride, amusement, inspiration, awe, and love). A group of 20 participants were invited to watch 30 short film clips with their EEGs simultaneously recorded. Distinct topographical patterns for different positive emotions were found for the correlation coefficients between the subjective ratings on the ten positive emotions per film clip and the corresponding EEG spectral powers in different frequency bands. Based on the similarities of the participants' ratings on the ten positive emotions, these emotions were further clustered into three representative clusters, as 'encouragement' for awe, gratitude, hope, inspiration, pride, 'playfulness' for amusement, joy, interest, and 'harmony' for love, serenity. Using the EEG spectral powers as features, both the binary classification on the higher and lower ratings on these positive emotions and the binary classification between the three positive emotion clusters, achieved accuracies of approximately 80% and above. To our knowledge, our study provides the first piece of evidence on the EEG correlates of different positive emotions.
Correlation between working positions and lactic acid levels with musculoskeletal complaints among dentists
Directory of Open Access Journals (Sweden)
Fiory Dioptis Putriwijaya
2016-12-01
Full Text Available Background: Musculoskeletal complaints have been common for dentists since their body is unknowingly often in inappropriate positions when caring for patients. For example, they bend towards patients, suddenly move, and then rotate from one side to another. The repetitive movements are done in long term. High activities and sufficient recovery time can cause a buildup of lactic acid in their blood leading to obstruction of the energy intake from the aerobic system in their muscle cells, resulting in fatigue. As a result, such conditions trigger decreased muscle performances. Purpose: This study aimed to determine the correlation between working positions and lactic acid levels with the risk of musculoskeletal disorders among dentists at Public Health Centers in Surabaya. Method: This research was an analytical observational research using cross sectional approach. Sampling technique used in this research was cluster random sampling with nineteen samples. To evaluate the working positions of those samples, a rapid entire body assessment (REBA method was used. Meanwhile, to observe the musculoskeletal disorders of those samples, a Nordic body map was used. Data obtained then were analyzed using Pearson correlation test with a significance level (p<0.05. Result: Results of data analysis using the Pearson correlation test showed that the significance value obtained was 0.036. It indicates that there was a correlation between the working positions and the lactic acid levels with the musculoskeletal disorders in those dentists. The results of the Pearson correlation test also revealed that there was a correlation between the working positions and the lactic acid levels among those dentists with a significance value of 0.025. Conclusion: It may be concluded that the wrong body positions during working can increase lactic acid level in the body of dentists. The increased level of lactic acid then can affect their muscles, leading to the high risk of
Positive effects of neurofeedback on autism symptoms correlate with brain activation during imitation and observation.
Science.gov (United States)
Datko, Michael; Pineda, Jaime A; Müller, Ralph-Axel
2018-03-01
Autism has been characterized by atypical task-related brain activation and functional connections, coinciding with deficits in sociocommunicative abilities. However, evidence of the brain's experience-dependent plasticity suggests that abnormal activity patterns may be reversed with treatment. In particular, neurofeedback training (NFT), an intervention based on operant conditioning resulting in self-regulation of brain electrical oscillations, has shown increasing promise in addressing abnormalities in brain function and behavior. We examined the effects of â¥Â 20 h of sensorimotor mu-rhythm-based NFT in children with high-functioning autism spectrum disorders (ASD) and a matched control group of typically developing children (ages 8-17). During a functional magnetic resonance imaging imitation and observation task, the ASD group showed increased activation in regions of the human mirror neuron system following the NFT, as part of a significant interaction between group (ASD vs. controls) and training (pre- vs. post-training). These changes were positively correlated with behavioral improvements in the ASD participants, indicating that mu-rhythm NFT may be beneficial to individuals with ASD. © 2017 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.
Observation of spatial quantum correlations induced by multiple scattering of nonclassical light
DEFF Research Database (Denmark)
Smolka, Stephan; Huck, Alexander; Andersen, Ulrik Lund
2009-01-01
and negative spatial quantum correlations are observed when varying the quantum state incident to the multiple scattering medium, and the strength of the correlations is controlled by the number of photons. The experimental results are in excellent agreement with recent theoretical proposals by implementing......We present the experimental realization of spatial quantum correlations of photons that are induced by multiple scattering of squeezed light. The quantum correlation relates photons propagating along two different light paths through the random medium and is infinite in range. Both positive...... the full quantum model of multiple scattering....
Intelligence and Semen Quality Are Positively Correlated
Science.gov (United States)
Arden, Rosalind; Gottfredson, Linda S.; Miller, Geoffrey; Pierce, Arand
2009-01-01
Human cognitive abilities inter-correlate to form a positive matrix, from which a large first factor, called "Spearman's g" or general intelligence, can be extracted. General intelligence itself is correlated with many important health outcomes including cardio-vascular function and longevity. However, the important evolutionary question ofâ¦
Antineutrophil cytoplasm antibody: positivity and clinical correlation.
Science.gov (United States)
MartÃnez Téllez, Goitybell; Torres Rives, Bárbara; Rangel Velázquez, Suchiquil; Sánchez RodrÃguez, Vicky; Ramos RÃos, MarÃa Antonia; Fuentes Smith, Lisset Evelyn
2015-01-01
To determine positivity and clinical correlation of anti-neutrophil cytoplasmic antibodies (ANCA), taking into account the interference of antinuclear antibodies (ANA). A prospective study was conducted in the Laboratory of Immunology of the National Cuban Center of Medical Genetic during one year. Two hounded sixty-seven patients with indication for ANCA determination were included. ANCA and ANA determinations with different cut off points and assays were determined by indirect immunofluorescense. Anti proteinase 3 and antimyeloperoxidase antibodies were determined by ELISA. Most positivity for ANCA was seen in patients with ANCA associated, primary small-vessel vasculitides, rheumatoid arthritis and systemic lupus erythematosus. Presence of ANCA without positivity for proteinase 3 and myeloperoxidase was higher in patients with ANA and little relation was observed between the perinuclear pattern confirmed in formalin and specificity by myeloperoxidase. Highest sensibility and specificity values for vasculitides diagnostic were achieved by ANCA determination using indirect immunofluorescense with a cut off 1/80 and confirming antigenic specificities with ELISA. ANCA can be present in a great number of chronic inflammatory or autoimmune disorders in the population studied. This determination using indirect immunofluorescence and following by ELISA had a great value for vasculitis diagnosis. Anti mieloperoxidasa assay has a higher utility than the formalin assay when ANA is present. Copyright © 2013 Elsevier España, S.L.U. All rights reserved.
Identification of AR(I)MA processes for modelling temporal correlations of GPS observations
Science.gov (United States)
Luo, X.; Mayer, M.; Heck, B.
2009-04-01
In many geodetic applications observations of the Global Positioning System (GPS) are routinely processed by means of the least-squares method. However, this algorithm delivers reliable estimates of unknown parameters und realistic accuracy measures only if both the functional and stochastic models are appropriately defined within GPS data processing. One deficiency of the stochastic model used in many GPS software products consists in neglecting temporal correlations of GPS observations. In practice the knowledge of the temporal stochastic behaviour of GPS observations can be improved by analysing time series of residuals resulting from the least-squares evaluation. This paper presents an approach based on the theory of autoregressive (integrated) moving average (AR(I)MA) processes to model temporal correlations of GPS observations using time series of observation residuals. A practicable integration of AR(I)MA models in GPS data processing requires the determination of the order parameters of AR(I)MA processes at first. In case of GPS, the identification of AR(I)MA processes could be affected by various factors impacting GPS positioning results, e.g. baseline length, multipath effects, observation weighting, or weather variations. The influences of these factors on AR(I)MA identification are empirically analysed based on a large amount of representative residual time series resulting from differential GPS post-processing using 1-Hz observation data collected within the permanent SAPOS® (Satellite Positioning Service of the German State Survey) network. Both short and long time series are modelled by means of AR(I)MA processes. The final order parameters are determined based on the whole residual database; the corresponding empirical distribution functions illustrate that multipath and weather variations seem to affect the identification of AR(I)MA processes much more significantly than baseline length and observation weighting. Additionally, the modelling
Lack of Correlation Between External Fiducial Positions and Internal Tumor Positions During Breath-Hold CT
International Nuclear Information System (INIS)
Hunjan, Sandeep; Starkschall, George; Prado, Karl; Dong Lei; Balter, Peter
2010-01-01
Purpose: For thoracic tumors, if four-dimensional computed tomography (4DCT) is unavailable, the internal margin can be estimated by use of breath-hold (BH) CT scans acquired at end inspiration (EI) and end expiration (EE). By use of external surrogates for tumor position, BH accuracy is estimated by minimizing the difference between respiratory extrema BH and mean equivalent-phase free breathing (FB) positions. We tested the assumption that an external surrogate for BH accuracy correlates with internal tumor positional accuracy during BH CT. Methods and Materials: In 16 lung cancer patients, 4DCT images, as well as BH CT images at EI and EE, were acquired. Absolute differences between BH and mean equivalent-phase (FB) positions were calculated for both external fiducials and gross tumor volume (GTV) centroids as metrics of external and internal BH accuracy, respectively, and the results were correlated. Results: At EI, the absolute difference between mean FB and BH fiducial displacement correlated poorly with the absolute difference between FB and BH GTV centroid positions on CT images (R 2 = 0.11). Similarly, at EE, the absolute difference between mean FB and BH fiducial displacements correlated poorly with the absolute difference between FB and BH GTV centroid positions on CT images (R 2 = 0.18). Conclusions: External surrogates for tumor position are not an accurate metric of BH accuracy for lung cancer patients. This implies that care should be taken when using such an approach because an incorrect internal margin could be generated.
Reduction of EAO Positional Observations Database
Science.gov (United States)
Nefedyev, Yuri; Andreev, Alexey; Demina, Natalya; Churkin, Konstantin
2016-07-01
There is a large data bank of positional observations of Solar System bodies at Engelhadt Astronomical Observatory (EAO). The positional observations include the major planets, except Jupiter. Modern technologies replace classical methods of observations in astronomy and in astrometry as well. At the same time many positional observations have been gathered at astronomical observatories. So taking into account that observations of the past epochs have presenteda great value for astronomy and as times goes by their importance is growing it is obvious that positional astrometry will not lose its practical importance. This was noted in B3 XXIV IAU resolution by the General Assembly. The results of reduction of solar system bodies observations were published mainly in Proceeding of EAO and Transactions of Kazan City Astronomical Observatory. Earlier there have been made about three thousand observations at EAO and Zelenchuk station with the Zeiss telescope (D=400mm, f=2000mm), AFR-18 (photo visual, D=200, f=2000), refractor (D=400mm, f=3450mm), Meniscus camera (D=340mm, f=1200mm), Schmidt camera (D=350mm, f=2000mm). The major planets except Pluto and Neptune were observed with a special cassette chamber equipped with a rotating disk which had an open sector to reduce the brightness of the planets. The dimension of the sector was chosen accordingto the brightness of the planets. The disk was placed in the centre of the astrograph's field. The stars' true brightness was preserved. A large number of catalogues were compiled by the end of the 20th century. We used Tycho-2 catalogue for reducing our observations. As it is known the catalogue Tycho-2 (Tycho-2 catalogue, 2000) includes 2539913 stars. The stars' proper motions given in the catalogue were obtained by comparing positions from Tycho-2 with positions from the Astrographic Catalogue. Therefore they are considered to be highly accurate. The accuracy of stellar positions in Tycho-2 is about 60 mas and the accuracy of
Prevalence and correlates of positive mental health in Chinese adolescents.
Science.gov (United States)
Guo, Cheng; Tomson, Göran; Keller, Christina; Söderqvist, Fredrik
2018-02-17
Studies investigating the prevalence of positive mental health and its correlates are still scarce compared to the studies on mental disorders, although there is growing interest of assessing positive mental health in adolescents. So far, no other study examining the prevalence and determinants of positive mental health in Chinese adolescents has been found. The purpose of this study was to assess the prevalence and correlates of positive mental health in Chinese adolescents. This cross-sectional study used a questionnaire including Mental Health Continuum-Short Form (MHC-SF) and items regarding multiple aspects of adolescent life. The sample involved a total of 5399 students from grade 8 and 10 in Weifang, China. Multivariate Logistic regression analyses were performed to evaluate the associations between potential indicators regarding socio-economic situations, life style, social support and school life and positive mental health and calculate odds ratios and 95% confidence intervals. More than half (57.4%) of the participants were diagnosed as flourishing. The correlated factors of positive mental health in regression models included gender, perceived family economy, the occurrence of sibling(s), satisfaction of self-appearance, physical activity, sleep quality, stress, social trust, desire to learn, support from teachers and parents as well as whether being bullied at school (OR ranging from 1.23 to 2.75). The Hosmer-Lemeshow p-value for the final regression model (0.45) indicated adequate model fit. This study gives the first overview on prevalence and correlates of positive mental health in Chinese adolescents. The prevalence of positive mental health in Chinese adolescents is higher than reported in most of the previous studies also using MHC-SF. Our findings suggest that adolescents with advantageous socio-economic situations, life style, social support and school life are experiencing better positive mental health than others.
Analytic tools for investigating the structure of network reliability measures with regard to observation correlations
Science.gov (United States)
PrószyÅski, W.; KwaÅniak, M.
2018-03-01
A global measure of observation correlations in a network is proposed, together with the auxiliary indices related to non-diagonal elements of the correlation matrix. Based on the above global measure, a specific representation of the correlation matrix is presented, being the result of rigorously proven theorem formulated within the present research. According to the theorem, each positive definite correlation matrix can be expressed by a scale factor and a so-called internal weight matrix. Such a representation made it possible to investigate the structure of the basic reliability measures with regard to observation correlations. Numerical examples carried out for two test networks illustrate the structure of those measures that proved to be dependent on global correlation index. Also, the levels of global correlation are proposed. It is shown that one can readily find an approximate value of the global correlation index, and hence the correlation level, for the expected values of auxiliary indices being the only knowledge about a correlation matrix of interest. The paper is an extended continuation of the previous study of authors that was confined to the elementary case termed uniform correlation. The extension covers arbitrary correlation matrices and a structure of correlation effect.
The CNâCH Positive Correlation in the Globular Cluster NGC 5286
Energy Technology Data Exchange (ETDEWEB)
Lim, Dongwook; Hong, Seungsoo; Lee, Young-Wook, E-mail: dwlim@yonsei.ac.kr, E-mail: ywlee2@yonsei.ac.kr [Center for Galaxy Evolution Research and Department of Astronomy, Yonsei University, Seoul 03722 (Korea, Republic of)
2017-07-20
We performed low-resolution spectroscopy of the red giant stars in the Galactic globular cluster (GC) NGC 5286, which is known to show intrinsic heavy element abundance variations. We found that the observed stars in this GC are clearly divided into three subpopulations by CN index (CN-weak, CN-intermediate, and CN-strong). The CN-strong stars are also enhanced in the calcium HKâ² (7.4 Ï ) and CH (5.1 Ï ) indices, while the CN-intermediate stars show no significant difference in the strength of the HKâ² index from the CN-weak stars. From the comparison with high-resolution spectroscopic data, we found that the CN- and HKâ²-strong stars are also enhanced in the abundances of Fe and s -process elements. It appears, therefore, that these stars are later-generation stars affected by some supernova enrichment in addition to the asymptotic giant branch ejecta. In addition, unlike normal GCs, sample stars in NGC 5286 show the CNâCH positive correlation, strengthening our previous suggestion that this positive correlation is only discovered in GCs with heavy element abundance variations, such as M22 and NGC 6273.
Positive Noise Cross Correlation in a Copper Pair Splitter.
Science.gov (United States)
Das, Anindya; Ronen, Yuval; Heiblum, Moty; Shtrikman, Hadas; Mahalu, Diana
2012-02-01
Entanglement is in heart of the Einstein-Podolsky-Rosen (EPR) paradox, in which non-locality is a fundamental property. Up to date spin entanglement of electrons had not been demonstrated. Here, we provide direct evidence of such entanglement by measuring: non-local positive current correlation and positive cross correlation among current fluctuations, both of separated electrons born by a Cooper-pair-beam-splitter. The realization of the splitter is provided by injecting current from an Al superconductor contact into two, single channel, pure InAs nanowires - each intercepted by a Coulomb blockaded quantum dot (QD). The QDs impedes strongly the flow of Cooper pairs allowing easy single electron transport. The passage of electron in one wire enables the simultaneous passage of the other in the neighboring wire. The splitting efficiency of the Cooper pairs (relative to Cooper pairs actual current) was found to be Ë 40%. The positive cross-correlations in the currents and their fluctuations (shot noise) are fully consistent with entangled electrons produced by the beam splitter.
Observation of correlated atom pairs in spontaneous four wave mixing of two colliding Bose-Einstein condensates; Observation de paires d'atomes correles au travers de la collision de deux condensats de Bose-Einstein
Energy Technology Data Exchange (ETDEWEB)
Perrin, A
2007-11-15
In this thesis, we report on the observation of pairs of correlated atoms produced in the collision of two Bose-Einstein condensates of metastable helium. Three laser beams perform a Raman transfer which extracts the condensate from the magnetic trap and separates it into two parts with opposite mean momenta. While the condensates propagate, elastic scattering of pairs of atoms occurs, whose momenta satisfy energy and momentum conservation laws. Metastable helium atoms large internal energy allows the use of a position-sensitive, single-atom detector which permits a three-dimensional reconstruction of the scattered atoms'momenta. The statistics of these momenta show correlations for atoms with opposite momenta. The measured correlation volume can be understood from the uncertainty-limited momentum spread of the colliding condensates. This interpretation is confirmed by the observation of the momentum correlation function for two atoms scattered in the same direction. This latter effect is a manifestation of the Hanbury Brown-Twiss effect for indistinguishable bosons. Such a correlated-atom-pair source is a first step towards experiments in which one would like to confirm the pairs'entanglement. (author)
Pelvic floor muscle strength evaluation in different body positions in nulliparous healthy women and its correlation with sexual activity
Directory of Open Access Journals (Sweden)
Monica Orsi Gameiro
2013-12-01
Full Text Available Objective The aim of this study was to assess pelvic floor muscle (PFM strength in different body positions in nulliparous healthy women and its correlation with sexual activity. Materials and Methods Fifty healthy nulliparous women with mean age of 23 years were prospectively studied. Subjective evaluation of PFM was assessed by transvaginal digital palpation (TDP of anterior and posterior areas regarding the vaginal introitus. A perineometer with inflatable vaginal probe was used to assess the PFM strength in four different positions: supine with extended lower limbs (P1; bent-knee supine (P2; sitting (P3; standing (P4. Results Physical activity, 3 times per week, was reported by 58% of volunteers. Sexual activity was observed in 80% of women and 82% of them presented orgasm. The average body mass index (BMI was 21.76 kg/m2, considered as normal according World Health Organization (WHO. We observed that 68% of volunteers were conscious about the PFM contraction. TDP showed concordance of 76% when anterior and posterior areas were compared (p = 0.00014. There was not correlation between PFM strength and orgasm in subjective evaluation. The PFM strength was significantly higher in standing position when compared with the other positions (p < 0.000. No statistical difference was observed between orgasm and PFM strength when objective evaluations were performed. Conclusions There was concordance between anterior and posterior areas in 76% of cases when subjective PFM strength was assessed. In objective evaluation, higher PFM strength was observed when volunteers were standing. No statistical correlation was observed between PFM strength and orgasm in nulliparous healthy women.
Positive-operator-valued measure optimization of classical correlations
NARCIS (Netherlands)
Hamieh, S; Kobes, R; Zaraket, H
We study the problem of optimization over positive-operator-valued measures to extract classical correlation in a bipartite quantum system. The proposed method is applied to binary states only. Moreover, to illustrate this method, an explicit example is studied in detail.
On the relationship between positive and negative affect: Their correlation and their co-occurrence.
Science.gov (United States)
Larsen, Jeff T; Hershfield, Hal E; Stastny, Bradley J; Hester, Neil
2017-03-01
Understanding the nature of emotional experience requires understanding the relationship between positive and negative affect. Two particularly important aspects of that relationship are the extent to which positive and negative affect are correlated with one another and the extent to which they co-occur. Some researchers have assumed that weak negative correlations imply greater co-occurrence (i.e., more mixed emotions) than do strong negative correlations, but others have noted that correlations may imply very little about co-occurrence. We investigated the relationship between the correlation between positive and negative affect and co-occurrence. Participants in each of 2 samples provided moment-to-moment happiness and sadness ratings as they watched an evocative film and listened to music. Results indicated (a) that 4 measures of the correlation between positive and negative affect were quite highly related to 1 another; (b) that the strength of the correlation between measures of mixed emotions varied considerably; (c) that correlational measures were generally (but not always) weakly correlated with mixed emotion measures; and (d) that bittersweet stimuli consistently led to elevations in mixed emotion measures but did not consistently weaken the correlation between positive and negative affect. Results highlight that the correlation between positive and negative affect and their co-occurrence are distinct aspects of the relationship between positive and negative affect. Such insight helps clarify the implications of existing work on age-related and cultural differences in emotional experience and sets the stage for greater understanding of the experience of mixed emotions. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Lateral sesamoid position in hallux valgus: correlation with the conventional radiological assessment.
Science.gov (United States)
Agrawal, Yuvraj; Desai, Aravind; Mehta, Jaysheel
2011-12-01
We aimed to quantify the severity of the hallux valgus based on the lateral sesamoid position and to establish a correlation of our simple assessment method with the conventional radiological assessments. We reviewed one hundred and twenty two dorso-plantar weight bearing radiographs of feet. The intermetatarsal and hallux valgus angles were measured by the conventional methods; and the position of lateral sesamoid in relation to first metatarsal neck was assessed by our new and simple method. Significant correlation was noted between intermetatarsal angle and lateral sesamoid position (Rho 0.74, p lateral sesamoid position and hallux valgus angle (Rho 0.56, p lateral sesamoid position is simple, less time consuming and has statistically significant correlation with that of the established conventional radiological measurements. Copyright © 2011 European Foot and Ankle Society. Published by Elsevier Ltd. All rights reserved.
Observation of correlated atom pairs in spontaneous four wave mixing of two colliding Bose-Einstein condensates; Observation de paires d'atomes correles au travers de la collision de deux condensats de Bose-Einstein
Energy Technology Data Exchange (ETDEWEB)
Perrin, A
2007-11-15
In this thesis, we report on the observation of pairs of correlated atoms produced in the collision of two Bose-Einstein condensates of metastable helium. Three laser beams perform a Raman transfer which extracts the condensate from the magnetic trap and separates it into two parts with opposite mean momenta. While the condensates propagate, elastic scattering of pairs of atoms occurs, whose momenta satisfy energy and momentum conservation laws. Metastable helium atoms large internal energy allows the use of a position-sensitive, single-atom detector which permits a three-dimensional reconstruction of the scattered atoms'momenta. The statistics of these momenta show correlations for atoms with opposite momenta. The measured correlation volume can be understood from the uncertainty-limited momentum spread of the colliding condensates. This interpretation is confirmed by the observation of the momentum correlation function for two atoms scattered in the same direction. This latter effect is a manifestation of the Hanbury Brown-Twiss effect for indistinguishable bosons. Such a correlated-atom-pair source is a first step towards experiments in which one would like to confirm the pairs'entanglement. (author)
Positive Aspects of Caregiving and Its Correlates among Caregivers of Bipolar Affective Disorder.
Science.gov (United States)
Grover, S; Kate, N; Chakrabarti, S; Avasthi, A
2017-12-01
To evaluate the positive aspects of caregiving and its correlates (socio-demographic and clinical variables, caregiver burden, coping, quality of life, psychological morbidity) in the primary caregivers of patients with bipolar affective disorder (BPAD). A total of 60 primary caregivers of patients with a diagnosis of BPAD were evaluated on the Scale for Positive Aspects of Caregiving Experience (SPACE) and the Hindi version of Involvement Evaluation Questionnaire, Family Burden Interview Schedule (FBIS), modified Hindi version of Coping Checklist, shorter Hindi version of the World Health Organization Quality of Life (WHOQOL-BREF), and Hindi translated version of 12-item General Health Questionnaire (GHQ-12). Caregivers of patients with BPAD had the highest mean score in the SPACE domain of Motivation for caregiving role (2.45), followed by Caregiver satisfaction (2.38) and Caregiving personal gains (2.20). The mean score was the lowest for the domain of Self-esteem and social aspect of caring (2.01). In terms of correlations, age of onset of BPAD had a negative correlation with various domains of SPACE. The mean number of total lifetime affective and depressive episodes correlated positively with Self-esteem and social aspect of caring. Caregiver satisfaction correlated negatively with FBIS domains of Disruption of routine family activities, Effect on mental health of others, and subjective burden. Coercion as a coping mechanism correlated positively with domains of Caregiving personal gains, Caregiver satisfaction, and the total score on SPACE. Three (Physical health, Psychological health, Environment) out of 5 domains of the WHOQOL-BREF correlated positively with the total SPACE score. No association was noted between GHQ-12 and SPACE scores. Positive caregiving experience in primary caregivers of patients with BPAD is associated with better quality of life of the caregivers.
Observation of correlated atom pairs in spontaneous four wave mixing of two colliding Bose-Einstein condensates
International Nuclear Information System (INIS)
Perrin, A.
2007-11-01
In this thesis, we report on the observation of pairs of correlated atoms produced in the collision of two Bose-Einstein condensates of metastable helium. Three laser beams perform a Raman transfer which extracts the condensate from the magnetic trap and separates it into two parts with opposite mean momenta. While the condensates propagate, elastic scattering of pairs of atoms occurs, whose momenta satisfy energy and momentum conservation laws. Metastable helium atoms large internal energy allows the use of a position-sensitive, single-atom detector which permits a three-dimensional reconstruction of the scattered atoms'momenta. The statistics of these momenta show correlations for atoms with opposite momenta. The measured correlation volume can be understood from the uncertainty-limited momentum spread of the colliding condensates. This interpretation is confirmed by the observation of the momentum correlation function for two atoms scattered in the same direction. This latter effect is a manifestation of the Hanbury Brown-Twiss effect for indistinguishable bosons. Such a correlated-atom-pair source is a first step towards experiments in which one would like to confirm the pairs'entanglement. (author)
Observing position and movements in hydrotherapy: a pilot study.
Science.gov (United States)
Stark, Mary Ann; Rudell, Barb; Haus, George
2008-01-01
To observe and describe the positions and movements women choose while immersed in water during the first stage of labor. Descriptive, observational pilot study. A rural community hospital that provided hydrotherapy in labor. Women (N = 7) who intended to use hydrotherapy in labor were recruited prenatally from a midwife-managed practice. For 15 minutes of each hour during the first stage of labor, position and movements of the participants were observed and recorded on a laptop computer. The observational tool was developed for this study from a review of the literature and interviews with nursing experts; 435 observations were recorded. Women were free to choose when and how long to use hydrotherapy and had no restriction on their positions and movements. Only 3 of the 7 participants labored in the tub. Women demonstrated a greater range of positions and movements in the tub than in bed, both throughout labor and during late first-stage labor (7-10 cm of dilatation). Women had more contractions and made more rhythmic movements while in the tub than in bed. Hydrotherapy may encourage upright positions and movements that facilitate labor progress and coping, helping women avoid unnecessary interventions.
Characterisation of false-positive observations in botanical surveys
Directory of Open Access Journals (Sweden)
Quentin J. Groom
2017-05-01
Full Text Available Errors in botanical surveying are a common problem. The presence of a species is easily overlooked, leading to false-absences; while misidentifications and other mistakes lead to false-positive observations. While it is common knowledge that these errors occur, there are few data that can be used to quantify and describe these errors. Here we characterise false-positive errors for a controlled set of surveys conducted as part of a field identification test of botanical skill. Surveys were conducted at sites with a verified list of vascular plant species. The candidates were asked to list all the species they could identify in a defined botanically rich area. They were told beforehand that their final score would be the sum of the correct species they listed, but false-positive errors counted against their overall grade. The number of errors varied considerably between people, some people create a high proportion of false-positive errors, but these are scattered across all skill levels. Therefore, a personâs ability to correctly identify a large number of species is not a safeguard against the generation of false-positive errors. There was no phylogenetic pattern to falsely observed species; however, rare species are more likely to be false-positive as are species from species rich genera. Raising the threshold for the acceptance of an observation reduced false-positive observations dramatically, but at the expense of more false negative errors. False-positive errors are higher in field surveying of plants than many people may appreciate. Greater stringency is required before accepting species as present at a site, particularly for rare species. Combining multiple surveys resolves the problem, but requires a considerable increase in effort to achieve the same sensitivity as a single survey. Therefore, other methods should be used to raise the threshold for the acceptance of a species. For example, digital data input systems that can verify
Observation of correlated azimuthal anisotropy Fourier harmonics in pp and pPb collisions at the LHC
Energy Technology Data Exchange (ETDEWEB)
Sirunyan, Albert M; et al.
2017-09-26
The azimuthal anisotropy Fourier coefficients ($v_n$) in 8.16 TeV pPb data are extracted via long-range two-particle correlations as a function of event multiplicity and compared to corresponding results in pp and PbPb collisions. Using a four-particle cumulant technique, $v_n$ correlations are measured for the first time in pp and pPb collisions. The $v_2$ and $v_4$ coefficients are found to be positively correlated in all collision systems. For high multiplicity pPb collisions an anticorrelation of $v_2$ and $v_3$ is observed, with a similar correlation strength as in PbPb data at the same multiplicity. The new correlation results strengthen the case for a common origin of the collectivity seen in pPb and PbPb collisions in the measured multiplicity range.
Study of correlations of positive and negative charged particles
International Nuclear Information System (INIS)
Takahashi, Y.; Chan, C.H.; Dong, B.L.; Duthie, J.G.; Gregory, J.C.; Hayashi, T.; Yokomi, H.; Christl, M.J.; Derrickson, J.H.; Eby, P.B.; Fountain, W.F.; Parnell, T.A.; Roberts, F.E.; Nagamiya, S.; Dake, S.; Tominaga, T.; Fuki, M.; Iyono, A.; Ogata, T.; Miyamura, O.
1991-01-01
Particle correlations of the central collision events of 32 S + Pb at 200 GeV/AMU have been studied by utilizing a Magnetic-Interferomagnetic-Emulsion-Chamber (MAGIC) detector. Particle angles, momentum, and charge-signs are measured for all produced charged tracks for each event. Two-particle correlation functions, C 2 = dN (vertical strokep 1 - p 2 vertical stroke = q)/dp 1 dp 2 , for (++), (--) and (+-) particles are examined. A source radius around 4 - 6 fm is observed for overall identical particle correlations, while unexpected short-range correlations of unlike-sign pairs are observed in the high rapidity region. An analysis of unlike-sign pairs in terms of resonance decays indicated that a large amount (40% relative to pions) of η or Ï mesons (decaying into 3 Ï), or of scalar iso-scalar Ï mesons (decaying into 2 Ï) would be required to explain some of the data. Multi-particle charge-sign clusters are recognized; however, their 'run-test' and 'conjugate-test' show small deviations from statistical fluctuations. (orig.)
The Correlation of Initial Sputum Smear Positivity on Treatment Failure of Category 1 Therapy for Pulmonary Tuberculosis
Directory of Open Access Journals (Sweden)
Puput Dyah Ayu
2016-11-01
Full Text Available Tuberculosis is an infectious disease and is an important public health problem. Based on data from East Java Province Health Department reported that number of tuberculosis patient in Surabaya is the highest in East Java on year 2014. Early identification and good treatment based on the result of sputum identification are the strategy use to control tuberculosis widespread. So that why, microscopic observation to identify acid fast bacilli (AFB is the fundamental stage to determine recovery treatment. Initial sputum smear positivity is necessary to determine infectious graded. The objectives of the study were to identify of initial sputum smear positivity on treatment failure of category 1 therapy for pulmonary tuberculosis in RS Paru Surabaya year 2011-2014. This study used case control method with quantitative approach. Forty two samples were taken from secondary data. Case group is 21 samples who have treatment failure and control group is 21 successful treatment. Samples were selected by simple random sampling. The chi square correlation showed that highly positive initial smear (p = 0,045; OR = 5,4 have correlated and risk factor to treatment failure on category 1 therapy for pulmonary tuberculosis. The conclusion is patientâs high positive sputum smear initially correlated to treatment failure on category 1 therapy for pulmonary tuberculosis in RS Paru Surabaya year 2011â2014. Keywords: initial sputum smear positivity, treatment failure,, category 1 therapy for pulmonary tuberculosis
Positive Correlation Between Academic Library Services and High-Impact Practices for
Directory of Open Access Journals (Sweden)
Saori Wendy Herman, MLIS, AHIP
2016-03-01
Full Text Available Objective â To investigate the perceived alignment between academic library services and high-impact practices (HIPs that affect student retention. Design â Survey questionnaire. Setting â Public comprehensive universities in the United States of America with a Carnegie classification of masterâs level as of January 2013. Subjects â 68 library deans or directors out of the 271 who were originally contacted. Methods â The author used Qualtrics software to create a survey based on the HIPs, tested the survey for reliability, and then distributed it to 271 universities. Library services were grouped into 1 of 3 library scales: library collection, library instruction, or library facilities. The survey consisted of a matrix of 10 Likert-style questions addressing the perceived level of alignment between the library scales and the HIPs. Each question provided an opportunity for the respondent to enter a âbrief description of support practicesâ (p 477. Additional demographic questions addressed the years of experience of the respondent, undergraduate student enrollment of the university, and whether librarians held faculty rank. Main Results â The author measured Pearson correlation coefficients and found a positive correlation between the library scales and the HIPs. All three library scales displayed a moderately strong positive correlation between first-year seminars and experiences (HIP 1, common intellectual experiences (HIP 2, writing-intensive courses (HIP 4, undergraduate research (HIP 6, diversity and global learning (HIP 7, service learning and community-based learning (HIP 8, internships (HIP 9, and capstone courses and projects (HIP 10. The library collections scale and library facilities scale displayed a moderately strong correlation with learning communities (HIP 3 and collaborative assignments and projects (HIP 5. The library instruction scale displayed a strong positive correlation with HIP 3 and a very strong
Observation of Correlated Azimuthal Anisotropy Fourier Harmonics in pp and p+Pb Collisions at the LHC.
Science.gov (United States)
Sirunyan, A M; Tumasyan, A; Adam, W; Ambrogi, F; Asilar, E; Bergauer, T; Brandstetter, J; Brondolin, E; Dragicevic, M; Erö, J; Flechl, M; Friedl, M; Frühwirth, R; Ghete, V M; Grossmann, J; Hrubec, J; Jeitler, M; König, A; Krammer, N; Krätschmer, I; Liko, D; Madlener, T; Mikulec, I; Pree, E; Rabady, D; Rad, N; Rohringer, H; Schieck, J; Schöfbeck, R; Spanring, M; Spitzbart, D; Waltenberger, W; Wittmann, J; Wulz, C-E; Zarucki, M; Chekhovsky, V; Mossolov, V; Suarez Gonzalez, J; De Wolf, E A; Di Croce, D; Janssen, X; Lauwers, J; Van Haevermaet, H; Van Mechelen, P; Van Remortel, N; Abu Zeid, S; Blekman, F; D'Hondt, J; De Bruyn, I; De Clercq, J; Deroover, K; Flouris, G; Lontkovskyi, D; Lowette, S; Moortgat, S; Moreels, L; Python, Q; Skovpen, K; Tavernier, S; Van Doninck, W; Van Mulders, P; Van Parijs, I; Brun, H; Clerbaux, B; De Lentdecker, G; Delannoy, H; Fasanella, G; Favart, L; Goldouzian, R; Grebenyuk, A; Karapostoli, G; Lenzi, T; Luetic, J; Maerschalk, T; Marinov, A; Randle-Conde, A; Seva, T; Vander Velde, C; Vanlaer, P; Vannerom, D; Yonamine, R; Zenoni, F; Zhang, F; Cimmino, A; Cornelis, T; Dobur, D; Fagot, A; Gul, M; Khvastunov, I; Poyraz, D; Roskas, C; Salva, S; Tytgat, M; Verbeke, W; Zaganidis, N; Bakhshiansohi, H; Bondu, O; Brochet, S; Bruno, G; Caputo, C; Caudron, A; De Visscher, S; Delaere, C; Delcourt, M; Francois, B; Giammanco, A; Jafari, A; Komm, M; Krintiras, G; Lemaitre, V; Magitteri, A; Mertens, A; Musich, M; Piotrzkowski, K; Quertenmont, L; Vidal Marono, M; Wertz, S; Beliy, N; Aldá Júnior, W L; Alves, F L; Alves, G A; Brito, L; Correa Martins Junior, M; Hensel, C; Moraes, A; Pol, M E; Rebello Teles, P; Belchior Batista Das Chagas, E; Carvalho, W; Chinellato, J; Custódio, A; Da Costa, E M; Da Silveira, G G; De Jesus Damiao, D; Fonseca De Souza, S; Huertas Guativa, L M; Malbouisson, H; Melo De Almeida, M; Mora Herrera, C; Mundim, L; Nogima, H; Santoro, A; Sznajder, A; Tonelli Manganote, E J; Torres Da Silva De Araujo, F; Vilela Pereira, A; Ahuja, S; Bernardes, C A; Tomei, T R Fernandez Perez; Gregores, E M; Mercadante, P G; Novaes, S F; Padula, Sandra S; Romero Abad, D; Ruiz Vargas, J C; Aleksandrov, A; Hadjiiska, R; Iaydjiev, P; Misheva, M; Rodozov, M; Shopova, M; Stoykova, S; Sultanov, G; Dimitrov, A; Glushkov, I; Litov, L; Pavlov, B; Petkov, P; Fang, W; Gao, X; Ahmad, M; Bian, J G; Chen, G M; Chen, H S; Chen, M; Chen, Y; Jiang, C H; Leggat, D; Liao, H; Liu, Z; Romeo, F; Shaheen, S M; Spiezia, A; Tao, J; Wang, C; Wang, Z; Yazgan, E; Zhang, H; Zhang, S; Zhao, J; Ban, Y; Chen, G; Li, Q; Liu, S; Mao, Y; Qian, S J; Wang, D; Xu, Z; Avila, C; Cabrera, A; Chaparro Sierra, L F; Florez, C; González Hernández, C F; Ruiz Alvarez, J D; Courbon, B; Godinovic, N; Lelas, D; Puljak, I; Ribeiro Cipriano, P M; Sculac, T; Antunovic, Z; Kovac, M; Brigljevic, V; Ferencek, D; Kadija, K; Mesic, B; Starodumov, A; Susa, T; Ather, M W; Attikis, A; Mavromanolakis, G; Mousa, J; Nicolaou, C; Ptochos, F; Razis, P A; Rykaczewski, H; Finger, M; Finger, M; Carrera Jarrin, E; Assran, Y; Mahmoud, M A; Mahrous, A; Dewanjee, R K; Kadastik, M; Perrini, L; Raidal, M; Tiko, A; Veelken, C; Eerola, P; Pekkanen, J; Voutilainen, M; Härkönen, J; Järvinen, T; Karimäki, V; Kinnunen, R; Lampén, T; Lassila-Perini, K; Lehti, S; Lindén, T; Luukka, P; Tuominen, E; Tuominiemi, J; Tuovinen, E; Talvitie, J; Tuuva, T; Besancon, M; Couderc, F; Dejardin, M; Denegri, D; Faure, J L; Ferri, F; Ganjour, S; Ghosh, S; Givernaud, A; Gras, P; Hamel de Monchenault, G; Jarry, P; Kucher, I; Locci, E; Machet, M; Malcles, J; Negro, G; Rander, J; Rosowsky, A; Sahin, M Ã; Titov, M; Abdulsalam, A; Amendola, C; Antropov, I; Baffioni, S; Beaudette, F; Busson, P; Cadamuro, L; Charlot, C; Granier de Cassagnac, R; Jo, M; Lisniak, S; Lobanov, A; Martin Blanco, J; Nguyen, M; Ochando, C; Ortona, G; Paganini, P; Pigard, P; Salerno, R; Sauvan, J B; Sirois, Y; Stahl Leiton, A G; Strebler, T; Yilmaz, Y; Zabi, A; Zghiche, A; Agram, J-L; Andrea, J; Bloch, D; Brom, J-M; Buttignol, M; Chabert, E C; Chanon, N; Collard, C; Conte, E; Coubez, X; Fontaine, J-C; Gelé, D; Goerlach, U; Jansová, M; Le Bihan, A-C; Tonon, N; Van Hove, P; Gadrat, S; Beauceron, S; Bernet, C; Boudoul, G; Chierici, R; Contardo, D; Depasse, P; El Mamouni, H; Fay, J; Finco, L; Gascon, S; Gouzevitch, M; Grenier, G; Ille, B; Lagarde, F; Laktineh, I B; Lethuillier, M; Mirabito, L; Pequegnot, A L; Perries, S; Popov, A; Sordini, V; Vander Donckt, M; Viret, S; Toriashvili, T; Tsamalaidze, Z; Autermann, C; Feld, L; Kiesel, M K; Klein, K; Lipinski, M; Preuten, M; Schomakers, C; Schulz, J; Verlage, T; Zhukov, V; Albert, A; Dietz-Laursonn, E; Duchardt, D; Endres, M; Erdmann, M; Erdweg, S; Esch, T; Fischer, R; Güth, A; Hamer, M; Hebbeker, T; Heidemann, C; Hoepfner, K; Knutzen, S; Merschmeyer, M; Meyer, A; Millet, P; Mukherjee, S; Pook, T; Radziej, M; Reithler, H; Rieger, M; Scheuch, F; Teyssier, D; Thüer, S; Flügge, G; Kargoll, B; Kress, T; Künsken, A; Lingemann, J; Müller, T; Nehrkorn, A; Nowack, A; Pistone, C; Pooth, O; Stahl, A; Aldaya Martin, M; Arndt, T; Asawatangtrakuldee, C; Beernaert, K; Behnke, O; Behrens, U; Bermúdez MartÃnez, A; Bin Anuar, A A; Borras, K; Botta, V; Campbell, A; Connor, P; Contreras-Campana, C; Costanza, F; Diez Pardos, C; Eckerlin, G; Eckstein, D; Eichhorn, T; Eren, E; Gallo, E; Garay Garcia, J; Geiser, A; Gizhko, A; Grados Luyando, J M; Grohsjean, A; Gunnellini, P; Guthoff, M; Harb, A; Hauk, J; Hempel, M; Jung, H; Kalogeropoulos, A; Kasemann, M; Keaveney, J; Kleinwort, C; Korol, I; Krücker, D; Lange, W; Lelek, A; Lenz, T; Leonard, J; Lipka, K; Lohmann, W; Mankel, R; Melzer-Pellmann, I-A; Meyer, A B; Mittag, G; Mnich, J; Mussgiller, A; Ntomari, E; Pitzl, D; Raspereza, A; Roland, B; Savitskyi, M; Saxena, P; Shevchenko, R; Spannagel, S; Stefaniuk, N; Van Onsem, G P; Walsh, R; Wen, Y; Wichmann, K; Wissing, C; Zenaiev, O; Bein, S; Blobel, V; Centis Vignali, M; Dreyer, T; Garutti, E; Gonzalez, D; Haller, J; Hinzmann, A; Hoffmann, M; Karavdina, A; Klanner, R; Kogler, R; Kovalchuk, N; Kurz, S; Lapsien, T; Marchesini, I; 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Cumalat, J P; Ford, W T; Jensen, F; Johnson, A; Krohn, M; Leontsinis, S; Mulholland, T; Stenson, K; Wagner, S R; Alexander, J; Chaves, J; Chu, J; Dittmer, S; Mcdermott, K; Mirman, N; Patterson, J R; Rinkevicius, A; Ryd, A; Skinnari, L; Soffi, L; Tan, S M; Tao, Z; Thom, J; Tucker, J; Wittich, P; Zientek, M; Abdullin, S; Albrow, M; Apollinari, G; Apresyan, A; Apyan, A; Banerjee, S; Bauerdick, L A T; Beretvas, A; Berryhill, J; Bhat, P C; Bolla, G; Burkett, K; Butler, J N; Canepa, A; Cerati, G B; Cheung, H W K; Chlebana, F; Cremonesi, M; Duarte, J; Elvira, V D; Freeman, J; Gecse, Z; Gottschalk, E; Gray, L; Green, D; Grünendahl, S; Gutsche, O; Harris, R M; Hasegawa, S; Hirschauer, J; Hu, Z; Jayatilaka, B; Jindariani, S; Johnson, M; Joshi, U; Klima, B; Kreis, B; Lammel, S; Lincoln, D; Lipton, R; Liu, M; Liu, T; Lopes De Sá, R; Lykken, J; Maeshima, K; Magini, N; Marraffino, J M; Maruyama, S; Mason, D; McBride, P; Merkel, P; Mrenna, S; Nahn, S; O'Dell, V; Pedro, K; Prokofyev, O; Rakness, G; Ristori, L; Schneider, B; Sexton-Kennedy, E; Soha, A; Spalding, W J; Spiegel, L; Stoynev, S; Strait, J; Strobbe, N; Taylor, L; Tkaczyk, S; Tran, N V; Uplegger, L; Vaandering, E W; Vernieri, C; Verzocchi, M; Vidal, R; Wang, M; Weber, H A; Whitbeck, A; Acosta, D; Avery, P; Bortignon, P; Bourilkov, D; Brinkerhoff, A; Carnes, A; Carver, M; Curry, D; Field, R D; Furic, I K; Konigsberg, J; Korytov, A; Kotov, K; Ma, P; Matchev, K; Mei, H; Mitselmakher, G; Rank, D; Sperka, D; Terentyev, N; Thomas, L; Wang, J; Wang, S; Yelton, J; Joshi, Y R; Linn, S; Markowitz, P; Rodriguez, J L; Ackert, A; Adams, T; Askew, A; Hagopian, S; Hagopian, V; Johnson, K F; Kolberg, T; Martinez, G; Perry, T; Prosper, H; Saha, A; Santra, A; Sharma, V; Yohay, R; Baarmand, M M; Bhopatkar, V; Colafranceschi, S; Hohlmann, M; Noonan, D; Roy, T; Yumiceva, F; Adams, M R; Apanasevich, L; Berry, D; Betts, R R; Cavanaugh, R; Chen, X; Evdokimov, O; Gerber, C E; Hangal, D A; Hofman, D J; Jung, K; Kamin, J; Sandoval Gonzalez, I D; Tonjes, M B; Trauger, H; Varelas, N; Wang, H; Wu, Z; Zhang, J; Bilki, B; Clarida, W; Dilsiz, K; Durgut, S; Gandrajula, R P; Haytmyradov, M; Khristenko, V; Merlo, J-P; Mermerkaya, H; Mestvirishvili, A; Moeller, A; Nachtman, J; Ogul, H; Onel, Y; Ozok, F; Penzo, A; Snyder, C; Tiras, E; Wetzel, J; Yi, K; Blumenfeld, B; Cocoros, A; Eminizer, N; Fehling, D; Feng, L; Gritsan, A V; Maksimovic, P; Roskes, J; Sarica, U; Swartz, M; Xiao, M; You, C; Al-Bataineh, A; Baringer, P; Bean, A; Boren, S; Bowen, J; Castle, J; Khalil, S; Kropivnitskaya, A; Majumder, D; Mcbrayer, W; Murray, M; Royon, C; Sanders, S; Schmitz, E; Tapia Takaki, J D; Wang, Q; Ivanov, A; Kaadze, K; Maravin, Y; Mohammadi, A; Saini, L K; Skhirtladze, N; Toda, S; Rebassoo, F; Wright, D; Anelli, C; Baden, A; Baron, O; Belloni, A; Calvert, B; Eno, S C; Ferraioli, C; Hadley, N J; Jabeen, S; Jeng, G Y; Kellogg, R G; Kunkle, J; Mignerey, A C; Ricci-Tam, F; Shin, Y H; Skuja, A; Tonwar, S C; Abercrombie, D; Allen, B; Azzolini, V; Barbieri, R; Baty, A; Bi, R; Brandt, S; Busza, W; Cali, I A; D'Alfonso, M; Demiragli, Z; Gomez Ceballos, G; Goncharov, M; Hsu, D; Iiyama, Y; Innocenti, G M; Klute, M; Kovalskyi, D; Lai, Y S; Lee, Y-J; Levin, A; Luckey, P D; Maier, B; Marini, A C; Mcginn, C; Mironov, C; Narayanan, S; Niu, X; Paus, C; Roland, C; Roland, G; Salfeld-Nebgen, J; Stephans, G S F; Tatar, K; Velicanu, D; Wang, J; Wang, T W; Wyslouch, B; Benvenuti, A C; Chatterjee, R M; Evans, A; Hansen, P; Kalafut, S; Kubota, Y; Lesko, Z; Mans, J; Nourbakhsh, S; Ruckstuhl, N; Rusack, R; Turkewitz, J; Acosta, J G; Oliveros, S; Avdeeva, E; Bloom, K; Claes, D R; Fangmeier, C; Gonzalez Suarez, R; Kamalieddin, R; Kravchenko, I; Monroy, J; Siado, J E; Snow, G R; Stieger, B; Alyari, M; Dolen, J; Godshalk, A; Harrington, C; Iashvili, I; Nguyen, D; Parker, A; Rappoccio, S; Roozbahani, B; Alverson, G; Barberis, E; Hortiangtham, A; Massironi, A; Morse, D M; Nash, D; Orimoto, T; Teixeira De Lima, R; Trocino, D; Wood, D; Bhattacharya, S; Charaf, O; Hahn, K A; Mucia, N; Odell, N; Pollack, B; Schmitt, M H; Sung, K; Trovato, M; Velasco, M; Dev, N; Hildreth, M; Hurtado Anampa, K; Jessop, C; Karmgard, D J; Kellams, N; Lannon, K; Loukas, N; Marinelli, N; Meng, F; Mueller, C; Musienko, Y; Planer, M; Reinsvold, A; Ruchti, R; Smith, G; Taroni, S; Wayne, M; Wolf, M; Woodard, A; Alimena, J; Antonelli, L; Bylsma, B; Durkin, L S; Flowers, S; Francis, B; Hart, A; Hill, C; Ji, W; Liu, B; Luo, W; Puigh, D; Winer, B L; Wulsin, H W; Cooperstein, S; Driga, O; Elmer, P; Hardenbrook, J; Hebda, P; Higginbotham, S; Lange, D; Luo, J; Marlow, D; Mei, K; Ojalvo, I; Olsen, J; Palmer, C; Piroué, P; Stickland, D; Tully, C; Malik, S; Norberg, S; Barker, A; Barnes, V E; Das, S; Folgueras, S; Gutay, L; Jha, M K; Jones, M; Jung, A W; Khatiwada, A; Miller, D H; Neumeister, N; Peng, C C; Schulte, J F; Sun, J; Wang, F; Xie, W; Cheng, T; Parashar, N; Stupak, J; Adair, A; Akgun, B; Chen, Z; Ecklund, K M; Geurts, F J M; Guilbaud, M; Li, W; Michlin, B; Northup, M; Padley, B P; Roberts, J; Rorie, J; Tu, Z; Zabel, J; Bodek, A; de Barbaro, P; Demina, R; Duh, Y T; Ferbel, T; Galanti, M; Garcia-Bellido, A; Han, J; Hindrichs, O; Khukhunaishvili, A; Lo, K H; Tan, P; Verzetti, M; Ciesielski, R; Goulianos, K; Mesropian, C; Agapitos, A; Chou, J P; Gershtein, Y; Gómez Espinosa, T A; Halkiadakis, E; Heindl, M; Hughes, E; Kaplan, S; Kunnawalkam Elayavalli, R; Kyriacou, S; Lath, A; Montalvo, R; Nash, K; Osherson, M; Saka, H; Salur, S; Schnetzer, S; Sheffield, D; Somalwar, S; Stone, R; Thomas, S; Thomassen, P; Walker, M; Delannoy, A G; Foerster, M; Heideman, J; Riley, G; Rose, K; Spanier, S; Thapa, K; Bouhali, O; Castaneda Hernandez, A; Celik, A; Dalchenko, M; De Mattia, M; Delgado, A; Dildick, S; Eusebi, R; Gilmore, J; Huang, T; Kamon, T; Mueller, R; Pakhotin, Y; Patel, R; Perloff, A; Perniè, L; Rathjens, D; Safonov, A; Tatarinov, A; Ulmer, K A; Akchurin, N; Damgov, J; De Guio, F; Dudero, P R; Faulkner, J; Gurpinar, E; Kunori, S; Lamichhane, K; Lee, S W; Libeiro, T; Peltola, T; Undleeb, S; Volobouev, I; Wang, Z; Greene, S; Gurrola, A; Janjam, R; Johns, W; Maguire, C; Melo, A; Ni, H; Padeken, K; Sheldon, P; Tuo, S; Velkovska, J; Xu, Q; Barria, P; Cox, B; Hirosky, R; Joyce, M; Ledovskoy, A; Li, H; Neu, C; Sinthuprasith, T; Wang, Y; Wolfe, E; Xia, F; Harr, R; Karchin, P E; Sturdy, J; Zaleski, S; Brodski, M; Buchanan, J; Caillol, C; Dasu, S; Dodd, L; Duric, S; Gomber, B; Grothe, M; Herndon, M; Hervé, A; Hussain, U; Klabbers, P; Lanaro, A; Levine, A; Long, K; Loveless, R; Pierro, G A; Polese, G; Ruggles, T; Savin, A; Smith, N; Smith, W H; Taylor, D; Woods, N
2018-03-02
The azimuthal anisotropy Fourier coefficients (v_{n}) in 8.16Â TeV p+Pb data are extracted via long-range two-particle correlations as a function of the event multiplicity and compared to corresponding results in pp and PbPb collisions. Using a four-particle cumulant technique, v_{n} correlations are measured for the first time in pp and p+Pb collisions. The v_{2} and v_{4} coefficients are found to be positively correlated in all collision systems. For high-multiplicity p+Pb collisions, an anticorrelation of v_{2} and v_{3} is observed, with a similar correlation strength as in PbPb data at the same multiplicity. The new correlation results strengthen the case for a common origin of the collectivity seen in p+Pb and PbPb collisions in the measured multiplicity range.
Correlation between oro and hypopharynx shape and position with endotracheal intubation difficulty
Directory of Open Access Journals (Sweden)
Daher Rabadi
2014-12-01
Full Text Available Background and objective: Prediction of intubation difficulty can save patients from major preoperative morbidity or mortality. The purpose of this paper is to assess the correlation between oro-hypo pharynx position, neck size, and length with endotracheal intubation difficulty. The study also explored the diagnostic value of Friedman Staging System in prediction cases with difficult intubation. Method: The consecutive 500 ASA (I, II adult patients undergoing elective surgery were evaluated for oro and hypopharynx shape and position by modified Mallampati, Cormack and Lehane score as well as Friedman obstructive sleep apnea classification systems. Neck circumference and length were also measured. All cases were intubated by a single anesthesiologist who was uninformed of the above evaluation and graded intubation difficulty in visual analog score. Correlation between these findings and difficulty of intubation was assessed. Sensitivity, Specificity, Positive and Negative Predictive Values were also reported. Results: Cormack-Lehane grade had the strongest correlation with difficulty of intubation followed by Friedman palate position. Friedman palate position was the most sensitive and had higher positive and negative predictive values than modified Mallampati classification. Cormack-Lehane grade was found to be the most specific with the highest negative predictive value among the four studied classifications. Conclusion: Friedman palate position is a more useful, valuable and sensitive test compared to the modified Mallampati screening test for pre-anesthetic prediction of difficult intubation where its involvement in Multivariate model may raise the accuracy and diagnostic value of preoperative assessment of difficult airway.
On the origin of the correlations between Gamma-Ray Burst observables
CERN Document Server
Dado, S; De Rújula, Alvaro; Dado, Shlomo; Dar, Arnon
2007-01-01
Several pairs of observable properties of Gamma Ray Bursts (GRBs) are known to be correlated. Many such correlations are straightforward predictions of the 'cannonball' model of GRBs. We extend our previous discussions of the subject to a wealth of new data, and to correlations between 'lag-time', 'variability' and 'minimum rise-time', with other observables. Schaefer's recent systematic analysis of the observations of many GRBs of known red-shift gives us a good and updated data-basis for our study.
Positive Correlation of Serum Adiponectin with Lipid Profile in Patients with Type 2 Diabetes Mellitus is Affected by Metabolic Syndrome Status.
Science.gov (United States)
Eslamian, Mohammad; Mohammadinejad, Payam; Aryan, Zahra; Nakhjavani, Manouchehr; Esteghamati, Alireza
2016-04-01
Type-2 diabetes mellitus (DM) and Metabolic syndrome (MetS) are both associated with dyslipidemia which may lead to development of vascular complications. Adiponectin is an anti-inflammatory protein synthesized by the adipose tissue. There is controversy regarding the association of adiponectin with lipid profile. To evaluate the correlation between serum adiponectin concentration and metabolic profile in patients with type-2 DM. A single center cross-sectional study was conducted on 173 patients with type-2 DM (82 males and 91 females). Plasma adiponectin concentration, lipid profile, glucose profile, and anthropometric features were investigated. Insulin resistance was determined using Homeostasis model assessment (HOMA). Correlation of serum adiponectin with lipid profile of patients with type-2 DM was assessed. Adiponectin was negatively correlated with waist circumference (r = -0.16, P = 0.06) and positively with HbA1c (r = 0.19, P = 0.032), total cholesterol (r = 0.23, P = 0.017), LDL (r = 0.30, P = 0.001), SD-LDL (r = 0.41, P < 0.001), and SD-LDL/LDL (r = 0.22, P = 0.023). We found a positive correlation between adiponectin and total cholesterol (r = 0.27, P = 0.055), LDL (r = 0.34, P = 0.026) and SD-LDL (r = 0.41, P = 0.006) in patients with at least 3 components of MetS criteria. Correlation of adiponectin with LDL and SD-LDL remained positively significant with increasing the number of MetS components. In patients with 5 components of MetS, serum adiponectin was significantly correlated with serum triglyceride (r = 0.89). Significant interaction was observed between adiponectin and metabolic syndrome in relation to serum lipid profile. The results of the present study suggest that in patients with type-2 DM and MetS, lipid profile is strongly correlated with blood concentration of adiponectin. The strongest association was observed between serum adiponectin and LDL.
Habitual physical activity levels are positively correlated with CD4 ...
African Journals Online (AJOL)
Habitual physical activity levels are positively correlated with CD4 counts in an ... per month) and functional independence as assessed from the responses to the ... and between CD4 cell counts and total habitual physical activity levels (p ...
Correlation of regional cerebral blood flow and positive/negative symptoms in schizophrenic patients: covariate SPM analysis
Energy Technology Data Exchange (ETDEWEB)
Lim, Ki Chun; Kim, J. S.; Kim, C. Y.; Lee, H. K.; Moon, D. H. [Ulsan University, Seoul (Korea, Republic of)
2002-07-01
We investigated the relations between rCBF and psychopathology in schizophrenic patients using a SPM99. Thirty-two patients(M/F:22/10, 25{+-}5,6yr) with active symptoms of schizophrenia and 15 age matched normal controls underwent Tc-99m ECD brain perfusion SPECT. Psychopathology of all patients were also assessed according to PANSS (positive and negative syndrome scale in schizophrenia). By covariate SPM analysis, specific areas where rCBF correlated with sum scores of positive/negative synptoms were identified. Regional CBF of schizophrenics was different in several cortical regions from normal controls. Sum scores of positive symptoms were positively correlated with rCBF of both rectal and inferior frontal gyri and right transverse temporal gyrus, and negatively correlated with rCBF of left lingual and right middle temporal gyri (p<0.01). Sum scores of negative symptoms were positively correlated with rCBF of both middle temporal gyri and negatively correlated with rCBF of right superior parietal lobule and medial frontal gyrus (p<0.01). Positive and negative symptoms of schizophrenia were correlated with rCBF change in different regions of cerebral association cortex.
Correlation of regional cerebral blood flow and positive/negative symptoms in schizophrenic patients: covariate SPM analysis
International Nuclear Information System (INIS)
Lim, Ki Chun; Kim, J. S.; Kim, C. Y.; Lee, H. K.; Moon, D. H.
2002-01-01
We investigated the relations between rCBF and psychopathology in schizophrenic patients using a SPM99. Thirty-two patients(M/F:22/10, 25±5,6yr) with active symptoms of schizophrenia and 15 age matched normal controls underwent Tc-99m ECD brain perfusion SPECT. Psychopathology of all patients were also assessed according to PANSS (positive and negative syndrome scale in schizophrenia). By covariate SPM analysis, specific areas where rCBF correlated with sum scores of positive/negative synptoms were identified. Regional CBF of schizophrenics was different in several cortical regions from normal controls. Sum scores of positive symptoms were positively correlated with rCBF of both rectal and inferior frontal gyri and right transverse temporal gyrus, and negatively correlated with rCBF of left lingual and right middle temporal gyri (p<0.01). Sum scores of negative symptoms were positively correlated with rCBF of both middle temporal gyri and negatively correlated with rCBF of right superior parietal lobule and medial frontal gyrus (p<0.01). Positive and negative symptoms of schizophrenia were correlated with rCBF change in different regions of cerebral association cortex
Correlation of circRNAsâ differential expression to negative- positive symptoms of patients with schizophrenia
Directory of Open Access Journals (Sweden)
Ling-ming KONG
2017-11-01
Full Text Available Objective To explore the correlation of circRNAs' expression level to the negative- and positive symptoms of patients with schizophrenia (SZ. Methods Gene chip screening was performed with the peripheral blood samples from each five of SZ patients and normal controls. Nine circRNAs showing differentiate expression were confirmed, and further verification was done by real-time fluorescence quantitative PCR in 102 SZ patients and 103 normal controls. All the SZ patients were assessed with Positive and Negative Symptom Scale (PANSS. Results It was revealed that the expression levels of circRNA_102101, circRNA_102315, circRNA_104597, circRNA_101835 and circRNA_101836 were significantly down-regulated (P<0.01 or P<0.05, and circRNA_103102 and circRNA_103704 were up-regulated in SZ group (P<0.01. The ÎCT value of circRNA_102101 and circRNA_103102 was positively correlated to the positive symptoms (P<0.01 or P<0.05, and the ÎCT value of circRNA_103704 also showed positive correlation with positive symptoms and general psychopathological symptoms (P<0.01 or P<0.05. The ÎCT values of circRNA_102101, circRNA_103102, circRNA_102315, circRNA_103704 and circRNA_102802 were correlated with thinking disorder (P<0.01 or P<0.05, and the ÎCT values of circRNA_102101, circRNA_103102, circRNA_104597, circRNA_103704 and circRNA_102802 were correlated with the activation (P<0.01 or P<0.05. The ÎCT values of circRNA_102101, circRNA_103102, circRNA_103704 and circRNA_102802 were positively correlated with paranoid (P<0.01 or P<0.05, and of circRNA_102101, circRNA_103102, circRNA_103704 and circRNA_102802 were markedly correlated with assault (P<0.01 or P<0.05. Therefore, circRNA_103704 was chosen into regressive equation of positive symptoms (P<0.01, and circRNA_103704 and circRNA_102315 were chosen into regressive equation of general pathological findings (P<0.01 or P<0.05. Conclusion The expression levels of circRNA_103704 and circRNA_103102 are obviously up
The effect of correlated observations on the performance of distributed estimation
KAUST Repository
Ahmed, Mohammed
2013-12-01
Estimating unknown signal in Wireless Sensor Networks (WSNs) requires sensor nodes to transmit their observations of the signal over a multiple access channel to a Fusion Center (FC). The FC uses the received observations, which is corrupted by observation noise and both channel fading and noise, to find the minimum Mean Square Error (MSE) estimate of the signal. In this paper, we investigate the effect of the source-node correlation (the correlation between sensor node observations and the source signal) and the inter-node correlation (the correlation between sensor node observations) on the performance of the Linear Minimum Mean Square Error (LMMSE) estimator for three correlation models in the presence of channel fading. First, we investigate the asymptotic behavior of the achieved distortion (i.e., MSE) resulting from both the observation and channel noise in a non-fading channel. Then, the effect of channel fading is considered and the corresponding distortion outage probability, the probability that the distortion exceeds a certain value, is found. By representing the distortion as a ratio of indefinite quadratic forms, a closed-form expression is derived for the outage probability that shows its dependency on the correlation. Finally, the new representation of the outage probability allows us to propose an iterative solution for the power allocation problem to minimize the outage probability under total and individual power constraints. Numerical simulations are provided to verify our analytic results. © 2013 IEEE.
Correlation between human observer performance and model observer performance in differential phase contrast CT
International Nuclear Information System (INIS)
Li, Ke; Garrett, John; Chen, Guang-Hong
2013-01-01
Purpose: With the recently expanding interest and developments in x-ray differential phase contrast CT (DPC-CT), the evaluation of its task-specific detection performance and comparison with the corresponding absorption CT under a given radiation dose constraint become increasingly important. Mathematical model observers are often used to quantify the performance of imaging systems, but their correlations with actual human observers need to be confirmed for each new imaging method. This work is an investigation of the effects of stochastic DPC-CT noise on the correlation of detection performance between model and human observers with signal-known-exactly (SKE) detection tasks.Methods: The detectabilities of different objects (five disks with different diameters and two breast lesion masses) embedded in an experimental DPC-CT noise background were assessed using both model and human observers. The detectability of the disk and lesion signals was then measured using five types of model observers including the prewhitening ideal observer, the nonprewhitening (NPW) observer, the nonprewhitening observer with eye filter and internal noise (NPWEi), the prewhitening observer with eye filter and internal noise (PWEi), and the channelized Hotelling observer (CHO). The same objects were also evaluated by four human observers using the two-alternative forced choice method. The results from the model observer experiment were quantitatively compared to the human observer results to assess the correlation between the two techniques.Results: The contrast-to-detail (CD) curve generated by the human observers for the disk-detection experiments shows that the required contrast to detect a disk is inversely proportional to the square root of the disk size. Based on the CD curves, the ideal and NPW observers tend to systematically overestimate the performance of the human observers. The NPWEi and PWEi observers did not predict human performance well either, as the slopes of their CD
Eosinophil count is positively correlated with coronary artery calcification
International Nuclear Information System (INIS)
Tanaka, Muhei; Fukui, Michiaki; Yamasaki, Masahiro; Hasegawa, Goji; Oda, Yohei; Nakamura, Naoto; Tomiyasu, Ki-ichiro; Akabame, Satoshi; Nakano, Koji
2012-01-01
Recent studies suggested that allergic disorders and increased eosinophil count were associated with atherosclerosis. The purpose of this study was to assess the relationship between eosinophil count and coronary artery calcification (CAC). We performed a cross-sectional study in 1363 consecutive participants with clinical suspicion of coronary heart disease (CHD). We evaluated the relationships between CAC score determined by multislice CT and peripheral eosinophil count as well as major cardiovascular risk factors, including age, body mass index, smoking status, hypertension, dyslipidemia, diabetes mellitus (DM), high-sensitivity C-reactive protein and estimated glomerular filtration rate (eGFR). Sex (P=0.0004), hypertension (P=0.0002), dyslipidemia (P=0.0004) and DM (P=0.0061) were associated with log (CAC+1), respectively. Positive correlations were found between log (CAC+1), and age (r=0.325, P<0.0001) and eosinophil count (r=0.165, P<0.0001). Negative correlations were found between log (CAC+1) and eGFR (r=-0.166, P<0.0001). Multivariate linear regression analysis demonstrated that age (β=0.314, P<0.0001), sex (β=0.124, P<0.0001), hypertension (β=0.084, P=0.0008), DM (β=0.108, P<0.0001), eGFR (β=-0.079, P=0.0021) and eosinophil count (β=0.147, P<0.0001) were independent determinants of log (CAC+1). In conclusion, eosinophil count correlated positively with CAC in participants with clinical suspicion of CHD. (author)
Observation of Correlated Azimuthal Anisotropy Fourier Harmonics in p p and p +Pb Collisions at the LHC
Science.gov (United States)
Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; Asilar, E.; Bergauer, T.; Brandstetter, J.; Brondolin, E.; Dragicevic, M.; Erö, J.; Flechl, M.; Friedl, M.; Frühwirth, R.; Ghete, V. M.; Grossmann, J.; Hrubec, J.; Jeitler, M.; König, A.; Krammer, N.; Krätschmer, I.; Liko, D.; Madlener, T.; Mikulec, I.; Pree, E.; Rabady, D.; Rad, N.; Rohringer, H.; Schieck, J.; Schöfbeck, R.; Spanring, M.; Spitzbart, D.; Waltenberger, W.; Wittmann, J.; Wulz, C.-E.; Zarucki, M.; Chekhovsky, V.; Mossolov, V.; Suarez Gonzalez, J.; De Wolf, E. A.; Di Croce, D.; Janssen, X.; Lauwers, J.; Van Haevermaet, H.; Van Mechelen, P.; Van Remortel, N.; Abu Zeid, S.; Blekman, F.; D'Hondt, J.; De Bruyn, I.; De Clercq, J.; Deroover, K.; Flouris, G.; Lontkovskyi, D.; Lowette, S.; Moortgat, S.; Moreels, L.; Python, Q.; Skovpen, K.; Tavernier, S.; Van Doninck, W.; Van Mulders, P.; Van Parijs, I.; Brun, H.; Clerbaux, B.; De Lentdecker, G.; Delannoy, H.; Fasanella, G.; Favart, L.; Goldouzian, R.; Grebenyuk, A.; Karapostoli, G.; Lenzi, T.; Luetic, J.; Maerschalk, T.; Marinov, A.; Randle-conde, A.; Seva, T.; Vander Velde, C.; Vanlaer, P.; Vannerom, D.; Yonamine, R.; Zenoni, F.; Zhang, F.; Cimmino, A.; Cornelis, T.; Dobur, D.; Fagot, A.; Gul, M.; Khvastunov, I.; Poyraz, D.; Roskas, C.; Salva, S.; Tytgat, M.; Verbeke, W.; Zaganidis, N.; Bakhshiansohi, H.; Bondu, O.; Brochet, S.; Bruno, G.; Caputo, C.; Caudron, A.; De Visscher, S.; Delaere, C.; Delcourt, M.; Francois, B.; Giammanco, A.; Jafari, A.; Komm, M.; Krintiras, G.; Lemaitre, V.; Magitteri, A.; Mertens, A.; Musich, M.; Piotrzkowski, K.; Quertenmont, L.; Vidal Marono, M.; Wertz, S.; Beliy, N.; Aldá Júnior, W. L.; Alves, F. L.; Alves, G. A.; Brito, L.; Correa Martins Junior, M.; Hensel, C.; Moraes, A.; Pol, M. E.; Rebello Teles, P.; Belchior Batista Das Chagas, E.; Carvalho, W.; Chinellato, J.; Custódio, A.; Da Costa, E. M.; Da Silveira, G. G.; De Jesus Damiao, D.; Fonseca De Souza, S.; Huertas Guativa, L. M.; Malbouisson, H.; Melo De Almeida, M.; Mora Herrera, C.; Mundim, L.; Nogima, H.; Santoro, A.; Sznajder, A.; Tonelli Manganote, E. J.; Torres Da Silva De Araujo, F.; Vilela Pereira, A.; Ahuja, S.; Bernardes, C. A.; Tomei, T. R. Fernandez Perez; Gregores, E. M.; Mercadante, P. G.; Novaes, S. F.; Padula, Sandra S.; Romero Abad, D.; Ruiz Vargas, J. C.; Aleksandrov, A.; Hadjiiska, R.; Iaydjiev, P.; Misheva, M.; Rodozov, M.; Shopova, M.; Stoykova, S.; Sultanov, G.; Dimitrov, A.; Glushkov, I.; Litov, L.; Pavlov, B.; Petkov, P.; Fang, W.; Gao, X.; Ahmad, M.; Bian, J. G.; Chen, G. M.; Chen, H. S.; Chen, M.; Chen, Y.; Jiang, C. H.; Leggat, D.; Liao, H.; Liu, Z.; Romeo, F.; Shaheen, S. M.; Spiezia, A.; Tao, J.; Wang, C.; Wang, Z.; Yazgan, E.; Zhang, H.; Zhang, S.; Zhao, J.; Ban, Y.; Chen, G.; Li, Q.; Liu, S.; Mao, Y.; Qian, S. J.; Wang, D.; Xu, Z.; Avila, C.; Cabrera, A.; Chaparro Sierra, L. F.; Florez, C.; González Hernández, C. F.; Ruiz Alvarez, J. D.; Courbon, B.; Godinovic, N.; Lelas, D.; Puljak, I.; Ribeiro Cipriano, P. M.; Sculac, T.; Antunovic, Z.; Kovac, M.; Brigljevic, V.; Ferencek, D.; Kadija, K.; Mesic, B.; Starodumov, A.; Susa, T.; Ather, M. W.; Attikis, A.; Mavromanolakis, G.; Mousa, J.; Nicolaou, C.; Ptochos, F.; Razis, P. A.; Rykaczewski, H.; Finger, M.; Finger, M.; Carrera Jarrin, E.; Assran, Y.; Mahmoud, M. A.; Mahrous, A.; Dewanjee, R. K.; Kadastik, M.; Perrini, L.; Raidal, M.; Tiko, A.; Veelken, C.; Eerola, P.; Pekkanen, J.; Voutilainen, M.; Härkönen, J.; Järvinen, T.; Karimäki, V.; Kinnunen, R.; Lampén, T.; Lassila-Perini, K.; Lehti, S.; Lindén, T.; Luukka, P.; Tuominen, E.; Tuominiemi, J.; Tuovinen, E.; Talvitie, J.; Tuuva, T.; Besancon, M.; Couderc, F.; Dejardin, M.; Denegri, D.; Faure, J. L.; Ferri, F.; Ganjour, S.; Ghosh, S.; Givernaud, A.; Gras, P.; Hamel de Monchenault, G.; Jarry, P.; Kucher, I.; Locci, E.; Machet, M.; Malcles, J.; Negro, G.; Rander, J.; Rosowsky, A.; Sahin, M. Ã.-.; Titov, M.; Abdulsalam, A.; Amendola, C.; Antropov, I.; Baffioni, S.; Beaudette, F.; Busson, P.; Cadamuro, L.; Charlot, C.; Granier de Cassagnac, R.; Jo, M.; Lisniak, S.; Lobanov, A.; Martin Blanco, J.; Nguyen, M.; Ochando, C.; Ortona, G.; Paganini, P.; Pigard, P.; Salerno, R.; Sauvan, J. B.; Sirois, Y.; Stahl Leiton, A. G.; Strebler, T.; Yilmaz, Y.; Zabi, A.; Zghiche, A.; Agram, J.-L.; Andrea, J.; Bloch, D.; Brom, J.-M.; Buttignol, M.; Chabert, E. C.; Chanon, N.; Collard, C.; Conte, E.; Coubez, X.; Fontaine, J.-C.; Gelé, D.; Goerlach, U.; Jansová, M.; Le Bihan, A.-C.; Tonon, N.; Van Hove, P.; Gadrat, S.; Beauceron, S.; Bernet, C.; Boudoul, G.; Chierici, R.; Contardo, D.; Depasse, P.; El Mamouni, H.; Fay, J.; Finco, L.; Gascon, S.; Gouzevitch, M.; Grenier, G.; Ille, B.; Lagarde, F.; Laktineh, I. B.; Lethuillier, M.; Mirabito, L.; Pequegnot, A. L.; Perries, S.; Popov, A.; Sordini, V.; Vander Donckt, M.; Viret, S.; Toriashvili, T.; Tsamalaidze, Z.; Autermann, C.; Feld, L.; Kiesel, M. K.; Klein, K.; Lipinski, M.; Preuten, M.; Schomakers, C.; Schulz, J.; Verlage, T.; Zhukov, V.; Albert, A.; Dietz-Laursonn, E.; Duchardt, D.; Endres, M.; Erdmann, M.; Erdweg, S.; Esch, T.; Fischer, R.; Güth, A.; Hamer, M.; Hebbeker, T.; Heidemann, C.; Hoepfner, K.; Knutzen, S.; Merschmeyer, M.; Meyer, A.; Millet, P.; Mukherjee, S.; Pook, T.; Radziej, M.; Reithler, H.; Rieger, M.; Scheuch, F.; Teyssier, D.; Thüer, S.; Flügge, G.; Kargoll, B.; Kress, T.; Künsken, A.; Lingemann, J.; Müller, T.; Nehrkorn, A.; Nowack, A.; Pistone, C.; Pooth, O.; Stahl, A.; Aldaya Martin, M.; Arndt, T.; Asawatangtrakuldee, C.; Beernaert, K.; Behnke, O.; Behrens, U.; Bermúdez MartÃnez, A.; Bin Anuar, A. A.; Borras, K.; Botta, V.; Campbell, A.; Connor, P.; Contreras-Campana, C.; Costanza, F.; Diez Pardos, C.; Eckerlin, G.; Eckstein, D.; Eichhorn, T.; Eren, E.; Gallo, E.; Garay Garcia, J.; Geiser, A.; Gizhko, A.; Grados Luyando, J. M.; Grohsjean, A.; Gunnellini, P.; Guthoff, M.; Harb, A.; Hauk, J.; Hempel, M.; Jung, H.; Kalogeropoulos, A.; Kasemann, M.; Keaveney, J.; Kleinwort, C.; Korol, I.; Krücker, D.; Lange, W.; Lelek, A.; Lenz, T.; Leonard, J.; Lipka, K.; Lohmann, W.; Mankel, R.; Melzer-Pellmann, I.-A.; Meyer, A. B.; Mittag, G.; Mnich, J.; Mussgiller, A.; Ntomari, E.; Pitzl, D.; Raspereza, A.; Roland, B.; Savitskyi, M.; Saxena, P.; Shevchenko, R.; Spannagel, S.; Stefaniuk, N.; Van Onsem, G. P.; Walsh, R.; Wen, Y.; Wichmann, K.; Wissing, C.; Zenaiev, O.; Bein, S.; Blobel, V.; Centis Vignali, M.; Dreyer, T.; Garutti, E.; Gonzalez, D.; Haller, J.; Hinzmann, A.; Hoffmann, M.; Karavdina, A.; Klanner, R.; Kogler, R.; Kovalchuk, N.; Kurz, S.; Lapsien, T.; Marchesini, I.; Marconi, D.; Meyer, M.; Niedziela, M.; Nowatschin, D.; Pantaleo, F.; Peiffer, T.; Perieanu, A.; Scharf, C.; Schleper, P.; Schmidt, A.; Schumann, S.; Schwandt, J.; Sonneveld, J.; Stadie, H.; Steinbrück, G.; Stober, F. M.; Stöver, M.; Tholen, H.; Troendle, D.; Usai, E.; Vanelderen, L.; Vanhoefer, A.; Vormwald, B.; Akbiyik, M.; Barth, C.; Baur, S.; Butz, E.; Caspart, R.; Chwalek, T.; Colombo, F.; De Boer, W.; Dierlamm, A.; Freund, B.; Friese, R.; Giffels, M.; Haitz, D.; Hartmann, F.; Heindl, S. M.; Husemann, U.; Kassel, F.; Kudella, S.; Mildner, H.; Mozer, M. U.; Müller, Th.; Plagge, M.; Quast, G.; Rabbertz, K.; Schröder, M.; Shvetsov, I.; Sieber, G.; Simonis, H. J.; Ulrich, R.; Wayand, S.; Weber, M.; Weiler, T.; Williamson, S.; Wöhrmann, C.; Wolf, R.; Anagnostou, G.; Daskalakis, G.; Geralis, T.; Giakoumopoulou, V. A.; Kyriakis, A.; Loukas, D.; Topsis-Giotis, I.; Karathanasis, G.; Kesisoglou, S.; Panagiotou, A.; Saoulidou, N.; Kousouris, K.; Evangelou, I.; Foudas, C.; Kokkas, P.; Mallios, S.; Manthos, N.; Papadopoulos, I.; Paradas, E.; Strologas, J.; Triantis, F. A.; Csanad, M.; Filipovic, N.; Pasztor, G.; Veres, G. I.; Bencze, G.; Hajdu, C.; Horvath, D.; Hunyadi, Ã.; Sikler, F.; Veszpremi, V.; Zsigmond, A. J.; Beni, N.; Czellar, S.; Karancsi, J.; Makovec, A.; Molnar, J.; Szillasi, Z.; Bartók, M.; Raics, P.; Trocsanyi, Z. L.; Ujvari, B.; Choudhury, S.; Komaragiri, J. R.; Bahinipati, S.; Bhowmik, S.; Mal, P.; Mandal, K.; Nayak, A.; Sahoo, D. K.; Sahoo, N.; Swain, S. K.; Bansal, S.; Beri, S. B.; Bhatnagar, V.; Chawla, R.; Dhingra, N.; Kalsi, A. K.; Kaur, A.; Kaur, M.; Kumar, R.; Kumari, P.; Mehta, A.; Singh, J. B.; Walia, G.; Kumar, Ashok; Shah, Aashaq; Bhardwaj, A.; Chauhan, S.; Choudhary, B. C.; Garg, R. B.; Keshri, S.; Kumar, A.; Malhotra, S.; Naimuddin, M.; Ranjan, K.; Sharma, R.; Bhardwaj, R.; Bhattacharya, R.; Bhattacharya, S.; Bhawandeep, U.; Dey, S.; Dutt, S.; Dutta, S.; Ghosh, S.; Majumdar, N.; Modak, A.; Mondal, K.; Mukhopadhyay, S.; Nandan, S.; Purohit, A.; Roy, A.; Roy, D.; Roy Chowdhury, S.; Sarkar, S.; Sharan, M.; Thakur, S.; Behera, P. K.; Chudasama, R.; Dutta, D.; Jha, V.; Kumar, V.; Mohanty, A. K.; Netrakanti, P. K.; Pant, L. M.; Shukla, P.; Topkar, A.; Aziz, T.; Dugad, S.; Mahakud, B.; Mitra, S.; Mohanty, G. B.; Sur, N.; Sutar, B.; Banerjee, S.; Bhattacharya, S.; Chatterjee, S.; Das, P.; Guchait, M.; Jain, Sa.; Kumar, S.; Maity, M.; Majumder, G.; Mazumdar, K.; Sarkar, T.; Wickramage, N.; Chauhan, S.; Dube, S.; Hegde, V.; Kapoor, A.; Kothekar, K.; Pandey, S.; Rane, A.; Sharma, S.; Chenarani, S.; Eskandari Tadavani, E.; Etesami, S. M.; Khakzad, M.; Mohammadi Najafabadi, M.; Naseri, M.; Paktinat Mehdiabadi, S.; Rezaei Hosseinabadi, F.; Safarzadeh, B.; Zeinali, M.; Felcini, M.; Grunewald, M.; Abbrescia, M.; Calabria, C.; Colaleo, A.; Creanza, D.; Cristella, L.; De Filippis, N.; De Palma, M.; Errico, F.; Fiore, L.; Iaselli, G.; Lezki, S.; Maggi, G.; Maggi, M.; Miniello, G.; My, S.; Nuzzo, S.; Pompili, A.; Pugliese, G.; Radogna, R.; Ranieri, A.; Selvaggi, G.; Sharma, A.; Silvestris, L.; Venditti, R.; Verwilligen, P.; Abbiendi, G.; Battilana, C.; Bonacorsi, D.; Braibant-Giacomelli, S.; Campanini, R.; Capiluppi, P.; Castro, A.; Cavallo, F. R.; Chhibra, S. S.; Codispoti, G.; Cuffiani, M.; Dallavalle, G. M.; Fabbri, F.; Fanfani, A.; Fasanella, D.; Giacomelli, P.; Grandi, C.; Guiducci, L.; Marcellini, S.; Masetti, G.; Montanari, A.; Navarria, F. L.; Perrotta, A.; Rossi, A. M.; Rovelli, T.; Siroli, G. P.; Tosi, N.; Albergo, S.; Costa, S.; Di Mattia, A.; Giordano, F.; Potenza, R.; Tricomi, A.; Tuve, C.; Barbagli, G.; Chatterjee, K.; Ciulli, V.; Civinini, C.; D'Alessandro, R.; Focardi, E.; Lenzi, P.; Meschini, M.; Paoletti, S.; Russo, L.; Sguazzoni, G.; Strom, D.; Viliani, L.; Benussi, L.; Bianco, S.; Fabbri, F.; Piccolo, D.; Primavera, F.; Calvelli, V.; Ferro, F.; Robutti, E.; Tosi, S.; Benaglia, A.; Brianza, L.; Brivio, F.; Ciriolo, V.; Dinardo, M. E.; Fiorendi, S.; Gennai, S.; Ghezzi, A.; Govoni, P.; Malberti, M.; Malvezzi, S.; Manzoni, R. A.; Menasce, D.; Moroni, L.; Paganoni, M.; Pauwels, K.; Pedrini, D.; Pigazzini, S.; Ragazzi, S.; Redaelli, N.; Tabarelli de Fatis, T.; Buontempo, S.; Cavallo, N.; Di Guida, S.; Fabozzi, F.; Fienga, F.; Iorio, A. O. M.; Khan, W. A.; Lista, L.; Meola, S.; Paolucci, P.; Sciacca, C.; Thyssen, F.; Azzi, P.; Bacchetta, N.; Benato, L.; Bisello, D.; Boletti, A.; Carlin, R.; Carvalho Antunes De Oliveira, A.; Checchia, P.; De Castro Manzano, P.; Dorigo, T.; Dosselli, U.; Gasparini, F.; Gasparini, U.; Gozzelino, A.; Lacaprara, S.; Margoni, M.; Meneguzzo, A. T.; Pozzobon, N.; Ronchese, P.; Rossin, R.; Simonetto, F.; Torassa, E.; Zanetti, M.; Zotto, P.; Zumerle, G.; Braghieri, A.; Magnani, A.; Montagna, P.; Ratti, S. P.; Re, V.; Ressegotti, M.; Riccardi, C.; Salvini, P.; Vai, I.; Vitulo, P.; Alunni Solestizi, L.; Biasini, M.; Bilei, G. M.; Cecchi, C.; Ciangottini, D.; Fanò, L.; Lariccia, P.;
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https://www.wikiwand.com/en/Simone_(given_name)
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Simone (given name)
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Simone is a given name that may be used as a masculine or feminine name, depending on the language.
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Wikiwand
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https://www.wikiwand.com/en/Simone_(given_name)
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Simone is a given name that may be used as a masculine or feminine name, depending on the language.
Originating from the Greek translation of the Hebrew name Shimon, it became popular due to the Christianization of Europe and Biblical figures such as Simeon (son of Jacob) and Simeon (Gospel of Luke).[1] In Italian, Simone is a masculine name or patronymic surname, pronounced with three syllables, whilst the feminine form Simona is widespread throughout Europe.[2][3] In French and English Simone is a feminine name, pronounced with two syllables, whilst its masculine form in both languages is Simon/Simeon. Additionally, Simone, as a feminine name, may be spelled Simonne.[4][5]
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https://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-8-3
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SIMPLE: implementation of recommendations from international evidence-based guidelines on caesarean sections in the Netherlands. Protocol for a controlled before and after study
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https://media.springernature.com/full/springer-static/cover-hires/journal/13012
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https://media.springernature.com/full/springer-static/cover-hires/journal/13012
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[
"Ellen NC",
"de Boer",
"Mallory D",
"Ben Willem J",
"Johannes PR",
"Anjoke JM",
"Martina M",
"Friso MC",
"Simone MI",
"Van Dooren"
] |
2013-01-03T00:00:00
|
Caesarean section (CS) rates are rising worldwide. In the Netherlands, the most significant rise is observed in healthy women with a singleton in vertex position between 37 and 42 weeks gestation, whereas it is doubtful whether an improved outcome for the mother or her child was obtained. It can be hypothesized that evidence-based guidelines on CS are not implemented sufficiently. Therefore, the present study has the following objectives: to develop quality indicators on the decision to perform a CS based on key recommendations from national and international guidelines; to use the quality indicators in order to gain insight into actual adherence of Dutch gynaecologists to guideline recommendations on the performance of a CS; to explore barriers and facilitators that have a direct effect on guideline application regarding CS; and to develop, execute, and evaluate a strategy in order to reduce the CS incidence for a similar neonatal outcome (based on the information gathered in the second and third objectives). An independent expert panel of Dutch gynaecologists and midwives will develop a set of quality indicators on the decision to perform a CS. These indicators will be used to measure current care in 20 hospitals with a population of 1,000 women who delivered by CS, and a random selection of 1,000 women who delivered vaginally in the same period. Furthermore, by interviewing healthcare professionals and patients, the barriers and facilitators that may influence the decision to perform a CS will be measured. Based on the results, a tailor-made implementation strategy will be developed and tested in a controlled before-and-after study in 12 hospitals (six intervention, six control hospitals) with regard to effectiveness, experiences, and costs. This study will offer insight into the current CS care and into the hindering and facilitating factors influencing obstetrical policy on CS. Furthermore, it will allow definition of patient categories or situations in which a tailor-made implementation strategy will most likely be meaningful and cost effective, without negatively affecting the outcome for mother and child. http://www.clinicaltrials.gov : NCT01261676
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en
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/static/img/favicons/bmc/apple-touch-icon-582ef1d0f5.png
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BioMed Central
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https://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-8-3
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The four aims were approached in four parts: the development of quality indicators, the assessment of current care, the identification of barriers and facilitators, and the development of a tailored implementation strategy and executing and evaluating this strategy in a clustered controlled before-and-after study (CBA).
The development of quality indicators
Design and methods
In order to measure current Dutch practice on CS, quality indicators regarding the process, structure, and outcome of care need to be developed. This will be achieved according to the RAND-modified Delphi method [17, 18]. The indicators will be based on key recommendations extracted from the guidelines of several international obstetric organisations (RCOG, NVOG, SOGC, ACOG and NGC). These key recommendations will be evaluated in two rounds by an independent expert panel consisting of Dutch obstetricians and midwives. In the first round, a questionnaire will be developed on three subjects (planned CS, emergency CS, and methods to reduce the CS rate). The questionnaire will be sent to the experts who will be asked to individually rate the key recommendations on a 9-point Likert scale ranging from 1 to 9 (‘not relevant’ to ‘extremely relevant’ for measuring the quality of CS care). Furthermore, a ranking of the key recommendations will be asked per subject to ultimately extract those indicators considered to be most important for quality-of-care measurement. The experts also have the opportunity to add comments or suggest additional recommendations they consider suitable as a quality indicator. The returned questionnaires will be analysed based on the ratings of the recommendations on the 9-point Likert scale, and the median score of these items will be calculated and rated as described previously by Campbell [19]. Furthermore, scoring variables reflecting the ranking of the items in each of the three subjects will be developed (e.g., in a top 3 ranking, a first ranking creates 3 points, a second ranking 2 points, and a third ranking 1 point).
The second round consists of a consensus meeting where the experts will receive their individual as well as the overall results of the first round to promote discussion. The aim of this meeting is to reach consensus on those recommendations that are most suitable for assessing the quality of care on performing CS. After consensus is reached, the recommendations will be operationalized into a set of measurable quality indicators.
Study population and setting
A representative, national expert panel consisting of obstetricians and midwives (about 12 to 15 experts) will be invited. The obstetricians and midwives will have worked at various types of hospitals, ranging from small regional hospitals to university hospitals.
Outcome measures
The outcome of the first step of the study is a set of valid quality indicators regarding the decision to perform a CS which can then be used to measure the current practice.
The assessment of current care
Design and methods
A retrospective medical record search based on the set of quality indicators will be performed in order to assess the Dutch gynaecologists’ adherence to the CS guideline recommendations. Adherence to these indicators will be quantified, as well as the variation in care and adherence between the participating hospitals. To gain insight into the current Dutch care compared to international care, the CS percentages of the different risk groups will be calculated according to the Robson classification (Table 1) [20]. Furthermore, the maternal mortality or severe acute morbidity (Table 2) [21], and perinatal mortality or serious morbidity (pH <7.00, Apgar 5 min <7, and NICU admission) will be noted. This study will provide us with information about current practice on CS in the Netherlands and insight into the effects on outcome of mother and child.
Study population and setting
In order to create a representative view of the current obstetrical care in The Netherlands, a multi-centre study will be carried out. Twenty hospitals of different Dutch regions will participate in this study, including university teaching hospitals, non-university teaching hospitals and non-university, non-teaching hospitals. The present study will take place in the setting of a Dutch Obstetric Research Consortium in which all the participating hospitals collaborate.
In the participating hospitals, data on basic obstetrical care and adherence to the quality indicators will be collected. Per hospital 100 women will be selected from the local database: 50 women who delivered by CS and a random set of 50 women who delivered vaginally in the same time period. Exclusion criteria will be a major fetal congenital malformality and fetal death prior to onset of delivery.
Outcome measures
The main outcome is adherence to the guideline recommendations, based on the adherence to the quality indicators. Therefore, basic obstetrical data and indicator specific data will be gathered. For example, consider the indicator ‘every woman with a child in breech presentation at 34 to 36 weeks gestation should be offered external cephalic version unless a contraindication for external cephalic version is present.’ This implies that we need to assess the incidence of breech presentation at 34 to 36 weeks gestation, as well as data that show whether an external cephalic version is being offered. Furthermore, we will note in which cases this procedure was not offered for a valid reason. This will allow us to determine the frequencies of adherence for this indicator.
The secondary outcomes are the number of preventable CS, and Dutch practice as compared to international data using the Robson criteria.
Sample size considerations
Assuming an adherence to the guidelines of 75%, an alpha of 0.05, and a precision of the estimation of 5%, 300 patients must be included. However, this number has to be adapted to take clustering of data across clinicians and within obstetrical departments into account. Assuming an intra-cluster correlation (ICC) of 0.2 and 80 professionals in 20 hospitals, 960 medical records need to be analysed. In order to compensate for loss to follow-up or incomplete data, 1,000 women with a CS will be included in 20 hospitals within a timescale of three to four months. In order to enable the calculation of specific events, as described in ‘outcome measures,’ a random selection of 1,000 women with a vaginal birth will be included. Thus, there will be 2,000 participants, i.e., 1,000 women after a caesarean delivery and 1,000 women after a vaginal birth. Sampling fraction will be adjusted to the fraction of women with CS in each individual hospital.
Data analysis
The frequencies of adherence per quality indicator will be calculated. This will be calculated by dividing the total number of women who apply for an indicator and for whom care was appropriate by the total number of women who apply for an indicator. For example, women with a child in breech presentation between 34 to 36 weeks of gestation, without contraindication for external cephalic version, should have been offered an external cephalic version. Adherence is the total number of women with a child in breech presentation between 34 to 36 weeks of gestation without contraindication for external cephalic version, in whom an external version was offered, divided by the total number of women with a child in breech presentation between 34 to 36 weeks of gestation without contraindication for external cephalic version.
Barrier and facilitator study
Design and methods
To determine the barriers and facilitators that influence the decision to perform a CS for healthcare professionals and patients, a qualitative study will be performed. The setting for guideline implementation will be analysed. Focus group interviews will be held among healthcare professionals (obstetricians, residents, and midwives) to discover factors that determine the decision to perform a CS or not. The interviewer will explore the following categories of influencing factors: features of the guidelines itself; features of the target group of professionals who should use the guidelines; features of patients who have to accept or contribute to the use of the guidelines; features of the social setting and social network of the professionals; and features of the organizational, economic, and administrative context. Remarks by professionals will be classified into categories of potential determining factors following this theoretical framework. The ‘prevalence’ of the features mentioned in the focus group interviews will be quantified in a survey with questionnaires among the different professionals.
Similarly, depending on the outcome of the current care study, semi-structured interviews will be held with patients in a detailed study to discover relevant factors that influence the patients’ decision to choose a CS or vaginal delivery.
Study population and setting
In different hospital types (university, non-university teaching, and non-university non-teaching hospitals) interviews will be held among healthcare professionals (obstetricians, residents and midwives) as well as patients. Focus group interviews among 8 to 12 healthcare professionals will be planned. To assess whether the factors mentioned in the focus group interviews are structural, the ’prevalence’ of these factors will be assessed using a survey with questionnaires among obstetric gynaecologists, residents, and midwives in the Netherlands. The questionnaires will be sent to the professionals via email addresses we will obtain from the national professional organisations of both professions. Among patients, semi-structured interviews will be held. These patients will be selected in the abovementioned hospitals from the current care study. The interviews will be conducted with those women belonging to the non-adherence subgroups (such as breech, non-progressing labour, or maternal request) to whom a possible implementation should be directed. Approximately ten to fifteen women will be interviewed until no new information emerges during the interviews.
Outcome measures
The main outcome measures are the barriers and facilitators for adherence to the quality indicators for performing a CS.
Data analysis
Using Atlas, the qualitative software package, a qualitative analysis will be performed on the barriers and facilitators that are presented in the interviews among healthcare professionals and patients. The transcribed interview will be marked and coded with barriers and facilitators according to the framework used to structure the interviews: features of the guidelines, professionals, patients, social setting, and organization. These influencing factors will be quantified among all Dutch gynaecologists and midwives by means of questionnaires. The analyses of the questionnaires will be descriptive (e.g., frequencies and means).
Controlled before-and-after study
Design and methods
Based on the results of the current care study and the barrier and facilitator study, one or more target groups for a tailor-made implementation strategy will be identified. Target groups will be selected with focus on women with both a high incidence of the indicator (our hypothesis is that this will include, for example, non-progressing labour and previous CS) and low indicator adherence. A tailor-made implementation strategy will be developed in order to increase adherence to the CS quality indicators. This strategy will be executed and evaluated in a clustered CBA study in 12 hospitals (six intervention, six control hospitals) (see sample size calculation) in terms of effectiveness, experiences, and costs. It is likely that a strategy with different implementation elements is needed because several barriers for implementation of recommendations may exist at different levels. This will probably result in a combined intervention directed at the level of professionals, patients, and the organisation.
Study population and setting
The implementation strategy will be executed and evaluated in 12 hospitals (see sample size calculation) that also participated in the current care study: six intervention hospitals in which the newly developed strategy will be applied; and six control hospitals in which care as usual will be offered. In order to select these 12 hospitals, all 20 hospitals of the current care study will be categorized into university, non-university teaching, and non-university non-teaching hospitals (three categories). Within these three categories, possible hospital pairs will be made based on pre-intervention adherence to quality indicators and CS rates, as measured in the current care study. To get a sample representative for the Dutch setting, in total two university hospitals, six non-university teaching hospitals and four non-university, non-teaching hospitals will be asked to participate. Subsequently, the participating hospitals have to be assigned to the intervention and control group. This will be done per stratum and based on geographic region. The evaluation will include an effect, process, and cost analysis. Just as in de current care study, the effects will be measured both at medical outcome level (i.e., CS rates and complication rates) and on guideline adherence level. Satisfaction with and applicability of the tailor-made implementation strategy for both patients and healthcare professionals will be measured in a process evaluation. Information regarding the process will be gathered in a qualitative study in the hospitals in which the implementation strategy was applied. Individual interviews will take place among the involved healthcare professionals and patients to gather data about experiences with the changed care. During the interview, they also will be asked about which elements of the tested strategy they specifically used to implement the evidence-based guidelines; how satisfied they are with the different elements; and their opinion about the feasibility of the different elements.
