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Coastal and Marine Innovations for Sustainability A worldwide review WHAT are we exploring? 1. What innovations, to improve the quality and/or maintenance of the ES and/or optimize the exploitation of resources in a sustainable way, already exist? 2. How, where, why, when, by whom, and under what conditions were they created? 3. Which ES have been exploited? HOW did we get answers? lines of financing for this type of innovative solutions There is an increasing interest and market for innovations focused on sustainability. The examples found indicate that such innovations can be a feasible solution for tackling: • Habitat loss • Plastic waste • Climate Change • Food shortages Final Remarks WHYare we studying this subject? • Sustainable lifestyle means understanding how our choices impact the world around us and finding ways for everyone to live better1. One way could be through the development of innovations better harnessed for sustainability. This is a key matter to support the implementation of the Sustainable Development Goals2. • If we assess the international trends in the development of innovations that exploit Ecosystem Services (ES) we might be able to understand how innovations have been contributing for sustainability. • Unemployment WHICH are our results? Figure 2. Geographic distribution of innovations, focused on sustainability, found. Figure 3. International trends in the development of innovations focused on sustainability, using coastal and marine ecosystem services as guideline. Figure 1. Tools used in the review. Contacts Cátia Marques (PhD student) catia.a.marques@uc.pt Zara Teixeira (supervisor) zara.teixeira@uc.pt Funding Host Institutions References: 1 Programa das Nações Unidas para o Meio Ambiente (UNEP). (07 de 09 de 2020). Obtido de https://www.unenvironment.org/about-un-environment 2 Walz, R., Pfaff, M., Marscheider-Weidemann, F., & Glöser-Chahoud, S. (2017). Innovations for reaching the green sustainable development goals –where will they come from? International Economics and Economic Policy, 449–480 Marques C, Teixeira Z (2021). Coastal and Marine Innovations for Sustainability. A Worldwide Review. Encontro de Ciência 2021, 28- 30 June 2021, Centro de Congressos de Lisboa, Portugal. DOI: 10.5281/zenodo.14191982
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Virtual Folder—Components and Tools Tomáš Kulhánek, Chris Morris, Martyn Winn Scientific Computing Department, STFC Daresbury Laboratory United Kingdom Instruct Biennial 24-26 May 2017, Brno, Czech Republic Public and private deployment Scientific Portal Integration West-Life is a H2020 Virtual Research Environment project that will provide the application level services specific to uses cases in structural biology, covering all experimental techniques (e.g. Xray, cryo-EM, NMR, SAXS), enabling structural biologists to get the benefit of the generic services developed by EUDAT (data storage) and the EGI (grid and cloud- computing). Virtual Folder is one part of this project and aims to perform tasks and workflows of integrative structural biology with focus on data management, stored within different storage providers. The Virtual Folder leverages on software suites of CCP4, SCIPION and others. Supported storages: B2DROP, provided by EUDAT; commercial DROPBOX; any data storage providing standard WEBDAV interface (here PCLOUD). File Manager lists all files within connect- ed storages. It can show a RAW file con- tent in Text View mode —or render a view in LiteMol viewer able to visualize protein structure defined in PDB format or BinaryCIF. (Up) File Picker and Upload Dir Picker components re- ferred from third party portal. They return unique URL link- ing to file or directory.(Right) Pilot integration into DISVIS service opens popup window with File Picker http://milou.science.uu.nl/cgi/services/DISVIS/disvis/ Custom Dataset System Architecture Guide Public (Up) https://portal.west-life.eu Default portal web site. (Right Up) Login redirects to Instruct ARIA Login/ Register. (Right) After Login, User specific view of his Virtual Folder is presented. Private (Bottom) Single user. Download VM image from ap- pdb.egi.eu (OpenStack and OpenNebula templates based on Cern-VM) (18MB), bootstrap downloads additional ~100MB. Source codes https://github.com/h2020-westlife-eu/west-life-wp6 Vagrant (VM + environment) git clone https://github.com/h2020-westlife-eu/wp6-vm.git cd wp6-vm vagrant up Scientific Software Integration Scipion tools (Up) CCP4 suite (Down) access di- rectly files in the West-Life Virtual Folder. (private deployment only) Development Environment (Left) Dataset definition compo- nent. Integrated with autocomplete and other services and visualization components of Protein Databank in Europe by EMBL EBI[1], PDB-REDO databank by NKI[2] and Protein resi- due interaction by MRC Laboratory of Molecular Biology[3] [1] https://www.ebi.ac.uk/pdbe/pdb-component-library/ [2] http://pdb-redo.eu/ [3] http://www.mrc-lmb.cam.ac.uk/rajini/about.html Project partners: European Molecural Biology Laboratory (EMBL), Utrecht University (UU), Science and Technology Facilities Council (STFC), Netherlands Cancer Institute (NKI), National Institute of Nuclear Physics (INFN), Masaryk University (MU), Spanish National Re- search Council (CNIC), Consorzio Interuniversitario di Risonanze Magnetiche di Metalloprotaine (CIRMMP), Instruct, Luna Technologies. This project is funded by Horizon 2020 West-Life is part of the e-Infrastructure Virtual Research Environment (VRE) project No. 675858
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Innovative Research for a Sustainable Future www.epa.gov/research Danica DeGroot l degroot.danica@epa.gov l 919-541-2482 Alginate Immobilization of Metabolic Enzymes (AIME) for High-Throughput Screening Assays Danica E. DeGroot, Russell S. Thomas, Steven O. Simmons National Center for Computational Toxicology, U.S. EPA, Research Triangle Park, NC Objective Materials & Methods Results & Conclusions Future Directions To develop a platform to retrofit existing high-throughput screening assays with metabolic competence. Introduction The EPA’s ToxCast program utilizes a wide variety of high-throughput screening assays (HTS) to assess chemical perturbations of molecular and cellular endpoints. A key limitation of many HTS assays used for toxicity assessment is the lack of xenobiotic metabolism which precludes the detoxification as well as toxic bioactivation of chemicals tested in vitro, thereby mischaracterizing the potential hazard posed by these chemicals. To address this deficiency, we have developed the AIME platform to retrofit existing HTS assays with extracellular xenobiotic metabolism. By encapsulating human hepatic S9 in alginate microspheres, cytotoxicity and assay interference associated with direct addition of S9 is reduced. Here we demonstrate the deployment of the AIME platform to the MSTI Fluorescence-Based Thiol-Reactive Assay™. Chemicals – All chemicals were purchased from Sigma-Aldrich and stock solutions were prepared in DMSO. Alginate Immobilization of Metabolic Enzymes (AIME) – Human hepatic S9 (BioreclamationIVT; Lot OUL or TOF) was encapsulated in alginate microspheres using a modification of a cell encapsulation protocol by Lee et al. (1). In Figure 1, AIME microspheres are shown attached to a prototype lid for 384-well plates. In Figures 2-4, microspheres were made using either 10% or 20% S9 and attached to commercially available Nunc polystyrene replicators (for 96-well plates). Cytochrome P450 (CYP) Enzyme Activity – CYP enzyme activity was quantified using Promega P450-Glo kits with the following modifications: assays were performed in DMEM/1% FBS and substrate incubations were standardized to 1 hour. All assays included an NADPH regeneration system per the manufacturer's protocol. AIME Coupled MSTI Fluorescence-Based Thiol-Reactive Assay – The MSTI Fluorescence-Based Thiol-Reactive Assay™(2) was used to identify electrophilic compounds with and without metabolic competence. Eighty test compounds (prepared at their solubility limit in DMSO) were acoustically dispensed into triplicate black, 96-well plates followed by the addition of phosphate buffer (pH 7.4) containing an NADPH regeneration system (DMSO 0.1% (v/v) final concentration). AIME lids containing active human hepatic S9, heat-inactivated S9 or an empty microsphere (no S9) were added to the plates and allowed to incubate with the test compounds for 1 hour at 37ᵒC. The lids were removed and a 2X MSTI (30 µM final concentration) was added. Acetyl-MSTI was used as a positive control. The plates were incubated at room temperature for 30 minutes followed by quantitation of the fluorescent signal (excitation: 510 nm; emission 650 nm). An increase in electrophilicity was detected as a decrease in the fluorescent signal. CYP1A2 CYP2B6 CYP2C9 CYP3A4 0 10 20 30 Fold Activity/Free S9 (1 µg) Hours Percent Activity 0 1 2 3 4 5 0 50 100 150 CYP1A2 CYP2B6 CYP2C9 CYP3A4 Figure 2: Encapsulated human hepatic S9 maintains measurable cytochrome P450 activity over time AIME microspheres were incubated at 37oC in DMEM/1% FBS for the indicated time. CYP-specific pro-luciferin substrates were then added and the reaction was allowed to proceed for 1 hour prior to detection of the luciferin metabolite. Data are normalized to activity at t=0. Inset: relative CYP activity at t=0. Values represent the mean ± SEM of three measurements. -3 -2 -1 0 1 2 3 0 50 100 150 CYP1A2 [Compound] log µM Percent Activity -3 -2 -1 0 1 2 3 0 50 100 150 CYP2B6 [Compound] log µM Percent Activi
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Results and discussion 11 Tailoring birefringence of LIPSS through thin film coatings A. San Blas1,2, N. Casquero1,2, S. Sánchez1,2, L.M. Sánchez-Brea3, J. Buencuerpo3, A. Rodríguez1,2, S.M. Olaizola1,2 1 Ceit, Manuel Lardizabal 15, 20018 Donostia / San Sebastián, Spain, 2 Universidad de Navarra, Tecnun, Manuel Lardizabal 13, 20018 Donostia / San Sebastián, Spain 3 Applied Optics Complutense Group, Optics Department, Universidad Complutense de Madrid, Facultad de Ciencias Físicas, Ciudad Universitaria s.n., 28040, Madrid, Spain asanblas@ceit.es Introduction Experimental Conclusions Laser-induced periodic surfaces structures (LIPSS) present some degree of birefringence due to the orientation of the nanoripples. Among other properties, this makes LIPSS a good candidate for applications involving polarization changes such as reflective polarization gratings, polarimeters, displays or polarizing beam splitters. SHORTCOMING - Low parameter tunability. Fabrication of LIPSS in a small depth and periodicity range. SOLUTION - Introduction of a new degree of freedom. Thin film dielectric coatings modify the optical properties of the material, specifically, reflectivity and birefringence. Dielectric thin film coatings are a good candidate for the tunability of LIPSS birefringence. Reflectivity can be improved for certain wavelengths by varying coating thickness. LIPSS irregularities need to be fixed or taken into account. Coating structure is conformal rather than uniform. Preliminary study with promising results, further research is being carried out. Acknowledgements Characterization Determination of the reflectivity in a broad spectrum (400-1100 nm) with a supercontinuum laser and an integrating sphere to collect the reflected light with output for a spectrometer. Transversal profile and film thickness analysis by means of SEM (Scanning Electron Microscopy) and FIB (Focused Ion Beam). Platinum is deposited on the sample before the FIB procedure in order to protect the surface of the sample. Fabrication Stainless steel samples processed with femtosecond laser focused on the surface of the sample to fabricate nanostructures (LIPSS) with an estimated period of 600 nm and depth of 300 nm. The sample was moved with X, Y and Z stages at a speed of 1 mm/s, processing lines of 10 μm width in each pass, moving in parallel trajectories until the desired size is achieved. Pulse energy used was 1 μJ. Polarization of the laser was controlled with a half-wave plate so that the orientation of the generated LIPSS were perpendicular to the direction of the processed lines. The samples were cleaned in a 5 minutes ultrasonic bath with acetone. Polarization changes induced by the sample were measured with a polarimeter using a half-wave plate in combination with 633 and 808 nm continuous laser sources at 25º incidence with respect to the surface normal and linear polarization at 45º with respect to LIPSS orientation. Afterwards, thin film coatings of thicknesses 50, 100, 200 and 300 nm of SiO2 or Si3N4 were deposited in the different samples through PECVD (plasma enhanced chemical vapor deposition). Numerical simulations FDTD simulations of the effects on polarization as a function of LIPSS parameters (depth, periodicity) and coating thickness in SiO2. Coating structure and LIPSS characterization In the range of thicknesses used in this experiment, the coatings present good conformality to LIPSS. Promising result regarding the numerical simulations, which show that the structure of the coating is a key parameter. The profile of LIPSS shows irregularities with average depth of 340 nm. LIPSS periodicity of ~630 nm has been measured through 2D-FFT analysis of the SEM images. Reflectivity High reflectivity is very desirable for potential applications. Our results show that thin film coatings modify LIPSS reflectivity in certain regions of the spectrum depending on coating thickness and material, improving LIPSS performance. Birefrin
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Improving the workflow of real-time fMRI Neurofeedback experiments Michael Lührs1,2, Florian Krause1,2, Caroline Benjamins1,2,Sascha Brunheim1,2, Judith Eck1,2, Quentin Noirhomme1,2, Mona Rosenke1,2, Rainer Goebel1,2 1Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands 2Brain Innovation B.V., Maastricht, Netherlands, Introduction Methods During the last decade the number and complexity of real-time functional magnetic resonance imaging (rtfMRI) neurofeedback (NF) experiments has dramatically increased. We developed a new software to improve the workflow of standard rtfMRI NF experiments and thus make these applications more accessible for clinical settings. The newly developed software combined with the improved workflow promises to reduce the amount of possible errors when running rtMRI NF experiments as well as the required scanning time. These developments can be applied to multiple MR systems and experimental designs allowing even novel experimenters to run complex rtfMRI NF experiments. We applied the workflow on a Siemens Prisma scanner in combination with Turbo-BrainVoyager 3.2, a real-time analysis software for fMRI data and Expyriment [1] for stimulus as well as feedback presentation. Results The workflow was used in nine rtfMRI experiments with three different subjects. Each experiment consisted of 54 minutes of scanning. We were able to complete five runs in each session in less than 90 minutes including the acquisition of pulse and respiration data. The Scan Session Tool hereby aids in recording all scanning details in a standardized way and allows the automatic organization of all scanning related data and files, thus facilitating/simplifying multi-center studies. The FBE shows a delay in data transfer times compared to the COE. The jittering in FBE s not present in COE. The COE was in mean 293.37ms faster than FBE. Standard deviation in FBE (87.14ms) was much higher compared to COE (18.29ms) due to the observed jitter and file read write procedures. The jittering artefact seems to be related to data size and TR. Similar results were observed using a Siemens 3T Prisma MRI. Conclusion We showed that standardizing the procedure of rtfMRI NF experiments is important to decrease the probability of errors while at the same time reducing the difficulty to perform an rtfMRI NF experiment. Additionally we showed that the connection oriented data transfer procedures of fMRI images leads to an decrease in transfer time variability. The research leading to these results has received funding from the European Community's Seventh Framework Programme FP7/2007-2013 under grant agreement number PITN-GA-2011-290011. Usual rtfMRI NF experiments consist of multiple scan sessions for which the main structure is the same or similar for all sessions and subjects. Assuming this repetitive structure, the improved workflow offers several small automatized procedures to simplify the tasks involved in running the experiments. As a first step we predefine one rtfMRI NF experiment session and prepare all necessary settings and components in advance. These configurations can be used for the session without changing the settings during the experiment. One example workflow (Figure 1) consists of a structural scan followed by a functional localizer (FL) and multiple NF runs. Figure 1: rtfMRI NF experiment workflow 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900 2000 2100 2200 2300 2400 2500 2600 2700 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 Time after trigger (ms) Volume Data transfer times (Siemens 7T Magnetom) 1000TR Fast 1000TR Slow 1250TR Fast 1250TR Slow 1500TR Fast 1500TR Slow 1750TR Fast 1750TR Slow 2000TR Fast 2000TR Slow Because of errors and problems t
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Gaps and rings at ice lines: Icy pebbles and small rocky dust Katrin Ros, Lund University katrin.ros@astro.lu.se We modelled particle growth by condensation around the water ice line: The result is a bimodal size distribution with fast-growing icy pebbles locally at the ice line and small, rocky dust particles spreading out over the disc. This supports the idea of disc substructures forming at ice lines. Distinguishing between nucleation of ice on rock, and deposition of vapour on already ice particles, is the key to growth. 2000 4000 6000 8000 10000 t/yr 0.01 0.10 1.00 amax/cm 2B, nucl+dep 1B, dep only Key concept: Vapour can freeze out on icy particles, but not on bare rocky surfaces. Why? 0 1 2 3 4 5 Scrit 2.0 2.5 3.0 3.5 4.0 4.5 r/au 180 160 140 T/K Scrit, sil Scrit, ice rice sublimation deposition nucleation S ice line Radial distance S Particle size 1.0 0.1 Icy particles (blue) grow when vapour (red) freeze out on them — vapour deposition. Result: The difference between nucleation and deposition is the key to growth Result: Icy fast-growing pebbles at the ice line, small rocky dust elsewhere Sketch of the model ice line Critical saturation ratio for deposition on ice Scrit,ice=1 (blue), and for nucleation on silicate Scrit,sil=-0.0626T+13 (black), experimentally determined by Iraci et al (2010). The saturation ratio we find in our model is overlaid as a grey dotted line. This saturation ratio allows for sublimation and deposition, but never reaches high enough values for nucleation. Starting from micron-sized and millimeter-sized particles, after 1000 years we find cm-sized icy pebbles at the ice line, while surrounding regions are dominated by small dust. Blue is ice-covered particles, black is bare, rocky particles. Collisions are not included in this model. 2.0 2.5 3.0 3.5 4.0 r/au 0.0001 0.0010 0.0100 0.1000 1.0000 a/cm (b) Locally at the ice line: deposition-dominated growth to icy pebbles Sublimation region: small rocky dust. No growth: small particles diffuse out over the disc ice line simple model full model Pebbles move across the ice line due to radial drift (grey left- pointing arrows). Sublimation results in a silicate nucleus (black) and water vapour (red). Turbulent diffusion (grey swirls with right-pointing arrows) spread vapour and small particles out over the disc. Bare dust grains cannot get a new ice mantle (nucleation) since the vapour pressure at the ice line is too low. All vapour is instead deposited on icy particles as in 1. Saturation ratio: vapour pressure/ saturated vapour pressure 1 2 3 4 5 In our full model (blue) where we included the difference between nucleation and deposition icy particles grew from mm to cm. In a simplified model (red) where vapour freezes out equally well on rock and ice most of the vapour condenses on small dust, and particles did not grow above mm. Ros, Johansen, Riipinen & Schlesinger, A&A, 2019
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P THE COMMUNICATORS MANAGE CITIZEN SCIENCE PROJECTS, DESIGN AND IMPLEMENT PUBLIC ENGAGEMENT STRATEGIES, DEVELOP INNOVATIVE AND OPEN EDUCATION MATERIALS AND ACTIVITIES, DISSEMINATE SCIENCE IN SOCIAL MEDIA, SUPPORT SCIENTISTS IN DEVELOPING THEIR OWN OPEN COMMUNICATION PRACTICES, ENDORSE OPEN SCIENCE, COMMUNICATE ACROSS DIVERSE DISCIPLINES AND SECTORS… THE EVALUATORS DESIGN A HOLISTIC RESEARCH EVALUATION FRAMEWORK, INNOVATE INDICATORS, DRIVE A CULTURAL CHANGE, ALIGN EVALUTION METRICS WITH RESEARCH STRATEGIES AND MISSIONS, DELIVER EXPERT RECOMMENDATIONS TO FUNDERS AND POLICY MAKERS… TRAINING THE ARCHITECTS DESIGN AND MANAGE DIGITAL INFRASTRUCTURE, TECHNICAL SUPPORT FOR USERS, ENSURE INSTITUTIONAL COMPLIANCE WITH THE LEGAL STANDARDS AND FRAMEWORKS FOR: BUILDING INFRASTRUCTURE, ACCESSING, MANAGING AND SHARING RESEARCH OUTPUT WITHIN AN OPEN SCIENCE SYSTEM… Open Science advocacy influences research in three interdependent areas: research policies and practices, the role of society in research, and the management of research output. To fully embrace and adopt Open Science principles, research institutions need dedicated professionals at the interface of research and society to empower the actors involved. In this poster we present the “Documentalists Working Group” in Catalonia as a use case of a bottom-up community of practice helping their centres to successfully ride the wave of Open Science. The “Documentalists Working Group” brings together professionals from ten Catalan research centres (BSC, CRG, IBEC, ICFO, ICIQ, ICN2, IDIBABS, IFAE, IRB Barcelona, IRTA) and is a community of practice on management of research output. The objective