Furthermore, a cost analyses of the tested implementation strategy will take place with respect to three aspects: 1) the rate at which the guideline recommendations are already applied; 2) the costs of the implementation strategy (taking into account the development of the strategy, training of healthcare professionals, and possible extra costs regarding both time and medical costs) and 3) the effectiveness of the implementation strategy. In order to measure the effectiveness of the implementation strategy both the effects on medical outcome (i.e., CS rates, complication rates) and adherence to CS quality indicators will be measured. The cost-effectiveness of the implementation strategy will be expressed as the incremental costs per extra patient treated according to the CS quality indicators, compared to the ‘do-nothing’ strategy.
Outcome measures
The primary outcome is effectiveness of the implementation strategy, which is defined as the observed increase in adherence to the developed quality indicators with regard to the chosen target group (for example non-progressing labour or previous CS) between the intervention and control hospitals and the actual CS rates in both groups. Secondary outcome measures are experiences and satisfaction of healthcare providers and patients with the implementation strategy as well as applicability and costs.
Sample size considerations
For a sample size calculation, the target group and the adherence to the quality indicators regarding this target group are necessary. These data will be available after performing the current care as well as the barrier study. Based on these data, the sample size can be calculated. In this calculation, we will take into account clustering of patients within professionals and hospitals. We expect most of the clustering at professional level and presume an inclusion of a number of professionals per hospital and a number of patients per professional. For pragmatic reasons, we will include at most 12 out of the 20 hospitals of the current care measurement. This sample of hospitals has to be representative for the Dutch setting, i.e., a total of two university hospitals, six non-university teaching hospitals, and four non-university, non-teaching hospitals.
Data analysis
To assess the effectiveness of the implementation strategy, the proportion of patients that are treated in accordance with the guidelines before and after implementation of the guidelines in both the intervention and control hospitals will be measured. Medical outcome measures will include CS rates and maternal as well as neonatal complications related to vaginal delivery or CS. Multilevel multivariate analysis will be carried out to assess the independent effect of the implementation strategy on adherence to the CS quality indicators and medical outcome measures. A qualitative descriptive analysis will be done in order to evaluate the process. Furthermore, by means of a questionnaire, the experiences of healthcare providers and patient satisfaction with the implementation strategy will be evaluated, and the outcomes will be descriptive.
The costs analysis will be performed from a healthcare perspective. The costs of the implementation process will be calculated on the basis of the time and materials invested based on activity-based costing (ABC) approach, focusing on activities performed with costs accumulated at the activity level(s) of the healthcare implementation processes. The costs of implementation of the guidelines and consolidation consist of personnel and material costs. The input of resources will be assessed by collecting volumes of consumed resources, and multiplying these by the price of each resource unit. For collecting information on the input of the resources, registration forms will be completed by the people involved in the implementation and consolidation process. The prices of each resource unit will be based on standard costs [22], market prices, or self-determined costs. The medical costs used in de cost analysis will include CS rates and maternal and neonatal complications related to vaginal delivery or CS. The costs of implementation and costs of the changed medical care will be weighed against the proportion of patients that are treated according to the CS guideline, after implementation. The cost-effectiveness of implementation will be expressed as the incremental costs per extra patient treated according to the CS guideline, compared to the ‘do-nothing’ strategy (i.e., no implementation, for which data before implementation will be used).
Ethical considerations
The Medical Ethical Committee (CMO) of Maastricht (azM/UM) approved this study protocol and declared that no ethical approval was necessary (MEC 09-4-047).
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Congratulations to our fall 2023 Warriors on their academic achievements!
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College of Liberal Arts and Sciences
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https://clas.wayne.edu/news/deans-list-for-fall-2023-semester-61423
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The Dean's List recognizes undergraduates in the College of Liberal Arts and Sciences who, in a given semester, either earn a GPA of 3.60 or above and at least 12 credits or earn a GPA of 4.0 and between 6 and 11 credits.
Congratulations to our fall Warriors 🔰 on their academic achievements!
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James Kennedy (historian)
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https://en.wikipedia.org/wiki/James_Kennedy_(historian)
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American historian (born 1963)
James Carleton Kennedy (born 1963 in Orange City, Iowa) is an American historian. He is the son of E.W. (Bill) and Nella Kennedy. The elder Dr. Kennedy was for years an eminent professor of religion at Northwestern College.
Kennedy was born and grew up in Orange City, Iowa, a Reformed village with a large portion of the population having roots in Netherlands. His mother is a Dutch-born immigrant.
He studied foreign service at Georgetown University, obtaining his B.S. in 1986, Christian studies at Calvin Theological Seminary in Grand Rapids, Michigan, obtaining his M.A. in 1988, and took his PhD in history from the University of Iowa in 1995.
He performed several jobs in the field of history before becoming an assistant professor of European history and research fellow at the A. C. Van Raalte Institute, Hope College in Holland, Michigan in 1997.
In 2003, Kennedy moved to the Netherlands because he was appointed a professor of modern history (20th century) at the Vrije Universiteit Amsterdam. In 2007 he changed to the University of Amsterdam, where he became a professor of the history of the Netherlands. In 2009 he succeeded professor Piet de Rooy, head of the section of the history of the Netherlands. Between October 1, 2015, and December 2020, Kennedy was Dean of University College Utrecht.
Kennedy takes a special interest in post-war Dutch history. Because of his Christian belief he considers himself a Christian historian although he is reserved to point out how God is guiding human history.
Politically, he characterizes himself as an independent. However, in the presidential campaign of 2004 he was in favor of John Kerry, the presidential candidate of the Democrats.
James Kennedy is married to Simone Kennedy-Doornbos, a Dutch politician for the ChristianUnion, who has been serving as a Senator since 2023. They have three children. The Kennedy family is a member of the Reformed Churches in the Netherlands (Liberated), an orthodox reformed denomination.
Building new Babylon: cultural change in the Netherlands during the 1960s (1995, dissertation), translated in Dutch as Nieuw Babylon in aanbouw: Nederland in de jaren zestig, Amsterdam, Boom, 1995)
History of the Low Countries (New York, Berghahn Books, 1999), adapted translation from the Geschiedenis van de Nederlanden, Hans Blom and Emiel Lamberts, 1993)
Een weloverwogen dood. De opkomst van de euthanasie in Nederland (Amsterdam, Bakker, 2002) - about the development of euthanasia in the Netherlands
Bezielende verbanden. Gedachten over religie, politiek en maatschappij in het moderne Nederland (Amsterdam, Bakker, 2009)
Stad op een berg. De publieke rol van protestantse kerken (Zoetermeer, Boekencentrum Uitgevers, 2010)
A Concise History of the Netherlands (Cambridge, Cambridge University Press, 2017)
Aan Het Werk (Amsterdam, Prometheus, 2021)
Equivalent article on the Dutch Wikipedia
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Volume 12, 2020
Volume 12, 2020
Statistical downscaling of water vapour satellite measurements from profiles of tropical ice clouds
Giulia Carella, Mathieu Vrac, Hélène Brogniez, Pascal Yiou, and Hélène Chepfer
Earth Syst. Sci. Data, 12, 1–20, https://doi.org/10.5194/essd-12-1-2020,https://doi.org/10.5194/essd-12-1-2020, 2020
Short summary
Short summary
Observations of relative humidity for ice clouds over the tropical oceans from a passive microwave sounder are downscaled by incorporating the high-resolution variability derived from simultaneous co-located cloud profiles from a lidar. By providing a method to generate pseudo-observations of relative humidity at high spatial resolution, this work will help revisit some of the current key barriers in atmospheric science.
An open-source database for the synthesis of soil radiocarbon data: International Soil Radiocarbon Database (ISRaD) version 1.0
Corey R. Lawrence, Jeffrey Beem-Miller, Alison M. Hoyt, Grey Monroe, Carlos A. Sierra, Shane Stoner, Katherine Heckman, Joseph C. Blankinship, Susan E. Crow, Gavin McNicol, Susan Trumbore, Paul A. Levine, Olga VinduÅ¡ková, Katherine Todd-Brown, Craig Rasmussen, Caitlin E. Hicks Pries, Christina Schädel, Karis McFarlane, Sebastian Doetterl, Christine Hatté, Yujie He, Claire Treat, Jennifer W. Harden, Margaret S. Torn, Cristian Estop-Aragonés, Asmeret Asefaw Berhe, Marco Keiluweit, Ãgatha Della Rosa Kuhnen, Erika Marin-Spiotta, Alain F. Plante, Aaron Thompson, Zheng Shi, Joshua P. Schimel, Lydia J. S. Vaughn, Sophie F. von Fromm, and Rota Wagai
Earth Syst. Sci. Data, 12, 61–76, https://doi.org/10.5194/essd-12-61-2020,https://doi.org/10.5194/essd-12-61-2020, 2020
Short summary
Short summary
The International Soil Radiocarbon Database (ISRaD) is an an open-source archive of soil data focused on datasets including radiocarbon measurements. ISRaD includes data from bulk or whole soils, distinct soil carbon pools isolated in the laboratory by a variety of soil fractionation methods, samples of soil gas or water collected interstitially from within an intact soil profile, CO2 gas isolated from laboratory soil incubations, and fluxes collected in situ from a soil surface.
The European Radiological Data Exchange Platform (EURDEP): 25 years of monitoring data exchange
Marco Sangiorgi, Miguel Angel Hernández-Ceballos, Kevin Jackson, Giorgia Cinelli, Konstantins Bogucarskis, Luca De Felice, Andrei Patrascu, and Marc De Cort
Earth Syst. Sci. Data, 12, 109–118, https://doi.org/10.5194/essd-12-109-2020,https://doi.org/10.5194/essd-12-109-2020, 2020
Short summary
Short summary
After the Chernobyl accident in 1986 the European Commission has invested resources for developing and improving a complete system called the European Radiological Data Exchange Platform (EURDEP) to exchange real-time monitoring data to competent authorities and the public. We provide two complete datasets (air-concentration samples and gamma dose rates) for the recent radiological release of 106Ru in Europe, which occurred between the end of September and early October 2017.
Green Edge ice camp campaigns: understanding the processes controlling the under-ice Arctic phytoplankton spring bloom
Philippe Massicotte, Rémi Amiraux, Marie-Pier Amyot, Philippe Archambault, Mathieu Ardyna, Laurent Arnaud, Lise Artigue, Cyril Aubry, Pierre Ayotte, Guislain Bécu, Simon Bélanger, Ronald Benner, Henry C. Bittig, Annick Bricaud, Ãric Brossier, Flavienne Bruyant, Laurent Chauvaud, Debra Christiansen-Stowe, Hervé Claustre, Véronique Cornet-Barthaux, Pierre Coupel, Christine Cox, Aurelie Delaforge, Thibaud Dezutter, Céline Dimier, Florent Domine, Francis Dufour, Christiane Dufresne, Dany Dumont, Jens Ehn, Brent Else, Joannie Ferland, Marie-Hélène Forget, Louis Fortier, Martà GalÃ, Virginie Galindo, Morgane Gallinari, Nicole Garcia, Catherine Gérikas Ribeiro, Margaux Gourdal, Priscilla Gourvil, Clemence Goyens, Pierre-Luc Grondin, Pascal Guillot, Caroline Guilmette, Marie-Noëlle Houssais, Fabien Joux, Léo Lacour, Thomas Lacour, Augustin Lafond, José Lagunas, Catherine Lalande, Julien Laliberté, Simon Lambert-Girard, Jade Larivière, Johann Lavaud, Anita LeBaron, Karine Leblanc, Florence Le Gall, Justine Legras, Mélanie Lemire, Maurice Levasseur, Edouard Leymarie, Aude Leynaert, Adriana Lopes dos Santos, Antonio Lourenço, David Mah, Claudie Marec, Dominique Marie, Nicolas Martin, Constance Marty, Sabine Marty, Guillaume Massé, Atsushi Matsuoka, Lisa Matthes, Brivaela Moriceau, Pierre-Emmanuel Muller, Christopher-John Mundy, Griet Neukermans, Laurent Oziel, Christos Panagiotopoulos, Jean-Jacques Pangrazi, Ghislain Picard, Marc Picheral, France Pinczon du Sel, Nicole Pogorzelec, Ian Probert, Bernard Quéguiner, Patrick Raimbault, Joséphine Ras, Eric Rehm, Erin Reimer, Jean-François Rontani, Søren Rysgaard, Blanche Saint-Béat, Makoto Sampei, Julie Sansoulet, Catherine Schmechtig, Sabine Schmidt, Richard Sempéré, Caroline Sévigny, Yuan Shen, Margot Tragin, Jean-Ãric Tremblay, Daniel Vaulot, Gauthier Verin, Frédéric Vivier, Anda Vladoiu, Jeremy Whitehead, and Marcel Babin
Earth Syst. Sci. Data, 12, 151–176, https://doi.org/10.5194/essd-12-151-2020,https://doi.org/10.5194/essd-12-151-2020, 2020
Short summary
Short summary
The Green Edge initiative was developed to understand the processes controlling the primary productivity and the fate of organic matter produced during the Arctic spring bloom (PSB). In this article, we present an overview of an extensive and comprehensive dataset acquired during two expeditions conducted in 2015 and 2016 on landfast ice southeast of Qikiqtarjuaq Island in Baffin Bay.
TephraKam: geochemical database of glass compositions in tephra and welded tuffs from the Kamchatka volcanic arc (northwestern Pacific)
Maxim V. Portnyagin, Vera V. Ponomareva, Egor A. Zelenin, Lilia I. Bazanova, Maria M. Pevzner, Anastasia A. Plechova, Aleksei N. Rogozin, and Dieter Garbe-Schönberg
Earth Syst. Sci. Data, 12, 469–486, https://doi.org/10.5194/essd-12-469-2020,https://doi.org/10.5194/essd-12-469-2020, 2020
Short summary
Short summary
Tephra is fragmented material produced by explosive volcanic eruptions. Geochemically characterized tephra layers are excellent time marker horizons and samples of magma composition. TephraKam is database of the ages and chemical composition of volcanic glass in tephra from the Kamchatka volcanic arc (northwestern Pacific). TephraKam enables the identification of tephra sources, correlation and dating of natural archives, and reconstruction of spatiotemporal evolution of volcanism in Kamchatka.
Marine carbonyl sulfide (OCS) and carbon disulfide (CS2): a compilation of measurements in seawater and the marine boundary layer
Sinikka T. Lennartz, Christa A. Marandino, Marc von Hobe, Meinrat O. Andreae, Kazushi Aranami, Elliot Atlas, Max Berkelhammer, Heinz Bingemer, Dennis Booge, Gregory Cutter, Pau Cortes, Stefanie Kremser, Cliff S. Law, Andrew Marriner, Rafel Simó, Birgit Quack, Günther Uher, Huixiang Xie, and Xiaobin Xu
Earth Syst. Sci. Data, 12, 591–609, https://doi.org/10.5194/essd-12-591-2020,https://doi.org/10.5194/essd-12-591-2020, 2020
Short summary
Short summary
Sulfur-containing trace gases in the atmosphere influence atmospheric chemistry and the energy budget of the Earth by forming aerosols. The ocean is an important source of the most abundant sulfur gas in the atmosphere, carbonyl sulfide (OCS) and its most important precursor carbon disulfide (CS2). In order to assess global variability of the sea surface concentrations of both gases to calculate their oceanic emissions, we have compiled a database of existing shipborne measurements.
Replacing missing values in the standard Multi-angle Imaging SpectroRadiometer (MISR) radiometric camera-by-camera cloud mask (RCCM) data product
Michel M. Verstraete, Linda A. Hunt, Hugo De Lemos, and Larry Di Girolamo
Earth Syst. Sci. Data, 12, 611–628, https://doi.org/10.5194/essd-12-611-2020,https://doi.org/10.5194/essd-12-611-2020, 2020
Short summary
Short summary
The radiometric camera-by-camera cloud mask product, available for each of the nine cameras of the MISR instrument, contains a variable number of missing values, especially wherever and whenever the instrument is switched from the Global to Local Mode of operation. This paper proposes a simple method for effectively replacing those missing values and demonstrates the performance of the process. MISR data and software tools are obtainable from public domain websites to explore this issue further.
Meteorological drought lacunarity around the world and its classification
Robert Monjo, Dominic Royé, and Javier Martin-Vide
Earth Syst. Sci. Data, 12, 741–752, https://doi.org/10.5194/essd-12-741-2020,https://doi.org/10.5194/essd-12-741-2020, 2020
Integrating palaeoclimate time series with rich metadata for uncertainty modelling: strategy and documentation of the PalMod 130k marine palaeoclimate data synthesis
Lukas Jonkers, Olivier Cartapanis, Michael Langner, Nick McKay, Stefan Mulitza, Anne Strack, and Michal Kucera
Earth Syst. Sci. Data, 12, 1053–1081, https://doi.org/10.5194/essd-12-1053-2020,https://doi.org/10.5194/essd-12-1053-2020, 2020
Data for wetlandscapes and their changes around the world
Navid Ghajarnia, Georgia Destouni, Josefin Thorslund, Zahra Kalantari, Imenne à hlén, Jesús A. Anaya-Acevedo, Juan F. Blanco-Libreros, Sonia Borja, Sergey Chalov, Aleksandra Chalova, Kwok P. Chun, Nicola Clerici, Amanda Desormeaux, Bethany B. Garfield, Pierre Girard, Olga Gorelits, Amy Hansen, Fernando Jaramillo, Jerker Jarsjö, Adnane Labbaci, John Livsey, Giorgos Maneas, Kathryn McCurley Pisarello, Sebastián Palomino-Ãngel, Jan PietroÅ, René M. Price, Victor H. Rivera-Monroy, Jorge Salgado, A. Britta K. Sannel, Samaneh Seifollahi-Aghmiuni, Ylva Sjöberg, Pavel Terskii, Guillaume Vigouroux, Lucia Licero-Villanueva, and David Zamora
Earth Syst. Sci. Data, 12, 1083–1100, https://doi.org/10.5194/essd-12-1083-2020,https://doi.org/10.5194/essd-12-1083-2020, 2020
Short summary
Short summary
Hydroclimate and land-use conditions determine the dynamics of wetlands and their ecosystem services. However, knowledge and data for conditions and changes over entire wetlandscapes are scarce. This paper presents a novel database for 27 wetlandscapes around the world, combining survey-based local information and hydroclimatic and land-use datasets. The developed database can enhance our capacity to understand and manage critical wetland ecosystems and their services under global change.
A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications
Kimberly A. Casey, Cecile S. Rousseaux, Watson W. Gregg, Emmanuel Boss, Alison P. Chase, Susanne E. Craig, Colleen B. Mouw, Rick A. Reynolds, Dariusz Stramski, Steven G. Ackleson, Annick Bricaud, Blake Schaeffer, Marlon R. Lewis, and Stéphane Maritorena
Earth Syst. Sci. Data, 12, 1123–1139, https://doi.org/10.5194/essd-12-1123-2020,https://doi.org/10.5194/essd-12-1123-2020, 2020
Short summary
Short summary
An increase in spectral resolution in forthcoming remote-sensing missions will improve our ability to understand and characterize aquatic ecosystems. We organize and provide a global compilation of high spectral resolution inherent and apparent optical property data from polar, midlatitude, and equatorial open-ocean, estuary, coastal, and inland waters. The data are intended to aid in development of remote-sensing data product algorithms and to perform calibration and validation activities.
Global database of ratios of particulate organic carbon to thorium-234 in the ocean: improving estimates of the biological carbon pump
Viena Puigcorbé, Pere Masqué, and Frédéric A. C. Le Moigne
Earth Syst. Sci. Data, 12, 1267–1285, https://doi.org/10.5194/essd-12-1267-2020,https://doi.org/10.5194/essd-12-1267-2020, 2020
Short summary
Short summary
The biological carbon pump is a mechanism by which the oceans capture atmospheric carbon dioxide thanks to microscopic marine algae. Quantifying its strength and efficiency is crucial to understand the global carbon budget and be able to forecast its trends. The radioactive pair 234Th : 238U has been extensively used for that purpose. This is a global compilation of carbon-to-234Th ratios (needed to convert the 234Th fluxes to carbon fluxes) that will contribute to improve our modeling efforts.
The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests
Christopher P. O. Reyer, Ramiro Silveyra Gonzalez, Klara Dolos, Florian Hartig, Ylva Hauf, Matthias Noack, Petra Lasch-Born, Thomas Rötzer, Hans Pretzsch, Henning Meesenburg, Stefan Fleck, Markus Wagner, Andreas Bolte, Tanja G. M. Sanders, Pasi Kolari, Annikki Mäkelä, Timo Vesala, Ivan Mammarella, Jukka Pumpanen, Alessio Collalti, Carlo Trotta, Giorgio Matteucci, Ettore D'Andrea, Lenka Foltýnová, Jan Krejza, Andreas Ibrom, Kim Pilegaard, Denis Loustau, Jean-Marc Bonnefond, Paul Berbigier, Delphine Picart, Sébastien Lafont, Michael Dietze, David Cameron, Massimo Vieno, Hanqin Tian, Alicia Palacios-Orueta, Victor Cicuendez, Laura Recuero, Klaus Wiese, Matthias Büchner, Stefan Lange, Jan Volkholz, Hyungjun Kim, Joanna A. Horemans, Friedrich Bohn, Jörg Steinkamp, Alexander Chikalanov, Graham P. Weedon, Justin Sheffield, Flurin Babst, Iliusi Vega del Valle, Felicitas Suckow, Simon Martel, Mats Mahnken, Martin Gutsch, and Katja Frieler
Earth Syst. Sci. Data, 12, 1295–1320, https://doi.org/10.5194/essd-12-1295-2020,https://doi.org/10.5194/essd-12-1295-2020, 2020
Short summary
Short summary
Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database provides a wide range of empirical data to calibrate and evaluate vegetation models that simulate climate impacts at the forest stand scale to support systematic model intercomparisons and model development in Europe.
Vegetation, ground cover, soil, rainfall simulation, and overland-flow experiments before and after tree removal in woodland-encroached sagebrush steppe: the hydrology component of the Sagebrush Steppe Treatment Evaluation Project (SageSTEP)
C. Jason Williams, Frederick B. Pierson, Patrick R. Kormos, Osama Z. Al-Hamdan, and Justin C. Johnson
Earth Syst. Sci. Data, 12, 1347–1365, https://doi.org/10.5194/essd-12-1347-2020,https://doi.org/10.5194/essd-12-1347-2020, 2020
Short summary
Short summary
Data were collected at three sites over 10 years to evaluate ecologic impacts of tree encroachment on rangelands and assess impacts of tree-removal practices on vegetation, surface conditions, and hydrologic/erosion processes. The dataset includes 1300 rainfall simulation and 838 overland-flow experiments paired with vegetation, surface cover, and soil data across point to hillslope scales. The data advance hydrology/erosion process understanding and are a source for model development/testing.
The Global Methane Budget 2000â2017
Marielle Saunois, Ann R. Stavert, Ben Poulter, Philippe Bousquet, Josep G. Canadell, Robert B. Jackson, Peter A. Raymond, Edward J. Dlugokencky, Sander Houweling, Prabir K. Patra, Philippe Ciais, Vivek K. Arora, David Bastviken, Peter Bergamaschi, Donald R. Blake, Gordon Brailsford, Lori Bruhwiler, Kimberly M. Carlson, Mark Carrol, Simona Castaldi, Naveen Chandra, Cyril Crevoisier, Patrick M. Crill, Kristofer Covey, Charles L. Curry, Giuseppe Etiope, Christian Frankenberg, Nicola Gedney, Michaela I. Hegglin, Lena Höglund-Isaksson, Gustaf Hugelius, Misa Ishizawa, Akihiko Ito, Greet Janssens-Maenhout, Katherine M. Jensen, Fortunat Joos, Thomas Kleinen, Paul B. Krummel, Ray L. Langenfelds, Goulven G. Laruelle, Licheng Liu, Toshinobu Machida, Shamil Maksyutov, Kyle C. McDonald, Joe McNorton, Paul A. Miller, Joe R. Melton, Isamu Morino, Jurek Müller, Fabiola Murguia-Flores, Vaishali Naik, Yosuke Niwa, Sergio Noce, Simon O'Doherty, Robert J. Parker, Changhui Peng, Shushi Peng, Glen P. Peters, Catherine Prigent, Ronald Prinn, Michel Ramonet, Pierre Regnier, William J. Riley, Judith A. Rosentreter, Arjo Segers, Isobel J. Simpson, Hao Shi, Steven J. Smith, L. Paul Steele, Brett F. Thornton, Hanqin Tian, Yasunori Tohjima, Francesco N. Tubiello, Aki Tsuruta, Nicolas Viovy, Apostolos Voulgarakis, Thomas S. Weber, Michiel van Weele, Guido R. van der Werf, Ray F. Weiss, Doug Worthy, Debra Wunch, Yi Yin, Yukio Yoshida, Wenxin Zhang, Zhen Zhang, Yuanhong Zhao, Bo Zheng, Qing Zhu, Qiuan Zhu, and Qianlai Zhuang
Earth Syst. Sci. Data, 12, 1561–1623, https://doi.org/10.5194/essd-12-1561-2020,https://doi.org/10.5194/essd-12-1561-2020, 2020
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Understanding and quantifying the global methane (CH4) budget is important for assessing realistic pathways to mitigate climate change. We have established a consortium of multidisciplinary scientists under the umbrella of the Global Carbon Project to synthesize and stimulate new research aimed at improving and regularly updating the global methane budget. This is the second version of the review dedicated to the decadal methane budget, integrating results of top-down and bottom-up estimates.
This article is included in the Encyclopedia of Geosciences
University of Kentucky measurements of wind, temperature, pressure and humidity in support of LAPSE-RATE using multisite fixed-wing and rotorcraft unmanned aerial systems
Sean C. C. Bailey, Michael P. Sama, Caleb A. Canter, L. Felipe Pampolini, Zachary S. Lippay, Travis J. Schuyler, Jonathan D. Hamilton, Sean B. MacPhee, Isaac S. Rowe, Christopher D. Sanders, Virginia G. Smith, Christina N. Vezzi, Harrison M. Wight, Jesse B. Hoagg, Marcelo I. Guzman, and Suzanne Weaver Smith
Earth Syst. Sci. Data, 12, 1759–1773, https://doi.org/10.5194/essd-12-1759-2020,https://doi.org/10.5194/essd-12-1759-2020, 2020
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This article describes the systems, processes and procedures used by researchers from the University of Kentucky (UK) for the Lower Atmospheric Profiling Studies at Elevation – a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE) in the San Luis Valley in Colorado, USA. Using unmanned aerial systems (UASs) as the primary data-gathering tool, UK supported multipoint, multisystem measurements of drainage flow, boundary layer transition, convection initiation and aerosol concentration.
A cultivated planet in 2010 â Part 1: The global synergy cropland map
Miao Lu, Wenbin Wu, Liangzhi You, Linda See, Steffen Fritz, Qiangyi Yu, Yanbing Wei, Di Chen, Peng Yang, and Bing Xue
Earth Syst. Sci. Data, 12, 1913–1928, https://doi.org/10.5194/essd-12-1913-2020,https://doi.org/10.5194/essd-12-1913-2020, 2020
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Global cropland distribution is critical for agricultural monitoring and food security. We propose a new Self-adapting Statistics Allocation Model (SASAM) to develop the global map of cropland distribution. SASAM is based on the fusion of multiple existing cropland maps and multilevel statistics of cropland area, which is independent of training samples. The synergy map has higher accuracy than the input datasets and better consistency with the cropland statistics.
Heat stored in the Earth system: where does the energy go?
Karina von Schuckmann, Lijing Cheng, Matthew D. Palmer, James Hansen, Caterina Tassone, Valentin Aich, Susheel Adusumilli, Hugo Beltrami, Tim Boyer, Francisco José Cuesta-Valero, Damien Desbruyères, Catia Domingues, Almudena GarcÃa-GarcÃa, Pierre Gentine, John Gilson, Maximilian Gorfer, Leopold Haimberger, Masayoshi Ishii, Gregory C. Johnson, Rachel Killick, Brian A. King, Gottfried Kirchengast, Nicolas Kolodziejczyk, John Lyman, Ben Marzeion, Michael Mayer, Maeva Monier, Didier Paolo Monselesan, Sarah Purkey, Dean Roemmich, Axel Schweiger, Sonia I. Seneviratne, Andrew Shepherd, Donald A. Slater, Andrea K. Steiner, Fiammetta Straneo, Mary-Louise Timmermans, and Susan E. Wijffels
Earth Syst. Sci. Data, 12, 2013–2041, https://doi.org/10.5194/essd-12-2013-2020,https://doi.org/10.5194/essd-12-2013-2020, 2020
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Understanding how much and where the heat is distributed in the Earth system is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This study is a Global Climate Observing System (GCOS) concerted international effort to obtain the Earth heat inventory over the period 1960–2018.
This article is included in the Encyclopedia of Geosciences
CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil
VinÃcius B. P. Chagas, Pedro L. B. Chaffe, Nans Addor, Fernando M. Fan, Ayan S. Fleischmann, Rodrigo C. D. Paiva, and VinÃcius A. Siqueira
Earth Syst. Sci. Data, 12, 2075–2096, https://doi.org/10.5194/essd-12-2075-2020,https://doi.org/10.5194/essd-12-2075-2020, 2020
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We present a new dataset for large-sample hydrological studies in Brazil. The dataset encompasses daily observed streamflow from 3679 gauges, as well as meteorological forcing for 897 selected catchments. It also includes 65 attributes covering topographic, climatic, hydrologic, land cover, geologic, soil, and human intervention variables. CAMELS-BR is publicly available and will enable new insights into the hydrological behavior of catchments in Brazil.
Cloud_cci ATSR-2 and AATSR data set version 3: a 17-year climatology of global cloud and radiation properties
Caroline A. Poulsen, Gregory R. McGarragh, Gareth E. Thomas, Martin Stengel, Matthew W. Christensen, Adam C. Povey, Simon R. Proud, Elisa Carboni, Rainer Hollmann, and Roy G. Grainger
Earth Syst. Sci. Data, 12, 2121–2135, https://doi.org/10.5194/essd-12-2121-2020,https://doi.org/10.5194/essd-12-2121-2020, 2020
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We have created a satellite cloud and radiation climatology from the ATSR-2 and AATSR on board ERS-2 and Envisat, respectively, which spans the period 1995–2012. The data set was created using a combination of optimal estimation and neural net techniques. The data set was created as part of the ESA Climate Change Initiative program. The data set has been compared with active CALIOP lidar measurements and compared with MAC-LWP AND CERES-EBAF measurements and is shown to have good performance.
The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign
Kirk Knobelspiesse, Henrique M. J. Barbosa, Christine Bradley, Carol Bruegge, Brian Cairns, Gao Chen, Jacek Chowdhary, Anthony Cook, Antonio Di Noia, Bastiaan van Diedenhoven, David J. Diner, Richard Ferrare, Guangliang Fu, Meng Gao, Michael Garay, Johnathan Hair, David Harper, Gerard van Harten, Otto Hasekamp, Mark Helmlinger, Chris Hostetler, Olga Kalashnikova, Andrew Kupchock, Karla Longo De Freitas, Hal Maring, J. Vanderlei Martins, Brent McBride, Matthew McGill, Ken Norlin, Anin Puthukkudy, Brian Rheingans, Jeroen Rietjens, Felix C. Seidel, Arlindo da Silva, Martijn Smit, Snorre Stamnes, Qian Tan, Sebastian Val, Andrzej Wasilewski, Feng Xu, Xiaoguang Xu, and John Yorks
Earth Syst. Sci. Data, 12, 2183–2208, https://doi.org/10.5194/essd-12-2183-2020,https://doi.org/10.5194/essd-12-2183-2020, 2020
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The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) field campaign is a resource for the next generation of spaceborne multi-angle polarimeter (MAP) and lidar missions. Conducted in the fall of 2017 from the Armstrong Flight Research Center in Palmdale, California, four MAP instruments and two lidars were flown on the high-altitude ER-2 aircraft over a variety of scene types and ground assets. Data are freely available to the public and useful for algorithm development and testing.
The Iso2k database: a global compilation of paleo-δ18O and δ2H records to aid understanding of Common Era climate
Bronwen L. Konecky, Nicholas P. McKay, Olga V. Churakova (Sidorova), Laia Comas-Bru, Emilie P. Dassié, Kristine L. DeLong, Georgina M. Falster, Matt J. Fischer, Matthew D. Jones, Lukas Jonkers, Darrell S. Kaufman, Guillaume Leduc, Shreyas R. Managave, Belen Martrat, Thomas Opel, Anais J. Orsi, Judson W. Partin, Hussein R. Sayani, Elizabeth K. Thomas, Diane M. Thompson, Jonathan J. Tyler, Nerilie J. Abram, Alyssa R. Atwood, Olivier Cartapanis, Jessica L. Conroy, Mark A. Curran, Sylvia G. Dee, Michael Deininger, Dmitry V. Divine, Zoltán Kern, Trevor J. Porter, Samantha L. Stevenson, Lucien von Gunten, and Iso2k Project Members
Earth Syst. Sci. Data, 12, 2261–2288, https://doi.org/10.5194/essd-12-2261-2020,https://doi.org/10.5194/essd-12-2261-2020, 2020
A dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in Germany
Benjamin Fersch, Till Francke, Maik Heistermann, Martin Schrön, Veronika Döpper, Jannis Jakobi, Gabriele Baroni, Theresa Blume, Heye Bogena, Christian Budach, Tobias Gränzig, Michael Förster, Andreas Güntner, Harrie-Jan Hendricks Franssen, Mandy Kasner, Markus Köhli, Birgit Kleinschmit, Harald Kunstmann, Amol Patil, Daniel Rasche, Lena Scheiffele, Ulrich Schmidt, Sandra Szulc-Seyfried, Jannis Weimar, Steffen Zacharias, Marek Zreda, Bernd Heber, Ralf Kiese, Vladimir Mares, Hannes Mollenhauer, Ingo Völksch, and Sascha Oswald
Earth Syst. Sci. Data, 12, 2289–2309, https://doi.org/10.5194/essd-12-2289-2020,https://doi.org/10.5194/essd-12-2289-2020, 2020
A comprehensive dataset of vegetation states, fluxes of matter and energy, weather, agricultural management, and soil properties from intensively monitored crop sites in western Germany
Tim G. Reichenau, Wolfgang Korres, Marius Schmidt, Alexander Graf, Gerhard Welp, Nele Meyer, Anja Stadler, Cosimo Brogi, and Karl Schneider
Earth Syst. Sci. Data, 12, 2333–2364, https://doi.org/10.5194/essd-12-2333-2020,https://doi.org/10.5194/essd-12-2333-2020, 2020
The Eurasian Modern Pollen Database (EMPD), version 2
Basil A. S. Davis, Manuel Chevalier, Philipp Sommer, Vachel A. Carter, Walter Finsinger, Achille Mauri, Leanne N. Phelps, Marco Zanon, Roman Abegglen, Christine M. à kesson, Francisca Alba-Sánchez, R. Scott Anderson, Tatiana G. Antipina, Juliana R. Atanassova, Ruth Beer, Nina I. Belyanina, Tatiana A. Blyakharchuk, Olga K. Borisova, Elissaveta Bozilova, Galina Bukreeva, M. Jane Bunting, Eleonora Clò, Daniele Colombaroli, Nathalie Combourieu-Nebout, Stéphanie Desprat, Federico Di Rita, Morteza Djamali, Kevin J. Edwards, Patricia L. Fall, Angelica Feurdean, William Fletcher, Assunta Florenzano, Giulia Furlanetto, Emna Gaceur, Arsenii T. Galimov, Mariusz GaÅka, Iria GarcÃa-Moreiras, Thomas Giesecke, Roxana Grindean, Maria A. Guido, Irina G. Gvozdeva, Ulrike Herzschuh, Kari L. Hjelle, Sergey Ivanov, Susanne Jahns, Vlasta Jankovska, Gonzalo Jiménez-Moreno, Monika KarpiÅska-KoÅaczek, Ikuko Kitaba, Piotr KoÅaczek, Elena G. Lapteva, MaÅgorzata LataÅowa, Vincent Lebreton, Suzanne Leroy, Michelle Leydet, Darya A. Lopatina, José Antonio López-Sáez, André F. Lotter, Donatella Magri, Elena Marinova, Isabelle Matthias, Anastasia Mavridou, Anna Maria Mercuri, Jose Manuel Mesa-Fernández, Yuri A. Mikishin, Krystyna Milecka, Carlo Montanari, César Morales-Molino, Almut Mrotzek, Castor Muñoz Sobrino, Olga D. Naidina, Takeshi Nakagawa, Anne Birgitte Nielsen, Elena Y. Novenko, Sampson Panajiotidis, Nata K. Panova, Maria Papadopoulou, Heather S. Pardoe, Anna PÄdziszewska, Tatiana I. Petrenko, MarÃa J. Ramos-Román, Cesare Ravazzi, Manfred Rösch, Natalia Ryabogina, Silvia Sabariego Ruiz, J. Sakari Salonen, Tatyana V. Sapelko, James E. Schofield, Heikki Seppä, Lyudmila Shumilovskikh, Normunds Stivrins, Philipp Stojakowits, Helena Svobodova Svitavska, Joanna ÅwiÄta-Musznicka, Ioan Tantau, Willy Tinner, Kazimierz Tobolski, Spassimir Tonkov, Margarita Tsakiridou, Verushka Valsecchi, Oksana G. Zanina, and Marcelina Zimny
Earth Syst. Sci. Data, 12, 2423–2445, https://doi.org/10.5194/essd-12-2423-2020,https://doi.org/10.5194/essd-12-2423-2020, 2020
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The Eurasian Modern Pollen Database (EMPD) contains pollen counts and associated metadata for 8134 modern pollen samples from across the Eurasian region. The EMPD is part of, and complementary to, the European Pollen Database (EPD) which contains data on fossil pollen found in Late Quaternary sedimentary archives. The purpose of the EMPD is to provide calibration datasets and other data to support palaeoecological research on past climates and vegetation cover over the Quaternary period.
Half-hourly changes in intertidal temperature at nine wave-exposed locations along the Atlantic Canadian coast: a 5.5-year study
Ricardo A. Scrosati, Julius A. Ellrich, and Matthew J. Freeman
Earth Syst. Sci. Data, 12, 2695–2703, https://doi.org/10.5194/essd-12-2695-2020,https://doi.org/10.5194/essd-12-2695-2020, 2020
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We measured temperature every half hour during a period of 5.5 years (2014â2019) at nine wave-exposed rocky intertidal locations along the Atlantic coast of Nova Scotia, Canada. We summarize the main properties of this data set by focusing on location-wise values of daily maximum and minimum temperature and daily SST.
Bed topography of Princess Elizabeth Land in East Antarctica
Xiangbin Cui, Hafeez Jeofry, Jamin S. Greenbaum, Jingxue Guo, Lin Li, Laura E. Lindzey, Feras A. Habbal, Wei Wei, Duncan A. Young, Neil Ross, Mathieu Morlighem, Lenneke M. Jong, Jason L. Roberts, Donald D. Blankenship, Sun Bo, and Martin J. Siegert
Earth Syst. Sci. Data, 12, 2765–2774, https://doi.org/10.5194/essd-12-2765-2020,https://doi.org/10.5194/essd-12-2765-2020, 2020
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We present a topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL), East Antarctica. The DEM covers an area of approximately 900 000 km2 and was built from radio-echo sounding data collected in four campaigns since 2015. Previously, to generate the Bedmap2 topographic product, PELâs bed was characterised from low-resolution satellite gravity data across an otherwise large (>200 km wide) data-free zone.
Measurements of hydrodynamics, sediment, morphology and benthos on Ameland ebb-tidal delta and lower shoreface
Bram C. van Prooijen, Marion F. S. Tissier, Floris P. de Wit, Stuart G. Pearson, Laura B. Brakenhoff, Marcel C. G. van Maarseveen, Maarten van der Vegt, Jan-Willem Mol, Frank Kok, Harriette Holzhauer, Jebbe J. van der Werf, Tommer Vermaas, Matthijs Gawehn, Bart Grasmeijer, Edwin P. L. Elias, Pieter Koen Tonnon, Giorgio Santinelli, José A. A. AntolÃnez, Paul Lodewijk M. de Vet, Ad J. H. M. Reniers, Zheng Bing Wang, Cornelis den Heijer, Carola van Gelder-Maas, Rinse J. A. Wilmink, Cor A. Schipper, and Harry de Looff
Earth Syst. Sci. Data, 12, 2775–2786, https://doi.org/10.5194/essd-12-2775-2020,https://doi.org/10.5194/essd-12-2775-2020, 2020
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To protect the Dutch coastal zone, sand is nourished and disposed at strategic locations. Simple questions like where, how, how much and when to nourish the sand are not straightforward to answer. This is especially the case around the Wadden Sea islands where sediment transport pathways are complicated. Therefore, a large-scale field campaign has been carried out on the seaward side of Ameland Inlet. Sediment transport, hydrodynamics, morphology and fauna in the bed were measured.
A long-term (2005â2016) dataset of hourly integrated landâatmosphere interaction observations on the Tibetan Plateau
Yaoming Ma, Zeyong Hu, Zhipeng Xie, Weiqiang Ma, Binbin Wang, Xuelong Chen, Maoshan Li, Lei Zhong, Fanglin Sun, Lianglei Gu, Cunbo Han, Lang Zhang, Xin Liu, Zhangwei Ding, Genhou Sun, Shujin Wang, Yongjie Wang, and Zhongyan Wang
Earth Syst. Sci. Data, 12, 2937–2957, https://doi.org/10.5194/essd-12-2937-2020,https://doi.org/10.5194/essd-12-2937-2020, 2020
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In comparison with other terrestrial regions of the world, meteorological observations are scarce over the Tibetan Plateau. This has limited our understanding of the mechanisms underlying complex interactions between the different earth spheres with heterogeneous land surface conditions. The release of this continuous and long-term dataset with high temporal resolution is expected to facilitate broad multidisciplinary communities in understanding key processes on the Third Pole of the world.
An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets
Maialen Iturbide, José M. Gutiérrez, Lincoln M. Alves, JoaquÃn Bedia, Ruth Cerezo-Mota, Ezequiel Cimadevilla, Antonio S. Cofiño, Alejandro Di Luca, Sergio Henrique Faria, Irina V. Gorodetskaya, Mathias Hauser, Sixto Herrera, Kevin Hennessy, Helene T. Hewitt, Richard G. Jones, Svitlana Krakovska, Rodrigo Manzanas, Daniel MartÃnez-Castro, Gemma T. Narisma, Intan S. Nurhati, Izidine Pinto, Sonia I. Seneviratne, Bart van den Hurk, and Carolina S. Vera
Earth Syst. Sci. Data, 12, 2959–2970, https://doi.org/10.5194/essd-12-2959-2020,https://doi.org/10.5194/essd-12-2959-2020, 2020
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We present an update of the IPCC WGI reference regions used in AR5 for the synthesis of climate change information. This revision was guided by the basic principles of climatic consistency and model representativeness (in particular for the new CMIP6 simulations). We also present a new dataset of monthly CMIP5 and CMIP6 spatially aggregated information using the new reference regions and describe a worked example of how to use this dataset to inform regional climate change studies.
High-resolution mapping of circum-Antarctic landfast sea ice distribution, 2000â2018
Alexander D. Fraser, Robert A. Massom, Kay I. Ohshima, Sascha Willmes, Peter J. Kappes, Jessica Cartwright, and Richard Porter-Smith
Earth Syst. Sci. Data, 12, 2987–2999, https://doi.org/10.5194/essd-12-2987-2020,https://doi.org/10.5194/essd-12-2987-2020, 2020
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Landfast ice, or fast ice, is a form of sea ice which is mechanically fastened to stationary parts of the coast. Long-term and accurate knowledge of its extent around Antarctica is critical for understanding a number of important Antarctic coastal processes, yet no accurate, large-scale, long-term dataset of its extent has been available. We address this data gap with this new dataset compiled from satellite imagery, containing high-resolution maps of Antarctic fast ice from 2000 to 2018.
Element and radionuclide concentrations in soils and wildlife from forests in north-eastern England with a focus on species representative of the ICRP's Reference Animals and Plants
Catherine L. Barnett, Nicholas A. Beresford, Michael D. Wood, Maria Izquierdo, Lee A. Walker, and Ross Fawkes
Earth Syst. Sci. Data, 12, 3021–3038, https://doi.org/10.5194/essd-12-3021-2020,https://doi.org/10.5194/essd-12-3021-2020, 2020
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This paper describes data from a study conducted in 2015–2016 to sample terrestrial wildlife, soil and water from two forests in north-eastern England. Sampling was targeted towards species representative of the International Commission on Radiological Protectionâs (ICRP) terrestrial Reference Animals and Plants (RAPs): Wild Grass, Pine Tree, Earthworm, Bee, Rat, Deer and Frog. The dataset comprises stable-element and radionuclide activity concentrations.
High-resolution global atmospheric moisture connections from evaporation to precipitation
Obbe A. Tuinenburg, Jolanda J. E. Theeuwen, and Arie Staal
Earth Syst. Sci. Data, 12, 3177–3188, https://doi.org/10.5194/essd-12-3177-2020,https://doi.org/10.5194/essd-12-3177-2020, 2020
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We provide a global database of moisture flows through the atmosphere using the most recent ERA5 atmospheric reanalysis. Using this database, it is possible to determine where evaporation will rain out again. However, the reverse is also possible, to determine where precipitation originated from as evaporation. This dataset can be used to determine atmospheric moisture recycling rates and therefore how much water is lost for a catchment through the atmosphere.
Global Carbon Budget 2020
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Judith Hauck, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Corinne Le Quéré, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone Alin, Luiz E. O. C. Aragão, Almut Arneth, Vivek Arora, Nicholas R. Bates, Meike Becker, Alice Benoit-Cattin, Henry C. Bittig, Laurent Bopp, Selma Bultan, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Wiley Evans, Liesbeth Florentie, Piers M. Forster, Thomas Gasser, Marion Gehlen, Dennis Gilfillan, Thanos Gkritzalis, Luke Gregor, Nicolas Gruber, Ian Harris, Kerstin Hartung, Vanessa Haverd, Richard A. Houghton, Tatiana Ilyina, Atul K. Jain, Emilie Joetzjer, Koji Kadono, Etsushi Kato, Vassilis Kitidis, Jan Ivar Korsbakken, Peter Landschützer, Nathalie Lefèvre, Andrew Lenton, Sebastian Lienert, Zhu Liu, Danica Lombardozzi, Gregg Marland, Nicolas Metzl, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin O'Brien, Tsuneo Ono, Paul I. Palmer, Denis Pierrot, Benjamin Poulter, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Adam J. P. Smith, Adrienne J. Sutton, Toste Tanhua, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Guido van der Werf, Nicolas Vuichard, Anthony P. Walker, Rik Wanninkhof, Andrew J. Watson, David Willis, Andrew J. Wiltshire, Wenping Yuan, Xu Yue, and Sönke Zaehle
Earth Syst. Sci. Data, 12, 3269–3340, https://doi.org/10.5194/essd-12-3269-2020,https://doi.org/10.5194/essd-12-3269-2020, 2020
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The Global Carbon Budget 2020 describes the data sets and methodology used to quantify the emissions of carbon dioxide and their partitioning among the atmosphere, land, and ocean. These living data are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
A global mean sea surface temperature dataset for the Last Interglacial (129â116 ka) and contribution of thermal expansion to sea level change
Chris S. M. Turney, Richard T. Jones, Nicholas P. McKay, Erik van Sebille, Zoë A. Thomas, Claus-Dieter Hillenbrand, and Christopher J. Fogwill
Earth Syst. Sci. Data, 12, 3341–3356, https://doi.org/10.5194/essd-12-3341-2020,https://doi.org/10.5194/essd-12-3341-2020, 2020
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The Last Interglacial (129–116 ka) experienced global temperatures and sea levels higher than today. The direct contribution of warmer conditions to global sea level (thermosteric) are uncertain. We report a global network of sea surface temperatures. We find mean global annual temperature anomalies of 0.2 ± 0.1ËC and an early maximum peak of 0.9 ± 0.1ËC. Our reconstruction suggests warmer waters contributed on average 0.08 ± 0.1 m and a peak contribution of 0.39 ± 0.1 m to global sea level.
Data generated during the 2018 LAPSE-RATE campaign: an introduction and overview
Gijs de Boer, Adam Houston, Jamey Jacob, Phillip B. Chilson, Suzanne W. Smith, Brian Argrow, Dale Lawrence, Jack Elston, David Brus, Osku Kemppinen, Petra Klein, Julie K. Lundquist, Sean Waugh, Sean C. C. Bailey, Amy Frazier, Michael P. Sama, Christopher Crick, David Schmale III, James Pinto, Elizabeth A. Pillar-Little, Victoria Natalie, and Anders Jensen
Earth Syst. Sci. Data, 12, 3357–3366, https://doi.org/10.5194/essd-12-3357-2020,https://doi.org/10.5194/essd-12-3357-2020, 2020
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This paper provides an overview of the Lower Atmospheric Profiling Studies at Elevation – a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE) field campaign, held from 14 to 20 July 2018. This field campaign spanned a 1-week deployment to Colorado's San Luis Valley, involving over 100 students, scientists, engineers, pilots, and outreach coordinators. This overview paper provides insight into the campaign for a special issue focused on the datasets collected during LAPSE-RATE.
A decade of GOSAT Proxy satellite CH4 observations
Robert J. Parker, Alex Webb, Hartmut Boesch, Peter Somkuti, Rocio Barrio Guillo, Antonio Di Noia, Nikoleta Kalaitzi, Jasdeep S. Anand, Peter Bergamaschi, Frederic Chevallier, Paul I. Palmer, Liang Feng, Nicholas M. Deutscher, Dietrich G. Feist, David W. T. Griffith, Frank Hase, Rigel Kivi, Isamu Morino, Justus Notholt, Young-Suk Oh, Hirofumi Ohyama, Christof Petri, David F. Pollard, Coleen Roehl, Mahesh K. Sha, Kei Shiomi, Kimberly Strong, Ralf Sussmann, Yao Té, Voltaire A. Velazco, Thorsten Warneke, Paul O. Wennberg, and Debra Wunch
Earth Syst. Sci. Data, 12, 3383–3412, https://doi.org/10.5194/essd-12-3383-2020,https://doi.org/10.5194/essd-12-3383-2020, 2020
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This work presents the latest release of the University of Leicester GOSAT methane data and acts as the definitive description of this dataset. We detail the processing, validation and evaluation involved in producing these data and highlight its many applications. With now over a decade of global atmospheric methane observations, this dataset has helped, and will continue to help, us better understand the global methane budget and investigate how it may respond to a future changing climate.
A global anthropogenic emission inventory of atmospheric pollutants from sector- and fuel-specific sources (1970â2017): an application of the Community Emissions Data System (CEDS)
Erin E. McDuffie, Steven J. Smith, Patrick O'Rourke, Kushal Tibrewal, Chandra Venkataraman, Eloise A. Marais, Bo Zheng, Monica Crippa, Michael Brauer, and Randall V. Martin
Earth Syst. Sci. Data, 12, 3413–3442, https://doi.org/10.5194/essd-12-3413-2020,https://doi.org/10.5194/essd-12-3413-2020, 2020
Short summary
Short summary
Global emission inventories are vital to understanding the impacts of air pollution on the environment, human health, and society. We update the open-source Community Emissions Data System (CEDS) to provide global gridded emissions of seven key air pollutants from 1970–2017 for 11 source sectors and multiple fuel types, including coal, solid biofuel, and liquid oil and natural gas. This dataset includes both monthly global gridded emissions and annual national totals.
Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring
Cheng Chen, Oleg Dubovik, David Fuertes, Pavel Litvinov, Tatyana Lapyonok, Anton Lopatin, Fabrice Ducos, Yevgeny Derimian, Maurice Herman, Didier Tanré, Lorraine A. Remer, Alexei Lyapustin, Andrew M. Sayer, Robert C. Levy, N. Christina Hsu, Jacques Descloitres, Lei Li, Benjamin Torres, Yana Karol, Milagros Herrera, Marcos Herreras, Michael Aspetsberger, Moritz Wanzenboeck, Lukas Bindreiter, Daniel Marth, Andreas Hangler, and Christian Federspiel
Earth Syst. Sci. Data, 12, 3573–3620, https://doi.org/10.5194/essd-12-3573-2020,https://doi.org/10.5194/essd-12-3573-2020, 2020
Short summary
Short summary
Aerosol products obtained from POLDER/PARASOL processed by the GRASP algorithm have been released. The entire archive of PARASOL/GRASP aerosol products is evaluated against AERONET and compared with MODIS (DT, DB and MAIAC), as well as PARASOL/Operational products. PARASOL/GRASP aerosol products provide spectral 443–1020 nm AOD correlating well with AERONET with a maximum bias of 0.02. Finally, GRASP shows capability to derive detailed spectral properties, including aerosol absorption.
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https://med.wanfangdata.com.cn/Periodical/Issue%3Fid%3D100968562%26year%3D2019%26issue%3D19-1
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https://www.yumpu.com/en/document/view/5325060/ethnicity-meditproto-endversion-def-shikandanet
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Ethnicity_MeditProto_ENDVERSION def - Shikanda.net
|
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Attention! Your ePaper is waiting for publication!
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https://www.famousfix.com/list/people-from-elburg
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en
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List of People from Elburg
|
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FamousFix.com
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https://www.famousfix.com/list/people-from-elburg
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Jaap Smit Dutch, Politician
0 0
rank #1 ·
Jaap Smit (born 8 March 1957) is a Dutch preacher, manager and since 1 January 2014 the King's Commissioner of South Holland. He was previously trade union leader of the Christelijk Nationaal Vakverbond.
Jan Smallenbroek Dutch politician
0 0
rank #3 ·
Jan Smallenbroek (21 February 1909 – 29 September 1974) was a Dutch politician of the defunct Anti-Revolutionary Party (ARP) now merged into the Christian Democratic Appeal (CDA) party and nonprofit director.
Mayors in Gelderland · 18T
Aldermen in Gelderland · 19T
Municipal councillors in Gelderland · 24T
Anne van Schuppen Dutch distance runner
0 0
rank #4 ·
Antje ("Anne") Elisabeth van Schuppen (born 11 October 1960 in Doornspijk, Gelderland) is a former long-distance runner from the Netherlands, who represented her native country at the 1996 Summer Olympics in Atlanta, Georgia. There she finished in 41st place, clocking 2:40:46. She won the Rotterdam Marathon on 18 April 1993 in a time of 2:34:15. She won the City-Pier-City Loop half marathon in the Hague in 1992.
Dutch female marathon runners · 12T
Dutch female long-distance runners · 21T
Dutch sportswomen · 314T
Dick Boschman Dutch sport shooter
0 0
rank #6 ·
Dick Boschman (born 10 October 1974 in Elburg) is a Dutch sport shooter. He has been selected to compete for the Netherlands in two editions of the Olympic Games (2000 and 2004), and has won a career tally of nine medals in a major international competition, spanning the ISSF World Cup series and the European Championships. Boschman trains full-time under trainer Heinz Reinkemeier (GER) for the national team, while practicing at Oostendorp Shooting Range (Dutch: Schietvereniging Oostendorp) in his hometown Elburg.
Dutch male sport shooters · 66T
Olympic shooters of the Netherlands · 68T
Shooters at the 2004 Summer Olympics · 390T
0 0
rank #7 ·
Jacob Jan van der Maaten (Elburg, 4 January 1820 – Apeldoorn, 16 April 1879) was a Dutch painter and etcher. Van der Maaten was a pupil of Hendrikus van de Sande Bakhuyzen and studied at the Royal Academy of Art, The Hague. In 1852 he became a member of the Royal Academy of Fine Arts in Amsterdam. Later, Van der Maaten became teacher at the so-called King’s School in Apeldoorn (1866–1879).
Dutch male painters · 1,461T
Hague School · 46T
Dutch etchers · 20T
Simone Kennedy-Doornbos Dutch Christian Union politician
0 0
rank #9 ·
S.J. (Simone) Kennedy-Doornbos (born 19 December 1970 in Kampen) is a Dutch politician of the ChristianUnion (ChristenUnie). She is also a tour operator and former translator.
Municipal councillors of Amersfoort · 4T
21st-century Dutch women politicians · 194T
21st-century Dutch politicians · 593T
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https://m.facebook.com/groups/901039137995809/posts/1173369850762735/
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Facebook
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https://www.diaglobal.org/zh-cn/flagship/dia-2019/program/continuing-education/disclosures
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Faculty Disclosure Statements
|
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Disclosures
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https://www.diaglobal.org/zh-cn/flagship/dia-2019/program/continuing-education/disclosures
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https://fairlawnmemorialcemetery.com/scheduled-funerals/
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Updates for Upcoming Services
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2023-09-28T20:02:17+00:00
|
Fair Lawn Memorial Cemetery & Mausoleum provides up-to-date funeral schedules. We're also reachable at 201-796-1485 for any queries.
|
en
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Fair Lawn Memorial Cemetery
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https://fairlawnmemorialcemetery.com/scheduled-funerals/
|
Office Hours
Monday – Friday • 9:00 AM to 3:00 PM
Gates & Mausoleum
Open Daily • 8:00 AM to 5:00 PM
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https://en.wikipedia.org/wiki/James_Kennedy_(historian)
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James Kennedy (historian)
|
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2008-07-24T19:25:29+00:00
|
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/static/apple-touch/wikipedia.png
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https://en.wikipedia.org/wiki/James_Kennedy_(historian)
|
American historian (born 1963)
James Carleton Kennedy (born 1963 in Orange City, Iowa) is an American historian. He is the son of E.W. (Bill) and Nella Kennedy. The elder Dr. Kennedy was for years an eminent professor of religion at Northwestern College.
Kennedy was born and grew up in Orange City, Iowa, a Reformed village with a large portion of the population having roots in Netherlands. His mother is a Dutch-born immigrant.
He studied foreign service at Georgetown University, obtaining his B.S. in 1986, Christian studies at Calvin Theological Seminary in Grand Rapids, Michigan, obtaining his M.A. in 1988, and took his PhD in history from the University of Iowa in 1995.
He performed several jobs in the field of history before becoming an assistant professor of European history and research fellow at the A. C. Van Raalte Institute, Hope College in Holland, Michigan in 1997.
In 2003, Kennedy moved to the Netherlands because he was appointed a professor of modern history (20th century) at the Vrije Universiteit Amsterdam. In 2007 he changed to the University of Amsterdam, where he became a professor of the history of the Netherlands. In 2009 he succeeded professor Piet de Rooy, head of the section of the history of the Netherlands. Between October 1, 2015, and December 2020, Kennedy was Dean of University College Utrecht.
Kennedy takes a special interest in post-war Dutch history. Because of his Christian belief he considers himself a Christian historian although he is reserved to point out how God is guiding human history.
Politically, he characterizes himself as an independent. However, in the presidential campaign of 2004 he was in favor of John Kerry, the presidential candidate of the Democrats.
James Kennedy is married to Simone Kennedy-Doornbos, a Dutch politician for the ChristianUnion, who has been serving as a Senator since 2023. They have three children. The Kennedy family is a member of the Reformed Churches in the Netherlands (Liberated), an orthodox reformed denomination.
Building new Babylon: cultural change in the Netherlands during the 1960s (1995, dissertation), translated in Dutch as Nieuw Babylon in aanbouw: Nederland in de jaren zestig, Amsterdam, Boom, 1995)
History of the Low Countries (New York, Berghahn Books, 1999), adapted translation from the Geschiedenis van de Nederlanden, Hans Blom and Emiel Lamberts, 1993)
Een weloverwogen dood. De opkomst van de euthanasie in Nederland (Amsterdam, Bakker, 2002) - about the development of euthanasia in the Netherlands
Bezielende verbanden. Gedachten over religie, politiek en maatschappij in het moderne Nederland (Amsterdam, Bakker, 2009)
Stad op een berg. De publieke rol van protestantse kerken (Zoetermeer, Boekencentrum Uitgevers, 2010)
A Concise History of the Netherlands (Cambridge, Cambridge University Press, 2017)
Aan Het Werk (Amsterdam, Prometheus, 2021)
Equivalent article on the Dutch Wikipedia
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https://www.k-state.edu/media/newsreleases/lists/scholar1415/index.html
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Kansas State University
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MANHATTAN — More than 12,000 academic scholarships have been awarded to Kansas State University students for the 2014-2015 school year.
Overall, students have earned more than $25.6 million in scholarships for the current academic year — $6.4 million more than the previous year.
Most of the scholarships are made possible through donations and gifts to the Kansas State University Foundation. Information on the university's student financial assistance is available at http://www.k-state.edu/sfa.
Students receiving scholarships include:
Counties
Allen, Anderson and Atchison
Barber, Barton, Bourbon, Brown and Butler
Chase, Chautauqua, Cherokee, Cheyenne, Clark, Clay, Cloud, Coffey, Comanche, Cowley and Crawford
Decatur, Dickinson, Doniphan and Douglas
Edwards, Elk, Ellis and Ellsworth
Finney, Ford and Franklin
Geary, Gove, Graham, Grant, Gray, Greeley and Greenwood
Hamilton, Harper, Harvey, Haskell and Hodgeman
Jackson, Jefferson, Jewell and Johnson
Kearny, Kingman and Kiowa
Labette, Lane, Leavenworth, Lincoln, Linn and Lyon
Marion, Marshall, McPherson, Meade, Miami, Mitchell, Montgomery, Morris and Morton
Nemaha, Neosho, Ness and Norton
Osage, Osborne and Ottawa
Pawnee, Phillips, Pottawatomie and Pratt
Rawlins, Reno, Republic, Rice, Riley, Rooks, Rush and Russell
Saline, Scott, Sedgwick, Seward, Shawnee, Sheridan, Sherman, Smith, Stafford, Stanton, Stevens and Sumner
Thomas and Trego
Wabaunsee, Wallace, Washington, Wichita, Wilson, Woodson and Wyandotte
Out of state
U.S. territories
Alabama, Alaska, Arizona and Arkansas
California, Colorado and Connecticut
Delaware
Florida
Georgia
Hawaii
Idaho, Illinois, Indiana and Iowa
Kentucky
Louisiana
Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri and Montana
Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina and North Dakota
Ohio, Oklahoma and Oregon
Pennsylvania
Rhode Island
South Dakota
Tennessee and Texas
Utah
Virginia
Washington, West Virginia, Wisconsin and Wyoming
Out of country
Kansas Counties
Allen County
Humboldt: Stacy Mueller, Business Administration Dean's Scholarship and Global Campus Scholarship for Distance Education; Alexander Murrow, Joseph T. and Ann L. Davis Memorial Scholarship; Anna Setter, Ellis Foundation Scholarship Match, Joseph T. and Ann L. Davis Memorial Scholarship and Leadership Scholarship; Catherine Sharp, K-State Transfer Academic Award and Leslie W. Beckman and Edna L. Beckman Memorial Scholarship
Iola: Maria Baker, Mary Inez Mann Scholarship; Jasmine Bannister, K-State Marching Band Scholarship and Marching Pride Scholars; Emily Clark, CHS University Scholarship and John T. Whetzel Scholarship; Cheyanna Colborn, Jaconette L. Tietze Memorial Scholarship; Wendy George, Global Campus Scholarship for Distance Education; Eric Heffern, Elmer D. McCollum Alpha Tau Omega Scholarship, Engineering Scholarships Fund and Human Ecology Telefund Fund; Pavel Kuropatkin, International Tuition Offset and K-State Alumni Association Scholarship; Molly Maxwell, Judith Cain Scholarship; Paige Miller, Activity Scholarship and K-State Alumni Association Scholarship; Bryce Misenhelter, Putnam Scholarship; Bryan Mueller, First in Class Scholarship and K-State Alumni Association Scholarship; Autumn Snesrud, A Special President's Scholarship, Diversity for Community Committee Student Travel Award, Judith Cain Scholarship and Marching Pride Scholars; Jordan Strickler, Arts and Sciences Fund for Excellence, K-State Marching Band Scholarship and Rosamond P. Haeberle Music Education Scholarship; Jason Tidd, Foundation Scholarship; Lauren Toney, K-State Alumni Association Scholarship; Abby Works, Len and Stella Harden Scholarship Fund and Student Governing Association Leadership Award; Dylan Works, Friends of International Programs Discretionary Fund
La Harpe: Nathan Smart, Borck Leadership Scholars and E. Robert and Donna Kern Agricultural Economics Scholarship
Moran: Kaitlin Ensminger, Activity Scholarship, Edward Arthur Harris and Lydia Catherine McNeal Harris Scholarship, First in Class Scholarship and Mabel Laughlin and Chas Selby Scholarship; Cody Knight, Ed Morrison Jr. Milling Scholarship; Megan Meiwes, Fairchild Scholarship and R.M. "Max" Wilson Memorial Scholarship; Hollie Sparks, George Irvine Agricultural Scholarship
Savonburg: Matthew Hale, Mechanical Engineering Scholarship
Anderson County
Colony: Emily Frank, First in Class Scholarship, Foundation Scholarship, Gayle Foster Alumni Club Scholarship and K-State Alumni Association Scholarship; Amanda Strickler, Don D. and Barbara L. Pretzer Scholarship, K-State Alumni Association Legacy Scholarship, Leroy and Janice Huseman Family Scholarship in Agricultural Education and Nelson Family Memorial Scholarship; Dexter Wiley, George S. and Monita McNeill Timmons Scholarship
Garnett: Evan Bennett, Donald R. Longabach Scholarship; Denver Johnston, New Family Alpha Gamma Rho Scholarship in Agriculture; Darissa Maley, College of Education Alumni Scholarship and Leadership Scholarship; Miranda Rickel, Achievement Award; Gracen Rockers, Gladwin A. Read Memorial Fund and Transfer Leadership Scholarship; Hannah Steele, Achievement Award and First in Class Scholarship; Jesica Steele, Clifford and Thelma Joslin Memorial Scholarship and Leadership Scholarship; Arthur White, Jon Levin K-State Student Union General Scholarship
Greeley: Amber Stifter, George S. and Monita McNeill Timmons Scholarship in Human Ecology; Tyler Stifter, Mark Keenan Family Architectural Engineering and Construction Science Scholarship and Sherwood Construction Co. Inc. Scholarship
Richmond: Amanda Bures, Byers Ranches Scholarship Fund
Welda: Cody Pretzer, K-State Transfer Academic Award; Ashton Yoder, Charles D. Singelton Scholarship in Grain Science and Industry and Manna Pro Employees Feed Science Scholarship
Westphalia: Drew Mechnig, Ralph and Dora Rogers Memorial Scholarship; Wyatt Pracht, Koch Nitrogen Company Agriculture Economics Scholarship and William S. May Scholarship for Agricultural Finance
Atchison County
Atchison: Korby Anderson, Bachelor Controls Inc. Engineering Scholarship, Lynn B. Alford Memorial Scholarship and Oscar W. and Zayda V. Dahl USD 377 Scholarship; Kasee Armstrong, Oscar W. and Zayda V. Dahl USD 377 Scholarship; Jacob Bullock, Oscar W. and Zayda V. Dahl USD 377 Scholarship and Tointon Family Scholarship; Hannah Corpstein, Robert Prebyl Soil and Water Conservation Society Scholarship; Vincent DeMaranville, Dewey and Nelta Axtell Scholarship; Karis Dolenz, Achievement Award, K-State Music Advisory Council Scholarships, Marion Herfort Pelton Music Scholarship Fund, Patricia Jordan Buckwell Music Education Scholarship, and the Mr. and Mrs. S.N. Endsley Scholarship Fund; Allison DuLac, Lois G. and Jerome L. Chandler Scholarship in Human Ecology, Russell E. Serles Scholarship and Transfer Achievement Award; Ashton Ettleman, Oscar W. and Zayda V. Dahl USD 377 Scholarship; Darren Falk, Ralph I. Lipper Scholarship; Callie Farrell, Jean Lawson Bottger Scholarship in Dietetics; Madeline Gonzalez-Williams, Joseph T. and Ann L. Davis Memorial Scholarship and Oscar W. and Zayda V. Dahl USD 377 Scholarship; Brock Hanf, Ellis Foundation Scholarship Match; Trevor Kocour, Ellis Foundation Scholarship Match; Mark McDermed, George W. Hall Memorial Scholarship Fund and Leadership Scholarship; Angela Moccia, Medallion Scholarship; Brooklynn Otte, Ellis Foundation Scholarship Match; Lindsey Palmer, Timothy J. and Veronica S. Regan Scholarship in Education; Lacee-Rae' Surritt, Ellis Foundation Scholarship Match; Lauren Thomas, Foundation Scholarship; Harris Tsamolias, Oscar W. and Zayda V. Dahl USD 377 Scholarship; Spencer Walker, Ellis Foundation Scholarship Match
Cummings: Emma Bassette, Aileen Burkholder Crosman Scholarship, Global Education Initiative and Leadership Scholarship; Molly Bassette, June D. Hull Sherrid Cancer Center Scholarship and Education Fund, and Putnam Scholarship
Effingham: Bridgett Kelly, Ellis Foundation Scholarship Match, Foundation Scholarship, and Tomorrow's Teacher Scholarship; Lisa Mead, Fern and Bernell Schneider Memorial Scholarship for Teacher Training; Kelsi Sheeley, Ellis Foundation Scholarship Match; Darren Snyder, NAOEFA scholarship and Reginald H. Painter Memorial Scholarship; Emily Warriner, Arthur Capper Cooperative Center and Ruth McClanahan Dotson (Class of 1940) and John Dotson (Class of 1939) Scholarship; Kelsey Weber, Kay Meggers-Siemens Corporation Management Scholarship and Vance L. Burch Scholarship
Everest: Kristen Jensen, Charles D. Singelton Scholarship in Grain Science and Industry, Oscar W. and Zayda V. Dahl USD 430 Scholarship and Rempe Family Scholarship in Grain Science
Horton: Ramsey Hundley, Archie and Flora Cogswell Grain Science Scholarship, Arlin B. Ward Scholarship, and Neva E. Babcock Scholarship
Nortonville: Presley Rodecap, Foundation Scholarship, and Oscar W. and Zayda V. Dahl USD 377 Scholarship; Matthew Stutz, Activity Scholarship, Mr. and Mrs. George Mackay and Daughter Scholarship, and Tillman Family Memorial Agriculture Scholarship
Barber County
Kiowa: Kale Girty, Activity Scholarship and Richard M. and Eileen M. Strong Scholarship; Kiera Yates, Achievement Award
Medicine Lodge: Casey Pennock, Enloe Family Scholarship and Transfer Leadership Scholarship; Brock Traffas, Foundation Scholarship
Barton County
Claflin: Timothy Demel, Medallion Scholarship, and the Mr. and Mrs. S.N. Endsley Scholarship Fund; Carly Hoffman, W.E. Long Scholarship; Natalie Hoffman, Carolee Baertch Clowers Memorial Scholarship, and Earle W. and Pearl G. Campbell Scholarship; Peter Krier, K-State Alumni Association Scholarship, and Leslie W. Beckman and Edna L. Beckman Memorial Scholarship; Courtney Liebl, Jaconette L. Tietze Memorial Scholarship; William Radenberg, Foundation Scholarship and Ralph and Dora Rogers Memorial Scholarship; Sydney Rugan, Achievement Award and Max E. and Jean Hollinger Scholarship in Journalism and Mass Communications; Timothy Stueder, Achievement Award and Bernard I. and Caroline N. Melia Scholarship in Agriculture; Nolan Wirth, Engineering Scholarships Fund, Hutton Construction Scholarship in Construction Science and Nightingale Scholarship
Ellinwood: Kyle Blakeslee, K-State Alumni Association Legacy Scholarship, Leslie W. Beckman and Edna L. Beckman Memorial Scholarship and Transfer Achievement Award; Cody Clair, Business Administration Dean's Scholarship and Transfer Achievement Award; Ansley Herzog, First Scholars Program-Suder Foundation Scholarships and K-State Alumni Association Scholarship; Ethan Linden, Joseph F. and Kathryn Y. Allison Scholarship and Transfer Achievement Award; Jenna Snell, K-State Transfer Academic Award; Stephanie Troyer, Transfer Achievement Award; Brett Whelan, R.E. "Gene" and Mary Beth Bonnell Scholarship
Great Bend: Amber Baker, Gayle Foster Alumni Club Scholarship; Bonny Boultinghouse, Borck Leadership Scholars and Max M. Polk Scholarship; Christopher Burley, C.J. Hsu Engineering Scholarship, Lambda Chi Alpha Brotherhood and Industrial and Manufacturing Systems Engineering Scholarship and Leadership Scholarship; Gregory Burley, Achievement Award, Jimmy V. and Lucile A. Hoar Memorial Scholarship and Memorial Scholarship; Jesus Carbajal, Achievement Award, Housing Leadership Award and Memorial Scholarship; Maria Chavez, K-State Transfer Academic Award; Kelsey Couture, Transfer Achievement Award; Samantha Dreiling, Catherine Hardin Tendick Scholarship; Logan Evers, Agricultural Enhancement Fund, K-State Alumni Association Scholarship and William E. and Stella Miles Family Scholarship; Jessica Freund, Gayle Foster Alumni Club Scholarship; Taylor Fry, Leadership Scholarship, Marion H. Pelton Scholarship, Marion Herfort Pelton Music Scholarship Fund and Verna Belle Barr Cassell Wildcat Scholarship in the College of Business Administration; Morgan Gauby, Alvin E. and A. Katherine Mulanax Scholarship Fund and Foundation Scholarship; Aaron Goerl, Arlin B. Ward Scholarship and Putnam Scholarship; Rachael Gros, Foundation Scholarship and Memorial Scholarship; Hunter Harrison, Herbert H. and Neva J. Blevins Scholarship; Gregory Hildebrand, Shepard Rader Memorial "Willie the Wildcat" Fund; Hannah Hildebrand, K-State Alumni Association Scholarship, Medallion Scholarship, and Victor C. and June L. Koelsch Scholarship Fund; Jeffrey Hipp, Foundation for Engineering at Kansas State University Fund; Cameron Jackson, John R. and Polly Rhudy Curtis Scholarship and Medallion Scholarship; Tyler Krizek, Foundation for Engineering at Kansas State University Fund and Ralph and Dora Rogers Memorial Scholarship; Taylor Latham, Barton County Scholarship, Gayle Foster Alumni Club Scholarship and Medallion Scholarship; Sarah Liston, Leadership Scholarship and Lucile Rust Scholarship; Logan Marshall, Peter Seitz Management Scholarship; Jacob Martin, Ralph and Dora Rogers Memorial Scholarship; Sara McAfee, Activity Scholarship and K-State Alumni Association Scholarship; Kelli McManaman, Medallion Scholarship and W.E. Long Scholarship; Allison Niederee, Pi Beta Phi Leadership Scholarship and Soaring with Eagles Scholarship; Dakota Peterson, K-State Alumni Association Scholarship, Milton Z. Pelischek Scholarship and W.E. Long Scholarship; Jeffrey Pike, Transfer Achievement Award; Nicole Reiter, Dennis and Sally von Waaden Business Scholarship and Memorial Scholarship; Alaycia Ryan, Achievement Award, Gayle Foster Alumni Club Scholarship, Memorial Scholarship, Norman D. and Trella A. Currie Scholarship, and Tommy L. and Ann Denise Smith Scholarship; Aaron Sanko, Achievement Award; Brianna Schartz, Achievement Award and K-State Alumni Association Scholarship; Connor Sell, Art Glade Milling Science Scholarship and David G. and Robert K. Page Memorial Scholarship in Milling Technology; Erin Sullivan, Helen Ensign McManis Housing and Dining Scholarship in Human Ecology; Elizabeth Swigart, K-State Transfer Academic Award; David Tomlin, Foundation for Engineering at Kansas State University Fund and Warren and Mary Lynn Staley Engineering Excellence Scholarship; Madison Unruh, K-State Alumni Association Scholarship; William Walters, K-State Alumni Association Scholarship; Logan Zecha, Foundation Scholarship and K-State Alumni Association Scholarship
Hoisington: Julie Bitter, Arthur S. and Leora J. Peck Scholarship, Brining Family Scholarship and Kansas Cooperative Dairy Products Association Scholarship; Kagan Blackwell, Huschka Family Scholarship and Leadership Scholarship; Brannon Donovan, Foundation Scholarship; Kelsey Hall, Helen Jones Manus Memorial Scholarship; Drew Reisner, Betty L. Norris Scholarship in Arts and Sciences, K-State Theatre Fund, Rebecca Ollington Memorial Scholarship, and Vincent and Jamey Stonestreet Theatre Scholarship; Hannah Wilborn, Putnam Scholarship
Olmitz: Jenifer Axman, Mary Ann Walker Memorial Scholarship
Otis: Anndrea Kraisinger, Activity Scholarship
Bourbon County
Fort Scott: Alex Arnold, Global Campus Scholarship for Distance Education; Jessica Combs, Ellis Foundation Scholarship Match, J.V. Baptist Family Scholarship and Medallion Scholarship; Bayli Endicott, Ellis Foundation Scholarship Match and Telefund Scholarship; Joseph Fischer, Ellis Foundation Scholarship Match; Mark Garner, J.V. Baptist Family Scholarship; Colton Grillot, Ellis Foundation Scholarship Match; Alexander Ly, Ellis Foundation Scholarship Match and Memorial Scholarship; Megan Midkiff, Ellis Foundation Scholarship Match; Anthony Sercer, Harold Howe-E.J. Weisenberg Scholarship Fund; Trevor Swim, Yar M. Ebadi Scholarship; Katelyn Vincent, Ellis Foundation Scholarship Match, Fred and Cathy Cholick Agriculture Scholarship, Leroy and Janice Huseman Family Scholarship in Agricultural Education, Leslie W. Beckman and Edna L. Beckman Memorial Scholarship, Winzer J. "Jim" Petr Memorial Scholarship and Tomorrow's Teacher Scholarship
Uniontown: Seth Bartlett, K-State Transfer Academic Award and Leslie W. Beckman and Edna L. Beckman Memorial Scholarship; Drew George, Paul E. Shull Trumpet Scholarship, Transfer Achievement Award and Walter S. and Catherine Jones Scholarship; Reed Gleason, Gladwin A. Read Memorial Fund and Transfer Achievement Award; Lauren Rockhold, Ellis Foundation Scholarship Match; Brittany Tanner, Helen C. Schutte Memorial Scholarship
Brown County
Everest: Mikaela Lehew, Human Ecology Telefund Fund
Fairview: Carissa Tummons, Medallion Scholarship
Hiawatha: Valerie Binns, Fast Enterprises LLC Scholarship in Computer Engineering, Foundation Scholarship, K-State Alumni Association Legacy Scholarship, and William and Joyce Cyphers Owen Scholarship; Mariah Hisle, Betty Jane Knudson Scholarship and Oscar W. and Zayda V. Dahl USD 430 Scholarship; Jacob Hrencher, Betty Jane Knudson Scholarship, Foundation Scholarship and June D. Hull Sherrid Cancer Center Scholarship and Education Fund; Meredith Knudson, Catherine Hardin Tendick Scholarship; Branden Leupold, Achievement Award; Gabriel Lierz, Ivalee McCord Long Scholarship; Shane Meenen, Joseph T. and Ann L. Davis Memorial Scholarship; Jack Nolte, June D. Hull Sherrid Cancer Center Scholarship and Education Fund and Putnam Scholarship; Johannah O'Malley, Educational Opportunity Fund; Erica Schmitz, "Well" Environment Scholarship in Biological and Agricultural Engineering, Betty Jane Knudson Scholarship and Biological and Agricultural Engineering Excellence Scholarship; Sidney Schneider, Achievement Award; Samantha Shamburg, Foundation Scholarship; Justin Sprick, Betty Jane Knudson Scholarship; Breanna Swanson, Achievement Award and Nathan D. Keck Memorial Scholarship; Marshall Swearingen, Betty Jane Knudson Scholarship and Tillman Family Memorial Agriculture Scholarship
Horton: Keeley Cowley, Betty Jane Knudson Scholarship and Oscar W. and Zayda V. Dahl USD 430 Scholarship; Erica Schmitz, Oscar W. and Zayda V. Dahl USD 430 Scholarship
Lancaster: Allison Becker, Betty Jane Knudson Scholarship and Oscar W. and Zayda V. Dahl USD 430 Scholarship; Emily Becker, Achievement Award and Helen Ensign McManis Housing and Dining Scholarship in Human Ecology
Morrill: Matthew Manning, Business Administration Dean's Scholarship; Jesse Snyder, General Mills K-State Milling Science Scholarship
Powhattan: Johanna Brockhoff, Betty Jane Knudson Scholarship
Robinson: Laura Sommers, College of Education Alumni Scholarship and Richard and Martha Wenger Education Scholarship;
Sabetha: Abby Meyer, Betty Jane Knudson Scholarship, Carol Ann Holcomb Scholarship in Gerontology, Nina M. Browning Memorial Scholarship and Phi Eta Sigma Scholarship; Emma Montgomery, Ben Hakimian Study Abroad Scholarship; Cody Wilhelm, Foundation for Engineering at Kansas State University Fund and Ralph and Dora Rogers Memorial Scholarship
White Cloud: Brynn Wright, Betty Jane Knudson Scholarship
Butler County
Andover: Makenzie Allison, Foundation Scholarship; Shana Baker, Thelma Wolfersperger Holliday Scholarship; Justin Coen, Foundation Scholarship; Kelsie Cole, June D. Hull Sherrid Cancer Center Scholarship and Education Fund and Transfer Achievement Award; Ashley Cooper, K-State Alumni Association Scholarship; Cherilyn E, Medallion Scholarship and Memorial Scholarship; Monica Farfan, Agriculture Alumni Association Fund, Cargill Project Impact Scholarships and Memorial Scholarship; Macy Garcia, Memorial Scholarship; Dylan George, Foundation Scholarship and W.L. and Alberta Doyle Memorial Scholarship; Megan Glenn, Human Ecology Telefund Fund; Corbin Goedert, Accounting Scholarship Fund, Executive Mentorship Program, Finance Alumni Scholarship, Lindburg, Vogel, Pierce, Faris Chartered Scholarship and von Waaden Investment Management Scholarship; Alexander Grommet, Cleo Harvey Kuhn Scholarship and Medallion Scholarship; Steven Heitmeyer, Phillips 66 Shield Scholars Award Fund; Julia Hilts, Charles C. Tillotson Chemical Engineering Fund, K-State Alumni Association Legacy Scholarship, Phillips 66 Shield Scholars Award Fund and Stephen and Karen Clegg Engineering Scholarship; Ryan Hoover, Medallion Scholarship; Meg Huelskamp, Executive Mentorship Program, Foundation Scholarship and Ron and Joyce Lutz Scholarship; Andrew Ingram, Business Administration Dean's Scholarship and Putnam Scholarship; Kraemer Kaiser, Baeten Farm Scholarship; Juliana Karber, Leadership Scholarship and William Haak Scholarship Fund; Hayden Kinney, G.E. Johnson Engineering Scholarship; Megan Kohman, Putnam Scholarship; Stephen Leu, Medallion Scholarship and Ralph and Dora Rogers Memorial Scholarship; Paul Lewis, A.W. Michael and William Michael Scholarship; Sarah Lewis, Business Administration Dean's Scholarship and Leadership Scholarship; Meredith Meier, College of Education Alumni Scholarship; Taylor Murray, College of Education Alumni Scholarship and Elementary Education Scholarship; Taylor Ochsner, James B. Hollinger Family Scholarship and Putnam Scholarship; Kristen Ortleb, Transfer Leadership Scholarship; Abigail Parker, June D. Hull Sherrid Cancer Center Scholarship and Education Fund and Putnam Scholarship; Samantha Pedigo, College of Education Alumni Scholarship and College of Education Development Council Scholarship; Katlyn Stahl, Achievement Award and K-State Alumni Association Scholarship; Amanda Stultz, Foundation Scholarship; Alex Todd, Transfer Achievement Award; Leah Watts, Dick Mason Music Education Fund, Lloyd Muir Memorial Music Scholarship and William R. Fischer Memorial Scholarship; Jessica Wilkus, Achievement Award and James B. Hollinger Family Scholarship; Matthew Zuiss, Medallion Scholarship and Randy Sims Family Scholarship
Augusta: Michelle Cederberg, James B. Hollinger Family Scholarship and K-State Alumni Association Scholarship; Claire Daniels, Achievement Award; Calen Kearns, Verla Nesbitt Joscelyn Scholarship; Elisabeth Korthals, Agricultural Enhancement Fund, James B. Hollinger Family Scholarship, June D. Hull Sherrid Cancer Center Scholarship and Education Fund and Putnam Scholarship; Jacob Lowery, Foundation Scholarship; Andrew Peterson, Ardent Mills Scholarship; Rachel Peterson, Baeten Farm Scholarship; Adam Ronnebaum, Ralph and Dora Rogers Memorial Scholarship; Kara Schnake, College of Education Alumni Scholarship and Kenneth and Maxine Burkhard Science Teaching Scholarship; and Laura and Martin Turner Education Scholarship; Katie VanDever, Leadership Scholarship
Benton: Briana Reece, Ben Hakimian Study Abroad Scholarship and Frances Schepp and Leslie E. Wilkie Memorial Scholarship
Burns: Timothy Wedel, Ethel P. and Francis E. Carpenter Scholarship and K-State Transfer Academic Award
Cassoday: Kurt Lockwood, Gladwin A. Read Memorial Fund and Student Governing Association Leadership Award
Doulgass: Jared Holthaus, Transfer Achievement Award
El Dorado: Kutter Bookout, Eugene J. Laughlin Scholarship; Tyler Briscoe, Judith Cain Scholarship; Laura Haines, Center on Aging Excellence Fund and R.C. and Eva Finley Center on Aging Scholarship; Amy Harder, Elizabeth and William Henry Hinshaw Memorial Scholarship in Agriculture and Medallion Scholarship; Andrea Harkins, Enloe Family Scholarship and Foundation Scholarship; Matthew Harvey, Charles D. Singelton Scholarship in Grain Science and Industry; Spencer Jensen, Phillips 66 Shield Scholars Award Fund and Yar M. Ebadi Scholarship; Dylan McAdoo, Fairchild Scholarship; Trevor McCune, K-State Alumni Association Scholarship; Daphne Park, Catherine Hardin Tendick Scholarship and Medallion Scholarship; Katlyn Utech, Transfer Leadership Scholarship; Sage Waltemath, K-State Alumni Association Scholarship; Christopher White, BRiC Partnership Architectural Engineering and Construction Science Scholarship Fund, Engineering Scholarships Fund, Lawrence W. Brennan Architectural Engineering Scholarship and Purdy-McGuire Inc. Architectural Engineering Scholarship Fund
Elbing: Caleb Hoover, Charles E. Billingsley Accounting Scholarship and Family College of Business Administration Scholarships;
Potwin: Kaylee Laham, Activity Scholarship and H. Duane and Bonnie Saunders Scholarship;
Rosalia: Angela Merwin, Foundation Scholarship; Sarah Merwin, Arts and Sciences Fund for Excellence and Max E. and Jean Hollinger Scholarship in Journalism and Mass Communications;
Rose Hill: Patricia Cole, Barbe Family Scholarship, BKD Accounting Scholarship, Business Administration Dean's Scholarship and Sprint Business Scholarship Fund; Paige Downing, Laura Ann Wallace Hoener Memorial Scholarship and Sina Faye Fowler Scholarship; Zachary Freeman, Cessna Leadership Scholarship; Erica Fuller, Foundation Scholarship; Caleb Gravesen, J.D. Carroll Memorial Scholarship and Transfer Achievement Award; Jill Linot, Business Administration Dean's Scholarship and Transfer Achievement Award; Joseph McIntosh, Transfer Achievement Award; Madison Mermis, Achievement Award; Danielle Mount, Achievement Award; Kelsey Nelson, Business Administration Dean's Scholarship; Madison Nelson, Fairchild Scholarship; Michael Whinery, Dr. James Michael Duncan Engineering Scholarship, Phillips 66 Shield Scholars Award Fund and Warren and Mary Lynn Staley Engineering Excellence Scholarship; William Duren, Cargill Project Impact Scholarships, Memorial Scholarship, Rathbone Scholarship Fund and Robert Phillips Fosmire Memorial Scholarship
Towanda: Elizabeth Blackmore, Morrison Foundation Scholarship and T.A. Mindrup Endowed Scholarship; Jessica Fay, Foundation Scholarship and Robin Hagans Maupin Business Scholarship; Scott Lamunyon, Foundation Scholarship; Jason Lauxman, Ralph and Dora Rogers Memorial Scholarship; Joshua Tillotson, Transfer Achievement Award
Whitewater: Clark Busenitz, Foundation Scholarship and Merle R. Siegele Memorial Scholarship; Josiah Carey, Henry J. Putnam Memorial Scholarship, Joseph E. Ward Scholarship in Electrical Engineering, Moritz and Selma Auerbach Scholarship and Shirley and Vernon E. Fetterhoof Scholarship in Electrical Engineering; Grant Claassen, John and Pearl E. Bullock Scholarship and Leadership Scholarship; Samantha Claassen, Holly C. and E. Beth Fryer Human Nutrition Scholarship, Soaring with Eagles Scholarship and Wilma Johnston and James L. Hollis Scholarship for Home Economics
Wichita: Lauren Whiteside, College of Education Alumni Scholarship, M. Mosier Scholarship and Foundation Scholarship
Chase County
Cedar Point: Clayton Jackson, First in Class Scholarship, Foundation Scholarship, Helen Woolverton Memorial Scholarship and Lorrin A. Fink Memorial Scholarship
Cottonwood Falls: Kaylee Engle, Charles W. and Lois H. Nauheim 4-H Scholarship and K-State Alumni Association Legacy Scholarship; Lyle Grayson, Leadership Scholarship; Ryan Spinden, Achievement Award, Brown Family Scholarship and Rita Marie Deering Scholarship; Alissa Wells, Activity Scholarship and Rita Marie Deering Scholarship
Matfeild Green: Katie O'Brien, Achievement Award, Elizabeth and William Henry Hinshaw Memorial Scholarship in Agriculture and Rita Marie Deering Scholarship
Strong City: Kandace Griffin, Activity Scholarship, Charles and Merry Rayl Judging Team Award, First in Class Scholarship, Jim Buchanan Scholarship and Rita Marie Deering Scholarship; Jordan Hatcher, Fritz and Mary Glanville Benninghoven Memorial Scholarship, Jim Koepper Scholarship in Agriculture and K-State Transfer Academic Award; Danica Johnson, Elvon G. and Lydia E. Skeen Education Fund and K-State Alumni Association Legacy Scholarship; Dylan Kelsheimer, Kay Meggers-Siemens Corporation Management Scholarship; Christopher Mushrush, Albert J. Gehrt Memorial Scholarship Fund, Foundation Scholarship and Leroy and Gene Skoch Scholarship
Chautauqua County
Cedar Vale: Brett Champlin, Hal and Mary Siegele Scholars Fund and Transfer Achievement Award
Sedan: Paula Powell, Claude W. Shenkel Jr. First-Year Scholarship; Morgan Steward, First in Class Scholarship and Foundation Scholarship
Cherokee County
Columbus: Joseph Tillman, Dean A. and Jane Dillon Electrical Engineering Scholarship and Foundation for Engineering at Kansas State University Fund
Galena: Greyson Spriggs, Achievement Award and Damon Allen Memorial Scholarship Fund; Regan Wilson, Foundation Scholarship
Riverton: Sarah Jones, Transfer Achievement Award and Wilbur B. Tendick Scholarship
Weir: Logan Gideon, Mary Holton Seaton Scholarship, Smoky Hill LLC Scholarship and Verla Nesbitt Joscelyn Scholarship
Cheyenne County
Bird City: Craig Busse, Gladwin A. Read Memorial Fund; Ty Carmichael, Achievement Award and John and Pearl E. Bullock Scholarship
McDonald: Jessica Turner, Olive Reed Schafer and Robert T. Schafer Human Ecology Scholarship
St. Francis: Randee Grover, Elmer D. McCollum Scholarship and Leadership Scholarship; Casey Keller, Bartlett and West Inc. Civil Engineering Scholarship; Tyler Raby, Allison Army ROTC Scholarship; Logan Whitmore, Foundation for Engineering at Kansas State University Fund
Clark County
Ashland: Canaan Endicott, Achievement Award and Gayle Foster Alumni Club Scholarship; Benjamin Fox, Helen C. Schutte Memorial Scholarship; Cole Gardiner, David and Ruth Martin Farmhouse Fraternity Scholarship and Earl Clark Coulter Scholarship in Agriculture; Ransom Gardiner, C.W. Longinaker Memorial Scholarship and Taylor L. and Katherine C. Jones LMIC Scholarship; Kalee Krier, First in Class Scholarship, John and Dorothy Perrier Scholarship and Kelce Foundation Scholarships; Kara Reimer, Transfer Achievement Award; Abigail Spare, Foundation Scholarship
Englewood: Carl Clawson, Ken Boughton Judging Team Scholarship and Livestock and Meat Industry Council Fund;
Minneola: Garrett Stewart, Hal and Mary Siegele Scholars Fund and Transfer Achievement Award;
Protection: Steven Westrup, Ethel P. and Francis E. Carpenter Scholarship and K-State Transfer Academic Award
Clay County
Clay Center: Lindsay Adams, Danna Skipton Scholarship and Olive Reed Schafer and Robert T. Schafer Human Ecology Scholarship; Ryan Blake, Joseph B. and Leola A. Hoover Scholarship, Lee and Wanda Parr Memorial Scholarship, Memorial Scholarship and Ronald D. Stoffel Memorial Scholarship; Heidi Bohnenblust, Leslie W. Beckman and Edna L. Beckman Memorial Scholarship; Jenner Burch, Achievement Award; Allen Carlson, K-State Transfer Academic Award and Lewis G. Mickelson Scholarship; Holly Cooper, Achievement Award; Kinsey Coupal, Achievement Award and L.I.D. Mall Scholarship; Austin Ebert, Ethel P. and Francis E. Carpenter Scholarship and R. Newton Laughlin Scholarship; Tyler Meek, Chesapeake Energy Corporation Distinguished Scholars; Ryan Moos, Marion H. Pelton Scholarship; Evan Penner, First in Class Scholarship and Foundation Scholarship; Kassidy Simmons, Anna L. Steckelberg Memorial Scholarship in Dietetics and Nutrition; Abigail Sprague, Achievement Award; Darrin Yuhn, Carl Dorf Memorial Scholarship and Memorial Scholarship
Clifton: Jonathan Bechard, Ronald D. Stoffel Memorial Scholarship; Stephanie Brownell, Transfer Achievement Award
Green: Braden Richter, K-State Transfer Academic Award and Leslie W. Beckman and Edna L. Beckman Memorial Scholarship
Longford: Ryan Coulson, Lewis G. Mickelson Scholarship and Transfer Achievement Award; Alicia Jackson, Aileen Burkholder Crosman Scholarship and Leadership Scholarship
Wakefield: Briana Fowler, Business Administration Dean's Scholarship; Leah Loredo, Activity Scholarship, Cargill Project Impact Scholarships, Clay County Scholarship and Loan Fund, George E. Powell Scholarship for Physically Limited Students, Mary Ann Walker Memorial Scholarship and Memorial Scholarship; Alan Reinke, Foundation Scholarship; Brandon Taylor, Leadership Scholarship; Jesse Weir, Transfer Achievement Award; Emily Williams, Achievement Award; Laura Yarrow, Charles H. and Colene Henson Butler Education Scholarship, Doris Hays Fenton Memorial Scholarship, Elfrieda Nafziger Scholarship and Elvon G. and Lydia E. Skeen Education Fund
Cloud County
Clyde: Damian Cyr, Charles W. and Lois H. Nauheim 4-H Scholarship, Merle R. Siegele Memorial Scholarship and Ralph G. Nevins Memorial Fund; Michelle George, Business Administration Dean's Scholarship, Maurine C. Buller Academic Excellence Scholarship and Transfer Achievement Award; William Ohlde, Coach Ed Buller Memorial Scholarship, George A. and Esther Filinger Memorial Scholarship, Leadership Scholarship and Tillman Family Memorial Agriculture Scholarship; Dalton Porter, Achievement Award and Ralph and Dora Rogers Memorial Scholarship; Laura Rogers, Lynn E. Bussey Scholarship and Risk Management
Concordia: Gabriel Bergmann, Engineering Scholarships Fund; Morgan Berk, Agronomy Memorial Scholarship; Clay Boley, Achievement Award, Intermill Family Scholarship, K-State Alumni Association Scholarship and Opportunity Scholarship; Alyssa Champlin, Foundation Scholarship; Alyssa Champlin, Georganne Fowler Hiser Chemistry Scholarship and Midge and Hilary Wentz Scholarship; Christa Deneault, Arts and Sciences Undergraduate Research, Mary Lynn Staley Economics Scholarship and Transfer Achievement Award; Megan Frost, Doris D. Smith Memorial Scholarship and George A. and Helene Dean Olson Scholarship; Garet Koester, Gladwin A. Read Memorial Fund, Robert and Marjorie Tobald Memorial Scholarship in Agriculture and Stanley G. Wendland Memorial Scholarship; Luke Miranda, T.A. Mindrup Endowed Scholarship
Glasco: Madison Davis, George and Mary Gephart Scholarship; Elizabeth Tobald, K-State Music Advisory Council Scholarships, K-State Marching Band Scholarship, Margaret Roebke Ruccolo Music Orchestra Scholarship and Mildred E. Cummings Memorial Scholarship
Miltonvale: James Remley, Dean A. and Jane Dillon Electrical Engineering Scholarship
Coffey County
Burlington: Brecken Brown, June D. Hull Sherrid Cancer Center Scholarship and Education Fund and William and Mary E. Heaton Memorial Student Aid Fund; Alejandro Coria, Ethel P. and Francis E. Carpenter Scholarship, Frances Fyfe Scholarship and Memorial Scholarship; Hannah Henderson, K-State Alumni Association Scholarship; Kendra McVey, Eva B. Potter Memorial Scholarship in Home Economics; Mackenzie Payne, Achievement Award and Lewie E. Crandall Jr. Scholarship; Stephen Samuelson, Foundation Scholarship; Mary Wahlmeier, Foundation Scholarship; Ranie Wahlmeier, Foundation Scholarship, Marching Band Scholarship and Marching Pride Scholars; Drew Young, Foundation Scholarship
Le Roy: Travis Bryan, K-State Transfer Academic Award
Lebo: Haley Harrison, Foundation Scholarship; Elizabeth Hodges, Leslie W. Beckman and Edna L. Beckman Memorial Scholarship; Sarah Krueger, Goppert Foundation Scholarship in Agriculture, J. Howard Birkbeck Family Scholarship, Leadership Scholarship and Marching Pride Scholars; Bailee Norton, Edith and Harry Darby Endowment and Leadership Scholarship
New Strawn: Bryan Harkrader, K-State Marching Band Scholarship and Marching Pride Scholars
Waverly: Tamra Collins, Rick and Renay Martin Architecture Scholarship; Ethan Rice, Ed Morrison Jr. Milling Scholarship
Comanche County
Protection: Lauren Jarnagin, Ellis Foundation Scholarship Match and Telefund Scholarship
Cowley County
Arkansas City: Dylan Burroughs, Milton Z. Pelischek Scholarship; Abby Crow, Ruth Hoeflin Home Economics Scholarship; Joseph Descartes, Transfer Achievement Award; Joshua Gurnee, Achievement Award; Jacob Headrick, Transfer Achievement Award and Foundation Scholarship; Joshua Hunt, Fairchild Scholarship; Brooke Jackson, Agriculture Alumni Association Fund; Candace Kuecker, Katharin McQuillen Scholarship and Leadership Scholarship; Jacob McAfee, Foundation Scholarship, Paul Bartak Family Scholarship and Robert M. Kountz Scholarship in Engineering; Caitlynn McVey, Tillman Family Memorial Agriculture Scholarship and Transfer Achievement Award; Austin Pond, Foundation Scholarship and Ralph and Dora Rogers Memorial Scholarship; Joshua Schwartz, Memorial Scholarship; Halston Shaw, Activity Scholarship and Gayle Foster Alumni Club Scholarship; Jacob Silliman, Business Administration Scholarship and Memorial Scholarship; Rosemary Simmons, Helen C. Schutte Memorial Scholarship and K-State Transfer Academic Award; Lacey Tipton, BEMA Belshaw-Loeb Bakery Science Scholarship, C.S. Broeman Scholarship, Gerald and Barbara Sprong Endowed Scholarship, Memorial Scholarship and Transfer Achievement Award; Kendal Walton, Marching Pride Scholars and W.E. Long Scholarship; Lauren Welch, Dr. and Mrs. Frederick E. Emery Memorial Scholarship in Human Ecology