of this group is to define synergies in workflows in scientific publication and research data management, to tackle challenges through peer-to-peer learning, and consult experts jointly. We will also explore how Open Science devises new career paths for researchers and research related professionals following the demand for Open Science facilitators that (i) engage and train researchers to participate in Open Science practices, (ii) provide opportunities to collaborate with the society, (iii) support the development and implementation of new evaluation schemes, and (iv) provide access to needed infrastructure. The Role of Research Management in Open Science DOCUMENTALISTS Working Group in BCN Publication Management & Reporting Open Access to Publications Training OA, Licensing To be a community of practice of professionals with Documentalist’s responsibilities at research centres in and around Barcelona. Increase awareness in research community TASKS CHALLENGES COLLABORATORS 3.100 Publications per anno 2.600 Researcher Associated Univ. libraries CSUC Mary Hirsch and Sonja Reiland Centre for Genomic Regulation, Barcelona Institute of Science and Technology IDEA & PROPOSAL TEST & METHOD DATA & Obs. MODEL CODE RESEARCH Articles EDUCATE & Train Open Educational Resources OPEN RESEARCH LIFECYCLE REVIEW ENGAGE POLICY Context References • FosterOpenScience, Open Research Lifecycle modified version of "Open Science by Default" Workflow doi: 10.5281/zenodo.49960 • Fecher B., Friesike S. (2014) Open Science: One Term, Five Schools of Thought. In: Bartling S., Friesike S. (eds) Opening Science. Springer, Cham • OpenUp Project D 4.2 [2018] Role description: Dissemination to businesses and the public, • Mary Auckland, RLUK, [2012] Re-skilling for Research, An investigation into the role and skills of subject and liaison librarians required to effectively support the evolving information needs of researchers Research Data Management (RDM) Policies from Funders RDM Policy workshop in BCN Collaborative development of a workable Research Data Management Policy for practical research support. FOLLOW-UP Cross sectional expert and multi- institutional working Group meetings Cross sectional expert board meetings at each participating institute MISSION MISSION Organised by Documentalists Working Group and instructed by Pa
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Abstract Parkinson’s disease (PD) involves the generation of dopaminergic (DA) neurons in the substantia nigra, causing tremor and motor impairment. Defects in PARK2 protein are the cause of Parkinson’s disease type 2 (PARK2), also known as early-onset parkinsonism with diurnal fluctuation (EPDF) or autosomal recessive juvenile Parkinson’s disease (PDJ). In mouse model, Parkin is critical for removing dysfunctional mitochondria via autophagy. The absence of Parkin does not affect turnover under normal conditions. However, during stress conditions, Parkin helps to remove damaged mitochondria by autophagy. Innoprot has developed a novel fluorescence cell-based assay for High Content Screening to screen compounds that can promote Parkin2 mithocondrial localization without mithocondrial stress induction. In this work, we used this model to screen a library of 1200 compounds. After the screening campaign, the positive compounds were chosen for further testing, based on the strength of the initial response and the lack of cytotoxicity. Our results indicate that Parkin2 cell-based assay is a valid strategy for drug screening. Fluorescence-Based Assay Development To Screen Drugs Against Parkinson´s Disease Salado C., Kortazar D., Mella R., Roura-Ferrer M., Gámiz J. & Villacé P. Innoprot (Derio, Spain) www.innoprot.com Schematic representation of the model OMM IMM OMM IMM CCCP tGFP MTS Parkin Parkin FP602 FP602 tGFP MTS Parkin Parkin FP602 FP602 Figure 1. Schematic representation of Innoprot’s Parkin2 model in living cells. Parkin2 model is a fluorescent fusion polypeptide capable of changing its localization within the cell from the cytosol to the outer mitochondrial membrane, after CCCP addition. Parkin2 forms part of E3 ubiquitin ligase complex that mediates the targeting of proteins for degradation. CCCP is a mitochondrial proton gradient uncoupler that induces a loss of mitochondrial membrane potential (m) and therefore, promotes recruitment of Parkin2 to damaged mitochondria during the early stages of mitophagy. The second fluorescent fusion polypeptide (MTS-tGFP) allows us to visualize stability and location of mitochondria. High-content screening (HCS) in Parkin2 model uses living cells as a tool in biological research to discover and optimize new drug candidates against Parkinson’s disease. Materials and methods Cultured cells: PARK2-FP602+MTS-tGFP cell line has been obtained by a double transfection of an ex- pression vector that encodes turbo green fluorescent protein (tGFP) fused to mitochondrial targeting sequence (MTS) derived from the subunit VIII of human cytochrome C oxidase and a vector containing PARK2 protein fused to FP602 red fluorescent protein. U2OS PARK2-FP602+MTS-tGFP cell lines were cultured into 96 wells Imaging Plates (BD) at 0.25 cells/cm2 in 200 l of DMEM 10% FBS and incubated at 37ºC and 5% CO2. Image adquisition: human tagged PARK2-FP602+MTS-tGFP stably expressing cells were treated with CCCP (positive control) at 5 M for 3 hours and library compounds at 10 M for 24 hours in Optimem. After that, the nucleus was stained with Dapi and the presence of recruited Parkin to defective mito- chondria was quantified by fluorescence using image analysis algorithms and the BD Pathway 855 image platform. Cellular viability and granularity was calculated relative to the negative control. Results Figure 2. Representative data of Parkin2 redistribution screening. An initial screening of 1200 compounds were done but toxic compounds (with a cell viability under 60% with respect to control) were eliminated from the study. Negative control (DMSO) is represented in pink and positive control (CCCP, 5 M) is represented in green. Positive compounds (with an activity over 1.5 with respect to control, I-VIII) are represented in yellow. Parkin2 redistribution was quantified by measuring fluorescence granularity. Figure 3. Colocalization assay of Parkin2 and mitochondria in presence of redistribution-positive compounds (I-V
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Genapp GenApp WillItFit QuaFit Others … UI – GUI – Web GUI HPC – Gateway The computational code Build Calculate Simulate Analyze SCT SASSIE Bringing higher end computational tools to the bench scientist to accelerate the discovery process. Current grant coming to a close. Working on transitioning to Community efforts and how to coordinate new efforts going forward. Several new projects being proposed -- plus • Networking/workshop grants • COST action proposal in Europe • looking at various US opportunities • Nurture involvement from major facilities OTHER IDEAS WELCOME
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Target muscle activation level was 10±3% of RMS MVC when active and < 10 µV at rest. TMS Delivered at 120% active motor threshold (AMT) for each muscle. Each map used 120-150 pseudorandomly placed stimulations [3]. Data collection and analysis Coil and head 3-D positions and orientations, and MEPs, at times of TMS stimulation were saved using custom soft­ ware*. 3-D stimulation locations were fitted to a sphere, then represented in 2-D spherical coordinates. The cloud of MEP values & positions was resam­ pled onto a regular grid (MEPest) using radial ba­ sis function interpolation. Is muscle co-activation preferentially driven by overlapping cortical map regions? Matthew J Ward, John Cirillo, Angus J C McMorland Department of Exercise Sciences, University of Auckland Overlapping cortical muscle maps: a substrate for synergistic activation? Fast, optically tracked, dual-muscle TMS mapping Contact information Dr Angus McMorland a.mcmorland@auckland.ac.nz * https://github.com/mwar136/TMS-map­ ping-and-analysis References head marker coil marker on end AD electrode FDI electrode Optical tracking (Polaris, NDI) of coil and head during mapping and recording of EMG from AD and FDI. Tasks Repetitive actions, in time with a metronome (4 - 5.5 s per stim): 1) thumb-index finger pinch; FDI map only 2) push peg with palm, from shoulder; AD map only 3) combined - pinch & push; map both muscles AD (blue) and FDI (red) muscle maps during in­ dependent (A) and synergy (B) movements. Maps show large overlap, particularly of highly excitable areas. Centre of gravity (COG) of FDI (red square) is lateral of AD COG (blue triangle) in both maps. Position is relative to Cz. FDI AD 40 -20 -80 -10 ML (mm to Cz) AP (mm to Cz) Motor cortical representations of proximal and distal muscles, such as anterior deltoid (AD) and first dorsal interosseous (FDI), overlap [1, 2]. Motor evoked potential (MEP) amplitude in response to transcranial magnetic stimulation (TMS) of motor cortex. 1. H. Devanne et al., The comparable size and overlapping nature of upper limb distal and proximal muscle representations in the human motor cortex. Eur. J. Neurosci. 23, 2467–2476 (2006). 2. J.-A. Rathelot, P. L. Strick, Muscle representation in the macaque motor cortex: an anatomical perspective. Proc. Natl. Acad. Sci. U. S. A. 103, 8257–8262 (2006). 3. M. van de Ruit, M. J. L. Perenboom, M. J. Grey, TMS brain mapping in less than two minutes. Brain Stimul. 8, 231–239 (2015). 4. H. Devanne, L. G. Cohen, N. Kouchtir-Devanne, C. Capaday, Integrated motor cortical control of task-related muscles during pointing in humans. J. Neurophysiol. 87, 3006–3017 (2002). Overlap of cortical muscle maps may facilitate synergistic co-activation of muscles. This study tests the hypothesis: During synergistic tasks, overlapping portions of the muscle maps are preferentially activated compared to non-overlapping regions. Participants Participant Age (Years) Sex Laterality Index (%) AD AMT (%MSO) FDI AMT (%MSO) 1 22 F 100 58 38 2 21 M 100 78 40 3 22 M 67 68 36 4 32 M 100 46 34 5 21 M 100 33 28 6 22 M 100 66 45 7 22 M 100 70 46 8 31 F 100 60 33 9 21 F 67 69 30 10 23 M 100 66 25 11 21 M 71 60 44 12 21 F 100 68 38 13 23 M 100 63 46 Mean 23.2 69% M 92.7 61.9 37.2 SD 3.75 14.0 3.2 1.9 1. No evidence for preferential excitation of over­ lapping regions of muscle maps for synergistic activation. 2. No change in overall excitability in the syner­ gistic task suggests that FDI and AD are inde­ pendent in terms of co-activation, which has im­ plications for horizontal connectivity (excitatory or disinhibitory) between the networks associated with these muscles. 3. FDI may be ‘special’; previous studies suggest coactivation of FDI and ECR is not similarly inde­ pendent [4]. All subjects were healthy and right-handed. As expected, active motor threshold was lower (above), and MEP amplitude was higher (below) in FDI than AD, because direct corticospinal projections innervate distal muscles more than proximal.