Moundridge: Kelby Green, Grace Dickman King Memorial Scholarship
Udall: Christopher Hall, Activity Scholarship, K-State Alumni Association Scholarship and Roy A. and Jean S. Shields Scholarships; Zachary Kratochvil, Achievement Award and K-State Alumni Association Legacy Scholarship
Winfield: Eli Camp, Business Administration Dean's Scholarship, K-State Alumni Association Legacy Scholarship, K-State Alumni Association Scholarship and Putnam Scholarship; Darcie Darby, Grace S. McCoy Scholarship; Jacob Dennett, K-State Alumni Association Scholarship and Putnam Scholarship; Caitlyn Dougherty, K-State Alumni Association Scholarship; Tori Fell, Activity Scholarship and K-State Alumni Association Scholarship; Tessa Podschun, K-State Alumni Association Scholarship; Emily Porter, Memorial Scholarship; Sarah Potter, College of Education Alumni Scholarship and Nancy W. and Charles R. Cole Education Scholarship; John Seitz, Arts and Sciences Fund for Excellence; Lauren Turner, Gayle Foster Alumni Club Scholarship, James E. McFee Scholarship and Leadership Scholarship; Carlee Wollard, Foundation Scholarship
Crawford County
Arma: Lucas Gorentz, Foundation for Engineering at Kansas State University Fund, Marching Pride Scholars and Mechanical Engineering Scholarship
Cherokee: Amanda McGuire, Telefund Scholarship; Bridget McGuire, Transfer Achievement Award; Natalie Timmons, Achievement Award and Marching Pride Scholars
Farlington: Kassie Curran, Ellis Foundation Scholarship Match and Risk Management; Keelie Curran, Agriculture Alumni Association Fund and Ellis Foundation Scholarship Match
Frontenac: Logan Falletti, Jaconette L. Tietze Memorial Scholarship
Girard: Megan Bennett, M. Hal and Janice J. Taylor Human Ecology Scholarship; Ben Coomes, Foundation Scholarship, Morgan Family International Study Scholarship and Todd A. Kintigh Memorial Scholarship; Bethany Schifferdecker, Agricultural Enhancement Fund, Ethel P. and Francis E. Carpenter Scholarship and Putnam Scholarship; Anissa Zagonel, Ellis Foundation Scholarship Match, Henry Van De Riet Memorial Scholarship, Lawrence H. Erpelding Scholarship, Leadership Scholarship and McDonald's Restaurants/Kansas Regents Honors Academy Scholarship
Hepler: Kolby Harris, Ellis Foundation Scholarship Match
Mccune: Caleb Egbert, Achievement Award and Leslie W. Beckman and Edna L. Beckman Memorial Scholarship
Mulberry: Makenzie Stansbury, Center on Aging Excellence Fund, Louise Rust Driggs Scholarship and Lucille E. Reitz Scholarship in Gerontology
Pittsburg: Ryan Hisey, Ellis Foundation Scholarship Match, First in Class Scholarship and Foundation Scholarship; Levi Karhoff, Ellis Foundation Scholarship Match; Adam Seiwert, Fairchild Scholarship; Joseph Wimmer, Global Education Initiative and Medallion Scholarship; Jonathan Wolfe, Ben C. Williams Memorial Scholarship, Cargill Project Impact Scholarships, Memorial Scholarship and W.E. Long Scholarship
Weir: Charles Kays, Gladwin A. Read Memorial Fund, Memorial Scholarship and Student Governing Association Leadership Award; Kenneth Kays, Dennis C. and Sally A. von Waaden Nationally and Internationally Competitive Scholars Program Fund, Flinchbaugh Agriculture Policy Scholarship, Fred and Virginia Merrill American Royal Association Scholarship, Koch Nitrogen Company Agriculture Economics Scholarship, Leadership Scholarship and Memorial Scholarship
Decatur County
Norcatur: Matthew Helm, Allison Army ROTC Scholarship and Col. Delbert Townsend Scholarship
Oberlin: Alexis Hissong, Col. Delbert Townsend Scholarship and Leadership Scholarship; Sierra Lohoefener, Col. Delbert Townsend Scholarship, Physics Department Excellence Fund and Putnam Scholarship; Jared Marcuson, Col. Delbert Townsend Scholarship; Hannah May, Gayle Foster Alumni Club Scholarship and Leadership Scholarship; Zachary May, Col. Delbert Townsend Scholarship and Frank L. Westerman Jr. Scholarship; Cassidy Shields, Col. Delbert Townsend Scholarship, College of Education Alumni Scholarship, Leadership Scholarship and Ohio Scholarship; Tyler Shields, Col. Delbert Townsend Scholarship; Nathan Simonsson, Kennedy and Coe LLC Scholarships in Accounting and Vruwink Accounting Scholarship
Selden: Macayla Easton, Foundation Scholarship, Gayle Foster Alumni Club Scholarship, June D. Hull Sherrid Cancer Center Scholarship and Education Fund and K-State Alumni Association Scholarship
Dickinson County
Abilene: Kyle Anderson, Charles E. (CAP) Wilson Scholarship, CHS University Scholarship, Feed Technology/Feedstuffs Scholarship, Leadership Scholarship and Kansas City Grain Elevator and Processing Society Scholarship; Mollie Barbee, Ellis Foundation Scholarship Match and Lois Mae and Charles H. Beasley Scholarship; Molly Burt, Gayle Foster Alumni Club Scholarship, June D. Hull Sherrid Cancer Center Scholarship and Education Fund, Putnam Scholarship and Roy C. Kreider Memorial Scholarship; Dakota Caldwell, George E. Mickelson Scholarship and T. Hobart and Marion Brown McVay Scholarship; Emily Harris, Gladwin A. Read Memorial Fund; Nicole Knox, Max M. Polk Scholarship; Reed Koop, Harold Swartley Agronomy Scholarship; Cody Lokken, June Roberts Scholarship; Lacey Lokken, Patricia Smith Serpan Pre-Physical Therapy Scholarship; Charday Long, Activity Scholarship and Fitzwater General Scholarship; Dylan McKee, Memorial Scholarship and Milton Z. Pelischek Scholarship; Sophia Pitney, Drake Bakeries Memorial Fund in Bakery Technology and Grain Science Centennial Initiative Fund; Grant Pratt, Transfer Achievement Award, Fairchild Scholarship, Gayle Foster Alumni Club Scholarship and James B. Hollinger Family Scholarship; Mackenzie Riffel, Achievement Award, Donna Sprinkel Roelfs Memorial Scholarship, Gladys Gugler Sandstrom Memorial Scholarship and James B. Hollinger Family Scholarship; Luke Snider, Biological and Agricultural Engineering Excellence Scholarship; Taylor Thompson, Annabel Eckert Peters Memorial Scholarship, Foundation Scholarship and K-State Alumni Association Scholarship; Janay Wilson, CoBank Outstanding Student Scholarship and Frank W. and Gwendolyn R. Jordan Scholarship in Agriculture; Thomas Yeager, Kenneth M. and Gladys M. Heywood Memorial Student Aid Fund and Memorial Scholarship; William Yeager, Herbert N. Stapleton Scholarship in Engineering; Sarah Zey, Cheryl McVicker Lewis Scholarship in Education and College of Education Alumni Scholarship
Carlton: Kristy Wilson, Dickinson County K-State Alumni Scholarship, James B. Hollinger Family Scholarship and Medallion Scholarship
Chapman: Spencer Anderson, Baeten Farm Scholarship; Deian Brooks, Cargill Project Impact Scholarships; Adrian Fink, Foundation Scholarship, Opportunity Scholarship and Robert H. and Edith M. Gump General Scholarship; Jared Gross, Biological and Agricultural Engineering Excellence Scholarship, F.C. Fenton Scholarship and Schroeder Scholarship in Engineering; Karl Janke, Ardent Mills Scholarship and John Alfred Koburger Scholarship; Patrick McElligott, Connor Burton Scholarships for Aviation, Connor Burton Scholarships for Aviation, Memorial Scholarship and T.A. Mindrup Endowed Scholarship; Jessica Woofter, Kansas Crop Improvement Association Scholarship, Lyall and Emma Rock Agriculture Scholarship and Todd A. Kintigh Memorial Scholarship
Enterprise: Russell Canter, Cessna Leadership Scholarship, Cessna Leadership Scholarship and Cessna Scholarship; Cole Gering, Educational Opportunity Fund
Herington: Chance Berndt, Business Administration Dean's Scholarship, Paul B. and Sandra M. Edgerley Business Administration Leadership Scholarship and Soaring with Eagles Scholarship
Hope: Andrew Dillon, Ray I. Throckmorton Scholarship; Raelyn Lorson, Oscar S. Stauffer Hope High School Scholarship; Glenn Morgan, A.W. Funks' Memorial Scholarship, Robert Jay Kissick Memorial Scholarship and Verla Nesbitt Joscelyn Scholarship; Jenny Whitehair, Brian E. Vining Agronomy Scholarship
Ramona: Tanner Brunner, K-State Rodeo Club Endowed Scholarship
Solomon: Lydia Brundage, Foundation Scholarship and Megan Elizabeth Taylor Memorial Scholarship in Modern Languages; Tyndol Brundage, F. Charles and Kay Lamphear Agriculture Scholarship, Foundation Scholarship and Frank W. and Gwendolyn R. Jordan Scholarship in Agriculture; Rachel Werling, First in Class Scholarship and Medallion Scholarship
Woodbine: Jordyn Barten, Oscar S. Stauffer Hope High School Scholarship
Doniphan County
Bendena: Ian Bollinger, Achievement Award; Nicholas Johnson, George and Hila Parsons Scholarship; Luke Rush, K-State Alumni Association Scholarship, Leadership Scholarship and Tillman Family Memorial Agriculture Scholarship
Highland: Jacob Halling, Denison Scholarship; Katherine Rush, Norma Mae Waterman Memorial Scholarship and Virginia N. Gibson Scholarship; Laura Rush, K-State Transfer Academic Award; Scotti Twombly, Achievement Award
Severance: Jonathan Allen, Honors Scholarship and Rathbone Scholarship Fund
Troy: Olivia Bennett, Betty Hinshaw Gutru Scholarship in Human Ecology, Hazel M. Riggs Scholarship Fund and Mr. and Mrs. Andres Pearson Memorial and Leadership Scholarship; Peter Masters, AGCO Engineering Scholarship and Charles D. Fulhage Memorial Scholarship; Katie Smith, Achievement Award
Wathena: Caelan Blair, Achievement Award, Gayle Foster Alumni Club Scholarship and K-State Alumni Association Legacy Scholarship; Brady Hoffman, Coonrod Memorial Civil Engineering Scholarship; Drew Hoffman, Achievement Award, K-State Alumni Association Scholarship and Tillman Family Memorial Agriculture Scholarship; Derek Nold, Achievement Award
Douglas County
Baldwin: Eleanor Parr, College of Business Administration Rob and Denise Schneider Leadership Scholarship and Leadership Scholarship; Tayler Christian, Ann McKee Regnier Scholarship for Sociology; Austin Jackman, Fairchild Scholarship and K-State Rodeo Club Endowed Scholarship; Michaela Krysztof, M. Louisa Ziller Memorial Scholarship in Home Economics; Ariana Mihesuah, Jennie Irene and Gene Snell Scholarship and Memorial Scholarship; Taylor Stackley, Patricia J. O'Brien Scholarship Award in Archaeology; Elena Watson, "Red" Web Sproul Memorial Scholarship, Engineering Scholarships Fund, Foundation Scholarship, Glenn W. and Percy Davis Scholarship, Megan Elizabeth Taylor Memorial Scholarship in Modern Languages and Memorial Scholarship
Eudora: Jacob Beck, Telefund Scholarship; Alexandra Bock, Achievement Award and Kent W. Cropp Memorial Scholarship; Molly Brunton, Homeland Security-STEM Career Development Grant; Samantha Carpenter, Joseph T. and Ann L. Davis Memorial Scholarship, K-State Alumni Association Scholarship and Memorial Scholarship; Zachary Elliott, Achievement Award; Kaitlyn Heier, Aubrey E. and Jewel L. Bilger Scholarship; Brett Hevel, CCA Correctional Solutions Scholarship; Matthew Kelso, Jules H. Robert Memorial Scholarship, Leadership Scholarship, Marching Pride Scholars, T. Hobart and Marion Brown McVay Scholarship and Ivan and Madge Strickler Scholarship; Sophia Lehmann, K-State Alumni Association Legacy Scholarship, K-State Alumni Association Scholarship and Medallion Scholarship; Victoria Lehmann, Foundation Scholarship and K-State Alumni Association Legacy Scholarship; Erik Russell, K-State Marching Band Scholarship and Marching Pride Scholars; Tyler Winters, Baeten Farm Scholarship and Medallion Scholarship; Shelby Younkin, K-State Alumni Association Scholarship
Lawrence: John Arensberg, K-State Alumni Association Scholarship and Lawrence Area Catbackers Scholarship; Levi Baker, Medallion Scholarship; Daina Bitters, Educational Opportunity Fund and Maurine Allison O'Bannon Memorial Scholarship; Allison Burgess, Lawrence Area Catbackers Scholarship; Craig Butler, Cheryl Stoney Memorial Multicultural Education Scholarship; Jacob Caldwell, Business Administration Dean's Scholarship; Daniel Clausing, Carl E. Olson Memorial Scholarship, Francis Wendell Beichley Scholarship, Ko-Fang H. Ku Memorial Scholarship and Leadership Scholarship; Jonathan Darnall, Cargill Project Impact Scholarships; Nicole Delimont, Timothy R. Donoghue Graduate Scholarship; Charlotte Denning, LeVelle Wood Scholarship Fund and Max C. and Autumn F. Farrar Memorial Scholarship; Ashlyn Evans, Anna M. Brent Scholarship; Tanna Fanshier, Foundation Scholarship and June D. Hull Sherrid Cancer Center Scholarship and Education Fund; Christopher Gaston, Jeanne M. and Edward J. Mulcahy Scholarship and Ralph and Dora Rogers Memorial Scholarship; Brooke Glasnapp, First in Class Scholarship, Medallion Scholarship and Patricia M. Haines Scholarship; Austin Green, Foundation for Engineering at Kansas State University Fund, Foundation Scholarship and Warren and Mary Lynn Staley Engineering Excellence Scholarship; Sarah Haley, Student Governing Association Leadership Award; Amber Harvey, Memorial Scholarship; Harrison Helmick, American Society of Baking Scholarship; Nathan Herrman, Milton Z. Pelischek Scholarship; Alexandra Hilliard, Memorial Scholarship; Joshua Hodge, Medallion Scholarship; Benjamin Jacobs, Medallion Scholarship; Emma Kelly, Goppert Foundation Scholarship in Agriculture and Medallion Scholarship; Lindsay Kelly, K-State Alumni Association Scholarship; Anna Kleibohmer, Easborn and Esther H. Rusco Memorial Scholarship, K-State Alumni Association Scholarship and Putnam Scholarship; Kelly Kristiansen, Elvon G. and Lydia E. Skeen Education Fund and Foundation Scholarship; Kerrie Leinmiller-Renick, Arts and Sciences Fund for Excellence; Jaclyn Long, Achievement Award, Executive Mentorship Program, MIS Club Scholarship, Phillips 66 Shield Scholars Award Fund; Jaclyn Long, Rebecca Jane Trible Memorial Scholarship and Ted and Helene Varney Business Administration Award; Ella Magerl, Foundation Scholarship; Molly McCord, Leadership Scholarship and Ralph W. Reb Endowed Scholarship; Cecily McCoy, Memorial Scholarship; Anna Meissbach, Foundation Scholarship; Paul Meissbach, Friends of Kansas State Choirs, K-State Music Advisory Council Scholarships, K-State Singers Scholarship and Kansas State University Chapter, Blue Key Scholarships; Meredith Morris, First in Class Scholarship, Foundation Scholarship, K-State Alumni Association Legacy Scholarship, K-State Alumni Association Scholarship and Lawrence Area Catbacker's Scholarship; Kaitlyn Mosher, Arts and Sciences Fund for Excellence and John C. Peterson Scholarship; Joshua Myers, Ralph and Dora Rogers Memorial Scholarship; Matthew Myers, Medallion Scholarship and Richard and Jane Thiessen Business Administration Scholarship; Laura Neilsen, Putnam Scholarship; Hannah Oberrieder, Catherine Hardin Tendick Scholarship; Joshua Peterson, Harold D. Grothusen Scholarship, K-State Marching Band Scholarship and Marching Pride Scholars; Clayton Pfeifer, Foundation Scholarship; Kara Resseguie, Lee Jackson Memorial Voice Scholarship; Megan Robinson, Gladys Lichty Memorial Scholarship; Megan Robinson, K-State Alumni Association Scholarship; Karen Schneck, Achievement Award, Gayle Foster Alumni Club Scholarship and Robert Weese Scholarship Fund; Brogan Scott, K-State Alumni Association Scholarship; Gabriela Serrano, Arts and Sciences Fund for Excellence and Dr. Joan Aldous Scholarship Fund; Bradley Shields, Activity Scholarship; Anastasia Slough, Robert James Abell Memorial Scholarship and Gallaher Forestry Scholarship; Mallory Thompson, Foundation Scholarship and Olive Reed Schafer and Robert T. Schafer Human Ecology Scholarship; Jamie Wilson, Foundation Scholarship and Lisa Hale Scholarship; Madeline Woodard, Gayle Foster Alumni Club Scholarship and Leadership Scholarship; Megan Workman, Fairchild Scholarship
Lecompton: Kourtney Foley, Leadership Scholarship; Kaylee Visser, Ellis Foundation Scholarship Match, Ethel P. and Francis E. Carpenter Scholarship and Leadership Scholarship; Danielle Winchester, Jimmy V. and Lucile A. Hoar Memorial Scholarship
Tecumseh: Connor Kraus, "Cap" Ryan Scholarship and Neva E. Babcock Scholarship
Wellsville: Justin Prough, Foundation Scholarship, Merrill R. Edelblute Memorial Scholarship and Silvius Family Scholarship in Agriculture
Edwards County
Haviland: Courtney Schultz, John and Elizabeth Oswald Scholarship
Kinsley: Domonique Marquez, Foundation Scholarship and June D. Hull Sherrid Cancer Center Scholarship and Education Fund; Kristin Stiebe, Gladys Lichty Memorial Scholarship, Keith and Marian Mull Scholarship and K-State Alumni Association Scholarship
Lewis: Clara Cross, Achievement Award and Air Force Captain William L. Schultz Memorial Scholarship in Agriculture; Michael Kennedy, Jon Levin K-State Student Union General Scholarship
Macksville: Simon Miller, Achievement Award, Keith and Marian Mull Scholarship and Leslie W. Beckman and Edna L. Beckman Memorial Scholarship
Offerle: Laurin Wagner, Leadership Scholarship
Elk County
Howard: Kelsey Kendall, Andrea Glenn Journalism Scholarship and Leadership Scholarship
Moline: Carson Jennings, First in Class Scholarship, Foundation Scholarship and K-State Alumni Association Scholarship
Ellis County
Ellis: Ashleigh Bunker, Business Administration Dean's Scholarship, Kay Meggers-Siemens Corporation Management Scholarship and Leadership Scholarship; Scott Pfeifer, Achievement Award; Scott Pfeifer, First in Class Scholarship and Richard and Nadith Reinhardt Family Scholarship; Jessica Wheeler, Arts and Sciences Fund for Excellence and W. Mack Barlow Memorial Award; Megan Zeman, Achievement Award
Hays: Kaden Beilman, Foundation Scholarship and K-State Alumni Association Scholarship; Laura Braun, Transfer Achievement Award; Rachel Cunningham, Arts and Sciences Undergraduate Research; Stephen Debes, Eddie R. Fowler Scholarship and Western Chapter of Missouri Society of Professional Engineers Auxiliary Scholarship; Trey Desaire, Ellen L. Flottman Transfer Student Scholarship in Human Ecology; Jena Ernsting, Elizabeth and William Henry Hinshaw Memorial Scholarship in Agriculture and Jimmy V. and Lucile A. Hoar Memorial Scholarship; Mikaela Flax, Achievement Award and J Franklin and Carolyn Keller Scholarship; Jared Gabel, Foundation Scholarship; Zoey Gubitoso, Donald D. Volker Memorial Scholarship Fund, Fairchild Scholarship and Richard and Jane Thiessen Business Administration Scholarship; Taylor Herman, Grace Dickman King Memorial Scholarship and Leadership Scholarship; Courtney Hess, Grace Dickman King Memorial Scholarship and Neva E. Babcock Scholarship; Anna Hickert, Baeten Farm Scholarship and Transfer Achievement Award; Cora Jaeger, Elvon G. and Lydia E. Skeen Education Fund; Brady Kenton, June D. Hull Sherrid Cancer Center Scholarship and Education Fund; Breanne Kruse, First in Class Scholarship, Foundation Scholarship and Tommy L. and Ann Denise Smith Scholarship; Zachary Kuntz, Archie R. and Dorothy E. Hyle Engineering Scholarship, Foundation Scholarship, Ivy Fuller Olds Scholarship in Military Science and Ralph and Dora Rogers Memorial Scholarship; Mark Mathis, Foundation for Engineering at Kansas State University Fund; Rachel Palmberg, K-State Marching Band Scholarship; Allison Pfeifer, Dale Edwin and Nadean Joyce Zabel Engineering Scholarship and Steve and Linnea Kirchhoff Engineering Scholarship; Tanner Pfeifer, Fairchild Scholarship and K-State Alumni Association Scholarship; Ayrton Pittman, Ralph and Dora Rogers Memorial Scholarship; Jill Pokorny, Foundation Scholarship; Michael Schulte, Gayle Foster Alumni Club Scholarship, K-State Alumni Association Scholarship and Putnam Scholarship; Anna Shippy, K-State Alumni Association Legacy Scholarship, Leadership Scholarship, Mamie Alexander Boyd Memorial Journalism Scholarship and Ronald and Ellen Warren Scholarship, James J. Albracht Memorial Scholarship, Postier Family Agricultural Scholarship and Kimberly Kurtz Memorial Scholarship; Emily Staab, Medallion Scholarship; Kassidy Stecklein, Foundation Scholarship; Jessica Stoecklein, Gayle Foster Alumni Club Scholarship and K-State Alumni Association Scholarship; Emilie Taylor, Leadership Scholarship and Tomorrow's Teacher Scholarship; Hayley Taylor, Kinesiology Scholarship Fund, Eva Lyman Memorial Scholarship and William and Mary E. Heaton Memorial Student Aid Fund; Jillian Taylor, Business Administration Dean's Scholarship and Transfer Achievement Award; Cory Thyfault, Cereal Food Processors David F. Mattson Scholarship; Lacey Unrein, Helen Ensign McManis Housing and Dining Scholarship in Human Ecology; Allison Vahling, A. B. and Sarah Mildred Woody Scholarship, Ellen L. Flottman Transfer Student Scholarship in Human Ecology and Leadership Scholarship; Jaclynn Ward, Florence Funk Kirton Memorial Scholarship, Foundation Scholarship and Margaret M. Justin Class of 1909 Scholarship; Ross Werth, Engineering Scholarships Fund
Victoria: Amanda Braun, Foundation Scholarship, Tomorrow's Teacher Scholarship and Tutors Make a Difference; Rylee Broyles, Gayle Foster Alumni Club Scholarship and Leadership Scholarship; Tayla Geist, College of Education Alumni Scholarship and Woodhull Family Education Scholarship
Ellsworth County
Brookville: Tristan Ptacek, Medallion Scholarship; William Son, Bank of Tescott Scholarship, Salina Tuition Scholarship and Verla Nesbitt Joscelyn Scholarship
Bushton: Trey Heitschmidt, Edward Arthur Harris and Lydia Catherine McNeal Harris Scholarship
Ellsworth: Corbin Janssen, Fern and Bernell Schneider Memorial Scholarship for Teacher Training; Matthew Keener, Foundation Scholarship; Kyle McCoy, Heritage Award; Robert Murrell, Achievement Award; Noah Trapp, Arts and Sciences Fund for Excellence and June D. Hull Sherrid Cancer Center Scholarship and Education Fund; Nicole Whitmer, Andy and Cynthia Carswell Galyardt Family Scholarship, Calvin Kruse Scholarship and Memorial Scholarship; Shane Wilson, Transfer Achievement Award
Holyrood: Joseph Barton, Virgil R. Moen Memorial Scholarship; Jared Langston, Cessna Leadership Scholarship
Lorraine: Audrey Boeken, Chester A. Wismer Scholarship and Foundation Scholarship; Alicia Grover, Cargill Project Impact Scholarships; Ty Nienke, First in Class Scholarship, Foundation Scholarship and Jim Buchanan Scholarship
Wilson: Emily Beneda, Deschner Family 21st Century Leaders Scholarship and Foundation Scholarship; Justine Dlabal, College of Education Alumni Scholarship and Tomorrow's Teacher Scholarship
Finney County
Garden City: Lesly Alcantar, Bill Gardiner Memorial Scholarship and Memorial Scholarship; Abigail Alsop, Foundation Scholarship and June D. Hull Sherrid Cancer Center Scholarship and Education Fund; Rachel Anliker, Elizabeth and William Henry Hinshaw Memorial Scholarship in Agriculture, Jimmy V. and Lucile A. Hoar Memorial Scholarship, K-State Alumni Association Legacy Scholarship and K-State Alumni Association Scholarship; Rebekah Anliker, Marion Herfort Pelton Music Scholarship Fund; Linda Bilberry, Charles W. and Lois H. Nauheim Agricultural Economics Scholarship, CHS University Scholarship and Ellis Foundation Scholarship Match; Jeffery Bogner, First in Class Scholarship, Foundation Scholarship, K-State Alumni Association Scholarship, Mr. and Mrs. Harry Wylie Memorial Scholarship and Western Kansas Manufacturers Association Scholarship; Maria Calvillo, Memorial Scholarship; Thuy Cao, R. Kenneth Burkhard Scholarship for Women in Biochemistry; Brett Carmichael, Transfer Leadership Scholarship; Maribel Carrillo, Alianza, Judith Cain Scholarship, Megan Elizabeth Taylor Memorial Scholarship in Modern Languages, Memorial Scholarship and Wilma Johnston and Jean Hollis Modern Language Scholarship; Rachel Collins, College of Education Alumni Scholarship; Julie Damian, Business Administration Dean's Scholarship, Cargill Project Impact Scholarships, Global Education Initiative, Kendall Scholarship for Overseas Experience, Koch Impact Scholarships and Memorial Scholarship; Luke Dinkel, David Shrack Lambda Chi Alpha Memorial Scholarship; Allison Doll, Activity Scholarship and K-State Alumni Association Scholarship; Jeremy Ensz, Medallion Scholarship and Tointon Family Scholarship; Cesar Flores, Memorial Scholarship; Efren Frayre, Business Administration Dean's Scholarship, Ellis Foundation Scholarship Match, Executive Mentorship Program, First Scholars Operations and Administration, Koch Impact Scholarships, Leadership Scholarship, Memorial Scholarship and Stuart Leighty Business Scholarship; Roberto Gallegos, John and Dorothy Perrier Scholarship and Memorial Scholarship; Eddy Gomez, Memorial Scholarship and Ralph and Dora Rogers Memorial Scholarship; Shaina Griggs, Martha L. Dunlap Memorial Scholarship; Christina Guzman, Memorial Scholarship; Rene Hernandez, Cargill Project Impact Scholarships and Kendall Scholarship for Overseas Experience; Emily Herrada, Charles W. and Diane M. Newcom Scholarship and Memorial Scholarship; Jacob Law, Medallion Scholarship and Tim Lim Undergraduate Scholarship in Agriculture; Deanna Milligan, Donald R. Hill Scholarship in Political Science and Foundation Scholarship; Jessica Nicholson, Etna King Pilcher Memorial Scholarship, Foundation Scholarship, Fred and Kathy White Industrial Engineering Scholarship and Ralph and Dora Rogers Memorial Scholarship; Sydell Paul, William and Melissa Harold Memorial Scholarship; Soledad Pena, Memorial Scholarship and Patricia Ann (Coffin) Fowler Scholarship; Matthew Pfeifer, College of Education Alumni Scholarship and College of Education Development Council Scholarship; Thuan Quach, Memorial Scholarship; Amanda Ramirez, Arts and Sciences Fund for Excellence and Memorial Scholarship; Sarah Ramsey, Achievement Award, Bernard I. and Caroline N. Melia Scholarship in Agriculture and James W. and Dorothea K. Shaw Memorial Scholarship; Paloma Roman, Hervey A. Feldman Memorial Scholarship and Memorial Scholarship; Paige Russell, Patricia Ann (Coffin) Fowler Scholarship; Alisia Saucedo, Activity Scholarship and Memorial Scholarship; Kaylee Seyferth, Achievement Award; Kelsey Steward, Dennis and Linda Law Scholarship in Landscape Architecture; Braden Taylor, Coonrod Memorial Civil Engineering Scholarship and Memorial Scholarship; Kaydee Tran, K-State Transfer Academic Award; Samantha Trejo, Memorial Scholarship and Ralph and Ruthana Lashbrook Scholarship; Alexandria Trujillo, John and Dorothy Perrier Scholarship and Memorial Scholarship; Joshua Welch, Arts and Sciences Undergraduate Research, Engineering Scholarships Fund, Transfer Achievement Award and Wiegers Family Electrical and Computer Engineering Scholarship; Trace Woods, Fairchild Scholarship, First in Class Scholarship and Ray L. and Grace Currin Smith Scholarship
Holcomb: Gabriela Armendariz, Foundation for Engineering at Kansas State University Fund, Koch Impact Scholarships, Memorial Scholarship, Peggy Ann Clark Memorial Scholarship and William R and Mila Kimel Engineering Scholarship; Nolan Gaede, Gordon and Joyce Goering Engineering Scholarship and K-State Alumni Association Legacy Scholarship; Skyler Glenn, John and Dorothy Perrier Scholarship and Transfer Achievement Award; Nicholaus Herrmann, Shoemaker-Burson Scholarship; Micheal Pepper, Foundation for Engineering at Kansas State University Fund; Chloe Pfeifer, Leadership Scholarship and Patricia Ann (Coffin) Fowler Scholarship; Corey Roth, F.A. Dawley Scholarship Fund, K-State Alumni Association Scholarship and Memorial Scholarship; Taylor Rush, Eva B. Potter Memorial Scholarship in Home Economics; Nicole Sabourin, Brack and Associates Consulting Engineers Scholarship, Don I. and Karen Kinney Norton Architectural Engineering Scholarship, I.E. Thorson Fellowship, Sallie Peterson Humbert Memorial Scholarship and Wayne Karl Memorial Scholarship in Engineering; Jorge Salamanca, Memorial Scholarship; Brittney Underwood, Gayle Foster Alumni Club Scholarship and Memorial Scholarship; Ryan Wilson, Kennedy and Coe LLC Scholarships in Accounting
Ingalls: Kayla Wehkamp, Biological and Agricultural Engineering Excellence Scholarship
Ford County
Bucklin: Megan Hood, John H. Tietze Scholarship; Darja Meskin, Foundation Scholarship; Darja Meskin, Nancy Landon Kassebaum Scholarship; James Minnis, Bella Marie Baldwin Memorial Scholarship Fund
Dodge City: Alonso Acevedo, Memorial Scholarship; Eduardo Acosta, Memorial Scholarship; Eric Acosta, Memorial Scholarship; Priscila Aguero Ramirez, Alianza, Business Administration Dean's Scholarship and Transfer Achievement Award; Andrew Alexander, Fern M. Osterhout Scholarship in Human Ecology; Joshua Austin, Arts and Sciences Undergraduate Research, Foundation Scholarship and Lewis A. and Opal D. Gugliemelli Memorial Scholarship in Chemistry; Cristabell Bernadac, Judith Cain Scholarship, Memorial Scholarship and Transfer Achievement Award; Kennedy Burks, Gayle Foster Alumni Club Scholarship; Miranda Burns, Herbel College of Business Scholarship; Jennifer Delzeit, Arts and Sciences Fund for Excellence and Marie and Raymond C. Long Scholarship; Brett Eichman, K-State Music Advisory Council Scholarships, Marching Pride Scholars and Phillip W. Hewett Marching Band Alumni Scholarship; Talia Falcon, Marching Pride Scholars; Eddie Garcia, Memorial Scholarship; Brittany Goetz, C. Q. Chandler III Business Administration Scholarship; Adriana Hernandez, K-State Transfer Academic Award; Matraca Hutton, Bramlage Willcoxon Student Teacher Scholarship; Danielle Jones, Arts and Sciences Fund for Excellence, Dr. John P. Noonan Scholarship in Humanities and Megan Elizabeth Taylor Memorial Scholarship in Modern Languages; Kate Lock, Clayton R. Rock Memorial Scholarship, Kennedy and Coe LLC Scholarships in Accounting and Maurice "Buzz" Stark Accounting Scholarship; Eleazar Lopez, Dean A. and Jane Dillon Electrical Engineering Scholarship, Fairchild Scholarship, Melvin G. Peterson Memorial Scholarship, Memorial Scholarship and Nelson Y.N. Wang Memorial and John Y.A. Chiang Scholarship; Miguel Lopez, Cessna Leadership Scholarship, Memorial Scholarship, Sunflower Bank Scholarship and Transfer Achievement Award; Damian Loya, Foundation Scholarship, Koch Impact Scholarships and Memorial Scholarship; Armando Marquez, Dean A. and Jane Dillon Electrical Engineering Scholarship, Foundation for Engineering at Kansas State University Fund, Memorial Scholarship and Transfer Achievement Award; Emma Miller, Foundation Scholarship; Tanner Miller, Ellis Foundation Scholarship Match; Ashton Moore, Boot Hill K-State Alumni Scholarship and Memorial Scholarship; Kylie Newton, Lewis, Hooper and Dick LLC Scholarship in Accounting; Kylie Newton, Ronald and MaryAnn Johnson Accounting Scholarship; Zachary Norton, Transfer Achievement Award; Anthony Reardon, Norma Mae Waterman Memorial Scholarship; Larry Rodriguez, Arts and Sciences Undergraduate Research and Memorial Scholarship; Katelyn Salmans, Bernard I. and Caroline N. Melia Scholarship in Agriculture and John and Dorothy Perrier Scholarship; Austin Savage, K-State Alumni Association Scholarship; Rebekah Shirley, Leadership Scholarship, Lorin and Virginia Wood and Kenney and Eva Ford Scholarship and Vivian St. Clair Scholarship in Human Ecology; Jami Stecklein, Helen C. Schutte Memorial Scholarship and K-State Alumni Association Scholarship; Arrin Tieben, Fairchild Scholarship and K-State Alumni Association Scholarship; Brayden Whitaker, K-State Marching Band Scholarship and Marching Pride Scholars; Cale Woydziak, Ellis Foundation Scholarship Match; Michael Zuniga, Achievement Award and Edgerley-Franklin Urban Leadership Scholarship
Minneola: Jacob Dreiling, Stan Ehler Agronomy Scholarship
Spearville: Frank Sandoval, McCown Gordon Construction Science Scholarship and Memorial Scholarship
Wright: Ashley Fischer, John and Dorothy Perrier Scholarship and Transfer Achievement Award
Franklin County
Greeley: Madison Blevins, Achievement Award and Joseph T. and Ann L. Davis Memorial Scholarship;
Ottawa: Shelbi Allen, Luther and Ruth Leavengood Scholarship; Kaitlyn Barnes, F. Douglas Dale Agricultural Engineering Scholarship, Foster L. and Viola L. Pickett Land Conservation Scholarship and Leadership Scholarship; Gabrielle Bowers, K-State Alumni Association Scholarship and Leadership Scholarship; Stephanie Brands, Achievement Award and K-State Alumni Association Scholarship; Cody Croucher, Mark C. Nyquist Construction Science Scholarship and P1 Group Construction Science Scholarship; Danielle Depriest, Cargill Project Impact Scholarships, Housing Leadership Award, Leadership Scholarship and Silvius Family Scholarship in Agriculture; Andrew Fangman, Charles R. and Nancy W. Cole Engineering Scholarship and Dean A. and Jane Dillon Electrical Engineering Scholarship; Kali Hinman, ACS-Hach Land Grant University Scholarship; Allison Howard, First in Class Scholarship; Madison Lancaster, Achievement Award and K-State Alumni Association Scholarship; Tyler Lutz, Transfer Achievement Award; Tabitha McPheron, Foundation Scholarship; MaKenna Miller, Fairchild Scholarship; McKayla Peelen, Business Administration Dean's Scholarship; Hunter Peoples, Charles Dean and Harriet McNeal Memorial Scholarship and Silvius Family Scholarship in Agriculture; Jillian Prather, Achievement Award and Ralph and Dora Rogers Memorial Scholarship; Robert Quinn, College of Arts & Sciences Dean's Discretionary Funding Revenue Fund and Global Campus Scholarship for Distance Education; Alex Reed, Foundation Scholarship; Nathan Selman, Sid and Susy Reitz Scholarship and T.A. Mindrup Endowed Scholarship; Sara Soph, Achievement Award; Vincent Sylvester, Putnam Scholarship; Daniel White, Gayle Foster Alumni Club Scholarship, K-State Alumni Association Scholarship, Medallion Scholarship and Student Opportunity Awards: K-State Proud; Brianna Yates, Achievement Award, Fay and Ship Winter Scholarship and Gayle Foster Alumni Club Scholarship
Pomona: Melissa Evans, June D. Hull Sherrid Cancer Center Scholarship and Education Fund; Storm Jackson, Ralph and Dora Rogers Memorial Scholarship; Pamela Kane, First Scholars Program-Suder Foundation Scholarships and Silvius Family Scholarship in Agriculture
Princeton: Tristan Davis, Activity Scholarship, Fay and Ship Winter Scholarship and K-State Alumni Association Scholarship; Wade Davis, College of Education Alumni Scholarship and Leadership Scholarship; Cole Sheldon, Medallion Scholarship and Proud to be a Wildcat Scholarship
Rantoul: Jessica Smith, Bramlage Willcoxon Student Teacher Scholarship
Richmond: Amber Schaefer, Achievement Award; Jared Schaefer, CyberCorps Scholarship for Service and Transfer Achievement Award; Amber Thompson, K-State Rodeo Club Endowed Scholarship; Cecilia Wuertz, Foundation Scholarship, June D. Hull Sherrid Cancer Center Scholarship and Education Fund and Mark A. Chapman Scholars Program
Wellsville: Chase Bouse, Activity Scholarship and Wingert Scholarship Award; Cassie Enright, Wingert Scholarship Award
Geary County
Fort Riley: Andrea Benge, K-State Transfer Academic Award and Weary Art Scholarship; Jared Brown, Achievement Award; Hannah Campbell, Transfer Achievement Award; Marcia Carlson, Crosby Family Education Scholarship and Transfer Achievement Award; Sara Devine, Charles P. Setterquist and Doris M. Setterquist Scholarship and Doug and Pat Tippin Education Scholarship; Karissa Hammock, Transfer Achievement Award; Amber Kunz, Business Administration Dean's Scholarship and W.F. and Lucille Farrell Scholarship Fund; Cindy Nystrom, Human Ecology Telefund Fund and Memorial Scholarship; Carlee Padgett, Transfer Achievement Award; Sarah Pendell, Transfer Achievement Award; Melissa Riley, Fairchild Scholarship, James B. Hollinger Family Scholarship and Memorial Scholarship; Kierra Stokes, Memorial Scholarship; Holly Townsend, Foundation Scholarship; Melissa Wible, Transfer Achievement Award
Junciton City: Matthew Olson, Garmin Electrical and Computer Engineering Scholarships; Paige Altwegg, Activity Scholarship and K-State Alumni Association Scholarship; Samuel Austin, Martin Luther King Memorial Fund; Alyssa Baquero Garcia, Medallion Scholarship and Memorial Scholarship; Jace Beavers, Ernest L. McLain Scholarship in Mechanical Engineering and Transfer Achievement Award; Marissa Biggs, College of Architecture, Planning & Design GLMV Architecture Wildcat Scholarship, Leadership Scholarship and Memorial Scholarship; Cailin Booher, Lynn and Hazel Russell Memorial Scholarship; Ashley Bowers, Fairchild Scholarship; Anna Boyer, Foundation Scholarship; Brad Brackin, Eugenia Fairman McNall Award Fund; Hannah Byun, Memorial Scholarship and Roger A. Diekmann STEM Scholarship; Matthew Champagne, Medallion Scholarship; Zachary Cooper, Cargill Project Impact Scholarships; Alexus Cummings-Cook, Memorial Scholarship; Chandler Custer, Business Administration Dean's Scholarship, Leadership Scholarship, Mr. and Mrs. William G. Freeman Memorial Scholarship and Terry Suzanne "Speed" and James King Foster Scholarship in Business Administration; Gary Davis, Memorial Scholarship; Kathleen DelaCruz, Memorial Scholarship; Camilia Epa, Baeten Farm Scholarship and Denison Scholarship; Jensine Ernacio, Beverly A. and Morris M. Greenwood Education Scholarship and Memorial Scholarship; Christina Flowers, Activity Scholarship and Memorial Scholarship; Sabrina Flowers, Women's Studies Scholarship and Awards Fund; Kyle Foerschler, College of Education Alumni Scholarship and Roger A. Diekmann STEM Student Teacher Scholarship; Joshua Fuentes, Memorial Scholarship; Jamella Gail Garay, K-State Transfer Academic Award; Courtney Goetsch, Finance Advisory Board Scholarship and Sanders Finance Scholarship; Ashley Goudey, Olive Reed Schafer and Robert T. Schafer Human Ecology Scholarship; Kyle Gowen, Arts and Sciences Fund for Excellence and Shirley L. Olson Memorial Scholarship; Kristen Graham, Memorial Scholarship; Mya Gray, Transfer Leadership Scholarship; Brianne Hagemeister, Achievement Award and Memorial Scholarship; Brittany Haynes, Jimmy V. and Lucile A. Hoar Memorial Scholarship; Joshua Haynes, James B. Hollinger Family Scholarship and Leadership Scholarship; Cheryl Henderson, Transfer Achievement Award; Chance Henney, Putnam Scholarship; Dominique Humphreys, K-State AVID Scholarship; Joaquin Jacquez, Engineering Scholarships Fund, Koch Impact Scholarships and Memorial Scholarship; Jamie Jones, Anita K. Laurent Scholarship in Human Ecology, Glen O. and Charlene Schwandt Memorial Scholarship Fund and Memorial Scholarship; Megan Katt, Phebe Bissell Memorial Scholarship in Human Ecology; McKenna Kelly, Garmin Electrical and Computer Engineering Scholarships; Angelique Kepler, Memorial Scholarship; Gage Knudson, Baeten Farm Scholarship; Alec Madrigal, Memorial Scholarship; Alivia Magana, Charles William Hugo Scholarship; Jennifer Masker, Achievement Award; Steven Matthews, Medallion Scholarship; Linda McCallister, Memorial Scholarship; Sarah McMillin-Beckman, Arts and Sciences Fund for Excellence and Irvin R. Ricklefs Memorial Scholarship; Jubilee McMinn, Memorial Scholarship; Aleida Mejia, K-State Transfer Academic Award; Luis Mejia, Memorial Scholarship; Emilia Mendiola-Walsh, Achievement Award; Telisa Molina, Memorial Scholarship; John Nelson, Strategic Planning and Policy; Noel Nieto, Jane E. Roether Memorial Scholarship and Memorial Scholarship; Megan Nolan, Memorial Scholarship; Casey Pearson-Adams, Achievement Award, Donald Lee Cordes Scholarship and K-State Rodeo Club Endowed Scholarship; Elizabeth Petite, Kay Meggers-Siemens Corporation Management Scholarship and W.F. and Lucille Farrell Scholarship Fund; Taniesha Ray, Memorial Scholarship; Marianela Rios, Agricultural Enhancement Fund; Joseph Rix, College of Education Alumni Scholarship and Gary J. and Carol L. Lazarus Scholarship in Education; Martrisha Rodriguez, Memorial Scholarship; Edward Schenk, Arts and Sciences Fund for Excellence and Memorial Scholarship; Dayton Schmalzried, Arts and Sciences Fund for Excellence; Mariktza Smith, Dorla Jane (Dodie) Abbott Social Work Scholarship; Jennifer Stawski, Viola F. and Robert S. Eyestone Scholarship; Misty Stevens, Transfer Achievement Award; Hanna Sul, Memorial Scholarship and Populous Minority Endowed Scholarship; Jasmine Tuitt, Cargill Project Impact Scholarships and Memorial Scholarship; Jenna Watson, Engineering Scholarships Fund; Geneva White, Cargill Project Impact Scholarships; Shelbie Witt, Achievement Award and K-State Alumni Association Legacy Scholarship; Adonis Wooten-Herron, Cargill Project Impact Scholarships; Robee Ybanez, Engineering Scholarships Fund; and Memorial Scholarship
Milford: Spencer Bontrager, Industrial and Manufacturing Systems Engineering Excellence Scholarship; Emily James, Memorial Scholarship; Ora McIntosh, Arts and Sciences Student Research Travel and Memorial Scholarship; Corey Moore, Memorial Scholarship; Emilio Rivera, David R. and Janice W. Von Riesen Scholarship in Journalism/Mass Communications and Leadership Scholarship; Mantej Singh, CyberCorps Scholarship for Service, Engineering Scholarships Fund, Foundation for Engineering at Kansas State University Fund and Memorial Scholarship
Gove County
Grainfield: Hannah Gillespie, Foundation Scholarship; Dayna Shaw, College of Agriculture Excellence Scholarship, M. Lester and Ruby A. Cox Scholarship and Soaring with Eagles Scholarship
Grinnell: Melody Dickman, Purina Animal Nutrition LLC Feed Science and Management Scholarship; Heather Heier, First in Class Scholarship; Megan Schoendaler, K-State Transfer Academic Award
Park: Jesse Ochs, Leadership Scholarship and Miriam A. Wilke Scholarship
Quinter: Ryan Hillman, Dane Hansen Foundation Scholarship; Zachary Nemechek, Ellis Foundation Scholarship Match; Logan Reed, Foundation for Engineering at Kansas State University Fund
Graham County
Hill City: Kaitlynn Bradshaw, Foundation Scholarship; Bethany Parker, Leadership Scholarship; Ashley Strathman, Achievement Award; Eric Vanloenen, Albert P. Haeberle College of Agriculture Memorial Scholarship
Morland: Chantelle Simon, Achievement Award, Agricultural Enhancement Fund and John L. and Evelyn R. Wilson Scholarship in Agriculture;
Penokee: Allison Nickelson, Clair M. and Elouise A. Worthy Scholarship Fund, First in Class Scholarship and John and Dorothy Perrier Scholarship; Samantha Nickelson, Bernard I. and Caroline N. Melia Scholarship in Agriculture
Grant County
Ulysses: Carlos Barron-Hernandez, Philippe Dehon Graduate Scholarship; Samuel Barron-Hernandez, Memorial Scholarship; Austin Cantrell, Achievement Award; Lucero Chacon, Business Administration Dean's Scholarship, Koch Impact Scholarships and Memorial Scholarship; Gabriela Chavez, Division of Biology Scholarship, First Scholars Operations and Administration and Memorial Scholarship; Andi Christenson, Dr. Neal F. and Florence E. Morehouse Agronomy Research and Scholarship Program; Anthony Delcorral, Memorial Scholarship; Avery Nichols, Activity Scholarship; Logan Pelton, Achievement Award; Edwin Porras, Memorial Scholarship; Rachel Zimmerman, Charles W. and Lois H. Nauheim Agricultural Economics Scholarship and Koch Nitrogen Company Agriculture Economics Scholarship;
Gray County
Cimarron: Diana Arreola, Cargill Project Impact Scholarships and Memorial Scholarship; Jessica Ast, K-State Alumni Association Scholarship; Abigail Bartel, Lewis G. Mickelson Scholarship; Ruth Bartel, Foundation Scholarship and Todd A. Kintigh Memorial Scholarship; Ted Boersma, Achievement Award; Joseph Dasenbrock, Craig Edwin Haymaker Family Economics Scholarship, Risk Management and Undergraduate Scholarship; Sharon Garcia, Judith Cain Scholarship and Memorial Scholarship; Greta Giebler, K-State Transfer Academic Award; Nicholas Hibbert, Memorial Scholarship; Steven Pfeifer, Achievement Award, First in Class Scholarship and K-State Alumni Association Scholarship
Fowler: Luke Huelskamp, K-State Alumni Association Scholarship
Ingalls: Zachary Batman, Leadership Scholarship; Shannon Deaver, Activity Scholarship and K-State Alumni Association Scholarship; Savannah Dwyre, Megan Elizabeth Taylor Memorial Scholarship in Modern Languages; Kyle Miller, Activity Scholarship, K-State Alumni Association Scholarship and Richard Auer Memorial Scholarship; Abby Thompson, K-State Marching Band Scholarship, Marching Pride Scholars and Medallion Scholarship; Hannah Vanderree, Activity Scholarship
Montezuma: Brett Bullinger, Foundation Scholarship and Howard Wilkins Memorial Scholarship;
Greeley County
Tribune: Stephen Houston, Arts and Sciences Fund for Excellence, Louis D. and Lillian Ellsworth Family Scholarship, Physics Department Excellence Fund and Physics Scholarship; Clay Robertson, Petroleum Geology Scholarship
Greenwood County
Eureka: Mathew Alford, Foundation for Engineering at Kansas State University Fund and Len and Stella Harden Scholarship Fund; Bailee Barrett, Fern M. Osterhout Scholarship in Human Ecology; Abigail Basham, K-State Alumni Association Scholarship and Lynn Braden and Martha Braden Scholarship Fund; Megan Bitler, First in Class Scholarship and Lynn Braden and Martha Braden Scholarship Fund; Ashley Herb, K-State Marching Band Scholarship and Marching Pride Scholars; Devan Herb, K-State Alumni Association Scholarship; Kodi Koup, Lynn Braden and Martha Braden Scholarship Fund; Wesley Moots, Gayle Foster Alumni Club Scholarship and K-State Alumni Association Scholarship; Haley Pitko, Helen C. Schutte Memorial Scholarship and Lynn Braden and Martha Braden Scholarship Fund; Charlie Samuels, Gayle Foster Alumni Club Scholarship; Connor Torrey, Gayle Foster Alumni Club Scholarship and Lynn Braden and Martha Braden Scholarship Fund
Fall River: Justin Haun, Elvon G. and Lydia E. Skeen Education Fund; Trevor Haun, Homer Holmes Hero Scholarship
Hamilton: Rodney Dimick, Jaconette L. Tietze Memorial Scholarship, K-State Transfer Academic Award and Lynn Braden and Martha Braden Scholarship Fund
Madison: Madison Eaton, Memorial Scholarship; Mark Ott, Agriculture Alumni Association Fund
Severy: Jasmine Coble, Lynn Braden and Martha Braden Scholarship Fund
Virgil: Braxton Butler, Dale A. Rodman Alpha Gamma Rho Agriculture Leadership Scholarship, Lynn Braden and Martha Braden Scholarship Fund and Robert and Helen Zebold Scholarship;
Hamilton County
Kendall: Caitlyn Horton, Foundation Scholarship and Phebe Bissell Memorial Scholarship in Agriculture
Harper County
Anthony: Jeffrey Cather, American AgCredit Scholarship and Leslie W. Beckman and Edna L. Beckman Memorial Scholarship; Kori Harbin, Achievement Award and Bob and Betty Newton Family Scholarship; Breanna Hoskinson, Achievement Award and Ellis Foundation Scholarship Match; Ryley Menhusen, First in Class Scholarship, Harry H. Halbower Jr. Memorial Scholarships and Medallion Scholarship
Harper: William Brannon, Ellis Foundation Scholarship Match and Foundation Scholarship; Tanner Wood, Boyer Educational Trust Scholarships;
Harvey County
Burrton: Blake Foraker, Dan and Beth Bird Scholarship in Animal Sciences and Industry, John M. Cranor Jr. Memorial Scholarship, Olive Reed Schafer and Robert T. Schafer Agriculture Scholarship and Owen and Susan Sutter Agriculture Scholarship; Shelby Shearon, Leadership Scholarship
Halstead: Sydney Beat, Leadership Scholarship; Jason Grossardt, Foundation Scholarship, Marching Pride Scholars, Opportunity Scholarship, Phillips 66 Shield Scholars Award Fund and Ralph and Dora Rogers Memorial Scholarship; Garrison Gundy, Charles W. and Lois H. Nauheim Agronomy Scholarship; Austin Marshall, Achievement Award and Business Administration Dean's Scholarship; Victoria Maurath, First in Class Scholarship, Foundation Scholarship and Leslie W. Beckman and Edna L. Beckman Memorial Scholarship; Nathan Nordstedt, Transfer Achievement Award; Alex Thibault, Achievement Award, Engineering Scholarships Fund and Warren and Mary Lynn Staley Engineering Excellence Scholarship
Hesston: Hope Goertzen, Donald and Linda Dressler Dance Scholarship; Peter Jensen, Garmin Electrical and Computer Engineering Scholarships; Rachelle McGehee, College of Education Alumni Scholarship and Nancy Glover Craig Education Scholarship; Scott McGehee, First in Class Scholarship, Foundation Scholarship, K-State Alumni Association Legacy Scholarship and Patricia Farrow Raskob Financial Planning Scholarship; Benjamin Meier, Betty Hinshaw Gutru Scholarship in Human Ecology and Jon Levin K-State Student Union General Scholarship; Paul Meyer, Leadership Scholarship; Emily Nickel, Transfer Achievement Award; Adam Van Bergeijk, Robert M. Kountz Scholarship in Engineering
Newton: Colton Aarstad, Business Administration Dean's Scholarship, June D. Hull Sherrid Cancer Center Scholarship and Education Fund, K-State Alumni Association Legacy Scholarship, K-State Alumni Association Scholarship and Putnam Scholarship; Katie Brenneman, Achievement Award; Meredith Burkhart, Foundation Scholarship; Nolan Casimir, G.E. Johnson Engineering Scholarship and Leadership Scholarship; Madison Dalke, Fairchild Scholarship, First in Class Scholarship and Marjorie and Ross Laybourn Scholarship; Lily Dollarhide, Foundation Scholarship and Paul B. and Sandra M. Edgerley Business Administration Leadership Scholarship; Trevor Duerksen, Medallion Scholarship; Grant Fruechting, Margaret Mills Ruckert Memorial Scholarship and Willard S. and Ethel E. Hemker Engineering Scholarship; Samuel Goertz, Biochemistry and Molecular Biophysics Excellence Fund and Putnam Scholarship; Darian Gonzalez, Memorial Scholarship; Marlaena Gridley, Transfer Achievement Award; Alex Meier, Arts and Sciences Fund for Excellence and Lewis J. and Ernest A. BrAun Pre-Medicine Scholarship; Luis Miguel, Koch Impact Scholarships, Memorial Scholarship, Transfer Achievement Award and Warren and Mary Lynn Staley Engineering Excellence Scholarship; Wesley Moore, David and Mindy Weaver Endowment; Jacob Peyton, Foundation Scholarship; Yadira Porras, Engineering Scholarships Fund and Memorial Scholarship; Lindsay Rhoades, Global Education Initiative; Hana Robinson, Memorial Scholarship and Nannie Beisley Scholarship; Braidyn Rucker, Willis G. Griffing Scholarship; Kendall Schmidt, Ellis Foundation Scholarship Match, Hosler Family Scholarship, Kansas State University Chapter, Blue Key Scholarships and Ralph and Dora Rogers Memorial Scholarship; Lindsay Schmidt, Greg B. Miller Scholarship; Gabriel Serrano, Memorial Scholarship; Connor Stucky, Fairchild Scholarship and Kansas Ag Bankers Scholarship; John Stucky, Ralph and Dora Rogers Memorial Scholarship and Professor and Mrs. Alley H. Duncan Scholarships; Joshua Wuthnow, Foundation Scholarship and Warren and Mary Lynn Staley Engineering Excellence Scholarship
North Newton: Hannah Carlgren, Foundation Scholarship; Joshua Carlgren, Business Administration Dean's Scholarship and Putnam Scholarship; Emily Schadler, College of Education Alumni Scholarship and Morrow Family Education Merit Scholarship
Peabody: Matthew Hiebert, Transfer Leadership Scholarship; Joshua Klarmann, Memorial Scholarship
Sedgwick: Brooke Grattan, Leadership Scholarship and Stanley D. Bert Scholarship; Nicholas Johnson, Ralph and Dora Rogers Memorial Scholarship; Drake Standefer, Charles M. Loyd Memorial Scholarship; Alexander Zerbe, Bill and Jo Harbin Endowed Scholarship and Cessna Leadership Scholarship
Valley Center: Mattithyah Tillotson, ACS-Hach Land Grant University Scholarship; Quintina Tillotson, Transfer Achievement Award
Whitewater: Samuel Brazell, Putnam Scholarship; Taylor Guhr, Fairchild Scholarship
Haskell County
Satanta: Eli Stalker, Leadership Scholarship; Kathryn Clawson, K-State-KSB Launch A Business; Kurtis Clawson, CoBank Outstanding Student Scholarship, Risk Management, Walter E. Gilmore Memorial Scholarship in Agronomy and Zeta Schippel Memorial Scholarship in Production Agriculture; Shelby Hill, K-State Alumni Association Legacy Scholarship and Risk Management; Eli Stalker, Gaylord Munson Memorial Scholarship, Joel and Jim Ungles Endowed Scholarship For Animal Science and Larry D. Hudson Family Foundation Scholarship; Emma Stalker, Elizabeth and William Henry Hinshaw Memorial Scholarship in Agriculture, K-State Alumni Association Scholarship and Leadership Scholarship; Allee Young, K-State Transfer Academic Award
Sublette: Anna Messerly, Adelaide H. Stegman Scholarship and Ralph W. Crouch Scholarship; Quentin Ricketts, Achievement Award and Kevin and Jean Ann Thayer Leadership Scholarship
Hodgeman County
Jetmore: Chelsie Beougher, Judith Cain Scholarship; Jonnie Cossman, K-State Alumni Association Scholarship; Josephine Hayes, Business Administration Dean's Scholarship, Leadership Scholarship and Phillip F. and Virginia B. Weaver Scholarship; Kelsey Lampe, Paul D. Stephenson Scholarship; Michelle Nuss, Baeten Farm Scholarship; Seth Shriwise, Earl H. Regnier Memorial Scholarship and First in Class Scholarship
Jackson County
Circleville: Joshilyn Binkley, Achievement Award and Memorial Scholarship; Lena Fernkopf, Medallion Scholarship and Phebe Bissell Memorial Scholarship in Agriculture; Trenton Tanking, Business Administration Dean's Scholarship, Ellis Foundation Scholarship Match, K-State Alumni Association Legacy Scholarship and Paul B. and Sandra M. Edgerley Business Administration Leadership Scholarship
Delia: Kelsey Crow, Leadership Scholarship
Emmett: Amanda Aubert, First in Class Scholarship
Holton: Elizabeth Allen, Achievement Award, CHS University Scholarship and Jim and Mary Lou Birkbeck Family Scholarship; Dalton Beightel, Leadership Scholarship; Nicole Darveaux, Achievement Award and Barbara C. Blatz Scholarship; Keeli Gibson, College of Education Alumni Scholarship, Herr Memorial Scholarship and Medallion Scholarship; Ryan Haefke, Finance Advisory Board Scholarship, K-State Alumni Association Legacy Scholarship, Leadership Scholarship and Robert F. Hagans Business Scholarship; Alex Hamilton, Richard L. Clarke Scholarship; Victoria Harshaw, Miller and Danielson Memorial Scholarship in Human Ecology; Derek Henry, K-State Transfer Academic Award; Ross Henry, McCown Gordon Construction Science Scholarship; Calista Hickman, Olive Reed Schafer and Robert T. Schafer Human Ecology Scholarship; Leah Hill, Aubrey E. and Jewel L. Bilger Scholarship and Transfer Achievement Award; Stephanie Hurt, Helen C. Schutte Memorial Scholarship; Richard Iverson, David and Kay Fritchen Student Leadership Scholarship; Ryan Lierz, WEM Automation Inc. Scholarship; Caleb Niehues, Achievement Award and Wilma A. Brown Scholarship; Josh Nolan, Fairchild Scholarship; Alex Sextro, Salina Housing Scholarship and Salina Tuition Scholarship; Amanda Spade, Transfer Achievement Award; Jacob Tanking, K-State Transfer Academic Award
Hoyt: Jayme Bausch, Achievement Award; Katie Bausch, Kay Meggers-Siemens Corporation Management Scholarship; Mariah Bausch, Achievement Award and James M. and Marsha S. Reed Professional Financial Planning Scholarship; Jessica Eisenbarth, Telefund Scholarship; Mason Grittman, Charles E. Billingsley Accounting Scholarship, ConocoPhillips Spirit Scholars Award Fund and Student Governing Association Leadership Award; Adam Hegemann, Gladys Lichty Memorial Scholarship
Mayetta: Anna Pugh, Achievement Award; Jesse Smith, Robin Hagans Maupin Business Scholarship
Meriden: Sarah Grose, Achievement Award, K-State Marching Band Scholarship and Rosamond P. Haeberle Music Education Scholarship
Soldier: Ross Allen, Arts and Sciences Fund for Excellence, Joye Ansdell Scholarship, Michael and Geraldine Carlisle Scholarship in Economics and Undergraduate Scholarship; Zev Allen, Leadership Scholarship and Sam C. Rawdon Scholarship for Leaders; Cody Holliday, Denison State Bank Scholarship, Leadership Scholarship and Ray A. and Anna B. Zimmerman Scholarship; Jacey Holliday, Judith Cain Scholarship; Amanda Mellenbruch, Phebe Bissell Memorial Scholarship in Human Ecology; Caitlin Messer, Arts and Sciences Fund for Excellence, Eugene J. Laughlin Scholarship and Manz Family Scholarship in Business
Whiting: Shannon Maxwell, Jim and Mary Lou Birkbeck Family Scholarship, Leadership Scholarship and Otis and Mary Lee Molz Cooperative Scholarship; Jason Yingst, Achievement Award and Charles H. and Colene K. Butler Agriculture Scholarship
Jefferson County
Atchison: Jacob Schrick, Foundation for Engineering at Kansas State University Fund
Grantville: Gabrielle Coleman, Heritage Award; Nathan Holloman, Fairchild Scholarship
Lawrence: Benjamin Williams, Duane and Pauline Murphy Scholarship and Engineering Scholarships Fund
Mclouth: Logan Hoobler, American Feed Industry Association and Equipment Manufacturers Committee Scholarship; Mathew Horton, McCown Gordon Construction Science Scholarship; Destiny Rollins-Mestagh, Leadership Scholarship; Katlin Walbridge, Coonrod Memorial Civil Engineering Scholarship
Meriden: Tabatha Bell, Foundation for Engineering at Kansas State University Fund; Josiah Dowding, First in Class Scholarship and Medallion Scholarship; Dalton Hahn, Foundation Scholarship; Quentin Hahn, Foundation Scholarship and Ralph and Dora Rogers Memorial Scholarship; Ian Mullins, Foundation Scholarship; Jessica Pearson, Foundation Scholarship, Jaconette L. Tietze Memorial Scholarship, Marching Pride Scholars and Memorial Scholarship; Hunter Rouse, Gordon Byler Memorial Scholarship; Aaron Swank, Gwendolyn L. Tinklin Commemorative Fund; Jarek Van Petten, K-State Rodeo Club Endowed Scholarship
Nortonville: Megan Domann, Catherine Hardin Tendick Scholarship and Medallion Scholarship; Katelyn Noll, Borck Leadership Scholars and Judith Cain Scholarship
Oskaloosa: Caitlin Buelt, Gladwin A. Read Memorial Fund, John O. and Madeline B. Miller Scholarship and Memorial Scholarship; Shelby Leonhard, K-State Rodeo Club Endowed Scholarship; Trenton Newell, Gary and Lorraine Kilgore Masters of Science Agronomy Scholarship; Audrey Trowbridge, Judith Cain Scholarship
Ozawkie: Caysi Gatts, Glenn R. and Lena Marie Nelson Scholarship and M. Hal and Janice J. TaylorHuman Ecology Scholarship; Clint Lee, Gladwin A. Read Memorial Fund and Zeta Schippel Memorial Scholarship in Production Agriculture; Jack Moore, K-State Transfer Academic Award; Jacob Winter, Medallion Scholarship
Perry: Isaac Fisher, Timothy R. Donoghue Graduate Scholarship
Valley Falls: Maxamillyan Badgett, Activity Scholarship; Ty Brickell, Leadership Scholarship; Jessa Brinker, Achievement Award; Kendy Edmonds, K-State Alumni Association Legacy Scholarship, Leadership Scholarship, Salina Flight Scholarship, Salina Housing Scholarship and Salina Tuition Scholarship; Lawryn Edmonds, Fairchild Scholarship and Gilbert Selsor Scholarship in Engineering; Jordan Korb, Richard and Jane Thiessen Business Administration Scholarship; Kylie Manville, Honstead-Wells Human Ecology Scholarship; Jordan Morrow, Marlin D. Breer Mechanical Engineering Scholarship and Ralph and Dora Rogers Memorial Scholarship; Amanda Sales, Foundation Scholarship, Genny and Lowell Brandner Scholarship, Henry Van De Riet Memorial Scholarship and Virgil L. Patterson Scholarship in Agriculture; Morgan Streeter, Center on Aging Excellence Fund and Lucille E. Reitz Scholarship in Gerontology; Richard Wells, Engineering Scholarships Fund, Foundation for Engineering at Kansas State University Fund and Foundation Scholarship; Faith Wildeman, Activity Scholarship; Katherine Wunder, Activity Scholarship, First in Class Scholarship and Richard Nimrod Hankins Memorial Scholarship
Winchester: Anna Kern, Business Administration Dean's Scholarship; Calder McAfee, K-State Transfer Academic Award
Jewell County
Burr Oak: Travis Boyles, Wayne Tjaden Scholarship; Kevin Garman, Foundation for Engineering at Kansas State University Fund and June Roberts Scholarship
Esbon: McKenzie Benoit, Max E. and Jean Hollinger Scholarship in Journalism and Mass Communications; Francisco Fischer, Ivy Fuller Olds Scholarship in Military Science; Justin Pate, Marching Pride Scholars
Formoso: Kyle Fleming, Department of Philosophy Scholarships and Leadership Scholarship; Ryan Spiegel, Activity Scholarship and Gladys Lichty Memorial Scholarship
Jewell: Sheridan Koster, Business Administration Dean's Scholarship, Foundation Scholarship and Gayle Foster Alumni Club Scholarship
Mankato: Alexander Smith, Foundation Scholarship, K-State Alumni Association Legacy Scholarship and Robert and Florence Nulty Scholarship; Allison Thompson, Arts and Sciences Fund for Excellence and June D. Hull Sherrid Cancer Center Scholarship and Education Fund
Randall: Brittany Joerg, Executive Mentorship Program; Sierra Pierce, Business Administration Dean's Scholarship
Johnson County
Bucyrus: Megan Angermayer, A.W. Michael and William Michael Scholarship, Arthur S. and Leora J. Peck Scholarship and Professor James E. Urban Award of Excellence; Ian Dennin, Leadership Scholarship; Sydney Haas, Leadership Scholarship; Jason Wilson, Fairchild Scholarship
De Soto: Ethaniel Aubrey-Mitchell, K-State Marching Band Scholarship, Memorial Scholarship and Rosamond P. Haeberle Music Education Scholarship; Connor Berg, Medallion Scholarship and Rathbone Scholarship Fund; Michael Buffkin, First in Class Scholarship; Kasey Dunlap, Arts and Sciences Fund for Excellence, Dr. Willard C. and Oma Grace Schwartz-First Christian Church Scholarship, Marching Pride Scholars and Rosamond P. Haeberle Music Education Scholarship; Katherine Gehrt, Foundation Scholarship and Robert W. Lewis Blue Key Leadership Award; Elaina Grantham, Foundation Scholarship; Courtney Henney, Ellis Foundation Scholarship Match, Elvon G. and Lydia E. Skeen Education Fund and Medallion Scholarship; Erin Kaul, Ethel P. and Francis E. Carpenter Scholarship and Jimmy V. and Lucile A. Hoar Memorial Scholarship; James Mikaloff, LTC Gerald F. Ely Army ROTC Scholarship; Magdaline Oberle, Foundation Scholarship and Herbert C. Moser Scholarship; Elizabeth Reichenberger, Dennis K. Tapsak Memorial Scholarship; Parker Seaman, James T. Jackson Memorial Scholarship and Transfer Achievement Award; Nathan Shipley, Norman D. and Trella A. Currie Forestry Scholarship and Robert James Abell Memorial Scholarship; Jessica Spencer, Bob and Chris Chalender Leadership Scholarship; Lizbeth Valenzuela, Essie B. Schneider Memorial Scholarship, Memorial Scholarship and Transfer Achievement Award; Courtney Minter, Foundation Scholarship; Joseph Seidl, Ralph and Dora Rogers Memorial Scholarship; Samuel Weinhold, Fairchild Scholarship
Edgerton: Michael Fibelkorn, Marion Herfort Pelton Music Scholarship Fund; Katie Thomas, Medallion Scholarship
Fairway: Christopher Boucher, William Reno Memorial Scholarship; Molly Howland, Dr. and Mrs. Frederick E. Emery Memorial Scholarship in Human Ecology and Medallion Scholarship; Charles Shaver, Medallion Scholarship; Hannah Wallace, Medallion Scholarship; Elizabeth Young, Medallion Scholarship
Gardner: Alexandria Bangert, Medallion Scholarship and Memorial Scholarship; Nicholas Beach, Fairchild Scholarship; Hannah Beachner, Memorial Scholarship; Emily Betthauser, Catherine Hardin Tendick Scholarship; Brent Bovitz, Business Administration Dean's Scholarship; Samantha Boyajian, Ellis Foundation Scholarship Match; Alyssa Bradford, Fairchild Scholarship; Hannah Culbertson, Achievement Award; Alyson Daniels, Foundation Scholarship and K-State Alumni Association Legacy Scholarship; Kathlyn Daniels, Marching Pride Scholars, Orma Linford Scholarship and Rod Funk Memorial Band Scholarship; Jonathan Finley, David and Ruth Ma
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https://www.cambridge.org/core/books/comprehensive-womens-mental-health/mood-anxiety-and-obsessive-compulsive-disorders-in-pregnancy-and-the-postpartum-period/C3B953B7B0DBBDD8525A37C21D6F85AC
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Mood, anxiety and obsessive compulsive disorders in pregnancy and the postpartum period (Chapter 10)
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Comprehensive Women's Mental Health - March 2016
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Cambridge Core
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https://www.cambridge.org/core/books/comprehensive-womens-mental-health/mood-anxiety-and-obsessive-compulsive-disorders-in-pregnancy-and-the-postpartum-period/C3B953B7B0DBBDD8525A37C21D6F85AC
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To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
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http://caligraph.org/resource/Simone_Kennedy-Doornbos
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Simone Kennedy
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797130/
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Calibration-free PAT: Locating selective crystallization or precipitation sweet spot in screenings with multi-way PARAFAC models
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[
"Christina Henriette Wegner",
"Jürgen Hubbuch"
] |
2022-08-15T00:00:00
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When developping selective crystallization or precipitation processes, biopharmaceutical modalities require empirical screenings and analytics tailored to the specific needs of the target molecule. The multi-way chemometric approach called parallel factor ...
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https://www.ncbi.nlm.nih.gov/coreutils/nwds/img/favicons/favicon.ico
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PubMed Central (PMC)
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797130/
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3.1 Case 1–selective crystallization of lysozyme in a ternary protein solution
As a proof of concept, the PARAFAC model construction was first applied to UV/Vis spectral data of a phase transition process of a chemically defined system. In a system of three model proteins, the target molecule (Lys) was selectively crystallized in a HT screening with 96 different conditions. The other two species (CytC and RibA) are arbitrarily treated as contaminants and were preferred to stay in the supernatant to achieve a high Lys purity in the crystals. The supernatants of the screened conditions holding different protein-specific concentrations were UV/Vis-analyzed. The generated data was used for the model construction. The selected model required two PARAFAC components–one for the target molecule Lys, and the second one for clustering the contaminants.
shows the PARAFAC-predicted single species time profiles compared to the measured absorbance of the initial material at the wavelength λ = 280 nm over time. The dashed and solid lines visualize the model-predicted data (right axis) and the measured data (left axis), respectively. This remains consistent throughout this research work. The predicted spectra of the two components are illustrated in in different colors for each species. As a reference, the pure Lys spectrum is included with solid lines for identification of the target molecule component. The predicted and measured Lys concentration of the supernatants of the screened conditions are depicted in . This plot illustrates the phase behavior of Lys in a phase diagram depending on the AMS and initial Lys concentration of the screened condition, and distinguishes between the supersaturation and stable area. The loading vectors in all three modes are unitless, and one component represents one species in each mode. The concentration of the contaminant species did not change (data not shown). The phase behavior of this HT screening is described and explained in detail by Wegner et al. (2022).
The time courses of the predicted two species match the position of the overall absorbance at λ = 280 nm of the analyzed initial material. Both predicted species demonstrate a similar flow behavior through the HPLC system during the no-column runs and resemble the Gaussian shape due to axial diffusion in the analysis system. The spectral prediction of the Lys component fits the measured spectrum of pure Lys, only the shoulder at λ = 290 nm is slightly less pronounced than in the measured spectrum. The predicted concentration loadings and measured concentrations overlay and indicate the saturation curve of the phase diagram clearly. This curve distinguishes the screened condition into the stable area showing no Lys concentration decline in the supernatant and the supersaturation area, in which the Lys concentration drops to the saturation curve, possibly due to crystallization.
To compare the predicted PARAFAC loadings and the measured reference data, depicts the model and measurement data sets in two ways. First, the data sets in show the predicted spectral loadings and measured species, similarly to , but with the spectra of all three model proteins (Lys, CytC, and RibA) present in the screening solutions. Second, the spectral data of the Lys species were mean-normalized to overcome the difference in axis scale. Finally, the data sets were plotted against each other and used for the coefficient of determination (R 2) and root mean squared error of prediction (RMSEP) calculation (see for the Lys spectrum and for the concentration comparison). is derived from the mean-normalized concentration data of . The RMSEP in this work is given without a unit as the variable is calculated from normalized values.
The RibA UV/Vis spectrum shows a noisy spectrum above 300 nm, which is a normalization artefact as the overall absorption of the pure RibA spectrum was low due to its low extinction coefficient and the measured concentration of 0.2 mg ml−1. It is visible that the predicted contaminant spectrum is similar to the pure CytC spectrum between 300–450 nm. According to the model, below 300 nm, the two contaminant species (CytC and RibA) do not contribute to the measured UV/Vis absorbance which differs from the measured pure species spectra. PARAFAC models with three components did not lead to reasonable models, so that the species RibA was not modeled as an own species due to its low contribution to the overall UV/Vis absorbance. However, RibA and CytC together can be clustered as impurities and can be described by one contaminant component as they demonstrate similar phase behavior.
The mean-normalized model prediction and the measured mean-normalized spectrum of pure Lys overlay as indicated by the high R 2 value. The Lys concentration loadings of the PARAFAC model are slightly underestimated at higher protein concentrations, which is quantified with a lower R 2.
3.2 Case 2–selective precipitation of monoclonal antibodies in a complex solution
As the second case study, a mAb was selectively precipitated out of a clarified, complex solution (CCS) consisting of several different species. In total, 12 different precipitant concentrations were investigated, and the supernatants of the precipitation (S1), wash (S2), and redissolution (S3) process steps were UV/Vis-analyzed to finally construct a valid PARAFAC model.
The results of the constructed model with three different components are shown in . The three components could be identified as the mAb, contaminants, and AMS. The predicted time profiles of each component and the measured absorbance at λ = 280 nm are shown in . The predicted spectral profiles and the measured spectrum of purified mAb are depicted in . The predicted, specific concentration in the supernatant of precipitation ( ), wash (D), and redissolution process step (E) are colored according to the species. As a reference, the measured peak area of the mAbs and the contaminant are included in and represent the concentration profile throughout the investigated screening conditions.
The predicted time profiles in show a Gaussian curve for the contaminant species, two Gaussian curves for the AMS species, and an irregular profile for the mAb component resembling multiple overlaying species. The predicted AMS time profile overlaps with the measured time profiles of pure AMS solution measurements (see Supplementary Figure S1).
The predicted spectrum of the target molecule mAb fits the measured spectrum of protein A purified mAb (see ). The predicted concentration profile of the AMS during the precipitation and wash step agrees with the experimental AMS concentration as the precipitant concentration was linearly increased over the investigated conditions from 0 mol to 2 mol during the precipitation and wash process step (see Supplementary Figure S2). The predicted and the measured mAb concentrations in the precipitation supernatants decrease strongly above 1.2 mol AMS in and match the increase in mAb concentration in the redissolution solutions above the same AMS concentration in . The predicted and the measured contaminant concentrations behave likewise with a different threshold at 1.6 mol AMS. A slight increase in the mAb concentration at 1.6 mol AMS during the washing step is visible in the predicted and the measured data sets. A slight increase in the contaminant concentration with rising AMS concentration was only seen in the reference analytics and indicates contaminant removal during the wash step. The predicted mAb concentration in is overestimated at AMS concentration between 0 and 0.4 mol AMS whereas the contaminant concentration is underestimated. Similarly, the behavior of overestimated mAb and underestimated contaminant concentrations is visible in the redissolution samples at higher AMS screening conditions in .
To further validate the constructed PARAFAC model, comparisons of the predicted loadings, and measured data of the mAb spectrum and concentration are illustrated in . The predicted spectral loadings of the mAb and the predicted contaminant are shown in , as well as the spectrum of the initial contaminants, present in the precipitation supernatant, and of the co-precipitated contaminants, which are still present after redissolution. The initial contaminants, which are present in large excess and remain in solution despite the presence of the precipitant AMS, are well described by the blue contaminant component of the PARAFAC model. The co-precipitated contaminants could not be described by the model as these contaminants underwent phase transition at similar precipitant concentration as the target molecule. The mean-normalized, predicted spectral loadings and the measured spectrum of the mAb species are depicted in and agreed as indicated by the R 2 value of 97.38% and a low RMSEP of 0.009.
To further visualize the model agreement, the predicted, mean-normalized concentration loadings and measured peak area of the mAb are shown during the different process steps in with their process-specific R 2 and RMSEP values. The concentration loadings show moderate agreement with the measured data for the precipitation and wash step samples. In the precipitation supernatant analysis, the presence of the different contaminants at high mAb concentration (especially at lower AMS concentration) might be the cause. The wash step analysis samples showed very low mAb concentration except for one outlier. The lowest R 2 and the highest RMSEP values among the investigated process steps might be caused by a mathematical artefact and the outlier. The high R 2 and low RMSEP values for the precipitation and redissolution supernatant indicate that the model could produce valid mAb concentrations.
3.3 Case 3–selective precipitation of virus-like particles in a complex solution
The third case study dealt with the selective precipitation of VLPs in E.coli lysate. In line with the second case study, a screening was performed over different precipitant concentrations, and the UV/Vis-analyzed precipitation (S1), wash (S2), and redissolution step (S3) supernatants were used to construct a PARAFAC model.
The results of the constructed model with three different components are shown in . The three components are identified as the VLPs and two contaminant clusters.
The time profiles in show a flat, broad peak for the VLP species. The calculation of the second derivative of the spectra along the wavelength dimension improved the model validity (data not shown). The second spectral derivative of a reference spectrum of purified VLPs validated the spectral PARAFAC loadings (see ). The reference data illustrate how well the peak position is found by the PARAFAC model estimation of the spectra. The concentration loadings of the different species during the precipitation, wash, and redissolution process step are depicted in , respectively. The VLP species concentration decreases with rising AMS concentration above 1 mol concentration and approaches a limit (see ). The VLP concentration loadings of the redissolution step show the inverse behavior above the same threshold (see ). The first contaminant cluster shows a similar behavior above 1.5 mol AMS with a higher limit in the precipitation solutions and a lower limit during the redissolution step. Presumably, this contaminant cluster precipitates to the solubility line above the threshold. During redissolution, the precipitate of screened conditions with high AMS concentration is redissolved. The AMS concentration does not strongly affect the concentration loadings of the second contaminant cluster in the precipitation solutions, but the concentration loadings of this component increase slightly to a limit in the redissolution solutions. The second contaminant cluster represents species that are stable at higher AMS concentration. Similar results were achieved by Hillebrandt et al. (2020) for a chimeric VLP construct. The concentration loadings during the wash step show no significant increase in the VLPs and the first contaminant cluster. The second contaminant cluster shows a slight concentration loadings increase and is probably washed out of the precipitate with the rising AMS concentration.
Scanned SDS-PAGE gels of the precipitation and redissolution step are included in the Supplementary Material (see Supplementary Figure S3) analyzing the conditions between 0 mol and 1.27 mol and 2 mol AMS concentration. The findings on the concentration profile of the predicted species match the scanned gel of the reference SDS-PAGE analysis (see Supplementary Figure S3).
The similarity between the predicted and measured second derivative of the VLP spectrum is visible in The estimated wavelength position of the peak maxima and minima fits the measured data in the wavelength range below 265 nm and above 275 nm, but the absolute values at the peak maxima and minima do not overlay. Between the mentioned wavelengths, the curve characteristics of the predicted spectral loadings show a flattened curve and differ from the measured data. The absolute values at the peak maxima and minima do not overlay.
This may be the result of the applied preprocessing techniques as smoothing can eliminate or broaden peaks, whereas the spectral derivative calculation is sensitive to subtle differences in spectra.
To visualize the fit of the predicted to the measured data, the mean-normalized predicted VLP loadings and the second derivative data of a measured VLP spectrum are plotted against each other in and used for the calculation of R 2 and RMSEP values. Closer to the center, the predicted data overlay strongly with the measured data. At the boundaries of the spectral loadings, the predicted and the measured data differ more. Still, the spectral loadings showed a high R 2, but the highest RMSEP for the spectral regression among the three investigated case studies.
4.1 PARAFAC model choice
A PARAFAC model can decompose a data set into the signal contribution of each species if the experimental data set has a truly trilinear structure (Bro, 1997; Anzardi et al., 2021). In the case of spectral data sets, this means that an experimental data set can estimate e.g., the spectrum and concentration profile of each species present. Considering the physical logic that the spectra and concentration profiles are positive, the non-negativity constraints can be included in the calculation of chemometric models. This is a common practice to find stable, correct multi-way chemometric models during model calculation (Bro, 1997; Ebrahimi et al., 2008; Murphy et al., 2013; Steiner-Browne et al., 2019; Van Benthem et al., 2020).
Still, valid PARAFAC models can only be constructed if the appropriate number of components (Andersen and Bro, 2003; Bro and Kiers, 2003; Ortiz et al., 2015), preprocessing techniques, and suitable model calculation parameters are used.
In the case of biological, complex solutions containing several different species, the requirement of an appropriate number of PARAFAC components imposes a problem for the model calculation. As not every single UV/Vis-absorbing species can be described by one model component, the different species need to be categorized in clusters. These clusters are formed on the basis of their similar phase behaviors among the species and shall be described by one PARAFAC component accepting inaccuracies in the spectral prediction. This simplification of the variety of species to several clusters introduces an error into the model. However, if the target molecule undergoes a phase transition and contributes strongly to the measured spectral data set, the focus of the PARAFAC models is to find the target molecule in any phase behavior screening study. Further strategies (Smilde et al., 2004) to determine the correct number of PARAFAC components are e.g., half-splitting and comparing the experiments (Bro, 1997), evaluating residuals (Smilde and Doornbos, 1992; Bro, 1997), and the CORCONDIA value (Bro and Kiers, 2003). More information on finding suitable preprocessing (Bro, 1998; Bro and Smilde, 2003) and model calculation parameters (Bro, 1997; Murphy et al., 2013) can be found elsewhere.
In crystallization or precipitation screenings, it can be expected that the protein concentration decreases to the solubility line with increasing precipitant or protein concentration due to the decreased protein solubility, which results in protein crystallization (Asherie, 2004; Baumgartner et al., 2015) or precipitation (Wingfield, 1998; Burgess, 2009; Watanabe et al., 2009). In the case of selective crystallization or precipitation processes, the phase behavior is protein-specific and can be used for protein purification. This theoretical process knowledge can be included in the choice of the PARAFAC model.
The spectral data set for the first case study was recorded for a HT-selective crystallization screening of Lys in a ternary protein system. In total, 96 conditions were screened varying the initial Lys concentration and precipitant concentration. The initial concentrations of the two other proteins (RibA, CytC) were maintained constant in all screened conditions. As the calculation of PARAFAC models with three components did not lead to a robust model, a model with two components was calculated (see ). Evaluating , one component can be identified as the target molecule Lys; the other one as a contaminant cluster resembling mainly CytC. It is assumed that the absorbance contribution of the third species RibA is built into a contaminant cluster (Yang et al., 2015), and that this third species is not described as a single model component. It contributes to a smaller extent to the UV/Vis spectra due to the lower extinction coefficient in the investigated wavelength range (3.8 and 2.8 times lower at 280 nm than for Lys and CytC) and lower concentration (up to 7.5 times lower than the Lys concentration). Furthermore, the protein concentrations of CytC and RibA do not change during the screening, contrary to the target protein Lys (see Wegner et al. (2022) for further explanation). As a consequence, the model cannot distinguish species demonstrating similar phase behavior. This shows that low-absorbing species are difficult to describe with an own model component, and that species with similar phase behavior can be clustered justifying species clustering in screenings with complex solutions.
The selective precipitation study of mAbs leads to a spectral data set, which can be described by a PARAFAC model with three model components (see ). One component represents the target molecule mAb, the other two the AMS concentration and a contaminant cluster. The time profile of the mAb component in may be caused by the changing light refraction when a solution with a high AMS passes the detector (see Subchapter 4.2). Another possible source could be different product-related impurities, e.g., aggregates, fragments, as they would show a mAb resembling spectrum, but different retention times in the analysis system due to diffusion. Below the AMS concentration of 0.5 mol the mAb species is overestimated and the contaminant cluster is underestimated by the PARAFAC model in . In , the two model components show the same effects above 1.4 mol AMS. A possible explanation of these contrasting model discrepancies of the measured to the predicted data is that the predicted mAb UV/Vis spectrum is overestimated below 270 nm leading to inverse effects on the concentration loadings of the mAb and contaminant component. As a result, the spectral loadings of the contaminants may be incorporated in the predicted mAb spectrum and distort the concentration loadings of both species–the target molecule and the contaminant cluster. This effect is more pronounced at higher absorbance values and thus higher protein concentrations.
The protein A chromatography gave further information on the composition of the contaminants during the precipitation, wash, and redissolution step. provides information on the main contaminant cluster during the precipitation and during the redissolution step. This means that the co-precipitated contaminant cluster during redissolution cannot be distinguished from the target molecule.
The PARAFAC model of the selective VLP precipitation HT screening could be calculated with three model components (see ). One component describes the VLP species while the other two describe two contaminant clusters. Assessing the concentration loadings of all three PARAFAC components in , the predicted species show different phase behaviors with increasing precipitant concentration. This enables the use of a selective VLP precipitation step for purification. Regarding the screened redissolution samples in , the predicted concentration loadings of the VLPs and first contaminant cluster increase above the same precipitation threshold in . The second contaminant cluster shows a slight concentration increase at higher precipitant concentration meaning that this cluster was redissolved and thus precipitated at a higher precipitant concentration. This does not comply with the phase behavior during the precipitation step, and it is expected that this discrepancy is caused by model inaccuracies. This assumption is supported by the highest residuals of this model to the measured summed up spectra for the investigated redissolution samples above the stated threshold (data not shown). Overall, the predicted VLP spectral loadings match the measured VLP spectrum (see ). Discrepancies are visible in the regression plot (see ) only at the higher or lower values of the spectral loadings. Compared to the first and second case studies, the R 2 value of the third case study for the spectral loadings is lower indicating a greater deviation of the predicted spectra to the measured spectrum. The highest RMSEP is partially caused by the different scale and the model mismatch which can be seen in . Additionally, the required preprocessing of the VLP screening data included the second derivative to enhance subtle spectral differences between the screened solutions. The spectral preprocessing may lead to higher discrepancies in and lower accuracy compared to the first and second case studies, but led to a robust model.
In summary, the choice of the correct model component and preprocessing techniques is crucial for the model outcome. These need to be selected with care when the investigated screening solutions involve complex solutions. Theoretical knowledge of selective precipitation and crystallization processes helps finding valid PARAFAC models. Nonetheless, the species in complex solutions demonstrating similar phase behavior can be clustered and described by one model component. In the case of co-precipitation of contaminants with the target molecule, the model may merge the spectra of these species in the predicted spectral loadings.
4.3 Experimental and preprocessing differences between the case studies
The experimental setup and the spectral data preprocessing of each case study required adjustments to the specific protein system. This subchapter focuses on the preprocessing differences between the investigated case study, the experimental screening variations between selective crystallization and selective precipitation studies, and their possible effect on the calculated PARAFAC models.
The time smoothing range for the final models of the crystallization case study was lower than for the precipitation case studies (see ). The four times higher flow rate of the UV/Vis spectral analysis in the first case study is the reason, as the sample passed by the detector in a shorter time (compare , , and ) as the time-resolved, spectral information of the sample is comparable between the case studies after preprocessing. Longer time-wise smoothing may lead to the removal of important information for the model calculation. The selected wavelength range for the first case study was broader than for the other two (see Subchapter 2.4.1) since CytC was present in the first case study and has a second absorption maximum at 410 nm.
The third case study required the calculation of the second derivative (see ). Possible reasons could be that the target molecule VLP did not present distinct spectral differences to the contaminants (Mach et al., 1989) or contributed less to the measured spectra compared to target molecules of the first and second case studies. The target protein absorption shares of the initial material was high with 89.24% and 42.82% for the first and second case study, respectively. The VLP absorption share could not be determined as quantitative UV/Vis absorption data as a reference were missing. The large amount of UV/Vis-absorbing contaminants in the VLP lysate may interfere with the identification of the component representing VLPs. The differences in the time profile peak maxima of the target molecules compared to the contaminants support this assumption (see , , and ).
For each case study, the buffer system was adapted to the requirements of the target molecule. The buffer substances were not UV/Vis-active in the used concentration and did not affect the model calculation.
On the contrary, the precipitant AMS showed UV/Vis-absorbing behavior in the second case study and had an impact on the constructed models. A possible reason could be that the light refraction occurs when solutions of different density (mobile phase and sample solvent) pass the detector (Raval and Patel, 2020). This strongly depends on the screening AMS concentration and the sample dilution prior to the UV/Vis analysis. In the first case study dealing with the selective crystallization of Lys, the maximal screening AMS concentration was four times lower than in the second and third case studies.
The dilution factors for the first, second, and third case studies varied (see Subchapter 2.2) and were adjusted according to the total absorbance of the initial material at wavelength 280 nm. Taking all these factors into account, the analyzed samples of the second case study (mAb) contained the highest AMS concentration and thus the AMS concentration contributed to a greater extent to the recorded UV/Vis spectra. The constructed model compensated this by describing the precipitant concentration with its own model component (see ). UV/Vis data recorded of buffer solutions containing different amounts of AMS is shown in Supplementary Figure S1 and support this explanation.
The screening volume, screening size, and the analyzed process step solutions differed. The first case study (Lys crystallization) investigated 96 different conditions in 24 µl batches with eight different Lys starting concentrations and twelve precipitant concentrations. Only the supernatant samples of the crystallization step were analyzed. The spectral data set size was varied in this case study. Screening conditions that did not show concentration changes of the target molecule were excluded for model calculation. It was found that a large screening size with little variety in species composition and concentration ratios does not improve the model robustness but decreases the CORCONDIA value and increases the model error (data not shown). Preferably, the model error is low and the CORCONDIA high indicating an appropriate component number (Bro and Kiers, 2003) and, hence, a valid model. The second and third case studies screened twelve different precipitant concentrations in 500 µl batches for the selective precipitation of mAbs and VLPs. Samples were analyzed during the precipitation, the wash, and the redissolution step leading to a variety of 36 analyzed samples per screening differing in species compositions and concentration ratios. This sample variety improved the model calculation as the CORCONDIA of the final models was higher and the model error lower for the second and the third case studies.
The screening volume did not affect the spectral data set or the model calculation as long as there is enough supernatant for sampling.
When selective crystallization or precipitation processes are characterized with the PARAFAC approach, the models cannot detect if the proteins crystallized or precipitated, as the generated models rely solely on the UV/Vis spectroscopic data set and specific protein concentration reductions. Regarding the experimental differences between the two processes, an additional centrifugation step is required to separate precipitate from the supernatant. Furthermore, the crystallization process requires more time than precipitation processes due to the time-intensive crystal nucleation and crystal growth of macromolecules (Durbin and Feher, 1996; McPherson, 2004).
In summary, these three case studies illustrate how the chemometric multi-way approach of PARAFAC can be applied to different phase behavior screenings with varying process conditions. The differences in spectral data preprocessing could be explained leading to a general preprocessing approach for future crystallization and precipitation screenings. Experimental differences in scale, sample dilution, screening size, and changes of the used chemicals did not interfere with the model calculation as long as the spectra of the target molecule and contaminant species contribute to the UV/Vis spectral measurement and differ in their spectral profiles. A broad variation of the different species concentrations and ratios in the data set was found to be preferred and can be achieved by analyzing different process solutions during selective precipitation or crystallization, washing, and redissolution process steps.
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Degrowth is an idea that critiques the global capitalist system which pursues growth at all costs, causing human exploitation and environmental destruction. The degrowth movement of activists and researchers advocates for societies that prioritize social and ecological well-being instead of corporate profits, over-production and excess consumption. This requires radical redistribution, reduction in the material size of the global economy, and a shift in common values towards care, solidarity and autonomy. Degrowth means transforming societies to ensure environmental justice and a good life for all within planetary boundaries.
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Degrowth
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https://degrowth.info/en/signatories-open-letter
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Signatories - Open Letter
The letter has been published 18 languages, particularly in openDemocracy (UK), Mediapart (France), The Wire (India), HGV (Hungary), Pagina 12 (Argentina), Yeşil Gazete (Turkey) and ctxt (Spain) among other media outlets.