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www.gapmaps.org Sharing and modeling groundwater contamination data with the Groundwater Assessment Platform (GAP) Fields of application Joel Podgorski and Michael Berg Eawag, Swiss Federal Institute of Aquatic Science & Technology, Dübendorf, Switzerland (contact: joel.podgorski@eawag.ch) Create contamination hazard prediction maps GAP layers L. Rodríguez-Lado et al., Ground- water arsenic contamination throughout China. Science 341, 866–868 (2013). Modeling is conducted using logistic regression. Users supply their own point data as the dependent variable. Independent variables may be chosen from the publicly available GAP layers or user-supplied raster or polygon layers. The model may be used to create a map and exported as a GeoTIFF. Model output includes statistics on independent variables, model classification and an ROC curve China arsenic prediction map produced through statistical programming Comparison modeling offline vs. GAP Nearly identical map produced with much less effort in GAP Groundwater contamination maps SE-Asia arsenic prediction map Pakistan arsenic prediction map General modeling procedure GAP contains various global, regional and country-level prediction maps of geogenic groundwater contamination. These have been produced by geostatistical modeling of measured concentration points with spatially continuous environmental predictor varia- bles. The maps indicate areas that are likely highly contaminated and require testing. Introduction: The Groundwater Assessment Platform (www.gapmaps.org) is a free, interactive online GIS platform for the mapping, sharing and statistical modeling of groundwater quality data. Users can upload and control the display parameters of their geospatial data as well as share their data with individual users, community groups or the public. The modeling functionality uses logistic regression and allows users to take advantage of publicly available global datasets of various environmental parameters to produce prediction maps of their contaminant of interest. Upload own data and manage display settings Upload rasters, shapefiles or point data Set the symbology, e.g. filters, symbols Swiss Federal Institute of Aquatic Science and Technology Areas of application Although originally dedicated to addressing the geogenic groundwater contaminants arsenic and fluoride, GAP was de- signed in a general manner such that it can be applied to any other geospatial contaminants or measurements of interest. Possible other applications include anthropogenic contaminants (e.g. nitrate, salinity) or soil contaminants. Share data with a user, community or the public Communities Example of publicly shared data
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Poster title:Modelling of energy demand for e-pentration technologies in the transport sector :In the context of Ethiopia. Author(s):Tessema,Tegen Dagnew Affiliation(s):Bahir Dar University,Ethiopia 1. Context Contact: names and emails 5. Policy insights, conclusions and future work 3. Methods & Scenarios Scenarios: • The current energy source of the transport sector of country is mainly depends on Petroleum\fuels.However,the price of petroleum highly affect the transport sectors as the country doesn’t have its on production of petroleum energy supply chains . • As a result, penetration of additional technologies like e-vehicle by 50% by the next 2050’s,could be a good startegey as a viable Technology mix to satisfy the demands of the transport sector . Assumptions: The potential of petroleum fuels in the future will be diminishing, and could not satisfy the transport sector energy demand. A switch to e-technologies at a penetration level of 15% increment in every decade to the level of 60 % can improve the energy security of the country. 2. Aim Socio economic profile of Ethiopia: • Ethiopia ,Landlocked country in the horn of Africa • Total area 1.13million square.km. • Population estimated (2020):117.87million • Urban population:24.7527 million,(21%) • Rural population :93.118million(79%) • GDP:$925USD •As of July 03/2023,the transport sector of Ethiopia heavily depends on petroleum oils with an import of 3.72 billion cubic meters per annum of petroleum for 72.60 billion Birr with a sky rocketed price for every year. •A switch to e-technologies at a penetration level of 20% increment in the coming 2050 years level of 60 % can improve the energy security of the country. 4. Results Country Flag 6. References References : References : 1.Sustainable Development Goals Report - United Nations Sustainable Development,acess date,July 11,2023 2.EA – International Energy Agency,acess date,July 10,2023 3.The Ethiopian energy sector and its implications for the SDGs and modeling Amsalu Woldie Yalewa’ Foscari University of Venice, Via Torino 155, Venice 30172, Italy 4.Climate Compatible Growth – Providing research and global public goods to help countries develop strategies, plans, and policies to attract investment into low-carbon growth opportunities.,acess date,July 12,20223 5.Ethiopia Energy Statistics - Worldometer (worldometers.info) The aim of this study is to investigate the impact of switching of e- vehicles in the final energy demand to the context of Ethiopian transport sector . • Here in ,the energy demand modeling were carried out in the transport sector of Ethiopia .we can realize that there is an increase in energy demand by 10% (average)when we switch the e-vehicles by 60% by the next 2050 as compared to the BAU scenario. • Moreover,the energy demand share of by the mobility activity by bus and car takes a huge share of (48%) as compared to freight and international transport. • As a policy insight, the result which was been obtained from this modeling probably have some discrepancy with the realty as there is little well organized data policy on the transport sector of Ethiopia. • To promote the e-vehicle in the Ethiopian transport sector, the charging infrastructure should the Ethiopian government as the first of the first priority to adopt at good penetration level. • Massive deployment of e-vehicles in the public transport and freight activities. • ICTP JOINT SUMMER SCHOOL FOR SUSTAINABLE DEVELOPMENT | 2023 Figure #. Caption. A Cost-benefit analysis of Policy, Programs and Projects (C3PO) that is Retrievable, Reusable, Repeatable, Reconstructible, Interoperable and Auditable (u4RIA) (A) (B) Tessema ,Tegen dagnew,email:tegi1246@gmail.com CC CC DC
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Parestesias misteriosas: trastorno orgánico vs síndrome conversivo. María Ríos Vaquero1, José Barana 2, Gloria Lorenzo Chapatte1, Lorenzo Rojas Vázquez1, Teresa Jiménez Aparicio1, Luis Sobrino Conde3. 1: MIR. Servicio de psiquiatría. Hospital Clínico Universitario de Valladolid.; 2: MIR. Servicio de psiquiatría. Centro Asistencial Universitario de Palencia.; 3: PIR. Servicio de psiquiatría. Hospital Clínico Universitario de Valladolid. Se presenta un caso en el que se expone la dificultad del abordaje clínico a la hora de filiar episodios con sintomatología de posible etiología diferente frente a la categorización teórica de los mismos. Se expone el caso de una mujer de 26 años de edad, de origen extranjero que visita en repetidas ocasiones en el servicio de urgencias por presentar episodios sincopales y alteración en la sensibilidad en hemicuerpo y hemicara izquierdos que tras estudio por neurología impresiona de posible síndrome conversivo. Sin embargo al realizar historia completa en las sucesivas visitas se detallaron otros posibles factores de interés como síndrome de churg Strauss del padre, epilepsia y valvulopatía mitral en hermana gemela y sintomatología depresiva en su madre. Se le cita para realización de varias pruebas complementarias a las que la paciente no acude, lo que llama la atención. -RMN cerebral: Cisterna Magna Vs quiste aracnoideo retrocerebeloso. Nódulos subependimarios múltiples. -RMN cervical sin hallazgos reseñables. -RMN dorsolumbar, EEG y holter: no acude. En este caso planteamos realizar el diagnóstico diferencial con diferentes patologías que también cursan con misma sintomatología como el sd. Churg Strauss, compresión vertebral de raíces nerviosas o causa funcional. Se realiza seguimiento en consultas de neurocirugía y de psiquiatría realizando tratamiento con escitalopram y alprazolam con ligera mejoría. Además realiza psicoterapia. En este caso no queda claro la presencia de patología orgánica dada la poca colaboración a la hora de realizar pruebas complementarias. Si bien esto apoya la impresión de ser de causa funcional o simulada. Revisando la literatura científica en algunos casos es dificultoso esclarecer la etiología del cuadro y se debe tener en cuenta una visión multidisciplinar abordando el caso en su conjunto. INTRODUCCIÓN Y OBJETIVOS DESCRIPCIÓN DEL CASO PRUEBAS COMPLEMENTARIAS DIAGNÓSTICO DIFERENCIAL Y TRATAMIENTO DISCUSIÓN Y CONCLUSIONES BIBLIOGRAFÍA:
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Efficient Approaches for Online Training of Gaussian Process Models in Multi-objective Coastal Groundwater Management Weijiang Yu1, Domenico Ba𝐮̀ 1, Alex S., Mayer2, Mohammadali Geranmehr1 1Department of Civil and Structural Engineering, University of Sheffield, UK. 2Department of Civil Engineering, University of Texas at El Paso, USA. Abstract: In coastal groundwater management, data-driven surrogate models constitute attractive tools for replacing complex groundwater simulators, providing aquifer response to pumping at a fraction of the computational costs. For simulation-optimization assisted management, building an “online” trained surrogate involves updating it at each iteration by incorporating newly identified optimal pumping patterns into the training set, enabling the derived optimal pumping solutions to gradually converge towards the ones that would be found when using full-scale simulators. This approach, however, it may be computationally challenging in multi-objective management scenarios that involve multiple non-dominated solutions. This study aims to explore efficient sampling strategies for online training of surrogates. To this end, a two-objective pumping optimization problem is initially formulated based on hydrogeological conditions observed on San Salvador Island, Bahamas. Gaussian Process (GP) techniques are employed to construct model surrogates, and four online sampling strategies are proposed. For any given pumping scheme, GP models are used emulate management objectives and constraints, alongside quantifying associated uncertainties. By conducting repeated stochastic simulations using these fast GP models, it becomes possible to ascertain the probability of Pareto-optimality for each pumping scheme. Performance assessment of each training strategy involves determining the average probability of Pareto- optimality and evaluating the correlation between predictions. Findings of this study reveal a most suitable online sampling strategy for GP models among those proposed. Keywords: groundwater management, seawater intrusion (SWI) control, optimal pumping strategies, offline training, Gaussian process (GP) model
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Electronic properties of vacancy ordered double perovskites B. Cucco1, G. Bouder1, M. Kepenekian1, J. Even2, L. Pedesseau2, C. Katan1, G. Volonakis1 1Univ Rennes, INSA Rennes, Institut des sciences chimiques de Rennes, CNRS, France 2Univ Rennes, INSA Rennes, CNRS, Institut FOTON - UMR 6082, Rennes, France 1C. E. Patrick and F. Giustino, J. Phys. Condens. Matter 24, 202201 (2012) 2M. G. Ju, ACS Energy Lett., 3, 2, 297–304 (2018) Structure Splitting of the d-states Stability Optics ABX3 A = +1 (Cs) B = +2 (Pb) X= -1 (Cl, Br, I) A2BB’X6 A = +1 (Cs) B = +3 (In) B’= +1 (Ag) X = -1 (Cl, Br, I) A2BX6 A = +1 (Cs) B = +4 (Ti, Zr) X = -1 (Cl, Br, I) Electronic Properties • Cs2TiBr6 : 1.57 eV • Cs2ZrI6 : 1.65 eV DFT@GGA J. Phys. Chem. Lett. 2017, 8, 4, 772–778 Without SOC 3.87 eV 2.68 eV Band Gap (eV) DFT@PBE DFT@HSE06 Cs2TiBr6 1.57(1.64) 2.68(2.74) Cs2ZrI6 1.65(1.67) 2.58(2.59) • GoWo@HSE06 • Auto-consistent GoWo@DFT+U1 Quasi-particle corrections 2Experimental gap ~ 1.8 eV Summary • Investigation of the Ti/Zr-based VODP • The Cs2ZrI6 exhibit smaller band gap and effective masses, better stability and similar optical properties when compared to the reference Cs2TiBr6 Band structure and symmetry Charge density distribution Effective masses and its origins Quasi-particle corrections Chemical and dynamical stabilities Optical properties Acknowledgements This project has received funding from the European Union’s Horizon 2020 research and in- novation Programme under the grant agreement No 862656. The information and views set out in the abstracts and presentations are those of the authors and do not necessarily reflect the official opinion of the European Union. Neither the European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use which may be made of the information contained herein. Figure extracted from ref. 1
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Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft (AVAW) Department für Umwelt- & Energieverfahrenstechnik Montanuniversität Leoben Franz-Josef-Straße 18, 8700 Leoben, Österreich Telefon: +43 (0) 3842 / 402-5101, Fax: -5102 E-Mail: avaw@unileoben.ac.at, Homepage: avaw.unileoben.ac.at Equipment used: NIR Sorter in MUL Conclusion: • PHB has a distinct spectra & was sorted out from mixed plastic fraction for all the 10 trials. • Present research contributes to the field of Group 1 bioplastics waste management through NIR sensor- based sorting. Results: A B C D E F Spectra after pre-processing (1st derivative, smoothing and normalization) Bibliography: 1. Briassoulis, D., Pikasi, A., & Hiskakis, M. (2019). End-of-waste life: Inventory of alternative end-of-use recirculation routes of bio-based plastics in the European Union context. https://doi.org/10.1080/10643389.2019.1591867 2. Briassoulis, D., Pikasi, A., & Hiskakis, M. (2020). Recirculation potential of post-consumer /industrial bio-based plastics through mechanical recycling - Techno-economic sustainability criteria and indicators. Polymer Degradation and Stability, 109217. https://doi.org/10.1016/j.polymdegradstab.2020.109217 3. European Bioplastics. (2020). FREQUENTLY ASKED QUESTIONS ON BIOPLASTICS. European Bioplastics. https://docs.european- bioplastics.org/publications/EUBP_FAQ_on_bioplastics.pdf 4. Helena Wedin, C. Gupta, Pailak Mzikian, F. Englund, R. Hornbuckle, Vittoria Troppenz, Lucijan Kobal, M. Costi, D. Ellams, & S. Olsson (2017). Title : Can automated NIR technology be a way to improve the sorting quality of textile waste ? In 5. Lorber, K., Kreindl, G., Erdin, E., & Sarptaş, H. (2015). Waste Management Options for Biobased Polymeric Composites. In 6. Zhu, S., Chen, H., Wang, M., Guo, X., Lei, Y., & Jin, G. (2019). Plastic solid waste identification system based on near infrared spectroscopy in combination with support vector machine. Advanced Industrial and Engineering Polymer Research, 2(2), 77–81. https://doi.org/10.1016/j.aiepr.2019.04.001 Introduction: • Near-infrared (NIR) spectroscopy technology vastly used in waste sorting4,6. • Bioplastics market share increasing gradually1,2,3. • Currently, Group 1 bioplastics are incinerated1,3,5. • No present research on sorting of PHB using NIR sorter. • Research Question: Whether the NIR spectrum of polyhydroxybutyrate (PHB) coincide with the spectra of polylactic acid (PLA) and the 6 selected conventional plastics, and whether they could be sorted out from the mixed plastic fraction? Summary: • ESR 7 of Circular Plastics Network for Training (C-PlaNeT) project. • Research is focused on improving capture of Group 1 bioplastics via waste collection and sorting. 3 Bioplastic Groups Source: European Bioplastics Group 1 Group 2 Group 3 Evaluation of a near-infrared sorting system for bio-based and biodegradable plastics Namrata Mhaddolkar, Daniel Vollprecht Montanuniversität Leoben, Franz-Josef-Str. 18, A-8700 Leoben The project C-PlaNeT has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska Curie grant agreement No. 859885. Namrata Mhaddolkar namrata.mhaddolkar@unileoben.ac.at Samples used: PHB
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Beamed super-Eddington emission from a weakly magnetized neutron star - an ultraluminous X-ray source (ULX) David Abarca⋆1, Kyle Parfrey2 & Włodek Kluźniak1 1Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences 2School of Mathematics, Trinity College Dublin, Dublin 2, Ireland ⋆dabarca@camk.edu.pl Abstract We model an ultraluminous X-ray source using a global 2D axisymmetric general relativistic radiation magnetohydrodynamic simulation of super-Eddington accretion onto a neutron star with a 10 billion Gauss dipolar magnetic field. We found that the magnetic confinement of the gas into accretion columns along with the interaction of the gas with the neutron star surface produce a total luminosity of a few times the Eddington limit. Furthermore, this radiation is beamed by outflows from the accretion disk causing the apparent isotropic luminosity to exceed 1040 erg s−1, showing that low-magnetic field neutron stars can be good candidates for the central engines of ULXs. Neutron stars power ULXs What is a ULX? • Bright, extragalactic object with X-ray luminosities L ≳1039 erg s−1. • Not observed in the central region of galaxies, i.e., not an active galactic nucleus/supermassive black hole. The Eddington luminosity LEdd = 4πGMmpc σT , for a 1 M⊙object is approximately 1040 erg s−1. Bachetti et al. (2014) observed a ULX along with ∼1 s coherent pulsations, indicating a neutron star accretor with a super-Eddington luminosity. About a dozen such objects have been found, and there is evidence that even non-pulsating ULXs may be powered by neutron stars (King et al. 2017; Wiktorowicz et al. 2017). GRRMHD simulations Super-Eddington accreting neutron stars are excellent systems for applying general-relativistic radiation magne- tohydrodynamics (GRRMHD). • Strong gravity from the neutron star requires general relativity. • Super-Eddington accretion mean radiation pressure becomes dynamically important which requires radiation hydrodynamics. • Accretion is inherently a magnetoturbulent phenomenon, which requires magnetohydrodynamics to describe properly. GRRMHD Equations ∇µ(ρuµ) = 0 Conservation of mass ∇µT µν = Gν Conservation of matter momentum-energy ∇µRµν = −Gν Conservation of radiation momentum-energy ∇µF ∗µν = 0 Source-free Maxwell’s equations 20 10 0 10 20 r[GM/c2] 14 15 16 17 18 19 log10 c E, [ergcm−3] 5 4 3 2 1 log10 ρ[gcm−3] Figure: Snapshot (upper) and time-averaged (lower) plots of the radiation energy density, left, and the gas rest-mass density, right. We plot equispaced contours of Aφ, the φ component of the vector potential, which correspond to poloidal field lines due to the axisymmetric nature of the problem. A bold contour shows the remnant of a torus loop which had just reconnected with the neutron star’s dipole. Simulation details • We run the simulation using the Koral code (Sądowski et al., 2013, 2015) which solves the GRRMHD equations on a static grid for a fixed metric. • Radiation is evolved using the M1 closure scheme (Levermore 1984). • We implement the method from Parfrey & Tchekhovskoy (2017) in order to handle large magnetizations. • We use a 2D axisymmetric grid with resolution in r and θ corresponding to [512, 510] cells. • We initialize the simulation from an equilibrium torus threaded by a weak magnetic field. The neutron star magnetic field is initialized to a dipole with a maximum field strength of 2 × 1010 G. • The boundary condition is set to return a fraction (75%) of the inflowing energy as outflowing radiation. • The simulation is run for 80,000 GMc−3. Simulation Result As the simulation evolves, the magnetorotational instabil- ity develops in the disk driving accretion. The infalling gas hits the neutron star magnetic field and is forced to accrete along magnetic field lines, forming accretion columns. Gas hits the the neutron star surface and becomes shocked. Ra- diation escapes through the sides of the accretion column and reaches the observer through the optically thin funnel regions along t
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Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science Book of Abstracts No. 34 (2024) Florence, Italy 1-5 September, 2024
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Delirios de Falsa Identificación: Diversidad clínica y de significación pronostica AUTORES: Zaida Gutierrez Hervás1, Maria E García-Llamas1,Sara Vega-García1, Michael C. Osorio Hualpa1, Eva Mª Romero Gomez1, Elena Martín Gil1, Yolanda Zapico Merayo1 José María Pelayo-Terán* 1, 2,3,4 FILIACIÓN: 1: Servicio de Psiquiatría y Salud Mental, Hospital El Bierzo. Gerencia de Asistencia Sanitaria del Bierzo (GASBI). SACYL, Ponferrada. 2: Unidad de Calidad y Seguridad del Paciente, Hospital El Bierzo. Gerencia de Asistencia Sanitaria del Bierzo (GASBI). SACYL, Ponferrada. 3: Área de Medicina Preventiva y Salud Pública. Departamento de Ciencias Biomédicas, Universidad de León, León. 4: Grupo CB07/09/2001, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid. INTRODUCCIÓN Y OBJETIVOS: Los delirios de falsa identificación, incluyen el delirio de Capgras y el de Fregoli, asociados tradicionalmente a la esquizofrenia. Objetivos: investigar la presentación de delirios de identificación en la práctica clínica en distintas patologías DESCRIPCIÓN DEL CASO - EXPLORACIÓN Y PRUEBAS COMPLEMENTARIAS  Caso 1: Mujer, 46 años, trastorno esquizoafectivo, delirios de Capgras, creyendo ser varias celebridades. Mejoró parcialmente con risperidona y olanzapina; a los 7 meses, está asintomática.  Caso 2: Hombre, 25 años, esquizofrenia y TEA, mostró delirio de intermetamorfosis, creyendo que era y se intercambiaba con su compañero de habitación. La respuesta a risperidona y litio fue insatisfactorias, por lo que se inicio clozapina, que fue suspendido por rechazo de paciente y familia. Mantiene clínica resistente y gran aislamiento.  Caso 3: Mujer, 64 años, esquizofrenia, delirio de capgras, convencida de que su psiquiatra había sido reemplazado por otras personas. Tratada con clozapina, mostró mejoría completa al alta.  Caso 4: Mujer, 31 años, hiperémesis cannabinoide, presentó delirios de Capgras e intermetamorfosis. Tras la resolución del desequilibrio electrolítico, los síntomas persistieron dos días más.  Caso 5: Mujer de 29 años, trastorno bipolar, delirio de Capgras, pensaba que sus padres eran suplantados por otras personas. Recibe tratamiento con AILP y permanece asintomática, realizando tratamiento intensivo en hospital de día y actualmente embarazada. DIAGNÓSTICO DIFERENCIAL Y TRATAMIENTO: Los delirios de identificación son complejos, presentes en el 10-15% de los pacientes con esquizofrenia, y también pueden aparecer en síndromes afectivos, neurológicos y orgánicos. Se
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Acknowledgements This work has been supported in part by the National Library of Medicine Grant# T15LM007124 and National Center for Advancing Translational Sciences of the National Institutes of Health Award# UL1TR001067. Contact Information Jianyin Shao jianyin.shao@utah.edu Flow of Information Discussion • On the 4x4 curated criteria sets, HCB with Dice yields the best performance with relatively high intra-set similarity and relatively low inter-set similarity. • HCB can provide similarities that match human expert cognition. • Pre-processing CUIs improves the similarity comparison, especially filtering out CUIs that are too common or general. • Other approaches can be used to refine concepts, such as using UMLS concept semantic types. • For matching patient records, metadata of the EHR can be used to select appropriate semantic types of the CUIs for similarity comparison. Introduction • Evidence-base medicine relies on well- designed and performed reproducible research. • Clinical trials are the gold standard of experimental design for examining effects of clinical intervention on patients or populations. • Current clinical trial cohort recruitment approaches may not promote reproducible research due to • Ambiguous cohort definition and varied interpretation by clinical trial coordinators. • Biases of selection of cases and controls. • Formal semantic matching patient medical record with appropriate trial eligibility criteria could improve the reproducibility of the clinical trials. Jianyin Shao, PhD1, Ramkiran Gouripeddi, MBBS, MS1,2, Julio C. Facelli, PhD1,2 Improving Clinical Trial Cohort Definition Criteria and Enrollment with Distributional Semantic Matching 1Department of Biomedical Informatics, 2Center for Clinical and Translational Science, University of Utah, Salt Lake City, Utah, USA Method • Concept Bag: clinical trial eligibility criteria and/or patient medical records can be represented by a set of UMLS concepts. • Hierarchical Concept Bag: trial criteria and medical records can be represented by a set of UMLS concepts and their ancestors. • Concepts extracted by MetaMap. • Similarity metrics: Jaccard, Dice, Cosine. Results References 1. Bradshaw RL. Concept Bag: A New Method for Computing Similarity. Ph. D. Dissertation, University of Utah; 2015. 2. Aronson a R. Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program. Proc AMIA Symp. 2001;17–21. 3. Wilcox A, Natarajan K, Weng C. Using Personal Health Records for Automated Clinical Trials Recruitment: the ePaIRing Model. Summit Transl Bioinforma. 2009;2009:136–40. Trial Criteria Extract concepts Filter out common CUIs Filter out improper POS Expand Hierarchical CUIs Pair-wise similarity for 4 sets of 4 trial eligibility criteria using different pre-processing and metrics All CUIs Retention of CUIs of specific POS* Removal of common CUIs** * Retained noun, verb, adjective, adverb and numerical cardinal CUIs. ** A common CUI list of 1648 CUIs was compiled by manual review of 195 randomly selected trial eligibility criteria (all trials ending with “000”) EHR documents or notes Extract concepts Filter out common CUIs Filter out improper POS Expand Hierarchical CUIs Match bags Score > threshold Prompt for trial notification Point of care Clinic Manager Trial Coordinator PHR
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10. M-COU in light of ΔR (Table on the left) Consider M-COU in the context of differences between R-V and R-COU. 7. Is it appropriate to use the model aspects listed in Step 4 to make predictions about R-COU? Provide rationale, evidence, or discussion. Assume that these model aspects are appropriate for R-V (or refer to the validation results) and then consider each of the differences in DR (listed in Step 6). If the validation comparison is deemed adequate, can we be confident that the aspects that are the same in M-V and M-COU, as listed in Step 4, are appropriate for the COU? Differences between R-V and R-COU, listed in Step 6, might mean that this is not so. For each aspect listed in Step 4, provide rationale, evidence or discussion on whether the model aspect is appropriate for the COU, Use the Table on right, and for each entry, ask: “is it acceptable to use this model aspect (associated column) for making predictions about R-COU, given this difference (row)?” 5. Describe ∆M Describe the aspects of the model that are different between M-V and M-COU • Phantom → virtual human • Path of device lead • … 3. Describe primary validation evidence Provide details on both the validation setting and the model for the validation setting. R-V: A saline-filled phantom implanted with the new device was placed inside an RF coil; temperature changes were measured… M-V: A geometrical model of the phantom was used with the embedded device with one RF coil. The EM/thermal model was used to compute temperature change… 1.Describe COU Provide details on both the ‘reality’ to be modelled and the model that will simulate ‘reality’. For example: R-COU: Estimate the worst-case temperature change in the tissue around the implant that might occur during MRI across a wide-array of parameters… M-COU: Solve an electromagnetic model and a thermal model using a human body anatomical model containing the device, to determine the maximum temperature change under simulated MRI conditions for a range of parameters that closely represent the clinical setting… 2. Sources of validation evidence Describe the different types of validation results and sources of evidence. Denote one as the primary validation evidence 1. Primary validation evidence: Phantom validation experiments using the new device. 2. Animal validation experiments using a previous version of the device. 3. All historical validation evidence regarding similar models with different devices. 4. Literature regarding electromagnetic simulations using human anatomical models 6. Describe ∆R Describe the relevant differences between R-V and R-COU • Phantom → human (both sexes, range of ages and BMIs) • Path of device lead • MR system present in R-COU, only RF coil in R-V • … Applicability Analysis for Biomedical Computational Models Pras Pathmanathan, PhD, Richard Gray, PhD, Leonardo Angelone, PhD and Tina Morrison, PhD APPLICABILITY ANALYSIS • Computational modelling has the potential to revolutionise 21st Century healthcare • However, despite decades of research, progress in translating computational models to clinical care has been limited. • One major challenge is demonstrating the reliability of predictions from in silico approaches Excellence in Regulatory Science Office of Science and Engineering Laboratories Model as used in context-of-use M-COU Reality being modelled R-COU ? Model as used in validation simulations M-V Validation comparator R-V Directly comparable Primary validation results Other COU-based validation results General validation results Subject matter expertise Historical data Established theory M-COU R-COU R-V M-V ΔM ΔR 4. Describe model aspects common between M-V and M-COU The model that was ‘validated’ using the primary validation evidence will likely vary from the model that is used for the context of use. However, there will be many aspects of the model that remain the same. Therefore, describe the aspects of the model that are equivalent between M-COU and M-V: • Maxwell’s eq