Signing organizations (74)
Active Unemployed Austria
AgroEcoPolis – Hellenic Network for Agroecology, Food Sovereignty & Access To Land
Allerweltshaus Köln e.V. – Germany
Aristotle University of Thessaloniki, Political Sciences – Greece
Asociația Mai Bine – Romania
Assemblea Ecologista UAB – Spain
Associazione per la decrescita – Italy
Attac Austria
Attac Germany
AUTH, Hellenic Open University – Greece
Brisbane Tool Library – Australia
Cargonomia, Research and Experimentation Center on Degrowth – France/Hungary
Casa Aarmaluz, Organización de Educación Acción Comunitaria del Pueblo Originario de San Pedro Cuajimalpa – Mexico
Centro de Análisis Socioambiental – Chile
CATAPA – Belgium
Col•lectiu Soterranya – Spain
Collectifs contre les Grands Projets Inutiles et Imposés (Collectives against Unnecessary and Imposed Big Projects) – France
Décroissance Le Havre – France
Degrowth Vienna – Austria
Degrowth.info
Department of Environmental Studies, Masaryk University, Brno – Czech Republic
Earth Thrive – UK/Serbia
Écologiste Insoumis – France
Economy for the Common Good, Local Chapter Kassel – Germany
Emagine Life – Belgium
Emancipation Collective – France
Förderverein Wachstumswende – Germany
Friends of the Earth – Denmark
Fundación Terrasapiens – Ecuador
GAIA Environmental Action and Intervention Group – Portugal
Gaiamocracy e.V. i.G. – Germany
Group of Scientists and Engineers for a Non Nuclear Future
Iliosporoi Network – Greece
IMPACT DOC – The Netherlands
Institute for degrowth studies / Institutet för nerväxtstudier (Organisers of the 6th International Degrowth Conference) – Sweden
Institute for Economic Research on Innovation – South Africa
Institute for Social Solidarity
ISDE Italia
Kalpavriksh (Environment Action Group) – India
La Transicionera – Spain
Les Amis de la Décroissance Nancy – France
Maison Commune de la Décroissance (Common House of Degrowth) – France
Manantial activist group – Mexico
Mouvement politique des objecteurs de croissance – Belgium
Movimento per la Decrescita Felice – Italia
Musaa Mujeres Por La Sosteniblidad Ambiental Y Alimentaria (Women For Environmental And Food Sustainability)
NetHood Zurich – Switzerland
New Wind Association
NGO Earth Thrive – Serbia
NISER – National Institute of Science Education and Research – Bhubaneswar, India
Ontgroei, the Dutch Degrowth Platform – The Netherlands
Our Future Leeds
P2P Lab – Greece
Parti Pour La Décroissance – France
Pierre Sèche – Aménagements Lithiques et Patrimoine Rural – France
Plataforma Vecinal y Observatorio de la Colonia Juarez – Mexico
Post Growth Institute – USA
Post-Growth Zürich – Switzerland
Projet Decroissance – France
Rede Para O Decrescimento – Portugal
Research and Degrowth – Spain
Rethinking Economics Antwerpen
Revo Prosperidad Sostenible – Spain
Rizoma Field School – Uruguay
Robur op Den Eik vzw (Robur at The Oak, NGO) – Belgium
SCORAI, And Beauty for All, Bread and Roses Party – United States
Secretariado Social Mexicano
Solidaritat i Comunicació – SICOM – Spain
STEILAS – Teachers Trade Union, Basque Country – Spain
The Hague International Degrowth Conference Organising Committee – The Netherlands
Theologien – Switzerland
Transition Edinburgh – Scotland
Un Projet de Décroissance – France
Universidad De La Tierra En Puebla – Mexico
Verein zur Erhaltung und Erschaffung tropischer Wälder e.V. – Germany
West Midlands One Planet Living Alliance – UK
WorldSummit Movement – The Netherlands
List of signatories (2056)
Aaron Vansintjan
Abha Bhaiya
Abigail Fowler
Adela Riber
Adele Roccato
Adeline Deheunynck
Adeline Grand-Clément
Adrià Garcia I Mateu
Adrián Almazán
Adrián Figueroa Hernández
Adrian Schlegel
Adrian Smith
Aécio Alves de Oliveira
Ágnes Medve
Agnese Casadei
Agnese Mariotti
Agnese Paganin
Agnese Targetti
Agneta Timotej
Agnieszka Hensoldt
Agurtzane Alonso
Agustín Bernal
Ahmad Alkhatib
Aicha Squalli
Aida Bañeres
Aida Luz Lopez
Aili Pyhälä
Aimilia Voulvouli
Ainhoa Mendizabal Bañales
Ajda Pistotnik
Alan Gallart
Alba Granados Agüero
Alberto Acosta
Alberto Cattaneo
Alberto Cortes
Alberto Fiori
Alberto Huerta Morales
Alberto Lomas
Alberto Palumbieri
Aldo Giuseppe Scarpa
Alejadro García Núñez
Alejandra Barrera
Alejandra Sorolla
Alejo Kraus-Polk
Alekos Pantazis
Alessandra Bianchi
Alessandra Bozzato
Alessandra Gasparini
Alessandra Morselli
Alessandra Petrelli
Alessandra Piccoli
Alessandro Baldussi
Alessandro Brollo
Alessandro Fossati
Alessandro Gambelli
Alessandro Maini
Alessandro Palumbo
Alessandro Passaro
Alessandro Pecis Cavagna
Alessandro Ruta
Alessandro Verdecchi
Alessia Manzoni
Alessia Martelli
Alessia Vivaldi
Alessio Franceschini
Alex Jensen
Alex Lopez
Alex Samaniego
Alexander Behr
Alexander Dunlap
Alexander Paulsson
Alexandra Köves
Alexandra Strickner
Alexandre Christoyannopoulos
Alexandros Kioupkiolis
Alexis Martin
Alexis Roy
Alfio Magnesi
Alfio Minissale
Alfonso Quiroz
Alfonso Rodríguez Dono
Alfredo De Giovanni
Alfredo F. Ojanguren
Ali Serrano
Alianza De La Costa Verde
Alice Croci
Alice Damiano
Alice Franzoni
Alice Olivieri
Alice Quitadamo
Alice Sanzeni
Alice Sotgia
Alice Traini
Alicia Björnsdotter
Alicia Fernández
Aline Vieira Araujo Barrence
Alison Adams
Alva Zalar
Alvaro Castañón Seoane
Alvaro Perez
Amalendu Jyotishi
Amanda Marple
Amanda Mercedes Gigler
Amarendra Das
Ami Golland
Amr Khafagy
An Cliquet
Ana Alonso
Ana Caren Alvarado González
Ana Casquete
Ana Díaz Vidal
Ana Maria Peredo
Ana Pagan Mena
Ana Poças
Ana Sundvall
Ana Ubeda
Anabel Vigil Villodres
Anahí Hernández
Anaïs Tilquin
Analia Gonzalez
Anca Elena Gheorghică
Anders Dahlner
Anders Hayden
Andra Bria
André Barata
André Francisco Pilon
André Hurst
Andrea Clo’
Andrea Di Giacomo
Andrea Fernandez
Andrea Franceschini
Andrea Jany
Andrea Levy
Andrea Lizzio
Andrea Ottaviano
Andrea Pirozzi
Andrea Rigon
Andrea Targetti
Andrea Van Acker
Andrea Zinelli
Andrea(S) Speck
Andreas Exner
Andreas Novy
Andreas Roos
Andreas Zaunseder
Andrej Fideršek
Andres Jorge Puliy Vega
Andrew Cosper
Andrew Yarak
Andro Rilović
Andy Harrod
Angel Alvarez
Ángel Lezcano Orús
Angela Antonucci
Angela Druckman
Angela Geremia
Angela Gozzi
Angela Pinzani
Angela Ruggiero
Angelina Kussy
Angelo Mecca
Angelo Paganin
Angelo Toma
Angelos Varvarousis
Àngels Gabarró
Aniello De Padova
Anita Dauvergne
Anita Scharl
Anitra Nelson
Ann Kolodziejski
Anna Bokström
Anna Haley
Anna lorena luperto
Anna M. di Stefano
Anna Negri
Anna Pelosi
anna rosa costa
Anna Ruocco
Anna Santoro
Annalena Rommel
Annalisa Mandurrino
Annalisa Starace
Annalisa Tortoriello
Annamaria Bonito
Annamaria Visconti
Anne Billen
Anne Jacobi
Anne Löscher
Anne Martine Humblet
Anne Snick
Anne Winther
Annelies Broekman
Annie James
Anniek Vetter
Anselmo Simone
Anto Colombini
Anton Brokow-Loga
Antonella Corradossi
Antonella Pianca
Antonia Bellido Ramírez
Antonia Cucinotta
Antonino Santospagnuolo
Antonio Gambino
Antonio Gesmundo
Antonio Malo Larrea
Antonio Montaña Vázquez
Antonio Papa
Antonio Rossetti
Anya Verkamp
Araceli Guzman
Areti Mathioudaki
Ariane Gagnon-Légaré
Ariane Geiser
Arianna caruso
Arianna Farina
Arianna Scoglio
Ariele Trettel
Arild Vatn
Arlem Islas
Arlene Fay Duff
Armando Astudillo Gonzalez
Armando Chávez Hernández
Armando Luis Fernandez Soriano
Arnaud Theurillat-Cloutier
Arndt Jacobi
Arnim Scheidel
Arnisson Andre Ortega
Arnoud Lagendijk
Arpita Bisht
Arturo Escobar
Åsa Callmer
Åsa Nyblom
Ashish Kothari
Ashley Colby
Asier Arias Domínguez
Astrid Kause
Aunindo Ghosh
Aurora Piaggesi
Azam Geneviève
B.Sebastian Lauvrak
Bakou Mertens
Banu Can
Barbara Janssens
Barbara Magalhaes Teixeira
Barry Gills
Barry Greenwood
Basak Bartu
Baur Patrick
Beatrice D’Antonio
Becky Clausen
Becky Miller
Begoña Escrig
Begüm Özkaynak
Belén Pardo
Ben De Groeve
Ben Robra
Benedetta Turelli
Benedikt Schmid
Benigno Martínez-Meneses
Benjamin Best
Benjamin De Bruyn
Benjamin Herrera Ramírez
Benjamin Tyl
Bennie Janssens
Benny C. Marcus
Berenice Hernández Sánchez
Berkemeier Falko
Bernadett Garzuly
Bernadette Loacker
Bernard Legros
Bernardo Severgnini
Bernd Kreutziger
Bernhard Hohmann
Berta Muñoz
Bettina Bahn-Walkowiak
Bianca Benedetti
Bill Jacobson
Birger Bumb
Bitterling Julius
Björn Barutzki
Bjørn Inge Melås
Blair Butterfield
Blanca Maris
Block Thomas
Bo Leek
Bobby Banerjee
Bonilla Fabricio
Borisssza Kitti
Bowen Gu
Boyd Rossing
Boyka Boneva
Brian Davey
Brian Fath
Brian Padilla
Brototi Roy
Bruce Braun
Bruce Glavovic
Brugvin Thierry
Brulavoine Thierry
Bruno Bartolotta
Bruno Carpani
Bussy Florent
Caitlin Cahill
Caitlin Morgan
Camila do Espírito Santo Prado de Oliveira
Camille Theron
Camilo Alvarez
Camilo Corvalan
Carl Schlyter
Carla Cirillo
Carla Maria Kayanan
Carles Garcia
Carles Rostan
Carlo Belli
Carlo Patrizi
Carlo Santarelli
Carlos Blanquer
Carlos Candel
Carlos Fernández Urosa
Carlos Jiménez
Carlos Taibo
Carlos Tornel
Carlotta Kunze
Carmen Blanco
Carmen Castaños Gómez
Carmine Arvonio
Carol Bardi
Carola Rackete
Carolina Martini
Caroline Boules
Caroline Duvier
Carolyn Kagan
Catalina Garcia
Catharina Abs
Cathérine Lehmann
Cathrin Schödler
Cecilia Maramotti
Celestino Panizza
Celina Cataldi
Celina Valadez
Céline Cantat
Chadwick Co Sy Su
Chaïm De Mulder
Chantal Bezuidenhout
Charles Duprez
Charles Guay
Charles Hall
Cheryl J. Fish
Chester Antonino C. Arcilla
Chiara Cammilleri
Chiara Caputi
Chiara Rasi
Chiarelisa Giangrande
Chitra Singh
Chris Bowden
Christian Frassineti
Christiane Brosche
Christiane Kliemann
Christie Nicoson
Christina Plank
Christina Priavolou
Christine Michielsen
Christoph Rupprecht
Christoph Sanders
Christophe Maroun
Christophe Solignac
Christopher Olk
Christos Zografos
Chrysis Caporal
Chrysostomos Galanos
Ciasca Anna Letizia
Cinzia Dotti
Cinzia Perini
Claessens Elsje
Claire Dorrity
Clara Grein
Clara Sánchez
Clare Gabriel
Claudia Ramagli
Clàudia Custodio
Claudia Delpero
Claudia fortuna
Claudia Moceo
Claudia Pandolfo
Claudio Arbib
Claudio Borsello
Claudio Caccavale
Claudio Cattaneo
Claudio Laucci
Claudio Meschieri
Claudio Naviglia
Claudio Trovato
Clive L. Spash
Colby Light
Colin Nolden
Colin Sage
Colleen Schneider
Colombina Schaeffer
compagnoni antonio
Concepcion Fuentetaja de Andres
Concha García Gonzalez
Concha Germán-Bes
Connie López
Constanza Hepp
Corinna Burkhart
Corinna Dengler
Corinna Hoermann
Cornelia Drury
Craig Adlard
Crelis Rammelt
Cristian Bacci
Cristina Ballesio
Cristina Barros
Cristina Macor
Cristina Miscali
Cristina Scapin
Cristina Zibellini
Cynthia Luderer
Daina Pupkevičiūtė
Dalena Tran
Damiano Benincasa
Dan Jakubowicz
Dana Ginevro
Dani Gomez-Olivé i Casas
Daniel Barrio
Daniel Bartel
Daniel Bergamo
Daniel Fernández Galván
Daniel Kovacs
Daniel López Mendoza
Daniel Rodríguez
Daniel Schreiner
Daniel Sloman
Daniela Antongiovanni
Daniela Danna
Daniela Tucci
Daniele Boccia
Daniele Bombardi
Daniele D’Agostina
Daniele Dallari
Daniele de Andreis
Daniele Minnone
Danila Minelli
Danilo Ferri
Danko Simic
Daria Barbieri
Daria De Angelis
Daria Martelli
Dario Carello
Dario Errico
Dario Zanchi
David Barmes
David Barns
David Bennett
David Crookall
David González de León
David Gonzalez Sanchez
David Greenlees
David Lam
David López
David Madigan
David Manuel Navarrete
David Mason
David Simancas Mendez
David Somervell
David Vanoli
David Watson
Davide Bettio
Davide Cena
Davide Cucchietti
Davide Giunzioni
Davide Lombardi
Davide Mattiello
Daviken Studnicki-Gizbert
Davis Gibbs
De Jong Vincent
De Moudt Runa
De Regil Castilla
Deborah Pizarro
Deneckere Gita
Denis-Michel Brochet
Dennis Eversberg
Deric Gruen
Desmet Dirk
Diane Gariépy
Dianella Lupo
Díaz Fernández
Diego Blum
Diego Casado-Mansilla
Diego Chuhan
Diego Loiodice
Diego Ravenda
Dieter Segert
Dilyana Angelova
Dimitra Kanidou
Dirk Van Der Roost
Domenico Nebbia
Domenico Palumbo
Domenico Serpella
Dominique Just
Donald Nolet
Donatella Ferretti
Donato Perreca
Donnie Maclurcan
Doris Fuchs
Doron Eldar
Droz Layna
Dubán Gómez
Eddy Van Hemelrijck
Edita Olaizola
Edoardo Brovero
Eduardo Missoni
Eeva Houtbeckers
Effabiel Miranda Carrasco
Effie Amanatidou
Eileen Laurie
Eirini Tzekou
Ek Del Val
Ekaterina Chertkovskaya
Ekaterina Frank
Elaine Barry
Elena Cappanera
Elena D’Aprile
Elena Lamperti
Elena Lazos
Elena Legnani
Elena Morra
Elena Quesada Molina
Eleni Markeze
Eleni Oureilidou
Eleonora Bianchini
Eleonora Bucciarelli
Eleonora Monaci
Eléonore Fauré
Elias Garcia Avila
Elif Kırpık
Elimar Pinheiro do Nascimento
Elina Hemminki
Elina Savolainen
Elisa Angilella
Elisa Castelli
Elisa Favara
Elisa Marietti
Elisa Oteros
Elisa Predonzani
Elisa Travero
Elisa Vieira Herkenhoff
Elisabeth Klatzer
Elisabeth Lagneaux
Elisabeth Murgui
Elisabeth Rudolph
Elisabetta Bonizzi
Elisabetta Grossi
Elisabetta Pollone
Elisabetta Puzone
Elizabeth A. Bennett
Elizabeth Auclair
Elke Pirgmaier
Ellen Helker-Nygren
Elli Sen
Ellie Cijvat
Elliott Young
Elyne Doornbos
Emanuela Babbini
Emanuela Somaini
Emanuela Spada
Emanuele Chiggiato
Emanuele Leonardi
Emilia Puyuelo Grasa
Emilie Robert
Emilien Gruet
Emilio Puzzo
Emilio Rabanal Menéndez
Emille Boulot
Emily Bedell
Emily Coffey
Emma Avilés
Emma Wagner
Emmanuelle Caccamo
Emmanuelle Vital
Encarna Martinez
Encarna Mendez Castro
Enrico Leorato
Enrico Pezzini
Enrique Alonso Suarez
Enrique Mejia
Eric Holthaus
Eric Holthaus
Eric Lavoie
Eric Maisonneuve
Eric Pineault
Erica Deuber Ziegler
Erica Domínguez Cervantes
Erica Kouka
Erik Assadourian
Erik Gomez-Baggethun
Erik Paredis
Erika Wadhwa
Ermanno Vitale
Ernest Aigner
Erwin Flores Tames
Esmeray Yogun
Estela de Frutos
Ester Barinaga
Ester Peretó
Ester Ramos
Ester Sarzi
Ester Scheck
Eugene Nulman
Eurico Fonseca
Eva Baldinger
Eva Daswani Campomar
Eva Fraňková
Eva Klotz
Eva Marion
Evangelia Tsiala
Evanghelia Roberta Xafis
Fabian Maier
Fabiana Alessia Fappiano
Fabien Torres
Fabio Bertini
Fabio Botticini
Fabio Campia
Fabio H. Lozano Z.
Fabio Moroni
Fabio Olivieri
Fabio Saracino
Fabio Villa
Fabiola Fregoli
Fabrice Flipo
Fabricio Bonilla
Fabrizio Cardosa
Fabrizio Fusco
Fabrizio Martina
Fany Ramos Quispe
Federica Biglio
Federico Demaria
Federico Ferrauto
Federico Savini
Federico Venturini
Felicity Roos
Felipe Alberto Corral Montoya
Felix Stroh
Felix Windegger
Fernando Cabido
Fernando Cano vidal
Fernando del Moral Suarez
Fernando Garcia Jr.
Fernando García Quero
Fernando Larrea Maldonado
Fernando Llanes
Fernando Ruiz Peyré
Ferruccio Rizzi
Fiachra O’brolchain
Filippo Adilardi d’Aquino
Filippo Canella
Filippo Facco
Filippo Tavelli
Filka Sekulova
Fiona Faye
Fiona Woods
Fiorina Antonini
Flavia Liberona
Flavio Lazos
Flavio Mongelli
Fleur Nash
Flor Mercedes Rodriguez
Flora Colacurcio
Flora Missoni
Florian Döhle
Floriana Giacchini
Foha Leaning
Fox Pfund Pulliam
Francesca Brusa
Francesca Cameirana
Francesca Cantono
Francesca Cassarà
Francesca Ciulli
Francesca de Renzio
Francesca Dell’orco
Francesca Gandini
Francesca Giolivo
Francesca Magnolo
Francesca Masocco
Francesca Monge
Francesca Pollastro
Francesca Rusconi
Francesca Sida
Francesca Tiné
Francesca Zanchetta
Francesco Africano
Francesco Calliero
Francesco Elia
Francesco Filippi
Francesco Montemurro
Francesco Pascale
Francesco Pasqua
Francesco Pinto
Francesco Sticchi
Francine Reusens
Francine Van Den Brandeler
Francis Desroches
Francisco Carballo
Francisco J. Montoro-Ríos
Francisco Latorre
Francisco Reina
Francisco Rivero
Francisco Sarda Amills
François Briens
François Briens
Francois Longerinas
Françoise Gollain
Frank Adloff
Frank Antonson
Frank Pallares Custodio
Frederic Boone
Freya Higgins-Desbiolles
Fuli Zavitsanou
Fulvia Ferri
Gabriel Esber Elias
Gabriel Eyselein
Gabriel Trettel Silva
Gabriela Baeza
Gabriela Cabaña
Gabriela Quintana
Gabriele Barbera
Gabriele Corucci
Gabriele Del Gaudio
Gabriella Cazzaniga
Gaël Plumecocq
Gaia Del Zoppo
Galina Kallio
Gardiana Bandeira-Melo
Gaukhar Chekembayeva
Gauthier Guerin
Gea Cristofaro
Gemma Chiara Cantarella
Geneviève Chagnon
Genevieve Nolet
Geoff Mosley
Geoffrey Garver
Georg Hauptfeld
Georg Kaser
George Kokkinidis
George Monbiot
Georgia De Leeuw
Georgina Flores Mercado
Georgios Kolempas
Gerald Hofbauer
Gerard Encabo
Gerardo Ezequiel Martín Carreño
Gerd Poell
Gerhard Schneider
Germain Fontenit
German Virguez
Giacomo Loffredo
Giacomo Strappaveccia
Giacomo Triggiani
Gian Francesco Gola
Giancarla Cortinovis
Giancarlo Boffelli
Gianfranco Carboni
Gianfranco Di Caro
Giangiacomo Guglielmini
Gianluca Cavaliere
Gianni Brianese
Gianni Martin
Gianni Zuppiroli
Gijs Spoor
Gil Hortal Janer
Gilberto Pierazzuoli
Gilda D’Elia
Gilly Montgomery
Giorgos Kallis
Giorgos Koukoufikis
Giovanna Brucoli
Giovanni Avallone
Giovanni Luca Palmieri
Giovanni Meregalli
Giovanni Montesano
Giovanni Tancredi
Giulia Bassoli
Giulia Irene Aiello
Giulia Mariani
Giulia Testi
Giuliano Garagnani
Giulio Casini
Giulio Dolfini
Giuseppe Cenci
Giuseppe Feola
Giuseppe Notarfrancesco
Giuseppina Leggeri
Gleizes Jérôme
Gloria A. Carmona
Gloria Gelmi
Gloria Prentice
Gorka Muñoa
Gouri Ramkumar
Greet Michielsen
Gregory Thompson
Grettel Navas
Guido Sigismondo
Guido Viero
Guillaume Bazire
Guillermo Bermúdez Garza Ramos
Guillermo Diaz
Guimel Castanyer
Gunilla Ryd
Gunseli Berik
Gurden Batra
Gustavo Ampugnani
Gustavo García López
Habib Bardi
Halil Kagan Tezer
Halliki Kreinin
Hamelle Louis
Hanna Guttorm
Hannah Marsden
Hanne Cottyn
Hanne Svarstad
Hannes Vetter
Hans Eickhoff
Hans Stricker
Hans Volmary
Hardaker Sina
Harpages Didier
Harry Wells
Harsh Kapoor
Hazel Nendick
Heather Leslie
Héctor Escudero Leiva
Heinz Wittenbrink
Helen Jarvis
Helena Fernández Carmena
Helena Revrenna
Helohim Jair Abraham Valdés Sánchez
Hendrik Theine
Henk Renting
Henri Wiman
Henriette Rios
Henrik Sundström
Herzog Anna
Hilde Kloeck
Hoebeke Piet
Homero Aridjis
Hoppe-Seyler Annika
Horacio Almanza Alcalde
Horst Treiblmaier
Hubert Buch-Hansen
Humberto Fernandez-Borja
I-Liang Wahn
Ian Gerson
Ida Barbati
Ida Merello
Ignacio Oyanguren
Ignacio Peon
Ignasi Puig Ventosa
Igor Giussani
Igor Simoni Homem De Carvalho
Ilaria Perissi
Ilaria Visconti
Ine Beerten
Inés Astorga
Inês Cosme
Ines Omann
Ines Sorlat
Inge Røpke
Ingeborg Vandenbulcke
Ingrid Recchia
Iñigo Antepara
Iñigo Capellán Pérez
Ira Freude
Irene Bardazzi
Irene Herrera
Irene Ingardi
Irene Sanchis
Isaac Cereijo Saura
Isabel Fernández
Isabel López
Isabel Palomera
Isabella Blair
Isabella Fazio
Isabella Tomassi
Isabelle Anguelovski
Ishaan Aggarwal
Italo Piatti
Ive Van krunkelsven
Ivette López
Ivo Ponocny
Jaap Fris
Jabot Richard
Jacek Schindler
Jacky Smith
Jacob Hasselbalch
Jacob Smessaert
Jacopo Richard
Jahnavi Pai
Jaime Paneque-Gálvez
Jakob Sparn
Jakub Rok
Jamie Kneen
Jamie Morgan
Jan Altnickel
Jan Blažek
Jan Henningsen
Jan Orbie
Jan Streeck
Jan Vávra
Jana Gebauer
Jana Groth
Jane Carr
Janet Molina Maturano
János Sebestyén
Jaro Berce
Jarrige François
Jasmine Black
Jason Hickel
Javier A. Mejia Santellanes
Javier Hedo
Javier Losada
Javier Torres Espino
Javier Ureña Olivera
Jay Lucien
Jayeon Lindellee
Jayne Greenwood
Jean Boucher
Jean François Billeter
Jean Paul Van Bendegem
Jean Pierre Wilmotte
Jean Ziegler
Jean-François Boisvert
Jean-Louis Aillon
Jean-Michel Hupé
Jean-Pierre Lemaire
Jeanne-Marie Van De Vliet
Jeffrey Althouse
Jefim Vogel
Jen Dyer
Jennifer Hinton
Jennifer Jendreizik
Jennifer Mateer
Jenny Gellatly
Jenny Gkiougki
Jens Friis Lund
Jens-Eberhard Jahn
Jeremie Cave
Jeremy Bouchez
Jessica Böhme
Jessica Ham
Jessica Mancini
Jessica Mcgarty
Jessica Trivellin
Jesus Gayoso Alvarez
Jesús Valencia
Jimy Corcelles i Seuba
Jin Xue
Jiří Marek
Jo Tait
Joan Batlle Vives
Joan Bosch
Joan Martinez-Alier
Joan Moranta
Joan Salabert Loscos
Joana Campos
Joanna Picetti
Joaquim Corominas
Joaquín Giró Miranda
Joaquín Puch
Jocelyne Sze
Joe Ament
Joe Herbert
Joël Foramitti
Joëlle Saey-Volckrick
Joey Ayoub
Johan Enqvist
Johanna Blomberg
Johanna Caminati Engström
Johanna Hopp
Johannes Stangl
Johannes Thema
John Cockburn
John De Graaf
John Foran
John Holten-Andersen
John Langmore Am
John Lodenkamper
Jolien Paeleman
Jón Guðmundsson
Jon Richter
Jonas Ott
Jonas Paintner
Jonas Van Der Slycken
Jonathan Marc Headley
Joo-Hyoung Ji
Joost De Moor
Jordi Honey-Rosés
Jorge Antolín
Jorge Arche Fernández
Jorge Carlos Salas Hernández
Jorge Carrasco Badia
Jorge Herrera Velasco
Jorge Mari
Jorge Min Hui Zhou
Jorge Pinto
Jorge Revuelta
Jorge Riechmann
Joris Claeys
Jose Anastasio Urra-Urbieta
Jose Ángel Quintana Cilleruelo
José Augusto Lacerda Fernandes
Jose Carlos Silva-Macher
Jose De Carvalho Paixao
José Dixneuf
José Enrique González Ruiz
Jose Fuca
Jose Guadalupe Sanchez Suarez
José Julio Ferraz De Campos Jr
Jose Luis Bueno Mingallón
José Luís Garcia
José Luis García Valero
José Luis Gómez
José Luis Rico Robert
Jose Manuel Domínguez
José Manuel Lamuela Losada
Joseba Azkarraga-Etxagibel
Josée Provençal
Josef Zisyadis
Josep Itxart Romagosa
Josep Miquel Raventós
Josep Puig Boix
Joseph Xavier
Josh Render
Joshua C Farley
Joshua Lohnes
Josua Gräbener
József Veress
Juan David Reina Rozo
Juan Hernández Zubizarreta
Juan Jesús Larrabeiti
Juan José Agustín Reyes Rodríguez
Juan Manuel Moreno Almansa
Judith Maschke
Judith Schicklinski
Julia Backhaus
Julia Halbauer
Julia Karch
Julia Kolbinger
Julia Litofcenko
Julia Mcclure
Julia Radlherr
Julia Steinberger
Julia Teschendorff
Julian Carrey
Julian Dobson
Julián Hernando Clavijo Angarita
Julian Lauten-Weiss
Juliana Coelho Marcussi
Juliana Rodrigues
Julie Carlier
Julien Vastenaekels
Julien-François Gerber
Jutta Besse
Kai Kuhnhenn
Kai Vaara
Kaitlin Kish
Kajsa Oehm
Karen Foster
Karim Benali
Karin Bradley
Karina Lopez
Karina Schell
Karl Krähmer
Karlijn Van Den Broeck
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https://www.peekyou.com/simone_kern
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Simone Kern Facebook, Instagram & Twitter on PeekYou
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Looking for Simone Kern? Found 2 people named Simone Kern along with free Facebook, Instagram, Twitter, and TikTok profiles on PeekYou - true people search.
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en
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/favicon.ico
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PeekYou
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https://www.peekyou.com/simone_kern
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What is Simone Kern's famous for?
Simone Jeanet Kennedy-Doornbos is a Dutch politician of the Christian Union. Raised in a Reformed family in 't Harde, Kennedy studied medical biology at the University of Amsterdam. As a student, she ran for the municipal council of Amsterdam in 1991 as the lead candidate of the Reformed Political League (GPV) – a precursor of the Christian Union. She married historian James Kennedy in 1994, and the couple moved to Iowa that same year.. You can find more here.
Are PeekYou social results accurate?
PeekYou is a free people-focused search engine that uncovers information typically buried by other search engines. Its clean and user-friendly format makes it easy to navigate. The platform offers accurate data and conveniently links to an individual's social media profiles and other public websites with which they are associated.
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https://www.ask-oracle.com/city/kampen-overijssel-netherlands/
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Kampen, Overijssel, Netherlands
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2012-01-31T06:02:43+00:00
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Kampen,Кампен
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en
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Ask Oracle
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https://www.ask-oracle.com/city/kampen-overijssel-netherlands/
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Kampen, located in Overijssel, Netherlands, is a charming Hanseatic city situated at the confluence of the IJssel and Vecht rivers. Its rich history, dating back to the 12th century, is evident in its well-preserved medieval streets, historic churches, and iconic city gates. The city experiences a temperate climate, with mild winters and warm summers.
Geographic Data for Kampen, Overijssel, Netherlands
Latitude 52° 33.300' Longitude 5° 54.667' Timezone Europe/Amsterdam
Numerology for Kampen, Overijssel, Netherlands
Chaldean Name Number : 25 => 7
Pythagorean Name Number : 6
Kampen might be an ideal location for individuals whose birth number or life path numbers align with the values shown above.
Famous Persons from Kampen, Overijssel, Netherlands
Tom van der Weerd - Born on April 23, 1995 - Radio DJ
Marissa Grasdijk - Born on November 19, 1993 - Singer
Anne Appelo - Born on September 1, 1991 - Television presenter, Singer, and Actor
Bianca Roosenboom - Born on August 1, 1989 - Inline speed skater, and Speed skater
Mark Ridderhof - Born on April 25, 1989 - Basketball player
Thomas Koelewijn - Born on December 18, 1988 - Volleyball player
Roy van den Berg - Born on September 8, 1988 - Track cyclist - Knight of the Order of Orange-Nassau
Henrico Drost - Born on January 21, 1987 - Association football player
Jeroen Drost - Born on January 21, 1987 - Association football player
Dirjanne van Drongelen - Born on July 15, 1986 - Coordinator, and Politician
Oğuzhan Türk - Born on May 17, 1986 - Association football player
Erik Rotman - Born on January 20, 1986 - Association football player
Gerben Last - Born on October 19, 1985 - Table tennis player - Paralympic bronze medal | Paralympic silver medal | Paralympic gold medal
Willy Kanis - Born on July 27, 1984 - Track cyclist, Bobsledder, and Sport cyclist
Kristian Westerveld - Born on December 11, 1983 - Association football player
Eef Haaze - Born on August 11, 1982 - Kayaker
Kinga Bán - Born on July 27, 1981 - Singer (died: May 6, 2019)
Rikko Voorberg - Born on December 9, 1980 - Christian minister, Theologian, and Columnist
Stef Ekkel - Born on August 9, 1980 - Singer
Cem Ulucan - Born on November 18, 1979 - Video artist
Duncan van Moll - Born on October 30, 1979 - Association football player
Hilde Palland - Born on September 13, 1979 - Politician - Knight of the Order of Orange-Nassau
Marcel Visscher - Born on December 5, 1977 - Actor
Robert de Wilde - Born on April 30, 1977 - Sport cyclist
Pieter Jouke - Born on December 4, 1973 - Cabaret performer, Presenter, and Television presenter
Gerald van den Belt - Born on August 24, 1972 - Association football player
Jaap Stam - Born on July 17, 1972 - Association football player, and Association football coach
Henry van der Vegt - Born on February 18, 1972 - Association football player
Simone Kennedy-Doornbos - Born on December 19, 1970 - Travel agent, Biologist, Translator, and Politician
Jasja Nottelman - Born on February 8, 1970 -
Petra van Staveren - Born on June 2, 1966 - Swimmer - Knight of the Order of Orange-Nassau
Dick Tuinder - Born on December 28, 1963 - Video artist, Visual artist, Film director, and Screenwriter
Ine van der Sluis - Born on June 14, 1960 - Ceramicist
Aleid Wolfsen - Born on February 23, 1960 - Politician, and Judge
Julius Visser - Born on November 16, 1959 - Photographer
Jan Koster - Born on April 12, 1959 - Photographer
Annemarie Timmer - Born on June 17, 1950 - Textile artist, and Jewelry designer
Wim van der Kant - Born on February 27, 1949 - Sculptor
Cora Tamarinof - Born on January 12, 1949 - Artist
Jannie van den Hul-Omta - Born on October 8, 1948 - Politician
Hilbrand Nawijn - Born on August 8, 1948 - Singer, Politician, and Lawyer
Henk Meutgeert - Born on December 12, 1947 - Music arranger, Bandleader, Pianist, and Composer - Knight of the Order of the Netherlands Lion | Paul Acket Award
Klaas Zwanepol - Born on December 7, 1947 - University teacher (died: June 30, 2018)
Jan Lieftink - Born on November 21, 1947 - Association football player
Eduard Wind - Born on August 24, 1947 - Sculptor
Bouke van der Kooij - Born on June 20, 1947 - University teacher, Politician, and Engineer
Johan Meijering - Born on March 19, 1947 - Art collector
Johan van Ekkel - Born on November 4, 1946 - Pastellist, Textile artist, Drawer, Sculptor, Painter, and Illustrator
Peter Fekkes - Born on March 6, 1946 - Graphic artist, and Painter
Henk Kiel - Born on September 23, 1944 - Association football player (died: March 11, 2012)
Tim Beekman - Born on January 16, 1941 - Film actor, and Actor (died: June 11, 2006)
Theo van Dijk - Born on December 17, 1940 - Carillonist, and Organist
Albert Blankert - Born on June 16, 1940 - Art historian (died: November 22, 2022)
Joop Koopmans - Born on September 1, 1939 - Non-fiction writer, Author, and Catholic priest (died: June 3, 2011)
Gerrit van Dijk - Born on August 14, 1939 - University teacher, and Mathematician (died: January 1, 2022)
Gijsbertus Mulder - Born on July 31, 1938 - University teacher (died: December 12, 1999)
Hendrik Tennekes - Born on December 13, 1936 - Meteorologist (died: July 3, 2021)
Uipko Berghuis - Born on December 18, 1935 - Photographer
Jo Esenkbrink - Born on December 6, 1933 - Sculptor (died: August 23, 1995)
Jan van Dijk - Born on May 15, 1933 - Sculptor
Cathy Ubels - Born on October 28, 1928 - Politician (died: February 17, 2015)
Theodora Jacoba Roest van Limburg - Born on June 21, 1924 - Businessperson (died: November 15, 1997)
Sybren Polet - Born on June 19, 1924 - Poet, and Writer - Herman Gorterprijs | Poetry Prize of the Municipality of Amsterdam | Busken Huet award | Dirk Martensprijs | Jan Campert Prize for poetry | Constantijn Huygens Prize (died: July 19, 2015)
Willem G. van Maanen - Born on September 30, 1920 - Journalist, Resistance fighter, and Writer - Prose prize of the City of Amsterdam | Lucy B. en C.W. van der Hoogt award | Ferdinand Bordewijk Prize | Charlotte Köhler Prize for literature | Multatuli Award | Constantijn Huygens Prize (died: August 17, 2012)
Jack Dudok van Heel - Born on September 22, 1920 - Photographer
Jan Hulsman - Born on August 27, 1919 - Military personnel - Resistance Star East Asia | Decoration for Long, Honest and Loyal Service | Oorlogsherinneringskruis (died: November 29, 1976)
Jan Izaak Samuel Zonneveld - Born on August 31, 1918 - University teacher, Geographer, and Geologist (died: June 3, 1995)
Fokko Siebold Eringa - Born on April 16, 1918 - University teacher (died: May 5, 1983)
Hendrik Jonker - Born on March 28, 1917 - University teacher (died: October 9, 1990)
Wolter Netjes - Born on September 23, 1916 - Politician - Knight of the Order of Orange-Nassau (died: November 22, 2000)
Nelletje Bannink - Born on July 18, 1916 - Salvation Army officer (died: May 1, 1997)
Batavus Westerhuis - Born on December 7, 1915 - Watercolorist, Painter, and Architect (died: July 7, 2002)
Henk Steenbeek - Born on October 17, 1915 - Resistance fighter (died: January 12, 1989)
Berend IJzerman - Born on January 14, 1911 - Resistance fighter (died: March 31, 1945)
Gerard Hengeveld - Born on December 7, 1910 - Pianist, and Composer - ANV -Visser Neerlandia-price for Music | Knight of the Order of Orange-Nassau (died: October 28, 2001)
Jetze Gerben Alberda - Born on October 6, 1910 - Military officer (died: September 18, 1944)
Cornelis de Kock - Born on November 22, 1908 - Resistance fighter, and Politician (died: September 18, 1944)
Hilbert van Dijk - Born on June 21, 1908 - Resistance fighter (died: July 16, 1944)
Pieter Jan Zuidema - Born on August 4, 1907 - University teacher (died: January 1, 1996)
Greta Leibowitz - Born on April 27, 1907 - Translator, Mathematician, and Teacher (died: March 11, 2001)
Gerrit Jan Held - Born on July 1, 1906 - Anthropologist, and University teacher (died: September 28, 1955)
Sytse Ulbe Zuidema - Born on April 22, 1906 - Philosopher, and University teacher (died: September 28, 1975)
Margaretha Brongersma-Sanders - Born on February 20, 1905 - Chemist (died: June 3, 1996)
Hens van der Spoel - Born on October 8, 1904 - Painter - Prijs van de Stichting Kunstenaarsverzet (died: July 7, 1987)
Adriaan Schuurman - Born on July 28, 1904 - Organist, and Composer (died: August 24, 1998)
Jacob van de Kamp - Born on June 5, 1904 - Chemist (died: November 22, 1973)
Wim Abeleven - Born on May 2, 1903 - Theatrical director, and Writer (died: August 18, 1967)
Places near Kampen, Overijssel, Netherlands
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https://rocketreach.co/simone-kennedy-email_334538461
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Simone Kennedy Email & Phone Number
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Get Simone Kennedy's email address (s******@anz.com) and phone number () at RocketReach. Get 5 free searches.
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https://rocketreach.co/simone-kennedy-email_334538461
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Redirecting you to the search page.
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File:Simone Kennedy
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2016-11-12T00:00:00
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https://www.famousfix.com/list/people-from-elburg
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List of People from Elburg
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The list "People from Elburg" has been viewed 0 times.
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FamousFix.com
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https://www.famousfix.com/list/people-from-elburg
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Jaap Smit Dutch, Politician
0 0
rank #1 ·
Jaap Smit (born 8 March 1957) is a Dutch preacher, manager and since 1 January 2014 the King's Commissioner of South Holland. He was previously trade union leader of the Christelijk Nationaal Vakverbond.
Jan Smallenbroek Dutch politician
0 0
rank #3 ·
Jan Smallenbroek (21 February 1909 – 29 September 1974) was a Dutch politician of the defunct Anti-Revolutionary Party (ARP) now merged into the Christian Democratic Appeal (CDA) party and nonprofit director.
Mayors in Gelderland · 18T
Aldermen in Gelderland · 19T
Municipal councillors in Gelderland · 24T
Anne van Schuppen Dutch distance runner
0 0
rank #4 ·
Antje ("Anne") Elisabeth van Schuppen (born 11 October 1960 in Doornspijk, Gelderland) is a former long-distance runner from the Netherlands, who represented her native country at the 1996 Summer Olympics in Atlanta, Georgia. There she finished in 41st place, clocking 2:40:46. She won the Rotterdam Marathon on 18 April 1993 in a time of 2:34:15. She won the City-Pier-City Loop half marathon in the Hague in 1992.
Dutch female marathon runners · 12T
Dutch female long-distance runners · 21T
Dutch sportswomen · 314T
Dick Boschman Dutch sport shooter
0 0
rank #6 ·
Dick Boschman (born 10 October 1974 in Elburg) is a Dutch sport shooter. He has been selected to compete for the Netherlands in two editions of the Olympic Games (2000 and 2004), and has won a career tally of nine medals in a major international competition, spanning the ISSF World Cup series and the European Championships. Boschman trains full-time under trainer Heinz Reinkemeier (GER) for the national team, while practicing at Oostendorp Shooting Range (Dutch: Schietvereniging Oostendorp) in his hometown Elburg.
Dutch male sport shooters · 66T
Olympic shooters of the Netherlands · 68T
Shooters at the 2004 Summer Olympics · 390T
0 0
rank #7 ·
Jacob Jan van der Maaten (Elburg, 4 January 1820 – Apeldoorn, 16 April 1879) was a Dutch painter and etcher. Van der Maaten was a pupil of Hendrikus van de Sande Bakhuyzen and studied at the Royal Academy of Art, The Hague. In 1852 he became a member of the Royal Academy of Fine Arts in Amsterdam. Later, Van der Maaten became teacher at the so-called King’s School in Apeldoorn (1866–1879).
Dutch male painters · 1,461T
Hague School · 46T
Dutch etchers · 20T
Simone Kennedy-Doornbos Dutch Christian Union politician
0 0
rank #9 ·
S.J. (Simone) Kennedy-Doornbos (born 19 December 1970 in Kampen) is a Dutch politician of the ChristianUnion (ChristenUnie). She is also a tour operator and former translator.
Municipal councillors of Amersfoort · 4T
21st-century Dutch women politicians · 194T
21st-century Dutch politicians · 593T
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https://www.famousfix.com/list/people-from-elburg
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List of People from Elburg
|
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The list "People from Elburg" has been viewed 0 times.
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https://static.famousfix.com/img/ff/favicon.ico
|
FamousFix.com
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https://www.famousfix.com/list/people-from-elburg
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Jaap Smit Dutch, Politician
0 0
rank #1 ·
Jaap Smit (born 8 March 1957) is a Dutch preacher, manager and since 1 January 2014 the King's Commissioner of South Holland. He was previously trade union leader of the Christelijk Nationaal Vakverbond.
Jan Smallenbroek Dutch politician
0 0
rank #3 ·
Jan Smallenbroek (21 February 1909 – 29 September 1974) was a Dutch politician of the defunct Anti-Revolutionary Party (ARP) now merged into the Christian Democratic Appeal (CDA) party and nonprofit director.
Mayors in Gelderland · 18T
Aldermen in Gelderland · 19T
Municipal councillors in Gelderland · 24T
Anne van Schuppen Dutch distance runner
0 0
rank #4 ·
Antje ("Anne") Elisabeth van Schuppen (born 11 October 1960 in Doornspijk, Gelderland) is a former long-distance runner from the Netherlands, who represented her native country at the 1996 Summer Olympics in Atlanta, Georgia. There she finished in 41st place, clocking 2:40:46. She won the Rotterdam Marathon on 18 April 1993 in a time of 2:34:15. She won the City-Pier-City Loop half marathon in the Hague in 1992.
Dutch female marathon runners · 12T
Dutch female long-distance runners · 21T
Dutch sportswomen · 314T
Dick Boschman Dutch sport shooter
0 0
rank #6 ·
Dick Boschman (born 10 October 1974 in Elburg) is a Dutch sport shooter. He has been selected to compete for the Netherlands in two editions of the Olympic Games (2000 and 2004), and has won a career tally of nine medals in a major international competition, spanning the ISSF World Cup series and the European Championships. Boschman trains full-time under trainer Heinz Reinkemeier (GER) for the national team, while practicing at Oostendorp Shooting Range (Dutch: Schietvereniging Oostendorp) in his hometown Elburg.
Dutch male sport shooters · 66T
Olympic shooters of the Netherlands · 68T
Shooters at the 2004 Summer Olympics · 390T
0 0
rank #7 ·
Jacob Jan van der Maaten (Elburg, 4 January 1820 – Apeldoorn, 16 April 1879) was a Dutch painter and etcher. Van der Maaten was a pupil of Hendrikus van de Sande Bakhuyzen and studied at the Royal Academy of Art, The Hague. In 1852 he became a member of the Royal Academy of Fine Arts in Amsterdam. Later, Van der Maaten became teacher at the so-called King’s School in Apeldoorn (1866–1879).
Dutch male painters · 1,461T
Hague School · 46T
Dutch etchers · 20T
Simone Kennedy-Doornbos Dutch Christian Union politician
0 0
rank #9 ·
S.J. (Simone) Kennedy-Doornbos (born 19 December 1970 in Kampen) is a Dutch politician of the ChristianUnion (ChristenUnie). She is also a tour operator and former translator.
Municipal councillors of Amersfoort · 4T
21st-century Dutch women politicians · 194T
21st-century Dutch politicians · 593T
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https://www.ranker.com/list/famous-female-politicians/reference%3Fpage%3D35
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2013-01-22T00:00:00
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From trailblazing pioneers to contemporary leaders, female politicians have played an integral role in shaping political systems and championing pressing ...
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Ranker
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https://www.ranker.com/list/famous-female-politicians/reference
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From trailblazing pioneers to contemporary leaders, female politicians have played an integral role in shaping political systems and championing pressing issues around the globe. These trailblazing women have not only shattered glass ceilings but also left an indelible mark on global politics with their astute leadership, powerful voices, and unwavering commitment to their nations and constituents.
This comprehensive compilation showcases a remarkable group of female politicians, highlighting each individual's achievements and unique impact on the political arena. Featuring leaders and changemakers from around the world, this selection provides an enlightening look at the many ways these women have forever altered the course of history, earning them a well-deserved place among the most distinguished female politicians of all time.
Among the many illustrious women politicians featured in this compilation, several stand out as particularly significant due to their groundbreaking achievements and enduring legacies. For example, Hillary Clinton, a former U.S. Secretary of State and 2016 Democratic presidential nominee, played an instrumental role in shaping American foreign policy and championing women's rights on the global stage. Nancy Pelosi, the first female Speaker of the United States House of Representatives, has been a formidable force in American politics, skillfully negotiating and legislating throughout her illustrious career. Likewise, Condoleezza Rice, who served as the first African-American woman U.S. Secretary of State, showcased her expertise in world affairs and sharp diplomatic acumen.
The inspiring legacies of these extraordinary female politicians serve as a testament to their indomitable spirit, resilience, and unwavering dedication to their respective nations and the global community. Delving into the accomplishments and milestones achieved by these trailblazers, readers are sure to gain a newfound appreciation for the inimitable contributions these famous women in politics have made. From advocating for social justice to forging new paths forward in international relations, these extraordinary women have indubitably earned their place in the annals of political lore.
|
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Violent Capitalism and Hybrid Identity in the Eastern Congo
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https://www.cambridge.org/core/books/violent-capitalism-and-hybrid-identity-in-the-eastern-congo/introduction/B8BD2CBCF24E39F5C094ABDC8C894D3F
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https://www.wikidata.org/wiki/Q11252987
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Simone Kennedy-Doornbos
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Dutch politician, tour operator and translator
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PAGE International Screenwriting Awards: Screenplay Contests
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@FlorianHarazkaiewicks
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Sometimes Always Never
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The Last Straw
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The Lightning Stone
Maria Jose Reynals
The Lincoln
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The Lodger
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Steve Milbourne
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Tony Shyu
The Magic Canvas
Russell Edwards
The Magic Carpet Adventures
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3547819/
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SIMPLE: implementation of recommendations from international evidence-based guidelines on caesarean sections in the Netherlands. Protocol for a controlled before and after study
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[
"Sonja Melman",
"Ellen NC Schoorel",
"Carmen Dirksen",
"Anneke Kwee",
"Luc Smits",
"Froukje de Boer",
"Madelaine Jonkers",
"Mallory D Woiski",
"Ben Willem J Mol",
"Johannes PR Doornbos"
] |
2013-08-29T00:00:00
|
Caesarean section (CS) rates are rising worldwide. In the Netherlands, the most significant rise is observed in healthy women with a singleton in vertex position between 37 and 42 weeks gestation, whereas it is doubtful whether an improved outcome for ...
|
en
|
https://www.ncbi.nlm.nih.gov/coreutils/nwds/img/favicons/favicon.ico
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PubMed Central (PMC)
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3547819/
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Implement Sci. 2013; 8: 3.
PMCID: PMC3547819
PMID: 23281646
SIMPLE: implementation of recommendations from international evidence-based guidelines on caesarean sections in the Netherlands. Protocol for a controlled before and after study
,#1 ,#1 ,#2 ,#3 ,#4 ,5 ,6 ,7 ,8 ,9 ,10 ,11 ,12 ,13 ,14 ,15 ,16 ,17 ,18 ,19 ,20 ,21 ,22 ,#1 ,#23 and #1
Sonja Melman
1GROW- School for Oncology and Developmental Biology, Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, P.O. Box 5800, Maastricht, AZ, 6202, The Netherlands
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Ellen NC Schoorel
1GROW- School for Oncology and Developmental Biology, Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, P.O. Box 5800, Maastricht, AZ, 6202, The Netherlands
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Carmen Dirksen
2Department of Clinical Epidemiology and Medical Technology Assessment (KEMTA), Maastricht University Medical Centre, P.O. Box 5800, Maastricht, AZ, 6202, The Netherlands
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Anneke Kwee
3Department of Obstetrics and Gynaecology, University Medical Hospital Utrecht, P.O. Box 85090, Utrecht, AB, 3508, The Netherlands
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Luc Smits
4Department of Epidemiology, Caphri School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands
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Froukje de Boer
5Department of Obstetrics and Gynaecology, University Medical Centre Groningen, P.O. Box 30001, Groningen, RB, 9700, The Netherlands
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Madelaine Jonkers
6Department of Obstetrics and Gynaecology, Ruwaard van Putten Hospital, P.O. Box 777, Spijkenisse, GA, 3200, The Netherlands
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Mallory D Woiski
7Department of Obstetrics and Gynaecology, Radboud University Nijmegen, P.O. Box 9101, Nijmegen, HB, 6500, The Netherlands
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Ben Willem J Mol
8Department of Obstetrics and Gynaecology, Academic Medical Centre, University of Amsterdam, P.O. Box 22660, Amsterdam, DD, 1100, The Netherlands
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Johannes PR Doornbos
9Department of Obstetrics and Gynaecology, Zaans Medical Centre, P.O. Box 210, Zaandam, EE, 1500, The Netherlands
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Harry Visser
10Department of Obstetrics and Gynaecology, Tergooi Hospital Blaricum, P.O. Box 10016, Hilversum, DA, 1201, The Netherlands
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Anjoke JM Huisjes
11Department of Obstetrics and Gynaecology, Gelre Hospital, P.O. Box 9014, Apeldoorn, DS, 7300, The Netherlands
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Martina M Porath
12Department of Obstetrics and Gynaecology, Maxima Medical Centre, P.O. Box 7777, Veldhoven, MB, 5500, The Netherlands
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Friso MC Delemarre
13Department of Obstetrics and Gynaecology, Elkerliek Hospital, P.O. Box 98, Helmond, AB, 5700, The Netherlands
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Simone MI Kuppens
14Department of Obstetrics and Gynaecology, Catharina Hospital, P.O. Box 1350, Eindhoven, ZA, 5602, The Netherlands
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Robert Aardenburg
15Department of Obstetrics and Gynaecology, Orbis Medical Centre, P.O. Box 5500, Sittard, MB, 6130, The Netherlands
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Ivo MA Van Dooren
16Department of Obstetrics and Gynaecology, St. Jans Hospital Weert, P.O. Box 29, Weert, AA, 6000, The Netherlands
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Francis PJM Vrouenraets
17Department of Obstetrics and Gynaecology, Atrium Medical Centre Parkstad, P.O. Box 4446, Heerlen, CX, 6401, The Netherlands
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Frans TH Lim
18Department of Obstetrics and Gynaecology, Ijsselland Hospital, P.O. Box 690, Capelle a/d Ijssel, AR, 2900, The Netherlands
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Gunilla Kleiverda
19Department of Obstetrics and Gynaecology, Flevohospital, P.O. Box 3005, Almere, EG, 1300, The Netherlands
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Paulien CM van der Salm
20Department of Obstetrics and Gynaecology, Meander Medical Centre, P.O. Box 1502, Amersfoort, BM, 3800, The Netherlands
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Karin de Boer
21Department of Obstetrics and Gynaecology, Hospital Rijnstate, P.O. Box 9555, Arnhem, TA, 6800, The Netherlands
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Marko J Sikkema
22Department of Obstetrics and Gynaecology, ZG Twente, P.O. Box 7600, Almelo, SZ, 7600, The Netherlands
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Jan G Nijhuis
1GROW- School for Oncology and Developmental Biology, Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, P.O. Box 5800, Maastricht, AZ, 6202, The Netherlands
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Rosella PMG Hermens
23Scientific Institute for Quality of Healthcare (IQ healthcare), Radboud University Nijmegen Medical Centre, P.O. Box 9101, Nijmegen, HB, 6500, The Netherlands
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Hubertina CJ Scheepers
1GROW- School for Oncology and Developmental Biology, Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, P.O. Box 5800, Maastricht, AZ, 6202, The Netherlands
Find articles by Hubertina CJ Scheepers
1GROW- School for Oncology and Developmental Biology, Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, P.O. Box 5800, Maastricht, AZ, 6202, The Netherlands
2Department of Clinical Epidemiology and Medical Technology Assessment (KEMTA), Maastricht University Medical Centre, P.O. Box 5800, Maastricht, AZ, 6202, The Netherlands
3Department of Obstetrics and Gynaecology, University Medical Hospital Utrecht, P.O. Box 85090, Utrecht, AB, 3508, The Netherlands
4Department of Epidemiology, Caphri School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands
5Department of Obstetrics and Gynaecology, University Medical Centre Groningen, P.O. Box 30001, Groningen, RB, 9700, The Netherlands
6Department of Obstetrics and Gynaecology, Ruwaard van Putten Hospital, P.O. Box 777, Spijkenisse, GA, 3200, The Netherlands
7Department of Obstetrics and Gynaecology, Radboud University Nijmegen, P.O. Box 9101, Nijmegen, HB, 6500, The Netherlands
8Department of Obstetrics and Gynaecology, Academic Medical Centre, University of Amsterdam, P.O. Box 22660, Amsterdam, DD, 1100, The Netherlands
9Department of Obstetrics and Gynaecology, Zaans Medical Centre, P.O. Box 210, Zaandam, EE, 1500, The Netherlands
10Department of Obstetrics and Gynaecology, Tergooi Hospital Blaricum, P.O. Box 10016, Hilversum, DA, 1201, The Netherlands
11Department of Obstetrics and Gynaecology, Gelre Hospital, P.O. Box 9014, Apeldoorn, DS, 7300, The Netherlands
12Department of Obstetrics and Gynaecology, Maxima Medical Centre, P.O. Box 7777, Veldhoven, MB, 5500, The Netherlands
13Department of Obstetrics and Gynaecology, Elkerliek Hospital, P.O. Box 98, Helmond, AB, 5700, The Netherlands
14Department of Obstetrics and Gynaecology, Catharina Hospital, P.O. Box 1350, Eindhoven, ZA, 5602, The Netherlands
15Department of Obstetrics and Gynaecology, Orbis Medical Centre, P.O. Box 5500, Sittard, MB, 6130, The Netherlands
16Department of Obstetrics and Gynaecology, St. Jans Hospital Weert, P.O. Box 29, Weert, AA, 6000, The Netherlands
17Department of Obstetrics and Gynaecology, Atrium Medical Centre Parkstad, P.O. Box 4446, Heerlen, CX, 6401, The Netherlands
18Department of Obstetrics and Gynaecology, Ijsselland Hospital, P.O. Box 690, Capelle a/d Ijssel, AR, 2900, The Netherlands
19Department of Obstetrics and Gynaecology, Flevohospital, P.O. Box 3005, Almere, EG, 1300, The Netherlands
20Department of Obstetrics and Gynaecology, Meander Medical Centre, P.O. Box 1502, Amersfoort, BM, 3800, The Netherlands
21Department of Obstetrics and Gynaecology, Hospital Rijnstate, P.O. Box 9555, Arnhem, TA, 6800, The Netherlands
22Department of Obstetrics and Gynaecology, ZG Twente, P.O. Box 7600, Almelo, SZ, 7600, The Netherlands
23Scientific Institute for Quality of Healthcare (IQ healthcare), Radboud University Nijmegen Medical Centre, P.O. Box 9101, Nijmegen, HB, 6500, The Netherlands
Corresponding author.
#Contributed equally.
Copyright ©2013 Melman et al.; licensee BioMed Central Ltd.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Background
Caesarean section (CS) rates are rising worldwide. In the Netherlands, the most significant rise is observed in healthy women with a singleton in vertex position between 37 and 42 weeks gestation, whereas it is doubtful whether an improved outcome for the mother or her child was obtained. It can be hypothesized that evidence-based guidelines on CS are not implemented sufficiently.
Therefore, the present study has the following objectives: to develop quality indicators on the decision to perform a CS based on key recommendations from national and international guidelines; to use the quality indicators in order to gain insight into actual adherence of Dutch gynaecologists to guideline recommendations on the performance of a CS; to explore barriers and facilitators that have a direct effect on guideline application regarding CS; and to develop, execute, and evaluate a strategy in order to reduce the CS incidence for a similar neonatal outcome (based on the information gathered in the second and third objectives).
Methods
An independent expert panel of Dutch gynaecologists and midwives will develop a set of quality indicators on the decision to perform a CS. These indicators will be used to measure current care in 20 hospitals with a population of 1,000 women who delivered by CS, and a random selection of 1,000 women who delivered vaginally in the same period. Furthermore, by interviewing healthcare professionals and patients, the barriers and facilitators that may influence the decision to perform a CS will be measured. Based on the results, a tailor-made implementation strategy will be developed and tested in a controlled before-and-after study in 12 hospitals (six intervention, six control hospitals) with regard to effectiveness, experiences, and costs.
Discussion
This study will offer insight into the current CS care and into the hindering and facilitating factors influencing obstetrical policy on CS. Furthermore, it will allow definition of patient categories or situations in which a tailor-made implementation strategy will most likely be meaningful and cost effective, without negatively affecting the outcome for mother and child.
Trial registration
http://www.clinicaltrials.gov: {"type":"clinical-trial","attrs":{"text":"NCT01261676","term_id":"NCT01261676"}}NCT01261676
Background
The worldwide rise in caesarean section (CS) rate is a major healthcare issue, with rates reported as high as 32% in the United States (US) and 37% in Brazil [1,2]. In the Netherlands, the overall CS rate has increased from 8.1% to 13.6% over the recent decade. Although this rise is relatively low compared to other countries, a striking detail is that the most impressive rise, in absolute numbers, was among healthy women with a singleton in vertex position between 37 and 42 weeks gestation [3]. However, an increasing CS rate does not imply an improved outcome for mother and infant [4]. CS are associated with an increased risk of maternal mortality as well as serious morbidity, such as admission to the intensive care unit (Odds Ratios (ORs) between 30.8 and 63.4), hysterectomy (ORs between 3.2 and 13.5), and puerperal infection (OR 3.0) [5-7].
Besides the short-term risks, CS have an impact on the mother’s future reproductive health, for example uterine rupture, placenta praevia, or placenta accreta [8,9].
There is no evidence suggesting a better neonatal outcome from the increased CS rate in terms of mortality, intracranial haemorrhage, or impaired neurological development in the general population [10,11]. In fact, an elective CS performed before 39 completed weeks is associated with respiratory distress and admission to the neonatal intensive care unit [11,12].
The question arises what causes the worldwide increase in CS rate considering the fact that in most situations there are no apparent benefits of a CS for mother and child; the costs are higher compared to vaginal birth [5]; and the incidence of both maternal and neonatal complications are increased. There are concerns about the increasing rate of planned CS as well as a declining rate of vaginal birth after a previous CS (VBAC) in the US and Australia [13,14].
To optimize CS practice, the Royal College of Obstetricians and Gynaecologists (RCOG) developed an evidence-based guideline (NICE: National Institute of Clinical Evidence) with clear recommendations for obstetric care. Similar recommendations, which have a direct effect on the decision to perform a CS, are also mentioned in the different guidelines of the Dutch Society of Obstetrics and Gynaecology (NVOG), Society of Obstetricians and Gynaecologists of Canada (SOGC), American College of Obstetrics and Gynaecology (ACOG), and National Guideline Clearinghouse from the US department of health and human services (NGC).
Despite the introduction of evidence-based guidelines, the CS rate continues to increase. We hypothesize that poor adherence to the guidelines plays a key role in the rising CS rate. In order to optimize adherence to the CS guidelines, the stepwise model by Grol can be used to select the proper strategies [15,16]. The first step in this model is to analyze the current care (measured by valid quality indicators) compared to the optimal care as described in evidence-based guidelines, and to determine which barriers and facilitators might influence the implementation of optimal care. Subsequently, a tailor-made implementation strategy can be developed with activities applied to the determined barriers. In the last step, the strategy is executed and evaluated in terms of effectiveness, feasibility, and costs.
In view of the rising CS rate, this study aims are:
1. To develop a set of quality indicators on the decision to perform a CS based on key recommendations of both Dutch and international guidelines.
2. To gain insight into actual adherence of Dutch gynaecologists to guideline recommendations on the performance of CS.
3. To explore barriers and facilitators that have a direct effect on application of guideline recommendations regarding CS.
4. To develop, execute and evaluate a strategy in order to improve care and possibly decrease the CS incidence for a similar neonatal outcome, based on the information gathered in steps two and three.
Discussion
The CS rate in The Netherlands is comparatively low compared to other countries, but it is increasing especially in the group of healthy women with a singleton pregnancy in vertex position at term. One would expect this to coincide with improved outcomes for mothers and children, which is, however, not the case [5]. Although many suggestions considering the reason for this rise have been made, the answer is not yet clear. We hypothesize that incomplete guideline adherence is a possible cause for the current increase in CS rate. In this study we will determine current Dutch care regarding CS using quality indicators. We will use national as well as international guidelines to select the recommendations, resulting in at least a set of internationally accepted indicators. Because we will also report the current CS rates by classification into the internationally accepted Robson Criteria, international comparison of incidences of CS rates in different subgroups will be possible. In that way, specific indicators and incidences of those indicators might be applicable elsewhere. Furthermore, we will focus on factors that influence guideline implementation, and thus optimal care in the barrier and facilitator analysis.
Although earlier reviews claimed that multifaceted strategies (combinations of many different interventions) are often effective, Grimshaw found that a higher number of intervention components was not related to higher effectiveness [23]. It seems plausible that combined interventions are only more effective than single interventions, if these are addressed at the specific barriers to change. This is also the conclusion of Chaillet et al.: in the obstetric setting in general and the CS setting in particular, prospective identification of efficient strategies and barriers to change is necessary to achieve a better adaptation of intervention and to improve clinical practice guideline implementation [24].
This study will hopefully result in one or more target groups with high incidence and low guideline adherence and the evaluation of an implementation strategy to improve care. For example, non-progressing labour is known to be one of the major reasons to perform a CS. Should guideline adherence in these women be low, an intervention based both on informing women and reminders on optimal care for caregivers could be an option. Another possible target group might be women with a previous CS. Although in general, the VBAC rate was previously reported higher in the Netherlands than in some other countries, recent data are lacking. Improvement of care for these women could consist of a decision aid to improve counselling. Both types of interventions are also possibly effective outside the Netherlands. The ultimate aim of our study is to implement the national and international evidence-based guidelines on CS in all Dutch hospitals in order to reduce the incidence of CS and improve the outcome for mother and child. Furthermore, this study provides a framework for future studies to enable improvement of guideline adherence and reduction of the CS rate.
Abbreviations
ACOG: American College of Obstetrics and Gynecology; CS: Caesarean section; NGC: National Guideline Clearinghouse; NICE: National Institute of Clinical Evidence; NVOG: Dutch Society of Obstetrics and Gynaecology; RCOG: Royal College of Obstetricians and Gynaecologists; SOGC: Society of Obstetricians and Gynaecologists of Canada.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
SM, HS and RH conceived of the study and took part in the study design. They were also responsible for drafting the manuscript. All authors are members of the SIMPLE study group and participated in the design of the study. All authors read, edited earlier versions of the manuscript and approved the final manuscript.
Acknowledgements
This study was funded by zonMW (No 17100.3006).
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Articles from Implementation Science : IS are provided here courtesy of BMC
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https://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-8-3
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SIMPLE: implementation of recommendations from international evidence-based guidelines on caesarean sections in the Netherlands. Protocol for a controlled before and after study
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https://media.springernature.com/full/springer-static/cover-hires/journal/13012
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https://media.springernature.com/full/springer-static/cover-hires/journal/13012
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[
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[
"Ellen NC",
"de Boer",
"Mallory D",
"Ben Willem J",
"Johannes PR",
"Anjoke JM",
"Martina M",
"Friso MC",
"Simone MI",
"Van Dooren"
] |
2013-01-03T00:00:00
|
Caesarean section (CS) rates are rising worldwide. In the Netherlands, the most significant rise is observed in healthy women with a singleton in vertex position between 37 and 42 weeks gestation, whereas it is doubtful whether an improved outcome for the mother or her child was obtained. It can be hypothesized that evidence-based guidelines on CS are not implemented sufficiently. Therefore, the present study has the following objectives: to develop quality indicators on the decision to perform a CS based on key recommendations from national and international guidelines; to use the quality indicators in order to gain insight into actual adherence of Dutch gynaecologists to guideline recommendations on the performance of a CS; to explore barriers and facilitators that have a direct effect on guideline application regarding CS; and to develop, execute, and evaluate a strategy in order to reduce the CS incidence for a similar neonatal outcome (based on the information gathered in the second and third objectives). An independent expert panel of Dutch gynaecologists and midwives will develop a set of quality indicators on the decision to perform a CS. These indicators will be used to measure current care in 20 hospitals with a population of 1,000 women who delivered by CS, and a random selection of 1,000 women who delivered vaginally in the same period. Furthermore, by interviewing healthcare professionals and patients, the barriers and facilitators that may influence the decision to perform a CS will be measured. Based on the results, a tailor-made implementation strategy will be developed and tested in a controlled before-and-after study in 12 hospitals (six intervention, six control hospitals) with regard to effectiveness, experiences, and costs. This study will offer insight into the current CS care and into the hindering and facilitating factors influencing obstetrical policy on CS. Furthermore, it will allow definition of patient categories or situations in which a tailor-made implementation strategy will most likely be meaningful and cost effective, without negatively affecting the outcome for mother and child. http://www.clinicaltrials.gov : NCT01261676
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/static/img/favicons/bmc/apple-touch-icon-582ef1d0f5.png
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BioMed Central
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https://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-8-3
|
The four aims were approached in four parts: the development of quality indicators, the assessment of current care, the identification of barriers and facilitators, and the development of a tailored implementation strategy and executing and evaluating this strategy in a clustered controlled before-and-after study (CBA).
The development of quality indicators
Design and methods
In order to measure current Dutch practice on CS, quality indicators regarding the process, structure, and outcome of care need to be developed. This will be achieved according to the RAND-modified Delphi method [17, 18]. The indicators will be based on key recommendations extracted from the guidelines of several international obstetric organisations (RCOG, NVOG, SOGC, ACOG and NGC). These key recommendations will be evaluated in two rounds by an independent expert panel consisting of Dutch obstetricians and midwives. In the first round, a questionnaire will be developed on three subjects (planned CS, emergency CS, and methods to reduce the CS rate). The questionnaire will be sent to the experts who will be asked to individually rate the key recommendations on a 9-point Likert scale ranging from 1 to 9 (‘not relevant’ to ‘extremely relevant’ for measuring the quality of CS care). Furthermore, a ranking of the key recommendations will be asked per subject to ultimately extract those indicators considered to be most important for quality-of-care measurement. The experts also have the opportunity to add comments or suggest additional recommendations they consider suitable as a quality indicator. The returned questionnaires will be analysed based on the ratings of the recommendations on the 9-point Likert scale, and the median score of these items will be calculated and rated as described previously by Campbell [19]. Furthermore, scoring variables reflecting the ranking of the items in each of the three subjects will be developed (e.g., in a top 3 ranking, a first ranking creates 3 points, a second ranking 2 points, and a third ranking 1 point).
The second round consists of a consensus meeting where the experts will receive their individual as well as the overall results of the first round to promote discussion. The aim of this meeting is to reach consensus on those recommendations that are most suitable for assessing the quality of care on performing CS. After consensus is reached, the recommendations will be operationalized into a set of measurable quality indicators.
Study population and setting
A representative, national expert panel consisting of obstetricians and midwives (about 12 to 15 experts) will be invited. The obstetricians and midwives will have worked at various types of hospitals, ranging from small regional hospitals to university hospitals.
Outcome measures
The outcome of the first step of the study is a set of valid quality indicators regarding the decision to perform a CS which can then be used to measure the current practice.
The assessment of current care
Design and methods
A retrospective medical record search based on the set of quality indicators will be performed in order to assess the Dutch gynaecologists’ adherence to the CS guideline recommendations. Adherence to these indicators will be quantified, as well as the variation in care and adherence between the participating hospitals. To gain insight into the current Dutch care compared to international care, the CS percentages of the different risk groups will be calculated according to the Robson classification (Table 1) [20]. Furthermore, the maternal mortality or severe acute morbidity (Table 2) [21], and perinatal mortality or serious morbidity (pH <7.00, Apgar 5 min <7, and NICU admission) will be noted. This study will provide us with information about current practice on CS in the Netherlands and insight into the effects on outcome of mother and child.
Study population and setting
In order to create a representative view of the current obstetrical care in The Netherlands, a multi-centre study will be carried out. Twenty hospitals of different Dutch regions will participate in this study, including university teaching hospitals, non-university teaching hospitals and non-university, non-teaching hospitals. The present study will take place in the setting of a Dutch Obstetric Research Consortium in which all the participating hospitals collaborate.
In the participating hospitals, data on basic obstetrical care and adherence to the quality indicators will be collected. Per hospital 100 women will be selected from the local database: 50 women who delivered by CS and a random set of 50 women who delivered vaginally in the same time period. Exclusion criteria will be a major fetal congenital malformality and fetal death prior to onset of delivery.
Outcome measures
The main outcome is adherence to the guideline recommendations, based on the adherence to the quality indicators. Therefore, basic obstetrical data and indicator specific data will be gathered. For example, consider the indicator ‘every woman with a child in breech presentation at 34 to 36 weeks gestation should be offered external cephalic version unless a contraindication for external cephalic version is present.’ This implies that we need to assess the incidence of breech presentation at 34 to 36 weeks gestation, as well as data that show whether an external cephalic version is being offered. Furthermore, we will note in which cases this procedure was not offered for a valid reason. This will allow us to determine the frequencies of adherence for this indicator.
The secondary outcomes are the number of preventable CS, and Dutch practice as compared to international data using the Robson criteria.
Sample size considerations
Assuming an adherence to the guidelines of 75%, an alpha of 0.05, and a precision of the estimation of 5%, 300 patients must be included. However, this number has to be adapted to take clustering of data across clinicians and within obstetrical departments into account. Assuming an intra-cluster correlation (ICC) of 0.2 and 80 professionals in 20 hospitals, 960 medical records need to be analysed. In order to compensate for loss to follow-up or incomplete data, 1,000 women with a CS will be included in 20 hospitals within a timescale of three to four months. In order to enable the calculation of specific events, as described in ‘outcome measures,’ a random selection of 1,000 women with a vaginal birth will be included. Thus, there will be 2,000 participants, i.e., 1,000 women after a caesarean delivery and 1,000 women after a vaginal birth. Sampling fraction will be adjusted to the fraction of women with CS in each individual hospital.
Data analysis
The frequencies of adherence per quality indicator will be calculated. This will be calculated by dividing the total number of women who apply for an indicator and for whom care was appropriate by the total number of women who apply for an indicator. For example, women with a child in breech presentation between 34 to 36 weeks of gestation, without contraindication for external cephalic version, should have been offered an external cephalic version. Adherence is the total number of women with a child in breech presentation between 34 to 36 weeks of gestation without contraindication for external cephalic version, in whom an external version was offered, divided by the total number of women with a child in breech presentation between 34 to 36 weeks of gestation without contraindication for external cephalic version.
Barrier and facilitator study
Design and methods
To determine the barriers and facilitators that influence the decision to perform a CS for healthcare professionals and patients, a qualitative study will be performed. The setting for guideline implementation will be analysed. Focus group interviews will be held among healthcare professionals (obstetricians, residents, and midwives) to discover factors that determine the decision to perform a CS or not. The interviewer will explore the following categories of influencing factors: features of the guidelines itself; features of the target group of professionals who should use the guidelines; features of patients who have to accept or contribute to the use of the guidelines; features of the social setting and social network of the professionals; and features of the organizational, economic, and administrative context. Remarks by professionals will be classified into categories of potential determining factors following this theoretical framework. The ‘prevalence’ of the features mentioned in the focus group interviews will be quantified in a survey with questionnaires among the different professionals.
Similarly, depending on the outcome of the current care study, semi-structured interviews will be held with patients in a detailed study to discover relevant factors that influence the patients’ decision to choose a CS or vaginal delivery.
Study population and setting
In different hospital types (university, non-university teaching, and non-university non-teaching hospitals) interviews will be held among healthcare professionals (obstetricians, residents and midwives) as well as patients. Focus group interviews among 8 to 12 healthcare professionals will be planned. To assess whether the factors mentioned in the focus group interviews are structural, the ’prevalence’ of these factors will be assessed using a survey with questionnaires among obstetric gynaecologists, residents, and midwives in the Netherlands. The questionnaires will be sent to the professionals via email addresses we will obtain from the national professional organisations of both professions. Among patients, semi-structured interviews will be held. These patients will be selected in the abovementioned hospitals from the current care study. The interviews will be conducted with those women belonging to the non-adherence subgroups (such as breech, non-progressing labour, or maternal request) to whom a possible implementation should be directed. Approximately ten to fifteen women will be interviewed until no new information emerges during the interviews.
Outcome measures
The main outcome measures are the barriers and facilitators for adherence to the quality indicators for performing a CS.
Data analysis
Using Atlas, the qualitative software package, a qualitative analysis will be performed on the barriers and facilitators that are presented in the interviews among healthcare professionals and patients. The transcribed interview will be marked and coded with barriers and facilitators according to the framework used to structure the interviews: features of the guidelines, professionals, patients, social setting, and organization. These influencing factors will be quantified among all Dutch gynaecologists and midwives by means of questionnaires. The analyses of the questionnaires will be descriptive (e.g., frequencies and means).
Controlled before-and-after study
Design and methods
Based on the results of the current care study and the barrier and facilitator study, one or more target groups for a tailor-made implementation strategy will be identified. Target groups will be selected with focus on women with both a high incidence of the indicator (our hypothesis is that this will include, for example, non-progressing labour and previous CS) and low indicator adherence. A tailor-made implementation strategy will be developed in order to increase adherence to the CS quality indicators. This strategy will be executed and evaluated in a clustered CBA study in 12 hospitals (six intervention, six control hospitals) (see sample size calculation) in terms of effectiveness, experiences, and costs. It is likely that a strategy with different implementation elements is needed because several barriers for implementation of recommendations may exist at different levels. This will probably result in a combined intervention directed at the level of professionals, patients, and the organisation.
Study population and setting
The implementation strategy will be executed and evaluated in 12 hospitals (see sample size calculation) that also participated in the current care study: six intervention hospitals in which the newly developed strategy will be applied; and six control hospitals in which care as usual will be offered. In order to select these 12 hospitals, all 20 hospitals of the current care study will be categorized into university, non-university teaching, and non-university non-teaching hospitals (three categories). Within these three categories, possible hospital pairs will be made based on pre-intervention adherence to quality indicators and CS rates, as measured in the current care study. To get a sample representative for the Dutch setting, in total two university hospitals, six non-university teaching hospitals and four non-university, non-teaching hospitals will be asked to participate. Subsequently, the participating hospitals have to be assigned to the intervention and control group. This will be done per stratum and based on geographic region. The evaluation will include an effect, process, and cost analysis. Just as in de current care study, the effects will be measured both at medical outcome level (i.e., CS rates and complication rates) and on guideline adherence level. Satisfaction with and applicability of the tailor-made implementation strategy for both patients and healthcare professionals will be measured in a process evaluation. Information regarding the process will be gathered in a qualitative study in the hospitals in which the implementation strategy was applied. Individual interviews will take place among the involved healthcare professionals and patients to gather data about experiences with the changed care. During the interview, they also will be asked about which elements of the tested strategy they specifically used to implement the evidence-based guidelines; how satisfied they are with the different elements; and their opinion about the feasibility of the different elements.
Furthermore, a cost analyses of the tested implementation strategy will take place with respect to three aspects: 1) the rate at which the guideline recommendations are already applied; 2) the costs of the implementation strategy (taking into account the development of the strategy, training of healthcare professionals, and possible extra costs regarding both time and medical costs) and 3) the effectiveness of the implementation strategy. In order to measure the effectiveness of the implementation strategy both the effects on medical outcome (i.e., CS rates, complication rates) and adherence to CS quality indicators will be measured. The cost-effectiveness of the implementation strategy will be expressed as the incremental costs per extra patient treated according to the CS quality indicators, compared to the ‘do-nothing’ strategy.
Outcome measures
The primary outcome is effectiveness of the implementation strategy, which is defined as the observed increase in adherence to the developed quality indicators with regard to the chosen target group (for example non-progressing labour or previous CS) between the intervention and control hospitals and the actual CS rates in both groups. Secondary outcome measures are experiences and satisfaction of healthcare providers and patients with the implementation strategy as well as applicability and costs.
Sample size considerations
For a sample size calculation, the target group and the adherence to the quality indicators regarding this target group are necessary. These data will be available after performing the current care as well as the barrier study. Based on these data, the sample size can be calculated. In this calculation, we will take into account clustering of patients within professionals and hospitals. We expect most of the clustering at professional level and presume an inclusion of a number of professionals per hospital and a number of patients per professional. For pragmatic reasons, we will include at most 12 out of the 20 hospitals of the current care measurement. This sample of hospitals has to be representative for the Dutch setting, i.e., a total of two university hospitals, six non-university teaching hospitals, and four non-university, non-teaching hospitals.
Data analysis
To assess the effectiveness of the implementation strategy, the proportion of patients that are treated in accordance with the guidelines before and after implementation of the guidelines in both the intervention and control hospitals will be measured. Medical outcome measures will include CS rates and maternal as well as neonatal complications related to vaginal delivery or CS. Multilevel multivariate analysis will be carried out to assess the independent effect of the implementation strategy on adherence to the CS quality indicators and medical outcome measures. A qualitative descriptive analysis will be done in order to evaluate the process. Furthermore, by means of a questionnaire, the experiences of healthcare providers and patient satisfaction with the implementation strategy will be evaluated, and the outcomes will be descriptive.
The costs analysis will be performed from a healthcare perspective. The costs of the implementation process will be calculated on the basis of the time and materials invested based on activity-based costing (ABC) approach, focusing on activities performed with costs accumulated at the activity level(s) of the healthcare implementation processes. The costs of implementation of the guidelines and consolidation consist of personnel and material costs. The input of resources will be assessed by collecting volumes of consumed resources, and multiplying these by the price of each resource unit. For collecting information on the input of the resources, registration forms will be completed by the people involved in the implementation and consolidation process. The prices of each resource unit will be based on standard costs [22], market prices, or self-determined costs. The medical costs used in de cost analysis will include CS rates and maternal and neonatal complications related to vaginal delivery or CS. The costs of implementation and costs of the changed medical care will be weighed against the proportion of patients that are treated according to the CS guideline, after implementation. The cost-effectiveness of implementation will be expressed as the incremental costs per extra patient treated according to the CS guideline, compared to the ‘do-nothing’ strategy (i.e., no implementation, for which data before implementation will be used).
Ethical considerations
The Medical Ethical Committee (CMO) of Maastricht (azM/UM) approved this study protocol and declared that no ethical approval was necessary (MEC 09-4-047).
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See Who Signed
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[
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2023-12-13T09:11:21+00:00
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SEE WHO HAS SIGNED THE PROMISE MAKE YOUR PROMISE Search or Scroll to see who’s already joined the Promise. Click the icons to read why so many people have decided the Jewish Future Promise is for them. MAKE YOUR PROMISE Why I made the Promise: Voices from our community
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en
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Jewish Future Promise
|
https://jewishfuturepromise.org/see-who-signed/
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Search or Scroll to see who’s already joined the Promise.
Click the icons to read why so many people have
decided the Jewish Future Promise is for them.
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5407
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https://www.cambridge.org/core/books/judging-refugees/index/E24FF08DAA5CF79A96D32FC62FBF1584
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Judging Refugees
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[
"Anthea Vogl",
"University of Technology"
] | null |
Judging Refugees - March 2024
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Cambridge Core
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https://www.cambridge.org/core/books/judging-refugees/index/E24FF08DAA5CF79A96D32FC62FBF1584
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To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.
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https://www.wikidata.org/wiki/Q2108154
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James Kennedy
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American historian, born 1963
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https://www.wikidata.org/wiki/Q2108154
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American historian, born 1963
James Carleton Kennedy
edit
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https://www.famousfix.com/list/people-from-elburg
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List of People from Elburg
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Jaap Smit Dutch, Politician
0 0
rank #1 ·
Jaap Smit (born 8 March 1957) is a Dutch preacher, manager and since 1 January 2014 the King's Commissioner of South Holland. He was previously trade union leader of the Christelijk Nationaal Vakverbond.
Jan Smallenbroek Dutch politician
0 0
rank #3 ·
Jan Smallenbroek (21 February 1909 – 29 September 1974) was a Dutch politician of the defunct Anti-Revolutionary Party (ARP) now merged into the Christian Democratic Appeal (CDA) party and nonprofit director.
Mayors in Gelderland · 18T
Aldermen in Gelderland · 19T
Municipal councillors in Gelderland · 24T
Anne van Schuppen Dutch distance runner
0 0
rank #4 ·
Antje ("Anne") Elisabeth van Schuppen (born 11 October 1960 in Doornspijk, Gelderland) is a former long-distance runner from the Netherlands, who represented her native country at the 1996 Summer Olympics in Atlanta, Georgia. There she finished in 41st place, clocking 2:40:46. She won the Rotterdam Marathon on 18 April 1993 in a time of 2:34:15. She won the City-Pier-City Loop half marathon in the Hague in 1992.
Dutch female marathon runners · 12T
Dutch female long-distance runners · 21T
Dutch sportswomen · 314T
Dick Boschman Dutch sport shooter
0 0
rank #6 ·
Dick Boschman (born 10 October 1974 in Elburg) is a Dutch sport shooter. He has been selected to compete for the Netherlands in two editions of the Olympic Games (2000 and 2004), and has won a career tally of nine medals in a major international competition, spanning the ISSF World Cup series and the European Championships. Boschman trains full-time under trainer Heinz Reinkemeier (GER) for the national team, while practicing at Oostendorp Shooting Range (Dutch: Schietvereniging Oostendorp) in his hometown Elburg.
Dutch male sport shooters · 66T
Olympic shooters of the Netherlands · 68T
Shooters at the 2004 Summer Olympics · 390T
0 0
rank #7 ·
Jacob Jan van der Maaten (Elburg, 4 January 1820 – Apeldoorn, 16 April 1879) was a Dutch painter and etcher. Van der Maaten was a pupil of Hendrikus van de Sande Bakhuyzen and studied at the Royal Academy of Art, The Hague. In 1852 he became a member of the Royal Academy of Fine Arts in Amsterdam. Later, Van der Maaten became teacher at the so-called King’s School in Apeldoorn (1866–1879).
Dutch male painters · 1,461T
Hague School · 46T
Dutch etchers · 20T
Simone Kennedy-Doornbos Dutch Christian Union politician
0 0
rank #9 ·
S.J. (Simone) Kennedy-Doornbos (born 19 December 1970 in Kampen) is a Dutch politician of the ChristianUnion (ChristenUnie). She is also a tour operator and former translator.
Municipal councillors of Amersfoort · 4T
21st-century Dutch women politicians · 194T
21st-century Dutch politicians · 593T
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Verbrechen im Visier (TV Series 2001–2011)
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[] |
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[
""
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[] | null |
Criminal Intent - Verbrechen im Visier (TV Series 2001–2011) “Cast” credits
|
en
|
IMDb
|
https://www.imdb.com/title/tt0275140/fullcredits
|
Peter Jay Fernandez
A.R. Cabezas / Attorney A.R. Cabezas (3 episodes, 2001-2011)
Oni Faida Lampley
Eunice Peterson / U.N. Official (3 episodes, 2002-2005)
Brad Holbrook
Reporter / Reporter #2 / Reporter 1 (3 episodes, 2008-2009)
Summer Crockett Moore
Reporter #1 / Reporter 1 / Reporter 2 (3 episodes, 2008-2009)
Paul Juhn
M.E. Robyn / Reporter #2 / Sketch Artist (3 episodes, 2001-2009)
Peter Conboy
Computer Tech / New York City Police Officer (3 episodes, 2006-2007)
Nick Sandow
A.D.A. Roydell Getty / Detective Albert Kirkoff (2 episodes, 2005-2010)
Reed Birney
A.D.A. Stillman / Fred Martz (2 episodes, 2002-2005)
Tracey Paleo
Reporter #1 / Reporter #3 (2 episodes, 2006-2007)
James Lloyd Reynolds
First TV Reporter / Reporter #2 (2 episodes, 2005-2006)
Sean Grennan
Det. Roland / I.A.B. Roland (2 episodes, 2005-2006)
David Marshall Grant
A. D. A. Peter Bonham (1 episode, 2002)
Meg Gibson
A.U.S.A. Emanuel (1 episode, 2002)
Andrew McCarthy
A.D.A. Gene Hoyle (1 episode, 2007)
Mark La Mura
A.E. Bergmann (1 episode, 2006)
Wolé Parks
A.D.A. Damon Whitney (1 episode, 2009)
Royce Johnson
C.S.U. Tech (1 episode, 2006)
|
|||||
5407
|
dbpedia
|
2
| 69
|
https://ga.milesplit.com/articles/280040/top-500-hs-girls-this-century-in-the-long-jump
|
en
|
Top 500 HS Girls This Century In The Long Jump
|
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|
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] |
[] |
[] |
[
"Top 500 HS Girls This Century In The Long Jump",
"Rankings"
] | null |
[
"Bruce Taylor"
] | null |
Here are the top 500 HS girls long jumpers in this century.
|
en
|
MileSplit GA
| null |
1 21-3.5
Towers High School
2009 2 20-10.5
Kell High School
2013 2 20-10.5 1.0
St. Vincent's Academy (SVA)
2016 4 20-9
Charles Drew HS
2019 5 20-7
Tift County High School
2018 6 20-4
Baldwin High School
2018 7 20-3 1.5
Jackrabbit Track and Field
2021 8 20-2.5 -0.2
Buford High School
2020 9 20-2.25 -2.0
Greater Atlanta Christian
2020 10 20-1 0.2
North Cobb Christian
2020
McEachern Invitational 1st
11 19-11.75 1.8
Unattached GA
0 12 19-11.5
Griffin
2018 13 19-11 -2.1
Clarke Central
2021 14 19-10.25 1.6
North Springs
2016 15 19-9.5 1.8
Elite Scholars Academy
2017 16 19-9
Monroe Comprehensive High School
2012 16 19-9
Forest Park
2015 16 19-9
Berkmar High School
2018 19 19-8.5 0.2
Major Impact Track Club
2020 20 19-8
Starrs Mill High School
2016
Coaches Invitational 1st
20 19-8 2.2
Monroe Comprehensive High School
2016 22 19-7.75 NWI
Baldwin High School
2009 23 19-7.5
Sapphire-Ruff Riders TC
2012 23 19-7.5 2.1
Lassiter High School
2010 25 19-6.75
Quicksilver Track Club
2012 26 19-6.5 2.0
Lovett
2016 27 19-6.25 NWI
Dutchtown High School
2012 28 19-6
McEachern High School
2018 28 19-6
Riverwood International Charter School
2017 28 19-6 -3.4
Houston County
2020 31 19-5.75
Rutland High School
2013 31 19-5.75
Miller Grove High School
2014 33 19-5.5
Central High School
2015 34 19-5
Statesboro High School
2012 34 19-5
TriCity Striders
2017 34 19-5
Sapphire-Ruff Riders TC
2012 37 19-4.5 1.6
Parkview High School
2020 38 19-4.25 -0.3
Valdosta High School
2013 38 19-4.25
Chapel Hill High School
2018 38 19-4.25
Shaw High School
2016 41 19-4
East Coweta
2018 41 19-4 -0.8
Baldwin High School
2018 41 19-4
Beach
2021
Tiger Relays 1st
41 19-4
Calvary Day School
2020 45 19-3.75
Pike County High School
2021 46 19-3.5
Redan High School
2009 46 19-3.5
Evans High School
2019 48 19-3.25
The HEAT Track Club
2014 48 19-3.25
Tucker
2017 50 19-3
Sandy Creek
0 50 19-3
Howard High School
2013 52 19-2.5
G.W. Carver, Columbus
2019 52 19-2.5 3.6
Exchange Zone Track Club
2018 54 19-2.25 1.8
Westlake
2018 55 19-2 0.0
Fayette County
2018 55 19-2
Douglas County
2019
Panthers All-Comers 1st
55 19-2 -0.3
Forest Park
2019 58 19-1.5 0.2
Monroe Comprehensive High School
2018 59 19-1.25
Bradwell Institute
2011 60 19-1
Vidalia
2019 60 19-1
Hillgrove
2018 60 19-1
McEachern High School
2020
Hillgrove Tri-Meet 1st
60 19-1 -0.6
Mays High School
2018 64 19-0.75
Marietta High School
2015 65 19-0.5
Holy Innocents' Episcopal School
2005 65 19-0.5 0.2
Westlake
2015 65 19-0.5
Chamblee
2018 68 19-0.25 1.4
On Your Mark Sports Racing
2018 68 19-0.25
Norcross High School
2015 70 19-0
Walton High School
2019 70 19-0
Greenbrier High School
2011 70 19-0 0.6
Marietta High School
2018
Great Southwest Classic 2nd X
73 18-11.75 NWI
Alexander
2008 73 18-11.75 0.0
Campbell High School
2017 73 18-11.75 0.1
Collins Hill High School
2017 76 18-11.5
Lovejoy
2009 76 18-11.5
Newnan High School
2008
Benson Relays-FAT 1st
76 18-11.5 0.7
Mount Zion High School
2016 76 18-11.5 0.9
New Manchester High School
2019 76 18-11.5
North Cobb High School
2014 76 18-11.5
Northgate
2014 82 18-11.25 0.3
Statesboro High School
2017 82 18-11.25
Rockdale Co.
2012 84 18-11
McEachern High School
2007 84 18-11
Miller Grove High School
2015 84 18-11
Mill Creek High School
2017
Spartan Classic 1st
84 18-11
Centennial
2018 84 18-11
Baldwin High School
2017 89 18-10.75
Lakeside, Evans
2014 90 18-10.5 NWI
Westside, Macon
2006 90 18-10.5
Newton
2018 90 18-10.5 1.1
ATL Zoom Athletics
2020 90 18-10.5 0.0
Fayette County
2016 90 18-10.5
Greenbrier High School
2019 95 18-10.25
Beach
2021 96 18-10
Early County
2006 97 18-9.5
Haralson County HS
2017 97 18-9.5
Stephenson High School
2018 97 18-9.5 1.8
LaGrange
2019 100 18-9.25 1.5
Exchange Zone Track Club
2021 100 18-9.25 0.4
Grovetown HS
2019 102 18-9
Southwest Dekalb
2009
Chiles Relays 1st
102 18-9
Kendrick
2008 102 18-9
Northview High School
2012 102 18-9
Statesboro High School
2016 102 18-9
Jefferson High School
2018 102 18-9
Heritage High School
2020 102 18-9
Mount Zion High School
2020 102 18-9
Miller Grove High School
2022 102 18-9
St. Pius X
2010 102 18-9
Campbell High School
2012 102 18-9
Heritage High School
2019 102 18-9
Osborne High School
2013 114 18-8.75 2.0
Track Georgia
2019 115 18-8.5
G.W. Carver, Columbus
2010
Columbus Relays 1st
115 18-8.5
Tucker
2010
Carrollton Invitational 1st
115 18-8.5
Alexander
2012 115 18-8.5
Chamblee
2016 115 18-8.5
Brookwood
2020 115 18-8.5 -0.1
Blue Speed TC
0 115 18-8.5 -1.7
Sandy Creek
2021 115 18-8.5 1.0
Collins Hill High School
2015 115 18-8.5 0.0
New Manchester High School
2019 115 18-8.5
Creekview
2012 125 18-8.25
Shiloh High School
2007 126 18-8
Early County
2010 126 18-8
Hardaway
2018 126 18-8 -0.5
Wesleyan School
2018 126 18-8 -1.5
Fayette County
2021 126 18-8
Southwest Dekalb
2013 126 18-8
Terrell County HS
0 132 18-7.75
Newton
2008 132 18-7.75
Track Georgia
0
GEORGIA GAMES 2nd
132 18-7.75
Mundys Mill High School
2019 135 18-7.5
North Springs
2005 135 18-7.5
Marietta High School
2017 135 18-7.5
Athens Academy
2020 135 18-7.5
Luella High school
2008 135 18-7.5
Maynard H. Jackson High School
2021 140 18-7.25
Statesboro High School
2011 140 18-7.25
HV Jenkins
2012 140 18-7.25 0.9
Exchange Zone Track Club
2019 143 18-7
Marietta High School
2005 143 18-7
Bradwell Institute
2009 143 18-7
Collins Hill High School
2007 143 18-7
Charles Drew HS
2018 143 18-7
Lithia Springs
2017 143 18-7
Rutland High School
2014 143 18-7
Alexander
2020
Region 5AAAAAA 2nd
143 18-7 0.0
Westlake
2022 143 18-7
Westlake
2014 152 18-6.75 0.3
Tucker
2010 152 18-6.75
Campbell High School
2020 152 18-6.75
Hiram High School
2018 155 18-6.5
Greater Atlanta Christian
2010
Spartan Classic 1st
155 18-6.5
Spalding High School
2012 155 18-6.5
Camden County
2017 155 18-6.5 0.7
Washington-Wilkes High School
2019 155 18-6.5
White County High School
2018 155 18-6.5 0.0
Mays High School
2018 161 18-6.25
Pope High School
2007 161 18-6.25
Warren County High School
2010 163 18-6
Oconee County High School
2007 163 18-6
Southeast Bulloch
2013
Statesboro Relays 1st
163 18-6
Monroe Comprehensive High School
2021 166 18-5.75
Woodward Academy
2015 166 18-5.75
Villa Rica
2016 166 18-5.75
Jonesboro HS
2018 166 18-5.75 0.0
Chamblee
2017 170 18-5.5
Decatur High School
2007 170 18-5.5
Hart County
2011 170 18-5.5
Fitzgerald
2012 170 18-5.5
Toombs County HS
2012 170 18-5.5
Hawkinsville HS
2012 170 18-5.5 -1.4
Greater Atlanta Christian
2020 176 18-5.25
Peachtree Ridge High School
2009 176 18-5.25
Shaw High School
2011 176 18-5.25
Parkview High School
2011
Spartan Classic 2nd
176 18-5.25
Carrollton High School
2015 180 18-5
Peach Co.
2005 180 18-5
Parkview High School
2011 180 18-5 NWI
North Oconee
2014 180 18-5 NWI
Walnut Grove HS
2013 180 18-5
Campbell High School
2018 180 18-5
Drive Phase, Inc.
2018
GEORGIA GAMES 3rd
180 18-5
Flowery Branch
2011 180 18-5 0.6
Brunswick
2016 180 18-5
Bradwell Institute
2020 180 18-5
McIntosh High School
2013 190 18-4.75
Westlake
2011 190 18-4.75
Alcovy
2020 190 18-4.75
William H. Spencer High School
2015 190 18-4.75 0.9
Morrow High School
2022 194 18-4.5
Chamblee
2007 194 18-4.5
Central High School
2009 194 18-4.5
Cedar Shoals
2009 194 18-4.5
Wayne County
2010 194 18-4.5
Campbell High School
2012 194 18-4.5
Quarter Horses Track Club
2017 194 18-4.5
Pierce County HS
2016 194 18-4.5 0.3
Chattahoochee High School
2016 194 18-4.5
Westover High School
2016 194 18-4.5
Elite Speed Track Club
2018 194 18-4.5 0.0
Star Track TC
0 194 18-4.5
Dacula
2017 206 18-4.25
Forsyth Central
2020 206 18-4.25
Westlake
2022 208 18-4
Glynn Academy
2009 208 18-4
Decatur High School
2006
GACS Invitational 1st
208 18-4
Norcross High School
2006 208 18-4
West Forsyth High School
0 208 18-4
Wheeler High School
2014 208 18-4
Washington County
2018 208 18-4
Northeast Macon
2018 208 18-4
Butler
2017 208 18-4
Shiloh High School
2020 208 18-4
Grayson High School
2020 208 18-4
Our Lady of Mercy
2015 208 18-4
Flowery Branch
2012 208 18-4 0.5
New Hampstead HS
2018 221 18-3.75
Valdosta High School
2008 221 18-3.75
Lowndes High School
2011 223 18-3.5
Shiloh High School
2018 223 18-3.5
Monroe Area High School
2012 223 18-3.5 -0.4
Rome High School
2019 223 18-3.5 -2.6
Cambridge HS
2020 227 18-3.25
West Laurens High School
2007 227 18-3.25
McEachern High School
2017 227 18-3.25
Starrs Mill High School
2009 227 18-3.25 1.9
Sapphire-Ruff Riders TC
2020 231 18-3
Carrollton High School
2006 231 18-3
Dominion Christian
2012 231 18-3 2.2
Brookwood
2016 231 18-3
Chapel Hill High School
2020 231 18-3
Arabia Mountain HS
2020 231 18-3
River Ridge HS
2019 231 18-3
Creekside
0 231 18-3
Westlake
2016 231 18-3 0.6
Premier Athletics Track & Field Club
2019 231 18-3 0.9
Camden County
2019 231 18-3 0.2
McEachern High School
2019
McEachern Invitational 6th
242 18-2.75
Peach Co.
2010 242 18-2.75
Rutland High School
2016 244 18-2.5
Towers High School
2013 244 18-2.5
McEachern High School
2009 244 18-2.5
Mount Zion High School
2009 244 18-2.5 0.4
Westminster School
2013 244 18-2.5
Apalachee
2015 244 18-2.5
Douglas County
2019
Panthers All-Comers 1st
244 18-2.5 0.3
Lambert HS
2017 244 18-2.5 1.8
Telfair County HS
2019 244 18-2.5 NWI
Lassiter High School
2010 244 18-2.5 -0.4
Walnut Grove HS
2022 254 18-2.25
Banneker
2013 254 18-2.25
Campbell High School
2020 256 18-2
Dougherty
2009 256 18-2
Clarke Central
2008 256 18-2
Warren County High School
0 256 18-2
Forest Park
2015 256 18-2
Woodward Academy
2016 256 18-2
Columbia High School
2020 256 18-2
Ware County High School
2016 256 18-2 0.0
Burke County
2019 256 18-2 NWI
Towers High School
2010 265 18-1.75
ATL Zoom Athletics
2019 265 18-1.75
Westlake
2012
Westlake Relays 2nd
265 18-1.75
Bacon County HS
2020 268 18-1.5
Cedar Shoals
2006 268 18-1.5
Jenkins Co. High School
2007 268 18-1.5
Greenbrier High School
2008 268 18-1.5
Lovejoy
0
Wildcat Invitational 1st
268 18-1.5
Sandy Creek
2017 268 18-1.5
Walton High School
2019 268 18-1.5
Madison County
2010 268 18-1.5 NWI
Eagle's Landing High School
2011
Coaches Invitational 2nd
268 18-1.5
Stephenson High School
2018 268 18-1.5
Metter
2018 268 18-1.5
Jones County High School
2015 268 18-1.5 0.0
Eagle's Landing High School
2015 268 18-1.5
Lanier HS
2020 281 18-1.25
Lassiter High School
2016 281 18-1.25
Lovett
2018 281 18-1.25
Cherokee
2020
Wolverine Invitational 1st
281 18-1.25 -0.1
Cedartown
2014 285 18-1
Ola High School
2010 285 18-1
Adairsville High School
2010 285 18-1
Cedar Grove
2013 285 18-1
North Oconee
2013 285 18-1
McEachern High School
2006 285 18-1
Parkview High School
2010
Spartan Classic 3rd
285 18-1 -0.6
Tucker
2012 285 18-1
North Springs
2019 285 18-1
Mundys Mill High School
2020 285 18-1
Lakeside, Evans
2017 295 18-0.5
Jordan
2007 295 18-0.5 2.3
Savannah Christian Prep
2016 295 18-0.5
Lithia Springs
2017 295 18-0.5
Toombs County HS
2020 295 18-0.5
Crawford County HS
2013 295 18-0.5
Banneker
2014 295 18-0.5 1.8
Elite Speed Track Club
2021 302 18-0.25
Dutchtown High School
2019 302 18-0.25
Woodland
2010 302 18-0.25
Bradwell Institute
2019 302 18-0.25
East Coweta
2019 306 18-0
Dalton High School
2007 306 18-0
Shaw High School
2008 306 18-0
Tattnall Square Academy
2016 306 18-0
Spalding High School
2014 306 18-0
Johnson-Savannah
2014 306 18-0
North Oconee
2018 306 18-0
Fitzgerald
2018 306 18-0
Callaway High School
2022 306 18-0 1.1
Pope High School
2007 306 18-0
Cedar Grove
2011 306 18-0
McIntosh High School
2013 317 17-11.75
Chattahoochee High School
2013 317 17-11.75
Heritage High School
2016 317 17-11.75 -0.80
Sprayberry High School
2013 317 17-11.75
Forest Park
2016 321 17-11.5
Claxton High School
2007 321 17-11.5
Ware County High School
2021 321 17-11.5
Jefferson High School
2022 321 17-11.5
Eagle's Landing High School
2015 321 17-11.5
Newton
2016 321 17-11.5
Miller Grove High School
2019 321 17-11.5
Stockbridge High School
2008
Benson Relays-FAT 3rd
321 17-11.5
Parkview High School
2020 321 17-11.5 1.0
Walton High School
2016 321 17-11.5
Bainbridge High School
2014 321 17-11.5
Chattahoochee High School
2017 332 17-11.25
Ware County High School
2018 332 17-11.25
McEachern High School
2016 332 17-11.25
Cedartown
2019 335 17-11
Sandy Creek
2005 335 17-11
Chestatee
2007 335 17-11
Harvester Christian Academy
2012 335 17-11
Woodland HS Stockbridge
2019
Wolverine Relays 1st
335 17-11
Galloway
2019 335 17-11
Woodward Academy
2019 335 17-11
West Laurens High School
2020 335 17-11
Southeast Bulloch
2014 335 17-11
Woodland HS Stockbridge
2017 335 17-11
Vidalia
2021 335 17-11
Lanier HS
2015 335 17-11
Grady
2016 335 17-11
Heritage High School
2018 335 17-11
Pike County High School
2021 335 17-11
Chamblee
2010 335 17-11 1.5
Central High School
2012 351 17-10.75
Villa Rica
2013
Carrollton Invitational 1st
352 17-10.5
Wesleyan School
0 352 17-10.5
Lovett
2010 352 17-10.5 NWI
Sapphire-Ruff Riders TC
2008 352 17-10.5
South Cobb
2007 356 17-10.25
Heritage High School
2012 356 17-10.25
Camden County
2012 356 17-10.25
Titans Elite -GA
0 356 17-10.25 1.0
North Forsyth
2016 360 17-10
Riverdale High School
2005 360 17-10
Northeast Macon
2009 360 17-10
Etowah
2010 360 17-10
Alcovy
2011 360 17-10
Stephens Co.
2010 360 17-10
Chattahoochee County
2012 360 17-10
Brooks County High School
2013 360 17-10
Brookwood
2013 360 17-10
Banneker
2016 360 17-10
West Forsyth High School
2020
Region Tune-up 1st
360 17-10
Woodward Academy
2019 360 17-10
Discovery HS
2019 360 17-10
Crisp Co.
2021 360 17-10
Alpharetta
2007 360 17-10
Cedartown
2011 360 17-10
Chattahoochee County
2013 360 17-10
Burke County
2016 360 17-10
Cross Creek
2020 360 17-10
North Cobb Christian
2021 360 17-10
MLK
2008 360 17-10
Lakeside, Evans
2019 360 17-10
West Hall High School
2014 360 17-10 2.6
Cedar Shoals
2017 360 17-10
Lanier HS
2019 384 17-9.75
Rome High School
2012 384 17-9.75
Douglas County
2020 384 17-9.75
Jordan
2009 384 17-9.75
Peachtree Ridge High School
2010
Spartan Classic 4th
384 17-9.75
Pebblebrook High School
2018 384 17-9.75
Archer HS
2019
Coaches Invitational 5th
391 17-9.5
McEachern High School
2014 391 17-9.5
Langston Hughes HS
2012 391 17-9.5
Tucker
2016 391 17-9.5
Stone Mountain HS
2018 391 17-9.5
Heard County HS
2014 391 17-9.5
Washington County
2018 391 17-9.5
Unattached (Club)
2019 391 17-9.5
Jones County High School
2016 391 17-9.5
Westlake
2018 391 17-9.5
Apalachee
2018 391 17-9.5 1.4
Pope High School
2015 391 17-9.5 -1.0
Maynard H. Jackson High School
2018 407 17-9.25
Alpharetta
2012 407 17-9.25
Grady
2021 407 17-9.25
Washington County
0 410 17-9
Lassiter High School
2005 410 17-9
Morrow High School
2010 410 17-9
Carrollton High School
2008 410 17-9
Redan High School
2006 410 17-9
Langston Hughes HS
2016 410 17-9
Creekview
2018 410 17-9
Walker
2019 410 17-9
Washington County
2020 410 17-9
Stephenson High School
2013 410 17-9
Riverwood International Charter School
2015 410 17-9
Campbell High School
2017 410 17-9
Campbell High School
2020 410 17-9
Columbia High School
2016 410 17-9 0.8
Lightning Spikes Track Club
0 410 17-9 NWI
Cedar Shoals
2008 410 17-9
Alexander
2012 410 17-9
Wayne County
2016 410 17-9
Stephenson High School
2020 410 17-9
Greenbrier High School
2015 410 17-9 1.0
New Manchester High School
2018 410 17-9
Riverwood International Charter School
2019 431 17-8.75
Miller Grove High School
2010 431 17-8.75
McIntosh County Academy
2010 431 17-8.75
Howard High School
2020 431 17-8.75
Buford High School
2021
Parkview Invitational 1st
431 17-8.75
Pelham High School
2018 431 17-8.75
Parkview High School
2018
Coaches Invitational 4th
431 17-8.75
Buford High School
2019 431 17-8.75
Westside, Macon
2015 431 17-8.75
Westover High School
2019 440 17-8.5
Groves
2009 440 17-8.5 NWI
Middle Georgia Magic
0 440 17-8.5
Grady
2012 440 17-8.5
Lovejoy
2006 440 17-8.5
Creekside
2010 440 17-8.5
Mundys Mill High School
2013
Wildcat Invitational 2nd
440 17-8.5
Central Gwinnett
2015 440 17-8.5
Lithonia High School
2010 440 17-8.5
Elite Scholars Academy
2016 440 17-8.5
Northside Columbus
2019 440 17-8.5
Newton
2018 451 17-8.25 NWI
Camden County
2011 451 17-8.25 NWI
The HEAT Track Club
2098 451 17-8.25
Screven County
2009 451 17-8.25
Cook
2015 451 17-8.25
Whitewater High School
2019 456 17-8
Riverdale High School
2006 456 17-8
Woodstock High School
2015 456 17-8
Westminster School
2018 456 17-8
Peachtree Ridge High School
2022
Region 6-AAAAAAA 1st
456 17-8
Rockdale Co.
2008 456 17-8
Newnan High School
2011 456 17-8
North Clayton High School
2013 456 17-8
Warner Robins
2019
Westover Relays 2nd
456 17-8
Marietta High School
2020 456 17-8
Alexander
2018
Region 5AAAAAA 4th
456 17-8
Cook
2019 456 17-8 -0.5
All Heart Track Club
0 456 17-8
Alcovy
2019 456 17-8 1.5
South Forsyth High School
2019 456 17-8 1.1
Arnall MS
0 471 17-7.75
Social Circle High School
2018 471 17-7.75
Monroe Comprehensive High School
2010
Westover Relays 2nd
471 17-7.75
Dominion Christian
2011 471 17-7.75
West Forsyth High School
2015 471 17-7.75
Pope High School
2018 471 17-7.75
Quicksilver Track Club
2016 477 17-7.5
Newnan High School
2007 477 17-7.5
Southwest Macon
2014
Region 2-AAA 1st
477 17-7.5
Lowndes High School
2017 477 17-7.5
Fideles Christian School
2018 477 17-7.5
Westlake
2016 477 17-7.5
Hillgrove
2017 477 17-7.5
Maynard H. Jackson High School
2017 477 17-7.5 0.7
D4 Training
0 477 17-7.5
Columbus High School
2009 477 17-7.5
Chattahoochee High School
2012 477 17-7.5 0.0
Lumpkin Co. High School
2015 477 17-7.5 0.0
Franklin County High School
2015 477 17-7.5
Pickens County
2016 477 17-7.5
Redan High School
2010 491 17-7.25
Marist
2019 491 17-7.25
Redan High School
2015 491 17-7.25
Archer HS
2019 494 17-7
Wesleyan School
2014 494 17-7
New Manchester High School
2014 494 17-7 NWI
Statesboro High School
2015 494 17-7
A-STARS
2020 494 17-7
Dutchtown High School
2011 494 17-7
Titans Elite -GA
2020 494 17-7
North Gwinnett
2018 494 17-7
Chapel Hill High School
2018 494 17-7 0.8
ATL Zoom Athletics
2021 494 17-7
Newton
2007 494 17-7
Redan High School
2013 494 17-7
Monroe Area High School
2016 494 17-7 0.2
Panther Pride
2012
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5407
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dbpedia
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3
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https://earth-planets-space.springeropen.com/highlighted-papers
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en
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Earth, Planets and Space
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The Earth, Planets and Space (EPS) is a peer-reviewed open access journal published under the SpringerOpen brand. It provides a platform for scholars to ...
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en
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/static/img/favicons/darwin/apple-touch-icon.png
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SpringerOpen
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https://earth-planets-space.springeropen.com/highlighted-papers
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Citation Impact 2023
Journal Impact Factor: 3.0
5-year Journal Impact Factor: 2.9
Source Normalized Impact per Paper (SNIP): 1.452
SCImago Journal Rank (SJR): 0.919
Speed 2023
Submission to first editorial decision (median days): 14
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5407
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dbpedia
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3
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https://contactout.com/Simone-Kennedy-Doornbos-20370585
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Simone Kennedy-Doornbos Email & Phone Number
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[] | null |
To contact Simone Kennedy-Doornbos send an email to kennedydoornbos@gmail.com, s.kennedy-doornbos@raad-amersfoort.nl or s.kennedydoornbos@amersfoort.nl. If you want to call Simone Kennedy-Doornbos try calling on +31.334611652.
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https://contactout.com/Simone-Kennedy-Doornbos-20370585
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What is Simone Kennedy-Doornbos email address?
Email Simone Kennedy-Doornbos at [email protected], [email protected] and [email protected]. This email is the most updated Simone Kennedy-Doornbos's email found in 2024.
How to contact Simone Kennedy-Doornbos?
To contact Simone Kennedy-Doornbos send an email to [email protected], [email protected] or [email protected]. If you want to call Simone Kennedy-Doornbos try calling on +31.334611652.
|
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5407
|
dbpedia
|
2
| 28
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3189851/
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Hyperpolarized Magnetic Resonance: A Novel Technique for the In Vivo Assessment of Cardiovascular Disease
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[
"Marie A. Schroeder",
"Kieran Clarke",
"Stefan Neubauer",
"Damian J. Tyler"
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2011-10-04T00:00:00
|
Non-invasive imaging plays a central role in cardiovascular disease for determining diagnosis, prognosis, and optimizing patient management. Recent experimental studies have demonstrated that monitoring hyperpolarized [13] C-labelled tracers with magnetic ...
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|
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3189851/
|
Circulation. Author manuscript; available in PMC 2012 Apr 4.
Published in final edited form as:
PMCID: PMC3189851
EMSID: UKMS36574
PMID: 21969318
Hyperpolarized Magnetic Resonance: A Novel Technique for the In Vivo Assessment of Cardiovascular Disease
, DPhil,1 , PhD,1 , MD FRCP FACC FMedSci,2 and , PhD1
Marie A. Schroeder
1Cardiac Metabolism Research Group (CMRG), Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, UK
Find articles by Marie A. Schroeder
Kieran Clarke
1Cardiac Metabolism Research Group (CMRG), Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, UK
Find articles by Kieran Clarke
Stefan Neubauer
2Department of Cardiovascular Medicine, University of Oxford, Oxford, UK
Find articles by Stefan Neubauer
Damian J. Tyler
1Cardiac Metabolism Research Group (CMRG), Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, UK
Find articles by Damian J. Tyler
1Cardiac Metabolism Research Group (CMRG), Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, UK
2Department of Cardiovascular Medicine, University of Oxford, Oxford, UK
Address for correspondence: Dr Damian J. Tyler, Department of Physiology, Anatomy & Genetics, Sherrington Building, University of Oxford, Parks Road, Oxford, UK. OX1 3PT, Tel: +44 (0)1865 282252, ku.ca.xo.gapd@relyt.naimad
Abstract
Non-invasive imaging plays a central role in cardiovascular disease for determining diagnosis, prognosis, and optimizing patient management. Recent experimental studies have demonstrated that monitoring hyperpolarized 13C-labelled tracers with magnetic resonance imaging and spectroscopy (MRI and MRS) offers a new way to investigate the normal and diseased heart, and that the technology may be useful in patients with heart disease. In this review, we show how hyperpolarized 13C-labelled tracers are generated and have been applied experimentally, and outline the methodological advances currently underway to enable translation of hyperpolarized 13C MRI and MRS into the clinic. Using hyperpolarized 13C-labelled metabolites and metabolic MRI and MRS could help assessment of many human cardiovascular diseases, including coronary artery disease, heart failure and metabolic cardiomyopathies. We discuss the clinical areas in which the technology may, in the future, aid in the diagnosis and management of patients with cardiovascular diseases, including dynamic investigations of in vivo metabolism, coronary angiography and quantitative perfusion imaging. It is possible that, in the future, hyperpolarized magnetic resonance will play a major role in clinical cardiology.
Keywords: Angiography, Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, Diagnosis, Metabolic Imaging, Perfusion
Introduction
Cardiovascular disease (CVD) is associated with high morbidity, mortality, and financial burden to health care services1-3. In the United States, CVD is the leading cause of death in both men and women, accounting for 1 in every 2.9 deaths in 2006, with coronary disease accounting for 1 in every 6 deaths2. Non-invasive cardiac imaging increasingly plays a fundamental role in diagnosing, assessing prognosis, and monitoring of therapy response in cardiovascular disease1, 4, 5. Two-dimensional echocardiography is the most commonly used imaging modality to measure heart function, due to its low cost and widespread accessibility. Computed tomography (CT), single photon emission computed tomography (SPECT), and positron emission tomography (PET) expose patients to ionizing radiation, but have been used successfully for clinical assessment of coronary arteries, myocardial perfusion, and viability, respectively. Cardiovascular magnetic resonance (CMR) applies no ionizing radiation and is now considered the gold standard in assessing cardiac anatomy, function and mass1. CMR has also shown great potential for evaluating perfusion and viability using gadolinium based contrast agents.
MR spectroscopy (MRS) and MR-based molecular imaging methods have shown promise for evaluation of cardiac metabolism. For example, phosphorus-31 MRS assesses high energy phosphate content and energy reserve in the human heart (reviewed in 6). Other implementations of multi-nuclear MR spectroscopy, including oxygen-17, carbon-13, sodium-23 and proton MRS have described measurement of oxygen consumption7, substrate selection and rates of metabolic flux8, post-infarct sodium accumulation9, and lipid accumulation10, respectively, in ex vivo and in vivo experimental models of disease. MR-based molecular imaging of particles labeled with fluorine-19 nuclei has been used to study tracer and drug pharmacokinetics and metabolism11. Combined PET-MRI methods have been demonstrated in pre-clinical and non-cardiac applications, to assess cardiac parameters in an infarct mouse model12 and for structural, functional and molecular imaging of patients with brain tumors13. However, the use of all MR techniques to assess cardiac metabolism in people, and to image myocardial perfusion and viability without gadolinium contrast, has been limited by an intrinsically low sensitivity.
Hyperpolarization, using the dynamic nuclear polarization (DNP) technique, can yield greater than 10,000-fold signal increases in MR-active nuclei14. When used with MR imaging and/or spectroscopy, hyperpolarized 13C-labelled metabolic tracers allow unprecedented real-time visualization of the biochemical pathways of normal and abnormal metabolism15. Alternately, the spatial distribution of hyperpolarized 13C-labelled agents can be imaged to achieve high contrast for perfusion and angiographic applications.
In November 2010, hyperpolarized [1-13C]pyruvate was administered to patients for the first time, with a view towards using metabolic MR imaging to characterize prostate cancer16. No clinical application in patients with cardiovascular disease has been reported so far; however, given the recent studies in cancer and the experimental application in animal models of cardiovascular disease reported over the past few years, a review of the clinical potential of hyperpolarization techniques in cardiology seems timely. In this manuscript we cover: 1) methods for generation of hyperpolarized 13C MR tracers and their experimental use; 2) possible use of hyperpolarized 13C-labelled tracers for human CVD; and 3) recent and future technological advances needed for translation of cardiac hyperpolarized 13C MR into the clinic.
Technical Considerations
Principles of Hyperpolarization
The acquisition of images using MRI relies on the fact that the protons in water and fat act like small bar magnets when placed inside a strong magnetic field. They either align with, or against, the main magnetic field, creating two distinct populations. The difference in the size of these two populations (known as the polarization) is what determines the strength of the MRI signal ( ). At biological temperatures and field strengths attainable in clinical MR scanners, the difference in these populations is small, leading to a low sensitivity. In clinical MRI, this low sensitivity is compensated for by the high concentration of water and fat in the human body. Unfortunately, this is not the case when using other nuclei that are observable with MRI (e.g. 13C, 31P, 19F); limited natural abundance and low in vivo concentrations prevent routine clinical monitoring of such nuclei.
A potential way to overcome the limitations of low sensitivity is to employ techniques of hyperpolarization that can temporarily align all nuclei in the same direction ( ), increasing the polarization, and hence the signal, of a particular compound. Dynamic nuclear polarization (DNP) is one such technique and is of particular interest for metabolic studies, as it has the potential to dramatically increase the sensitivity of MRI to molecules containing 13C nuclei. Hyperpolarization of 13C labeled metabolites via DNP relies on the fact that electrons have a very high level of polarization (almost 100%, i.e. all electrons aligned in the same direction) when at low temperatures (<1.4 K) and in a high magnetic field (typically 3.35 T). The DNP process, shown in , transfers the electronic polarization to the 13C-labelled molecule of interest using microwave irradiation. This is achieved by mixing a source of free electrons (called a radical) with the 13C-labeled sample to be hyperpolarized. The mixed sample is then placed in a high magnetic field and rapidly frozen in liquid helium. The temperature is reduced further by vacuum pumping the sample to very low pressures (~1 mbar) to bring the final temperature to approximately 1 K14. Microwave irradiation, at a frequency determined by the properties of the 13C molecule, the radical and the magnetic field strength, is then applied to transfer the polarization from the electrons to the carbon molecules. Depending on the molecule to be polarized, this process typically takes between 30 to 60 minutes and results in a 13C polarization of up to 50% (i.e. twice as many nuclei pointing in one direction) Such polarization levels are much greater than the normal MRI polarization levels of approximately 0.0005%.
Obviously, the biological applications of a molecule at 1 K are limited, and it is therefore necessary to bring the sample to a physiological temperature before use in an in vivo experiment. To achieve this, the hyperpolarized sample is rapidly dissolved by the injection of a heated and pressurized bolus of aqueous solvent. The resulting solution retains a high level of nuclear polarization (~20-40%) and can be formulated to be at physiological temperature and pH for in vivo injection. The polarization produced then steadily decays back to normal level (thermal equilibrium) at a rate dependent on the inherent properties of the molecule under study (typically 1-2 minutes). Thus, a current limitation of the method is that the enhanced signal is only available for a short period of time.
Theoretically, the DNP technique can be applied to a wide range of molecules labeled with 13C or any other MR-active nucleus. However, for metabolic imaging, several criteria must be met for the successful polarization and in vivo detection of the hyperpolarized molecule and its products. This includes limitations on the molecular properties and the speed of uptake and utilization (for a full review see17). Hyperpolarized 13C MR studies have used the molecules [1-13C]pyruvate, [2-13C]pyruvate and 13C-bicarbonate most frequently, because they polarize efficiently, retain hyperpolarization for a relatively long time (time constants of signal decay ~50 s), and are rapidly metabolized by tissues to provide flux measurements through important enzymes in the heart, as shown in .
Requirements for Clinical Translation & Application
In this review, we summarize work that has used the DNP dissolution process, coupled with 13C MR, to further our understanding of cardiovascular disease. We also speculate on the technology’s clinical potential, highlighting the areas of cardiovascular medicine where its application appears promising. Rapid advances have been made since the advent of the dissolution DNP process, both in terms of technological understanding and biological application, which means that the technique is used by an increasingly large number of pre-clinical research groups, with particular emphasis on oncology and cardiovascular medicine.
The true potential of hyperpolarized 13C MR lies in its translation to clinical research and clinical diagnosis and management. Towards this goal, the ‘first trial in man’ studies were carried out in November 2010 at the University of California at San Francisco, using hyperpolarized [1-13C]pyruvate in the staging of prostate tumors16. Metabolic signatures appropriate to benign and cancerous tissue were seen, with elevated lactate levels within the tumor. Achieving the goal of routine clinical application will require considerable technological advances, in terms of improved methods and hardware for the acquisition of 13C images, and access to affordable hyperpolarization tools and 13C-labelled compounds. Further, the widespread use of hyperpolarized 13C MR methods in the clinic will require the technique to provide a clear advantage over other non-invasive diagnostic technologies in improving clinical outcome.
Hyperpolarized 13C MR offers many theoretical advantages over existing metabolic imaging techniques (e.g. PET). Firstly, the method does not use ionizing radiation, making the procedure an ideal candidate to satisfy the current demand for cardiovascular imaging strategies that minimize patient radiation exposure18, 19. Secondly, the inherent ability of MRI to encode both spatial and spectral information means that it is possible to distinguish between the injected tracer and its downstream metabolic products. This enables metabolic pathways to be tracked over multiple enzyme-regulated steps, potentially yielding sensitive and specific indicators of disease. Thirdly, hyperpolarized 13C-labelled tracers are normal physiologically occurring compounds, minimizing the risk of adverse effects from pharmacological interactions and potentially providing an alternative to contrast agents that are contraindicated in certain patient groups (e.g. gadolinium-based agents in patients with advanced kidney disease). Finally, the potentially high cost of hyperpolarized 13C metabolic tests can be minimized by incorporating the hardware into existing MR facilities and the rapid 13C MRI and MRS scans into standard CMR protocols. Such incorporation should be relatively trivial as the additional hardware demands (multinuclear transmit/receive channels and RF coils) are simple additions to existing MRI equipment.
All imaging techniques have their specific disadvantages and hyperpolarized 13C MR is no exception. The greatest challenge presented by the technique is the rapid decay of MR signal following DNP and dissolution, which means that a hyperpolarized tracer must be injected in vivo as soon as possible after it is produced. Signal decay restricts the compounds that can be hyperpolarized: their relaxation must be slow enough to ensure that they can be administered in vivo and, once administered, they must be metabolized quickly. Additionally, to minimize tracer delivery time, the polarizer equipment must be sited immediately beside the MR system, which introduces the need for sterile handling of compounds within the MRI suite, and the associated regulatory issues. This issue has been addressed to some extent by the design of a sterile polarizer20 and the granting of an ‘Investigational New Drug’ approval for the use of hyperpolarized [1-13C]pyruvate by the FDA16. However, the regulatory issues surrounding the widespread use of new hyperpolarized compounds remain a hurdle to be addressed.
A second limitation of the technique is that, despite the large gains in sensitivity over thermal equilibrium MRI, the technique does not reach the sensitivity of PET, which can detect extremely low concentrations of radioactive tracer in the nM range21, albeit with a low spatial resolution. Therefore, acquisition of sufficient MR signal requires the injection of metabolic tracers at doses in the μM - mM range. This disadvantage is partially ameliorated by the fact that the infused compounds are naturally occurring. However, metabolic tracer levels that approach or exceed physiological levels of the unlabelled compound will be required, and need to be shown to be safe in humans. Thus the metabolic effects of the injection itself will need to be well understood when interpreting results.
Applications in the study of cardiovascular disease and clinical potential
Normal heart
Metabolic substrate utilization in the normal heart
To meet its task of continually circulating blood throughout the body, the heart consumes more energy in the form of ATP than any other organ6. The healthy heart derives 60-90% of its energy from the oxidation of fatty acids, with the remainder primarily from pyruvate oxidation, derived from glucose (via glycolysis) and lactate. However, when plasma substrate composition is altered, the relative contributions of lipids, carbohydrates, and ketone bodies to cardiac ATP production vary substantially22, 23. Before oxidation, all substrates are converted to acetyl-CoA, a two-carbon molecule that enters the Krebs cycle. Carbohydrate-derived pyruvate is transported into the mitochondria and irreversibly converted to acetyl-CoA by the pyruvate dehydrogenase enzyme complex (PDH). Fatty acids are converted to acetyl-CoA via mitochondrial β-oxidation. Randle described the quantitative competition for respiration between glucose and fatty acids, and the variation in their roles as major fuels for the heart, as the glucose–fatty acid cycle24.
In vivo control of the PDH enzyme complex is a fundamental determinant of the relative contributions of glucose and fatty acid oxidation to ATP production in the heart22, 23, 25. Several PDH-mediated mechanisms exist to promote fatty acid oxidation over glucose oxidation, including phosphorylation-inhibition of PDH26 and end-product inhibition of PDH by acetyl-CoA and NADH27. However, metabolic flexibility remains the key characteristic of the heart to meet high ATP demand 28, 29. After eating and in response to energetic stressors, such as aerobic exercise or ischemia, glucose and other carbohydrates become more predominant cardiac fuels 30, 31.
Hyperpolarized 13C MRS to investigate normal cardiac metabolism
Initially, hyperpolarized 13C MRS measurements of in vivo substrate selection were validated via comparison with analogous data collected in vitro and ex vivo. It was first demonstrated in the isolated perfused rat heart that infusion of hyperpolarized [1-13C]pyruvate, and MRS detection of total carbonic acid (13CO2 plus 13C-bicarbonate), measured flux through the PDH enzyme complex32. The operation of the glucose-fatty acid cycle in vivo was subsequently demonstrated in a study using hyperpolarized [1-13C]pyruvate and MRS to measure PDH flux in fed and fasted rats ( ). As Randle observed in vitro in 196324, elevated plasma free fatty acids, typical of the fasted state, reduced PDH-mediated glucose oxidation in vivo, compared with the fed state33. The direct correlation between PDH flux measured in vivo using hyperpolarized [1-13C]pyruvate and PDH activity measured using an in vitro assay has been demonstrated ( ) in rats in which PDH activity was increased from low to high rates (0.77 to 6.75 μmol.min.gww) using metabolic interventions including high-fat feeding and pharmacological PDH activation with dichloroacetate34. Thus, the study of PDH activity and its control has been a major application of hyperpolarized [1-13C]pyruvate.
Real-time Krebs cycle metabolism has also been followed in the heart using 13C MRS, by shifting the 13C-label to the second carbon of pyruvate35. When hyperpolarized [2-13C]pyruvate is used as a metabolic tracer, the 13C-label is retained within acetyl-CoA rather than being released as 13CO2, enabling downstream metabolic steps to be visualized ( ). The enzymatic conversions of hyperpolarized [2-13C]pyruvate to [2-13C]lactate, [1-13C]acetylcarnitine, [1-13C]citrate and [5-13C]glutamate were observed with sub-second temporal resolution in the perfused and in vivo rat heart35, 36. The appearance of 13C in the glutamate pool was delayed by 3 s compared with citrate in vivo, demonstrating the feasibility of measuring instantaneous flux through the first span of the Krebs cycle and the oxoglutarate-malate carrier (OMC).
Rapid mitochondrial cycling between acetyl-CoA and an acetylcarnitine substrate buffer was revealed by following real-time hyperpolarized [2-13C]pyruvate metabolism36. Understanding the role of acetylcarnitine in ‘fine-tuning’ mitochondrial acetyl-CoA supply is important in the healthy heart, as carnitine deficiency has been reported in pathophysiological conditions in which cardiac energetics are also depleted, including old age37, pressure-overload hypertrophy38, and heart failure39, 40. Further advances to our understanding of cardiac metabolism will undoubtedly be forthcoming, as for the first time hyperpolarized 13C MR enables in vivo metabolic processes to be monitored, implying that results will be obtained with 1) preserved myocyte structure and environment, 2) physiologically high cardiac workload, and 3) maintenance of the plasma substrate and neurohumoral composition (with the exception of minor disturbances caused by the metabolic tracer itself).
In future, when hyperpolarized 13C MR methods are approved for cardiovascular use in humans, studies of metabolism in the healthy heart will need to be performed. These studies will be vital to optimizing protocols for cardiac hyperpolarized 13C MRI and MRS, in terms of pre-scan preparation to establish a reproducible metabolic state, identification of tracer doses required, and refinement of MR data acquisition and data processing methods. In addition, defining metabolic substrate selection non-invasively in the healthy human heart will be fundamental to the development of drugs targeting cardiac metabolism. In particular, showing that the glucose-fatty acid cycle operates in humans is of great importance; excess free fatty acid oxidation at the expense of glucose oxidation may adversely affect the heart in a variety of conditions, caused by raised plasma free fatty acids levels and causing the insulin resistance found in diabetes, the metabolic syndrome, obesity, and chronic heart failure6, 41, 42.
Ischemic heart disease
There is preliminary evidence that hyperpolarized 13C MRI could have a role in diagnosing ischemic heart disease by directly detecting the metabolic consequences of myocardial ischemia, assessing the coronary arteries, mapping myocardial perfusion and demonstrating myocardial viability.
Understanding acute ischemia/reperfusion injury
The metabolic consequences of ischemia have been extensively characterized in experimental animal models. In ischemia, primary metabolic adaptations include 1) increased reliance on glycogen breakdown and glucose uptake as a source of energetic fuel43; and 2) reliance on anaerobic glycolysis for energy production44, with decreased Krebs cycle metabolism and oxidative phosphorylation due to low oxygen availability45. The end products of glycolysis include protons (with an associated acidosis), lactate, and NADH that increases the reduction-oxidation (redox) potential of affected cardiomyocytes43, 44, 46-48.
Experiments performed in the globally ischemic, isolated rat heart have demonstrated that hyperpolarized 13C-pyruvate can show the glycolytic switch characteristic of myocardial ischemia. In hearts perfused with Krebs-Henseleit buffer and either pyruvate alone49 or glucose plus pyruvate35, 50, total global ischemia for 10 min resulted in substantially increased 13C-lactate levels compared with controls. In addition, a study using hyperpolarized [2-13C]pyruvate demonstrated reduced oxidative metabolism immediately upon reperfusion, as indicated by reduced flux of the 13C-label into the [1-13C]citrate and [5-13C]glutamate pools35.
Hyperpolarized tracers also enable non-invasive measurement of intracellular and extracellular pH (pHi and pHe). After infusing hyperpolarized 13C-bicarbonate intravenously in mice with subcutaneously implanted tumors51, MR images showed the distribution of hyperpolarized 13C-bicarbonate and 13CO2. A pHe map was then generated throughout the tumor using the 13C-bicarbonate/13CO2 ratio and the Henderson-Hasselbalch equation ( ). In tumors, this approach succeeded because the high carbonic anhydrase activity on the surface of tumor cells52 and within erythrocytes53 ensured virtually instantaneous equilibrium between the infused 13C-bicarbonate and 13CO2. In the heart, use of hyperpolarized 13C-bicarbonate would also be expected to accurately measure pHe in vivo, as the red cell carbonic anhydrase activity is maintained. This may become a sensitive imaging marker of ischemia.
Hyperpolarized 13CO2 and 13C-bicarbonate generated as a byproduct of [1-13C]pyruvate metabolism can measure in vivo cardiac pHi50. Isolated perfused heart studies, in vivo studies and mathematical modeling established that 13CO2 produced by mitochondrial PDH remains within cardiomyocytes for a sufficiently long time to equilibrate with 13C-bicarbonate. Therefore, detection of the cardiac 13C-bicarbonate/13CO2 ratio after hyperpolarized [1-13C]pyruvate infusion offers a novel non-invasive technique to measure cardiac pHi. Magnetization transfer 31P MRS54 and Amide Proton Transfer Imaging55 have previously been used to measure pHi in vivo; however low sensitivity and limited field homogeneity due to cardiac motion, respectively, imply that hyperpolarized [1-13C]pyruvate may be the first method for mapping cardiac pHi that could realistically be applied in patients.
In CAD patients, myocardial ischemia is a regional phenomenon with variable transmural severity, being more severe in the endocardium compared with the epicardium and ranging in severity from transient and reversible (angina, stunning, hibernation) to prolonged and irreversible (myocardial necrosis and scar). In between these two extremes, many clinical situations can be recognized in which a mixture of viable and necrotic/scarred tissue exists48. Characterizing the metabolic patterns unique to ischemic myocardium in CAD patients has been complicated by tissue heterogeneity and the difficulty of making non-steady-state measurements of lactate production and/or pH from the precise site of the ischemic zone48, 56. Therefore, use of hyperpolarized 13C MRI to image localized changes in lactate accumulation and pH non-invasively, and with high spatial resolution, may be valuable in clinical research to reveal the metabolic changes occurring with acute ischemia/reperfusion injury in humans.
Using hyperpolarized 13C MRI to show ischemia may have a direct clinical application in determining the immediate tissue outcome of procedures, such as percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG). MR images of hyperpolarized [1-13C]pyruvate metabolism that show normal pHi (~7.0–7.2 46) and minimal 13C-lactate production may indicate that blood flow is adequately restored57, 58. Further, hyperpolarized 13C MRI examination immediately after primary PCI may indicate a patient’s potential for recovery and degree of irreversible damage. Hyperpolarized 13C MRI may also contribute to clarifying the role of ischemia in cardiac syndrome X59.
Demonstrating coronary anatomy: Coronary angiography
Despite the associated doses of ionizing radiation, cardiac computed tomography (CT) is the current gold standard for non-invasive assessment of the coronary arteries, based on calcium scoring and CT coronary angiography60. Although progress has been made61, reliable coronary lumen imaging with CMR has been hindered by the high temporal and spatial resolution required to accurately image stenosed arteries1. However, when hyperpolarized 13C-labelled substrates are imaged with MRI, the lack of background signal means that acquired images only show structures containing the infused contrast agent62. The resultant gains in signal-to-noise ratio and contrast-to-noise ratio may enable rapid, high resolution imaging of the coronary arteries using MRI, which would allow direct and repeatable assessment of coronary arteries without the use of ionizing radiation.
Towards this goal, Golman et al. provided the first evidence that hyperpolarized 13C MRI, using either dissolution DNP methods or other hyperpolarization techniques, may be useful to visualize the coronary arteries62. Hyperpolarized 13C-urea was infused via a catheter after selective intubation of the left coronary artery in healthy pigs, and the coronary arteries were imaged using a balanced steady-state free procession (b-SSFP) MRI acquisition sequence. As an initial proof-of-concept study, the results were promising. However, the images were acquired using a projection imaging technique (slice thickness of 15 cm) and the in-plane spatial resolution (~2 mm × 2 mm) was an order of magnitude away from that achievable with CT. The temporal resolution of the images was 422 ms (one image acquired every heart beat), still some way from that achievable with CT (~ 80 ms).
The limited spatial resolution currently achievable with hyperpolarized 13C MRI is the result of both the short acquisition time (caused by the decay of the enhanced signal) and the demands that 13C imaging places on the gradient system of the MRI system due to the low gyromagnetic ratio of 13C (4 times lower than 1H). Future hardware improvements may help to overcome the gradient limitations and the development of new intravascular hyperpolarized agents with a longer relaxation time, possibly based on other nuclei (e.g. 15N), may improve the achievable spatial resolution. However, the need to limit background signal may require direct infusion of the tracer into the coronary arteries. This would still necessitate invasive catheterization, limiting the advantage of hyperpolarized 13C MRI over conventional x-ray coronary angiography to the elimination of the radiation burden.
Demonstrating stress-inducible ischemia
In the wake of the COURAGE trial63, there has been increased importance placed on demonstrating inducible myocardial ischaemia before initiating an elective coronary intervention. Magnetic resonance imaging of myocardial perfusion with a gadolinium-based contrast agent during pharmacological stress has emerged as a highly sensitive and specific technique for non-invasive demonstration of reversible, stress-inducible ischemia64. MRI has a number of advantages over other established techniques, such as single photon emission computerized tomography (SPECT) and stress echocardiography, including high spatial and temporal resolution, no exposure to ionizing radiation, no attenuation or scatter artifacts and no image orientation constraints. However, quantitative analysis of MR perfusion images remains time consuming, and most centers continue to limit analysis to visual assessment64, 65. This is usually sufficient to identify perfusion defects, though quantitative image analysis may be needed to identify stress-inducible ischemia in patients with 3-vessel disease and balanced myocardial hypoperfusion64.
Unlike gadolinium-based contrast agents, hyperpolarized agents directly generate MR signal, so that 13C MR signal intensity is proportional to tissue 13C concentration and therefore tissue perfusion62. Imaging the distribution of a non-metabolized hyperpolarized agent is a theoretically simple method for quantitative perfusion mapping to demonstrate stress-inducible ischemia. Golman et al. have demonstrated the feasibility of imaging myocardial 13C distribution to map perfusion. Hyperpolarized 13C-urea was infused intravenously into a pig, and images were acquired with a b-SSFP pulse sequence and 3 mm × 3 mm in-plane spatial resolution with 10 mm slice thickness62. Upon LAD occlusion, no signal was measured in the corresponding coronary territory. Further, the authors calculated quantitative myocardial perfusion maps on a pixel-by-pixel basis using the Kety-Schmidt method66, after correcting for hyperpolarized tracer signal decay.
To extend hyperpolarized 13C MRI methods of quantitative perfusion imaging to patients, hyperpolarized agents that are not metabolized in vivo should be developed that have long relaxation times, and their ability to indicate myocardial perfusion should be evaluated under rest and adenosine stress conditions. Furthermore, images illustrating both the perfusion and metabolism of hyperpolarized [1-13C]pyruvate at rest and during adenosine stress should be compared. In stress-inducible ischemia, it may be possible to detect regional increases in the conversion of [1-13C]pyruvate into [1-13C]lactate, which could indicate perfusion defects in individual coronary territories.
Incorporation of hyperpolarized agents into conventional MR myocardial perfusion imaging methods could generate a technique that is, conceptually, much like quantitative SPECT but without the use of ionizing radiation. Furthermore, the spatial resolution achieved by Golman et al (3 mm in-plane, 10 mm slice thickness) is already superior to the spatial resolution attainable with SPECT, and the future development of novel pulse sequences for 13C perfusion mapping will undoubtedly improve this resolution further.
While hyperpolarized 13C-labeled agents may simplify quantification relative to conventional MR based perfusion methods, their use in the clinic would increase imaging complexity and cost, and it is currently unclear if the spatial and temporal resolution of hyperpolarized 13C MRI will be able to compete with that of gadolinium contrast agent-based perfusion methods. Areas of potential advantage for the use of hyperpolarized 13C MRI over gadolinium based approaches may be to demonstrate stress-inducible ischemia in patients with suspected 3-vessel disease and balanced hypoperfusion, who require quantitative perfusion imaging (which should be more straight forward for hyperpolarized approaches), and patients with advanced kidney failure, who would not be suitable for gadolinium-based contrast agents.
Demonstrating myocardial viability
In patients with ischemic heart disease, surgical revascularisation of akinetic, yet viable, tissue significantly improves outcome67-71. The use of non-invasive imaging to identify regions of stunned and hibernating versus necrotic and scarred myocardium (i.e. the determination of tissue viability) is essential for the optimal treatment of patients with ischemic heart disease and reduced LV function considered for revascularization67, 68, 71-73. Currently, the most promising techniques to assess myocardial viability include CMR with late gadolinium enhancement (LGE) and PET perfusion/metabolism mismatch studies performed using the tracers 18F-FDG and 13N-ammonia74. In CMR with LGE, viability can be quantified by the transmurality of hyperenhancement in dyskinetic or akinetic segments1, 70, and the transmural extent of scar correlates closely with the likelihood of segmental recovery70, 75.
A study by Golman et al used CMR with LGE as a gold standard to verify that hyperpolarized 13C MR could demonstrate myocardial viability62, 76. Hyperpolarized [1-13C]pyruvate was infused intravenously into a pig, following either a 15 min or a 45 min occlusion of the LCx and 2 hours of reperfusion. 13C metabolic images were acquired with an in-plane spatial resolution of 5 mm × 7.5 mm, slice thickness of 20 mm and a total acquisition time of 13.4 s. Metabolic images were compared with CMR-LGE images acquired 15 min after gadolinium infusion, with 3 mm × 3 mm in-plane spatial resolution and a slice thickness of 10 mm. Following the 15 min occlusion, CMR revealed hypokinetic wall motion with no accompanying hyperenhancement on LGE, indicative of stunned myocardium. The accompanying metabolite maps revealed suppressed PDH-mediated 13C-bicarbonate production that was co-localized with the hypokinetic areas ( ). Following a 45 min occlusion, hyperenhancement indicating irreversible damage was detected, and both 13C-bicarbonate and [1-13C]alanine production were reduced in the corresponding area ( ). This suggests that not only can hyperpolarized 13C distinguish between viable and necrotic myocardium, as can LGE, but, unlike LGE, it can also distinguish between normal and akinetic viable myocardium, due to the unique metabolic signatures of each condition.
One major advantage of hyperpolarized methods over CMR-LGE and PET may be the time-efficiency of the method. In the Golman study, hyperpolarized 13C MRI only required one bolus of contrast agent and a 13.4 s scan time to distinguish between viable and non-viable tissue. Clinically this would provide a logistic benefit over CMR-LGE, which requires scan times of 5-20 min, and PET, which requires a dual bolus of radioactive tracer and scan times approaching 1 h77.
Future development of the technique will be necessary to determine if hyperpolarized 13C MRI can assess myocardial viability at relevant doses of infused [1-13C]pyruvate, and if the technique will bring the spatial resolution required to assess tissue in heterogeneous ischemic zones and to determine the transmural extent of scar. Although the spatial resolution of hyperpolarized 13C MRI compares favorably to that of PET, it remains to be seen whether improvements to 13C data acquisition methods can achieve spatial resolution that approaches the resolution attainable with CMR-LGE.
Heart failure
Metabolic substrate utilization in the failing heart
The occurrence of metabolic dysfunction in heart failure is undisputed, yet the causal role(s) of altered substrate utilization and myocardial energetics remains controversial6, 23. Patient studies performed using 31P MRS and PET imaging have confirmed that cardiac energetics are abnormal throughout the progression of heart failure. Myocardial phosphocreatine/ATP ratios, as determined using 31P MRS, are reduced in heart failure, correlate with New York Heart Association classes78 and with indices of systolic78 and diastolic79 function, and predict prognosis80. PET studies have demonstrated that, throughout the progression of heart failure, the balance between glucose and fatty acid oxidation shifts81-83, and that many treatments including β-blockade and cardiac resynchronisation therapy normalise myocardial oxidative metabolism and efficiency82, 84, 85. However, controversy remains over the exact nature of these metabolic alterations86, with the relative utilization of fatty acids either increased, maintained or decreased depending on the aetiology and stage of disease6, 23, 87. Changes in glucose utilization in the failing heart are also poorly understood6. This controversy is due, in part, to the fact that myocardial metabolic investigations are either carried out using destructive in vitro methods or using in vivo radio-labelled tracer techniques, including PET. PET studies in patients have yielded inconsistent results describing the nature of shifts in substrate selection that occur with heart failure, depending on the disease aetiology, patient preparation prior to the study, and if the PET tracers were oxidised (11C-glucose and 11C-palmitate81) or measured only substrate uptake (18F-FDG and 18F-fluoro-6-thiaheptadecanoic acid82, 83). To understand the timing and consequences of switches in substrate metabolism during the development of heart failure, and to potentially use those switches for disease diagnosis, a non-invasive method will be required that is capable of serially monitoring in vivo cardiac metabolism86.
Hyperpolarized 13C MR to investigate metabolism in the failing heart
Studies are currently using hyperpolarized 13C MR to examine substrate selection throughout the progression of heart failure, in a rat model of LV remodeling following myocardial infarction88, and a porcine tachycardia-induced model of dilated cardiomyopathy89. These studies have serially examined hyperpolarized [1-13C] and [2-13C]pyruvate metabolism with MRS and/or MRI and have demonstrated reduced incorporation of the 13C label into the [5-13C]glutamate pool throughout the progression of the disease.
In future, if serial 13C measurements are correlated with cine-MRI measurements of cardiac structure and function, 31P MRS measurements of cardiac energetics, and biochemistry and histology, it may be possible for these studies to gain unique insight into the temporal relationships that exist between alterations in substrate metabolism, energetics and function, and to determine if altered metabolism is a cause or consequence of heart failure86. Distinct profiles of 13C-labelled tracer metabolism may emerge that specifically correlate with cardiomyopathy stage, genotype and aetiology. If this is the case, metabolic profiling with hyperpolarized 13C MR may become a useful technique for cardiologists to predict heart failure patient prognosis and ability to recover function, and to optimise disease management based on stage and aetiology6, 86, 90. For example, determination of 13C metabolic profiles may help to diagnose hypertrophic cardiomyopathy (HCM) in cases of borderline or overlapping phenotypes.
Applications of hyperpolarized 13C MR to the failing heart may also aid the design and evaluation of novel treatments. New drugs for normalization of cardiac metabolism and energetics may emerge, based on specific metabolic defects identified by hyperpolarized 13C MR. Serial 13C metabolic profiling may also be useful to monitor the efficacy of new heart failure treatments, particularly metabolic modulators such as trimetazidine91, 92 and carnitine palmitoyltransferase-1 inhibitors93, 94, but also including non-metabolic drugs and interventional therapies that may improve cardiac efficiency82, 84, 85. Finally, metabolic profiling with hyperpolarized 13C MR may be used to assess transplanted hearts to detect early signs of rejection.
Other forms of metabolic heart disease
Diabetic cardiomyopathy
Diabetic cardiomyopathy is defined as the alteration of cardiac structure and function induced independently by diabetes mellitus in the absence of ischemic heart disease, hypertension or other cardiac pathologies95-97. A consensus has yet to be reached regarding the precise diagnostic criteria of diabetic cardiomyopathy, though its diagnosis currently relies on two important components96: 1) the detection of myocardial abnormalities, usually including evidence of hypertrophy and LV diastolic dysfunction determined via non-invasive echocardiographic or CMR methods, and 2) the exclusion of other contributory causes of cardiomyopathy. The precise pathophysiological mechanisms leading to the development of diabetic cardiomyopathy also remain unclear98. However, the altered myocardial substrate metabolism characteristic of diabetes mellitus has been linked with cardiomyopathy progression97, 99, 100, suggesting that hyperpolarized 13C MR may play a role in clarifying the mechanisms of disease and in developing more specific diagnostic criteria.
In animal models of diabetes, the heart switches almost exclusively to fatty acids and ketone bodies for its ATP requirements, at the expense of glucose and pyruvate oxidation23, 99. This switch in substrate utilization is dominated by decreased PDH activity101-103, due to increased plasma free fatty acids. Hyperpolarized [1-13C]pyruvate with MRS has been used to measure in vivo cardiac substrate selection in rat models of acute streptozotocin-induced type 1 diabetes and insulin resistance induced by 28 days of feeding a high fat diet. In type 1 diabetic rats, PDH flux was 65% lower compared with control rats and correlated with disease severity33, whereas insulin resistant rats had a 56% reduction in PDH flux34. In future, serial studies with hyperpolarized [1-13C]pyruvate, [2-13C]pyruvate and potentially other metabolic tracers that target oxidative metabolism downstream of PDH should be performed to examine longitudinal changes of in vivo metabolism in chronic models of insulin resistance, metabolic syndrome, and diabetes. Collectively these studies could more fully illustrate the metabolic alterations involved in the onset and progression of diabetic cardiomyopathy.
Hyperpolarized 13C MR measurements of cardiac glucose oxidative capacity (at the level of PDH flux) could optimize the use of novel therapies for diabetes and cardiomyopathy that improve glycaemic control and normalize substrate selection, such as glucagon-like peptide analogues104, 105 and dipeptidyl peptidase 4 inhibitors106. Additionally, clinical studies using cardiac hyperpolarized 13C MR methods to serially examine diabetic patients could 1) reveal the role of altered substrate selection in compromising cardiac structure and function; 2) recognize an early-stage metabolic profile indicating that a diabetic patient may be at risk for developing cardiomyopathy; and 3) identify the profile of 13C substrate utilization confirming that a patient’s heart failure is related to diabetes.
Other metabolic cardiomyopathies
Evidence is emerging that many patients with ‘idiopathic’ cardiomyopathy have inherited defects in either mitochondrial energy metabolism or sarcomeric proteins 107. The so-called ‘metabolic cardiomyopathies’ develop in the context of a wide spectrum of systemic pathological conditions. In many cases, patients present with symptoms of systemic disease, though in some conditions, including Anderson-Fabry disease (a disorder of lysosomal metabolism caused by α-galactosidase A deficiency), several types of glycogen storage disorders, inborn errors of fatty acid metabolism and myopathic carnitine deficiency, patients may initially present with cardiomyopathy1, 107-109. Due to the rare occurrence of many metabolic cardiomyopathies and the poor correlation between in vitro enzyme assays and disease severity107, initial diagnosis can be difficult and can often only be made conclusively via genetic evaluation108.
When hyperpolarized 13C MRI and MRS methods are approved for human use, determining the 13C metabolic profiles of patients with metabolic cardiomyopathies could help to clarify the specific biochemical defects that underlie the development of cardiac disease. Further, in patients with systemic metabolic disorders that initially and predominantly manifest as a cardiomyopathy, 13C metabolic profiling could confirm the metabolic basis of disease and suggest the optimal course of treatment. As an example, in vivo metabolism in the hyperthyroid rat heart has been investigated with [1-13C]pyruvate and MRS110. The term “hyperthyroidism” encompasses a heterogeneous group of disorders, all characterized by elevated levels of thyroid hormones and an increased basal metabolic rate. Hyperthyroidism causes many systemic effects which markedly affect the heart, increasing heart rate, contractility and cardiac output, causing hypertrophy, and altering myocardial substrate selection111. Hyperpolarized 13C MRS revealed a 55% reduction in PDH flux in hyperthyroid animals, compared with controls, a result that helped to clarify one cause of thyroid hormone-induced cardiomyopathy110.
It is likely that carnitine deficiency may be detectable by following the conversion of hyperpolarized [2-13C]pyruvate into [1-13C]acetyl-carnitine, and simple carnitine supplementation reverses the symptoms of intractable congestive heart failure within 5 months109. Additionally, glycogen storage disorders and Anderson-Fabry Disease can be misdiagnosed as HCM1, 108, 112, and the different clinical courses associated with HCM and metabolic cardiomyopathies underscore the importance of accurate diagnosis. For example, glycogen storage disease has been linked to progressive conduction-system disease that may necessitate the implantation of a pacemaker and aggressive control of arrhythmias108, whereas patients with Anderson-Fabry disease respond to enzyme-replacement therapy113. Metabolic phenotyping of these conditions with hyperpolarized 13C MRS could make an important clinical contribution to the diagnosis and management of such patients.
Future directions and challenges
Eventual translation of hyperpolarized 13C methods into the clinic will require considerable technological advances, in terms of improved methods and hardware for the acquisition of 13C images. In order to identify focal regions of ischemia using lactate and/or pH measurements, for example, three-dimensional images of [1-13C]lactate, H13CO3− and 13CO2 with high spatial resolution will be required. Recently, a chemical-shift specific, cardiac- and respiratory-gated, multi-slice spiral MR imaging method was demonstrated with the capacity to map the distribution of [1-13C]pyruvate, [1-13C]lactate, and H 13CO3− with 8.8 mm in-plane spatial resolution and 10 mm slice thickness in normal pig hearts in vivo (voxel size of 0.774 ml)114, which suggests the feasibility of acquiring such data from patients ( ). Further, successful dynamic lactate imaging with a voxel size of 0.125 ml has been demonstrated in tumors115, and despite the added challenges of acquiring MR images from the beating heart it is likely that the spatial resolution attainable for dynamic 13C-lactate imaging will improve towards this level. Cardiac metabolic imaging will also benefit from the design and implementation of outer volume suppression RF pulses that ensure metabolites generated outside the heart do not wash into the region of interest and confound studies of cardiac enzymatic fluxes116.
Development of metabolic tracers beyond [1-13C]pyruvate, [2-13C]pyruvate, and 13C-bicarbonate will enable additional metabolic enzymes to be studied in the heart. Distinct spans of the Krebs cycle may be assessed in the heart using either hyperpolarized [1-13C]glutamate or [1,4-13C2]fumarate, whose respective conversions to [1-13C]α-ketoglutarate and [1,4-13C2]malate have been demonstrated both in vitro and in vivo17, 117. Additionally, hyperpolarized [1,4-13C2]fumarate may emerge as a specific metabolic marker of cell death by necrosis117. Hyperpolarized [1-13C]acetate may form the basis of an assay for intracellular CoA levels118 or, like the PET tracer 11C-acetate, may enable measurement of total metabolic capacity84, 85.
A recent proof-of-concept study has demonstrated that a ‘secondary hyperpolarization’ approach, in which DNP-hyperpolarization is transferred catalytically between molecules119, may enable polarization of metabolites that otherwise would not polarize efficiently. This, along with other techniques using long lived ‘singlet states’120, may extend the hyperpolarized lifetime and therefore the potential imaging window. Further, an increase in attainable polarization, from the typical polarization levels of ~30% described previously, to ~60%, has recently been achieved by increasing the magnetic field strength of the polarizing magnet121 and will aid detection of low concentration 13C-labelled metabolites and enable development of new metabolic tracers.
Quantification of instantaneous metabolic fluxes will be essential for future development of both basic science and translational applications of hyperpolarized 13C MR. Basic science studies should strive towards both measuring metabolic fluxes in units that can be compared with conventional biochemical assays (i.e. μmol/min/g), and describing 13C flux through dynamic metabolic pools with rapid metabolic turnover, where 13C may not accumulate, such as [1-13C]citrate and [1-13C]acetyl-CoA. In the clinic, a system for monitoring the effects of the hyperpolarized agent’s input function on metabolic images must be developed, as tracer pharmacokinetics could differ dramatically between control subjects and patients89. A pulse sequence that dynamically images infused hyperpolarized [1-13C]pyruvate with a low flip angle has recently been demonstrated in pigs, and is the first step towards input function quantification122. Finally, reproducibility studies to identify quantitative biomarkers that are both sensitive and specific to cardiovascular disease must be performed. Towards this goal, ratiometric markers that self-normalize to basal variations in tracer pharmacokinetics and metabolism may prove useful.
In conclusion, when used with MRI and MRS, hyperpolarized 13C-labelled tracers offer the first method to measure cardiac substrate metabolism in real-time and in vivo. The recent FDA approval given to hyperpolarized [1-13C]pyrvuate for clinical studies of prostate cancer suggests that hyperpolarized 13C MR methods may be available for human studies of cardiovascular disease in the near future. While the clinical applications of cardiac hyperpolarized 13C MR remain speculative, the technique has potential to 1) advance basic knowledge, 2) improve diagnosis, and 3) optimize treatment, of ubiquitous conditions, such as myocardial ischemia and heart failure, as well as rare diseases, such as metabolic cardiomyopathies ( ). Future work with hyperpolarized 13C MR should focus on hardware and software development, data quantification, and development of new, highly polarized, tracers to facilitate translation of the technology into the clinic and its application in clinical studies. It is possible that, in the future, hyperpolarized methods will form an important part of routine clinical assessment in cardiology.
Table 1
ApplicationTargetProposed Methods Normal heart
Optimize protocols
Understand normal metabolic fluxes
Demonstrate glucose-fatty acid cycle for drug targets
All tracers*
All tracers
[1-13C]pyruvate
Ischemic heart
disease
Understand acute ischemia-reperfusion injury
Evaluate procedure outcome
Demonstrate coronary anatomy
Demonstrate stress-inducible ischemia
Evaluate myocardial viability
[1-13C]pyruvate and 13C-bicarbonate
[1-13C]pyruvate and 13C-bicarbonate
Non-metabolized tracers§
[1-13C]pyruvate, non-metabolized tracers
[1-13C]pyruvate
Heart failure
Understand alterations in substrate metabolism
Metabolic profiling to aid patient management
All tracers
[1-13C]pyruvate, [2-13C]pyruvate, 13C-bicarbonate
Metabolic cardiomyopathies
Diabetic cardiomyopathy
Identify heritable metabolic cardiomyopathies
[1-13C]pyruvate
All tracers
Acknowledgements
For their constant hard work, enthusiasm and support, we thank all the members of the Cardiac Metabolism Research Group, particularly Prof. Sir George Radda, Dr Helen Atherton, Dr Lowri Cochlin, Mr Daniel Ball and Mr Michael Dodd. We also thank Prof. Lionel Opie, Dr. Chuck Cunningham, and Dr. Albert Chen for engaging in many helpful discussions.
Funding Sources
We would like to gratefully acknowledge the support of the British Heart Foundation (KC – Programme Grant RG/07/004/22659, SN – Programme Grant RG/10/002/28187, DT – Intermediate Research Fellowship FS/10/002/28078 & Project Grant PG/07/070/23365, the Medical Research Council (DT - New Investigator Award G0601490), the Wellcome Trust (MS was supported by a Sir Henry Wellcome Post-doctoral Fellowship), the Oxford BHF Centre for Research Excellence and the Oxford NIHR Biomedical Research Centre.
Footnotes
Subject codes: [30] CT and MRI, [124] Cardiovascular Imaging Agents/Techniques, [107] Biochemistry and Metabolism
Conflict of Interest Disclosures
MS: None
SN: None
KC: Grant support from GE Healthcare
DT: Grant support from GE Healthcare and Oxford Instruments Molecular Biotools
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'Wait Wait' for July 13, 2024: With Not My Job guests Sam Sanders and Zach Stafford
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This week, Wait Wait is live in Chicago with special guests Sam Sanders and Zach Stafford and panelists Tom Papa, Paula Poundstone, and Emmy Blotnick
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Audio transcript
JENNIFER MILLS, BYLINE: The following program was taped in front of an audience of real, live people.
(SOUNDBITE OF MUSIC)
CHIOKE I'ANSON: From NPR and WBEZ Chicago, this is WAIT WAIT... DON'T TELL ME, the NPR news quiz. I'm the voice on Bill Kurtis' voicemail, Chioke I'Anson. And here is your host at the Studebaker Theater in the Fine Arts Building in Chicago, Ill., Peter Sagal.
PETER SAGAL, HOST:
Thank you, Chioke.
(CHEERING)
SAGAL: And thank you, everybody.
(CHEERING)
SAGAL: Ah. That's what really helps our show - day drinking.
(LAUGHTER)
SAGAL: Later on, on our show today, we are going to be speaking to two of the hosts of the hit podcast "Vibe Check," Zach Stafford and Sam Sanders. Now, Sam, of course, used to be a colleague of ours at NPR, and I am so excited to ask him what it is like to finally be able to swear into a microphone...
(LAUGHTER)
SAGAL: ...And then watch his reaction when he realizes that he can't again.
(LAUGHTER)
SAGAL: But first, we want you to watch your manners when you call in to play our games. The number is 1-888-WAIT-WAIT. That's 1-888-924-8924. Hi, you are on WAIT WAIT... DON'T TELL ME.
MARY ELIZABETH: Hey. My name's Mary Elizabeth (ph), and I'm calling from Annandale, Va.
SAGAL: Great. What do you do there in Annandale?
MARY ELIZABETH: So I work for a legal services nonprofit in D.C. as an executive assistant.
SAGAL: Well, that's cool. That's cool. That's good work. So you help people who need legal services but cannot normally afford them?
MARY ELIZABETH: So that's what we do as an organization. I just read emails all day.
PAULA POUNDSTONE: That's OK.
SAGAL: Strange. So do I. Well, welcome to the show, Mary Elizabeth. Let me introduce you to our panel this week. First, she's a comedian that you can see at the Comedy Cellar in New York City. It's Emmy Blotnick.
EMMY BLOTNICK: Hi. Hi, Mary Elizabeth.
MARY ELIZABETH: Hello.
(APPLAUSE)
SAGAL: And a comedian and host of the hit podcast "Breaking Bread With Tom Papa." That would be Tom Papa.
(APPLAUSE)
TOM PAPA: Hello.
MARY ELIZABETH: Hi.
SAGAL: And a comedian performing on September 14 at the McAninch Arts Center in Glen Ellyn, Ill., and host of the podcast "Nobody Listens To Paula Poundstone." That would be, of course, Paula Poundstone.
(CHEERING)
POUNDSTONE: Hey, Mary Elizabeth.
MARY ELIZABETH: Hi, Paula.
SAGAL: So, Mary Elizabeth, welcome to our show. You're going to play Who's Chioke This Time? Chioke I'Anson, filling in for Bill Kurtis, is going to read you three quotations from this week's news. If you can correctly identify or explain just two of them, you'll win our prize, the voice from our show that you might want on your voicemail message. You ready to go?
MARY ELIZABETH: Absolutely.
SAGAL: All right. Let's do it. Your first quote is a pretty good example of optimism.
I'ANSON: This is an exciting time for democracy.
SAGAL: That was senior Democratic official George Clooney...
(LAUGHTER)
SAGAL: ...In a New York Times op-ed asking Joe Biden to do what?
MARY ELIZABETH: Step down from the Democratic nomination.
SAGAL: Yes, to drop out of the...
(SOUNDBITE OF BELL)
SAGAL: ...Presidential race. That's right.
(APPLAUSE)
SAGAL: So two weeks ago, Joe Biden did a debate that was organized to finally put to rest the question of whether he was too old to be president, and good news - it did.
(LAUGHTER)
SAGAL: So now President Biden is being urged to drop out of the race by all kinds of people. David Axelrod has weighed in. James Carville - and a bunch of other people who are also too old to be making important decisions.
(LAUGHTER)
POUNDSTONE: OK, I - this argument over whether he can be the president or not - he is the president. He's being the president now. I - one night, he hung his mouth open a lot...
SAGAL: Yeah.
(LAUGHTER)
SAGAL: It happens.
POUNDSTONE: ...Which I wish he hadn't, but...
SAGAL: I mean, I leave my garage door open sometimes all day.
POUNDSTONE: Exactly.
SAGAL: And nobody tells me I have to quit.
POUNDSTONE: Yeah, I did. I - did anybody else feel the need to lunge at the television and, like, just push his jaw up?
(LAUGHTER)
POUNDSTONE: You know, I've certainly enjoyed the "Ocean's Elevens" movies, but...
(LAUGHTER)
SAGAL: Now, the - we - now, here's...
PAPA: Well, no, but Paula's - I feel Paula's - I know. It's a worry because I went from girlfriend to girlfriend my whole life, and I never broke up with a girlfriend unless I knew I had another girlfriend that was a possibility.
(LAUGHTER)
PAPA: And everyone's saying we should - Biden should just - we should break up with him. Who's next?
POUNDSTONE: Right.
PAPA: Like, if you came in and said, we've got something solid. We could all get around it.
POUNDSTONE: Right.
PAPA: But we're just like, let's kick him out and see what happens in the next four months.
SAGAL: Well, that's actually one of the big questions - is, like, if Biden were to drop out, who would then run as the Democratic candidate for president? Many people say, OK, it's obviously going to be Vice President Kamala Harris.
POUNDSTONE: Yes.
SAGAL: But she - you know, that's not good. That's awkward. She never planned becoming president by running when Biden is forced to drop out. She planned to become president by him dying in office.
(LAUGHTER)
SAGAL: She's been practicing (ph) her sad face for four years.
POUNDSTONE: I'm self-employed. So when I try to get me to step down...
(LAUGHTER)
POUNDSTONE: ...It's going to be obvious.
SAGAL: Yes.
(LAUGHTER)
SAGAL: All right.
(LAUGHTER)
SAGAL: Mary Elizabeth, we have more news to discuss. Here is your next quote. It is a sign you might see an angry person holding up in Barcelona.
I'ANSON: Go home.
SAGAL: That is a message seen all over that city as people there are telling who to go home?
MARY ELIZABETH: Tourists.
SAGAL: Tourists. Yes, exactly.
(SOUNDBITE OF BELL)
SAGAL: Barcelona...
(APPLAUSE)
SAGAL: ...Like a lot of major cities in Europe, is absolutely overrun with tourists this summer, making it practically unlivable for the residents. So the locals are shouting at tourists to go home and - this is true - actually squirting them with water pistols when they see them.
(LAUGHTER)
SAGAL: Fortunately, not a single American, of course, speaks Spanish. So they're all like, oh, honey, this is great. They're baptizing us.
(LAUGHTER)
POUNDSTONE: Do we - you know, in Chicago, in the summer, if someone - you were here as a tourist, and somebody sprayed you with a water gun, you'd be grateful.
SAGAL: That's true. You know, it is rather hot.
POUNDSTONE: It's so mercilessly hot...
SAGAL: That is nice.
POUNDSTONE: ...sometimes. Like, wow, they do the nicest thing there.
SAGAL: Yeah.
(LAUGHTER)
PAPA: No, I think this is why the campaign isn't really going to work 'cause when you try and kick out tourists, everybody who's there is thinking - is looking at the other tourists and going, oh, look at these tourists. They're the worst.
SAGAL: Yeah, I know.
PAPA: But I've got it. Like, they really know that - like, I could totally blend in.
SAGAL: You know what you could do if you really didn't like tourists? This just occurred to me. Just put on a very practical suit and good walking shoes, hold up an umbrella - right? - and then just lead people directly into the sea.
(LAUGHTER)
POUNDSTONE: I - sometimes, when I go other places, I try to pretend that I am the tour guide.
SAGAL: Do you really?
POUNDSTONE: Yeah, even though I don't know anything about anything. Like, at Washington, D.C., you know, there's so many tourists there all the time. And there's always - you always see people. So I will - I'll just go up to a group of people and go, Washington, our nation's capital.
(LAUGHTER)
PAPA: I was in Venice, and that place - they come in with these giant cruise ships.
SAGAL: It's terrifying 'cause the cruise...
PAPA: And they just dump 5,000 people there and go, go get lunch.
(LAUGHTER)
PAPA: It's horrible. It's a horrible place. These giant, big, white porcelain toilets with 5,000 people on them.
SAGAL: Yeah. Well, that's why in Barcelona, they're using water pistols, and in Venice, they're using torpedoes.
(LAUGHTER)
SAGAL: But, I mean - all right. I mean, I get it. I get it that it's a problem, and they're trying to lower the impact of tourists on their city. But did Venice really have to put Rick Steves' head on a pike at the main entrance?
(LAUGHTER)
POUNDSTONE: Have we gone too dark?
(LAUGHTER)
POUNDSTONE: Am I reading the room correctly? - Rick Steves' head on a pike.
SAGAL: Well, you know. Your - Mary Elizabeth, your last quote is a hypothetical situation that is posed by The Washington Post.
I'ANSON: Your boyfriend liked an Instagram model's bikini photos.
SAGAL: OK. Now, according to the social mores of today, that action now counts as what?
MARY ELIZABETH: Cheating.
SAGAL: Yes, cheating.
MARY ELIZABETH: Yes.
SAGAL: Exactly right.
(SOUNDBITE OF BELL)
SAGAL: Yes, cheating. Specifically, that sort of thing is now called microcheating, right? That's a thing now...
PAPA: Right.
SAGAL: ...You have to worry about. Micro cheating - liking a bikini model's pic or commenting on your ex's Instagram post. That is now - we are told - effectively cheating on your current partner, even if you didn't leave a comment that says, also, terrific sex yesterday in the motel next to your office.
(LAUGHTER)
PAPA: I've been married for 24 years, and I can say we have built up enough trust in our relationship that if my wife were to see that I put a little heart emoji on one of my ex's pages, my wife would kill me with an axe.
SAGAL: Yeah. That's great.
(LAUGHTER)
SAGAL: And that's - and that kind of knowledge, that sense that you know her so deeply...
PAPA: Yeah.
SAGAL: ...Only comes after 24 years of marriage.
PAPA: A hundred percent - we don't call it microcheating.
SAGAL: No, no, no.
PAPA: We call it divorce.
(LAUGHTER)
POUNDSTONE: The thing about micro cheating is you can have 10 incidents of microcheating, and it is one cheat.
SAGAL: That's it. That is the unit of exchange.
PAPA: Oh.
SAGAL: That's exactly right.
POUNDSTONE: So yeah.
BLOTNICK: Get one free...
POUNDSTONE: Yeah.
PAPA: Right.
BLOTNICK: ...Or is it...
POUNDSTONE: No, you don't - no, it just goes right - you carry it.
PAPA: All right.
POUNDSTONE: You carry it.
SAGAL: Yeah.
POUNDSTONE: Like...
(LAUGHTER)
POUNDSTONE: Ah. A lot of...
PAPA: So if you could stop at nine and then go to another ex, you can...
SAGAL: Yeah.
PAPA: ...You're still safe.
SAGAL: Yeah. And...
POUNDSTONE: I think so. A lot of really strong relationships actually have an abacus there in the kitchen.
(LAUGHTER)
PAPA: And the kids keep track.
POUNDSTONE: Yeah.
PAPA: (Laughter).
SAGAL: Chioke, how did Mary Elizabeth do in our quiz?
I'ANSON: With all three right, Mary Elizabeth is a macrowinner.
PAPA: Yeah.
SAGAL: There you are, Mary Elizabeth.
POUNDSTONE: There you go.
SAGAL: Congratulations.
PAPA: Yeah.
MARY ELIZABETH: Thank you.
(APPLAUSE)
SAGAL: Well done, and thank you so much for calling.
MARY ELIZABETH: Thanks so much.
SAGAL: Bye-bye.
(SOUNDBITE OF CARRIE UNDERWOOD SONG, "BEFORE HE CHEATS")
SAGAL: Right now, panel, it is time for you to answer some questions about this week's news. Paula, this week, we learned about a hot new place for young people to grab a bite or, you know, just hang out. Where is it?
POUNDSTONE: The school cafeteria.
SAGAL: No, not quite.
(LAUGHTER)
POUNDSTONE: Oh, something different than that?
SAGAL: Other end of the age range.
POUNDSTONE: Oh, nursing homes.
SAGAL: Pretty much. Senior centers...
(SOUNDBITE OF BELL)
SAGAL: ...Senior living centers.
POUNDSTONE: It's a good idea, actually.
SAGAL: According to an article in Fast Company that was written by your grandparents...
(LAUGHTER)
SAGAL: ...The coolest place to have lunch these days is in a senior living center. And by coolest, we mean literally. They've got the AC cranked up to freezing. They like it that way.
(LAUGHTER)
SAGAL: Senior living communities are adding cafes and restaurants open to the public to provide their residents the opportunity to mingle with the, quote, "everyday person." It's a great idea - right? - because if you've been to a senior home before, you know it is the best place to walk in, meet a stranger who will tell you the saddest story you have ever heard.
(LAUGHTER)
PAPA: So wait. So they're inviting young people to just hang out in the White House.
(LAUGHTER)
PAPA: It was lobbed in there.
SAGAL: I know.
PAPA: It was - I don't even believe it, Paula.
POUNDSTONE: Yeah.
PAPA: But it was lobbed in there.
(SOUNDBITE OF PETER BJORN AND JOHN SONG, "YOUNG FOLKS")
SAGAL: Coming up, our panelists get on the historic registry. It's our Bluff the Listener game. Call 1-888-WAIT-WAIT to play. We'll be back in a minute with more of WAIT WAIT... DON'T TELL ME from NPR.
(SOUNDBITE OF MUSIC)
I'ANSON: From NPR and WBEZ Chicago, this is WAIT WAIT... DON'T TELL ME, the NPR news quiz. I'm Chioke I'Ansen filling in for Bill Kurtis. We're playing this week with Paula Poundstone, Tom Papa and Emmy Blotnick. And here again is your host at the Studebaker Theater in Chicago, Ill., Peter Sagal.
SAGAL: Thank you, Chioke. Thank you, everybody.
(CHEERING)
SAGAL: Thanks, everybody.
(APPLAUSE)
SAGAL: I am excited, too, because it is time for the WAIT WAIT... DON'T TELL ME Bluff the Listener game. Call 1-888-WAIT-WAIT to play all of our games on the air. Hi, you are on WAIT WAIT... DON'T TELL ME.
STEPHANIE: Hi, this is Stephanie (ph) from Longmont, Colo.
SAGAL: Hey. Longmont, I know that. What do you do there?
STEPHANIE: I am a program manager at a medical device company.
SAGAL: Oh.
STEPHANIE: And I also manage a 15-year-old theater kid and three cats.
SAGAL: Wow. Which is more moody?
(LAUGHTER)
STEPHANIE: Well, I do have a very moody cat, so they compete for moodiest.
SAGAL: Right.
STEPHANIE: It's a tough call.
SAGAL: Which do you find more often sitting in their room and, like, listening to emo music?
(LAUGHTER)
STEPHANIE: Both of them, actually, but...
(LAUGHTER)
STEPHANIE: You know...
SAGAL: It'll happen. Well, welcome to the show, Stephanie. You're going to play the game in which you must try to tell truth from fiction. Chioke, what is Stephanie's topic?
I'ANSON: George Washington slept here.
SAGAL: What is the difference between an old, rundown shack and a historical landmark? Apparently, a famous person taking a nap there - this week, we found out about a new place that's probably going to get a plaque on the front door because of something that just happened. Our panelists are going to tell you about it. Pick the one who's telling the truth, and you will win the WAIT WAITer of your choice on your voicemail. Are you ready to play?
STEPHANIE: I'm ready.
SAGAL: OK, great. Your first story comes from Paula Poundstone.
POUNDSTONE: While reaching for a half a watermelon on the bed of ice on the large display in the center of the produce section at the Ledy Green Grocery (ph) in Stockholm, Sweden, Esbjorn Ekblad (ph) caught sight of a nose in the ice. He then recoiled in shock when Jane Fonda rose up from beneath the ice.
(LAUGHTER)
POUNDSTONE: Ice cubes were tumbling off of Jane Fonda, says Ekblad, and then I hear peals of laughter coming from behind a cardboard nut display, and Greta Thunberg steps out laughing like a hyena.
(LAUGHTER)
POUNDSTONE: Jane and I wanted to bring attention to alternatives to air conditioning, Thunberg explains. She's such a climate change warrior. She'll do anything, but maybe we hadn't thought it out quite enough. Fonda suffered frostbite on the skin surrounding her elbows and the shrinkage to her red woolen tam. We're reducing our air conditioning use, and customers tell me they really appreciated the effort, said Bankt Boriensen (ph), and our watermelon sales are the best they've ever been.
SAGAL: Jane Fonda found under the ice in a produce section in Norway. Your next claim to fame comes from Emmy Blotnick.
BLOTNICK: When you're out and about, it can be hard to find a public bathroom. Take it from superstar musician Elton John, who was out shopping for shoes in the French city of Nice with his teenage sons, when nature called. According to TMZ, after the shop owner told him there was no toilet available, Elton asked his bodyguard for an empty bottle. He stepped away from the other customers, and then he took out his Bennie and turned on the jets.
(LAUGHTER)
BLOTNICK: And what's crazier is the shop owner didn't recognize him. That might be the most shocking part of this story, a French man whose job is shoes not knowing Elton John.
(LAUGHTER)
BLOTNICK: When he asked him what he does for a living, Elton John said, I'm Elton John.
(LAUGHTER)
BLOTNICK: Again, this took place in Nice. If you want more details, just be aware that it will look like you Googled Elton John, shoe store, pee bottle, nice.
(LAUGHTER)
SAGAL: Elton John...
(APPLAUSE)
SAGAL: ...Not being nice in Nice. Your last story of a location legend comes from Tom Papa.
PAPA: Big Lou's Pizzeria (ph) had been a mainstay of Bayonne, N.J., since it opened in 1965. But it wasn't until Joe Pesci came in last week and ate 25 chicken parmesan sandwiches in one sitting that it became famous. Everyone was excited just to see him, said owner Big Lou Primo (ph). He came in and ordered a chicken parm sandwich and a Diet Coke. But then the guy next to him says, be careful. That's a big sandwich for such a little guy.
(LAUGHTER)
PAPA: Joe was really P-O'd (ph). His eyes got red, smoke poured out of his ears, and I swear, he stood at the counter and ate that sandwich in two bites. Then Joe turns to the guy and says, watch this, you big mouth. And he orders two more sandwiches. The irritated star of "My Cousin Vinny" proceeded to order sandwich after sandwich. A crowd started to form, and not just because there is nothing else to do in Bayonne.
(LAUGHTER)
PAPA: By the time he was done, Joe Pesci had eaten 25 chicken parms, ordered a cannoli for dessert and kicked the guy right in his profiteroles.
(LAUGHTER)
PAPA: And Big Lou's Pizzeria was on the map.
SAGAL: All right.
POUNDSTONE: That's all it takes.
(APPLAUSE)
SAGAL: Someday soon, there will be a place in the world with a plaque on it, marking an important occasion. Will it be, from Paula Poundstone, a grocery store in Norway that'll say, Jane Fonda was found under ice in our produce section? Will it be, from Emmy Blotnick, a shoe store in Nice with a sign saying, Elton John peed in a bottle inside here; or from Tom Papa, a pizzeria in Bayonne, with a sign saying Joe Pesci himself ate 25 chicken parm sandwiches on this date? Which of these is the real plaque that might be?
STEPHANIE: I'm going Elton John.
SAGAL: You can't miss with Elton John...
(APPLAUSE)
SAGAL: ...Seminal musician that he is. All right. Your choice then is Emmy's story of Elton John relieving himself in a bottle in a shoe store in Nice. Well, to bring you the correct answer, we spoke to someone who, in fact, reported on the real story.
DANIELLE CHELOSKY: The sneaker shop owner was upset, and he asked him what he did for a living. And Elton John said, I'm Elton John.
(LAUGHTER)
SAGAL: That was Danielle Chelosky, an editor and writer at Stereogum, reporting on Sir Elton's makeshift john.
(LAUGHTER)
SAGAL: So you got it right. Emmy was, in fact, telling the truth. She wins a point. You win our prize. Congratulations.
(APPLAUSE)
STEPHANIE: Awesome. Thank you so much.
SAGAL: Thank you for playing.
(SOUNDBITE OF SONG, "GOODBYE YELLOW BRICK ROAD")
ELTON JOHN: (Singing) So goodbye yellow brick road, where the dogs of society howl.
SAGAL: And now the game where we ask people about things they know nothing about. It's called Not My Job. If you're going to do a podcast with just you and two of your friends talking about stuff, you better be absolutely incredible at it, which is why "Vibe Check" was named one of the best podcasts by The New York Times. Think of it as the group chat you wish you were cool enough to be on. Two of "Vibe Check's" hosts, Zach Stafford and our old friend from NPR, Sam Sanders, join us now. Zach and Sam, welcome to WAIT WAIT... DON'T TELL ME.
SAM SANDERS: Thank you.
(CHEERING)
ZACH STAFFORD: This is such an honor.
(APPLAUSE)
SAGAL: It is a thrill to have you. Our coolness quotient is raised just by you joining us here on stage. Let me - I think, for people who have not been fortunate enough to hear it, we should describe "Vibe Check." But you guys did it yourself...
SANDERS: Yeah.
SAGAL: ...On - just in a recent podcast, where - and I have to change this for NPR standards. You might remember them, Sam.
SANDERS: I sure do.
SAGAL: You called it just the three of you pooping and chatting.
(LAUGHTER)
STAFFORD: Pooping and chatting - wow. Yeah.
(CROSSTALK)
SAGAL: Pooping and chatting.
SANDERS: Chatting.
STAFFORD: Pooping and chatting, yeah.
SANDERS: That's what we said last episode, yeah. That's how this show started. I think everyone experienced this during the pandemic, where you were at home a lot more, so a lot of your social interaction moved to your phone. And I was blessed enough to end up in some really fun group chats. But the group chat I was in - I'm still in with Zach and Saeed - it was just so great.
STAFFORD: And what I have to say is Sam is really the reason why the show came to life because I don't do things unless there's a check or a contract already.
SANDERS: (Laughter).
STAFFORD: And Sam was like, oh, we had so much fun on my show on NPR. People loved it. People did love it.
SANDERS: Yeah.
STAFFORD: And he was like, let's do a SoundCloud. And I was like, I'm not a rapper.
SANDERS: (Laughter).
STAFFORD: I'm not doing a SoundCloud demo. And he did it, and people just loved it, and it kind of took off from there. So...
SANDERS: Yeah.
SAGAL: I know this is a hard thing to describe about your own work, but everybody knows that the stereotypical podcast is just two or three people, usually guys, just talking to each other and thinking that the rest of the world will find them as interesting as they find themselves. Ninety-nine percent of the time, they are wrong.
(LAUGHTER)
SAGAL: You guys, as the results have shown, were right. So do you know what gives your show, "Vibe Check," like, that pass to be just as fascinating to everybody else as it is to the three of you?
SANDERS: I have thoughts, but I want to hear yours first.
STAFFORD: You want me first?
SANDERS: I want you first.
STAFFORD: Yeah, well, I think our show - we're really obsessed with failing in public, which is very masochistic, I think. But we realized, as journalists, that we were being trained to always be on and be perfect and say the right thing all the time and not talk about how we actually felt. And, you know, I have a long journalistic background, Sam does, and so does Saeed. So we were like, let's do a show where everyone knows we did our research. We did our homework. We report it but talk about it how other people talk about it with each other.
So that's what the show does - is we're having those conversations you're having, but with some more - you know, we've talked to, like, the White House maybe, or we've talked to some sources, and we're just talking about it in a really accessible way.
SAGAL: Right.
SANDERS: Yeah, yeah.
SAGAL: So you're catty but informed.
SANDERS: Yes.
STAFFORD: Exactly.
SANDERS: Well, and...
(LAUGHTER)
SANDERS: ...What I love about the show is that, like, it's pretty much a really big bait and switch. So when we launched the show, by virtue of the three of us being the three of us, all of the initial wave of press was like, here's this new show from a Black queer perspective.
STAFFORD: Yeah (laughter).
SANDERS: And you're like, the three of us don't agree on anything.
(LAUGHTER)
SANDERS: And, like, that's the beauty of it. So...
POUNDSTONE: But that's so like Black queers.
SANDERS: It is.
(LAUGHTER)
SANDERS: Let me tell you.
STAFFORD: Oh, my God.
SAGAL: Oh, yeah.
SANDERS: Let me tell you.
STAFFORD: Oh, my God. Pride just ended. Wow.
SAGAL: Oh, my God. All those...
SANDERS: But, like, I swear to you - and I love it because we get to argue it in a real way that feels, like, expansive with an A. Like, I tell Saeed and Zach that our disagreements are expansive.
SAGAL: You have guests on your podcast...
SANDERS: We do.
SAGAL: ...Very impressive ones.
SANDERS: Yeah.
SAGAL: Can you tell me who your favorite one has been?
STAFFORD: For me, it'd probably be our friend, Jenna Wortham. Jenna's a writer at The New York Times, the magazine, specifically. And she, one day, was tweeting or talking about nude beaches. And I was fascinated by this 'cause I have been to them, but I had never been nude on a nude beach. I was more voyeuristic, I guess.
SAGAL: Wait a minute. So you've been to nude beaches?
STAFFORD: Yes, I'm gay. Yes.
(LAUGHTER)
SANDERS: Wait. Whoa, whoa, whoa, whoa. I didn't know that was part of the test.
STAFFORD: Sam Sanders, have you been to a nude beach?
SANDERS: Whatever.
(LAUGHTER)
SAGAL: Did - they didn't tell you that at the initiation?
SANDERS: That was not at the initiation.
SAGAL: That was not part of the onboarding process?
SANDERS: No, no.
SAGAL: Oh, and by the way, sir, you will have to go to nude beaches.
SANDERS: Yeah, yeah.
SAGAL: So wait a minute. But getting back to you, Zach, you've been to a nude beach, but you have not been nude.
STAFFORD: No.
SAGAL: So you're just a guy who, like, wanders on in a business suit and just wanders around, hands in pockets...
STAFFORD: This suit...
SAGAL: ...Looking around.
STAFFORD: Yes. This suit...
SAGAL: That suit...
STAFFORD: ...Actually, yes.
SAGAL: ...The suit you are wearing now.
STAFFORD: No. I was wearing - I wore a bathing suit when I went...
SAGAL: Right.
STAFFORD: ...Before. So I wanted to interview Jenna Wortham on her time, finally, also getting nude on a nude beach in Mexico. And so the day before we did the interview, my partner was like, isn't it ridiculous that you're talking to someone about a nude beach and you've never been naked on one? So then he made me drive to San Diego - be naked - to do the show.
POUNDSTONE: And you were in New York at the time?
STAFFORD: I was in LA.
(LAUGHTER)
STAFFORD: And so I did it. And so I got to come out as a - I guess, a temporary nudist on our show. And me and Jenna Wortham had the most amazing conversation about water. And it's a very Pisces conversation, but it was very much about the healing power of being naked and gender and identity.
SANDERS: They called it blue spaces.
STAFFORD: Blue spaces.
SANDERS: It was so smooth.
SAGAL: Wow.
SANDERS: It was so smooth.
STAFFORD: Yeah, it was nice. I get paid to do that, too. That's wild, yeah.
SANDERS: (Laughter).
SAGAL: And Sam, I think our audience will know your background, at least part of it, because...
SANDERS: Sure.
SAGAL: ...You were, of course, with NPR for many years.
SANDERS: I was.
SAGAL: I know. And the only...
SANDERS: The greatest 13 years. They still are (ph).
SAGAL: I mean, you know how they say, like, somebody who's been in prison - you know, what's the first thing you're going to eat when you get outside? So the first time you got in front of a microphone...
SANDERS: Oh, I cursed.
SAGAL: ...Not owned by NPR...
SANDERS: I cursed like a sailor.
(LAUGHTER)
SANDERS: I cursed like a sailor. I probably say [expletive] the most on the microphone.
STAFFORD: Yes. You curse a lot, actually.
SAGAL: Yeah. I did listen.
STAFFORD: Yeah.
SAGAL: I did not...
STAFFORD: Yeah.
SAGAL: ...Know that side of you.
STAFFORD: Yeah.
SAGAL: Remarkable.
SANDERS: It is free-flowing.
STAFFORD: My mother listens. So I think of that every day I go into the studio. So...
(LAUGHTER)
SANDERS: I think my Aunt Betty stopped listening.
STAFFORD: Yeah.
SANDERS: It's funny. She started - so my Aunt Betty was a big staple in my last show, and she's a booster. And I remember the first few weeks the show was out, she'd say, I'm listening. I'm listening. And then as weeks went on, she'd just be like, how you doing?
(LAUGHTER)
SAGAL: Well, Sam and Zach, it is great talking to you, and we have invited you here to play a game we're calling...
I'ANSON: "Vibe Check," meet Libe (ph) Check.
STAFFORD: Wow.
SANDERS: Wow.
SAGAL: Wow. You guys are vibrarians (ph).
SANDERS: I'm keeping that.
(LAUGHTER)
SAGAL: We just made that up...
SANDERS: I'm keeping that - vibrarians.
SAGAL: ...Just so we could ask you what you knew about librarians. We're going to ask you three questions about the things librarians have to deal with every day. Get two out of three right, and you'll win our prize for one of our listeners. Chioke, who are Sam and Zach playing for?
I'ANSON: Grant Wiens (ph) of Chicago, Ill.
SAGAL: Chicago, Ill. All right.
(CHEERING)
STAFFORD: Hi, Grant.
SANDERS: What's up, Grant?
(APPLAUSE)
SAGAL: All right. As I'm sure - all right. Ready to do this?
SANDERS: Yes.
SAGAL: All right. As you probably could easily imagine, a common complaint among librarians is people damaging books while they are checked out. One librarian had a book returned to the library with bite marks, water damage and covered in crayon. What was the name of the book? A, "Keeping Your Collectibles In Mint Condition"...
POUNDSTONE: (Laughter).
SAGAL: ...B, "Destroy This Book," or C, "What To Expect: The Toddler Years"?
(LAUGHTER)
SANDERS: I know what I want it to be. Well...
STAFFORD: What do you want it to be? I want it to be C, too.
SANDERS: Yeah.
STAFFORD: Let's go with C.
SANDERS: Let's go with C.
SAGAL: That's the correct answer, yeah.
(SOUNDBITE OF BELL)
STAFFORD: Yay.
(APPLAUSE)
SANDERS: Teamwork dreamwork.
STAFFORD: Look at that.
SANDERS: I love it.
STAFFORD: Our brains.
SANDERS: Teamwork dreamwork.
(APPLAUSE)
SAGAL: A completely destroyed library book is pretty much what you'd expect in the toddler years. So there you are. All right, next question. Damaged books aren't the only way to upset a librarian as in which of these very real cases? A, a patron who made the joke, Dewey Decimal - well, I sure don't...
(LAUGHTER)
SAGAL: ...Every day for six months; B, a man walked into the library and requested a book about taxidermy, while holding a, quote, "recently dead skunk"...
SANDERS: Oh, that happened. That happened.
STAFFORD: For real (ph).
SAGAL: ...Or C, a woman who pushed in a double stroller with two crying children asked the librarian, can you keep an eye on them? - and immediately left to go to a yoga class?
(LAUGHTER)
STAFFORD: Oh, my gosh.
SANDERS: It's between B and C. But I want to believe B 'cause as soon as you said, a man, I was like, he did it.
SAGAL: Yeah.
STAFFORD: Yeah.
(LAUGHTER)
SAGAL: He did it.
STAFFORD: The inflection was very...
SANDERS: I mean...
STAFFORD: Yeah.
SAGAL: Pretty much as soon as anything terrible happens, just look for the nearest man.
SANDERS: There you go.
STAFFORD: Yes.
SAGAL: That'll be it.
STAFFORD: Are we right?
SAGAL: Are you going to go with B, officially? Yes, that's exactly what happened.
STAFFORD: Hey.
SANDERS: See?
(SOUNDBITE OF BELL)
SANDERS: Man, am I right?
(APPLAUSE)
STAFFORD: God bless feminism, yeah.
(LAUGHTER).
SAGAL: Last question - even celebrities have run-ins with librarians, like which of these famous people? A, Kid Rock, who angrily returned a book to a Michigan library, complaining when he swiped his finger across the page, nothing happened...
(LAUGHTER)
SAGAL: ...P - B, I should say - B, pilot Sully Sullenberger, who had to call his local library when the book he had borrowed sunk into the Hudson River with his plane after his famous crash landing...
SANDERS: He would do that.
SAGAL: ...Or C...
SANDERS: He would do that.
SAGAL: ...Or C, Tom Cruise, who asked the Beverly Hills library for a book exactly 8 inches thick 'cause he needed to reach a particular shelf?
(LAUGHTER)
STAFFORD: There are so many...
SANDERS: Wait. Tell me what A is again.
SAGAL: A was Kid Rock...
STAFFORD: Kid Rock.
SAGAL: ...Who returned a book...
SANDERS: OK.
SAGAL: ...'Cause nothing happened...
SANDERS: All right.
SAGAL: ...When he swiped his fingers.
SANDERS: Here's my thing. I want to believe B, but what do you feel?
STAFFORD: Let's do different ones. You do B. I do A.
SANDERS: Can we do that?
SAGAL: You're going to say B. So Zach says A, and Sam says B, and the award goes to Sam.
(SOUNDBITE OF BELL)
SAGAL: His logic was impeccable.
(APPLAUSE)
SAGAL: Sully Sullenberger did, after his famous emergency landing on the Hudson where he saved all those people - he did have to go to the librarian and say, I'm sorry. The book I borrowed is now at the bottom of the Hudson. And they said, Captain Sullenberger, it's OK.
(LAUGHTER)
SANDERS: He's just the best. He's just the best.
SAGAL: He really is.
SANDERS: A good man.
STAFFORD: Yes.
SAGAL: Chioke, how did Sam Sanders and Zach Stafford do in our quiz?
I'ANSON: I mean, if we're just going off vibes...
SANDERS: (Singing) Hey.
STAFFORD: Yes.
SAGAL: Pretty much, that's their style. Why not?
I'ANSON: ...They got them all right.
STAFFORD: Yeah.
SAGAL: You got them all right, man.
(LAUGHTER)
SAGAL: The vibes - a vibe of success.
SANDERS: The vibes are on.
SAGAL: Zach...
SANDERS: Oh, my God.
(APPLAUSE)
SAGAL: ...Stafford - Zach Stafford and Sam Sanders are two of the hosts of the podcast "Vibe Check," which is available wherever you get your podcasts. Give it a listen. Join the group chat. Zach Stafford, Sam Sanders, what a pleasure to have you with us.
SANDERS: This was an honor.
STAFFORD: Thank you.
SAGAL: What a great...
(CHEERING)
SANDERS: Thank you, Peter.
(CROSSTALK)
SANDERS: Thank y'all so much.
SAGAL: Give it up for them.
STAFFORD: This was so fun. Thank you.
POUNDSTONE: You did great. Thank you very much.
STAFFORD: Thank you, Paula.
(SOUNDBITE OF SONG, "VIBEZ")
ZAYN: (Singing) Don't keep me waiting. I've been waiting all night to get closer. You know the vibes - know the vibes - put it on you.
SAGAL: In just a minute, Chioke will blow your mind with his crazy animal facts in our Listener Limerick Challenge. Call 1-888-WAIT-WAIT to join us on the air. We'll be back in a minute with more of WAIT WAIT... DON'T TELL ME from NPR.
(SOUNDBITE OF MUSIC)
I'ANSON: From NPR and WBEZ Chicago, this is WAIT WAIT... DON'T TELL ME, the NPR news quiz. I'm Chioke I'Anson, filling in for Bill Kurtis. We're playing this week with Paula Poundstone, Emmy Blotnick and Tom Papa. And here again is your host at the Studebaker Theater in Chicago, Ill., Peter Sagal.
SAGAL: Thank you, Chioke. Thanks so much.
(APPLAUSE)
SAGAL: In just a minute, Chioke sings "Rhyme Around The Rosie" in our Listener Limerick Challenge. If you'd like to play, give us a call at 1-888-WAIT-WAIT. That's 1-888-924-8924.
Right now, panel, though, some more questions for you from the week's news. Paula, the San Diego Zoo welcomed two new giant pandas from China this week. That's the first pair of giant pandas to arrive in the U.S. in 20 years. They will not be on view to the public, though, for several weeks because they first have to do what?
POUNDSTONE: Fill out forms.
(LAUGHTER)
SAGAL: That's what you'd expect.
POUNDSTONE: Yeah.
SAGAL: No. I will give you a hint. A lot of people do this when they move to the U.S. from a foreign country. They...
POUNDSTONE: They have to unpack.
SAGAL: Yeah, well...
(LAUGHTER)
SAGAL: ...Obviously.
POUNDSTONE: Do this when they....
SAGAL: ...When they move to the U.S. from a foreign country.
POUNDSTONE: They have to learn the language.
SAGAL: Yes, that's exactly right. They have to...
(SOUNDBITE OF BELL)
POUNDSTONE: Oh, they have to learn English?
PAPA: Wow.
SAGAL: They have - the pandas have to learn English.
POUNDSTONE: Is it - are they in, like, a total immersion class?
(LAUGHTER)
SAGAL: I guess if you go to a zoo where the zookeepers are talking to you all day in English, that is a kind of total immersion.
POUNDSTONE: Yeah.
SAGAL: But, yeah, they are in a quarantine period of several weeks. And they're acclimating to the U.S., and that includes learning English so the zookeepers can talk to them because they - like dogs, they listen. They know certain words and can respond. It's...
POUNDSTONE: Yeah.
SAGAL: But it's - so the pandas are learning English. It is so adorable when they use their giant paws to work Duolingo.
POUNDSTONE: Yeah.
(LAUGHTER)
POUNDSTONE: And when they - you know, there is nothing cuter than seeing a panda conjugate.
(LAUGHTER)
SAGAL: I'm only going to say - I mean, as you know, they're very endangered, and if they just would conjugate more, we wouldn't have that problem.
(LAUGHTER)
SAGAL: In addition, as you probably know, giant pandas eat only bamboo.
POUNDSTONE: Of course, I know.
SAGAL: Of course.
POUNDSTONE: Like I never had a panda at my house.
(LAUGHTER)
SAGAL: Oh, is that what happened to them?
POUNDSTONE: Like I never had a progressive panda dinner party. Come on.
(LAUGHTER)
POUNDSTONE: We go to the first panda's house, and we have bamboo. And then you go to the second panda's house, and there's bamboo. Yeah.
(LAUGHTER)
POUNDSTONE: It's all they eat, is bamboo. Of course...
SAGAL: It's true.
POUNDSTONE: ...I know. You know, you talk to me sometimes, Peter, like I'm an idiot.
(LAUGHTER)
SAGAL: Well, since you know that pandas only eat bamboo, you'll know that one of the things they have to do is they get - have to get used to American bamboo, specifically the only kind we serve in America - flaming hot bamboo.
(LAUGHTER)
POUNDSTONE: Oh, it's totally different here...
SAGAL: Yeah.
POUNDSTONE: ...The bamboo...
SAGAL: Yeah.
POUNDSTONE: ...Than, you know, the bamboo of yore.
SAGAL: Yeah.
(LAUGHTER)
SAGAL: Tom, an Ohio lawyer was, this week, reinstated to the bar after he was suspended simply for doing what in a Pringles can?
PAPA: I mean, I know the answer. I'm just trying to think of a way to say it on NPR.
POUNDSTONE: Yeah.
(LAUGHTER)
PAPA: [Expletive] in it?
SAGAL: Yeah. That's...
(SOUNDBITE OF BELL)
SAGAL: You got it in one.
(APPLAUSE)
SAGAL: So, yes, after...
POUNDSTONE: Wow.
BLOTNICK: Do all the turds...
SAGAL: ...Getting suspended for pooping in a Pringles can...
(LAUGHTER)
SAGAL: ...This lawyer was reinstated after only six months. Still, Rudy Giuliani has fallen so far.
(LAUGHTER)
POUNDSTONE: To eating Pringles.
SAGAL: Yeah.
PAPA: (Laughter).
POUNDSTONE: I'm not a Pringles fan.
PAPA: I love Pringles.
POUNDSTONE: Oh, my gosh. No, they're terrible, and it's too much packaging.
PAPA: Oh.
POUNDSTONE: And they're just not good. There's nothing - you know, I'm a Ruffles person. But there's nothing remotely potato-ish (ph) about what's in a Pringles can...
PAPA: No, but it...
POUNDSTONE: ...Especially now.
(LAUGHTER)
SAGAL: Anyway...
PAPA: Yeah.
SAGAL: You're all thinking, OK - what? - you poop in a Pringles can once - right? - and you don't get to be a lawyer anymore.
POUNDSTONE: Yeah.
SAGAL: Well...
PAPA: Wow.
SAGAL: This guy did it 10 times...
PAPA: Whoa.
SAGAL: ...In one year.
POUNDSTONE: Wow. All right.
PAPA: Whoa.
POUNDSTONE: So that's...
PAPA: Wow.
POUNDSTONE: What, was one time micro?
SAGAL: Yeah.
(LAUGHTER)
BLOTNICK: Well, in his defense, the turds did all fit into a perfect stack...