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KARIOS : A fast & efficient open source tool for geometric deformation analysis. Sébastien Saunier(1), P. Canonici(1), V. Debaecker, J. Louis(1), A. Beaton(2), C. Albinet(3) (1)Telespazio France - A Leonardo / Thales Company, 26 Av. JF Champollion, 31023 Toulouse Cedex 1 (France), Phone: +33 534357501, Email: sebastien.saunier@telespazio.com (2) Telespazio UK (3) European Space Agency, ESRIN The Earthnet Data Assessment Project (EDAP+) continues the work of its predecessor (EDAP 2018 – 2021) and is responsible for assessing the quality and suitability of candidate missions being considered for ESA’s Earthnet Programme as Third Party Missions (TPM). Early data assessments are publicly disclosed to the community ([RD-1]). Based on its own infrastructure ([RD-2]), Telespazio is responsible for the analysis of Very High Resolution optical data, including assessment on geometry, radiometry and image quality ([RD-3]). In most cases, inherited from design tradeoffs in the new space domain, the geometry remains a critical aspect. Main outcomes from various workshops ([RD-4]) point out the needs regarding openly available reference data and openly available data assessment processing tools. In this context, a new tool dedicated to geometric assessment has been created: Kanade Lucas Tomassi (KLT) based Algorithm for Registration of Images from Observing System’ (KARIOS) Functionalities Activities funded by the ESA / Earthnet Programme Algorithms The main driver of KARIOS initiative is to support operator for following quality control assessments • Multi temporal geolocation to evaluate the geolocation stability of the mission, • Absolute geolocation to evaluate the geolocation accuracy of an input image grid against a well-controlled absolute reference image,. • Band-to band registration to evaluate co-registration between image band grids, all within a same product. The KARIOS tool has been designed to compare two image grids (matching) and output consistent mapping accuracy analysis statistics, Results Conclusions and Future Plans Multi temporal analysis KARIOS can be orchestrated to perform multi temporal analysis over large dataset. Small changes in Processing Baseline can be easily detected, notably systematic shifts between Landsat and Sentinel 2 products and improvements (end of the period) as show in right figure (upper graphics). KARIOS is also used to validate Sen2Like processing results (right figure (lower graphics)). Validation L1C processing (before Sen2Like (left / after (left) registration S1 / S2 Image grid comparison [RD-1] ESA/EDAP VHR, HR and MR Optical Missions Webpages, https://earth.esa.int/eogateway/activities/edap/vhr-hr-mr-optical-missions [RD-2] Saunier, S.: Reference Data and Methods for Validation of Very High Resolution Optical Data Within ESA / EDAP Project, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-15501, https://doi.org/10.5194/egusphere-egu21-15501 [RD-3] Saunier, S.; Karakas, G.; Yalcin, I.; Done, F.; Mannan, R.; Albinet, C.; Goryl, P.; Kocaman, S. SkySat Data Quality Assessment within the EDAP Framework. Remote Sens. 2022, 14, 1646. https://doi.org/10.3390/rs14071646 [RD-4] The Very High-resolution Radar & Optical Data Assessment (VH-RODA) Workshop https://earth.esa.int/eogateway/events/vh-roda [RD-5] Kocaman, S., Debaecker, V., Bas, S., Saunier, S., Garcia, K., Just, D., 2022. A Comprehensive Geometric Quality Assessment Approach for MSG SEVIRI Imagery. Advances in Space Research. https://doi.org/10.1016/j.asr.2021.11.018 [RD-6] Shi, J., Tomasi, C., 1994. Good features to track. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Seattle, WA, USA, 21–23 June, pp. 593-600 [RD-7] Lucas, B. D., & Kanade, T., 1981. An iterative image registration technique with an application to stereo vision. International Joint Conference on Artificial Intelligence, 674–679 [RD-8] Saunier, S.; Pflug, B.; Lobos, I.M.; Franch, B.; Louis, J.; De Los Reyes, R.; Debaecker
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Technische Universität Braunschweig Institut für Informationssysteme http://www.ifis.cs.tu-bs.de ESSENCE facilitates hot topic detection by visualizing the novelty of author’s keywords relative to a query over time. User satisfaction Especially in the context of exploratory search ESSENCE achieves remarkable results encouraging use to continue research in this direction. Exploratory search remains one of the major problems for scientific literature search in digital libraries. Faceted search GUIs for digital libraries enable filtering results for a well-defined user need. However, they fail to deliver an overview when familiarizing oneself with a new scientific topic. How do scientists approach a new subject area? User study: 15 computer scientists were asked to describe their approaches on performing literature search on a new subject. We identified two major ones: • Reading survey papers • Studying the evolution of authors’ keywords to identify hot topics over time ESSENCE – Time-Based Exploratory Search in Scientific Literature Silviu Homoceanu, Sascha Tönnies, Philipp Wille, and Wolf-Tilo Balke {silviu, wille, balke}@ifis.cs.tu-bs.de, toennies@l3s.de
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Observations: q¹ Eri’s Disc is asymmetric Continuum emission: significantly detected Detailed exploration of the Band 7 image reveals the structure of this disc with a broad, inclined belt from ~23- 161 au, with a peak brightness radius at ~82au consistent in all directions from the star. Further, it is found inside this radius, i.e., on the inner edge, that the SW inner edge is closer to the star than the NE, and that this SW side of the disc has a higher integrated flux than the NE. Given the resolved nature of the disc and due to its inclination, we were able to observationally estimate the vertical aspect ratio at the few per cent level. CO J = 3-2 line emission: upper limit CO mass found Spectro-spatial filtering (Matrà et al. 2017) of the CO J=3-2 line was performed to investigate if any CO gas is present. A CO gas mass above 𝟒× 𝟏𝟎−𝟔𝑴Earth is ruled out. J. B. Lovell, S. Marino, M. C. Wyatt, M. A. MacGregor, K. Stapelfeldt, G. M. Kennedy, B. Dent, Q. Kral, J. Krist, L. Matrà, O. Pani'c, T. Pearce, D. Wilner References What lies beyond Exo-Jupiters? A High Resolution study of q¹ Eridani Abstract ALMA Band 6 (~1250μm) and 7 (~856 μm) observations of the >1Gyr F9V star q¹ Eri (HD 10647, HR 506) are presented, a system with a known ~2 au radial velocity planet (Butler et al. 2006) and debris disc. These resolve the broad, inclined debris disc, with a maximum brightness on both ansae at ~82au. The emission is asymmetric; the integrated flux is higher in the SW than the NE and the star is closer to the SW inner edge than the NE. HST data (Stapelfeldt et al. 2007) however have demonstrated that the scattered light is more radially extended in the NE direction. We modelled the disc, constraining its overall morphology and the origin of these disc asymmetries. We show that this is broadly consistent with a clump on the inner edge of the disc’s SW ansa. The inner edge clump is shown to be consistent with perturbations from a planet having trapped planetesimals following a period of migration, or due to a recent massive collision. Further, we constrain the vertical aspect ratio as h~5%, and show that if this is due to dynamical interactions in the disc, then this requires perturbers in the belt with sizes ~0.5 RPluto, consistent with the lower limit we set on the maximum planetesimal size (>km-sized). Conclusions 1: q¹ Eri has been imaged by HST, and ALMA in Bands 6 and 7. Our combined analysis of this planetary system’s data demonstrates that there is a broad, bright, inclined debris disk, with significant asymmetric features. 2: Modelling of the disc shows that these asymmetries can be explained by a clump in the SW of the disc, likely due to planetesimal collisions and/or planet-disc interactions. We detail this further in Lovell+ 2021 (in prep). Butler R. P., et al. 2006 ApJ, 646, 505 // Matrà L., et al. 2017 ApJ, 842, 9 // Stapelfeldt et al. 2007 Please note that this work, J. B. Lovell, et al. 2021, is still in preparation. Consequently numerical values and analysis may differ from those presented here. Joshua B. Lovell PhD Candidate, Institute of Astronomy, University of Cambridge JL638@cam.ac.uk Other work: available here Figure 1: Band 7 Image Figure 2: Models (top) & residual images (bottom) Institute of Astronomy, University of Cambridge, UK Disc Modelling: A Clump in the South-West Our observational analysis drives all scenarios considered in our sub-mm disc modelling, in which we consider a symmetric disc, an eccentric disc, and variants of these including a clump in the SW (see upper panel, Fig.2). We find the best fit to our data and our residual images is the symmetric disc with a clump (“CL”), given that this model: - fits the inner edge offset asymmetry; - fits the integrated flux asymmetry; - results in no residuals >3σ coincident with the disc. A recent collision or planet perturbations? We explore two possibilities: that the belt asymmetry is produced by either a large recent planetesimal collision, or via inter