SAGAL: That's true.
BLOTNICK: ...On top of each other.
(LAUGHTER)
SAGAL: Yeah.
PAPA: And if you do it once, you're like, I can't believe - I can't do that again.
SAGAL: Yeah.
(LAUGHTER)
PAPA: The aim...
SAGAL: Bet you can't poop just one.
(SOUNDBITE OF SONG, "BREAKING THE LAW")
JUDAS PRIEST: (Singing) Breaking the law, breaking the law. Breaking the law, breaking the law. Breaking the law, breaking the law. Breaking the law, breaking the law.
SAGAL: Coming up, it's Lightning Fill In The Blank. But first, it's the game where you have to listen for the rhyme. If you'd like to play on air, call or leave a message at 1-888-WAIT-WAIT. That's 1-888-924-8924.
You can catch us here most weeks at the beautiful Studebaker Theater in Chicago, or come see us on the road. We'll be in Minneapolis on August 29 and 30. And the WAIT WAIT Stand-Up Tour, it's back on sale now with shows in Fort Lauderdale, Tampa, Orlando and Atlanta from September 5 through the 8. For tickets and information, just go over to nprpresents.org. And you can follow us on Instagram @waitwaitnpr. Come on. We dare you.
(LAUGHTER)
SAGAL: Hi, you're on WAIT WAIT... DON'T TELL ME!
JORDAN: Hi, this is Jordan (ph).
SAGAL: Hey, Jordan. How are you?
JORDAN: Great, thanks. How are you?
SAGAL: I'm well, thank you. Where are you calling from?
JORDAN: I currently live in New York City.
SAGAL: New York City.
POUNDSTONE: Heard of it.
(LAUGHTER)
SAGAL: So what do you do there?
JORDAN: I started a graduate program.
SAGAL: Oh, great - in something useful and profitable, I hope.
JORDAN: Oh, absolutely - playwriting.
SAGAL: Oh, yeah, terrific.
(LAUGHTER)
SAGAL: Well, you are headed for untold wealth.
(LAUGHTER)
SAGAL: Well, welcome to the show, Jordan. Now you are going to play our Listener Limerick Challenge. That means that Chioke I'Anson, filling in for Bill Kurtis, is going to read you three news-related limericks with the last word or phrase missing from each. If you can fill in that last word or phrase correctly in two of the limericks, you will be a winner. Are you ready to go?
JORDAN: Yes.
SAGAL: All right. Let's begin. Here's your first limerick.
I'ANSON: When downtowns are deserted and struggle, entertainers can help ease those troubles. They are flashy and loud, but they draw a big crowd. Get performers who sing, dance and...
JORDAN: Juggle.
SAGAL: Juggle, yes.
(SOUNDBITE OF BELL)
SAGAL: According to The Wall Street Journal...
(APPLAUSE)
SAGAL: ...Some cities are now hiring buskers, jugglers and mimes to, quote, "make empty office districts feel safer and less depressing," unquote, 'cause there's nothing that makes me feel safer than a guy lighting three machetes on fire and saying, want to see something cool?
(LAUGHTER)
SAGAL: All right.
PAPA: It's so weird that they say the economy's doing well, when you have these big, major cities with nobody working and now people just juggling there.
SAGAL: Yeah.
(LAUGHTER)
SAGAL: Well, they're being paid to juggle. So they're - the jobs are back, I guess. That's a job.
PAPA: Oh, that's how economics works.
(LAUGHTER)
SAGAL: I love circus acts, but they should stay at the circus. Like, downtown Baltimore used to be sketchy, but now they have all these clowns who stare at you.
(LAUGHTER)
SAGAL: All right, Jordan, here is your next limerick.
I'ANSON: That purplish wet cloud in the sky is a hippo that went zooming by. It weighs more than a ton, so when it starts to run, a big hippo will take off and...
JORDAN: Fly.
SAGAL: Fly. Yes, Jordan.
(SOUNDBITE OF BELL)
SAGAL: A new study...
(APPLAUSE)
SAGAL: ...From the U.K.'s Royal Veterinary School (ph) says hippos can fly, briefly.
POUNDSTONE: (Laughter).
SAGAL: While running at high speed, hippos are able to lift their bodies off the ground and fly for 0.3 seconds. And before you say, well, that's not very long, ask yourself, when's the last time you picked up a Chevy Blazer and held it in the air for 0.3 seconds?
(LAUGHTER)
SAGAL: See?
PAPA: I don't know a lot about a lot of things.
POUNDSTONE: Let's just leave it at that.
PAPA: But I think that's jumping.
(LAUGHTER)
SAGAL: Well, that's one way of looking at it, if you have no sense of romance and wonder.
(LAUGHTER)
SAGAL: OK, Jordan, here is your last limerick.
I'ANSON: The reentry of metal's no good 'cause it makes much more waste than it should. When spacecrafts return, they should have a clean burn. So our satellite's made out of...
JORDAN: Wood.
SAGAL: Yes, wood.
(SOUNDBITE OF BELL)
SAGAL: After years of experiments, a Japanese engineer has, he says, perfected the first wooden satellite, which he hopes to launch later this year. It's part of Kyoto Universitiy's what-other-crap-can-we-put-in-space initiative.
(LAUGHTER)
SAGAL: See, here's the thing - and we've reported on this before; we're excited to see it come to fruition - when normal metal satellites reenter Earth's orbit, they burn up. A lot of toxic stuff enters the atmosphere. The hope is when the wooden satellite bursts into flames, all it will release is a cozy cabincore vibe.
(LAUGHTER)
POUNDSTONE: Nice.
SAGAL: It's also true that satellites made of wood are far safer against alien attacks than this engineer's first idea - satellites made of straw.
(LAUGHTER)
POUNDSTONE: Yeah. He's got to take that next step.
SAGAL: He really does. You think he should go all the way?
POUNDSTONE: Yeah.
SAGAL: Yeah.
POUNDSTONE: Brick.
SAGAL: Yep.
POUNDSTONE: Brick satellites.
(LAUGHTER)
POUNDSTONE: That's not going to work good in an earthquake, though.
SAGAL: I don't think they have - just - I'm not a scientist. I don't...
POUNDSTONE: No. Cut it out. Cut it out.
(LAUGHTER)
SAGAL: But I did want to make a point that I don't think they have earthquakes in space.
POUNDSTONE: They do. There's - OK, they're not earthquakes 'cause they're not on Earth, obviously, but spacequakes - what? - are you kidding me?
(LAUGHTER)
BLOTNICK: It's an excellent strain of sativa - spacequakes.
PAPA: Yes.
(LAUGHTER)
PAPA: I thought it was a cereal.
SAGAL: Chioke, how did Jordan do in our quiz?
I'ANSON: When Jordan wins that Tony for being a playwright...
SAGAL: Yes.
I'ANSON: ...We'll say we knew them from winning the Listener Limerick Challenge.
SAGAL: There you go.
POUNDSTONE: Nice.
PAPA: Nice.
(APPLAUSE)
SAGAL: Congratulations, Jordan.
JORDAN: Thank you.
SAGAL: All right. We'll look for you Off-Off-Broadway.
POUNDSTONE: Yeah, bye, Jordan.
JORDAN: Perfect. Bye.
SAGAL: Bye-bye.
(SOUNDBITE OF THE METERS'S "FUNKY MIRACLE")
SAGAL: Now in our final game, Lightning Fill In The Blank, each of our players will have 60 seconds in which to answer as many Fill In The Blank questions as they can. Each correct answer now worth two points. Chioke, can you give us the scores as they stand?
I'ANSON: Tom and Paula have two. Emmy has four.
SAGAL: OK.
POUNDSTONE: Wait a minute.
PAPA: Whoa. Wait a minute.
BLOTNICK: Yeah, pop open that can of pringles. How about that?
(LAUGHTER)
PAPA: Wow.
POUNDSTONE: All right.
SAGAL: All right. But that means that Tom and Paula are tied. I'm going to arbitrarily choose you, Tom, to go first. Here we go.
PAPA: OK, Peter.
SAGAL: The clock will start when I begin your first question. Fill in the blank. During his opening speech at the NATO summit. President Biden promised new air defense for blank.
PAPA: Ukraine.
SAGAL: Yes.
(SOUNDBITE OF BELL)
SAGAL: On Monday, the Kansas Supreme Court reaffirmed the state's constitutional right to blank.
PAPA: To abortion.
SAGAL: Right.
(SOUNDBITE OF BELL)
SAGAL: This week, millions of people in Texas were left without power after hurricane blank hit that state.
PAPA: Boyle (ph). Beryl.
SAGAL: Beryl. Right.
(SOUNDBITE OF BELL)
SAGAL: This week, a man in Hong Kong was detained by customs after he tried to hide 100 blanks in his blanks.
PAPA: Bullets.
SAGAL: No, 100 snakes in his pants. On Wednesday, comedian and former talk show host blank announced she was retiring from show business.
PAPA: Ellen DeGeneres.
SAGAL: Right. On Thursday...
(SOUNDBITE OF BELL)
SAGAL: ...An emergency was declared in Colorado after a blank outbreak at an egg factory.
PAPA: Plague.
SAGAL: No, bird flu. This week, a first-time flyer in China...
(SOUNDBITE OF GOING)
SAGAL: ...Caused a commotion when she got up from her seat to use the bathroom and blanked.
PAPA: And opened the exit door.
SAGAL: Yes, she opened the emergency exit door.
(SOUNDBITE OF BELL)
SAGAL: Very good. She mistook the emergency exit for the bathroom, opened the door and launched the inflatable slide. Fortunately for everybody involved, the plane was still sitting there on the tarmac, so no one was injured.
(LAUGHTER)
SAGAL: The slide did have to be replaced because, of course, she then went ahead and peed on it.
(LAUGHTER)
PAPA: That wasn't my best performance.
SAGAL: Well, let's find out. Chioke, how did Tom Papa do in our quiz?
I'ANSON: Tom got five right for 10 more points. That's a total of 12. Tom now has the lead.
SAGAL: All right, Paula, you are up next. Fill in the blank. On Sunday, a leftist alliance won the most votes during snap elections in Blank.
POUNDSTONE: Paris.
SAGAL: In France, yes. This week...
(SOUNDBITE OF BELL)
SAGAL: ...NASA said it has no plans to use a SpaceX rocket to rescue astronauts stuck on the Blank.
POUNDSTONE: Well, they're on the space station, but they went up on the Starliner.
SAGAL: That's right. On Tuesday...
(SOUNDBITE OF BELL)
SAGAL: ...Health officials in Colorado confirmed a human case of blank.
POUNDSTONE: Bird flu.
SAGAL: No, the plague.
(LAUGHTER)
POUNDSTONE: Wow.
PAPA: I knew it.
(APPLAUSE)
PAPA: I knew there was plague in Colorado.
POUNDSTONE: Wow.
PAPA: Everyone laughed at me.
POUNDSTONE: Yeah.
(LAUGHTER)
SAGAL: This week, a Chicago Cubs player was put on the injury list because he broke his hand blanking.
POUNDSTONE: High-fiving.
SAGAL: No, punching the wall of the dugout in anger. On Thursday, BMW announced they were recalling almost half a million vehicles with faulty blanks.
POUNDSTONE: W's.
SAGAL: No.
(LAUGHTER)
SAGAL: Oh, that would be funny. Oh, is that your new BMM?
(LAUGHTER)
SAGAL: No, airbags. Known for her roles...
POUNDSTONE: Oh, God.
(LAUGHTER)
SAGAL: Known for her roles, among many others, in "The Shining" and "Nashville," blank passed away this week at the age of 75.
POUNDSTONE: Shelley Duvall.
SAGAL: Right.
(SOUNDBITE OF BELL)
SAGAL: This week, diners in Australia were upset after a couple walked in...
(SOUNDBITE OF GONG)
SAGAL: ...And put their blank on the table.
POUNDSTONE: And put their blank on the table?
SAGAL: Yes.
POUNDSTONE: Some people dining in Australia. Well, they put their koala on the table, which is gross.
(LAUGHTER)
SAGAL: You're so close. They put their dog on the table.
POUNDSTONE: Oh.
SAGAL: They did. Yes. Not only did they walk into the restaurant and put their dog on the table amidst all the food, but it was one of those communal table restaurants.
POUNDSTONE: Oh, well, that's different.
SAGAL: So not only did the other customers have an animal sitting there right next to their meals, but they had to make conversation with it.
POUNDSTONE: Wow. Yeah. It would have been worse if it was at Benihana.
(LAUGHTER)
SAGAL: Chioke, how did Paula do on our quiz?
POUNDSTONE: I don't think we should even find out.
(LAUGHTER)
I'ANSON: Paula got three right for...
POUNDSTONE: Whoa.
I'ANSON: ...Six more points.
POUNDSTONE: OK.
I'ANSON: That's a total of eight.
POUNDSTONE: Yeah.
I'ANSON: Tom is still in the lead.
POUNDSTONE: Well, that doesn't seem right.
SAGAL: All right then, how many does Emmy need to win?
I'ANSON: Emmy needs four to tie and five to win.
SAGAL: All right, Emmy.
PAPA: If you need any help. If you need any help.
(LAUGHTER)
SAGAL: Yeah. On Monday, Donald Trump tried to distance himself from the Heritage Foundation's Project Blank.
BLOTNICK: 2025.
SAGAL: Right.
(SOUNDBITE OF BELL)
SAGAL: This week, the involuntary manslaughter trial of actor blank began in New Mexico.
BLOTNICK: Alec Baldwin.
SAGAL: Right. For the first time...
(SOUNDBITE OF BELL)
SAGAL: ...Since the start of the pandemic, U.S. blank prices fell.
BLOTNICK: Milk.
SAGAL: No, Well, yes, I'll give it to you. Consumer prices.
(SOUNDBITE OF BELL)
SAGAL: This week, a cyclist in the Tour de France was fined after he blanked during the race.
BLOTNICK: Did drugs?
SAGAL: Stopped for a second to give his wife a kiss. After just three weeks in theaters, "Inside Out 2" has become Blank's highest-grossing movie ever.
BLOTNICK: Pixar's.
SAGAL: Right. On Thursday...
(SOUNDBITE OF BELL)
SAGAL: Apple warned users in 100 countries about new spyware attacks targeting the Blank.
BLOTNICK: iPhone?
SAGAL: Right. This week...
(SOUNDBITE OF BELL)
SAGAL: A tourist being attacked on the streets of San Francisco by someone described...
(SOUNDBITE OF GONG)
SAGAL: ...As a crazy pirate guy with a blow torch was saved by blank.
BLOTNICK: A DJ?
SAGAL: No, by two nudists.
(LAUGHTER)
SAGAL: According to onlookers, the nude samaritans knocked the assailant over, causing him to flee the scene. They were hailed as heroes, but when the story was covered by the local news, one of the nudists declined to comment. And this is true because he, quote, "values his privacy."
(LAUGHTER)
SAGAL: Still, one thing you have to say for these two men, they were ballsy.
(LAUGHTER)
SAGAL: Chioke, did Emmy Blotnick do well enough to win?
I'ANSON: Oh, my goodness. Emmy got five right for 10 more points. So with a...
POUNDSTONE: There it is.
I'ANSON: ...Total of 14 points, Emmy is the winner.
(APPLAUSE)
POUNDSTONE: Good job.
SAGAL: Congratulations.
BLOTNICK: Wow.
SAGAL: Yay, Emmy.
BLOTNICK: It's huge.
SAGAL: It is big. It's the biggest thing...
BLOTNICK: It's a big deal to me.
PAPA: That was big.
SAGAL: It's the biggest thing that's happened today. In just a minute, we'll ask our panelists to predict after his big op-ed about Biden in The New York Times, what will actor George Clooney weigh in on next.
WAIT WAIT... DON'T TELL ME is a production of NPR and WBEZ Chicago. In association with Urgent Haircut Production is Doug Berman, benevolent overlord. Philipp Goedicke writes our limericks. Our public address announcer is Paul Friedman. Our tour manager is Shayna Donald. Thanks to the staff and crew at the Studebaker Theater. B.J. Leiderman composed our theme. Our program is produced by Jennifer Mills, Miles Doornbos and Lillian King. Special thanks this week to Monica Hickey and Shantira Jackson. Our employee of the month is Peter Gwinn. Emma Choi is our vibe curator. Technical direction is from Lorna White. Technical thanks this week to Gary Yak. Our CFO is Colin Miller. Our production manager, that's Robert Neuhaus. Our senior producer is Ian Chillag. And the executive producer of WAIT WAIT... DON'T TELL ME is Mike Danforth.
Now, panel, what will actor and bon vivant George Clooney weigh in on next? Emmy Blotnick.
BLOTNICK: I hope he screws the wheels back on aircraft at Boeing.
(LAUGHTER)
SAGAL: Tom Papa.
PAPA: He's going to weigh in on all the things Simone Biles is doing wrong on the beam.
(LAUGHTER)
SAGAL: And Paula Poundstone.
POUNDSTONE: Well, if he wants to make himself actually useful, he could push Trump out.
(LAUGHTER)
I'ANSON: And if any of that happens, panel, we'll ask you about it on WAIT WAIT... DON'T TELL ME.
SAGAL: Thank you, Chioke I'Anson. You're doing such a great job filling in for Bill. Thanks also to Tom Papa, Emmy Blotnick, Paula Poundstone. Thanks to our fabulous audience here at our home at the Studebaker Theater in downtown Chicago. Thanks to all of you out there in the wider world for listening. I'm Peter Sagal. We'll all see you next week.
This is NPR.
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Developing strong, pragmatic and principled national security and defense policies.
|
en
|
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|
https://www.cnas.org/press
|
In The News
NATO Is Helping Ukraine to Fight—but Not to Win
It’s an approach that stands in stark contrast to the administration’s handling of the Israel-Hamas war, for which senior administration officials have outlined a dubious but ...
By Andrea Kendall-Taylor
In The News
How Can Europe Reduce Its Military Dependency on the United States?
“European armies are too small to handle even the arms that they’ve got now,” said Jim Townsend, a former U.S. assistant secretary of defense now at the Center for a New Ameri...
By Jim Townsend
In The News
Times Radio
July 11, 2024
Putin on the brink as Ukraine membership ‘irreversible’ | Jim Townsend
“This is irreversible. This means it’s going to happen. Nato isn’t going to step back, it’s not going backwards on its commitment to Ukraine.” Live at the NATO Summit, Times R...
By Jim Townsend
In The News
Biden administration disturbed by Modi-Putin visit during NATO summit
This week, Russian officials and state media appeared to revel in Modi’s visit. Dmitry Peskov, the Kremlin spokesman, said Western governments were “jealous — that is why they...
By Lisa Curtis
In The News
NATO leaders move to ‘Trump-proof’ the alliance in Washington
Fears that the former president could soon be back in the White House have NATO leaders looking to lock in support for Ukraine — and the alliance itself....
By Andrea Kendall-Taylor
Press Release
CNAS Partners with NATO Public Forum at Historic 75th NATO Summit
Washington, July 10, 2024 — Today, the Center for a New American Security (CNAS) kicks off the NATO Public Forum, which takes place alongside the historic 75th NATO Summit, as...
In The News
Modi’s Embrace of Putin Irks Biden Team Pushing Support for Kyiv
US prosecutors are also investigating an alleged murder-for-hire plot on American soil that they say involved senior Indian officials. India has said it’s probing the matter. ...
By Lisa Curtis
In The News
NATO summit becomes high-stakes test of Biden’s fitness
President Biden’s fitness for office will be put to the test this week during the NATO summit he is hosting in Washington, a high-stakes endurance test that gives the presiden...
By Jim Townsend
Press Note
CNAS Responds: 2024 NATO Summit in Washington
This week, the North Atlantic Treaty Organization (NATO) will meet in Washington, D.C. to make key decisions on strengthening its defense amid heightened security stakes. Alon...
By Richard Fontaine, Andrea Kendall-Taylor, Jim Townsend, Peter Schroeder, Katherine L. Kuzminski & Nicholas Lokker
Press Release
New CNAS Report Explores How U.S.-China Competition Upended the International Economic Order and What the United States Can Do to Fix It
Washington, June 26, 2024 — Today, the Center for a New American Security (CNAS) released a new report, Disorderly Conduct: How U.S.-China Competition Upended the Internationa...
In The News
US defence industry faces uncertainty despite production ‘boomlet’
"It is not quite a bonanza" for missiles and munitions "but it is, for the first time in a long time, a significant uptick in this area that has been sustained", said Stacie P...
By Stacie Pettyjohn
In The News
War with Hezbollah ‘lies in Israel’s hands’
It’s unclear whether Hezbollah would agree to any peace deal with Israel. But Netanyahu doesn’t want to pull out of Gaza: He seemingly rejected the cease-fire proposal that’s ...
By Jonathan Lord
In The News
US Needs Longer-Range Drones for Potential China-Taiwan Conflict: Think Tank
Stacie Pettyjohn, CNAS defense director and one of the authors of the report, has expressed doubts about the potential war being a fair fight. She said China has more drones t...
By Stacie Pettyjohn
In The News
Deal or no deal: What Trump 2.0 could mean for our nuclear submarines
Many other analysts are significantly more optimistic about the prospects for AUKUS under Trump. “There are grounds to worry about what Trump might do if he were back in offic...
By Richard Fontaine
In The News
Biden-Trump debate: Where they stand on Indo-Pacific and Quad
"The Quad is here to stay," Lisa Curtis, former National Security Council seniordirector for South and Central Asia under Trump, told Nikkei Asia. "It will remain an important...
By Lisa Curtis
In The News
Putin Shows He Can Antagonize the U.S. Far Afield From Ukraine
Andrea Kendall-Taylor, a senior fellow at the Center for a New American Security, said there was now an increased risk of an unintended escalation, where one side takes an act...
By Andrea Kendall-Taylor
Press Release
New CNAS Report Assesses the Role of Drones in A Future Fight to Defend Taiwan
Washington, June 20, 2024 – Today, the Center for a New American Security (CNAS) released a new report, Swarms over the Strait: Drone Warfare in a Future Fight to Defend Taiwa...
In The News
How underwater drones could shape a potential Taiwan-China conflict
A potential future conflict between Taiwan and China would be shaped by novel methods of drone warfare involving advanced underwater drones and increased levels of autonomy, a...
By Stacie Pettyjohn, Hannah Dennis & Molly Campbell
In The News
Should women be drafted? Congress weighs the question yet again
Kate Kuzminski, director of the Center for New American Security’s program on Military, Veterans & Society said various members of Congress has attempted to add women to t...
By Katherine L. Kuzminski
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5407
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2
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Earth, Planets and Space
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SpringerOpen
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https://earth-planets-space.springeropen.com/highlighted-papers
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Citation Impact 2023
Journal Impact Factor: 3.0
5-year Journal Impact Factor: 2.9
Source Normalized Impact per Paper (SNIP): 1.452
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Speed 2023
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5407
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https://www.npr.org/transcripts/g-s1-5710%3Fft%3Dnprml%26amp%3Bf%3Dg-s1-5710
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'Wait Wait' for June 22, 2024: With Not My Job guest Erik Weihenmayer
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2024-06-22T12:00:41-04:00
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This week, Wait Wait is live in Chicago with special guest Erik Weihenmayer and panelists Negin Farsad, Maz Jobrani, and Adam Felber
|
en
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NPR
|
https://www.npr.org/2024/06/22/g-s1-5710/wait-wait-for-june-22-2024-with-not-my-job-guest-erik-weihenmayer
|
This week's show was recorded in Chicago with host Peter Sagal, judge and scorekeeper Bill Kurtis, Not My Job guest Erik Weihenmayer and panelists Negin Farsad, Maz Jobrani, and Adam Felber. Click the audio link above to hear the whole show.
Who's Bill This Time
Surgeon General’s Newest Warning; Summer Smarts; Going Stag
The Olympic Torch Reporch
A true/false round up of stories about this summer’s Olympic Games in Paris
Bluff The Listener
Our panelists tell three stories of famous dads in the news, only one of which is true.
Not My Job: We quiz mountaineer and adventurer Erik Weihenmayer on social climbers
Adventurer and mountain climber Erik Weihenmayer plays our game called, “Mountain Climber, Meet Social Climber.” Three questions about social climbers.
Panel Questions
College Senior Citizens; Hey, Siri, Don’t Be A Narc!; Namaste Off My Lawn!
Limericks
Bill Kurtis reads three news-related limericks: Recharge Your Broken Heart; Names For Sale; Schnozz Training
Lightning Fill In The Blank
All the news we couldn't fit anywhere else
Predictions
Our panelists predict what will be the next thing to get a Surgeon General's warning?
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5407
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dbpedia
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https://www.amazon.com.au/Nieuw-Babylon-aanbouw-Nederland-zestig/dp/9089539514
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Nieuw Babylon in aanbouw: Nederland in de jaren zestig - Kennedy, James, Kennedy-Doornbos, Simone
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Nieuw Babylon in aanbouw: Nederland in de jaren zestig [Kennedy, James, Kennedy-Doornbos, Simone] on Amazon.com.au. *FREE* shipping on eligible orders. Nieuw Babylon in aanbouw: Nederland in de jaren zestig
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en
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https://www.amazon.com.au/Nieuw-Babylon-aanbouw-Nederland-zestig/dp/9089539514
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Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet or computer—no Kindle device required.
Read instantly on your browser with Kindle for Web.
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Pi Beta Phi Foundation 2022-2023 Impact Report
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[] |
[] |
[
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] | null |
[] |
2023-10-30T00:00:00+00:00
|
Through our work to ensure Pi Beta Phi’s future, Pi Beta Phi Foundation is committed to making sure Pi Phi remains a constant in the lives of our s...
|
en
|
/favicon.ico
|
Issuu
|
https://issuu.com/pibetaphi/docs/pi_beta_phi_foundation_2022-2023_impact_report
|
Through our work to ensure Pi Beta Phi’s future, Pi Beta Phi Foundation is committed to making sure Pi Phi remains a constant in the lives of our sisters; a source of steadiness and a place of belonging through challenges and celebrations. We’re able to do so because your support is our constant. Whether you’re a monthly donor, a member of the Evelyn Peters Kyle Society or made your first gift this year, Pi Phi’s future is already shining brighter because of you. The power of your support is reflected in the perseverance of the Pi Phis who receive Foundation scholarships, the inspiration of the learners who discover a love of reading, the spirit of the chapter and alumnae club officers who realize their capacity to lead and the gratitude of the sisters who receive emergency assistance grants. We’re honored to share some of their stories within our 2022-2023 Impact Report.
|
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5407
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dbpedia
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3
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https://www.armyemergencyrelief.org/2023-donors/
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Army Emergency Relief
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[] |
2024-04-11T15:18:08+00:00
|
en
|
Army Emergency Relief
|
https://www.armyemergencyrelief.org/2023-donors/
|
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Allen Vandeborne
Allen Versyn
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https://commons.wikimedia.org/wiki/Category:Simone_Kennedy-Doornbos
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en
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Category:Simone Kennedy
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https://commons.wikimedia.org/wiki/Category:Simone_Kennedy-Doornbos
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Position held
municipal councillor of Amersfoort
member of the Senate of the Netherlands (2023–2023)
|
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https://fairlawnmemorialcemetery.com/scheduled-funerals/
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en
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Updates for Upcoming Services
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2023-09-28T20:02:17+00:00
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Fair Lawn Memorial Cemetery & Mausoleum provides up-to-date funeral schedules. We're also reachable at 201-796-1485 for any queries.
|
en
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Fair Lawn Memorial Cemetery
|
https://fairlawnmemorialcemetery.com/scheduled-funerals/
|
Office Hours
Monday – Friday • 9:00 AM to 3:00 PM
Gates & Mausoleum
Open Daily • 8:00 AM to 5:00 PM
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https://www.wikidata.org/wiki/Q11252987
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en
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Simone Kennedy-Doornbos
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Dutch politician, tour operator and translator
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https://dokumen.pub/a-tiny-spot-on-the-earth-the-political-culture-of-the-netherlands-in-the-nineteenth-and-twentieth-centuries-9789048524150.html
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A Tiny Spot on the Earth: The Political Culture of the Netherlands in the Nineteenth and Twentieth Centuries 9789048524150
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Survey of the Dutch political culture of the nineteenth and twentieth centuries,...
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dokumen.pub
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https://dokumen.pub/a-tiny-spot-on-the-earth-the-political-culture-of-the-netherlands-in-the-nineteenth-and-twentieth-centuries-9789048524150.html
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Table of contents :
Table of Contents
Introduction
1. Long Live the Republic!
2. A New Society is Being Created Here
3. Everything is a Motley
4. Following the American Example
5. Justice and Love
6. The Nation is Divided into Parties
7. Fundamental Changes in Mentality
8. That’s Not Politics!
9. A Tiny Spot
Acknowledgements
Notes
Bibliography
Index of persons
Citation preview
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dbpedia
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https://www.ask-oracle.com/birth-chart/anje-doornbos/
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en
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Anje Doornbos Age, Birthday, Zodiac Sign and Birth Chart
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2010-06-25T09:37:49+00:00
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Astrology details of Anje Doornbos such as age, birthday, zodiac sign, and natal chart. Analyze their birth chart and kundli to understand their personality and cause of death through astrology.
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en
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Ask Oracle
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https://www.ask-oracle.com/birth-chart/anje-doornbos/
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Zodiac Sign (Western)
Pisces
Sunsign, Tropical Zodiac
Zodiac Sign (Vedic)
Gemini
Moonsign, Sidereal Zodiac
Age (Today)
122 years, 4 months, 29 days
Your next birthday is 213 days away.
Birthday
Monday, March 17, 1902
Place of Birth
Unknown
Time Zone -
Chinese Zodiac Sign
Tiger (虎)
Birth Number
8
Life Path Number
5
Name Number (Chaldean)
49 => 4
Name Number (Pythagorean)
6
Meaning of the name - Anje
grace, favor
Read Full Anje Name Analysis
March 17, 1902 Facts
Generation Group
Anje Doornbos belongs to the GI Generation group.
Place of Birth:
Place of Death:
Cause of Death:
Educated At:
Occupation:
Spouses:
Children:
Employers:
Awards Received:
Astrology Analysis
Western Astrology Chart
North Indian Kundli
Ephemeris for March 17, 1902
Note: Moon position is location and time sensitive.
Planet Position (Tropical, Western) Transits on March 17, 2024 Secondary Progressions for March 17, 2024 Sun 26 Pisces 10 27 Pisces 35 24 Cancer 8 Moon 6 Cancer 29 3 Cancer 56 21 Sagittarius 4 Mercury 28 Aquarius 31 13 Aries 42 3 Cancer 47 Venus 19 Aquarius 26 7 Pisces 11 20 Gemini 25 Mars 28 Pisces 50 25 Aquarius 53 27 Gemini 57 Jupiter 8 Aquarius 8 14 Taurus 23 14 Aquarius 20 Saturn 26 Capricorn 11 11 Pisces 53 25 Capricorn 3 Uranus 21 Sagittarius 12 20 Taurus 11 17 Sagittarius 52 Neptune 28 Gemini 41 27 Pisces 22 2 Cancer 4 Pluto 16 Gemini 44 1 Aquarius 36 19 Gemini 1 Rahu 6 Scorpio 29 16 Aries 48 0 Scorpio 1 Ketu 6 Taurus 29 16 Libra 48 0 Taurus 1
More For Pisces
Free Horoscopes
Love Compatibility
Personality Traits
Pisces Man
Pisces Woman
Chandra Kundali (Equal House, North Indian Diamond Chart)
Astrology Transits Analysis for Year 2024
Note: Multiple transits occurring in close proximity often signify a major event in a person's life.
Anje Doornbos's 2024 Transits to Natal Planets
Mars square Sun
Exact: 01 January, 2024
Jupiter conjunction Ketu
Exact: 31 January, 2024
Jupiter opposition Rahu
Exact: 31 January, 2024
Saturn sextile Ketu
Exact: 10 February, 2024
Mars conjunction Mercury
Exact: 21 March, 2024
Mars conjunction Mars
Exact: 30 April, 2024
Mars square Moon
Exact: 10 May, 2024
Mars aspects Rahu
Exact: 10 May, 2024
Jupiter trine Saturn
Exact: 10 May, 2024
Mars conjunction Ketu
Exact: 19 June, 2024
Mars opposition Rahu
Exact: 19 June, 2024
Jupiter trine Jupiter
Exact: 09 July, 2024
Mars conjunction Moon
Exact: 17 September, 2024
Jupiter trine Venus
Exact: 17 September, 2024
Mars opposition Saturn
Exact: 27 October, 2024
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https://www.stuckinabook.com/old-books-rare-friends-by-leona/
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en
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Old Books, Rare Friends by Leona Rostenberg & Madeleine Stern
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http://www.stuckinabook.com/wp-content/uploads/2015/02/Old-Books-Rare-Friends.jpg
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http://www.stuckinabook.com/wp-content/uploads/2015/02/Old-Books-Rare-Friends.jpg
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2015-02-19T22:29:00+00:00
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You know what it’s like with book reviews on Stuck-in-a-Book – they’re like buses; you wait a month for one, and then three come along at once. (If you’ve ever waited a mont…
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en
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Stuck in a Book
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https://www.stuckinabook.com/old-books-rare-friends-by-leona/
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You know what it’s like with book reviews on Stuck-in-a-Book – they’re like buses; you wait a month for one, and then three come along at once. (If you’ve ever waited a month for a bus, then – please – just give up and get a taxi.) In the weekend last year where I coincidentally read a bunch of books I bought in America, one of them had the enticing title Old Books, Rare Friends: Two Literary Sleuths and Their Shared Passion (1997) by Leona Rostenberg and Madeleine Stern. (Who first told me about this? Was it YOU?)
I’m not the sort of man to walk away from a book about loving books, particularly one penned by older women, and so I was excited to read this. But it was quite a while ago, so I’m going to review this one in bullet points… let’s call it an experiment.
Leona and Madeleine take it in turns to narrate chapters, starting with their childhoods (perhaps unsurprisingly) and through the schooling and college education.
The main point of interest here is that one of them was refused her doctorate, mostly because her supervisor disagreed with her argument. (That is NOT acceptable supervising.)
I could never really tell Leona and Madeleine apart from their writing styles, so their lives intertwined for me.
They set up a rare books business together, buying and selling, and this is where my interest was piqued.
They make catalogues! I could read about the preparation of catalogues forever.
They’re only interested in very old books, so my love of 20th-century literature was never really satisfied. But, oh well.
And they discovered sensation magazine stories that Louisa M. Alcott had written under a pseudonym – which led to a minor sort of literary fame for them.
I really enjoyed it! Reading about the books business, particularly in a time before the internet made book hunting both easier and less filled with surprises is always fun.
Here is my caveat (for which I have slipped out of bullet points). I love reading about readers; about people who hunt for books because they are desperate to read them. Rostenberg and Stern hunt for books for a living, and so (naturally enough) are concerned more with profit than anything else. Still, I couldn’t help weary a little at the number of times they said how much they’d paid for something and how much they’d sold it for – particularly on the occasions when that effectively meant diddling a seller out of money, because the seller had sold a book for less than it was worth. Which made it rather a surprise to come across this paragraph in the epilogue:
We have become keen observers of the generations who have succeeded us. Every age is critical of the next, and we are no exceptions. Although we admire and befriend many young dealers who do not confuse value with price, we deplore the all too popular conception entertained by many dealers that books are to be regarded primarily as investments. Such booksellers go in for dollarship, not scholarship.
I wonder how they think they differ from this? Perhaps as bibliophiles, albeit bibliophiles who get money from their love, rather than simply gratification.
But, this quibble aside, I found it fascinating and fun. It’s not up there with Phantoms on the Bookshelves or Howards End is on the Landing – the works of true booklovers, and lovers of 20th-century fiction into the bargain – and it’s not quite the book that I thought it would be, but Old Books, Rare Friends will still retain its place on my books-about-books bookshelf.
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https://www.cnas.org/press/p2
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Press
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Developing strong, pragmatic and principled national security and defense policies.
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https://www.cnas.org/press
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In The News
NATO Is Helping Ukraine to Fight—but Not to Win
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By Andrea Kendall-Taylor
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How Can Europe Reduce Its Military Dependency on the United States?
“European armies are too small to handle even the arms that they’ve got now,” said Jim Townsend, a former U.S. assistant secretary of defense now at the Center for a New Ameri...
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Times Radio
July 11, 2024
Putin on the brink as Ukraine membership ‘irreversible’ | Jim Townsend
“This is irreversible. This means it’s going to happen. Nato isn’t going to step back, it’s not going backwards on its commitment to Ukraine.” Live at the NATO Summit, Times R...
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In The News
Biden administration disturbed by Modi-Putin visit during NATO summit
This week, Russian officials and state media appeared to revel in Modi’s visit. Dmitry Peskov, the Kremlin spokesman, said Western governments were “jealous — that is why they...
By Lisa Curtis
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NATO leaders move to ‘Trump-proof’ the alliance in Washington
Fears that the former president could soon be back in the White House have NATO leaders looking to lock in support for Ukraine — and the alliance itself....
By Andrea Kendall-Taylor
Press Release
CNAS Partners with NATO Public Forum at Historic 75th NATO Summit
Washington, July 10, 2024 — Today, the Center for a New American Security (CNAS) kicks off the NATO Public Forum, which takes place alongside the historic 75th NATO Summit, as...
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Modi’s Embrace of Putin Irks Biden Team Pushing Support for Kyiv
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President Biden’s fitness for office will be put to the test this week during the NATO summit he is hosting in Washington, a high-stakes endurance test that gives the presiden...
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CNAS Responds: 2024 NATO Summit in Washington
This week, the North Atlantic Treaty Organization (NATO) will meet in Washington, D.C. to make key decisions on strengthening its defense amid heightened security stakes. Alon...
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New CNAS Report Explores How U.S.-China Competition Upended the International Economic Order and What the United States Can Do to Fix It
Washington, June 26, 2024 — Today, the Center for a New American Security (CNAS) released a new report, Disorderly Conduct: How U.S.-China Competition Upended the Internationa...
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US defence industry faces uncertainty despite production ‘boomlet’
"It is not quite a bonanza" for missiles and munitions "but it is, for the first time in a long time, a significant uptick in this area that has been sustained", said Stacie P...
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It’s unclear whether Hezbollah would agree to any peace deal with Israel. But Netanyahu doesn’t want to pull out of Gaza: He seemingly rejected the cease-fire proposal that’s ...
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US Needs Longer-Range Drones for Potential China-Taiwan Conflict: Think Tank
Stacie Pettyjohn, CNAS defense director and one of the authors of the report, has expressed doubts about the potential war being a fair fight. She said China has more drones t...
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Andrea Kendall-Taylor, a senior fellow at the Center for a New American Security, said there was now an increased risk of an unintended escalation, where one side takes an act...
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Press Release
New CNAS Report Assesses the Role of Drones in A Future Fight to Defend Taiwan
Washington, June 20, 2024 – Today, the Center for a New American Security (CNAS) released a new report, Swarms over the Strait: Drone Warfare in a Future Fight to Defend Taiwa...
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How underwater drones could shape a potential Taiwan-China conflict
A potential future conflict between Taiwan and China would be shaped by novel methods of drone warfare involving advanced underwater drones and increased levels of autonomy, a...
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Kate Kuzminski, director of the Center for New American Security’s program on Military, Veterans & Society said various members of Congress has attempted to add women to t...
By Katherine L. Kuzminski
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dbpedia
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https://commons.wikimedia.org/wiki/Category:Simone_Kennedy-Doornbos
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Category:Simone Kennedy
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https://commons.wikimedia.org/wiki/Category:Simone_Kennedy-Doornbos
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Position held
municipal councillor of Amersfoort
member of the Senate of the Netherlands (2023–2023)
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Simone Kennedy-Doornbos Email & Phone Number
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To contact Simone Kennedy-Doornbos send an email to kennedydoornbos@gmail.com, s.kennedy-doornbos@raad-amersfoort.nl or s.kennedydoornbos@amersfoort.nl. If you want to call Simone Kennedy-Doornbos try calling on +31.334611652.
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https://contactout.com/Simone-Kennedy-Doornbos-20370585
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What is Simone Kennedy-Doornbos email address?
Email Simone Kennedy-Doornbos at [email protected], [email protected] and [email protected]. This email is the most updated Simone Kennedy-Doornbos's email found in 2024.
How to contact Simone Kennedy-Doornbos?
To contact Simone Kennedy-Doornbos send an email to [email protected], [email protected] or [email protected]. If you want to call Simone Kennedy-Doornbos try calling on +31.334611652.
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Simone Kennedy Doornbos
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2017-08-18T08:30:48+00:00
|
S.J. (Simone) KennedyDoornbos (born 19 December 1970 in Kampen) is a Dutch politician of the ChristianUnion (ChristenUnie). She is also a tour operator and former translator. KennedyDoornbos has been a member of the municipal council of Amersfoort since April 2006, succeeding Hans van Daalen who h
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/favicon.ico
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Alchetron.com
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https://alchetron.com/Simone-Kennedy-Doornbos
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Local political activities
Kennedy-Doornbos has been a member of the municipal council of Amersfoort since April 2006, succeeding Hans van Daalen who had become an alderman. In January 2011 she succeeded Menno Tigelaar as ChristianUnion fraction leader, who had also been chosen as an alderman. She focuses on matters of finance, economics, culture, mass media, tourism and the Bergkwartier, Leusderkwartier, Liendert and Rustenburg quarters.
In the past she was list puller for the Reformed Political League (Gereformeerd Politiek Verbond) in the municipal election of 1994 of the city of Amsterdam.
National political activities
She has been a member of the trustee of the ChristianUnion think tank since 2004 and was participating in the ChristianUnion election manifesto committee for the general election of 2006 and the general election of 2010. In May 2011 she was a high-ranked candidate for the Senate election, but just missed a seat.
Other activities
Kennedy-Doornbos studied biology at the University of Amsterdam. From 1994 to 2003 she lived in the United States, where she worked at an American travel agency called Eurotrail and as a translator at the A. C. Van Raalte Institute of Hope College. Since her return to the Netherlands she is working on a freelance basis for Eurotrail.
Personal life
She is married to American historian James Kennedy, a Dutch history professor at the University of Amsterdam, and like her husband belongs to the Reformed Churches in the Netherlands (Liberated).
Awards
Dutch councillor of the year 2009
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Developing strong, pragmatic and principled national security and defense policies.
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https://www.cnas.org/press
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In The News
America’s Middle East Defense Rests on Aircraft Carriers
With the United States and Israel expecting a military response any minute now from Iran or its proxies for the recent deaths of Hamas’s political leader and Hezbollah’s secon...
By Becca Wasser
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New CNAS Report on AI and Biological National Security Risks
Washington, August 13, 2024 — Today, the Center for a New American Security (CNAS) released a new report, AI and the Evolution of Biological National Security Risks: Capabilit...
In The News
As Ukraine Pushes Deeper Into Russia, Moscow Sends Reinforcements
Military analysts said the attack across the border had involved elements of at least four brigades in a rare example of successful maneuver operations involving support from ...
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Washington, August 6, 2024 — Today, the Center for a New American Security (CNAS) released a new report, Over the Brink: Escalation Management in a Protracted War, by Andrew M...
Press Release
August 5, 2024
CNAS Welcomes Gary Corn and Andrew Moore as Adjunct Senior Fellows
Washington, August 5, 2024 — The Center for a New American Security (CNAS) is pleased to welcome Gary Corn and Andrew Moore as adjunct senior fellows. Gary Corn is the direct...
In The News
Israel scored major intelligence wins in daring assassinations of Iranian proxy leaders
Jonathan Lord, formerly a political military analyst at the Pentagon, said the operation to kill Shukr was likely informed by combat intelligence. Israel found where he was at...
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In The News
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A new Congressionally mandated Pentagon study of military suicide rates broken down by career field offers a rare look at comparative risk factors facing service members, but ...
By Katherine L. Kuzminski
Press Release
CNAS Shawn Brimley Next Generation National Security Leaders Fellowship is Now Accepting Applications for the 2025 Class
The Center for a New American Security (CNAS) is now accepting applications for the 2025 class of the Shawn Brimley Next Generation National Security Leaders Fellowship. Each ...
In The News
Hezbollah chief signals ‘new phase’ of war with Israel. What happens next is unclear
Jonathan Lord, a regional expert with the Center for a New American Security, said that while Nasrallah’s denial of Hezbollah’s role in the Majdal Shams attack is “not credibl...
By Jonathan Lord
In The News
High-Profile Assassinations Push Iran and Israel to the Brink of War
Israel has refused to comment on any involvement in Haniyeh’s death, but Netanyahu gave a defiant speech at the IDF’s headquarters in Tel Aviv on Wednesday, saying Israel had ...
By Jonathan Lord
In The News
Pentagon Data Shows High Suicide Rates Among Troops Exposed to Blasts
Risk factors other than blast exposure may be contributing to higher suicide rates, said Katherine Kuzminski, an expert on the military and veterans at The Center for a New Am...
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In The News
‘Axis of upheaval’ adds urgency to review of UK defence spending
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In The News
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JONATHAN LORD, director of the Middle East Security program at the Center for a New American Security, said that however Israel responds, “we’ll have to wait and see” what Hez...
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F-16 fighter jets arrive in Ukraine but may not tip advantage against Russia
Some analysts are even more skeptical than Zelensky. Becca Wasser, an analyst at the Center for a New American Security, said the F-16s might be most potent as a psychological...
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In The News
The Kamala Harris Doctrine
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In The News
Cambodian naval base could accommodate Chinese submarines: analyst
A new dry dock that could be used to service Chinese submarines has been added to Ream naval base in southern Cambodia, a U.S. military analyst said. The construction of a new...
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Latest Cuts at Military Times Accelerates Decline of News Source to Airmen, Guardians
Katherine Kuzminski, Deputy Director of Studies and the Director of the Military, Veterans, and Society Program at the Center for a New American Security, a Washington, D.C.-b...
By Katherine L. Kuzminski
In The News
Lost Decade — how the US fell behind in checking China
Precious little unites the clashing sides of American politics. But as they square off in the upcoming U.S. election, likely candidates Joe Biden and ex-president Donald Trump...
By Richard Fontaine
Press Release
CNAS Announces First Make Room Mentorship Program Cohort
Learn More...
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Nieuw Babylon in aanbouw: Nederland in de jaren zestig [Kennedy, James, Kennedy-Doornbos, Simone] on Amazon.com.au. *FREE* shipping on eligible orders. Nieuw Babylon in aanbouw: Nederland in de jaren zestig
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en
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https://www.amazon.com.au/Nieuw-Babylon-aanbouw-Nederland-zestig/dp/9089539514
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Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet or computer—no Kindle device required.
Read instantly on your browser with Kindle for Web.
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5407
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dbpedia
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2
| 14
|
https://www.armyemergencyrelief.org/2023-donors/
|
en
|
Army Emergency Relief
|
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2024-04-11T15:18:08+00:00
|
en
|
Army Emergency Relief
|
https://www.armyemergencyrelief.org/2023-donors/
|
A L Jackson
A Zasimowicz
Aacyndia Scott
Aaden Maynard
Aalijah Horward
Aaliyah Eley
AAneudy Cotto
Aarieon Johnson
Aaron A Baugh
Aaron Adams
Aaron Amos
Aaron Ayers
Aaron Bailey
Aaron Banuelos
Aaron Barakat
Aaron Bibb
Aaron Bishop
Aaron Black
Aaron Bolster
Aaron Brown
Aaron Campanella
Aaron Chaparro
Aaron Chatham
Aaron Clinger
Aaron Corona
Aaron Crawford
Aaron D Duval
Aaron D Isaacs
Aaron D, Sullivan
Aaron Danforth
Aaron Davis
Aaron Demming
Aaron Dixon
Aaron Dotson
Aaron Dufrere
Aaron Durham
Aaron E Anderson
AAron Eves
Aaron F Garel
Aaron Fountain
Aaron Fox
Aaron Frederick
Aaron G Dorough
Aaron G Williamson
Aaron Gilbert
Aaron Glacier
Aaron Goodman
Aaron Harvey
Aaron Henderson
AAron Hicks
Aaron Honeysucker
Aaron J Lybarger
Aaron K Miller
Aaron Kauhn
Aaron Kelly
Aaron Kent
Aaron Kim
Aaron King
Aaron Klawitter
Aaron L Bien
Aaron L Keisler
Aaron L Richardson
Aaron Lawniczak
Aaron Lechner
Aaron Licklider
Aaron Lumley
Aaron Lykling
Aaron Mallory
Aaron Marshall
Aaron McfaddenChandler
Aaron McWhorter
Aaron Montiel
Aaron Morgan
Aaron Morris
Aaron Mullally
Aaron Myers
Aaron Nervis
Aaron Newcombe
Aaron Nguyen
Aaron Nowlin
Aaron O Jarvis
Aaron P Dunworth
Aaron Page
Aaron Palomares
Aaron Patterson
Aaron Patwell
Aaron Perry
Aaron Pettyjohn
Aaron Pitney
Aaron Pool
Aaron Riley
Aaron Rogers
Aaron Rose
Aaron RubioSoto
Aaron S. Vaughn
Aaron Salazar Nalvarte
Aaron Sanchez Barbeitia
Aaron Sharp
Aaron Shiffiett
Aaron Shishidofowler
Aaron Simonsen
Aaron Smith
Aaron Somvong
Aaron Southard
Aaron Stephens
Aaron Suchousky
Aaron Surber
Aaron Swift
Aaron Tatum
Aaron Thompson
Aaron Trent Johnson
Aaron Valencia
Aaron Vaughn
Aaron Vazquez
Aaron Vera
Aaron Walker
Aaron Warner
Aaron Westbrook
Aaron Wildermuth
Aaron Williams
Aaron Wisner
Aaron Wolfe
Aaron Wood
Aaron Wright
Aaron Zachary
Aaron Zuniga
Aaronis Spann
Abbie-Jo Johnson
Abbigail Stephens
Abby Myers
Abby Pennington
Abbygayle McNamee
Abdelkader Hosni
Abdiel Quinones
Abdoul Ouedraogo
Abdul Kadir Keskin
Abdul raheem Brown
Abdul Suleman
Abdurrahman M Harper
Abel A Benavidez
Abel Ambriz
Abel Castro
Abel Chapman
Abel e. Haro
Abel K Marquez
Abel Urtiz
Abelardo Capelo
Abelardo F Rodriguez
Abi Wiggins
Abid Islas
Abigail Aguilor
Abigail Alasmedina
Abigail Del Rosario
Abigail Heddleston
Abigail Munoz
Abigail Spence
Abigail Strain
Abigail Tomkovich
Abigailn Neff
Abigayle and Liz Groover
Abilgail Krawczak
Abimael Hernandez
Abiodun Ibrahim
Abner Alvarado
AbolefKoyoume Moustapha
Abraham Adams
Abraham B McDonald
Abraham Bailey
Abraham Curry
Abraham Dickey
Abraham Johnson
Abraham Melendez
Abraham Merino
Abraham Perez
Abraham Sandoval
Abraham W Wade
Abram Hernandezmarmolejo
Abram Sample
Abrin L Rougeau
Abu Konneh
Abycab Ayele
Acacia Boyd
Ace L Correll
Achim Biller
Acleni Edmond
Ada Lujan
Adalbert E Toepel
Adalberto Oterorivera
Adalberto Ramirez
Adam Aldrich
Adam Aurelia
Adam Barnes
Adam C Kapolka
Adam C Schoenwald
Adam Call
Adam Camara
Adam Cappel
Adam Cheney
Adam Christie
Adam Collins
Adam Cornwell
Adam Cowan
Adam Cronkhite
Adam DeGroot
Adam Dombrowski
Adam Duhon
Adam Eads
Adam Elliott
Adam Emery
Adam Farnsley
Adam Farrish
Adam Fein
Adam Fischer
Adam Forrester
Adam Foster
Adam Frias
Adam Garrett
Adam Geiger
Adam Gillett
Adam Goff
Adam Goldstein
Adam Gomez
Adam Grenz
Adam Grines
Adam Gutierrez
Adam H Hill
Adam Hagey
Adam Hamilton
Adam Hardy
Adam Harper
Adam Harris
Adam Hedge
Adam Hennigan
Adam Herrington
Adam Higgins
Adam Hinson
Adam Hogenson
Adam J Reich
Adam Kasperski
Adam Kawaguchi
Adam Keh
Adam Kier
Adam Knox
Adam Kunkle
Adam Latham
Adam Lauth
Adam Lichtenauer
Adam Likness
Adam Lopez
Adam MacAllister
Adam Martin
Adam Mc Ginnis
Adam McMurray
Adam Melkamu
Adam Miller
Adam Mortensen
Adam Mya
Adam Nicaise
Adam Oldham
Adam Oreilly
Adam P Beaumont
Adam Parsons
Adam Perkins
Adam Peters
Adam Petrone
Adam Pilarski
Adam Polhemus
Adam Prince
Adam Rieger
Adam Romero
Adam Sanches
Adam Schoffstall
Adam Sherwood
Adam Sirois
Adam Smith
Adam Stevens
Adam Sullivan
Adam Trammell
Adam Vettel
Adam Webb
Adam Weese
Adam Wood
Adam Woytowich
Adan Hernandez
Adan Vidal
Adarian Hunt
Add T. McMillan
Addae Donovan
Addison C Ehrlich
Addison D Davis
Addison Espinoza
Addison Favela
Addison Hurt
Addison Newman
Addison Wright
Addley Saimbert
Addyson Phenix
Ade Mason
Adela Martinez
Adelina Reynoso
Adeline Dicaire
Aden Freeman
Adeniran Dairo
Adetomiwa Salako
Adhana McCarthy
Adia Simons
Adin Benson
Adolf Rossi
Adolfo A Cruz
Adolfo Cruz
Adolfo D. Torrejon
Adolph W Massa
Adonijah Este
Adonis Graham
Adonis Oldenburg
Adonis Payer
Adria A Hernandez
Adrian Ahrens
Adrian Angulo
Adrian Atmosfera
Adrian Barajas
Adrian Bredell
Adrian Bruce
Adrian Camacho
Adrian Casson
Adrian Curry
Adrian Dorn
Adrian Epps
Adrian Estrada
Adrian Flores
Adrian Garcia
Adrian Gomez
Adrian Gonzales
Adrian Gonzalez
Adrian GonzalezBarrios
Adrian Guerrero
Adrian Hernandez
Adrian Jex
Adrian Manygoats
Adrian Martinez
Adrian Mendoza
Adrian Minor
Adrian Montana
Adrian Monter
Adrian Najera
Adrian Nakayama
Adrian Nevius
Adrian Olivarez
Adrian Parker
Adrian Portugal
Adrian R Daum
Adrian Rodriguez
Adrian Rosas
Adrian Salanas
Adrian Santellanes
Adrian Tapia
Adrian Toohill
Adrian Tyree Dillard
Adrian Van Keuren
Adrian Williams
Adrian Williamson
Adriana Aldape
Adriana Aleman
Adriana castro
Adriana Chavez
Adriana Colon
Adriana Pittman
Adriana Sifuentes
Adriana Talia Moore
Adriel Vargas
Adrien Charles
Adrien Holbrook
Adrienne Bass
Adrienne Hudson
Adrienne Taylor
Adrienne Williams
Adrienne Wilson
Adrik Villareal
Aduion Huevta
Advait Bhavsar
Advyan Owens
Aedrian Equilos
Aeisa Martinez
Aek Gurica
Aekadiy Yeliseyev
Aeril Robertson
Aeron Agbayani
Afolasade Adeleke
Agdiasha Lafontaine
Agnes E Dilley
Agsel Hernandezcolon
Agustin Hernandez
Agustin Riverarivera
Agustin Rodriguezrivera
Agustin Salgado
Agustin Senerizpuig
Agwiar Aliyg
Ahad Atta
Ahjanay Ervin
Ahlrimante Yates
Ahmad Yassin
ahmanisha Thomas
Ahmayah Davis
Ahmed Dioubate
Ahmed N Syed
Ahmet Sekerhan
Ahngel Curry
Ahrie Carter
Aiah Allieu
Aiana Artis
Aida Marrero
Aidan Adair
Aidan Berriochoa
Aidan Crank
Aidan Daugherty
Aidan Durkin
Aidan Flaherty
Aidan Harris
Aidan Huisizer
Aidan John
Aidan Lafountain
Aidan McGill
Aidan Musser
Aidan Quinn
Aidan Roland
Aidan Waugler
Aiden Aschbrenner
Aiden Eneks
Aiden Galsky
Aiden Grimm
Aiden Hamada
Aiden McNamara
Aiden Pizzarro
Aiden Place
Aiden Taylor
Aidon Christian
Aileen Keemer
Aileen Yu
Aime Yakpo
Aisha Khattak
Aizenhawar J Marrogi
Aj Dunn
Ajay Patel
Ajerill Ezell
Aka Curmey
Akeil Peebles
akiera Jenkins
Akiko Rupell
Akil Bennett
Akilah Edwards
Akimo Dawson
Akos Szimandel
Akoueley Amah
Akouwa Figah
Al Kelly
Al Valentine Taitano
Alahandra Q Duncan
Alain Ayan
Alain D Verley
Alain Lacipierre
Alain Sagno
Alaina Platt
Alajuwan McCoy
Alan A Bennett
Alan A Vogel
Alan Alcaraz
Alan Arikian
Alan B Lewis
Alan B Magee
Alan B Pitt
Alan B Salisbury
Alan Baleto
Alan Braga
Alan C Eachus
Alan C Jones
Alan C Kasbaum
Alan C Lashley
Alan C Moore
Alan Carroll
Alan Cartwright
Alan Chartier
Alan Cooley
Alan D Hobson
Alan D Kruse
Alan D Lind
Alan D Moore
Alan Dejesus-Cantor
Alan DelCidJuarez
Alan Domingo
Alan Dugger
Alan E Bosak
Alan E Raznick
Alan E Ruegemer
Alan E Shepherd
Alan E Wells
Alan Ellingson
Alan F Drinkard
Alan F King
Alan F Schiebel
Alan Frederick
Alan G Bourque
Alan G Dow
Alan G Sasaki
Alan Glaubinger
Alan H Goslen
Alan Harding
Alan Hodges
Alan J Brodsky
Alan J Deogracias
Alan J Drinkwater
Alan J Moss
Alan J Roth
Alan Janzen
Alan Johnson
Alan Jones
Alan Kenyon
Alan Kimura
Alan L Bahl
Alan L Brown
Alan L Cook
Alan L Efflandt
Alan L Gonsalves
Alan L Hunter
Alan L Perlman
Alan L Westad
Alan Lamontagne
Alan M Gardner
Alan M Kimball
Alan Market
Alan McCahan
Alan McCormick
Alan Meador
Alan Osborne
Alan P Kenyon
Alan P Souers
Alan P Swartz
Alan R Brown
Alan R Hobbs
Alan R Lee
Alan R Medford
Alan R Ricketts
Alan S Macrae
Alan Simmons
Alan Skerker
Alan Smith-Hicks
Alan Stanley Kornacki
Alan Tucker
Alan V Langford
Alan Vaskas
Alan W Bell
Alan W Luscombe
Alan Ward
Alan West
Alan Wika
Alan Wilson
Alan Woods
Alana Burns
Alana Powell
Alana Wauford
Alani Williams
Alania Brown
Alanna Baxter
Alanni Greenidge
Alas Giovanni
Alayjah Ousley
Alayne P Conway
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Albert A Thurman
Albert Alverez
Albert Amponsah
Albert Aragon
Albert Arcand
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Albert Benson
Albert Boston
Albert Bryan
Albert Burl
Albert Burton
Albert C Isler
Albert C Krenz
Albert C Pegueros
Albert D Devore
Albert D March
Albert D McCracken
Albert E Fox
Albert E Hiser
Albert E King
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Albert Green
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Albert H Hardy
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Albert Hill
Albert J Amataga
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Albert J Hamilton
Albert J Portscher
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Albert Walker
Albert Washington
Albert Wilkins
Albert Willars
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Alberta M Cole
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Alberto Gonzalez Acevedo
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Alberto Marquez
Alberto Munoz
Alberto Ortizortiz
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Alberto Quinonesmendez
Alberto R Ravelo
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Alberto Ruizroque
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Aldayir Urzua
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Aldo Rojo
Aldorien E Belisle
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Alec Norris
Alec Pinnow
Aleisha Thomas
Alejandr Villegasvalencia
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Alejandra Peralta
Alejandra perea Maldonado
Alejandra Valdes
Alejandro Bonilla
Alejandro Cortes
Alejandro Cuaresme
Alejandro D Rendon
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Alejandro Estrada
Alejandro Flores
Alejandro Gallardo
Alejandro Garcia
Alejandro Loera
Alejandro Moreira
Alejandro Otero
Alejandro Penaranda
Alejandro Rosales
Alejandro Salinas
Alejandro Torres
Alejandro Villanueva
Aleksander S Wolff
Aleksandrs Schuler
Alekzander Motzko
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Alena McDaniel
Alesha Locker
Alessandra Jerez
Alex Acosta
Alex Allen
Alex Andree
Alex Armitage
Alex Aviles
Alex Burdine
Alex C Wallace
Alex Cain
Alex Camp
Alex Corby
Alex Curl
Alex Dingars
Alex Domanico
Alex Elkins
Alex Evans
Alex Ezuka
Alex Fortune
Alex Garcia
Alex Godoi
Alex Gonzalez
Alex Greytak
Alex Gualdoni
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Alex Jones
Alex Jordan
Alex Kasrani
Alex Kennedy
Alex Meier
Alex Mitchell
Alex Montes
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Alex Pressler
Alex Price
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Alex Schneider
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Alex West
Alex Yates
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Alexa Sanchez
Alexa Trimnal
Alexander A Galenes
Alexander Acheampong
Alexander Aerts
Alexander Alderson
Alexander Anderson
Alexander Aponte
Alexander Axford
Alexander Aylsworth
Alexander B Belenski
Alexander Bagay
Alexander Baker
Alexander Barber
Alexander Barge
Alexander Barnhart
Alexander Barron
Alexander Beckenle
Alexander Bedoya
Alexander Beerman
Alexander Berkenhoff
Alexander Blaylock
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Alexander Carballea
Alexander Clabia
Alexander Coleman
Alexander Conley
Alexander Craig
Alexander Dahl
Alexander Delarosa
Alexander Dickerson
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Alexander Frost
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Alexander Henning
Alexander Hering
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Alexander Hinton
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Alexander Howard
Alexander Hunter
Alexander Ingram
Alexander Ives
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Alexander J Kaleta
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Alexander Jamison
Alexander Jatto
Alexander Jimenez
Alexander King
Alexander Kupratty
Alexander L Wisnoski
Alexander M Bautista
Alexander M Okimoto
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Alexander McCabe
Alexander McConnell
Alexander Mitchell
Alexander Murray
Alexander Otto
Alexander P Shine
Alexander P Stepanoff
Alexander Palafox
Alexander Palmer
Alexander Pee
Alexander Pember
Alexander Pluchinsky
Alexander Potik
Alexander Quinntana
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Alexander Reczek
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Alexander Rogers
Alexander Roissier
Alexander Routhier
Alexander Royal
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Alexander Rydholm
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Alexander S Swetz
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Alexander Servance
Alexander Sieber
Alexander Simon
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Alexander Skoves
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Alexander Smith
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Alexander Steffen
Alexander Steffey
Alexander Stole
Alexander T Trotty
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Alexander Ten Haaf
Alexander Torres
Alexander Turnbaugh
Alexander Unger
Alexander Urban
Alexander Valdez
Alexander Veyst
Alexander Voss
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Alexander Whisnant
Alexander Wieberg
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Alexander Winters
Alexander Wyatt
Alexander Ybarra
Alexandra Chinn
Alexandra Hraniotis
Alexandra Jackowska
Alexandra Kassieram
Alexandra Lopezfranco
Alexandra P Shattuck
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Alexandra Ross
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Alexandria Campbell
Alexandria LaRue
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Alexandro Soto
Alexanser Hammond
Alexas Simon
Alexcia Bryant
Alexei Vorobyov
Alexi Palacio
Alexia Irigoyen
Alexice Drawyer
Alexis Alford
Alexis Ambriz
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Alexis Diaz
Alexis Dolman
Alexis Garcia
Alexis Hernandez
Alexis Jaramillo
Alexis Jones
Alexis Juarez
Alexis McNeill
Alexis Melendez
Alexis Morales
Alexis Murrdock
Alexis Ouellette
Alexis Parrish
Alexis Rivera Arellano
Alexis Rockey
Alexis Santiago Franqui
Alexis Santos Domena
Alexis Torrestorres
Alexismichelle Belcher
Alexus Lor
Alexus Stephens
Alexxus Blake
Alexy Camacho
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Celso A Mitra
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Cephus C Addison
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Charlene A Lorentzen
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Charles A Anderson
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Charles Albers
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Charles Walker
Charles Wallace
Charles Waters
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Charles Wideman
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Charles Williams
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Charles Zamor
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Charlester White
Charlestine Moore
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Charley Dollins
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Charlie Y Currie
Charline A Oneill
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Charman Flagg
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Chase Bane
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Chasen Hardin
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Chasity Moment
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Chatry D Perry
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Chayse Dean
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Che Arosemena
Che Garcia
Che Mbah
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Chelsea Rapp
Chendi Sar
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Cheri Perez
Cherrie Jordan
Cheryl A Adams
Cheryl Bellamy
Cheryl Brooks
Cheryl C Hill
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Cheryl Jones
Cheryl L James
Cheryl L Moman
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Cheryl Robinson
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Chesley I George
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Chesney Moss
Chester A Murphy
Chester A Sharp
Chester B Weidenhammer
Chester Borysowski
Chester Boyles
Chester C Harvey
Chester Craig
Chester E Broccoli
Chester E Pasko
Chester G Scheatzle
Chester Guidry
Chester L Bush
Chester Lawrence Ward
Chester Lewis
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Chester Witkowski
Cheston Hickman
Chevonne Hayslett
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Cheyanne Hunter
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cheyenne Sears
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Chi Alicopper
Chiazo Ezekannagha
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Chimayo WilkersonGoldstein
China Woodard
Chino Tinson
Chiquita Ford
Chloe Hocking
Chloe Jordan
Choi K Tam
Cholito Meade
Chong Y Yea
Chongming Yang
Chris and Norma Waters
Chris Behrens
Chris Berges
Chris Brewer
Chris Bruce
Chris Brumitt
Chris Choi
Chris Cmiel
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Chris Crofton
Chris Durham
Chris Ferguson
Chris Fisher
Chris G Stevenson
Chris J Heil
Chris ‘Kaz’ Wojtewicz
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Chris L Jackson
Chris Llanes
Chris Loupe
Chris M Destefon
Chris Moon
Chris Mullinax
Chris Pittman
Chris R Beals
Chris R Lun
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Degrowth is an idea that critiques the global capitalist system which pursues growth at all costs, causing human exploitation and environmental destruction. The degrowth movement of activists and researchers advocates for societies that prioritize social and ecological well-being instead of corporate profits, over-production and excess consumption. This requires radical redistribution, reduction in the material size of the global economy, and a shift in common values towards care, solidarity and autonomy. Degrowth means transforming societies to ensure environmental justice and a good life for all within planetary boundaries.
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Degrowth
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https://degrowth.info/en/signatories-open-letter
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Signatories - Open Letter
The letter has been published 18 languages, particularly in openDemocracy (UK), Mediapart (France), The Wire (India), HGV (Hungary), Pagina 12 (Argentina), Yeşil Gazete (Turkey) and ctxt (Spain) among other media outlets.
Signing organizations (74)
Active Unemployed Austria
AgroEcoPolis – Hellenic Network for Agroecology, Food Sovereignty & Access To Land
Allerweltshaus Köln e.V. – Germany
Aristotle University of Thessaloniki, Political Sciences – Greece
Asociația Mai Bine – Romania
Assemblea Ecologista UAB – Spain
Associazione per la decrescita – Italy
Attac Austria
Attac Germany
AUTH, Hellenic Open University – Greece
Brisbane Tool Library – Australia
Cargonomia, Research and Experimentation Center on Degrowth – France/Hungary
Casa Aarmaluz, Organización de Educación Acción Comunitaria del Pueblo Originario de San Pedro Cuajimalpa – Mexico
Centro de Análisis Socioambiental – Chile
CATAPA – Belgium
Col•lectiu Soterranya – Spain
Collectifs contre les Grands Projets Inutiles et Imposés (Collectives against Unnecessary and Imposed Big Projects) – France
Décroissance Le Havre – France
Degrowth Vienna – Austria
Degrowth.info
Department of Environmental Studies, Masaryk University, Brno – Czech Republic
Earth Thrive – UK/Serbia
Écologiste Insoumis – France
Economy for the Common Good, Local Chapter Kassel – Germany
Emagine Life – Belgium
Emancipation Collective – France
Förderverein Wachstumswende – Germany
Friends of the Earth – Denmark
Fundación Terrasapiens – Ecuador
GAIA Environmental Action and Intervention Group – Portugal
Gaiamocracy e.V. i.G. – Germany
Group of Scientists and Engineers for a Non Nuclear Future
Iliosporoi Network – Greece
IMPACT DOC – The Netherlands
Institute for degrowth studies / Institutet för nerväxtstudier (Organisers of the 6th International Degrowth Conference) – Sweden
Institute for Economic Research on Innovation – South Africa
Institute for Social Solidarity
ISDE Italia
Kalpavriksh (Environment Action Group) – India
La Transicionera – Spain
Les Amis de la Décroissance Nancy – France
Maison Commune de la Décroissance (Common House of Degrowth) – France
Manantial activist group – Mexico
Mouvement politique des objecteurs de croissance – Belgium
Movimento per la Decrescita Felice – Italia
Musaa Mujeres Por La Sosteniblidad Ambiental Y Alimentaria (Women For Environmental And Food Sustainability)
NetHood Zurich – Switzerland
New Wind Association
NGO Earth Thrive – Serbia
NISER – National Institute of Science Education and Research – Bhubaneswar, India
Ontgroei, the Dutch Degrowth Platform – The Netherlands
Our Future Leeds
P2P Lab – Greece
Parti Pour La Décroissance – France
Pierre Sèche – Aménagements Lithiques et Patrimoine Rural – France
Plataforma Vecinal y Observatorio de la Colonia Juarez – Mexico
Post Growth Institute – USA
Post-Growth Zürich – Switzerland
Projet Decroissance – France
Rede Para O Decrescimento – Portugal
Research and Degrowth – Spain
Rethinking Economics Antwerpen
Revo Prosperidad Sostenible – Spain
Rizoma Field School – Uruguay
Robur op Den Eik vzw (Robur at The Oak, NGO) – Belgium
SCORAI, And Beauty for All, Bread and Roses Party – United States
Secretariado Social Mexicano
Solidaritat i Comunicació – SICOM – Spain
STEILAS – Teachers Trade Union, Basque Country – Spain
The Hague International Degrowth Conference Organising Committee – The Netherlands
Theologien – Switzerland
Transition Edinburgh – Scotland
Un Projet de Décroissance – France
Universidad De La Tierra En Puebla – Mexico
Verein zur Erhaltung und Erschaffung tropischer Wälder e.V. – Germany
West Midlands One Planet Living Alliance – UK
WorldSummit Movement – The Netherlands
List of signatories (2056)
Aaron Vansintjan
Abha Bhaiya
Abigail Fowler
Adela Riber
Adele Roccato
Adeline Deheunynck
Adeline Grand-Clément
Adrià Garcia I Mateu
Adrián Almazán
Adrián Figueroa Hernández
Adrian Schlegel
Adrian Smith
Aécio Alves de Oliveira
Ágnes Medve
Agnese Casadei
Agnese Mariotti
Agnese Paganin
Agnese Targetti
Agneta Timotej
Agnieszka Hensoldt
Agurtzane Alonso
Agustín Bernal
Ahmad Alkhatib
Aicha Squalli
Aida Bañeres
Aida Luz Lopez
Aili Pyhälä
Aimilia Voulvouli
Ainhoa Mendizabal Bañales
Ajda Pistotnik
Alan Gallart
Alba Granados Agüero
Alberto Acosta
Alberto Cattaneo
Alberto Cortes
Alberto Fiori
Alberto Huerta Morales
Alberto Lomas
Alberto Palumbieri
Aldo Giuseppe Scarpa
Alejadro García Núñez
Alejandra Barrera
Alejandra Sorolla
Alejo Kraus-Polk
Alekos Pantazis
Alessandra Bianchi
Alessandra Bozzato
Alessandra Gasparini
Alessandra Morselli
Alessandra Petrelli
Alessandra Piccoli
Alessandro Baldussi
Alessandro Brollo
Alessandro Fossati
Alessandro Gambelli
Alessandro Maini
Alessandro Palumbo
Alessandro Passaro
Alessandro Pecis Cavagna
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Emmanuelle Vital
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Eric Holthaus
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Eurico Fonseca
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Fabio Villa
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Federica Biglio
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Fernando Cabido
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Fernando García Quero
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Fernando Llanes
Fernando Ruiz Peyré
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Fiachra O’brolchain
Filippo Adilardi d’Aquino
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Filka Sekulova
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Florian Döhle
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Francesca Brusa
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Francesca Cassarà
Francesca Ciulli
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Francesca Dell’orco
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Francesca Magnolo
Francesca Masocco
Francesca Monge
Francesca Pollastro
Francesca Rusconi
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Francesco Africano
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Francesco Elia
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Francesco Montemurro
Francesco Pascale
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Francesco Pinto
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Francine Reusens
Francine Van Den Brandeler
Francis Desroches
Francisco Carballo
Francisco J. Montoro-Ríos
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Francisco Rivero
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François Briens
François Briens
Francois Longerinas
Françoise Gollain
Frank Adloff
Frank Antonson
Frank Pallares Custodio
Frederic Boone
Freya Higgins-Desbiolles
Fuli Zavitsanou
Fulvia Ferri
Gabriel Esber Elias
Gabriel Eyselein
Gabriel Trettel Silva
Gabriela Baeza
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Gabriela Quintana
Gabriele Barbera
Gabriele Corucci
Gabriele Del Gaudio
Gabriella Cazzaniga
Gaël Plumecocq
Gaia Del Zoppo
Galina Kallio
Gardiana Bandeira-Melo
Gaukhar Chekembayeva
Gauthier Guerin
Gea Cristofaro
Gemma Chiara Cantarella
Geneviève Chagnon
Genevieve Nolet
Geoff Mosley
Geoffrey Garver
Georg Hauptfeld
Georg Kaser
George Kokkinidis
George Monbiot
Georgia De Leeuw
Georgina Flores Mercado
Georgios Kolempas
Gerald Hofbauer
Gerard Encabo
Gerardo Ezequiel Martín Carreño
Gerd Poell
Gerhard Schneider
Germain Fontenit
German Virguez
Giacomo Loffredo
Giacomo Strappaveccia
Giacomo Triggiani
Gian Francesco Gola
Giancarla Cortinovis
Giancarlo Boffelli
Gianfranco Carboni
Gianfranco Di Caro
Giangiacomo Guglielmini
Gianluca Cavaliere
Gianni Brianese
Gianni Martin
Gianni Zuppiroli
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Gil Hortal Janer
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Gilda D’Elia
Gilly Montgomery
Giorgos Kallis
Giorgos Koukoufikis
Giovanna Brucoli
Giovanni Avallone
Giovanni Luca Palmieri
Giovanni Meregalli
Giovanni Montesano
Giovanni Tancredi
Giulia Bassoli
Giulia Irene Aiello
Giulia Mariani
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Giuliano Garagnani
Giulio Casini
Giulio Dolfini
Giuseppe Cenci
Giuseppe Feola
Giuseppe Notarfrancesco
Giuseppina Leggeri
Gleizes Jérôme
Gloria A. Carmona
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Gorka Muñoa
Gouri Ramkumar
Greet Michielsen
Gregory Thompson
Grettel Navas
Guido Sigismondo
Guido Viero
Guillaume Bazire
Guillermo Bermúdez Garza Ramos
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Gunilla Ryd
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Gurden Batra
Gustavo Ampugnani
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Habib Bardi
Halil Kagan Tezer
Halliki Kreinin
Hamelle Louis
Hanna Guttorm
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Hanne Cottyn
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Hannes Vetter
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Hans Stricker
Hans Volmary
Hardaker Sina
Harpages Didier
Harry Wells
Harsh Kapoor
Hazel Nendick
Heather Leslie
Héctor Escudero Leiva
Heinz Wittenbrink
Helen Jarvis
Helena Fernández Carmena
Helena Revrenna
Helohim Jair Abraham Valdés Sánchez
Hendrik Theine
Henk Renting
Henri Wiman
Henriette Rios
Henrik Sundström
Herzog Anna
Hilde Kloeck
Hoebeke Piet
Homero Aridjis
Hoppe-Seyler Annika
Horacio Almanza Alcalde
Horst Treiblmaier
Hubert Buch-Hansen
Humberto Fernandez-Borja
I-Liang Wahn
Ian Gerson
Ida Barbati
Ida Merello
Ignacio Oyanguren
Ignacio Peon
Ignasi Puig Ventosa
Igor Giussani
Igor Simoni Homem De Carvalho
Ilaria Perissi
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Inés Astorga
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Ines Omann
Ines Sorlat
Inge Røpke
Ingeborg Vandenbulcke
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Isaac Cereijo Saura
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Jaap Fris
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Jacek Schindler
Jacky Smith
Jacob Hasselbalch
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Jacopo Richard
Jahnavi Pai
Jaime Paneque-Gálvez
Jakob Sparn
Jakub Rok
Jamie Kneen
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Jan Vávra
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Janet Molina Maturano
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Jaro Berce
Jarrige François
Jasmine Black
Jason Hickel
Javier A. Mejia Santellanes
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Jay Lucien
Jayeon Lindellee
Jayne Greenwood
Jean Boucher
Jean François Billeter
Jean Paul Van Bendegem
Jean Pierre Wilmotte
Jean Ziegler
Jean-François Boisvert
Jean-Louis Aillon
Jean-Michel Hupé
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Jeanne-Marie Van De Vliet
Jeffrey Althouse
Jefim Vogel
Jen Dyer
Jennifer Hinton
Jennifer Jendreizik
Jennifer Mateer
Jenny Gellatly
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Jens Friis Lund
Jens-Eberhard Jahn
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Jessica Böhme
Jessica Ham
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Jessica Mcgarty
Jessica Trivellin
Jesus Gayoso Alvarez
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Jimy Corcelles i Seuba
Jin Xue
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Jo Tait
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Joan Bosch
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Joana Campos
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Joëlle Saey-Volckrick
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Johanna Blomberg
Johanna Caminati Engström
Johanna Hopp
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John Holten-Andersen
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Joo-Hyoung Ji
Joost De Moor
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Jorge Antolín
Jorge Arche Fernández
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Jorge Carrasco Badia
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Jorge Mari
Jorge Min Hui Zhou
Jorge Pinto
Jorge Revuelta
Jorge Riechmann
Joris Claeys
Jose Anastasio Urra-Urbieta
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Jose Carlos Silva-Macher
Jose De Carvalho Paixao
José Dixneuf
José Enrique González Ruiz
Jose Fuca
Jose Guadalupe Sanchez Suarez
José Julio Ferraz De Campos Jr
Jose Luis Bueno Mingallón
José Luís Garcia
José Luis García Valero
José Luis Gómez
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Jose Manuel Domínguez
José Manuel Lamuela Losada
Joseba Azkarraga-Etxagibel
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Josef Zisyadis
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Josh Render
Joshua C Farley
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József Veress
Juan David Reina Rozo
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Juan Jesús Larrabeiti
Juan José Agustín Reyes Rodríguez
Juan Manuel Moreno Almansa
Judith Maschke
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Julia Backhaus
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Julia Karch
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Julian Lauten-Weiss
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Juliana Rodrigues
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Julien Vastenaekels
Julien-François Gerber
Jutta Besse
Kai Kuhnhenn
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Karina Lopez
Karina Schell
Karl Krähmer
Karlijn Van Den Broeck
Karolina Isaksson
Karry Muzzey
Katerina Brandes
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Kathleen Schulken
Katia Mella
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Katja Pellini
Katrijne Bossuyt
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Ken J. Caine
Kerstin Hötte
Kim Claes
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Kirk Hall
Kirsten L Oleson
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Koehler Tine
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Lanka Horstink
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Logan Strenchock
Lola Cuadrado de la Colina
Lorella Marini
Lorena Saccardo
Lorena Valencia
Lorenz Keyßer
Lorenza Donati
Lorenza Mingotti
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Lorenzo Luna
Lorenzo Marchetto
Lorenzo Mazzone
Lorenzo Montini
Lorenzo Ponzio
Lorenzo Velotti
Lorenzo Vignali
Lorthiois Jacqueline
Louis Marion
Louise Carver
Louison Cahen-Fourot
Lourdes Ontiveros Sánchez de la Barquera
Lourdes Perez
Lowy Elise
Lu Yen Roloff
Luca Bacco
Luca Cautiero
Luca Tommasini
Luca Valt
Lucas Seghezzo
Lucas Van Den Abeele
Luce Roger
Lucero Alvarado
Lucia Adl
Lucia Blanco
Lucia Domenichelli
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Lucia Whalen
Luciana Vanni Gatti
Luciano Fioriti
Lucie Ferrandon
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Lucila Servitje
Lucilla Carcano
Lucio Lamera
Lucrezia Mascellino
Lucrezia Ventura
Ludo Pagie
Ludovica Mutinelli
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Luigi Arzillo
Luigi Forte
Luigi Gallina
Luigi Samori’
Luigina Bartone
Luis Alberto German
Luis de Benito
Luis Diaz
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Luis González Reyes
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Luis Martin de la Plaza
Luis Perlasca
Luis Pradanos
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Luisa Chierichetti
Luisa Derin
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Lukas Eggler
Lukas Godé
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Macia Blazquez Salom
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Magalie Paquet
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Majno-Hurst Pietro
Malmgren Köller
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Manfred Bosler
Manon Authelet
Manu V. Mathai
Manuel Ángel Cruz Couceiro
Manuel Bassas
Manuel Grebenjak
Manuel Mariga
Manuel Martín
Manuel Meseguer Díez
Manuel Pérez
Manuela Caregnato
Manuela Di Carlo
Mar Asuncion
Maragnani Sabrina
Marazita Fabrizio
Marc Gallen Solsona
Marcello Bisogno
Marco Antonio Moreno
Marco Antonio Rocha
Marco Aparicio Wilhelmi
Marco Bertoli
Marco Bonaccorsi
Marco Fambrini
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Marco Piantadosi
Marco Spezzaferro
Marco Trugenberger
Marco Zen
Marcos Barros
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Marcotte Benoit
Margalida Mar Ramis Sastre
Margaret Ohia-Nowak
Margarita Mediavilla
Margherita Furlan
Margherita Lodoli
Margherita Marchioni
Maria Albà Díaz
Maria Alonso
Maria Angela Lanzalaco
Maria Apicella
Maria Carrera Cantero
Maria Clara Van Der Hammen
Maria Crehuet
Maria Cristina Rizzà
Maria De Jesus Ordoñez
María De La Soledad Cervantes-Ramírez
María Duffy
Maria Elena Adorni
Maria Gabriella Pilloni
Maria Gara
Maria Garcia Mendez-Bencomo
María González
Maria Grazia De Vivo
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Maria Hadjimichael
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Maria Letizia Pellerito
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Maria Petrova
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Maria Rosaria Bonavoglia
Maria Rosaria Lattanzi
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Mariaelena Pagano
Marian R. Gómez
Mariana Calcagni
Mariana Lorena Moreno Sandoval
Marie-Jacques Rouleau
Marie-Jo Ouimet
Marie-Josée Lavallée
Marie-Monique Robin
Marieke Van Coppenolle
Marilena Massano
Marina Guillén Marcos
Marina Muroni
Marina Reig
Mario Alberto Ayala Suero
Mario Diaz
Mario Magnanini
Mario Molina-Kescher
Mario Sassi
Marion Real
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Mark H Burton
Mark Haggerty
Markel Penalba
Markku Lehtonen
Marko Ulvila
Markus Krecik
Markus Möller
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Martina Matarazzo
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Matthias Schmelzer
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Maura Avallone
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Max Canti
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Mayela Delgadillo Bárcena
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michele Bonelli
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Murat Cemal Yalçıntan
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Nancy Kachingwe
Naomi Lerato Terry
Naomi Mason
Nastaran Moossavi
Natale Nani Faccioli
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Natasa Pucelj
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Neera Rocchi
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Nélida Molina
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Nina Cvar
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Noè Fioretti
Noel Cass
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Nuria Abarca
Oleg Zurmühlen
Olga Koretskaya
Olga Syraya
Olga Vetrano
Oliver Barton
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Olivia Dinucci
Olivier De Schutter
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Olivier Roy-Rivard
Omar Flores
Ondet Christophe
Orion Rainer
Orsolya Lazányi
Orsolya Lelkes
Óscar Carpintero
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Oskar Hansen
Osvaldo Gobbo
Ottavia Cima
Owen Tyley
Oxana Lopatina
Ozan Nadir Alakavuklar
Pablo Mallén Pascualvaca
Pablo Santander
Paco Puche
Paloma Prevost Maco
Paloma Stafford
Panagiota Kotsila
Panagiotis Koustas
Panayotis Antoniadis
Panos Petridis
Paola Gionfriddo
Paola Laini
Paola Masera
Paola Merlo
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Paolo Mezzetti
Paolo Naldi
Pascal Longhi
Pasi Heikkurinen
Pat Brereton
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Patrice P Martel
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Patricia Gutiérrez-Otero L
Patricia Morellato
Patrick Huff
Patrik Zapata
Patrizia Arcobello
Patrizia Costa
Patrizia Filia
Patrizia Mero
Patrizia Peruzzo
Paul King
Paul Poulain
Paula Novo
Paula Ungar
Paulo Antunes
Pedram Dersch
Pedro Calvo Guerrero
Pedro Glatz
Pedro Reynolds-Cuéllar
Pedro Tomé
Pegy Zali
Pepa Gisbert Aguilar
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Pepe Campana
Pericle Sponzilli
Pernille Gooch
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Peter G. Brown
Peter Graham
Peter Gringinger
Peter North
Peter Pardi
Petr Daněk
Petter Næss
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Philippe Lena
Phoebe Tickell
Pia Brugnatelli
Pia Mamut
Pierluigi Fantini
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Pieter Vullers
Pietro Campanile
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Pio Montanaro
Predrag Momcilovic
Rachele Zampatti
Rafael Juan Rodríguez Marrero
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Rafael Navarro
Raffaele Lunardi
Raffaella Corsini
Raffaella Manzotti
Raffaella Mazz
Raffaello Morbiolo
Rahul Basu
Raimondo Simonetti
Rajinder Chaudhary
Ralf Lippold
Ramon Morales Balcázar
Raquel Boso Perez
Rasigan Maharajh
Raül Valls
Rebeca Segal
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Regiane Theyss
Renata Longo
Renato Maglia
René Marquina
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Rethinking Economics Antwerpen
Rex Panneman
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Ribotta, Roberta
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Robin Denz
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Rocco Munciguerrs
Rodolfo Buentello
Rodrigo Gonzalez Ortega
Rodrigo Mendoza
Roger Samsó
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Roi Vaara
Rok Kranjc
Roland Weber
Rolando V. Jiménez-Domínguez
Rolf Czeskleba-Dupont
Roman Isaac
Romil Javed
Romina Martin
Ronald Blaschke
Ronja Sannasdotter
Rosa Rovira Fontanals
Rosalba Degni
Rosana Peris
Rosella Barbanti
Ross Cheung
Rossana Botticchio
Rossana Fuentes
Rossella Capobianco
Roy Snellman
Ruben Vezzoni
Rubina Varago
Rudston Cullen
Ruggero Mascellino
Rupert Read
Ruth Fartacek
Ruth Pinto
Ryan Alan Sporer
Ryan Gunderson
Ryan Thombs
Ryan Wilson
Sabine Van Eupen
Sabrina Chakori
Sabrina Petrini Rossi
Sachiko Ishihara
Salomé Dávila
Salvador Eugenio Caoili
Salvadora Artillo Rubin de Celis
Salvatore Barile
Salvatore Papa
Sam Bliss
Sami Zemni
Samuel Alexander
Samuel Imanuel Bruggger
Samuel Martín-Sosa
Samuel Sim
Samuele Di Giovanni
Samuele Salani
Sandra Antelmann
Sandra Martinez
Sandra Pistocchi
Sandra Sarquis
Sandra Waddock
Santiago Gorostiza
Sapna Khemlani
Sara Di Giuseppe
Sara Falsini
Sara Fromm
Sara Gottschalk
Sara Lapeña Majan
Sara Latorre
sara Ledoux
Sara Messi
Sara Pessina
Sarah Akker
Sarah Bretschko
Sarah Guldenbrein
Sarah Lind-Macmillan
Sarra Tekola
Saverio Siciliano
Sayed Rafiqul Hasan Milon
Sean Kennedy
Seb O’Connor
Sebastian Aguilera Martin
Sebastian Amrhein
Sebastian Götte
Sebastiana Ottaviani
Seckin Guneser
Serge Mongeau
Sergio Amador
Sergio Cerutti
Sergio Fabbris
Sergio González juaricua
Sergio Portnoy
Sergio Rossi
Sergio Tirado Herrero
Sergio Velázquez Morales
Sergio Villamayor-Tomas
Sergios Strigklogiannis
Sharry Taylor
Shaun Sellers
Sheryle Carlson
Silva Bucci
Silvana Calcagno
Silver Sillak
Silvia Acquistapace
Silvia De Geronimo
Silvia Fontanella
Silvia Jill Léa Curreli
Silvia Lamedica
Silvia Loreti
Silvia Luraschi
Silvia Maccarini
Silvia Puppini
Simon Mair
Simon St-Georges
Simona Franceschetti
Simone Bambi
Simone D’Alessandro
Simone Frigato
Simone Mongelli
Simone Romani
Simone Scalas
Simone Toccacieli
Simonetta Bernardi
Sine N. Just
Siv-Ann Lippert
Sofia Avila
Sofia Cortesi
Sofia Getzin
Sofie Baeke
Sofie Baeke
Sofiia Pyshnieva
Sonia Barbaro
Sonia Cucculelli
Sonia Panigada
Sonia Sánchez Marcos
Sonja Muriel Plüss
Sonja Muriel Plüss
Sophia Sanniti
Sophia Wathne
Sophie Pomerleau
Soraya El Kahlaoui
Sorin Gog
Sourayan Mookerjea
Stasja Koot
Stavroula Papagianni
Stef Funk
Stef Kuypers
Stefaan De Wilde
Stefan Gaarsmand Jacobsen
Stefan Ortiz Przychodzka
Stefan Tramer
Stefania Quattrocchi
Stefanie Gerold
Stefano Arduin
Stefano Bartalesi
Stefano Catena
Stefano Druetta
Stefano Levra
Stefano Magariello
Stefano Musaico
Stefano Reineri
Stefano Reyes
Stefano Sanchioni
Stefano Santi
Stefano Soprani
Stefano Velotti
Stefano Zito
Stella Barros
Stella Controguerra
Stella Marazzi
Stéphane Lavignotte
Stephanie Arellano
Stephanie Pincetl
Stephen Gwynne
Steve G. Hoffman
Steven Ghezzo
Steven Mcgreevy
Steyn Hoogakker
Suanna Scheck
Susan A Jacobson
Susan Hauri
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Susanna Castelli
Susanna giglio
Suzana Sawyer
Sven Van Echelpoel
Sven Wöbbeking
Svenja Meyerricks
Sydney Bhalla
Sylvia Kabelka
Sylvia Ramsay
Sylvie Ferrari
Tahani Nadim
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Tanzi Giuliano
Tara Van Ryneveld
Tariq Baig Vila
Tatiana Roa Avendaño
Telye Yurisch
Teresa Aragón
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Teresa Meira
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Terra Baer
Teulieres Laure
Theodoros Karyotis
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Tiina Saaresranta
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Tom Abeles
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Tom Kucharz
Tom Younger
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Tommasina Rita Pavone
Tommaso Camera
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Tone Smith
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Tor A. Benjaminsen
Tor Persson
Tordjman Hélène
Torres Samuel
Truike Geerts
Ugo Bardi
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Ulrich Brand
Ulrike Jacob
Umberto Anastasi
Umberto Fogagnolo
Umut Önder
Una Fernández Ayuso
Unai Pascual
Urs Kleinert
Ursula wunderli
Uygar Özesmi
Valentin Vogl
Valentina Gil
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Valentina Montanaro
Valentina Soci
Valeria Di Pietro
Valeria Mutinelli
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Valerio Vitalini
Valle Lopez Tello
Van Buggenhout Cliff
Vandana Sharma
Vanessa Spedding
Vangelis Gkagkelis
Vanna lazzari
Vasilis Kostakis
Veerle Vandelacluze
Veillot Anisabel
Verena Frey
Verena Wolf
Vero Biolk
Véronèse Alain
Veronica Miniello
Veronika Tarnovskaya
Veronique Helwing
Véronique Voyer
Verret Francois
Vesna Manojlovic
Vicent Cucarella
Victoria Mestre
Vijay Kolinjivadi
Viki Sonntag
Ville-Veikko Hirvelä
Vinay Gidwani
Vincent Liegey
Vincenzo Rosciano
Violeta Rabi
Virgilio Carrillo
Virginia Soler
Virlene Marcia Coturi
Vittorio Capici
Vittorio D’Alto
Viviana Asara
Vojtech Pelikan
Volta Marie
Walid Hadj Ali
Walter Franchetti
Walter Torelli
Wayne Copeland
Werner Rätz
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Wickboldt Monika
Willi Hejda
William Rees
Wim Schrever
Winker Gabriele
Wojciech Kębłowski
Wolfgang Weritsch
Xaquin Perez-Sindin Lopez
Xavier Balaguer Rasillo
Xenia Miklin
Xenia Orgielewski
Xoán García
Yann Fiévet
Yayo Herrero
Yazmin Gonzalez
Yeonbo Jeong
Yiannis Fanourakis
Yolanda Trápaga Delfín
Young-Gyung Paik
Ysabela Fernandez
Yuri Kazepov
Yves Bertran Alvarez
Yves Julien
Yves-Marie Abraham
Zacharias Kolyvakis
Zachary Blair
Zaira Ruberto
Zarinah Agnew
Zeynep Aslan
Zheng-Hong Kong
Zoe Lujic
Zoe Mohl
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Patentee Index
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LIST OF PATENTEES
TO WHOM
PATENTS WERE ISSUED ON THE 4th DAY OF June, 2024
NOTE--Arranged in accordance with the first significant character or word of the name
(in accordance with city and telephone directory practice).
M & M Oil Tools, LLC: See--
Todd, Andy Paul 12000501 Cl. F16K 31/1635.
M R, Karthik: See--
Kumar, Manish; M R, Karthik; Kannan, Balaji; Govindaraj, Prasad; Prasad, Shishir; and Ryan, Kevin M. 11998651 Cl. A61L 2/18.
M S, Anand: See--
Ganiger, Ravindra; Woodrow, Thomas D.; M S, Anand; Chandran, Gopi; and Ramamoorthy, Subasree 11999363 Cl. B60W 50/0205.
M. TECHNIQUE CO., LTD.: See--
Enomura, Masakazu 12000661 Cl. F28D 7/0066.
M.S. Technologies, L.L.C.: See--
Mason, Justin T. 11997979 Cl. A01H 6/542.
M1NT, INC.: See--
Newman, Collin M.; Bybee, Brian P.; Soong, Shannon J.; Norcutt, Samuel J.; Thai, Jonathan E.; and Yim, Michael S. 12002381 Cl. G09F 1/12.
M2MD TECHNOLOGIES, INC: See--
Link, II, Charles M. 12001258 Cl. G06F 1/3209.
Ma, Bojun: See--
Chen, Xifeng; Ma, Bojun; Zhou, Dan; and Yuan, Junjie 11999962 Cl. C12N 15/8262.
Ma, Chao: See--
Kondo, Gakuya; and Ma, Chao 12001669 Cl. G06F 3/04883.
Ma, Hongwei: See--
He, Fan; Ma, Hongwei; and Dong, Xiangdan 12004394 Cl. H10K 59/131.
Ma, Hongwei; Dong, Xiangdan; Wang, Rui; and Chengdu BOE Optoelectronics Technology Co., Ltd., to BOE TECHNOLOGY GROUP CO., LTD. Display substrate and manufacturing method thereof, and display device 12004387 Cl. H10K 59/131.
Ma, Huafeng: See--
Huang, Zili; Pang, Boran; Hu, Chenglong; Chen, Zishun; and Ma, Huafeng 12001816 Cl. G06F 8/34.
Ma, Jianglei: See--
Maaref, Amine; Cao, Yu; Lyu, Yongxia; and Ma, Jianglei 12004201 Cl. H04W 72/51.
Ma, Jinshan; Sun, Baojiang; Qi, Jintao; Wei, Liming; Xi, Fengliang; Liu, Gang; Wang, Zhiyuan; Wang, Xing; Xu, Haichao; Ma, Long; Luan, Jiacui; Chen, Lei; Chen, Guodong; Zhao, Yuanlin; Yang, Zisen; Huang, Qiang; Ma, Menglei; Meng, Xiantao; Wei, Hongyin; CNPC BOHAI DRILING ENGINEERING COMPANY LIMITED; and CHINA NATIONAL PETROLEUM CORPORATION, to CHINA UNIVERSITY OF PETROLEUM (EAST CHINA) Pressure compensation device with accumulator group for controlled pressure drilling 12000222 Cl. E21B 21/08.
Ma, Jizhou: See--
Gao, Chunle; Xia, Huaxia; Shen, Hao; Nie, Qiong; Han, Tiansi; Li, Yiming; Ma, Jizhou; Tian, Feipeng; Hu, Binyang; and Tian, Mi 12002220 Cl. G06T 7/215.
Ma, Jun; and Serkh, Alexander, to OTIS ELEVATOR COMPANY Modular elevator sheave assembly 11999590 Cl. B66B 15/04.
Ma, Lin: See--
Luo, Wenhan; Ma, Lin; and Liu, Wei 12001959 Cl. G06N 3/088.
Ma, Lina: See--
Gaspar Marques, Paulo Jorge; Lepicard, Antoine Marie Joseph; Luo, Jian; Ma, Lina; and Priven, Alexander I. 11999651 Cl. C03C 3/068.
Ma, Long: See--
Ma, Jinshan; Sun, Baojiang; Qi, Jintao; Wei, Liming; Xi, Fengliang; Liu, Gang; Wang, Zhiyuan; Wang, Xing; Xu, Haichao; Ma, Long; Luan, Jiacui; Chen, Lei; Chen, Guodong; Zhao, Yuanlin; Yang, Zisen; Huang, Qiang; Ma, Menglei; Meng, Xiantao; and Wei, Hongyin 12000222 Cl. E21B 21/08.
Ma, Long; Wu, Wenzhen; Zhang, Weizhen; Meng, Qingyong; Feng, Ying; Zhang, Desheng; Xu, Weijian; Rong, Qingfeng; Ma, Yuliang; and Zheng, Jie, to CCTEG China Coal Research Institute Robot with adjustable rotary wing angle 11999475 Cl. B64C 35/008.
Ma, Menglei: See--
Ma, Jinshan; Sun, Baojiang; Qi, Jintao; Wei, Liming; Xi, Fengliang; Liu, Gang; Wang, Zhiyuan; Wang, Xing; Xu, Haichao; Ma, Long; Luan, Jiacui; Chen, Lei; Chen, Guodong; Zhao, Yuanlin; Yang, Zisen; Huang, Qiang; Ma, Menglei; Meng, Xiantao; and Wei, Hongyin 12000222 Cl. E21B 21/08.
Ma, Ning: See--
Chun, Changmin; Ma, Ning; Perdomo, Jorge J.; Coleman, John S.; and Iaccino, Larry L. 12000027 Cl. C22C 29/005.
Ma, Qun: See--
Han, Linhong; Zhang, Yi; Zhao, Guangzhou; Zhang, Yiyang; Yang, Yuqing; Liu, Tingliang; Yu, Pengfei; Zhou, Yang; Ma, Qun; Li, Xiping; Qin, Shikai; Huang, Weiyun; and Long, Yue 12004376 Cl. H10K 59/122.
Zhang, Xin; He, Yupeng; Zhou, Yang; Wang, Wei; Jiang, Xiaofeng; Wang, Yu; Yang, Lulu; Zhang, Yiyang; Yang, Guanghui; Lu, Jiaming; Hao, Rui; Ma, Qun; Liu, Pu; Zhu, Liudong; Huang, Qiang; He, Bin; Duan, Dinan; Bai, Haiyong; Li, Xin; and Wei, Ruiqi 12004367 Cl. H10K 50/844.
Ma, Rongchun: See--
Liu, Junqi; Yang, Chen; Li, Shubo; Ma, Rongchun; Chen, Jie; Sun, Xudong; Xiao, Yige; and Wang, Ruiping 12000319 Cl. F01N 3/2013.
Ma, Ruixiang: See--
Li, Shengyu; Guan, Lei; and Ma, Ruixiang 12004130 Cl. H04W 72/0446.
Ma, Ruixiang; Li, Shengyu; and Guan, Lei, to Huawei Technologies Co., Ltd. Communication method and communications apparatus for reduction of transmission latency of downlink data 12003341 Cl. H04L 1/1896.
Ma, Rujian: See--
Svenstrup, Niels; Zhang, Jun; Sun, Jikui; Chen, Yuyin; Kong, Jianshe; Ma, Rujian; Zhang, Junhua; Qin, Liang; Xiao, Huanming; Sun, Jinxu; Meng, Xiao; Sun, Fenglai; and Zhu, Jingyang 11999741 Cl. C07D 487/04.
Ma, Shawming: See--
Savas, Stephen E.; and Ma, Shawming 12002652 Cl. H01J 37/32183.
Ma, Shih-Yuan; to NANYA TECHNOLOGY CORPORATION Marks for overlay measurement and overlay error correction 12002765 Cl. H01L 23/544.
Ma, Sizhuo: See--
Wang, Jian; Ma, Sizhuo; Tilmon, Brevin; Wu, Yicheng; Krishnan Gorumkonda, Gurunandan; Zahreddine, Ramzi; and Evangelidis, Georgios 12001024 Cl. G02B 27/0172.
Ma, Tianan: See--
Yi, Yongjiang; Ma, Tianan; and Xiao, Chusong 12004144 Cl. H04W 72/12.
Ma, Tianhui: See--
Tang, Chunan; Zhao, Jian; Yang, Juying; Ma, Tianhui; Wang, Sijing; and Tang, Mu 12000626 Cl. F24T 10/30.
Ma, Tsung-Chuan: See--
Chen, Yi-Wen; Xiu, Xiaoyu; Ma, Tsung-Chuan; Jhu, Hong-Jheng; Wang, Xianglin; and Yu, Bing 12003729 Cl. H04N 19/132.
Chen, Yi-Wen; Xiu, Xiaoyu; Ma, Tsung-Chuan; and Wang, Xianglin 12003737 Cl. H04N 19/18.
Ma, Weiming: See--
Liu, Xiang; Wang, Aiping; Ma, Weiming; Zhao, Nianpeng; Liu, Xianghui; Ke, Zengguang; and Cao, Hengxiang 12000086 Cl. D07B 1/0633.
Ma, Wenying: See--
Hu, Hongbing; Ye, Fangwei; Fu, Bing; Cheng, Zhengming; Zou, Ying; Wen, Hongjun; Wu, Xiaobing; Hu, Liang; Huang, Haoran; Sun, Jun; Hu, Zheng; and Ma, Wenying 11998764 Cl. A61N 7/00.
Ma, Xiang: See--
Peng, Xianfeng; Jiang, Fenglin; Lv, Zhaorong; Lv, Ziheng; and Ma, Xiang 11999127 Cl. B31B 70/25.
Ma, Xuming: See--
Zhao, Ziran; Wang, Yingxin; Chen, Meng; and Ma, Xuming 12004426 Cl. H10N 15/15.
Ma, Yangzhao: See--
Wang, Meihong; and Ma, Yangzhao 12002843 Cl. H01L 27/156.
Ma, Yanzhuo: See--
Huo, Junyan; Wan, Shuai; Ma, Yanzhuo; Wang, Haixin; and Yang, Fuzheng 12003704 Cl. H04N 19/105.
Ma, Yitong; Budde, Mark W.; Mayalu, Michaelle N.; and Elowitz, Michael B., to California Institute of Technology Synthetic mammalian signaling circuits for robust cell population control 11999964 Cl. C12N 15/85.
Ma, Yongliang; Tong, Mingzhi; and Zhang, Rui, to NIO TECHNOLOGY (ANHUI) CO., LTD Vehicle control method and apparatus, vehicle-mounted device, vehicle, and medium 11999287 Cl. B60Q 1/525.
Ma, Yue: See--
Wu, Yumin; and Ma, Yue 12004230 Cl. H04W 74/0841.
Ma, Yuliang: See--
Ma, Long; Wu, Wenzhen; Zhang, Weizhen; Meng, Qingyong; Feng, Ying; Zhang, Desheng; Xu, Weijian; Rong, Qingfeng; Ma, Yuliang; and Zheng, Jie 11999475 Cl. B64C 35/008.
Maaref, Amine: See--
Luo, Jun; Xiang, Zhengzheng; Liu, Jin; Yuan, Pu; Au, Kelvin Kar Kin; Zarifi, Keyvan; Baligh, Mohammadhadi; and Maaref, Amine 12003442 Cl. H04L 5/0048.
Maaref, Amine; Cao, Yu; Lyu, Yongxia; and Ma, Jianglei, to HUAWEI TECHNOLOGIES CO., LTD. Sidelink configured grant resource configuration and signalling 12004201 Cl. H04W 72/51.
Maaruf, Muhammad: See--
Khalid, Muhammad; and Maaruf, Muhammad 12003111 Cl. H02J 3/381.
Määttänen, Helka-Liina: See--
Lin, Xingqin; Gao, Shiwei; Määttänen, Helka-Liina; Muruganathan, Siva; Sedin, Jonas; Shokri Razaghi, Hazhir; and Zou, Zhenhua 12004236 Cl. H04W 74/0841.
Maben, Douglas Dean: See--
Vandyke, Bryce Avery; Maben, Douglas Dean; Collins, Jonathan William; Wu, Tateh; Pedersen, Anders Michael; and Cordero, Edmund Fidelino P. 11999490 Cl. B64D 13/00.
Mabry, Guy Michael: See--
Piccolo, Brian Stephen; Mabry, Guy Michael; Quinn, Courtney Taryn; and Olean, Jr., Normand Francis 12002109 Cl. G06Q 40/08.
Macaluso, Anthony Methods and apparatus for powering a vehicle 11999250 Cl. B60L 53/24.
Macaluso, Anthony Vehicle energy generation system 12003167 Cl. H02K 7/1846.
Macarak, Edward John: See--
Rosenbloom, Joel; and Macarak, Edward John 11998550 Cl. A61K 31/519.
MacCready, Christopher David: See--
Hosseini, Ali; MacCready, Christopher David; O'Malley, Kendra; Karasic, Geoffrey Ian; Qi, Zenan; Hall, Benjamin Michael; Liu, Chun; McGovern, Paul; and Yeoh, Han Teik 11998186 Cl. A61B 17/0401.
MacDermot, Samuel; to INTER IKEA SYSTEMS B.V. Method and device for communicating a soundscape in an environment 12002166 Cl. G06T 19/006.
MacDonald, Alan Denis: See--
Lekutai, Gaviphat; and MacDonald, Alan Denis 12004010 Cl. H04W 28/0958.
MacDonald, Justin A.: See--
Haystead, Timothy A. J.; Carlson, David A.; Weitzel, Douglas H.; MacDonald, Justin A.; and Walsh, Michael P. 11999737 Cl. C07D 487/04.
MacDonald, Peter Scott: See--
Charles, Robert Andrew; Hamilton, Daniel Ernest; Hugger, Derek John; Phillips, James W.; Eisner, Jacob Wenner; Kessler, Jeffrey Alan; Soloway, Aaron; and MacDonald, Peter Scott 11998755 Cl. A61N 2/12.
MacEachern, Stuart P.; and Jenkel, Martin W., to BraveHeart Wireless Inc. Systems and methods for using a wearable health monitor 11998305 Cl. A61B 5/02055.
Macedo, Evandro Luiz Cardoso: See--
Oliveira, Ana Cristina Bernardo De; Saraiva, André Ricardo de Carvalho; Battisti, Anselmo Luiz Éden; Rocha, Antonio Augusto de Aragão; Delicato, Flávia Coimbra; Bastos, Ian Vilar; Pires, Paulo de Figueiredo; Batista, Thais Vasconcelos; Silva, Thiago Pereira da; and Macedo, Evandro Luiz Cardoso 12003378 Cl. H04L 41/0895.
Macerola, Agostino; to Micron Technology, Inc. Balancing current consumption between different voltage sources 12001233 Cl. G05F 1/575.
MacGaffey, Andrew; to MetaFluent, LLC Component-aware rest API routing gateway 12001894 Cl. G06F 9/54.
Macgregor, Elizabeth Verity Hammon: See--
Bebchuk, Bradley David; Macgregor, Elizabeth Verity Hammon; Bagda, Rohit Kumar; Zako, Shane; Tungseth, Trevor Michael; Winninger, Nicholas Alexander; Hagen, Erik Allan; and Christensen, Eric Tracy 12003518 Cl. H04L 63/1416.
MacGregor, Ross: See--
Bernstein, Ian H.; Wilson, Adam; Kong, Chun; and MacGregor, Ross 12001203 Cl. G05D 1/0022.
Machek, Ondrej; Vystavel, Tomás; Strakos, Libor; and Potocek, Pavel, to FEI Company Training an artificial neural network using simulated specimen images 12002194 Cl. G06T 7/001.
Machida, Takashi: See--
Fukui, Ryo; and Machida, Takashi 12002825 Cl. H01L 27/1461.
Machii, Noriyoshi; to NIDEC MOBILITY CORPORATION Opening and closing body control apparatus 12000196 Cl. E05F 15/695.
Machill, Konrad: See--
Leeser, Christian; Forthaus, Martin; and Machill, Konrad 12000736 Cl. G01K 13/08.
Machine Two Ltd.: See--
Gahir, Manjit Singh; Gahir, Ranjit Singh; Lenka, Goutam Shankar; Lewer, Alexander John; and Rauf, Mudasar 12003503 Cl. H04L 63/0853.
Machiraju, Sailaja: See--
Witham, Patrick H.; and Machiraju, Sailaja 11998603 Cl. A61K 47/10.
Macias, Jacqueline: See--
Merritt, Ben; Macias, Jacqueline; Strauss, Brian Michael; Tu, Thomas; Thress, John Coleman; and Lubock, Paul 11998436 Cl. A61F 2/01.
Mackay, Daniel; to PRATT & WHITNEY CANADA CORP. Hybrid-electric and all-electric aircraft power systems 11999509 Cl. B64F 5/40.
Mackey, Eric: See--
Harvey, Kyle; McIntyre, Ross; Halverson, Michael; Mackey, Eric; and Dorman, Justin 12000572 Cl. F21V 21/06.
Mackin, Charles; and Narayanan, Pritish, to International Business Machines Corporation Analog memory-based complex multiply-accumulate (MACC) compute engine 12003240 Cl. H03K 3/017.
MACLEAN-FOGG COMPANY: See--
Tuffile, Charles D.; and Lemke, Harald 12000006 Cl. C21D 1/18.
MacMillan, Adam; Suppiger, Gerhart; and Smith, Brett, to CORELINK, LLC Implant trial with radiographically visible indicium 11998457 Cl. A61F 2/4684.
MacNamara, Chris: See--
Zhou, Zhu; Gao, Xiaotian; MacNamara, Chris; Doyle, Stephen; and Kwatra, Atul 12001932 Cl. G06N 3/006.
MACOM Technology Solutions Holdings, Inc.: See--
Zhao, Lei; Durnan, Greg; and Ahmed, Abdulrhman M. S. 12003220 Cl. H03F 3/195.
Macours, Christophe Marc; Gautama, Temujin; and Young, Alexander Barry, to NXP B.V. Signal processor for a radio receiver 12003264 Cl. H04B 1/12.
Macpherson, Mike: See--
Barik, Rajkishore; Lewis, Brian T.; Sundaresan, Murali; Jackson, Jeffrey; Chen, Feng; Chen, Xiaoming; and Macpherson, Mike 12001944 Cl. G06N 3/063.
Macpherson, Mike B.: See--
Appu, Abhishek R.; Koker, Altug; Ray, Joydeep; Vembu, Balaji; Weast, John C.; Macpherson, Mike B.; Kim, Dukhwan; Hurd, Linda L.; Jahagirdar, Sanjeev; and Ranganathan, Vasanth 12001209 Cl. G05D 1/0088.
MACRONIX INTERNATIONAL CO., LTD.: See--
Chou, Yun-Chen; Wang, Tien-Yen; and Hung, Chun-Hsiung 12002536 Cl. G11C 7/08.
Lin, Tao-Yuan; Yang, I-Chen; and Chang, Yao-Wen 12002522 Cl. G11C 16/3427.
Madan, Ashvani K.: See--
Eichmann, Stephen E.; Isaacs, Karen K.; Kramer, Kenneth S.; Lamping, Michael R.; Madan, Ashvani K.; Miller, Matthew C.; Voegele, Aaron C.; Wiener, Eitan T.; and Young, Joseph E. 11998229 Cl. A61B 17/320092.
Madan, Nitin; Bhanjois, Bhimsen; and Ponnuswamy, Senthil, to DELL PRODUCTS L.P. Method and system for detecting compression ratio anomalies in data streams in a deduplication storage system 12001410 Cl. G06F 16/215.
Madan, Thantham; Nan, Hao; Kopatsy, Arthur; Jiang, Feng; Fu, Lunce; and Sood, Rohan, to Verkada Inc. Methods and apparatus for simulating a virtual camera using a computer to generate analytics of a video 12002286 Cl. G06V 40/16.
Maddali, Yaswanth Kumar; and Krishna, Abhilash, to GOODRICH CORPORATION Exterior decorative lighting 12000581 Cl. F21V 5/046.
Maderbock, Manfred: See--
Wall, Gunther; Madl, Wolfgang; Laubach, Johannes; Feyrsinger, Peter; Steinhardt, Helmuth; and Maderbock, Manfred 12000316 Cl. F01M 11/03.
Madhow, Upamanyu: See--
Arbabian, Mohammad Amin; Madhow, Upamanyu; and Mamandipoor, Babak 12000951 Cl. G01S 7/295.
Madhusudhanan, Madhu Kiran; Garg, Mohit; and Agarwal, Shankar, to Oloid Inc. Initialization of touchless identity card emulator 12001910 Cl. G06K 7/10366.
Madhusudhanan, Madhu Kiran; Garg, Mohit; and Agarwal, Shankar, to Oloid Inc. Status monitoring systems and methods for touchless identity card emulators 12001911 Cl. G06K 7/10366.
Madia, Oreste; Vellianitis, Georgios; Doornbos, Gerben; and Van Dal, Marcus Johannes Henricus, to Taiwan Semiconductor Manufacturing Company, Ltd. Semiconductor device and fabrication method thereof 12002860 Cl. H01L 29/267.
Madigan, Regina: See--
Chintakindi, Sunil; Gibson, Timothy W.; Hayes, Howard; Madigan, Regina; Rosanwo, Soton Ayodele; and Ortiz-Zabala, Juan 12002068 Cl. G06Q 30/0239.
Madisetti, Vijay: See--
Madisetti, Vijay; and Bahga, Arshdeep 12001462 Cl. G06F 16/3329.
Madisetti, Vijay; and Bahga, Arshdeep, to Madisetti, Vijay Method and system for multi-level artificial intelligence supercomputer design 12001462 Cl. G06F 16/3329.
Madl, Wolfgang: See--
Wall, Gunther; Madl, Wolfgang; Laubach, Johannes; Feyrsinger, Peter; Steinhardt, Helmuth; and Maderbock, Manfred 12000316 Cl. F01M 11/03.
Madrigal, Octavio Ponce; and Amihood, Patrick M., to Google LLC Detecting user presence 12000929 Cl. G01S 15/04.
Madruga, Jason A.: See--
Wade, Joshua D.; Neipris, Edward; Whitney, Russell; Madruga, Jason A.; and Gratton, Max Stephen 12003826 Cl. H04N 21/6405.
Madsen, Heinz: See--
Meerdink, Jan; Van Der Steen, Franciscus Theodorus Henricus Johannes; Janssen, Cornelis Joannes; Albers, Bastiaan Martinus Cornelis; Madsen, Heinz; Tiggeloven, Leonardus Jozephus Antonius; and Koster, Niels Antonio William 11998019 Cl. A22B 5/0029.
Maduri, Hanumath Rao; to Oracle International Corporation Techniques for unifying ETL filter operators 12001447 Cl. G06F 16/254.
madVR Labs LLC: See--
Rauen, Mathias 12001666 Cl. G06F 3/04847.
Maeda, Kazuma; to SHIMADZU CORPORATION Chromatograph mass spectrometer 12002670 Cl. H01J 49/0431.
Maeda, Koichi: See--
Takahashi, Masanori; Maeda, Koichi; Arai, Shinichi; Sugizaki, Ryuichi; and Tsukamoto, Masayoshi 12001050 Cl. G02B 6/02042.
Maeda, Miho; Mochizuki, Mitsuru; Saegusa, Taiga; and Iwane, Yasushi, to Mitsubishi Electric Corporation Mobile communication system 12003325 Cl. H04L 1/1812.
Maeda, Miho; Mochizuki, Mitsuru; Saegusa, Taiga; Iwane, Yasushi; Kakehi, Yuji; Nakazawa, Masayuki; and Suemitsu, Taisei, to MITSUBISHI ELECTRIC CORPORATION Mobile communication system 12004073 Cl. H04W 48/08.
Maekawa, Hitoshi; to NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY Power transmission mechanism 11998496 Cl. A61G 5/1027.
Maes, Jan Willem; Knaepen, Werner; Kachel, Krzysztof Kamil; De Roest, David Kurt; Jongbloed, Bert; and Pierreux, Dieter, to ASM IP Holding B.V. Sequential infiltration synthesis apparatus and a method of forming a patterned structure 12000042 Cl. C23C 16/45523.
Maestretti, Gianluca: See--
Oglaza, Jean-François; Ratron, Yves-Alain; and Maestretti, Gianluca 11998245 Cl. A61B 17/7032.
Maeta, Kazushi: See--
Fujihara, Takumi; Shimizu, Ryoji; Fujio, Kohei; Ishii, Akihiro; Koyama, Taiki; Maeta, Kazushi; Tsukanaka, Yohei; and Sugiyama, Kohei 12002633 Cl. H01H 13/14.
Magai, Koichi: See--
Aoba, Masato; and Magai, Koichi 12002259 Cl. G06V 10/82.
Magatti, Davide: See--
Molteni, Matteo; Ragazzi, Paolo; Lotti, Antonio; and Magatti, Davide 12000583 Cl. F21V 9/02.
Magee, David Patrick: See--
Sestok, IV, Charles Kasimer; and Magee, David Patrick 12000892 Cl. G01R 31/31922.
Magee, Stephen: See--
Miller, Michael Raymond; Magee, Stephen; and Linstadt, John Eric 12001283 Cl. G06F 11/1076.
Magic Leap, Inc.: See--
Chan, Richmond B.; Zhao, Wenyi; and Wu, Bing 11998275 Cl. A61B 3/113.
Cheng, Hui-Chuan; Manly, David; Mathur, Vaibhav; Haddock, Joshua Naaman; Messer, Kevin; and Carlisle, Clinton 12001110 Cl. G02F 1/137.
Edwin, Lionel Ernest; Yeoh, Ivan Li Chuen; Jia, Zhiheng; and Carlson, Adam C. 12001016 Cl. G02B 27/0093.
Johnston, Richard Stephen; and Schowengerdt, Brian T. 12001013 Cl. G02B 26/103.
Leider, Colby Nelson; Mathew, Justin Dan; Land, Michael Z.; Wood, Blaine Ivin; Lee, Jung-Suk; Tajik, Anastasia Andreyevna; and Jot, Jean-Marc 12003953 Cl. H04S 7/303.
Oh, Chulwoo 12001091 Cl. G02F 1/133504.
Rodriguez, Jose Felix; Perez, Ricardo Martinez; Nourai, Reza; and Taylor, Robert Blake 12002167 Cl. G06T 19/006.
Schowengerdt, Brian T.; Hua, Hong; Cheng, Hui-Chuan; and Peroz, Christophe 12001021 Cl. G02B 27/0172.
Shahrokni, Ali; Lin, Keng-Sheng; Zhao, Xuan; Moore, Christian Ivan Robert; and Swaminathan, Ashwin 12002170 Cl. G06T 19/006.
Maglione, Michael: See--
Albisu, Luis; Ortiz, Jr., Manuel; Solero, Daniel; Maglione, Michael; and Alvarez, Katie 12003497 Cl. H04L 63/0823.
MAGNA ELECTRONICS INC.: See--
Gali, Jyothi P.; Bozich, Richard C.; Gupta, Nikhil; Hodgman, Daniel W.; Phillips, Timothy M.; and McElroy, Clarence P. 12001213 Cl. G05D 1/0214.
Magna Exteriors GmbH: See--
Goetzelmann, Johannes; Muenker, Klaus; Wurster, Michael; and Weyer, Tobias 11999303 Cl. B60R 13/005.
Magna Exteriors Inc.: See--
Tichy, Stanislav; Chaaya, Riad; Birka, Mark P.; Kuntze, Christopher J.; Rubis, Jeff; and Salzmann, Heiner 11999222 Cl. B60J 5/107.
Magna Powertrain GmbH & Co KG: See--
Prix, Daniel; Milwisch, Christian; and Schober, Dominik 11999226 Cl. B60K 17/02.
Magnecomp Corporation: See--
Pankaew, Ekaratch; Ee, Kuen Chee; Sudachun, Preecha; Glaess, David; and Angsutanasombat, Chanatkarn 12002497 Cl. G11B 5/4833.
Magnolia Medical Technologies, Inc.: See--
Bullington, Gregory J.; Patton, Richard G.; Miazga, Jay M.; and Gaw, Shan E. 11998332 Cl. A61B 5/150221.
Magolan, Allen; and Skikun, Steve, to FORD GLOBAL TECHNOLOGIES, LLC Nighttime driving vehicle speed limiting 11999347 Cl. B60W 30/18009.
Magpul Industries Corp.: See--
Kielsmeier, Nicholas; Nakayama, Brian L.; Fiester, Jeremy M.; and Mayberry, Michael T. 12000671 Cl. F41C 23/04.
Magrini, Kevin Martin: See--
Huter, Scott J.; Magrini, Kevin Martin; DeHoog, Edward Allen; Burke, Jeff Alan; and Engel, Nathan Franklin 11998276 Cl. A61B 3/12.
Mah, Howard: See--
West, Robert; Mah, Howard; Krishnasamy, Sowriraja; and Michalagas, Dean-Andrew 12000301 Cl. F01D 25/285.
Mahadevan, Sridhar: See--
Sinha, Ritwik; Mahadevan, Sridhar; Sinha, Moumita; Tanjim, Md Mehrab; Singh, Krishna Kumar; and Arbour, David 12001520 Cl. G06F 18/28.
Maharana, Parag R.: See--
Ray, Anirban; and Maharana, Parag R. 12001342 Cl. G06F 12/1009.
Maharana, Shivangi: See--
Roy, Baishali; Tripathy, Antarlina; Sekhar, Panguluru Vijaya; Geetanjali, Shivangi; Kumar, Sowmya; Gaddam, Sambasivarao; Maharana, Shivangi; Panda, Sashibhusan; Parhi, Shishir Kumar; Reyyi, Harikrishna; Srinivasan, Seshadri; Mohanty, Bijan Kumar; Dinh, Hung; and Kumari, Sweta 12001273 Cl. G06F 11/079.
Mahatme, Nihaar N.; and Roy, Anirban, to NXP USA, Inc. Reusing memory arrays for physically unclonable function (PUF) generation 12001674 Cl. G06F 3/0604.
Mahaylova-Kroumova, Antoaneta Borissova: See--
Wagner, George; Mahaylova-Kroumova, Antoaneta Borissova; Tang, Guiliang; and Wang, Erming 11999960 Cl. C12N 15/8218.
Mahecic, Dora; Douglass, Kyle; and Manley, Suliana, to ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL) Koehler integrator device and application thereof in a multi-focal confocal microscope 12000999 Cl. G02B 21/0032.
Mahesh, Nivitha: See--
El Sayed, Karym; Hernaez, Henry; Mahesh, Nivitha; Liao, Wei; Fois, Franco; Rechsteiner, Daniel; Agris, Jacob; Ghamari, Mohammad Sedigh; Gao, Xiangzhen; and Menon Gopalakrishna, Prahlad 12002203 Cl. G06T 7/0012.
Mahfoudi, Gaël; and Ouddan, Mohammed Amine, to SURYS Method for processing digital images 12002250 Cl. G06V 10/42.
Mahindru, Ruchi: See--
Haldar, Rajarshi; Deng, Yu; Wu, Lingfei; Mahindru, Ruchi; and Tao, Shu 12001896 Cl. G06F 9/542.
Mahlberg, Katherine: See--
Mahlberg, Nicholas Paul; Roper, Daniel; and Mahlberg, Katherine 12000532 Cl. F16M 13/06.
Mahlberg, Nicholas Paul; Roper, Daniel; and Mahlberg, Katherine, to Hangen Innovations, LLC Device to securely hold and release headgear along with other personal protective equipment 12000532 Cl. F16M 13/06.
MAHLE INTERNATIONAL GMBH: See--
Sever, Peter 12003161 Cl. H02K 5/128.
Mahmoudi, Charif: See--
Formicola, Valerio; and Mahmoudi, Charif 12003525 Cl. H04L 63/1433.
Mahmoudi, Morteza: See--
Farokhzad, Omid; Mahmoudi, Morteza; and Corbo, Claudia 12000827 Cl. G01N 33/5432.
Mahoutian, Mehrdad; and Venditti, Mario, to CARBICRETE INC Systems and methods for curing a precast concrete product 11999076 Cl. B28B 11/245.
Mahr, Andrea; Weinschenk, Toni; Song, Colette; Schoor, Oliver; Fritsche, Jens; and Singh, Harpreet, to Immatics Biotechnologies GmbH Peptides and combination of peptides for use in immunotherapy against esophageal cancer and other cancers 11999774 Cl. C07K 14/70539.
Mahto, Anirudh; and Kumar Mahto, Ankit, to OPEN TEXT HOLDINGS, INC. System and method for load balancing in a multitenant environment 12003578 Cl. H04L 67/1008.
Mai, Henry: See--
Behera, Somik; and Mai, Henry 12003391 Cl. H04L 43/062.
Mailliu, Dominique: See--
Fink, Axel; Pardoux, Pierre; and Mailliu, Dominique 11999469 Cl. B64C 27/26.
MAIN CHOICE PAPER PRODUCTS LIMITED: See--
Meng, Wenjun; Tung, Pit Shing; Yu, Wai Hong; and Zhang, Mingyu 12000092 Cl. D21H 21/36.
MaineHealth: See--
Brooks, Peter C.; Caron, Jennifer M.; and Contois, Liangru 11998600 Cl. A61K 39/3955.
Mainka, David: See--
Heubrock, Dominik; and Mainka, David 11998933 Cl. B05B 1/185.
Maino, Fabio R.: See--
Wood, Steven William; Bai, Ding; Lakshmikanthan, Ramanathan; Rodriguez-Natal, Alberto; and Maino, Fabio R. 12003385 Cl. H04L 41/147.
Mainspring Energy, Inc.: See--
Simpson, Adam; Miller, Shannon; and Svrcek, Matt 12000331 Cl. F02B 71/04.
Maisonneuve, Martial: See--
Pollet, Cédric; Maisonneuve, Martial; and Durif, Pierre 11998103 Cl. A45D 40/24.
Maiti, Samarendra N.: See--
Salama, Sameeh M.; Maiti, Samarendra N.; and Jankowska, Renata 11998533 Cl. A61K 31/427.
Maitrot, Nicolas: See--
Thirion, Louis-Théophile; Subramaniam, Sangeerthman; Maitrot, Nicolas; and Riand, Jean-Charles 12001360 Cl. G06F 13/225.
Maity, Nirmalya: See--
Wang, Ying; Dai, Xundong; See, Guan Huei; Wang, Ruiping; Rice, Michael R.; Ponnekanti, Hari Kishen; and Maity, Nirmalya 12001193 Cl. G05B 19/418.
Maize, William Philip: See--
Bracken, Marc; Da Costa, Antonio Laranjo; Maize, William Philip; and Bracken, Declan 12000801 Cl. G01N 29/46.
Majdic, Franc: See--
Kitanovski, Andrej; Tomc, Urban; Klinar, Katja; Valentincic, Josko; Majdic, Franc; Sabotin, Izidor; and Mencinger, Jure 12000663 Cl. F28F 13/003.
Majjath, Sanjay Yadav: See--
Shinde, Jay Pareshbhai; Tuniki, Sanjana; Patel, Neki Jashwant; Majjath, Sanjay Yadav; and Durairaj, Sasikumar 12000076 Cl. D06F 37/267.
Majjigi, Vinay R.: See--
Pham, Hung A.; Phan, Duy N.; Chow, Sunny K.; and Majjigi, Vinay R. 12004054 Cl. H04W 4/23.
Majonis, Daniel: See--
Loboda, Alexander V.; Ornatsky, Olga; Baranov, Vladimir; Zabinyakov, Nikita; Mavropoulos, Anastasia; Majonis, Daniel; Allo, Bedilu; and Closson, Taunia 12000838 Cl. G01N 33/6848.
Major, Bryce Owen; Cumming, Brett Jason; and Willington, Mark Justin, to Orica International Pte Ltd Reconfigurable explosives materials transport and delivery system 12000686 Cl. F42D 1/10.
Major, Frank Kyle: See--
Oakes, III, Charles Lee; Morlen, Randy Ray; Morris, Michael Frank; Medina, III, Reynaldo; Harpel, Greg Alan; Gavia, Gabriel Glenn; Prasad, Bharat; Major, Frank Kyle; and Pollack, Jeffrey Neal 12002016 Cl. G06Q 20/042.
Makansi, Tarek; to StimAire, Inc. Wireless neural stimulator with injectable 11998753 Cl. A61N 2/02.
Maki, Shotaro; Iwai, Takashi; and Takata, Tomofumi, to Panasonic Intellectual Property Corporation of America Mobile station, base station, transmission method and reception method 12004155 Cl. H04W 72/1268.
Maki, Stephen P.: See--
Hebrink, Timothy J.; Maki, Stephen P.; Hoyle, Charles D.; Oxman, Joel D.; Scholz, Matthew T.; Mazzoni, Justin M.; Griffin, Michael E.; and Hamlin, Anna C. 12001036 Cl. G02B 5/208.
Makino, Hideyo: See--
Yamazaki, Kimiharu; Makino, Hideyo; Mikajiri, Susumu; Matsumoto, Tohru; Nakayama, Satoshi; Aoyagi, Kohta; Ebinuma, Ryosuke; and Ishii, Tatsuya 12003678 Cl. H04N 1/00909.
Makino, Kenzo: See--
Umehara, Hiromichi; Kawamori, Keita; Makino, Kenzo; and Hashino, Masachika 12000910 Cl. G01R 33/093.
Makino, Shinya: See--
Sato, Hidetaka; Makino, Shinya; and Hanawa, Naoki 12002634 Cl. H01H 13/14.
Makino, Taizo: See--
Masuda, Tatsuya; Yamazaki, Tsugumi; Makino, Taizo; Nagao, Katsunori; and Okuyama, Tsutomu 12000364 Cl. F02M 55/02.
Makino, Taizo; Kamimura, Takayuki; Yamamoto, Yuichiro; Wakasu, Yutaka; Sugae, Kiyonobu; Takeshita, Yukiteru; and Mizui, Naomitsu, to NIPPON STEEL CORPORATION Rail vehicle axle 12000028 Cl. C22C 38/50.
Makino, Tomoaki: See--
Ishii, Daiki; and Makino, Tomoaki 12001186 Cl. G05B 19/056.
Makino, Yuuki: See--
Okuda, Koichi; Yamamoto, Masafumi; Sekiguchi, Yoshito; Makino, Yuuki; and Tabata, Atsushi 11999340 Cl. B60W 10/115.
MAKITA CORPORATION: See--
Aoki, Yonosuke 11999045 Cl. B25F 5/008.
Hozumi, Akihiro 11997958 Cl. A01G 20/47.
MAKO Surgical Corp.: See--
Breisacher, Jochen; Hofmann, David; Umbdenstock, Emeric; Morgan, Jonathan; and Hoekstra, Paul 12003869 Cl. H04N 25/44.
You, Zhifu; Polomski, Steve; McClarin, Curtis; Otto, Jason; and Abbasi, Abdullah 11999065 Cl. B25J 9/1664.
Makosky, Matt: See--
Liu, Xiaomo; Shuai, Xin; Li, Quanzhi; Milles, Eric; Holten, Eric; Makosky, Matt; Vacek, Tom; Sidwell, Steven; Kelly, Ryan; Surprenant, Matthew A.; Francis, Scott; Dahn, Mike; Nourbakhsh, Armineh; Shah, Sameena; and Thomas, Merine 12002122 Cl. G06Q 50/18.
Maksimainen, Aki: See--
Peljo, Veli-Pekka; Lampen, Lauri; Nivala, Sami; Pellinen, Petri; and Maksimainen, Aki 11999459 Cl. B63H 23/04.
Maksimovic, Dragan: See--
Dede, Ercan M.; Nomura, Tsuyoshi; Erickson, Robert; Maksimovic, Dragan; Sankaranarayanan, Vivek; Gao, Yucheng; and Ghosh, Aritra 12002613 Cl. H01F 27/22.
Maksymova, Ievgeniia: See--
Druml, Norbert; Greiner, Philipp; Kirillov, Boris; Maksymova, Ievgeniia; Sladkov, Maksym; and Lierop, Hendrikus Van 12001010 Cl. G02B 26/0841.
Makurin, Mikhail Nikolaevich: See--
Lukyanov, Anton Sergeevich; and Makurin, Mikhail Nikolaevich 12003045 Cl. H01Q 9/0421.
Malaguti, Simone: See--
Ross, Joerg; Malaguti, Simone; Whelan, Ian; Carpentiero, Davide; Lugli, Mattia; and Scott, Luke 12000329 Cl. F02B 19/1061.
Malandra, Gianluigi: See--
Tracey, Christopher L.; and Malandra, Gianluigi 12000174 Cl. E05B 41/00.
Malapur, Rudrappa: See--
Cwalina, Roman; Jain, Shashank; Kain, Vishesh; Malapur, Rudrappa; and Chidrawar, Kalyani 12001416 Cl. G06F 16/2272.
Malassenet, Francois Jacques; and Sidle, Glenn Daniel, to GSFM LLC Methods, systems, and devices for an encrypted and obfuscated algorithm in a computing environment 12001525 Cl. G06F 21/14.
MALCAM Ltd.: See--
Stav, Eli; and Moshe, Danny 12000788 Cl. G01N 22/04.
Malcolm, Joshua J.: See--
Bramley, Neil K.; and Malcolm, Joshua J. 11998925 Cl. B02C 18/24.
Malecova, Barbora; Burke, Rob; Sala Cano, David; and Darimont, Beatrice Diana, to AVIDITY BIOSCIENCES, INC. Compositions and methods of treating facioscapulohumeral muscular dystrophy 11999955 Cl. C12N 15/113.
Malek-Mohammadi, Mohammadreza; and Werner, Karl, to Telefonaktiebolaget LM Ericsson (publ) Coverage enhanced reciprocity-based precoding scheme 12003353 Cl. H04L 25/03898.
Maleki, Sina: See--
Nimbalker, Ajit; Nory, Ravikiran; Andgart, Niklas; and Maleki, Sina 12003302 Cl. H04B 7/0628.
Maletich, Peter: See--
Matlin, Tai Hoon; Maletich, Peter; Applegate, Shawn Michael; Egan, Michael Franklin; and Surati, Dipan Pravin 12000528 Cl. F16M 11/125.
Maley, Evan D.: See--
Anandarajah, Nivay; Maley, Evan D.; Clarabut, Alexander J.; Li, Yu-Hung; and Schoech, John M. 12002976 Cl. H01M 50/20.
Anandarajah, Nivay; Maley, Evan D.; Clarabut, Alexander J.; Li, Yu-Hung; and Schoech, John M. 12002977 Cl. H01M 50/20.
Malfroy, Ambroise Nicolas Marie: See--
Perlin, Matthieu Patrick Jean Roger; Broussais-Colella, Nicolas François Paul; Le Cloarec, Damien Vincent; and Malfroy, Ambroise Nicolas Marie 12000295 Cl. F01D 25/005.
Malhotra, Neeraj; Mohanty, Satya Ranjan; Duan, Dongling; Kumar, Nitin; and Salagame Nagaraj, Narasimha Prasad, to Cisco Technology, Inc. Hierarchical ECMP control plane for dense topologies 12003409 Cl. H04L 45/24.
Malik, Vincent: See--
Boschert, Stefan; Hammer, Thomas; Heinrich, Christoph; Malik, Vincent; and Meth, Jochen 12000451 Cl. F16F 15/022.
Malinen, Eric James System of on-body mobile devices and methods of operation with a femtocell 12003265 Cl. H04B 1/3838.
Malipeddi, Kiran Kumar: See--
Desai, Kunal; Malipeddi, Kiran Kumar; Merla, Shekar Babu; and Agrawal, Pranav 12001288 Cl. G06F 11/1428.
Malka, Doron: See--
Moalem, Yosi; Elbaz, Gilad; Saphier, Ofer; Moshe, Maayan; Ayal, Shai; and Malka, Doron 11998410 Cl. A61C 13/082.
Malki, Bandar S.: See--
Lindahl, Carl D.; and Malki, Bandar S. 12000239 Cl. E21B 33/165.
Mallard, David; Lafrance, Ryan; and Zimmer, David Jonathan, to Tonal Systems, Inc. Filtering control signals 11998805 Cl. A63B 24/0087.
Malleo, Daniele: See--
Chapman, Kevin T.; Malleo, Daniele; Nevill, J. Tanner; Short, Steven W.; White, Mark P.; and Loureiro, M. Jimena 11998914 Cl. B01L 3/502761.
Mallery, Ryan; Balila, Ohad Israel; and Kester, Robert Timothy, to REBELLION PHOTONICS, INC. Window obscuration sensors for mobile gas and chemical imaging cameras 12000776 Cl. G01N 21/3504.
Mallick, Sanjib; Marappan, Gopinath; and Kumar, Kundan, to Dell Products L.P. End-to-end encryption of logical storage devices in a Linux native multi-pathing environment 12001595 Cl. G06F 21/78.
Mallick, Sanjib; Rao, Vinay G.; and Don, Arieh, to Dell Products L.P. Storage system configured to collaborate with host device to provide fine-grained throttling of input-output operations 12001679 Cl. G06F 3/061.
Mallick, Sanjib; Rao, Vinay G.; Nuthakki, Krishna Deepak; and Don, Arieh, to Dell Products L.P. Host device IO selection using buffer availability information obtained from storage system 12001714 Cl. G06F 3/0656.
Mallinckrodt Pharmaceuticals Ireland Limited: See--
Acker, Jaron M.; Falligant, John C.; Milsap, Jeff; Roehl, Robin; Schmidt, Jeffrey; and Tolmie, Craig R. 11998689 Cl. A61M 16/0051.
Mallipeddi, Venkata Harish; Portz, Travis John; Larsen, Jeppe Oskar Meyer; and Tayah, Mario, to Oracle International Corporation Asynchronous cross-region block volume replication 12001453 Cl. G06F 16/273.
Malmberg, Jeppe: See--
Svanegaard, Mads Hindhede; Stroebech, Esben; Eisenberg, Jacob; Olsen, Carsten Hellum; Malmberg, Jeppe; and Poulsen, Alex 11998474 Cl. A61F 5/4404.
Malouf, Gordon Joseph: See--
Yu, Tzu-Chin; Davidson, Aaron Samuel; Frater, Robert Henry; Johnston, Benjamin Peter; Klasek, Paul Jan; Paterson, Robert Anthony; Yang, Quangang; Rummery, Gerard Michael; Gupta, Priyanshu; Holley, Liam; and Malouf, Gordon Joseph 11998315 Cl. A61B 5/107.
Malpass, Howard; Tharpe, Ralph; Ethridge, M. Dean; Puvvada, Sudhakar; and Loy, Vince, to INDIGO MILL DESIGNS, INC. Systems and methods for preparing deoxygenated dye compositions 12000084 Cl. D06P 1/228.
Malshe, Ashutosh: See--
Wu, Jiangang; Lin, Qisong; Hoei, Jung Sheng; Wan, Yunqiu; Malshe, Ashutosh; and Chen, Peng-Cheng 12001340 Cl. G06F 12/0891.
Malthankar, Rohan C.: See--
Li, Li; Marui, Keizo; Goyal, Anish Kumar; Vaidyanathan, Abishek Kumar; Touati, Samy; and Malthankar, Rohan C. 12003969 Cl. H04W 12/72.
Malur Srinivasan, Ramya; and Uchino, Kanji, to FUJITSU LIMITED Ethics-based multi-modal user post monitoring 12001489 Cl. G06F 16/906.
Malzach, Samuel: See--
Aeschlimann, Marcel; Chapelat, Carole; Bitmead, Naomi; Malzach, Samuel; Sigrist, Martin; Schaeffer, Yann; Torriani, Laurent; Zuber, Rafael Luca; and Sottas, Loïc 11998297 Cl. A61B 5/0036.
Mamandipoor, Babak: See--
Arbabian, Mohammad Amin; Madhow, Upamanyu; and Mamandipoor, Babak 12000951 Cl. G01S 7/295.
Manapragada, Sai C.; to XiFi Networks R&D Inc. Method and apparatus for processing bandwidth intensive data streams using virtual media access control and physical layers 12003976 Cl. H04W 16/26.
Manas, Eric Steven: See--
Wan, Zehong; Zhang, Xiaomin; Wang, Jian; Sender, Matthew Robert; Manas, Eric Steven; Rivero, Raphael Anthony; Pero, Joseph E; Neipp, Christopher Ernst; and Patel, Vipulkumar Kantibhai 11999746 Cl. C07D 487/14.
Manchester, Scott Alan: See--
Padmanabhan, Prasanna Chromepet; Goel, Somesh; Shi, Jun; and Manchester, Scott Alan 12001871 Cl. G06F 9/45558.
Manchiraju, Venkata Kiran: See--
Gill, Kevin Scott; Powell, Michael Caleb; Rundquist, Victor Frederic; Manchiraju, Venkata Kiran; and Guffey, Roland Earl 11998975 Cl. B22D 11/115.
Mandal, Satadru Sekhar: See--
McGiven, John; Howells, Laurence; Duncombe, Lucy; Bundle, David; Mandal, Satadru Sekhar; and Sarkar, Susmita 11998608 Cl. A61K 47/61.
Mandali, Venkata: See--
Natarajan, Arunkumar; and Mandali, Venkata 12004043 Cl. H04W 4/025.
Mandell, Jonathan Brendan: See--
Urish, Kenneth; and Mandell, Jonathan Brendan 11998586 Cl. A61K 38/10.
Manepalli, Venkata Siva Sai: See--
Kuricheti, Prasanth; Singh, Jogendar; Kumar, Rajesh; Fang, Xinran; Paturi, Naresh Kumar; Mishra, Durjay Kumar; Kandru, Anil Kumar; and Manepalli, Venkata Siva Sai 12001318 Cl. G06F 11/3664.
Maneriker, Pranav Ravindra: See--
Stokes, III, Jack Wilson; Maneriker, Pranav Ravindra; Gururajan, Arunkumar; Carutasu, Diana Anca; and Garcia Lazo, Edir Vinicio 12003535 Cl. H04L 63/1483.
Manesh, Hadi Saeidi; and Zhang, Guifu, to Board of Regents of the University of Oklahoma, The Dual-polarized microstrip patch antenna and array 12003031 Cl. H01Q 21/24.
Mangal, Govind Kumar; Peter, Eldhose; and Balakrishnan, Rakesh, to Western Digital Technologies, Inc. Reducing file sizes for media content 12003776 Cl. H04N 19/70.
Manganiello, Charles Anthony: See--
Chandra, Amrit Kumar; Li, Liang; Manganiello, Charles Anthony; Johns, Kristian Kai; Sun, David Z.; Chernoff, Jay Ronald; Kulkarni, Neehar Shrikant; and Shirwadkar, Mayur 12004067 Cl. H04W 40/22.
Mani, Chithrai Selvakumar; and Pandiri, Venkat Shiva, to DIGIT7 INDIA PRIVATE LIMITED Methods and systems for detecting and tracking objects 12002336 Cl. G07G 1/0036.
Manicka, Yatheendhar D.; and Carter, Robert D., to Calyan Technologies, Inc. Clip design for a subcutaneous device 11998358 Cl. A61B 5/6884.
Manicke, Nicholas Edward; and Zhang, Chengsen, to Trustees of Indiana University, The Cartridges, systems and methods for mass spectrometry 11998907 Cl. B01L 3/502.
Maniere, Charles: See--
Estournes, Claude; Maniere, Charles; and Durand, Lise 11998985 Cl. B22F 3/14.
Manikonda, Shashikant: See--
Meinke, Rainer; and Manikonda, Shashikant 12003152 Cl. H02K 16/025.
Manipatruni, Sasikanth: See--
Mathuriya, Amrita; Wilkerson, Christopher B.; Dokania, Rajeev Kumar; Olaosebikan, Debo; and Manipatruni, Sasikanth 12001266 Cl. G06F 1/329.
Nikonov, Dmitri E.; Manipatruni, Sasikanth; and Young, Ian A. 12001941 Cl. G06N 3/049.
MANITOWOC CRANE GROUP FRANCE: See--
Larmonier, Nicolas; and Lemire, François 11999598 Cl. B66C 23/342.
Manjunath, Aruna; Mothe, Venkata Anil Kumar; and Vadgaonkar, Prashant, to ROSEMOUNT AEROSPACE INC. Dynamic sweep angle measurement for fault monitoring of windshield wiper systems 11999320 Cl. B60S 1/3409.
Manley, Suliana: See--
Mahecic, Dora; Douglass, Kyle; and Manley, Suliana 12000999 Cl. G02B 21/0032.
Manly, David: See--
Cheng, Hui-Chuan; Manly, David; Mathur, Vaibhav; Haddock, Joshua Naaman; Messer, Kevin; and Carlisle, Clinton 12001110 Cl. G02F 1/137.
Mann, Johnny; and Sullivan, Steffen, to J Mann 8, LLC Systems and methods for tracking location 12002339 Cl. G08B 13/2462.
Mann, Markus: See--
Schatz, Stefan; and Mann, Markus 12000622 Cl. F24H 3/002.
Mann, Timothy Arthur; Lobov, Ivan; Zhernov, Anton; Dvijotham, Krishnamurthy; Gong, Xiaohong; and Calian, Dan-Andrei, to DeepMind Technologies Limited Low latency multi-constraint ranking of content items 12001484 Cl. G06F 16/90335.
Manning, Miles Kirkland: See--
Hinton, Caleb Robert; Manning, Miles Kirkland; and Nelson, Robert Jacob 12002290 Cl. G06V 40/19.
MannKind Corporation: See--
Richardson, Peter; Baughman, Robert A.; Potocka, Elizabeth; Boss, Anders Hasager; and Petrucci, Richard 11998591 Cl. A61K 38/28.
Smutney, Chad C.; Kinsey, P. Spencer; Sahi, Carl R.; Adamo, Benoit; Polidoro, John M.; McLean, Scott; Overfield, Dennis; and Bryant, Anthony 11998683 Cl. A61M 15/0045.
Mannweiler, Christian; Rost, Peter; Markwart, Christian; Gajic, Borislava; and Sivasiva Ganesan, Rakash, to NOKIA SOLUTIONS AND NETWORKS OY Management and orchestration aided transparent of 3GPP network into TSN based industrial network 12004211 Cl. H04W 72/543.
Manohar, Baskaran: See--
Gottemukkala, Chakradhar; Manohar, Baskaran; and Chatterjee, Koustuv 12001455 Cl. G06F 16/283.
Manolidis, Spiros; to Tensor Flow Ventures LLC Stent delivery for vascular surgery 11998467 Cl. A61F 2/966.
Manor, Itay: See--
Goulinski, Nadav; Rudnick, Roy; Goldenberg, Ephraim; Yedid, Itay; Dror, Michael; Manor, Itay; and Shemesh, Ziv 12001078 Cl. G02B 7/10.
Manor, Ran El: See--
Geva, Amir B.; Netzer, Eitan; Manor, Ran El; Vaisman, Sergey; Deouell, Leon Y.; and Antman, Uri 12001607 Cl. G06F 3/015.
Manos, Peter A.: See--
Riedel, Jr., Robert E.; and Manos, Peter A. 12000252 Cl. E21B 43/2607.
Manriquez, Armida: See--
Diep, Nhut; Ditter, Tom Allen; Estrada, Raymond; Fuimaono, Kristine B.; Grunewald, Debby Esther; Hoitink, Ryan; Jimenez, Eduardo; and Manriquez, Armida 11998357 Cl. A61B 5/6859.
Manser, Franz; and Hügel, Ulf, to HUBER+SUHNER AG Antenna module with board connector 12003033 Cl. H01Q 21/26.
Mansi, Ahmed Abdelkarim; to Imam Abdulrahman Bin Faisal University Ventilation assembly including respiratory device and mechanical ventilator 11998700 Cl. A61M 16/0816.
Mansi, Tommaso: See--
Tuysuzoglu, Ahmet; Comaniciu, Dorin; and Mansi, Tommaso 12002583 Cl. G16H 50/20.
Mansiere, Jeffrey; and Brandt, Stewart, to BASF Agricultural Solutions Seed US LLC Canola hybrid variety 8CN0001 11997965 Cl. A01H 6/202.
Mansiere, Jeffrey; and Brandt, Stewart, to BASF Agricultural Solutions Seed US LLC Canola hybrid variety 7CN0020 11997966 Cl. A01H 6/202.
Mansour, Anna-Marie; Kim, Kahyun; and Tortoriello, Andrea, to Tahoe Research, Ltd. Device control for wireless charging 12001609 Cl. G06F 3/016.
Mansour, George: See--
Feith, Raymond; Zollinger, Christopher; Mansour, George; Yu, Edmond; Frausto, Tomas; and Callahan, Ryan 11998723 Cl. A61M 5/3148.
Mansour, Mohamed Farouk: See--
Roh, June Chul; Bertrand, Pierre; Hosur, Srinath; Pothukuchi, Vijay; and Mansour, Mohamed Farouk 12004164 Cl. H04W 72/21.
Mansour, Rimon; and Celebi, Samel, to QUALCOMM Incorporated Passive intermodulation distortion filtering 12003270 Cl. H04B 1/50.
Manteiga, John Alan: See--
Mook, Joshua Tyler; Manteiga, John Alan; and Williams, Christopher 12000339 Cl. F02C 7/06.
Mantel, Mirjam: See--
Finkenzeller, Michael; Mantel, Mirjam; and Poebl, Monika 12003182 Cl. H02M 3/33584.
Manthey, Jeffrey A.: See--
Dobosy, Joseph; Rose, Scott D.; Manthey, Jeffrey A.; Allen, Shawn D.; Henck, Steven A.; and Behlke, Mark 11999994 Cl. C12Q 1/6837.
Mantri, Viraj C.; and Radhakkrishnan, Ramasubramanian, to Verizon Patent and Licensing Inc. Systems and methods for packet-based file compression and storage 12003607 Cl. H04L 69/04.
Manucheri, Aron: See--
Ragnhult, Mikael; Ordulu, Rifat; Manucheri, Aron; Falguera, Kenny Christer Öberg; Humlelu, Cecilia; and Bergstöm, Gustav Mattias Over 12003558 Cl. H04L 65/60.
Manufacturing Resources International, Inc.: See--
Dunn, William 12004311 Cl. H05K 5/0017.
Dunn, William; Diaz, Marcos; and Moreau, Alex 12004310 Cl. H05K 5/0017.
Manufacturing Systems Limited: See--
Hosseini, Ali; and Partridge, Ashton 12000059 Cl. C25D 5/02.
Manusharow, Mathew J.: See--
Elsherbini, Adel A.; Manusharow, Mathew J.; Bharath, Krishna; Lambert, William J.; Sankman, Robert L.; Aleksov, Aleksandar; Rawlings, Brandon M.; Eid, Feras; Soto Gonzalez, Javier; Jiao, Meizi; Nad, Suddhasattwa; and Kamgaing, Telesphor 12002745 Cl. H01L 23/49838.
Mao, Jiangyun; Yang, Tao; and Chen, Zhibo, to TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED Video stream decoding method and apparatus, terminal device, and storage medium 12003743 Cl. H04N 19/42.
Mao, Kai: See--
Zhang, Xiuping; Zhao, Panpan; Wu, Junfeng; Zhang, Ru; Kong, Xiaoming; Xu, Shuangqing; Zhou, Dao; Yuan, Xudong; Mao, Kai; Zhang, Na; Zhao, Ming; Li, Shaowei; and Bo, Jinglong 11999387 Cl. B61D 27/0072.
Mao, Tianyi: See--
Xiao, Zhichun; Zhang, Lingfeng; Liu, Yao; Hammer, Jon; Tang, Yutao; Fang, Sicong; Liu, Haining; Sun, Yijing; Yuan, Mingquan; Zhang, Shouyi; Yu, Pingjian; Reagan, Ryan B.; Mao, Tianyi; Ravichandran Susseelaa, Shangeetha; Wang, Zhenyu; and Zhu, Feiyun 12002080 Cl. G06Q 30/0629.
Mao, Tze-Chern; Fu, Yen-Chun; Chang, Chih-Hung; Chang, Yao-Ting; Chang, Li-Wen; and Wei, Chao-Ke, to Fulian Precision Electronics (Tianjin) Co., LTD. Immersion cooling tank 12001251 Cl. G06F 1/20.
Mao, Yuan; to Regeneron Pharmaceuticals, Inc. Methods for de novo protein sequencing 12000840 Cl. G01N 33/6851.
Mao, Zhengyi: See--
Lu, Jian; and Mao, Zhengyi 11999634 Cl. C02F 1/043.
Mao, Zhuqing: See--
Zhang, Rikui; Li, Xiance; Li, Xincheng; Lan, Chunqiang; Wu, Yipeng; Mao, Zhuqing; Chang, Sheng; and Ji, Xiaolei 12000253 Cl. E21B 43/2607.
Maoz, Tal: See--
Garcia del Valle, Pablo; Brockners, Frank; Maoz, Tal; Ryder, Benjamin William; and Rom, Aviad 12003368 Cl. H04L 41/0816.
Maplebear Inc.: See--
Prasad, Shishir Kumar; Rao Karikurve, Sharath; and Goyret, Diego 12002084 Cl. G06Q 30/0639.
Mapson, Adam Christopher; to Zoox, Inc. Three-point door closure mechanism with passive latch 12000186 Cl. E05B 83/40.
MAQUET CRITICAL CARE AB: See--
Hallbäck, Magnus 11998691 Cl. A61M 16/024.
Marani, Massimiliano: See--
Buttiglione, Luigi; Marani, Massimiliano; and Dirella, Vincenzo 12000635 Cl. F25B 47/025.
Marappan, Gopinath: See--
Mallick, Sanjib; Marappan, Gopinath; and Kumar, Kundan 12001595 Cl. G06F 21/78.
Marasigan, Michelle: See--
Kultran, Denpol; So, Yiu Man; Montemuro, Albert; Echoff, Jacob Zinn; Marasigan, Michelle; Hiatt, Michael John; Chaves, Jason Reis; Borisov, Michael Alex; Lee, Jar Jueh; Marr, Jr., Harry Bourne; and Buetow, Scott William 12003223 Cl. H03F 3/245.
MARATHON PETROLEUM COMPANY LP: See--
Langlois, III, Gerald E.; Bartlett, Hubie M.; Wilhelm, James; Huber, Mike; Leslie, Daniel; and Heck, Timothy E. 12000720 Cl. G01F 1/007.
Thobe, Zachary D. 12000538 Cl. F17C 1/12.
Marcellin-Dibon, Eric; Renaud-Goud, Philippe; and Siourakan-Badalou, Cédric, to Microoled Protective mask, in particular diving mask, with optical display system 11999453 Cl. B63C 11/12.
Marchand, Christophe: See--
An, Linkun; Marchand, Christophe; and Pommier, Yves 11999747 Cl. C07D 491/048.
Marchand, Jocelyn: See--
Fanelli, Dominique; Pampirio, Dominique; and Marchand, Jocelyn 12000470 Cl. F16H 49/001.
Marchildon, Louis-Frederic: See--
L'Herault, Patrick; and Marchildon, Louis-Frederic 11999421 Cl. B62D 55/15.
Marcon International, Inc.: See--
Gibson, Sarah; and McKinney, Richard 12003258 Cl. H04B 1/034.
Marcotulli, Eric Alexander; and Alminana, Daniel Antonio, to Elysium Health, Inc. Nicotinamide riboside and pterostilbene compositions and methods for treatment of neurodegenerative disorders 11998561 Cl. A61K 31/706.
Marcovecchio, Alan: See--
Sanghera, Rick; Rollins, Matthew; Beck, John; Born, William; Sage, Shahn; and Marcovecchio, Alan 11998735 Cl. A61N 1/0597.
Sanghera, Rick; Rollins, Matthew; Beck, John; Born, William; Sage, Shahn; and Marcovecchio, Alan 11998736 Cl. A61N 1/0597.
Marcu, Alon: See--
Sharon, Eran; Marcu, Alon; Benisty, Shay; Hahn, Judah Gamliel; Alrod, Idan; Bazarsky, Alexander; Navon, Ariel; and Zamir, Ran 12002508 Cl. G11C 11/5628.
MAREL MEAT B.V.: See--
Meerdink, Jan; Van Der Steen, Franciscus Theodorus Henricus Johannes; Janssen, Cornelis Joannes; Albers, Bastiaan Martinus Cornelis; Madsen, Heinz; Tiggeloven, Leonardus Jozephus Antonius; and Koster, Niels Antonio William 11998019 Cl. A22B 5/0029.
Marelli Automotive Lighting Reutlingen (Germany) GmbH: See--
Stopper, Ralf; Lange, Christian; Lu, Fan; Pfitzner, Lothar; and Wagner, Daniel 12000554 Cl. F21S 41/198.
Marengo, Giovanni Antonio; to ROLLS-ROYCE PLC Method for manufacturing a composite component 11999079 Cl. B29B 11/16.
Marfeld, Jan: See--
Weidner, Karl; Wirth, Ralph; Kaltenbacher, Axel; Wegleiter, Walter; Barchmann, Bernd; Wutz, Oliver; and Marfeld, Jan 12002901 Cl. H01L 33/0093.
Marfione, Anthony Louis; to Microtech Knives, Inc. Pocket knife 11999070 Cl. B26B 1/08.
Margarito, Jenny: See--
De Groot, Koen Theo Johan; Fonseca, Pedro Miguel; and Margarito, Jenny 11998347 Cl. A61B 5/4818.
Margolin, Alexey L.; Gallotto, Robert; and Shenoy, Bhami, to ALCRESTA THERAPEUTICS, INC. Methods, compositions, and devices for supplying dietary fatty acid needs 11998511 Cl. A61J 15/0092.
Mari, Charles Eugene: See--
Miller, Jr., Robert; Morgenstern, Harris M.; Mari, Charles Eugene; Wood, Christopher Lee; and Foster, Alfred Francis 12001328 Cl. G06F 11/3688.
Mariani, Marcello: See--
Servalli, Giorgio; Mariani, Marcello; Rigano, Antonino; and Calabrese, Marcello 12004338 Cl. H10B 12/30.
Mariani, Stefano; Boldini, Alain; Pilla, Andrea; Tavanti, Matilde; and Colangelo, Marco, to POLITECNICO DI MILANO Dynamic facade system for controlling shading 12000204 Cl. E06B 3/6722.
Marias Albrich, Luis Miguel: See--
Llorens Borrell, Carles; Marias Albrich, Luis Miguel; Díaz Rodríguez, Judith; Bueno Salinas, Javier; and Cruells Llonch, Sergi 11999529 Cl. B65D 29/04.
Maribu, Kenneth; Eller, John Gary; and Ryan, Anthony, to CONOCOPHILLIPS COMPANY Method and apparatus for milling a window in casing 12000226 Cl. E21B 29/06.
Marie, Elodie; and Vitali, Luca, to SORIN CRM SAS Method and device for processing a cardiac signal 11998751 Cl. A61N 1/3712.
Marin Cypriano, Felipe: See--
De Jong, Frank; Story, Hannah S.; Ryu, Keetae; Belov, Dmitry V.; Thirumalai, Gokul P.; Loofbourrow, Wayne; Birdsall, Jonathan; Thottempudi, Nagarjuna; Marin Cypriano, Felipe; and Coffman, Patrick L. 12001858 Cl. G06F 9/4451.
MARINE INNOVATIONS AND ENGINEERING B.V.: See--
Ascencio Ascencio, Jaime Alejandro 12000102 Cl. E02B 3/06.
Marinier, Paul: See--
Lee, Moon-il; Marinier, Paul; Pani, Diana; Pelletier, Benoit; Pelletier, Ghyslain; and Rudolf, Marian 12003431 Cl. H04L 5/0007.
Marinkovic, Jasmina: See--
Anyarambhatla, Gopal; Lawrence, Richard; and Marinkovic, Jasmina 11998565 Cl. A61K 33/30.
Marinov, Petko: See--
Vorotnikov, Petar; and Marinov, Petko 12001860 Cl. G06F 9/44526.
Marion, John Air odor removal system with sewage plumbing attachment 12000133 Cl. E03D 9/052.
Mark, Daniel: See--
Holenstein, Philippe; Studerus, Lukas; Rickenbach, Daniel; Mark, Daniel; and Weber, Heribert 11998928 Cl. B02C 4/06.
Mark, Henry Y.; and Eng, Randy, to Ingersoll-Rand Industrial U.S., Inc. Systems and methods for sequencing operation of compressed air dryers 11998873 Cl. B01D 53/265.
Markiewicz, Marcus Eduardo: See--
Feldman, Boris Isaac; Ruhlen, Matthew James; Soni, Manish; Markiewicz, Marcus Eduardo; Piaseczny, Michal Krzysztof; Singh, Nisha Tekchand; and Xue, Bowen 12001401 Cl. G06F 16/178.
Marking, John; to Fox Factory, Inc. Adjustable internal bypass 11999208 Cl. B60G 13/06.
Markman, Kevin; Winter, Kevin; Pereira Filho, Luiz Do Amaral De Franca; and Luo, Yunchi, to Google LLC Systems and methods for providing a collaborative document environment 12001784 Cl. G06F 40/197.
Marks, Daniel; Xu, Hua; and Dua, Dinesh, to ARISTOCRAT TECHNOLOGIES, INC. Multi-player gaming system with synchronization periods and associated synchronization methods 11998852 Cl. A63F 13/847.
Markwardt, Neil: See--
Beckman, Andrew T.; Scheib, Charles J.; Markwardt, Neil; and Decou, Robert 11998203 Cl. A61B 17/07207.
Markwart, Christian: See--
Mannweiler, Christian; Rost, Peter; Markwart, Christian; Gajic, Borislava; and Sivasiva Ganesan, Rakash 12004211 Cl. H04W 72/543.
Marley, Brian J.; and Wahler, Richard E., to Microchip Technology Incorporated Transparently attached flash memory security 12001689 Cl. G06F 3/0622.
Marlin, Barry N. Automatic mail notification system 11998131 Cl. A47G 29/1225.
Marnfeldt, Goran N.: See--
Weerakoon, Pujitha; Marnfeldt, Goran N.; and Weiss, Philip L. 11998732 Cl. A61N 1/0551.
Marotta, Angela: See--
Pane, Marco; Amoruso, Angela; Fiorio, Mirta; Marotta, Angela; Felis, Giovanna; and Del Casale, Antonio 11998578 Cl. A61K 35/747.
Marotta, Nicholas Carmelo: See--
Gibson, Sharon; Marotta, Nicholas Carmelo; Wilson, Daniel; Frank, David; Wilkowski, Phillip Michael; and Goldfarb, Jason 12002107 Cl. G06Q 40/08.
Marpe, Detlev: See--
Bross, Benjamin; Nguyen, Phan Hoang Tung; Keydel, Paul; Schwarz, Heiko; Marpe, Detlev; Wiegand, Thomas; and Helmrich, Christian 12003723 Cl. H04N 19/12.
Marquardt, Craig Eugene; Ai, Qi; and Goldman, Barry, to ABL IP Holding LLC Remote phosphor masks for retrofitting luminaires 12000548 Cl. F21K 9/64.
Marquez, Gino Raymond; to IMC, LLC Systems, devices and methods for storage of, and rapid access to items 11998096 Cl. A45C 5/065.
Marr, Jr., Harry Bourne: See--
Kultran, Denpol; So, Yiu Man; Montemuro, Albert; Echoff, Jacob Zinn; Marasigan, Michelle; Hiatt, Michael John; Chaves, Jason Reis; Borisov, Michael Alex; Lee, Jar Jueh; Marr, Jr., Harry Bourne; and Buetow, Scott William 12003223 Cl. H03F 3/245.
Marran, David: See--
Reed, Mark; Xing, Zheng (Derek); Marran, David; and Zergiebel, Earl 11998910 Cl. B01L 3/502715.
Marriott-Dodington, Thomas: See--
Plancherel, Laurent; and Marriott-Dodington, Thomas 12001620 Cl. G06F 3/0395.
Marriott, Robert Edward: See--
Ferry, Anne-Laure Sophie; Marriott, Robert Edward; and Roberts, Louise Jannette 11998624 Cl. A61K 8/046.
Marro, Justin A.: See--
Lindsey, James M.; Campanelli, John Richard; Foley, Elizabeth A.; Anneaux, Bruce L.; and Marro, Justin A. 11999130 Cl. B32B 1/08.
Marrone, Jeffrey; Korb, Brian; Seidl, Jefferson; and Wright, Sean, to DATAVANT, INC. Electronic healthcare form generation with bundled supplemental documentation 12002555 Cl. G16H 10/60.
Marsala, Alberto F.; Donzier, Eric; and Saudi Arabian Oil Company, to Openfield Technology Water detection for geosteering in directional drilling 12000277 Cl. E21B 49/087.
Marschilok, Amy C.: See--
Takeuchi, Esther S.; Takeuchi, Kenneth J.; and Marschilok, Amy C. 12002921 Cl. H01M 10/0525.
Marsh, Brian: See--
Ceisel, Ahren; and Marsh, Brian 12000702 Cl. G01C 19/5776.
Marsh, Gene Wesley: See--
Vassilovski, Dan; Marsh, Gene Wesley; Balasubramanian, Anantharaman; and Akkarakaran, Sony 12004047 Cl. H04W 4/029.
Marshall, John: See--
Wen, Xiao-Yan; Philip, Anju; Dossantos, Claudia; and Marshall, John 11998549 Cl. A61K 31/517.
Marsupial Holdings, Inc.: See--
Parker, William P.; Parker, Julie; and Brophy, Patrick 12001022 Cl. G02B 27/0172.
Marszalkowski, Frank John: See--
Fisk, Raymond P.; Becker, Timothy J.; Lame, Mary Elizabeth; Marszalkowski, Frank John; and Lauber, Matthew A. 11998862 Cl. B01D 15/3809.
Martens, Hubert Cécile François: See--
Schobben, Daniël Willem Elisabeth; Martens, Hubert Cécile François; and Schets, Marjolein Wilhelmina Maria 12003127 Cl. H02J 7/0044.
Martin, Colin: See--
Hubbard, Matthew James; Chiu, Tin Wah; Pick, Andrew; and Martin, Colin 11999425 Cl. B62D 6/008.
Martin, Dion Charles Chewe: See--
Fu, Timothy Tsun-Fai; Martin, Dion Charles Chewe; Chalvignac, Philippe Auguste; Yang, Quangang; and Creusot, David 11998690 Cl. A61M 16/0066.
Martin, Gary R.; to SULZER MANAGEMENT AG Place and cost efficient plant and process for separating one or more purified hydrocarbon streams from crude hydrocarbon streams, such as for naphtha stabilization and LPG recovery 11998863 Cl. B01D 3/141.
Martin, Gregory: See--
Smith, Ketchen; and Martin, Gregory 11998240 Cl. A61B 17/62.
Martin, Jacob: See--
Dixon, Kelly; Fasinski, Francis C.; Gentry, Robin J.; Murphy, Edward; Martin, Jacob; King, Colin; Neuhoff, Emily; Williams, Katherine T.; Heider, Christopher; Szabo, Rachel; and Abu-Hakmeh, Khaldoon 12003800 Cl. H04N 21/25883.
Martin, Jamie Andrew; to Perkins Engines Company Limited Engine system 12000326 Cl. F01P 11/0285.
Martin, Jean-François: See--
Bâle, Sophie; Brebion, Rémy; Renard, Nicolas; Martin, Jean-François; and Bouteau, Pierre-Olivier 12003788 Cl. H04N 21/2187.
Martin, Jethro: See--
Hunt, Cory Douglas; and Martin, Jethro 11997947 Cl. A01D 41/145.
Martin, John H.: See--
Hundley, Jacob M.; Martin, John H.; Yahata, Brennan; Miller, Julie; Schubert, Randall C.; and Schaedler, Tobias A. 11998978 Cl. B22F 1/16.
Martin, Ken; and Flood, Bryan, to Sonny's HFI Holdings, LLC Sensing and control of vehicle wash components and systems and methods thereof 12001230 Cl. G05D 7/0617.
Martin, Marc Junyent: See--
Farre Guiu, Miquel Angel; Martin, Marc Junyent; and Pernias, Pablo 12003831 Cl. H04N 21/8456.
Martin, Pascal: See--
Collings, Bruce; and Martin, Pascal 12002672 Cl. H01J 49/067.
Martin, Richard; to THINKING MACHINE SYSTEMS LTD. System and method for extracting data from invoices and contracts 12001446 Cl. G06F 16/254.
Martin, Roy W.; to TRUOX INC. Method and system for the remediation of aquatic facilities 11999633 Cl. C02F 1/008.
Martin, Thomas: See--
Kaltenbach, Johannes; Martin, Thomas; Radic, Mladjan; Bornträger, Kai; Glückler, Johannes; and Renner, Stefan 11999237 Cl. B60K 6/365.
Martin, William J.: See--
Mellem, Monika Sharma; Liu, Yuelu; Ahammad, Parvez; Gonzalez Cabezas, Humberto Andres; Martin, William J.; and Gersberg, Pablo Christian 12002590 Cl. G16H 50/30.
Martineau, Robert: See--
Lalonde, Jonathan; Hudon, Pierre; Audet, Claude; Boulay, Pierre; Kalla, Smail; Gosselin, Gérard; and Martineau, Robert 12000087 Cl. D21C 11/12.
Martinell, Brian: See--
Petersen, Michael W.; Williams, Edward James; Harnish, Robert; Kaeppler, Heidi Flewelling; Martinell, Brian; Collier, Ray; McFarland, Frank; and Kaeppler, Shawn Michael 11999958 Cl. C12N 15/8201.
Martinell, Brian Joseph: See--
Kaeppler, Shawn; Kaeppler, Heidi; Petersen, Michael William; Martinell, Brian Joseph; and McFarland, Frank 11998007 Cl. A01N 3/00.
Martinelli, Andrea: See--
Ghetti, Andrea; Martinelli, Andrea; Bolandrina, Efrem; Bedeschi, Ferdinando; and Fantini, Paolo 12002510 Cl. G11C 13/0069.
Martinez, Ricardo L.: See--
Robison, Charles D.; Grobelny, Nicholas D.; and Martinez, Ricardo L. 12003623 Cl. H04L 9/0852.
Martini, Guilherme: See--
Beltramin, Sidarta; and Martini, Guilherme 11999241 Cl. B60L 15/2045.
Martinis, Mario: See--
de Jong, Erik G.; Mu, Junlin; Pandya, Sameer; Crowley, Patrick J.; Herrera, Antonio F.; Horiuchi, James G.; Tang, Sherry; and Martinis, Mario 12003019 Cl. H01Q 1/273.
Martins, Bo; to B-K MEDICAL APS 2D ultrasound imaging with pulsed wave Doppler or color flow imaging 12000968 Cl. G01S 7/52073.
Marty, Alan W.; and Carter, John, to Pillar Vision, Inc. Systems and methods for evaluating player performance in sporting events 12002293 Cl. G06V 40/23.
Marty, Raffael: See--
Ross, Alan; Marty, Raffael; and Fischbach, Nicolas Christian 12001563 Cl. G06F 21/577.
Martz, Thomas: See--
Pimentel, Katherine Urena; Poteet, Steven A.; Martz, Thomas; McConnell, David; Pujar, Vijay V.; and Rexwinkle, Irene 12000696 Cl. G01B 7/085.
Marui, Keizo: See--
Li, Li; Marui, Keizo; Goyal, Anish Kumar; Vaidyanathan, Abishek Kumar; Touati, Samy; and Malthankar, Rohan C. 12003969 Cl. H04W 12/72.
Maruo, Ryohei; and Kawakami, Takahiro, to Hitachi Astemo, Ltd. Stroke simulator and brake control apparatus 11999336 Cl. B60T 8/409.
Maruyama, Hiroaki: See--
Morosawa, Ryo; Liu, Haisong; Nakajima, Akira; Okuma, Kenji; Maruyama, Hiroaki; Matsuo, Yoshikazu; Higashi, Shuto; and Yamaguchi, Fumiaki 11999293 Cl. B60Q 5/005.
Maruyama, Hiroki; Matsuda, Takuya; Okano, Hiroyuki; and Tamura, Naomichi, to Mitsubishi Electric Corporation Liquid level detector and air conditioning apparatus including the liquid level detector 12000636 Cl. F25B 49/022.
Maruyama, Ryohei: See--
Abe, Tomohito; Iimura, Kenta; Hirokawa, Kichinosuke; Fujikake, Akira; Yamaguchi, Toshiaki; Kuronuma, Daigo; Nagashima, Masakazu; Wada, Naoaki; Maruyama, Ryohei; Nozawa, Hideyuki; and Yoneyama, Hiromasa 11999175 Cl. B41J 25/006.
Maruyama, Tsuneo: See--
Takezoe, Shinichi; Maruyama, Tsuneo; and Sakai, Hideo 11999088 Cl. B29C 45/1459.
MARVEL TECHNOLOGY (CHINA) CO., LTD: See--
Xiao, Heping; and Li, Jia 12001122 Cl. G03B 15/10.
Marx, Dominik: See--
Germaine, John S.; and Marx, Dominik 11999299 Cl. B60R 1/22.
Marx, Matthew Arnold: See--
Wang, Xiaolun; Ivetac, Anthony; Kulyk, Svitlana; Lawson, John David; Marx, Matthew Arnold; and Smith, Christopher Ronald 11999753 Cl. C07D 519/00.
Marzban, Mohamed Fouad Ahmed; Nam, Wooseok; Luo, Tao; Yoo, Taesang; Chendamarai Kannan, Arumugam; Pezeshki, Hamed; and Taherzadeh Boroujeni, Mahmoud, to QUALCOMM Incorporated Methods and apparatus for base station signaling for interference estimation 12003979 Cl. H04W 24/02.
Marzouk, Adel A.: See--
Ahmed, Hany Mohamed Abd El-Lateef; Khalaf, Mai M.; Abdelhamid, Antar A.; and Marzouk, Adel A. 11999714 Cl. C07D 401/04.
Khalaf Ali, Mai Mostafa; El-Lateef Ahmed, Hany Mohamed Abd; Abdelhamid Ahmed, Antar Ahmed; and Marzouk, Adel A. 11999711 Cl. C07D 401/04.
Khalaf Ali, Mai Mostafa; El-Lateef Ahmed, Hany Mohamed Abd; Abdelhamid Ahmed, Antar Ahmed; and Marzouk, Adel A. 11999712 Cl. C07D 401/04.
Masaki, Takeshi: See--
Sato, Wataru; Kawana, Yuzuru; Shikata, Hajime; Oshita, Kazuhito; Masaki, Takeshi; and Sasaki, Takashi 12000183 Cl. E05B 81/77.
Masarwa, Mohamad: See--
Press Frimet, Or; Masarwa, Mohamad; Englert, Yaniv; and Barnea, Eyal 12000014 Cl. C22B 26/12.
Mascarin, Alexander; Peralta, Stephan; Tuzi, Andrea; Presta, Matthew David; and Presta, Michael James, to EQPME INC. Systems and methods for dynamic interaction with an augmented reality environment 12002176 Cl. G06T 19/006.
Mascarin, Alexander; Peralta, Stephan; Tuzi, Andrea; Presta, Matthew David; and Presta, Michael James, to EQPME INC. Systems and methods for dynamic interaction with an augmented reality environment 12002177 Cl. G06T 19/006.
Mascarin, Alexander; Peralta, Stephan; Tuzi, Andrea; Presta, Matthew David; and Presta, Michael James, to EQPME INC. Systems and methods for dynamic interaction with an augmented reality environment 12002178 Cl. G06T 19/006.
MASCHINENFABRIK REINHAUSEN GMBH: See--
Bryant, Angus 12003185 Cl. H02M 7/003.
Maschmann, Matthew R.; and Young, Matthias J., to Curators of the University of Missouri, The Area selective nanoscale-thin layer deposition via precise functional group lithography 12000037 Cl. C23C 16/0263.
Masciovecchio, Kurt L.; Polonsky, Daniel; Schulz, Mark; and Wessel, Anne, to Whirlpool Corporation Laundry treating appliance with a panel 12000074 Cl. D06F 34/34.
Mashak, John Michael: See--
Zanoria, Elmer S.; Harmeyer, Keith; Mashak, John Michael; and Smith, Daniel Joshua 12000485 Cl. F16J 15/3228.
Mashgin Inc.: See--
Srivastava, Abhinai; and Dhankhar, Mukul 12002245 Cl. G06T 9/002.
Masimo Corporation: See--
Telfort, Valery G.; Dimitrov, Dimitar; and Trang, Phi 11998362 Cl. A61B 5/7214.
Maso, Marco: See--
Ahmed Salem, Rana; Visotsky, Eugene; Hajri, Salah Eddine; Vook, Frederick; Maso, Marco; Hillery, William; and Tosato, Filippo 12004146 Cl. H04W 72/1263.
Mason, Justin T.; to M.S. Technologies, L.L.C. Soybean cultivar 05250624 11997979 Cl. A01H 6/542.
MASONITE CORPORATION: See--
Barzegari, Mohamad Reza; Pfau, James P.; Liang, Bei-Hong; and Exconde, Elizalde 11999137 Cl. B32B 23/044.
Masouros, Spyridon; Grigoriadis, Grigorios; and Boyle, Colin, to IMPERIAL COLLEGE INNOVATIONS LIMITED Device for supporting a body part 11998497 Cl. A61G 5/1043.
Massachusetts Institute of Technology: See--
Gilbert, Noah; and Brown, Joshua 12000698 Cl. G01B 9/0201.
Hatton, Trevor Alan; Harada, Takuya; and Halliday, Cameron G. 11999620 Cl. C01B 3/48.
Mershin, Andreas; Maurer, Christopher; Stathatou, Patritsia Maria; and Cameron-Kirksmith, Carolyn Margaret 11997956 Cl. A01G 18/00.
Patil, Prashant; Banks, Daniel; Bahri, Salima; Langford, William; Blackburn, Camron; Fredin, Zachary; Griffin, Robert; and Gershenfeld, Neil 11999006 Cl. B23K 26/0006.
Uzo-Okoro, Ezinne; and Cahoy, Kerri L. 11999513 Cl. B64G 4/00.
Zhang, Feng 11999767 Cl. C07K 14/24.
Massachusetts Mutual Life Insurance Company: See--
Lipke, David; and Zhang, Nailong 12002096 Cl. G06Q 40/06.
Ross, Gareth; and Walker, Tricia 12002099 Cl. G06Q 40/08.
Massard, Romaric Mathieu; to ELSTAR DYNAMICS PATENTS B.V. Optical modulator 12001114 Cl. G02F 1/167.
Massardier, Christine: See--
Barth, Martine; Contal, Sylvie; Junien, Jean-Louis; Massardier, Christine; Montalbetti, Christian; and Soude, Anne 11999758 Cl. C07F 5/025.
Massari, Ferdinand Edward: See--
Peck, Spencer Cory; Taylor, Steven John; Bogart, Elijah Lane; Doud, Devin Forest Reed; Im, Joo Hyun; Isaac, Dervla Tamara; Liu, Jenny; Massari, Ferdinand Edward; Myers, Robert Walter; Proudfoot, John Robert; Ross, Cheri; Casey, Jr., John Patrick; and Berry, David Arthur 11998610 Cl. A61K 47/65.
Masse, Zebinah P.: See--
Lui, Timothy S.; Yabe, Osamu; Masse, Zebinah P.; McCoy, Clayton J.; Stevenson, Benjamin A.; and Chen, Hsiang Hung 11998091 Cl. A44C 5/145.
Massengill, R. Kemp: See--
Newman, David E.; and Massengill, R. Kemp 12003323 Cl. H04L 1/0046.
Newman, David E.; and Massengill, R. Kemp 12004078 Cl. H04W 48/20.
Massey, Steven Marc: See--
Coates, David Andrew; Durham, Timothy Barrett; Johnston, Richard Duane; Massey, Steven Marc; Spinazze, Patrick Gianpietro; Stack, Douglas Richard; and Toth, James Lee 11999722 Cl. C07D 403/14.
Mast, Thomas: See--
Weaver, Keith David; Pujol, Michael; Birkenheuer, Andrew Jordan; Plagianos, Nicholas; Burge, Karl; and Mast, Thomas 11999503 Cl. B64D 33/08.
MASTERCARD INTERNATIONAL INCORPORATED: See--
Arora, Ankur; Patel, Rakesh; and Koduri, Aditya 12002017 Cl. G06Q 20/042.
Lee, Charles Sangwon 12002056 Cl. G06Q 20/4097.
MasterCraft Boat Company, LLC: See--
Sheedy, Darren S.; Huyge, Matthew J.; Myers, Michael D.; Schwenk, Zane E.; and Ekern, David F. 11999446 Cl. B63B 32/70.
Masterson, Colin Edward; Dangler, John R.; Johnson, Tory; Carter, Austin; and Mills, Gunnar, to International Business Machines Corporation Short or near short etch rework 12004307 Cl. H05K 3/225.
Masuda, Masami: See--
Midorikawa, Tatsuro; and Masuda, Masami 12002520 Cl. G11C 16/30.
Masuda, Takao: See--
Oyama, Keisuke; Shimizu, Yusuke; Ochiai, Takahito; and Masuda, Takao 11998879 Cl. B01D 71/261.
Masuda, Tatsuya; Yamazaki, Tsugumi; Makino, Taizo; Nagao, Katsunori; Okuyama, Tsutomu; and USUI CO., LTD., to NIPPON STEEL CORPORATION Steel pipe for fuel injection pipe and fuel injection pipe using the same 12000364 Cl. F02M 55/02.
Masuko, Taisuke; and Tanaka, Kazumasa, to TDK CORPORATION Solid-state secondary battery 12002925 Cl. H01M 10/0562.
Masuko, Takashi: See--
Toba, Masaya; Kurafuchi, Kazuhiko; Masuko, Takashi; Mitsukura, Kazuyuki; and Abe, Shinichiro 12004305 Cl. H05K 3/181.
Masumura, Ryo; and Tanaka, Tomohiro, to NIPPON TELEGRAPH AND TELEPHONE CORPORATION Tag estimation device, tag estimation method, and program 12002486 Cl. G10L 25/30.
Matamis, George: See--
Hossain, S. M. Istiaque; Mokhna Rau, Prakash Rau; Dhayalan, Arun Kumar; Fazil, Damir; Peterson, Joel D.; Chandolu, Anilkumar; Fayrushin, Albert; Matamis, George; Larsen, Christopher; and Islam, Rokibul 12004351 Cl. H10B 43/27.
Mate, Sujeet Shyamsundar: See--
Leppänen, Jussi; Lehtiniemi, Arto; Eronen, Antti; and Mate, Sujeet Shyamsundar 12001644 Cl. G06F 3/04815.
Mateo, Rafael A.; and Stelpflug, Richard G., to Monsanto Technology LLC Plants and seeds of hybrid corn variety CH011014 11997968 Cl. A01H 6/4684.
MATERION CORPORATION: See--
Sprague, Robert 12000033 Cl. C23C 14/044.
Matheson, Kenneth: See--
Lisio, Carmine; and Matheson, Kenneth 11999499 Cl. B64D 31/06.
Mathew, George: See--
Szabados, Steven; Tamura, Yuriko; Wang, Xixi; and Mathew, George 11998342 Cl. A61B 5/361.
Mathew, Justin Dan: See--
Leider, Colby Nelson; Mathew, Justin Dan; Land, Michael Z.; Wood, Blaine Ivin; Lee, Jung-Suk; Tajik, Anastasia Andreyevna; and Jot, Jean-Marc 12003953 Cl. H04S 7/303.
Mathews, Alexander S.: See--
Sen, Soumyadeep; Chawla, Rohit K.; De Souter, Marc A.; and Mathews, Alexander S. 12001393 Cl. G06F 16/128.
Mathews, Brian W.: See--
Kaye, Eric A.; Cesaroni, William C.; Ghassemian, Morad; Mathews, Brian W.; DiMonte, Eugene L.; Zielke, Donovan D.; and Lenz, Steven M. 11998789 Cl. A63B 21/055.
Mathews, Liju: See--
Deshpande, Amit; Mathews, Liju; Chikkaveerappa, Satish; and Venuraju, Mithra Kosur 12003802 Cl. H04N 21/41422.
Mathias, Anthony: See--
Porco, Carlo; Henriksen, Geoffrey; Wedemire, Jason; Mathias, Anthony; Hunze, Michael; Lavoie, Louis; Paynter, Marven; and Wilkinson, Dennis 12000302 Cl. F01D 25/285.
Mathis, Walter S: See--
Kahn, Peter; and Mathis, Walter S 12002575 Cl. G16H 40/20.
Mathison, Paul Theodore: See--
Lam, Ho Yu; Ashley, Robert Earle; Mathison, Paul Theodore; Li, Qiuming; and Ettema, Taylor 12003485 Cl. H04L 63/0245.
Mathur, Guruvayurappan S.: See--
Fernandes, Poornika; Curran, David Matthew; Meisner, Stephen Arlon; Srinivasan, Bhaskar; Mathur, Guruvayurappan S.; Jessen, Scott William; Chang, Shih Chang; Fields, Russell Duane; and Lynch, Thomas Terrance 12002846 Cl. H01L 28/60.
Mathur, Prashant: See--
Currey, Anna; Liu, Dengke; Upadhyay, Aakash; Mathur, Prashant; Dinu, Georgiana; and Nowell, Eric J. 12001809 Cl. G06F 40/58.
Mathur, Vaibhav: See--
Cheng, Hui-Chuan; Manly, David; Mathur, Vaibhav; Haddock, Joshua Naaman; Messer, Kevin; and Carlisle, Clinton 12001110 Cl. G02F 1/137.
Mathuriya, Amrita; Wilkerson, Christopher B.; Dokania, Rajeev Kumar; Olaosebikan, Debo; and Manipatruni, Sasikanth, to Kepler Computing Inc. Method and apparatus for managing power of ferroelectric or paraelectric logic and CMOS based logic 12001266 Cl. G06F 1/329.
Matityaho, Shlomo; to IDENTI HEALTHCARE LTD. Apparatus, system and methods for management of medical supplies 12002577 Cl. G16H 40/40.
Mativ Holdings, Inc.: See--
Froese, Hank; and Mota, Joaquin 11998926 Cl. B02C 23/08.
Matlin, Tai Hoon; Maletich, Peter; Applegate, Shawn Michael; Egan, Michael Franklin; and Surati, Dipan Pravin, to Fellowes, Inc. Multi-positional articulating ergonomic device with modular features 12000528 Cl. F16M 11/125.
Matoori, Simon: See--
Leroux, Jean-Christophe; Matoori, Simon; and Wuerthinger, Olha Voznyuk 11999829 Cl. C08G 81/025.
Matschofsky, Thomas; and Oppelstrup, Palle, to Struers APS Method of, and an apparatus for, rinsing materialographic samples 11998956 Cl. B08B 3/12.
Matsubayashi, Tatsushi: See--
Sato, Daisuke; Matsubayashi, Tatsushi; and Toda, Hiroyuki 12001440 Cl. G06F 16/2477.
Matsuda, Ayumi: See--
Takahashi, Masamichi; Matsuda, Ayumi; and Yoshioka, Koichiro 11998663 Cl. A61L 29/06.
Matsuda, Hiroyuki: See--
Matsumoto, Kotaro; Matsuda, Hiroyuki; Aoki, Hiroshi; Terada, Masaru; Emerson, Ovel; and Lowe, Paul A. 12004298 Cl. H05K 1/181.
Matsuda, Kouichi: See--
Suto, Yasuhiro; Fukuchi, Masaki; Ooi, Kenichirou; Guo, Jingjing; and Matsuda, Kouichi 12002173 Cl. G06T 19/006.
Matsuda, Shun: See--
Eguchi, Yuu; Tomita, Haruki; and Matsuda, Shun 12003168 Cl. H02K 9/22.
Matsuda, Takuma; to SUBARU CORPORATION Exhaust muffler supporting structure 12000318 Cl. F01N 13/1822.
Matsuda, Takuya: See--
Maruyama, Hiroki; Matsuda, Takuya; Okano, Hiroyuki; and Tamura, Naomichi 12000636 Cl. F25B 49/022.
Matsuda, Toshiya; and Yoshimoto, Hiroki, to KIOXIA CORPORATION Memory system and method to configure logical blocks 12001702 Cl. G06F 3/064.
Matsuda, Yuki; and Fujimatsu, Masakatsu, to GS YUASA INTERNATIONAL LTD. Voltage measurement circuit and energy storage apparatus 12000899 Cl. G01R 31/3835.
Matsui, Sosuke: See--
Hasegawa, Tohru; Miyamura, Tsuyoshi; Abe, Atsushi; Mitsuma, Shinsuke; Yamamoto, Noriko; and Matsui, Sosuke 12001405 Cl. G06F 16/185.
Matsukawa, Akihiko: See--
Nakano, Jun; Suzuki, Noriyuki; Matsukawa, Akihiko; Goto, Yoshikazu; Sano, Kenichi; Kanoe, Akihiro; and Kato, Takeo 12000353 Cl. F02D 9/1065.
Matsuki, Yuusuke; Mezaki, Daisuke; Tsukamura, Kiyoshi; and Tsuchiya, Yuki, to Ricoh Company, Ltd. Image forming apparatus, image forming method, and storage medium 11999158 Cl. B41J 11/00214.
Matsumoto, Ayumi: See--
Takahashi, Kosuke; Mikami, Dan; Isogawa, Mariko; Kojima, Akira; Kimata, Hideaki; and Matsumoto, Ayumi 11998819 Cl. A63B 69/0002.
Matsumoto, Hiroshi: See--
Ikejima, Ikumi; Matsumoto, Hiroshi; and Sawada, Kohei 12000819 Cl. G01N 33/1826.
Matsumoto, Kotaro; Matsuda, Hiroyuki; Aoki, Hiroshi; Terada, Masaru; Emerson, Ovel; and Lowe, Paul A., to Shinkawa Electric Co., Ltd. Sensor device and methods of making and using the same 12004298 Cl. H05K 1/181.
Matsumoto, Mari: See--
Doi, Kazuaki; Tanizawa, Yoshimichi; Nakashima, Toshiki; and Matsumoto, Mari 12003624 Cl. H04L 9/0852.
Matsumoto, Nobuaki: See--
Doan, David Trung; Ogawa, Yoshinori; and Matsumoto, Nobuaki 12002792 Cl. H01L 25/0753.
Matsumoto, Takashi: See--
Adachi, Rihito; Onaka, Yoji; Matsumoto, Takashi; Okano, Hiroyuki; Hatomura, Takeshi; and Okochi, Kazuki 12000633 Cl. F25B 41/42.
Matsumoto, Takuya: See--
Isokawa, Hiroshi; and Matsumoto, Takuya 12002495 Cl. G11B 5/012.
Matsumoto, Tohru: See--
Yamazaki, Kimiharu; Makino, Hideyo; Mikajiri, Susumu; Matsumoto, Tohru; Nakayama, Satoshi; Aoyagi, Kohta; Ebinuma, Ryosuke; and Ishii, Tatsuya 12003678 Cl. H04N 1/00909.
Matsumoto, Tomohiro; Oike, Yusuke; Sekiya, Akito; Yamagishi, Hiroyuki; and Ikegaya, Ryoji, to SONY CORPORATION Signal processing circuit, signal processing device, and signal processing method to suppress power consumption 12001810 Cl. G06F 7/5443.
Matsumoto, Yusuke: See--
Koseoglu, Omer Refa; Hodgkins, Robert Peter; Matsumoto, Yusuke; Uchida, Koji; and Kojima, Naoya 11998898 Cl. B01J 29/166.
Matsumura, Kazunori; and Kawakami, Akio, to Kowa Company, Ltd. Ophthalmic photographing apparatus 11998274 Cl. A61B 3/112.
Matsumura, Yuki: See--
Harada, Hiroki; Takeda, Kazuki; and Matsumura, Yuki 12004171 Cl. H04W 72/23.
Matsunaga, Kazuyuki; and Iijima, Ryota, to HITACHI-JOHNSON CONTROLS AIR CONDITIONING, INC. Scroll compressor and refrigeration cycle device 12000395 Cl. F04C 18/0261.
Matsunobu, Toru: See--
Teranishi, Kensho; Matsunobu, Toru; Sugio, Toshiyasu; Yoshikawa, Satoshi; and Fukuda, Masaki 12002152 Cl. G06T 17/00.
Matsuo, Hiroaki; to SONY SEMICONDUCTOR SOLUTIONS CORPORATION Solid-state imaging element and solid-state imaging apparatus 12002826 Cl. H01L 27/14614.
Matsuo, Yoshikazu: See--
Morosawa, Ryo; Liu, Haisong; Nakajima, Akira; Okuma, Kenji; Maruyama, Hiroaki; Matsuo, Yoshikazu; Higashi, Shuto; and Yamaguchi, Fumiaki 11999293 Cl. B60Q 5/005.
Matsuoka, Jun: See--
Ozaki, Ryota; Yamaguchi, Sho; Matsuoka, Jun; and Iwanaga, Tomoya 11999114 Cl. B29C 70/30.
Matsuoka, Masaru; Yamaguchi, Takahiro; Kajiyama, Kenichi; and Noda, Yuki, to PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD. Electrostatic atomizing system, and method for fault detection in electrostatic atomizing system 11998941 Cl. B05B 5/032.
Matsushima, Toshiharu; to JAPAN DISPLAY INC. Display system and vehicle 12001089 Cl. G02F 1/1323.
Matsushita, Tadashi: See--
Ito, Takafumi; Matsushita, Tadashi; Higuchi, Toshiro; Chee, Sze Keat; and Mizuno, Yoshinobu 12004430 Cl. H10N 30/88.
Matsuzaki, Natsume: See--
Unagami, Yuji; and Matsuzaki, Natsume 12001444 Cl. G06F 16/248.
Matsuzaki, Takashi: See--
Shimamura, Yutaka; Matsuzaki, Takashi; and Watanabe, Toshihiko 12000611 Cl. F24F 11/74.
Matsuzawa, Kazuya: See--
Takahashi, Ryuji; and Matsuzawa, Kazuya 12003236 Cl. H03K 19/00338.
Mattar, Steve: See--
Bregman, Arie; and Mattar, Steve 12001327 Cl. G06F 11/3688.
Matteo, Joseph C; Derenchuk, Vladimir; Moore, Ron; Shamblin, Jacob; and Jacques, Aaron, to ProNova Solutions, LLC Energy selection system for compact proton therapy 11998763 Cl. A61N 5/1077.
Matteson, Luke: See--
Williams, Gregory; Fajman, Dan; Moran, Robert J.; and Matteson, Luke 12000134 Cl. E03F 5/14.
Matthews, Robert E.; O'Connell, Todd; and Romer, Douglas, to MediSync Inc. Artificial intelligence systems that incorporate expert knowledge related to hypertension treatments 12002586 Cl. G16H 50/20.
Mattson, Elizabeth A.: See--
Sheldon, Todd J.; Mattson, Elizabeth A.; Williams, Eric R.; Yang, Zhongping; and Campbell, Shawn M. 11998750 Cl. A61N 1/371.
Mattson Technology, Inc.: See--
Long, Maolin 12002701 Cl. H01L 21/6833.
Savas, Stephen E.; and Ma, Shawming 12002652 Cl. H01J 37/32183.
Mauder, Anton: See--
Bina, Markus; Barrenscheen, Jens; and Mauder, Anton 12003231 Cl. H03K 17/567.
Maui Imaging, Inc.: See--
Specht, Donald F.; and Brewer, Kenneth D. 11998395 Cl. A61B 8/5246.
Maurer, Christopher: See--
Mershin, Andreas; Maurer, Christopher; Stathatou, Patritsia Maria; and Cameron-Kirksmith, Carolyn Margaret 11997956 Cl. A01G 18/00.
Maurer, Dominik: See--
Alten, Leonie; Bunk, Sebastian; Maurer, Dominik; and Wagner, Claudia 11998607 Cl. A61K 47/55.
Maurer, George R.: See--
Gilligan, James P.; Maurer, George R.; Railkar, Aniruddha M.; Bauer, Phillip; Daggs, Thomas A.; and Shields, Paul P. 11998640 Cl. A61K 9/2886.
Maurer, Jr., Calvin: See--
Kilby, Warren; Jordan, Petr; Noll, John; and Maurer, Jr., Calvin 11998761 Cl. A61N 5/1075.
Maurissens, Daniel Auguste; to DETNET SOUTH AFRICA (PTY) LTD Energy efficient wireless detonator system 12000685 Cl. F42D 1/055.
Mauro, John Christopher: See--
Deng, Huayun; Fu, Qiang; Mauro, John Christopher; and Snyder, Michael Joshua 11999653 Cl. C03C 3/097.
Maury, Charles: See--
Lewis, Richard L; Kuhn, Damon; Maury, Charles; Loehr, Sean; and Maury, James 12004425 Cl. H10N 10/13.
Maury, James: See--
Lewis, Richard L; Kuhn, Damon; Maury, Charles; Loehr, Sean; and Maury, James 12004425 Cl. H10N 10/13.
Maus, Joachim: See--
Zanardi, Andrea; Cercaci, Alessandra; Montaldo, Ivan; and Maus, Joachim 11998517 Cl. A61K 31/19.
Mavenir Systems, Inc.: See--
Guchhait, Atanu; Kapoor, Prashant; Lourdu Raja, Charles Santhosam; and Nandan, Nibedita 12003433 Cl. H04L 5/0023.
Mavropoulos, Anastasia: See--
Loboda, Alexander V.; Ornatsky, Olga; Baranov, Vladimir; Zabinyakov, Nikita; Mavropoulos, Anastasia; Majonis, Daniel; Allo, Bedilu; and Closson, Taunia 12000838 Cl. G01N 33/6848.
Max, Stephan; and Fangwa Nzeya, Edson William, to VOLKSWAGEN AKTIENGESELLSCHAFT Method for collection of transportation vehicle-based, location-related data records 12000709 Cl. G01C 21/3492.
Maxam, Anna: See--
Hollenbeck, Adam; Chaudhry, Asher; Sundarraj, Dilip; Sternberg, Joakim; Maxam, Anna; and Crowe, Nathaniel 12001994 Cl. G06Q 10/0833.
MAXELL, LTD.: See--
Yoshizawa, Kazuhiko; Sakamoto, Tetsuya; Suzuki, Motoyuki; Hashimoto, Yasunobu; Kabuto, Nobuaki; and Inata, Keisuke 12003813 Cl. H04N 21/4402.
Maxfield, B. Scott: See--
Mittanck, Travis; Maxfield, B. Scott; Moss, N. Ryan; and Miner, Steven S. 12000211 Cl. E06C 1/393.
MAXIM INTEGRATED PRODUCTS, INC.: See--
Liu, Wuguang; and Merkel, Stewart 12003346 Cl. H04L 12/40045.
Lovell, Mark Alan; and Muchsel, Robert Michael 12001262 Cl. G06F 1/3234.
Teterwak, Jerzy A. 12003612 Cl. H04L 7/033.
MaxLinear, Inc.: See--
Lu, Ying; and Kinder, Richard 12004145 Cl. H04W 72/12.
Uhlemann, Stefan 12002277 Cl. G06V 40/10.
Maxwell, John P.: See--
Cottrell, Kevin M.; and Maxwell, John P. 11999727 Cl. C07D 417/14.
Mayalu, Michaelle N.: See--
Ma, Yitong; Budde, Mark W.; Mayalu, Michaelle N.; and Elowitz, Michael B. 11999964 Cl. C12N 15/85.
Maybell Quantum Industries, Inc.: See--
Tillemann-Dick, Corban I.; Thompson, Kyle J.; and Choo, Bryan J. 12000640 Cl. F25B 9/12.
Mayberry, Michael T.: See--
Kielsmeier, Nicholas; Nakayama, Brian L.; Fiester, Jeremy M.; and Mayberry, Michael T. 12000671 Cl. F41C 23/04.
Mayer, David William: See--
Garton, Chadd Nathaniel; Mayer, David William; Peterson, Martha Geoghegan; Lankston, II, Robert Jason; and Tang, Xudong 12000514 Cl. F16L 37/22.
Mayer, Klaus: See--
Brinkmann, Ulrich; Schaefer, Wolfgang; and Mayer, Klaus 11999801 Cl. C07K 16/468.
Mayer, Martin: See--
Li, Wu Hu; Hellwig, Raphael; Hohlfeld, Olaf; Mayer, Martin; and Nikitin, Ivan 12002724 Cl. H01L 23/142.
Maylor, Jackie Anne: See--
Tyler, Simon Paul; Borenstein, Nathaniel S.; Maylor, Jackie Anne; da Silva, Carlos; Slote, Kevin; Roitblat, Herbert L.; Buetow, Florian P.; and Bamford, Chris 12001544 Cl. G06F 21/53.
Mayne, Stephen System and method for authentication using non-fungible tokens 12003642 Cl. H04L 9/3226.
Mayo Foundation for Medical Education and Research: See--
Cumba-Garcia, Luz M.; and Parney, Ian F. 12000834 Cl. G01N 33/57488.
Mayr Adam, Ana Carolina: See--
Guth, Thomas; Froewis, Annett; Huber, Birgit; Haas, Günter; and Mayr Adam, Ana Carolina 12000694 Cl. G01B 21/20.
Mazar, Scott: See--
Stubbs, Scott; Libbus, Imad; Mazar, Scott; KenKnight, Bruce; and Amurthur, Badri 11998747 Cl. A61N 1/36139.
Mazen, Frédéric: See--
Rieutord, François; Mazen, Frédéric; Landru, Didier; Kononchuk, Oleg; and Ben Mohamed, Nadia 12002697 Cl. H01L 21/67288.
Mazich, Ken: See--
Sweet, David; Czaplicki, Michael; Mazich, Ken; Lu, Yuan; Hicks, Kevin; and O'Connor, Austin 11999866 Cl. C09D 171/00.
Mazloum, Nafiseh; Ljung, Rickard; and Priyanto, Basuki, to Sony Group Corporation Method for control signaling in a wireless communication system 12004178 Cl. H04W 72/23.
Mazumdar, Abhijit: See--
Sanders, Martin E.; Brown, Powel H.; Moyer, Cassandra; and Mazumdar, Abhijit 11998521 Cl. A61K 31/216.
Mazumder, Prantik: See--
Adib, Kaveh; Bhattacharyya, Indrani; Chiang, Pei-Chen; Choi, Hong-goo; Kim, Dae youn; Lin, Jen-Chieh; Mazumder, Prantik; and Tseng, Pei-Lien 11999135 Cl. B32B 17/1055.
Mazur, David C.; Entzminger, Rob A.; Mills, Jonathan Alan; and McCleave, Jr., Bruce T., to Rockwell Automation Technologies, Inc. Symbolic access of industrial device systems and methods 12001196 Cl. G05B 19/41845.
Mazur, Pavlo: See--
Bedadala, Pavan Kumar Reddy; Gokhale, Parag; Mazur, Pavlo; Varadharajan, Prakash; Varsheny, Ankur; Venugopalsamy, Gopikannan; and Dos Reis Mansano, Marcelo 12001295 Cl. G06F 11/1464.
Mazza, Arnon: See--
Orbach, Eyal; Faizakof, Avraham; Mazza, Arnon; and Haikin, Lev 12001797 Cl. G06F 40/289.
Mazzarella, Joseph R.: See--
Wengrovitz, Michael S.; Mazzarella, Joseph R.; and Setlur, Anand 12003492 Cl. H04L 63/064.
Mazze, Roger Steven: See--
Southerland, III, Harold Philpott; Furneaux, Todd; Frias, Juan Pablo; and Mazze, Roger Steven 11998324 Cl. A61B 5/14532.
Mazzeo, Brian A.; and Guthrie, William Spencer, to Brigham Young University (BYU) Contact elements for acoustic excitation 12000796 Cl. G01N 29/045.
Mazzocchi, Rudy A.: See--
Geissler, Randolph Keith; Mazzocchi, Rudy A.; Chacón Quirós, Juan José; and Lewis, Steven A. 12001904 Cl. G06K 19/02.
Mazzola, Nicolas Cardoso; Biswas, Sanjib; deGroot, Jacquelyn A.; and Gillespie, David T., to Dow Global Technologies LLC Multilayer thermoplastic film with improved puncture resistance performance 11999139 Cl. B32B 27/08.
Mazzoni, Justin M.: See--
Hebrink, Timothy J.; Maki, Stephen P.; Hoyle, Charles D.; Oxman, Joel D.; Scholz, Matthew T.; Mazzoni, Justin M.; Griffin, Michael E.; and Hamlin, Anna C. 12001036 Cl. G02B 5/208.
MBDA UK LIMITED: See--
Hayes, David John Richard; and Cronk, Richard William 12000684 Cl. F42B 15/34.
MCAFEE, LLC: See--
Biswas, Shuborno; Natarajan, Annapoorani; Rao, Balaji; Roy, Christopher; and A.J, Dipeka 12001854 Cl. G06F 9/44505.
Kulkarni, Dattatraya; Srivastava, Himanshu; Vardhan, Raj; Sinha, Raja; Nalluri, Srikanth; and Konda, Tirumaleswar Reddy 12001558 Cl. G06F 21/57.
McAlister, Jordan Ashleigh: See--
Bungert, John; Luciani, Terrance; O'Mara, Andrew; and McAlister, Jordan Ashleigh 12002057 Cl. G06Q 20/4097.
McAuliffe, Mark L.: See--
Coleman, Gordon James; Bernat, Andrew R.; Kirkpatrick, Peter E.; McAuliffe, Mark L.; Blanchard, Eric Kelly; Scholbrock, Benjamin; and DeWitt, Zoltan 12001684 Cl. G06F 3/0619.
McBrady, Adam D.: See--
Brown, Andy Walker; McBrady, Adam D.; Zakaria, Ryadh Abdullah; and Bork, Stephan Michael 12000768 Cl. G01N 1/2273.
McBride, Daniel Kevin: See--
Strom, Clifford Paul; McBride, Daniel Kevin; Ramakrishnan, Arvind; Borse, Yashraj Motilal; and Pattekar, Chittaranjan 12001524 Cl. G06F 21/12.
McBride, Troy: See--
Lynch, Jonathan; McBride, Troy; Stettenheim, Joel; Edstrom, Per Erik Kristoffer; Johnson, Leif Kilkenny; and Brambles, Oliver James 12000369 Cl. F03C 1/002.
McBroom, Danny L.: See--
Leclerc, Michael E.; Degner, Brett W.; McBroom, Danny L.; Narajowski, David H.; Endisch, Denis H.; Laurent, Kristopher P.; and Trivett, Simon J. 12000524 Cl. F16M 11/045.
McCabe, Brian; and Rego, Wilfredo, to G4S Retail Solutions (USA) Inc. Cloud-based cash inventory management for on-premises cash handling devices 12002319 Cl. G07D 11/23.
McCaffrey, Michael G.; to RTX CORPORATION Vane arc segment with single-sided platforms 12000306 Cl. F01D 5/282.
McCallister, Janet: See--
Doyle, III, Vincent; Rhodes, Robert Barnett; Ragans, Gina Marie; David, Sameer Sunilkumar; Owens, Marne Lynn; Sanderson, David Charles; McCallister, Janet; and Pitts, Lisa Ann 12001749 Cl. G06F 3/1454.
McCammon, Scott N.: See--
Sanders, Aaron; Gregory, William Scott; and McCammon, Scott N. 12001527 Cl. G06F 21/31.
McCann, Leena; Wallace, Stacey Ellen; Lai, Edwin Wei-Lung; and Higuchi, Russell, to Cepheid Methods of detecting bladder cancer 12000001 Cl. C12Q 1/6886.
McCarron, Christopher W.: See--
Mueller, Ulrich; Gershaft, Aleksandr Mikhailovich; McCarron, Christopher W.; and Jubran, Marwan E. 12003638 Cl. H04L 9/30.
McCarron, Paul: See--
El-Tanani, Mohamed; McCarron, Paul; and Faheem, Ahmed 11999770 Cl. C07K 14/4703.
McCarthy, John Charles: See--
Sharratt, Andrew P.; and McCarthy, John Charles 11999690 Cl. C07C 67/38.
McCarthy, Jr., James E.; and Dorobantu, Mihai, to EATON INTELLIGENT POWER LIMITED Aftertreatment heat up strategies in vehicles with hybrid powertrains 11999341 Cl. B60W 20/16.
McCarthy, Sean Thomas: See--
Atkins, Robin; Yin, Peng; Lu, Taoran; Pu, Fangjun; McCarthy, Sean Thomas; Husak, Walter J.; Chen, Tao; and Su, Guan-Ming 12003741 Cl. H04N 19/31.
McCarthy, William; and Milligan, Scott Bradley, to SEMINIS VEGETABLE SEEDS, INC. Pepper hybrid SVPB8500 and parents thereof 11997980 Cl. A01H 6/82.
McCausland, James Charles: See--
Garg, Anurag; Cosby, Douglas Ray; and McCausland, James Charles 12001415 Cl. G06F 16/2246.
McClanahan, David D.: See--
Olsen, Thomas M.; and McClanahan, David D. 11997992 Cl. A01K 61/59.
McClarin, Curtis: See--
You, Zhifu; Polomski, Steve; McClarin, Curtis; Otto, Jason; and Abbasi, Abdullah 11999065 Cl. B25J 9/1664.
McCleave, Jr., Bruce T.: See--
Mazur, David C.; Entzminger, Rob A.; Mills, Jonathan Alan; and McCleave, Jr., Bruce T. 12001196 Cl. G05B 19/41845.
McClellan, Troy: See--
Mueller, Ingo; and McClellan, Troy 11997962 Cl. A01G 31/06.
McClennan, Scott: See--
Campbell, Ian; Diestelhorst, Ryan; Oster-Morris, Joshua; Freed, David M.; and McClennan, Scott 12001883 Cl. G06F 9/50.
McClintock, Kevin: See--
Sawal, Vinay; Yadav, Ratnesh; and McClintock, Kevin 12001312 Cl. G06F 11/3433.
McClinton, Roy G.: See--
Zock, Michael A.; and McClinton, Roy G. 12000098 Cl. E01F 7/02.
McCollough, Thomas: See--
Shi, Zhuochen; and McCollough, Thomas 12000642 Cl. F25C 5/02.
McConnell, Bruce; Vigsnæs, Louise Kristine; and Kronlage, David Paul, to GLYCOM A/S Synthetic composition for treating antibiotic associated complications 11998558 Cl. A61K 31/702.
McConnell, David: See--
Pimentel, Katherine Urena; Poteet, Steven A.; Martz, Thomas; McConnell, David; Pujar, Vijay V.; and Rexwinkle, Irene 12000696 Cl. G01B 7/085.
McCord, Benjamin: See--
LittleSun, Joshua; Owen, Thomas J.; McCord, Benjamin; and Cote, Scott 12002274 Cl. G06V 30/199.
McCormick, John; and Sripathi, Arjun, to Freedom Financial Network LLC Network computing system to provide account management services for planning user actions 12002087 Cl. G06Q 40/03.
McCormick, Martin S.; Larsson, Torbjorn; Tamrat, Alazar; Strait, Jeffrey C.; Chen, Chen; Treigherman, Philip J.; Roche, Stephan O.; and Gottula, Ronald, to Space Exploration Technologies Corp. Configurable orthogonal frequency division multiplexing (OFDM) signal and transmitter and receiver for user terminal to satellite uplink communications 12003350 Cl. H04L 25/0202.
McCormick, Patrick M.: See--
Ravenscroft, Gerald Brandon; McCormick, Patrick M.; Blunt, Shannon D.; Perrins, Erik S.; and Metcalf, Justin G. 12000949 Cl. G01S 7/006.
McCoy, Clayton J.: See--
Lui, Timothy S.; Yabe, Osamu; Masse, Zebinah P.; McCoy, Clayton J.; Stevenson, Benjamin A.; and Chen, Hsiang Hung 11998091 Cl. A44C 5/145.
MCCOY GLOBAL INC.: See--
Sonnier, Gareth Dustin; Deng, Bing; Chism, Richard; and Dmitriev, Andrei 12000269 Cl. E21B 47/12.
McCoy, Travis: See--
Chao, Jimmy Lee; Jagannathan, Vishal; Mesina, Eugene; and McCoy, Travis 12002462 Cl. G10L 15/22.
McCrea, Trent: See--
Schilling, Brian; and McCrea, Trent 11998011 Cl. A01N 43/653.
McCutcheon, Peter; to AMS AG Noise cancellation system and signal processing method for an ear-mountable playback device 12002447 Cl. G10K 11/17854.
McDaniel, Aaron M.; O'Neill, Nathan P.; Doshi, Nirmal; Tang, Yuxing; and Colwill, Robert Jerome, to Amazon Technologies, Inc. Detecting interactions with storage units based on RFID signals and auxiliary signals 12002337 Cl. G08B 13/1472.
McDaniel, Max P.: See--
Cruz, Carlos A.; Monwar, Masud M.; McDaniel, Max P.; Barr, Jared; Clear, Kathy S.; and Ellis, William C. 11999679 Cl. C07C 29/72.
McDaniel, Max P.; Clear, Kathy S.; Yang, Qing; and Crain, Tony R., to Chevron Phillips Chemical Company LP Processes for producing fluorided solid oxides and uses thereof in metallocene-based catalyst systems 11998902 Cl. B01J 37/0209.
McDaniel, Max P.; Ash, Carlton E.; Clear, Kathy S.; Schwerdtfeger, Eric D.; Cruz, Carlos A.; and Praetorius, Jeremy M., to Chevron Phillips Chemical Company LP Particle size control of supported chromium catalysts in loop slurry polymerization reactors 11999807 Cl. C08F 10/02.
McDaniel, Max P.; Yang, Qing; Rose, Ryan N.; Clear, Kathy S.; Lief, Graham R.; Schwerdtfeger, Eric D.; Ramanathan, Anand; Praetorius, Jeremy M.; and Boxell, Connor D., to Chevron Phillips Chemical Company LP Modifications of sulfated bentonites and uses thereof in metallocene catalyst systems for olefin polymerization 11999814 Cl. C08F 4/025.
McDivitt, Eric: See--
Keyer, Thomas; Capozzoli, Joseph; and McDivitt, Eric 11998246 Cl. A61B 17/7037.
McDonald, Brian M.: See--
Connor, Jr., Michael James; McDonald, Brian M.; Demeter, Ethan; and Beales, Thomas 11998876 Cl. B01D 61/485.
McDonald, Daniel J; and Frandsen, Svend, to MOTOROLA SOLUTIONS, INC. Method and system for providing a fallback solution in a multi-tenant communication system 12004037 Cl. H04W 36/305.
McDonald, Harley C.; Bailey, James L.; and McDonald, Matthew C., to Falcon Power, LLC Cascade MosFet design for variable torque generator/motor gear switching 12003146 Cl. H02K 11/28.
McDonald, John L.; to Rawhide Portable Corral, Inc. Portable corral with shiftable rack to support panels 11997990 Cl. A01K 3/001.
McDonald, Lucas: See--
Patel, Ujjval; Du, Xiaodan; and McDonald, Lucas 12001997 Cl. G06Q 10/0833.
McDonald, Matthew C.: See--
McDonald, Harley C.; Bailey, James L.; and McDonald, Matthew C. 12003146 Cl. H02K 11/28.
McDonald, Rebecca: See--
Stasko, Nathan; Emerson, David T.; Cockrell, Adam; Hunter, F. Neal; Bergmann, Michael John; McDonald, Rebecca; Medendorp, Jr., Nicholas William; Negley, Gerald H.; and Reighard, Katelyn P. 11998758 Cl. A61N 5/0613.
McDonald, Steven Philip: See--
Cruz, Angela Noelani; King, Mark Edward; and McDonald, Steven Philip 11999494 Cl. B64D 25/18.
McDonnell, Michael T.: See--
Day, Cameron J.; Hobbs, Bryce W.; Roach, Ryan L.; McDonnell, Michael T.; and Yagley, Michael S. 11998810 Cl. A63B 53/0433.
McDowall, Ian E.: See--
Abbott, Ryan Charles; Steger, John Ryan; Gomez, Daniel H.; McDowall, Ian E.; and Kerdok, Amy 11998292 Cl. A61B 34/35.
DiCarlo, Jeffrey M.; and McDowall, Ian E. 12002208 Cl. G06T 7/0014.
McEldowney, Scott Charles: See--
Lee, Yun-Han; Shi, Yu; Lu, Lu; and McEldowney, Scott Charles 12001017 Cl. G02B 27/0093.
McElroy, Clarence P.: See--
Gali, Jyothi P.; Bozich, Richard C.; Gupta, Nikhil; Hodgman, Daniel W.; Phillips, Timothy M.; and McElroy, Clarence P. 12001213 Cl. G05D 1/0214.
McEwen, Jason M.; to Bruker Cellular Analysis, Inc. Nucleic acid stabilization reagent, kits, and methods of use thereof 11999992 Cl. C12Q 1/6806.
McFaddin, Elizabeth A.: See--
Andrews, Steven W.; Aronow, Sean; Blake, James F.; Brandhuber, Barbara J.; Cook, Adam; Haas, Julia; Jiang, Yutong; Kolakowski, Gabrielle R.; McFaddin, Elizabeth A.; McKenney, Megan L.; McNulty, Oren T.; Metcalf, Andrew T.; Moreno, David A.; Tang, Tony P.; and Ren, Li 11998545 Cl. A61K 31/496.
McFarland, Frank: See--
Kaeppler, Shawn; Kaeppler, Heidi; Petersen, Michael William; Martinell, Brian Joseph; and McFarland, Frank 11998007 Cl. A01N 3/00.
Petersen, Michael W.; Williams, Edward James; Harnish, Robert; Kaeppler, Heidi Flewelling; Martinell, Brian; Collier, Ray; McFarland, Frank; and Kaeppler, Shawn Michael 11999958 Cl. C12N 15/8201.
McFarland, Jr., Stephen Paul; Patne, Satyajit P.; and Ludwin, Albert Scott, to TOYOTA MOTOR NORTH AMERICA, INC. Detection of aberration on transport 12004118 Cl. H04W 64/006.
McFarlin, Kevin L.: See--
Cantwell, Matthew L.; Li, Wenjeng; McFarlin, Kevin L.; and Narasimhan, Anirudhan 11998337 Cl. A61B 5/24.
McGavran, Christine; Bukowski, Richard William; Klingner, Bryan; Arfvidsson, Joakim Kristian Olle; and Lookingbill, Andrew, to GOOGLE LLC Topological basemodel supporting improved conflation and stable feature identity 12001459 Cl. G06F 16/29.
McGhee, Ryan W.: See--
Rector, Jason M.; Shelton, IV, Frederick E.; McGhee, Ryan W.; Moser, Sean J.; Harris, Jason L; and Pathak, Shashi S. 11998192 Cl. A61B 17/0644.
MCGINLEY ENGINEERED SOLUTIONS, LLC: See--
McGinley, Joseph C.; Russell, Matthew V.; Palazzolo, Vincent; Warren, Ben; and Johnson, Adam M. 11998257 Cl. A61B 17/8872.
McGinley, Joseph C.; Russell, Matthew V.; Palazzolo, Vincent; Warren, Ben; and Johnson, Adam M., to MCGINLEY ENGINEERED SOLUTIONS, LLC Techniques and instruments for placement of orthopedic implants relative to bone features 11998257 Cl. A61B 17/8872.
McGinnis, David Wyett Passenger side driving instructor brake controller 11999332 Cl. B60T 7/102.
McGloughlin, Elizabeth: See--
Keogh, Ivan; O′Callaghan, Rory; McGloughlin, Elizabeth; Gallagher, Martin; and Walsh, Christina 11998177 Cl. A61B 1/227.
McGovern, Paul: See--
Hosseini, Ali; MacCready, Christopher David; O'Malley, Kendra; Karasic, Geoffrey Ian; Qi, Zenan; Hall, Benjamin Michael; Liu, Chun; McGovern, Paul; and Yeoh, Han Teik 11998186 Cl. A61B 17/0401.
McGrath, Robert: See--
Fitzpatrick, Brian C.; and McGrath, Robert 12003858 Cl. H04N 23/695.
McIntire, Michael Sean: See--
Brown, Douglas Paul; McIntire, Michael Sean; and Agarwal, Prama 12001430 Cl. G06F 16/24542.
McIntyre, Ross: See--
Harvey, Kyle; McIntyre, Ross; Halverson, Michael; Mackey, Eric; and Dorman, Justin 12000572 Cl. F21V 21/06.
McKain, Jennie F.: See--
Baust, John M.; Smith, Joshua T.; Robilotto, Anthony T.; and McKain, Jennie F. 12000536 Cl. F17C 1/00.
McKee, Bret Alan; Mellquist, Peter Erik; and Roeling, Frederick Miles, to Hewlett Packard Enterprise Development LP Container-as-a-service (CAAS) controller for private cloud container cluster management 12001865 Cl. G06F 9/45541.
McKeen, Francis: See--
Unterluggauer, Thomas; Alameldeen, Alaa; Constable, Scott; Liu, Fangfei; McKeen, Francis; Rozas, Carlos; and Trikalinou, Anna 12001346 Cl. G06F 12/14.
McKeever, James K.: See--
Dayalan, Udhaya Kumar; and McKeever, James K. 12001833 Cl. G06F 8/65.
McKenney, Megan L.: See--
Andrews, Steven W.; Aronow, Sean; Blake, James F.; Brandhuber, Barbara J.; Cook, Adam; Haas, Julia; Jiang, Yutong; Kolakowski, Gabrielle R.; McFaddin, Elizabeth A.; McKenney, Megan L.; McNulty, Oren T.; Metcalf, Andrew T.; Moreno, David A.; Tang, Tony P.; and Ren, Li 11998545 Cl. A61K 31/496.
McKenzie, Lachlan: See--
Tønnessen, Leif Arne; and McKenzie, Lachlan 12000246 Cl. E21B 43/01.
Mckeon, Matthew; Shalabi, Sami Mohammed; Shore, Maurice Bennett; and Yaar, Abraham Michael, to GOOGLE LLC Dynamic insertion of content items into resources 12002075 Cl. G06Q 30/0277.
McKibben, Nicholas James: See--
Bapat, Sushrut; Grushkowitz, Tyler; McKibben, Nicholas James; and Wares, Brian 12003208 Cl. H02S 20/32.
McKinnell, James: See--
Kasperchik, Vladek; McKinnell, James; Shaarawi, Mohammed S.; Monroe, Michael G.; and Hower, Jason 11998977 Cl. B22F 1/10.
McKinney, Richard: See--
Gibson, Sarah; and McKinney, Richard 12003258 Cl. H04B 1/034.
McKinzie, Christopher W.: See--
Hochstatter, Thomas G.; Leonard, John; and McKinzie, Christopher W. 12002092 Cl. G06Q 40/03.
McKnight, Andrew John: See--
Horlick, Robert A.; King, David J.; and McKnight, Andrew John 11999783 Cl. C07K 16/244.
McLauchlan, Raymond Bruce; Moody, II, Eugene Francis; Jadhav, Pramod Dnyaneshwar; Boychuk, Robert; Hermann, Sascha; and Huseyin, Mustafa, to Eaton Intelligent Power Limited Pressure relief assembly and a valve assembly that uses the pressure relief assembly 11999225 Cl. B60K 15/03519.
Mclaughlin, Colm: See--
Howard, George; Himmelberger, James; Gray, Jason; Mclaughlin, Colm; Hansell, Noah; and Weiman, Mark 11998454 Cl. A61F 2/4465.
McLaughlin, Mark Ronald: See--
Young, Jenny; Cox, Daniel; Ingham, Steven David; Johnson, Kyle Alexander; McLaughlin, Mark Ronald; and Lai, Paul Hungwai 11999464 Cl. B64C 1/26.
Mclaughlin, Patrick J.: See--
Liedtke, Kevin; Hearn, James R.; Dubal, Scott P.; Oliver, Jeffery; Mclaughlin, Patrick J.; Shiddibhavi, Sharada Ashok; Osawa, Daniel K.; Couch, Kelly J.; and Plucinski, Maciej 12001826 Cl. G06F 8/65.
McLean, Scott: See--
Smutney, Chad C.; Kinsey, P. Spencer; Sahi, Carl R.; Adamo, Benoit; Polidoro, John M.; McLean, Scott; Overfield, Dennis; and Bryant, Anthony 11998683 Cl. A61M 15/0045.
McLellan, Andrew Stephen: See--
Yadegari, Andrew Barbod; and McLellan, Andrew Stephen 11998490 Cl. A61G 13/1235.
McLendon, Darren M.: See--
Ijasan, Olabode; and McLendon, Darren M. 12000279 Cl. E21B 49/088.
McMillan, David Thomas; Titus, Travis Styron; Adamkovics, Peter; and Heimbuck, Gregory Keith, to Carefree/Scott Fetzer Company Drop-in rollbar for use in awning system 12000150 Cl. E04F 10/0633.
McMillan, F. Gavin; to Nielsen Company (US), LLC, The Methods and apparatus to correlate census measurement data with panel data 12003799 Cl. H04N 21/25883.
McNally, John; and Slee, Nicholas David, to Vertiv Corporation Battery cabinet with flame protection/management construction 12002985 Cl. H01M 50/394.
McNamara, Conor; Mutch, Martin; and Burga, Jeff, to Helen of Troy Limited Poppet lid 11999537 Cl. B65D 47/248.
McNamara, Jason: See--
Brady, Eamon; Gilvarry, Michael; Razavi, Mahmood K.; Vale, David; Griffin, Patrick; Casey, Brendan; and McNamara, Jason 11998223 Cl. A61B 17/221.
McNeeley, Patricia: See--
Watkins, Jeffry D.; Dickerson, Cindy T.; Rojas, Rafael; Reissman, Matthew; McNeeley, Patricia; Bilsborough, Janine; Henkle, Bradley; and Targan, Stephan R. 11999789 Cl. C07K 16/2875.
McNulty, Oren T.: See--
Andrews, Steven W.; Aronow, Sean; Blake, James F.; Brandhuber, Barbara J.; Cook, Adam; Haas, Julia; Jiang, Yutong; Kolakowski, Gabrielle R.; McFaddin, Elizabeth A.; McKenney, Megan L.; McNulty, Oren T.; Metcalf, Andrew T.; Moreno, David A.; Tang, Tony P.; and Ren, Li 11998545 Cl. A61K 31/496.
McNutt, Gregory: See--
Zhuravlev, Sergey; Neelakantam, Naveen; McNutt, Gregory; and Frandzel, Yuval 12001726 Cl. G06F 3/067.
MCP IP, LLC: See--
McPherson, Mathew A. 12000668 Cl. F41B 5/105.
McPherson, Mathew A.; and Ozanne, Jeffrey A. 12000669 Cl. F41B 5/123.
McPherson, Mathew A.; to MCP IP, LLC Archery bow with pass through cabling 12000668 Cl. F41B 5/105.
McPherson, Mathew A.; and Ozanne, Jeffrey A., to MCP IP, LLC Archery bow with wide ratio limb 12000669 Cl. F41B 5/123.
McQuillan, Blake: See--
Lee, Rocky; Zhu, Tiancheng; and McQuillan, Blake 12003471 Cl. H04L 51/216.
McQuillan, Darren: See--
Wang, Jin; and McQuillan, Darren 12000375 Cl. F03D 13/126.
McSweeney, Shannon Marie: See--
Richards, Joshua Thomas; Cody, Thomas Edward Kingsborough; Bailey, Steven Luke; McSweeney, Shannon Marie; and Innes, Daniel John 11998098 Cl. A45D 20/124.
McTarsney, Joseph: See--
Wertz, Christian F.; Chen, Tzehaw; and McTarsney, Joseph 11998548 Cl. A61K 31/506.
McTeer, Everett A.: See--
Greenlee, Jordan D.; Xu, Lifang; Klein, Rita J.; Li, Xiao; and McTeer, Everett A. 12002759 Cl. H01L 23/53266.
McTeggart, Ralph: See--
Millar, Stuart; and McTeggart, Ralph 12003362 Cl. H04L 41/06.
McWeeney, John; Ryou, Marvin; Cantillon-Murphy, Padraig; Lang, Jeffrey H.; and Thompson, Christopher, to G.I. Windows, Inc. Methods and apparatus for magnet-induced compression anastomosis between adjacent organs 11998207 Cl. A61B 17/11.
Meakin, Robert John; and Lewis, Timothy David, to YORK POTASH LTD Composite fertiliser systems 11999665 Cl. C05C 9/005.
MEAS France: See--
Leger, Vincent; and Vidal, Yannick 12000746 Cl. G01L 5/0038.
Vignolles, Arthur; and LeClair, Jean-Pierre 12000745 Cl. G01L 3/108.
MECHANO TRANSFORMER CORPORATION: See--
Ito, Takafumi; Matsushita, Tadashi; Higuchi, Toshiro; Chee, Sze Keat; and Mizuno, Yoshinobu 12004430 Cl. H10N 30/88.
MECHSOFT TECHNOLOGY (U.S.A.) CO., LLC: See--
Tang, Chunan; Zhao, Jian; Yang, Juying; Ma, Tianhui; Wang, Sijing; and Tang, Mu 12000626 Cl. F24T 10/30.
Meck, Nacéra Sabrina; Bergstrom, David S.; Dunn, John J.; and Berry, David C., to ATI Properties LLC Methods of making corrosion
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Deed recordings for the week of Sept. 15-19
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The Daytona Beach News-Journal publishes deed recordings supplied by the Volusia and Flagler County Clerks of Court. The listing is limited to properties that sell for $75,000 or more.\u0090 \n Bunnell Gio…
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The Daytona Beach News-Journal
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https://www.news-journalonline.com/story/news/2014/10/12/deed-recordings-for-the-week-of-sept-15-19/30718836007/
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The Daytona Beach News-Journal publishes deed recordings supplied by the Volusia and Flagler County Clerks of Court. The listing is limited to properties that sell for $75,000 or more.
Bunnell
Gioia Properties LLC to Ajram, Colleen M., Part of Section 11-12-30, $165,000. Flagler Habitat For Humanity Inc. to Owens, Carmen, Lot 10, Block 96, Daytona North, $108,000. Venson, David E. to Lehman McMath, Laura J., Lot 8, Block 12, Daytona North, $97,000. Northrip, Tammy L. to Nielsen, Irene A., Lot 10, Block 74, Daytona North, $83,000.
Daytona Beach
CPB Management LLC to Pelican Bay Golf Club LLC, part of Section 35 & 36-15-32 & part of Section 1-16-32, $3,060,000. Wyndham Vacation Resorts Inc. to First American Trust and ClubWyndham Access Vacation Ownership Plan, Units 620-628, 720-728, Fairfield Daytona Beach, $410,044. Warmack, Lakisha and Dwaun to Abdullah, Makola M. and Ahkinyala M., Lot 71, Grande Champion, Parcel NW 27, $307,000. Dixon, Aggie L. to Luertzing, Kurt, Lot 2, Block C, Roberta Park, $300,000. Wyndham Vacation Resorts Inc. to First American Trust and ClubWyndham Access Vacation Ownership Plan, Unit 1620-1633, Fairfield Daytona Beach at Ocean Walk, $294,897. Wyndham Vacation Resorts Inc. to First American Trust and Club Wyndham Access Vacation Ownership Plan, Units 1320-1333, and 1520-1533, Fairfield Daytona, $276,725. Nour, George A. to Gerringer, Larry M. Jr. and Linda C., Lot 50, Centennial at LPGA International, $276,500. Goldberg, Robert A. Sr. and Kwan Chui, Trudy Liu to Farmer, Kevin W., Unit 204, Horizons Condo, $257,500. Sharma, Joseph Y. to Raczkowski, Mark W. and Helen P., Unit 1802, Horizons Condo, $247,500. U.S. Bank NA, et al to Vavra, Svatopluk and Herd, Angela K., Lot 23, Bayberry Lakes, $207,770. KB Home Jacksonville LLC to Hutchins, Andrew T. and Lindsay P.; and Perkins, John D. and Jaquette M., Lot 154, Grande Champion at Parcel SW 29, Phase 1, $185,000. Wyndham Vacation Resorts Inc. to First American Trust and Clubwyndham Access Vacation Ownership Plan, Units 1820-1833, Fairfield Daytona Beach Ocean Walk, $181,171. Wyndham Vacation Resorts Inc. to First American Trust and Clubwyndham Access Vacation Ownership Plan, Units 2028-2033, Fairfield Daytona Beach at Ocean Walk, $175,869. Kirby, Doris D. and Corry, Carleen K. to Thatcher, William J. and Pichon, Kathryn E., Unit 105, Ocean Ritz of Daytona, $166,500. D.R. Horton Inc. to Chen, A. Qing, Lot 5, Block 1, Grande Chamption at Parcel SW 29, $159,161. Wyndham Vacation Resorts Inc. to Shiltz, Jeffery J. and Christina L., Unit 620-628, 720-728, Annual, Fairfield Daytona, $155,534. Adams, William B. and Dorothy Ann to Graves, Thomas; and Edwards, Glen and Anne, Unit 401, Harbour Beach Resort Condo, $155,000. Hasher, William C. and Donna M. to Schwemlein, William P., Lot 56, Pelican Bay, Phase III, Unit I, $152,500. D.R. Horton Inc. to Macchlerie George William Jr., Lot 4, Block 7, Grande Champion at Parcel Sw-29, $145,680. Wyndham Vacation Resorts Inc. to First American Trust, Unit 1312-1319, Ocean Walk Resort, $140,043. Helmick, Maria and 182 Centennial Lane Trust LLC to Boldish, Steven I. and Regina A., Lot 162, Georgetown, Unit II, $135,400. Show J. LLC to Ash Lee Air Inc., part of Lot 1, Block 13, Kingston, $135,000. Wyndham Vacation Resorts Inc. to First American Trust and Clubwyndham Access Vacation Ownership Plan, Unit 2520-2522, Fairfield Daytona Beach at Ocean Walk, $134,593. Federal Home Loan Mortgage Corp. and Stewart Lender Services Inc. to Kaja Holdings 2, LLC, Lot 59, Lionspaw Jubilee Addition, Phase B, $120,000. Rafferty, Elizabeth Lawrence to Farrell, Logan M. and Sheila, Lot 242, Georgetown, Unit III, $109,000. Fresh Start Holdings LLC to Connors, Christopher E., Unit 310, Harbor View Condo, $107,000. Johnson, Philip L. to Neubauer, David, Lot 9, Pine Lake Subdivision, $99,000. Federal NMA to Damon, Alexander P. and Jonathan W., Lot 1, part of Lot 2, Block 16, Pelican Bay, Phase IV, $98,000. Palmer, Koreen K. and Gene to Reynolds, Matthew T. and Katherine C., Lot 31, Pine Forest, Addition No. 1 SE,$97,000. Rusciano, George and Judith and Davidson, Joseph and Christina to Grote, Dennis A. and Beth Ann, Unit 5, 437 N. Halifax Condo, $92,600. Wyndham Vacation Resorts Inc. to First American Trust, Unit 1812-1819, Ocean Walk Resort, $82,581. Ullen, Ludvik and Jovanovic, Olga U. to Trust, David P. and Sandra J., Lot 12, Block 23, Unit 1, Fairway, $79,000. Wyndham Vacation Resorts Inc. to Moorman, Marilyn A. and Mont S., Units 420-428, 520-528, Annual, Fairfield Daytona, $75,265.
Daytona Beach Shores
Pitts, Sharon L. to Sprudzs, Peteris J. and Donna L., Unit 905, St. Maarten Condo, $522,500. Horsey, Lynn and Paul B. to Robbins, David H. and Cynthia F., Unit 18C6, Oceans Four Condo, $290,000. Bluegreen Vacations Unlimited Inc. to Vacation Trust Inc., Week 39 E, Unit 105-X, Daytona Seabreeze, $283,100. Deutsche Bank National Trust Co., et al to Kotowski, James E. and Julie A., Unit 402, Towers Grande Condo, $263,000. Raley, Thomas E. and Heidi to Federal NMA, Lot 114, Block 6, Sea Havens, $224,221. Mirino, Frank and Rosemarie to Cury, Miguel R., Unit 501, Oceans Five, $192,500. Nelson, Michael C. and Catherine M. to Allen, Michael S. and Kristi, Unit 12A5, Oceans West One, $186,000. Bluegreen Vacations Unlimited Inc. to Vacation Trust Inc., Week 3 E, Unit 103X, Daytona Seabreeze Condo, $153,700.
DeBary
Henin Homes Inc. to Ginorio, Angel and Rios, Maria R., Lot 102, Riviera Bella, Unit 2A, $262,352. Lane, Christopher J. and Jennifer to Lennox, James A., Lot 24, The Reserve at DeBary, Unit III, $185,500. U.S. Bank NA, et al to Risco, Carlos G. and Patricia, Lot 20, Reserve at DeBary, Unit 1, $180,000. Bielawski, Richard R. and Barbara to Dawson, Gregory A. and Cynthia Sue, Lot 90, Woodbound Lakes, $171,000. Federal NMA and Shapiro Fishman & Gache LLP to Demarco, Dustin R. and Lorri Ann, Lot 367, Orlandia Heights, Section 3, $145,000.
DeLand
Riedley, William E. and Ann J. and Alice L. to Alfallaj LLC, Parcel 1, part of Section 3-17-30, $887,500. Wellington Apt LLC to Bahama Cay Apt LLC, Lot 31-34, 46-49, Keystone Plan of Block 109, $792,000. Gaffney, John D. and Debra P. to Mowell, James and Sandra Lee, part of Lot 154-155, Blue Lake Celery Co. Subdivision, $425,000. D.R. Horton Inc. to Sutherland, John W. II and Jennifer E., Lot 268, Victoria Park, Increment 4 NW, $347,700. D.R. Horton Inc. to Feldstein, David, Lot 270, Victoria Park, Increment 4 NW, $329,280. D.R. Horton Inc. to Munizzi, Ronald J. and Tracy Sue, Lot 87, Wellington Woods, $253,490. White, Joseph T. III and Alisa Ann to Tyler, Stephen P., Lot 13, Myers Subdivision No. 1071, Section 12-17-30, $242,500. Kropp, Thomas M. and Kimberly N. to Dickerson, Nancy Beth and Dennis A., Lot 289, Victoria Park, Increment 2 NE, $242,500. Gonzalez, Ray T. and Sandy K. to Ragan, Thomas L., part of Section 29-17-30, $242,000. Taylor Morrison of Florida Inc. to Flynn, Eric M. and Janet L., Lot 282, Saddlebrook Subdivision, Phase III, $235,055. D.R. Horton Inc. to Peake, James E. Jr. and Alicia, Lot 127, Victoria Park, Increment 4 NW, $228,506. D.R. Horton Inc. to Wilson, David W. II and Jennifer L., Lot 116, Wellington Woods, $220,441. Carter, Charlotte S.; and Kropp, Thomas M. and Kimberly to Fay, Ruth Ann, Parcel 1, part of Lot 12, Assessors Subdivision, Block 24, Rogers DeLand, $215,000. Equity Heritage LLC to Sondi, Rahmat and Savitri, Retno S., Lot 8, Fern Garden Estates, $208,085. Sierra 1 LLC to Hawkins, Anthony, Lot 20, Country Club Village, $192,000. Taylor Morrison of Florida Inc. to Abato, Anthony and Melissa, Lot 181, Saddlebrook Subdivision, Phase III, $190,370. Worden, Allen to Workman, Johnnie M., Lot 201-204, Glenwood Park, 2nd Addition, $135,000. Federal NMA to Cook, Gary A. and Elizabeth M., Lot 1, Block G, Brandywine, Unit 3, $133,000. Betzel, Margaret C. and Cooper, Terry L. to Harris, Mary M., Lot 9, Block B, Dukes Blue Lake Subdivision, $129,900. Bella Bear Properties Inc. to Dowdell, David L. and Rosemarie J., part of Lot 27, Orange City-DeLand Farms Subdivision SE, $124,900. Williams, Vernell, et al to Federal Home Loan Mortgage Corp., Lot 15-16, Block 3, Pine Crest, $114,777. Mena, Gloria to Chaffee, Marilyn H., Unit 11, Yorkfield Square, $113,000. Federal Home Loan Mortgage Corp. and Stewart Lender Services Inc. to Kaja Holdings 2 LLC, Lot 289, Victoria Park, Increment 3 SE, Unit 2, $108,700. Mack Rentals LLC to Damore, David R., part of Lot 16, Block 2, Norwood, $84,000.
Deltona
Baldwin, Donald A. and Teresa A. to Hahn, Michael W. and Davis, Olena, Lots 6 & 7, Block 982, Deltona Lakes, Unit 38, $275,000. D.R. Horton Inc. to Rodda, Danny Lee and Dianna Lynn, Lot 56, Lake Baton Estates, Phase I, $240,711. Turcotte, William R. and Shayna L. to Federal NMA, Lot 19, Block 450, Deltona Lakes, Unit 13, $229,077. D.R. Horton Inc. to Settle, Tyler R., Lot 81, Lake Baton Estates, Phase I, $211,790. D.R. Horton Inc. to Witzel, Roger C. and Defalco, Linda M., Lot 74, Lake Baton Estates, Phase I, $206,601. D.R. Horton Inc. to Mercado. Hector L. and Loretta Rose, Lot 83, Lake Baton Estates, Phase I, $198,266. Brooks, Richard L. and Wanda D. to Cummings, Daniel, Lot 10, Block C, Treeshore Development, $163,000. Royster, Danah and Thomas to Hill, Jon Tyler, Lot 10, Block 1088, Deltona Lakes, Unit 41, $153,000. Fisher, George and Joann to Meyers, Duston Elliot, Lot 20, Block 822, Deltona Lakes, Unit 32, $150,000. Norris, Thomas R. to Hill, Jacquelyn R. and Cornell, Daniel E., Lot 75, Oak Forest, Phase III Replat, $149,900. Federal NMA and Albertelli Law to Gonzalez, Herman R., Lot 41, Arbor Ridge, Unit 2, $149,000. Scherr, Jerome A. and Friedman, Gloria S. to De La Cruz, German, Lot 9, Block 161, Deltona Lakes, Unit 8, $143,000. Federal NMA and Kahane & Associates PA to Valentine, Crystal Y., Lot 8, Block 938, Deltona Lakes, Unit 36, $143,000. JMC Flooring Systems Inc. to Maynard, Thaddeus D. and Pigeon, Jessica M., Lot 13, Block 1194, Deltona Lakes, Unit 43, $141,000. Manor Homes Inc. to Edwards, Jacqueline P. and Lopez, Diana M., Lot 10, Block 571, Deltona Lakes, Unit 19, $138,900. Kauffman, Edith R. to Vanschaack, Samuel and Holloway, Alyssa, Lot 21, Block 529, Deltona Lakes, Unit 16, $137,000. Lewis, Helen A. to Black, Michael K. and Tracy Jo, Lots 34-35, Block 552, Deltona Lakes, Unit 17, $127,000. Rodriguez, Sherly X. to Rivera, Ricardo, Lot 12, Block 1703, Deltona Lakes, Unit 65, $125,000. Covert, Ginger and Jan to Blanco, Manuel and Monica C., Lot 8, Block 543, Deltona Lakes, Unit 17, $122,000. NV Acquisition Management LLC to Icue Investments LLC, Lot 10, Block 1217, Deltona Lakes, Unit 43, $121,695. Leon, Jose N. and Rebecca D. and Sarmiento, Rebecca D. to Brownlee, Nancy Ann, Lot 1, Block 1765, Deltona Lakes, Unit 68, $117,000. Demski, Margaret and Slack, Betty to Nadeau, Richard E. and Carlene S., Lot 13, Block 958, Deltona Lakes, Unit 36, $115,000. Winters, Kelly L. and James M. to Sitko, Andrew J. and Catherine A., Lot 17, Block 103, Deltona Lakes, Unit 3, $114,900. Tatis, Junior R. to Liranzo, Claudia, Lot 16, Block 36, Deltona Lakes, Unit 2, $102,282. Federal NMA and Law Offices of Daniel C. Consuegra PL to Cuadrado, Mario, et al, Lot 5, Block 1273, Deltona Lakes, Unit 44, $101,000. Stern, Bobbie Jean and Fabian J. to Rosario, Jose A. and Blanca, Lot 2, Block 1798, Deltona Lakes, Unit 70, $99,000. SRP TRS Subdivision LLC to Velez, Providencia and Pueyo, Jose E., Lot 9, Block 739, Deltona Lakes, Unit 32, $97,000. Thorpe, Lynda A. and Licate, Ann M. to Licamele, Anthony R. and Patricia P., Lot 19, Block 49, Deltona Lakes, Unit 10, $94,900. Federal NMA and Choice Legal Group PA to Mohamed, Latheefunissa and Quercy, Fabrice, Lot 2, Block 1839, Deltona Lakes, Unit 71, $94,000. Cheney, Lorraine to Rodriguez, Rafael, Lot 38, Block 128, Deltona Lakes, Unit 4, $93,000. Fifth Third Mortgage Co. to Caio Investments Inc., Lot 6, Block 1134, Deltona Lakes, Unit 41, $93,000. State Farm Bank and U.S. Real Estate Services Inc. to Note Financial LLC, Lot 29, Block 327, Deltona Lakes, Unit 8, $92,500. Pensco Trust Co. and Hart, Guy to Giron, Rogers M., Lot 6, Block 903, Deltona Lakes, Unit 33, $89,000. Baker, Thameen A. and Malinda S. to Fetlar LLC, Lot 7, Block 1723, Replat Tract A, Deltona Lakes, Unit 51, $79,500. Taranto, Michael and Hope to Fusari, Dianna, Lot 18, Block 64, Deltona Lakes, Unit 3, $76,000. Stafford, Pamela J. to JME Investments LLC, Tract R, Deltona Lakes, Unit 53, $75,000.
Edgewater
Hammond, Eileen E. to Klein, Joseph M. and Frances A., Lot 10, Block 3, Riveredge Acres, $160,000. Nyland, Jonathan W. and Logue, Katherine M. to Anglehart, Mark K. and Marcie A., Lot 409, Edgewater Landing, Phase II, $153,000. Tivenan, Marie L. to Palyok, Charles W. and Laura, Lot 280, Edgewater Landing, Phase II, $132,000. Riley, Randall D. and Sandra L. to Walton, Charles D. Sr. and Virginia E., Lot 10839-10841, Block 345, Florida Shores, No. 14, $125,900. County of Volusia to Ferguson, Tachara and Reid, Paul, Lot 14555-14556, Block 469, Florida Shores, No. 25, $124,000. Southeast Volusia Habitat For Humanity Inc. to Glass, Madison, Lot 6144-6145, Block 205, Florida Shores, Unit 7, $117,500. Swanson, Mark A. to Weiss, Jack A. and Edna, Lot 4568,4596, Block 150, Florida Shores, Unit No. 5, $100,000. Freshour, Peter to Davis, Cheryl Lynn and Michael Alan, Lot 55, Wildwood Subdivision, Unit 2, $87,000.
Flagler Beach
Liccardo, Elizabeth T. to Winter, Elaine, Lot 15, River View Point, $319,000. Ernst, Barry L. to DeLorenzo, Ashlee, Lot 97, Sugar Mill Plantation, Phase II, $312,900. Sbertoli, Jean to Perone, Margaret, Unit 3, Sea Crest Manor, $100,000. Kren, David J. to Hallaway, Dianne G., Lot 3, Block 9, Atlanta Beach, $99,500. All American Leads LLC to Svoboda, Tracy L., Lot 7, Seaside Manor, $85,000.
Holly Hill
Carefree Food Enterprises Inc. to Profin Investments LLC, part of Lot 4, Block 33, Mason & Carswell Holly Hill, $1,600,000. Lacomb, Edward J. and Katherine M. to Pecca 12 LLC, Lot 28, Cherokee Trails Subdivision, Phase I, $124,000. Abbott, Bruce T. and Joyce M. to Ross, Susan M., Lot 18, Block 3, Shore Acres, $106,000.
Lake Helen
Coppage, Carolyn M. and Guzzo, Lisa G. to Puckett, James Dennis and Norma Jane, part of Block 152 & 166, Town of Lake Helen, $160,000.
Mims
Roose, Joseph M.; and Joseph G. and Patricia J. to Kirchner, Thomas L., Lot 75, Lake Harney Woods, Phase 2, $141,912.
New Smyrna Beach
Evershed Enterprises LLC to 414 Flagler Properties LLC, part of Lot 32-34, Coopers Subdivision, $1,490,425. Love, David S. and Elizabeth T. to Robinson, David L. and Gentry M., Lot 4, Tara Trail, $375,000. Davis, John P. and Patricia to Wyman, Charles O. and Megan P., Unit 11-C, Bldg. E, Inlet at New Smyrna, $375,000. Duke, Glen W. and Vicki L. to Starman, Callie, part of Lots 13-14, Block 11, Colin Park Subdivision, $375,000. Hogan, Eric D. and Kirst, John A. Jr. to Franks, Sandra A. and William C., Unit B208, Southeaster, $340,000. Waldo, Patti E. and Gary E. to Gironda, Ronald J. and Antolino, Maria and Collier, Gwen C., part of Lot 5, Section 16-17-34, $340,000. Truslow, Peter C. and Edward D. to Enborg, Kenneth D. and Kristine A., Lot 69, Meadows of Sugar Mill, $327,500. Pell, Wesley E. and Ashley N. to Bray, Thomas J. and Kimberlee J., part of Tract 1, Block 3, Howe & Curriers, $300,000. Hurley, Mel T. and Helen to Evolga, Michael C. and Nancy K., Lot 18, part of Lot 17, Block 2, Driggers Subdivision, $299,000. Hill, Doris A. to Trombley, Michael E. and Virginia R., Lot 24, Turnbull Bay Country Club Estates, Phase 5, $270,000. Foxx, Kenneth E. and Diane U. to Mercurio, Dominic M. and Marlene V., Lot 512, Fairgreen, Unit VIII, $265,000. Federal Home Loan Mortgage Corp. and Aldridge Connors LLP to Vanassche, Steven C., Unit 404, Bldg. 166, Bouchelle Island XXI, $261,000. Federal NMA and Albertelli Law to Travis, Derek and Jessica, Lot 19, Woodlands at Sugarmill, Phase 1, $257,000. D.R. Horton Inc. Jacksonville to Mayen, Robert, Lot 6, Sugar Mill Gardens, $254,655. Evershed, John L. to 414 Flagler Properties LLC, Lot 4, Block 4, Walker Grant+B166, $249,900. D.R. Horton Inc. Jacksonville to Gaulin, Gregory J. and Sandra A., Lot 91, Sugar Mill Gardens, $241,351. D.R. Horton Inc. to Ridgely, James R. Jr., Lot 92, Sugar Mill Gardens, $229,121. Schrenk, Donald R. Sr. and Josephine; and Donald R. Jr. to Ostheim, Michael and Sarah, Unit 211, Bldg. C-3, Village of Colony Beach Club, $220,000. D.R. Horton Inc. to Bartlett, William L., Lot 222, Venetian Bay, Phase 1B, Unit 1, $209,010. Doherty, Joseph and Margaretann; and Jennifer E. to Fillmore, Douglas and Jane, Lot 5, Isles of Sugar Mill, $195,000. D.R. Horton Inc. Jacksonville to Evans, James W. and Brittany D., Lot 267, Venetian Bay, Phase 1B, Unit 1, $187,478. D.R. Horton Inc. Jacksonville to Wahl, Gary D. and Janice M., Lot 182, Venetian Bay, Phase 1B, Unit 2, $178,891. Poole, Martin D. and Cynthia A. to Beaches Day Spa LLC, Commercial Units 13 & 14, The Colony, $175,170. McGinnis, David K. and Feeney, Alexandra C. to Hicks, Sally M., Parcel B, part of Lot 48, Block 17 & 49, Block 18, Napier, $153,500. Old Smyrna Land Co. LLC to Newman, Robert H. and Sherry H., Lot 35, Florida Days, Phase I, $145,000. Corhern, Sidney D. and Deborah D. to Kertelits, Roy A. and Meade, Terence E., part of Block 21, Detwiler, $144,875. Hall, Mark R. and Fisher, Nancy A. to Richards, Michael, Lot 102-D, Bahamian Club, Unit 1, $142,500. Joseph, Rozanne R. to Rocker, Karen and William, Lot 161, Pine Island, Phase I, $139,000. Simpson, Elwanda to Hines, James M., Lot 20, part of Lot 19, 21, Block B, Ross Subdivision, $137,500. Kilikci, Gulcihan to Collier, Paul Jr. and Casteel, Jeri L., Unit 203, Bldg. 108, Bouchelle Island II, $135,000. Socha, Gina to Driver, James P.and Charlene, Lot 3, Block C, Landings at Sugar Mill, $133,000. Staples, Steven M. and Judy L. to Leone, Patrick A. and Kathy A., Lot 59, Century Woods, $130,500. Jollivette, Cyrus M. and Chambers, Frances R. to Loschiavo, Lawrence J. Jr., Lot 44-45, part of Lot 12-13, Block 44, Unit 3, Bethune Volusia Beach, $105,000. McDowell, Barbara J. to McCall, Stephen J. and Kim A., Lot 41-43, Block 45, Bethune-Volusia Beach, Unit 3, $100,000. Droppa, Kathryn L. and Edward E., Lot 23, Block J. Divisions A & B, New Smyrna Beach, $75,000.
Orange City
Sabin, Christopher J. and Lisa to Burnup, Alfred and Sabrina, Lot 9, Block 16, Orange City Estates, Unit 1 & 2, $266,700. Deutsche Bank National Trust Co. and IMH Assets Corp. and Impac Funding Corp. to Kunkle, Jeffrey R., Lot 17, Briarwood North, $164,900. Ellington, Helen J. to Donaldson, Herbert L. Jr., part of Lot 12, 13, Block 30, Orange City, $162,500. Boyles, Judy L. to Bryan, Sarah J. and Michael A. and Deborah J., Lots 38-42, Block 48, No. 1, West Highlands, $98,000. Lane, Marie and Neller, Robert to Darling, Richard N. and Martha J., Lots 31-33, Block O, 4th Addition, Orange City Terrace, $98,000. U.S. Bank NA, et al to Your Special Place LLC, part of Lot 8, Section 2-18-30, $86,000. T&D&R Trust and Hill, David to Thomas, Amy R. and Lawlor, Eric J., Lots 40-42, Block I, 3rd Addition, Orange City Terrace, $81,900.
Ormond Beach
Prestwick at Plantation Bay to Lee, Beverly K. and Restaino, Frank E., Lot 33, Plantation Bay, Section 2E-V, Unit 2, $358,545. Prestwick at Plantation Bay to Simone, Frank J. and Mildred E., Lot 70, Plantation Bay, Section 2-EV, Unit 2, $334,830. Bell, Richard P. and Ramute to Pryor, Jerl H. and Marion J., Lot 231, Chelsea Place, Phase II, $327,500. Aitken, Robert S. and Judith W. to Doornbos, Robert and Elizabeth, Lot 10, Halifax Plantation, Unit II, Section 1, $236,000. Oldham, Jim D. and Kathleen A. to Sherriff, Nicole L. and Chris C., Lot 62, Breakaway Trails, Phase 3, Unit 2B, $235,000. Prestwick at Plantation Bay to Cullen, Monika B., Lot 49, Plantation Bay, Section 2E-V, Unit 4, $231,322. Byers, Audrey to Vernon, Joyce, Unit 714, Ormond Heritage, $226,500. Squibb-Kates, Susan L. to Cole, John D., Lot 36, The Orchard, Phase 1, $207,000. Moncelsi, Raymond to Quinn, William T. and Kathleen L., Lot 17, Block 16, Tomoka Oaks Country Club Estates, $200,000. Richmond, Karen C.; and Croasmun, Robert M. and Shirley J. to Ross, Robert C., Lot 22, part of Lot 13, Block 20, Fleming Fitch Grant Ormond, $192,500. Anderson, Craig J. to Sanderford, Alan, Lot 14, Plantation Bay, Phase I-A. Unit 6, $177,500. Houston, John H. to Libuda, Richard B., Lot 28, Halifax Plantation, Unit II, Section J, $172,500. Bluegreen Vacations Unlimited Inc. to Vacation Trust Inc., Week 47, Unit 205, Casa Del Mar Beach Resort, $169,200. Mitchell, Charles C. and Shelley L. to Kuftic, Vernon A., Lot 38, River Breeze Estates, $165,000. Wright, James A. and Helen M. to Werlick, Daniel and Alice, Unit 1104, Regency Plaza, $158,000. Freedman, Kevin M. and Melissa L. to Giaimo, Daniel A. and Reina M., Lot 37, Seaside Homes, $143,500. Richardson, Pamela B. to Ruiz, Maria M., Unit 101, Ocean Watch, $135,000. Brodeur, Doris C. to Harrison Cynthia J., Lot 73, Ormond Ocean Gardens, $120,000. Bessette, Wayne R. to Leggens, Ronald A. and Ruth E., Lot 5, Block 9, Ormond Forest Hills Subdivision, $99,000. Jankowski, Michelle to Betancourt, Debra A. and Noe, Lot 4, Trails South Forty Subdivision, Unit III A, $97,200. Henry, Ellen; Jensen, Barbara; and Miles, Nancy to Johnson, Donald C. and Wilson, Betty Rae, Unit 201, Ormond Heritage Condo, $90,000.
Ormond by the Sea
Rusnak, Helen L. to Griffin, Taylor W. III, Lot 27, Replat Lot 6-31, Ormond by the Sea, $127,000. Post, Carol J. to Culver, Cayla, Lot 46, Ormond by the Sea, No. 8, $120,000.
Osteen
Michels, Steven A. and Sheryl A. to McGhee, Mary Lou and Taylor, William K., Lot 71, River Oaks Estates, $478,000. Frank, Jeremiah T. to Smith, Peter, part of Section 14-19-32, $149,000.
Ponce Inlet
Christy, Katherine to Threadgill, James M. and Barbara, Unit 702, Antigua Condo, $708,750. Keenan, Edmund and Lesley to Tricoli, John A. III and Joy T., Unit 302, The Antigua, $560,000. Sevcech, Richard L. and Janice H. to Huber, Robert T. and Alyona O., Lot 5, Sundunes Subdivision, $360,000. Serafini, Anton and Lourdes T. to Deep Rice LLC, Unit 4303, Bldg. 400, Rivers Edge at Harbour Village Condo, $340,000. Gerringer, Larry M. and Carol M. to Finnerty, Martin and Kathleen, Unit A-303, Bldg. 2600, Links North at Harbour Village, $295,000. PNC Bank to Kennedy, Adam J. and Dana O., Unit 5105, Towers of Ponce Inlet, $280,000. Federal NMA and Reo Title Co. of Florida LLC to Waggoner, Darren P. and Sproles, Steven L., Lot 25, Ponce Terrace Subdivision, $254,000.
Palm Coast
Upchurch, John D. to Reich, Larry R., Lot 101, Estates at Grand Haven, Phase 2, $555,000. Cook, Leah R. to Bielski, Amelia, Lot 74, Grand Haven North, Phase 2, $435,000. Schwartz, Kenneth to Gordon, Ellen, Unit 2705-A, La Grande Provence Condominium, $325,000. Stanhope, Ann H. to Wright, Richard J. Sr., Lot 34, Village H-1 at Grand Haven, $300,000. KB Home Jacksonville LLC to Gavin, James F., Lot 81, Grand Landings, Phase I, $249,500. Imperante, John A. to Martins, Jacinta L., Unit C304, Riverview Condominums at Grand Haven, $235,000. Federal National Mortgage Association to Stewart, Carol J., Lot 4, Block 9, 2nd Addition to Marineland Acres, $200,000. Whipple, Debra L. to McKinnon, Anita M., Lot 3, Block 30, Wynnfield, Section 22, $200,000. Cheremond, Germaine to Black, Norman R., Lot 8, Block 10, Lakeview, Section 37, $189,100. Grant, Rosa M. to Desroches, Kathleen J., Lot 19, Block 55, Kankakee Run, Section 65, $187,500. Tice, Karen A. to Moore, Michael, Lot 47, Block 5, Florida Park, Section 7, $180,000. Costello, Wendy to Paszkiewicz, Anna, Lot 3, Block 81, Seminole Park, Section 59, $179,900. Adams, Janiet G. to Sauers, Perry A. Jr., Lot 4, Block 49, Royal Palms, Section 29, $175,000. Deutsche Bank National Trust Co. to Jordan, Terrence, Lot 9, Block 58, Easthampton, Section 34, $173,000. Fifth Third Bank to Snyder, Andrew Jr., Lot 20, Block 7, Wynnfield, Section 27, $167,500. 24 Prattwood Ln Trust to Beddingfield, James H., Lot 25, Block 45, Pine Grove, Section 24, $165,000. Delacruz, Dayna A. to Malta, Sara G. J., Lot 14, Block 1, Laguna Forest, Section 64, $160,000. Hansell, Donna to Hoover, Charlene S., Lot 82, Hampton’s Subdivision, $160,000. U.S. Bank NA to Green Hill Real Estate LLC, Lot 7, Block 15, Pine Lake Village, $159,900. Petruzzella, Constantino V. to Schulze, James D. Jr., Lot 15, Block 42, Pine Grove, Section 24, $155,000. 6 Russman Ln Trust to Tedford, Leah G., Lot 16, Block 40, Royal Palms, Section 32, $146,000. Curry, Dawn to Cochran, Leslee, Lot 17, Block 8, Belle Terre, Section 13, $143,500. Federal National Mortgage Association to Jackson, Brian M., Lot 5, Block 93, Seminole Park, Section 59, $140,000. Vares, James C. II to Allen, Amy L., Lot 4, Block 15, Wynnfield, Section 19, $140,000. Bosse, Carol A. to Barnfield, Carlos, Lot 13, Block 85, Royal Palms, Section 32, $137,500. Federal National Mortgage Association to Kelly, April M., Lot 12, Block 84, Royal Palms, Section 32, $137,000. Federal National Mortgage Association to Terhune, Charlene A., Lot 2, Block 23, Royal Palms, Section 29, $136,000. Krenick, Veronica T. to Pimentel, Luis F., Lots 4 and 5, Block 69, Royal Palms, Section 32, $130,000. White, James G. Jr. to Dickman, Carol A., Lot 6, Block 4, Bernard Meadows, Section 81, $125,000. Korshun, Irina to Caldwell, Leona, Lot 3, Block 115, Belle Terre, Section 35, $125,000. TJKR LLC to Gladey, Marietta, Lot 3, Block 43, Royal Palms, Section 32, $124,000. Federal National Mortgage Association to Atauje, Cattibell, Lot 11, Block 23, Royal Palms, Section 33, $123,900. Crafts, Susan A. to Grelle, Richard P., Lots 10 and 11, Block 28, Pine Grove, Section 28, $122,000. Kusmack, Robert to Dales, James A., Lot 12, Block 44, Seminole Park, Section 60, $120,000. Brands, Thomas N. to Bailey, Elaine M., Lot 15, Block 26, Kankakee Run, Section 65, $117,000. Secretary of Veterans Affairs to Aiello, Michael J., Lot 13, Block 60, Seminole Park, Section 58, $110,000. Cruz, Antonio C. to Freitas, Camilo, Lot 2, Block 7, Florida Park, Section 7, $110,000. Bank of New York to Fong, Alfred E., Lot 18, Block 21, Belle Terre, Section 13, $109,900. Federal Home Loan Mortgage Corp. to Howland, Jeffrey A., Lot 37, Block 14, Belle Terre, Section 12, $106,000. Robinson, Linda to Tran, Mai Thi, Lot 3, Block 26, Bernard Meadows, Section 81, $102,600. Deutsche Bank Trust Co. Americas to Druyan, Alexander, Lot 18, Block 7, Belle Terre Section 13, $100,000. Del Monte Investment Inc. to Dias, Fernando, Lot 24, Block 58A, Wynnfield, Section 27, $100,000. Federal Home Loan Mortgage Corp. to JKR Investments Group Inc., Lot 27, Block 10, Wynnfield, Section 27, $99,100. Wells Fargo Bank NA to Barron, Lena I., Lot 41, Block 1, Belle Terre, Section 11, $99,000. Roy, George III to Margolin, Robert, Lot 4, Block 59, Kankakee Run, Section 65, $97,500. Klockmann, Sylvia to Lohmann, Caroline E., Unit 38-201, Woodhaven Condominium, $94,000. Schnueringer, Hester to Cai, Bingxue, Lot 9, Block 45, Royal Palms, Section 32, $93,000. JPMorgan Chase Bank NA to ALT Homes LLC, Lot 30, Block 36, Royal Palms, Section 32, $90,000. Parks, Janice K. to Valenti, Dominic, Unit 36-102, Woodhaven Condominium, $90,000. Pryce, Laurel E. to Honora Investments Inc., Unit 107, Palm Club, $80,000. Bank of America NA to Davis, James J., Lot 5, Block 7, Marineland Acres, 1st Addition, $80,000. Federal National Mortgage Association to Spath, Nicole, Lot 33, Block 6, Florida Park, Section 1, $75,000. Schwartz, Dorothy G. to Da Silva, Nereu Ferreira, Lot 10, Block 28, County Club Cove, Section 4, $75,000
Port Orange
Garzia, John B. Jr. and Janet M. to Lankford, Timothy E. and Melody S., part of Section 28-16-33, $560,000. Bell, John K. and Darlene N. to Thomas, William H., Lot 144, Spruce Creek Subdivision, Unit II B, $500,000. Tillotson, Gary J. and Margo M. to McClellan, John C. Jr. and Sheila D., Lot 44, Countryside PUD, Phase IV C, $335,000. Intervest at Waters Edge Ltd. to Hiatt, Jason H. Jr. and Christina D., Lot 19, Waters Edge, Phase XI, $293,315. Allen, William H. to Knapp, Andrew and Michelle, Lot 44, Halifax Shores, Replat 2, $245,000. Estes, George D. to Bishop, Reuben and Patricia, Lot 123, Royal Palm PUD, Phase 2, $229,000. Intervest at Waters Edge Ltd. to Harty, James A. and Kimberly E., Lot 56, Waters Edge, Phase XI, $225,555. Stevens, Harold I. Jr. and Diane J. to Cianci, James J. and Gwenn A., Lot 9, Spruce Creek Subdivision, Unit III B, Section I, $215,000. Holiday Builders Inc. to Lewandowski, Frank J. and M. Joyce, Lot 139, Port Orange Landings, Phase 2, $212,720. Duhamel, Thomas P. to Powell, Jason R. and Mary M., Lot 40, Summer Trees South, Phase III, $195,000. Reslan, Ghassan M., et al to Bryson, Brenda J. and McClelland, Cameron and Bethany, Lot 30, Cypress Cove, Phase III, $194,000. D.R. Horton Inc. to Steady, Kenneth L. and Eleanor F., Lot 209, Port Orange Plantation, Phase 3, $190,235. Holiday Builders Inc. to Medeiros, Thomas G. and Mary P., Lot 9, Port Orange Landings, Phase 2, $189,600. D.R. Horton Inc. Jacksonville to Cammack, Shannon Lynn, Lot 133, Port Orange Plantation, Phase II Replat, $180,500. Bank of New York Mellon, et al to RBH5 Realty LLC, Lot 140, Waters Edge, Phase II, $179,000. Lloyd Ltd. to Labelle, John and Labelle, Patricia, Lot 27, Woods of Port Orange, Unit III, $172,500. D.R. Horton Inc. to Pettegrew, Janna Lee, Lot 175, Port Orange Plantation, Phase II Replat, $168,004. D.R. Horton Inc. Jacksonville to Carter, Sarah K., Lot 108, Port Orange Plantation, Phase II Replat, $164,990. Secretary of Veterans Affairs to Gaffka, Brian A. and Shiloh G., Lot 18, Riverwood Plantation, Phase V-B, $135,000. Bramlage, John J. and Betty Jane to Ferkler, John W. and Shelly N., Lot 144, Kingswood Subdivision, 2nd Addition, $134,500. Beverly, Reginald C. and Beverly Evelyn C. to Riopel, Kenneth and Dibble, Holly, Lot 20, Riverwood, Phase V, $120,000. Szymanski, Michael and Joyce to Sutherland, Cheri, Lot 16, Baywood Replat 2, $102,000. Federal NMA and Albertelli Law to Wesemann, Joanne C. and Erwin, Gale A., Lot 35, Summer Trees, Unit III-B, $87,000. Wolfe, Edward F.; and Lacey, Mary Lee to Hull, Nancy J. and Raymond A., Lot 7, Spruce Creek Farms, Unit 2, $83,500. Vankouteren, Linda to Ruth, Conrad C. and Susan S., Lot 40, Laurelwood Mobile Estates, Unit III, $82,900. Wells Fargo Bank, et al to Miketinac, John S., Bldg. 7, Unit 103, Villaggio on The Lakes, $81,000.
Seville
Kinney, Walton J. II to Conoley, E.B. and Lorraine B., part of Section 35 & 36-13-28, $678,650.
South Daytona
South Daytona Food Stores LLC to NLD Daytona LLC, Lots 40 & 43, West Shore Park, Section 3, $680,000. Schutt ,Rodney to Orlowski, Kenneth J. and Linda E., Unit 1106, Halifax Landing, $240,000. Soham Universal LLC to Traub, Allen and Lealyn, Lot 19, Coventry Forest Subdivision, Section VI, $120,331. Lilavois, Robert P. and Solange M. to McKitrick, Justin M. and Robert M., Lot 24, Sherwood Forest, $105,000. Voss, Jo Ann to Shorette, Richard A. and Diana K., Lot 40, Big Tree Village, Phase I, $98,000. Baker, Chase L.; Douglas G.; Sheri L.; Taylor G. to Stagaard, Alyssa C., Lot 41, Block 1, Ganymede, Unit 1, $90,000. Patel, Umesh and Layous, George to Aguilar, Carlos A. and Punguil, Jenny E., part of Lots 11-12, Block 3, Golf View Subdivision, Section No. 2, $79,000.
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https://www.academia.edu/14914718/Framing_the_hijab_The_governance_of_intersecting_religious_ethnic_and_gender_differences_in_France_the_Netherlands_and_Germany
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en
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Framing the hijab: The governance of intersecting religious, ethnic and gender differences in France, the Netherlands and Germany
|
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[] |
[
""
] | null |
[
"Doutje Lettinga",
"independent.academia.edu"
] |
2015-08-14T00:00:00
|
This dissertation discusses the different ways in which French, Dutch and German politicians have deliberated and regulated the issue of Islamic head and body covering, which became a salient issue in all three countries at different times since the
|
https://www.academia.edu/14914718/Framing_the_hijab_The_governance_of_intersecting_religious_ethnic_and_gender_differences_in_France_the_Netherlands_and_Germany
|
This dissertation discusses the different ways in which French, Dutch and German politicians have deliberated and regulated the issue of Islamic head and body covering, which became a salient issue in all three countries at different times since the 1990s. In order to explain country-specific policies on the hijab, this dissertation analyses the ways in which the hijab was framed in the political realm as a paradigmatic symbol of problems requiring a policy response. The central thesis of this dissertation is that national institutional and policy histories offer specific opportunities and constraints, which shape how issues are constructed as problems within the political realm, giving rise to particular policy solutions. However, going beyond static, structural approaches towards understanding countries’ different policy outcomes, this dissertation takes a political-process approach that focuses on the actors involved in those framing contests, the shifting power they have to push for their construction of reality, and the legal-institutional setting in which these policy-formation processes take place. This dissertation focuses on three institutional settings as particularly relevant structures in shaping policy processes on the hijab: institutionalised state-church relations, institutions of citizenship and migrant incorporation, and gender machineries and policies, as well as their underlying cleavages. The policy debates and policy responses will be analysed from the onset of the debates in each country (starting with the Netherlands in 1985) until 2007, a period that includes several important national and international events such as September 11, 2001. Such a comparison over time allows for an explanation that is sensitive to changes in policy debates and responses within countries and hence to possible trends of convergence between countries. This thesis therefore aims to answer the following two research questions: 1. What differences and similarities exist in the framing and policy responses to the hijab in France, the Netherlands, and Germany and how have these developed over time from 1985 until 2007? 2. To what extent can institutional structures, divergent policy pasts of state-church relations, migrant incorporation and women’s emancipation, and shifting party constellations explain differences in the framing and regulation of the hijab? The study uses similar data for all three countries: a qualitative frame analysis of all parliamentary documents on this issue, complemented with jurisprudence that shaped policy responses and media extracts.
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797130/
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en
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Calibration-free PAT: Locating selective crystallization or precipitation sweet spot in screenings with multi-way PARAFAC models
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[] |
[] |
[
""
] | null |
[
"Christina Henriette Wegner",
"Jürgen Hubbuch"
] |
2022-08-15T00:00:00
|
When developping selective crystallization or precipitation processes, biopharmaceutical modalities require empirical screenings and analytics tailored to the specific needs of the target molecule. The multi-way chemometric approach called parallel factor ...
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en
|
https://www.ncbi.nlm.nih.gov/coreutils/nwds/img/favicons/favicon.ico
|
PubMed Central (PMC)
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797130/
|
3.1 Case 1–selective crystallization of lysozyme in a ternary protein solution
As a proof of concept, the PARAFAC model construction was first applied to UV/Vis spectral data of a phase transition process of a chemically defined system. In a system of three model proteins, the target molecule (Lys) was selectively crystallized in a HT screening with 96 different conditions. The other two species (CytC and RibA) are arbitrarily treated as contaminants and were preferred to stay in the supernatant to achieve a high Lys purity in the crystals. The supernatants of the screened conditions holding different protein-specific concentrations were UV/Vis-analyzed. The generated data was used for the model construction. The selected model required two PARAFAC components–one for the target molecule Lys, and the second one for clustering the contaminants.
shows the PARAFAC-predicted single species time profiles compared to the measured absorbance of the initial material at the wavelength λ = 280 nm over time. The dashed and solid lines visualize the model-predicted data (right axis) and the measured data (left axis), respectively. This remains consistent throughout this research work. The predicted spectra of the two components are illustrated in in different colors for each species. As a reference, the pure Lys spectrum is included with solid lines for identification of the target molecule component. The predicted and measured Lys concentration of the supernatants of the screened conditions are depicted in . This plot illustrates the phase behavior of Lys in a phase diagram depending on the AMS and initial Lys concentration of the screened condition, and distinguishes between the supersaturation and stable area. The loading vectors in all three modes are unitless, and one component represents one species in each mode. The concentration of the contaminant species did not change (data not shown). The phase behavior of this HT screening is described and explained in detail by Wegner et al. (2022).
The time courses of the predicted two species match the position of the overall absorbance at λ = 280 nm of the analyzed initial material. Both predicted species demonstrate a similar flow behavior through the HPLC system during the no-column runs and resemble the Gaussian shape due to axial diffusion in the analysis system. The spectral prediction of the Lys component fits the measured spectrum of pure Lys, only the shoulder at λ = 290 nm is slightly less pronounced than in the measured spectrum. The predicted concentration loadings and measured concentrations overlay and indicate the saturation curve of the phase diagram clearly. This curve distinguishes the screened condition into the stable area showing no Lys concentration decline in the supernatant and the supersaturation area, in which the Lys concentration drops to the saturation curve, possibly due to crystallization.
To compare the predicted PARAFAC loadings and the measured reference data, depicts the model and measurement data sets in two ways. First, the data sets in show the predicted spectral loadings and measured species, similarly to , but with the spectra of all three model proteins (Lys, CytC, and RibA) present in the screening solutions. Second, the spectral data of the Lys species were mean-normalized to overcome the difference in axis scale. Finally, the data sets were plotted against each other and used for the coefficient of determination (R 2) and root mean squared error of prediction (RMSEP) calculation (see for the Lys spectrum and for the concentration comparison). is derived from the mean-normalized concentration data of . The RMSEP in this work is given without a unit as the variable is calculated from normalized values.
The RibA UV/Vis spectrum shows a noisy spectrum above 300 nm, which is a normalization artefact as the overall absorption of the pure RibA spectrum was low due to its low extinction coefficient and the measured concentration of 0.2 mg ml−1. It is visible that the predicted contaminant spectrum is similar to the pure CytC spectrum between 300–450 nm. According to the model, below 300 nm, the two contaminant species (CytC and RibA) do not contribute to the measured UV/Vis absorbance which differs from the measured pure species spectra. PARAFAC models with three components did not lead to reasonable models, so that the species RibA was not modeled as an own species due to its low contribution to the overall UV/Vis absorbance. However, RibA and CytC together can be clustered as impurities and can be described by one contaminant component as they demonstrate similar phase behavior.
The mean-normalized model prediction and the measured mean-normalized spectrum of pure Lys overlay as indicated by the high R 2 value. The Lys concentration loadings of the PARAFAC model are slightly underestimated at higher protein concentrations, which is quantified with a lower R 2.
3.2 Case 2–selective precipitation of monoclonal antibodies in a complex solution
As the second case study, a mAb was selectively precipitated out of a clarified, complex solution (CCS) consisting of several different species. In total, 12 different precipitant concentrations were investigated, and the supernatants of the precipitation (S1), wash (S2), and redissolution (S3) process steps were UV/Vis-analyzed to finally construct a valid PARAFAC model.
The results of the constructed model with three different components are shown in . The three components could be identified as the mAb, contaminants, and AMS. The predicted time profiles of each component and the measured absorbance at λ = 280 nm are shown in . The predicted spectral profiles and the measured spectrum of purified mAb are depicted in . The predicted, specific concentration in the supernatant of precipitation ( ), wash (D), and redissolution process step (E) are colored according to the species. As a reference, the measured peak area of the mAbs and the contaminant are included in and represent the concentration profile throughout the investigated screening conditions.
The predicted time profiles in show a Gaussian curve for the contaminant species, two Gaussian curves for the AMS species, and an irregular profile for the mAb component resembling multiple overlaying species. The predicted AMS time profile overlaps with the measured time profiles of pure AMS solution measurements (see Supplementary Figure S1).
The predicted spectrum of the target molecule mAb fits the measured spectrum of protein A purified mAb (see ). The predicted concentration profile of the AMS during the precipitation and wash step agrees with the experimental AMS concentration as the precipitant concentration was linearly increased over the investigated conditions from 0 mol to 2 mol during the precipitation and wash process step (see Supplementary Figure S2). The predicted and the measured mAb concentrations in the precipitation supernatants decrease strongly above 1.2 mol AMS in and match the increase in mAb concentration in the redissolution solutions above the same AMS concentration in . The predicted and the measured contaminant concentrations behave likewise with a different threshold at 1.6 mol AMS. A slight increase in the mAb concentration at 1.6 mol AMS during the washing step is visible in the predicted and the measured data sets. A slight increase in the contaminant concentration with rising AMS concentration was only seen in the reference analytics and indicates contaminant removal during the wash step. The predicted mAb concentration in is overestimated at AMS concentration between 0 and 0.4 mol AMS whereas the contaminant concentration is underestimated. Similarly, the behavior of overestimated mAb and underestimated contaminant concentrations is visible in the redissolution samples at higher AMS screening conditions in .
To further validate the constructed PARAFAC model, comparisons of the predicted loadings, and measured data of the mAb spectrum and concentration are illustrated in . The predicted spectral loadings of the mAb and the predicted contaminant are shown in , as well as the spectrum of the initial contaminants, present in the precipitation supernatant, and of the co-precipitated contaminants, which are still present after redissolution. The initial contaminants, which are present in large excess and remain in solution despite the presence of the precipitant AMS, are well described by the blue contaminant component of the PARAFAC model. The co-precipitated contaminants could not be described by the model as these contaminants underwent phase transition at similar precipitant concentration as the target molecule. The mean-normalized, predicted spectral loadings and the measured spectrum of the mAb species are depicted in and agreed as indicated by the R 2 value of 97.38% and a low RMSEP of 0.009.
To further visualize the model agreement, the predicted, mean-normalized concentration loadings and measured peak area of the mAb are shown during the different process steps in with their process-specific R 2 and RMSEP values. The concentration loadings show moderate agreement with the measured data for the precipitation and wash step samples. In the precipitation supernatant analysis, the presence of the different contaminants at high mAb concentration (especially at lower AMS concentration) might be the cause. The wash step analysis samples showed very low mAb concentration except for one outlier. The lowest R 2 and the highest RMSEP values among the investigated process steps might be caused by a mathematical artefact and the outlier. The high R 2 and low RMSEP values for the precipitation and redissolution supernatant indicate that the model could produce valid mAb concentrations.
3.3 Case 3–selective precipitation of virus-like particles in a complex solution
The third case study dealt with the selective precipitation of VLPs in E.coli lysate. In line with the second case study, a screening was performed over different precipitant concentrations, and the UV/Vis-analyzed precipitation (S1), wash (S2), and redissolution step (S3) supernatants were used to construct a PARAFAC model.
The results of the constructed model with three different components are shown in . The three components are identified as the VLPs and two contaminant clusters.
The time profiles in show a flat, broad peak for the VLP species. The calculation of the second derivative of the spectra along the wavelength dimension improved the model validity (data not shown). The second spectral derivative of a reference spectrum of purified VLPs validated the spectral PARAFAC loadings (see ). The reference data illustrate how well the peak position is found by the PARAFAC model estimation of the spectra. The concentration loadings of the different species during the precipitation, wash, and redissolution process step are depicted in , respectively. The VLP species concentration decreases with rising AMS concentration above 1 mol concentration and approaches a limit (see ). The VLP concentration loadings of the redissolution step show the inverse behavior above the same threshold (see ). The first contaminant cluster shows a similar behavior above 1.5 mol AMS with a higher limit in the precipitation solutions and a lower limit during the redissolution step. Presumably, this contaminant cluster precipitates to the solubility line above the threshold. During redissolution, the precipitate of screened conditions with high AMS concentration is redissolved. The AMS concentration does not strongly affect the concentration loadings of the second contaminant cluster in the precipitation solutions, but the concentration loadings of this component increase slightly to a limit in the redissolution solutions. The second contaminant cluster represents species that are stable at higher AMS concentration. Similar results were achieved by Hillebrandt et al. (2020) for a chimeric VLP construct. The concentration loadings during the wash step show no significant increase in the VLPs and the first contaminant cluster. The second contaminant cluster shows a slight concentration loadings increase and is probably washed out of the precipitate with the rising AMS concentration.
Scanned SDS-PAGE gels of the precipitation and redissolution step are included in the Supplementary Material (see Supplementary Figure S3) analyzing the conditions between 0 mol and 1.27 mol and 2 mol AMS concentration. The findings on the concentration profile of the predicted species match the scanned gel of the reference SDS-PAGE analysis (see Supplementary Figure S3).
The similarity between the predicted and measured second derivative of the VLP spectrum is visible in The estimated wavelength position of the peak maxima and minima fits the measured data in the wavelength range below 265 nm and above 275 nm, but the absolute values at the peak maxima and minima do not overlay. Between the mentioned wavelengths, the curve characteristics of the predicted spectral loadings show a flattened curve and differ from the measured data. The absolute values at the peak maxima and minima do not overlay.
This may be the result of the applied preprocessing techniques as smoothing can eliminate or broaden peaks, whereas the spectral derivative calculation is sensitive to subtle differences in spectra.
To visualize the fit of the predicted to the measured data, the mean-normalized predicted VLP loadings and the second derivative data of a measured VLP spectrum are plotted against each other in and used for the calculation of R 2 and RMSEP values. Closer to the center, the predicted data overlay strongly with the measured data. At the boundaries of the spectral loadings, the predicted and the measured data differ more. Still, the spectral loadings showed a high R 2, but the highest RMSEP for the spectral regression among the three investigated case studies.
4.1 PARAFAC model choice
A PARAFAC model can decompose a data set into the signal contribution of each species if the experimental data set has a truly trilinear structure (Bro, 1997; Anzardi et al., 2021). In the case of spectral data sets, this means that an experimental data set can estimate e.g., the spectrum and concentration profile of each species present. Considering the physical logic that the spectra and concentration profiles are positive, the non-negativity constraints can be included in the calculation of chemometric models. This is a common practice to find stable, correct multi-way chemometric models during model calculation (Bro, 1997; Ebrahimi et al., 2008; Murphy et al., 2013; Steiner-Browne et al., 2019; Van Benthem et al., 2020).
Still, valid PARAFAC models can only be constructed if the appropriate number of components (Andersen and Bro, 2003; Bro and Kiers, 2003; Ortiz et al., 2015), preprocessing techniques, and suitable model calculation parameters are used.
In the case of biological, complex solutions containing several different species, the requirement of an appropriate number of PARAFAC components imposes a problem for the model calculation. As not every single UV/Vis-absorbing species can be described by one model component, the different species need to be categorized in clusters. These clusters are formed on the basis of their similar phase behaviors among the species and shall be described by one PARAFAC component accepting inaccuracies in the spectral prediction. This simplification of the variety of species to several clusters introduces an error into the model. However, if the target molecule undergoes a phase transition and contributes strongly to the measured spectral data set, the focus of the PARAFAC models is to find the target molecule in any phase behavior screening study. Further strategies (Smilde et al., 2004) to determine the correct number of PARAFAC components are e.g., half-splitting and comparing the experiments (Bro, 1997), evaluating residuals (Smilde and Doornbos, 1992; Bro, 1997), and the CORCONDIA value (Bro and Kiers, 2003). More information on finding suitable preprocessing (Bro, 1998; Bro and Smilde, 2003) and model calculation parameters (Bro, 1997; Murphy et al., 2013) can be found elsewhere.
In crystallization or precipitation screenings, it can be expected that the protein concentration decreases to the solubility line with increasing precipitant or protein concentration due to the decreased protein solubility, which results in protein crystallization (Asherie, 2004; Baumgartner et al., 2015) or precipitation (Wingfield, 1998; Burgess, 2009; Watanabe et al., 2009). In the case of selective crystallization or precipitation processes, the phase behavior is protein-specific and can be used for protein purification. This theoretical process knowledge can be included in the choice of the PARAFAC model.
The spectral data set for the first case study was recorded for a HT-selective crystallization screening of Lys in a ternary protein system. In total, 96 conditions were screened varying the initial Lys concentration and precipitant concentration. The initial concentrations of the two other proteins (RibA, CytC) were maintained constant in all screened conditions. As the calculation of PARAFAC models with three components did not lead to a robust model, a model with two components was calculated (see ). Evaluating , one component can be identified as the target molecule Lys; the other one as a contaminant cluster resembling mainly CytC. It is assumed that the absorbance contribution of the third species RibA is built into a contaminant cluster (Yang et al., 2015), and that this third species is not described as a single model component. It contributes to a smaller extent to the UV/Vis spectra due to the lower extinction coefficient in the investigated wavelength range (3.8 and 2.8 times lower at 280 nm than for Lys and CytC) and lower concentration (up to 7.5 times lower than the Lys concentration). Furthermore, the protein concentrations of CytC and RibA do not change during the screening, contrary to the target protein Lys (see Wegner et al. (2022) for further explanation). As a consequence, the model cannot distinguish species demonstrating similar phase behavior. This shows that low-absorbing species are difficult to describe with an own model component, and that species with similar phase behavior can be clustered justifying species clustering in screenings with complex solutions.
The selective precipitation study of mAbs leads to a spectral data set, which can be described by a PARAFAC model with three model components (see ). One component represents the target molecule mAb, the other two the AMS concentration and a contaminant cluster. The time profile of the mAb component in may be caused by the changing light refraction when a solution with a high AMS passes the detector (see Subchapter 4.2). Another possible source could be different product-related impurities, e.g., aggregates, fragments, as they would show a mAb resembling spectrum, but different retention times in the analysis system due to diffusion. Below the AMS concentration of 0.5 mol the mAb species is overestimated and the contaminant cluster is underestimated by the PARAFAC model in . In , the two model components show the same effects above 1.4 mol AMS. A possible explanation of these contrasting model discrepancies of the measured to the predicted data is that the predicted mAb UV/Vis spectrum is overestimated below 270 nm leading to inverse effects on the concentration loadings of the mAb and contaminant component. As a result, the spectral loadings of the contaminants may be incorporated in the predicted mAb spectrum and distort the concentration loadings of both species–the target molecule and the contaminant cluster. This effect is more pronounced at higher absorbance values and thus higher protein concentrations.
The protein A chromatography gave further information on the composition of the contaminants during the precipitation, wash, and redissolution step. provides information on the main contaminant cluster during the precipitation and during the redissolution step. This means that the co-precipitated contaminant cluster during redissolution cannot be distinguished from the target molecule.
The PARAFAC model of the selective VLP precipitation HT screening could be calculated with three model components (see ). One component describes the VLP species while the other two describe two contaminant clusters. Assessing the concentration loadings of all three PARAFAC components in , the predicted species show different phase behaviors with increasing precipitant concentration. This enables the use of a selective VLP precipitation step for purification. Regarding the screened redissolution samples in , the predicted concentration loadings of the VLPs and first contaminant cluster increase above the same precipitation threshold in . The second contaminant cluster shows a slight concentration increase at higher precipitant concentration meaning that this cluster was redissolved and thus precipitated at a higher precipitant concentration. This does not comply with the phase behavior during the precipitation step, and it is expected that this discrepancy is caused by model inaccuracies. This assumption is supported by the highest residuals of this model to the measured summed up spectra for the investigated redissolution samples above the stated threshold (data not shown). Overall, the predicted VLP spectral loadings match the measured VLP spectrum (see ). Discrepancies are visible in the regression plot (see ) only at the higher or lower values of the spectral loadings. Compared to the first and second case studies, the R 2 value of the third case study for the spectral loadings is lower indicating a greater deviation of the predicted spectra to the measured spectrum. The highest RMSEP is partially caused by the different scale and the model mismatch which can be seen in . Additionally, the required preprocessing of the VLP screening data included the second derivative to enhance subtle spectral differences between the screened solutions. The spectral preprocessing may lead to higher discrepancies in and lower accuracy compared to the first and second case studies, but led to a robust model.
In summary, the choice of the correct model component and preprocessing techniques is crucial for the model outcome. These need to be selected with care when the investigated screening solutions involve complex solutions. Theoretical knowledge of selective precipitation and crystallization processes helps finding valid PARAFAC models. Nonetheless, the species in complex solutions demonstrating similar phase behavior can be clustered and described by one model component. In the case of co-precipitation of contaminants with the target molecule, the model may merge the spectra of these species in the predicted spectral loadings.
4.3 Experimental and preprocessing differences between the case studies
The experimental setup and the spectral data preprocessing of each case study required adjustments to the specific protein system. This subchapter focuses on the preprocessing differences between the investigated case study, the experimental screening variations between selective crystallization and selective precipitation studies, and their possible effect on the calculated PARAFAC models.
The time smoothing range for the final models of the crystallization case study was lower than for the precipitation case studies (see ). The four times higher flow rate of the UV/Vis spectral analysis in the first case study is the reason, as the sample passed by the detector in a shorter time (compare , , and ) as the time-resolved, spectral information of the sample is comparable between the case studies after preprocessing. Longer time-wise smoothing may lead to the removal of important information for the model calculation. The selected wavelength range for the first case study was broader than for the other two (see Subchapter 2.4.1) since CytC was present in the first case study and has a second absorption maximum at 410 nm.
The third case study required the calculation of the second derivative (see ). Possible reasons could be that the target molecule VLP did not present distinct spectral differences to the contaminants (Mach et al., 1989) or contributed less to the measured spectra compared to target molecules of the first and second case studies. The target protein absorption shares of the initial material was high with 89.24% and 42.82% for the first and second case study, respectively. The VLP absorption share could not be determined as quantitative UV/Vis absorption data as a reference were missing. The large amount of UV/Vis-absorbing contaminants in the VLP lysate may interfere with the identification of the component representing VLPs. The differences in the time profile peak maxima of the target molecules compared to the contaminants support this assumption (see , , and ).
For each case study, the buffer system was adapted to the requirements of the target molecule. The buffer substances were not UV/Vis-active in the used concentration and did not affect the model calculation.
On the contrary, the precipitant AMS showed UV/Vis-absorbing behavior in the second case study and had an impact on the constructed models. A possible reason could be that the light refraction occurs when solutions of different density (mobile phase and sample solvent) pass the detector (Raval and Patel, 2020). This strongly depends on the screening AMS concentration and the sample dilution prior to the UV/Vis analysis. In the first case study dealing with the selective crystallization of Lys, the maximal screening AMS concentration was four times lower than in the second and third case studies.
The dilution factors for the first, second, and third case studies varied (see Subchapter 2.2) and were adjusted according to the total absorbance of the initial material at wavelength 280 nm. Taking all these factors into account, the analyzed samples of the second case study (mAb) contained the highest AMS concentration and thus the AMS concentration contributed to a greater extent to the recorded UV/Vis spectra. The constructed model compensated this by describing the precipitant concentration with its own model component (see ). UV/Vis data recorded of buffer solutions containing different amounts of AMS is shown in Supplementary Figure S1 and support this explanation.
The screening volume, screening size, and the analyzed process step solutions differed. The first case study (Lys crystallization) investigated 96 different conditions in 24 µl batches with eight different Lys starting concentrations and twelve precipitant concentrations. Only the supernatant samples of the crystallization step were analyzed. The spectral data set size was varied in this case study. Screening conditions that did not show concentration changes of the target molecule were excluded for model calculation. It was found that a large screening size with little variety in species composition and concentration ratios does not improve the model robustness but decreases the CORCONDIA value and increases the model error (data not shown). Preferably, the model error is low and the CORCONDIA high indicating an appropriate component number (Bro and Kiers, 2003) and, hence, a valid model. The second and third case studies screened twelve different precipitant concentrations in 500 µl batches for the selective precipitation of mAbs and VLPs. Samples were analyzed during the precipitation, the wash, and the redissolution step leading to a variety of 36 analyzed samples per screening differing in species compositions and concentration ratios. This sample variety improved the model calculation as the CORCONDIA of the final models was higher and the model error lower for the second and the third case studies.
The screening volume did not affect the spectral data set or the model calculation as long as there is enough supernatant for sampling.
When selective crystallization or precipitation processes are characterized with the PARAFAC approach, the models cannot detect if the proteins crystallized or precipitated, as the generated models rely solely on the UV/Vis spectroscopic data set and specific protein concentration reductions. Regarding the experimental differences between the two processes, an additional centrifugation step is required to separate precipitate from the supernatant. Furthermore, the crystallization process requires more time than precipitation processes due to the time-intensive crystal nucleation and crystal growth of macromolecules (Durbin and Feher, 1996; McPherson, 2004).
In summary, these three case studies illustrate how the chemometric multi-way approach of PARAFAC can be applied to different phase behavior screenings with varying process conditions. The differences in spectral data preprocessing could be explained leading to a general preprocessing approach for future crystallization and precipitation screenings. Experimental differences in scale, sample dilution, screening size, and changes of the used chemicals did not interfere with the model calculation as long as the spectra of the target molecule and contaminant species contribute to the UV/Vis spectral measurement and differ in their spectral profiles. A broad variation of the different species concentrations and ratios in the data set was found to be preferred and can be achieved by analyzing different process solutions during selective precipitation or crystallization, washing, and redissolution process steps.
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See Who Signed
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2023-12-13T09:11:21+00:00
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SEE WHO HAS SIGNED THE PROMISE MAKE YOUR PROMISE Search or Scroll to see who’s already joined the Promise. Click the icons to read why so many people have decided the Jewish Future Promise is for them. MAKE YOUR PROMISE Why I made the Promise: Voices from our community
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https://www.goodreads.com/author/show/7020587.Simone_Kennedy_Doornbos
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en
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Simone Kennedy-Doornbos
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[
"James C. Kennedy",
"Simone Kennedy-Doornbos (Translator)"
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Simone Kennedy-Doornbos is the author of Een beknopte geschiedenis van Nederland (3.71 avg rating, 360 ratings, 33 reviews) and Nieuw Babylon in aanbouw ...
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https://www.goodreads.com/author/show/7020587.Simone_Kennedy_Doornbos
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