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PRIMERA JORNADA MÉDICA ACADÉMICA DE BIENESTAR MATERNO-NEONATAL Y GINECOLÓGICO “HGOIA” ANOMALÍAS PLACENTARIAS, IMPORTANCIA DEL CONTROL ECOGRAFICO PRENATAL: CASO CLÍNICO Md. Santiago Nolasco , Md. Gissela Tashiguano Hospital Gineco-Obstétrico Isidro Ayora INTRODUCCIÓN: Las anomalías de la inserción placentaria como placenta previa y acretismo placentario se asocian con hemorragias durante el segundo trimestre del embarazo; aumentan el riesgo de morbimortalidad materno-fetal en hasta el 7% sin el tratamiento adecuado. Se estima que 1 de cada 200 embarazos presenta placenta previa y 1 de cada 533 acretismo placentario. El principal factor de riesgo es el antecedente quirúrgico: cesárea, legrado, otros; la combinación de cicatriz uterina anterior y la placenta previa aumenta de 10-20 veces el riesgo de acretismo (figura 1). Las complicaciones más frecuentes son la hemorragia grave que requiere transfusiones, histerectomía, coagulación intravascular diseminada, lesión de órganos adyacentes y muerte. OBJETIVO: Exponer la presentación atípica de un caso de placenta previa y percretismo placentario y la importancia de los controles ecográficos prenatales para prevenir y tratar patologías como las anomalías de la implantación placentaria CASO CLINICO: Paciente de 27 años, secundigesta, con antecedente de cesárea anterior, cursa embarazo de 36.2 semanas, niega sangrado, en ecografía obstétrica se evidencia placenta previa oclusiva total con disco placentario mayor ubicado en segmento uterino inferior, ausencia de membrana de Nitabuch. Al Doppler: Hipervascularización úterovesical, subplacentario, vasos puente, lagunas vasculares en su espesor. Grosor placentario de 6 cm, no distinguible adecuadamente la interfaz entre segmento uterino anterior y pared vesical. Placenta acreta índex de 3.5. (figura 2.). Se categorizó como un embarazo de alto riesgo con placenta previa oclusiva total, con signos de acretismo placentario con alto riesgo de percretismo hacia vejiga. Se programó cesárea con equipo multidisciplinario: Ginecologia, Urología, Anestesiología y Unidad de Cuidados Intensivos Maternos (UCIM). Se obtubo el consentimiento informado de la paciente: Si RESULTADOS: Durante la cesárea se evidencia útero gestante, infiltrado con vascularización de grueso calibre, patrón de “cabeza de medusa” que toma toda la pared anterior del uréter, paramétrios, vejiga hacia cérvix y perdida de la anatomía uterina. (figura 3.). Extracción de recién nacido, masculino, APGAR 7-8. Se realiza histerectomía total. Complicaciones: Lesión incidental de uréter izquierdo, reparado en el transquirúrgico por Urología. Sangrado de difícil control por percretismo placentario, que progresa a choque hipovolémico grado IV, el mismo que amerita transfusión masiva, soporte vasoactivo y ventilación mecánica invasiva, permanece en UCIM los primeros 5 días. Paciente permanece 11 días hospitalizada, a su alta médica paciente estable junto con recién nacido. Tablas / gráficos Figura 1. Fuente: PROTOCOLS MEDICINA MATERNOFETAL HOSPITAL CLÍNIC- HOSPITAL SANT JOAN DE DÉU-UNIVERSITAT DE BARCELONA www.medicinafetalbarcelona.org Figura 2. Fuente: Hospital Gineco-Obstétrico Isidro Ayora, Unidad de Diagnostico fetal. Figura 3. Fuente: Elaboración propia. DISCUSIÓN: Las anomalías de la implantación placentaria son la principal causa de hemorragia en el segundo trimestre del embarazo. Los controles ecográficos prenatales recomendados por la guía de práctica clínica del MSP son el 1er control a las 11-14 semanas, 2do a las 18-24 semanas, 3ero a las 30-36 semanas siendo de suma importancia la ecografía del tercer trimestre para el diagnóstico de anomalías placentarias, aunque podemos encontrar signos ecográficos sugestivos desde el primer trimestre de la gestación. La atención prenatal con adecuado seguimiento ecográfico permite determinar el nivel de complejidad del embarazo y derivar oportunamente a centros especializados (tercer nivel) donde se cuenta con el personal experimentado para
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POSTER PRESENTATION Open Access Transient dynamics between displaced fixed points: an alternate nonlinear dynamical framework for olfaction Christopher L Buckley*, Thomas Nowotny* From Twentieth Annual Computational Neuroscience Meeting: CNS*2011 Stockholm, Sweden. 23-28 July 2011 It is now widely accepted that insects encode odor iden- tity in terms of the stimulus specific rate patterning observed in the projection neurons of the antennal lobe (AL). Several studies have explored nonlinear dynamical frameworks in order to gain general insights into the mechanisms underlying the observed dynamical phenom- ena. The currently most popular framework is the het- eroclinic orbit (HO) developed by Rabinovich and collaborators [1-3]. This framework can account for both the dynamics observed in the locust AL [4] and several desirable computational properties of the AL and the brain in general [2]. Despite its obvious appeal there has been little work on applying the HO framework to more detailed conductance based models of olfactory dynamics even though it is in principle possible to obtain HO dynamics from biologi- cally plausible neurons [5]. However, obtaining proper HO dynamics with conductance based Hodgkin-Huxley neu- rons in this work required non-standard assumptions for the synapses [5]. Furthermore, recent experimental evidence has indicated another possible concern about the original HO interpretation. The HO framework assumes that the presence of an odor re-parameterises the connec- tivity of the AL through input to local neurons (LNs). The mathematical image of this change is a bifurcation from a regime with a single stable fixed point (FP) to a regime with a stable HO. The system approaches the stable HO (or a limit cycle close to it, in the presence of noise) as long as the odor stimulation continues. The HO then loses stability and the system returns to the resting state FP when the odor stimulus subsides. Recent experiments involving long periods of odor stimulation have revealed that the dynamics of the AL appears to settle into a stable fixed point well before the odor subsides [6]. One explana- tion for this observation is the so called heteroclinic chan- nel (HC) introduced in [2] in which the HO ends in a stable FP. Here we describe an alternate nonlinear dynamical fra- mework which provides an appealing account of both the origin and function of rate patterning dynamics. We start by analytically reducing a biologically plausible conduc- tance based model of the AL to a quantitatively equivalent rate model and construct conditions such that the rate dynamics are well described by a single globally stable fixed point. We then straightforwardly describe the AL’s response to an odor stimulus as rich transient trajectories between this stable baseline state and an odor specific fixed point. We show how this framework can account for a disinhibitory period observed immediately after the stimulus is removed, for the qualitative differences between the dynamics in the presence and the absence of odor and for the invariance of odor identity to both the duration and intensity of an odor stimulus, as reported in [7]. We compare and contrast this framework with the popular nonlinear dynamical framework of ‘winnerless competition’ which describes AL dynamics in terms of a HO. Published: 18 July 2011 References 1. Rabinovich M, Huerta R, Laurent G: Neuroscience - Transient dynamics for neural processing. Science 2008, 321(5885):48-50. 2. Rabinovich MI, Huerta R, Varona P, Afraimovich VS: Transient cognitive dynamics, metastability, and decision making. PLOS Comp. Biol 2008, 4(5). 3. Varona , Rabinovich M, Selverston A, Arshavsky Y: Winnerless competition between sensory neurons generates chaos: A possible mechanism for molluscan hunting behavior. Chaos 2002, 12(3):672-677. * Correspondence: c.l.buckley@sussex.ac.uk CCNR, Informatics, University of Sussex, Falmer, BN1 9QJ, UK Buckley and Nowotny BMC Neuroscience 2011, 12(Suppl
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9.2 30.4 6.3 5.0 1.0 12.5 17.5 10.0 8.1 Relative importance (calibration-based formulation) [%] Datalogger Calibration uncertainty Non-stability Non-linearity Temperature response Maintenance zero off-set a zero off-set b Directional response EVALUATION OF UNCERTAINTY SOURCES AND PROPAGATION FROM IRRADIANCE SENSORS TO PV YIELD Francesco Mariottini*, Jiang Zhu, Thomas R. Betts, Ralph Gottschalg Centre for Renewable Energy Systems Technology (CREST), Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Leicestershire, LE11 3TU, United Kingdom, *Corresponding author: f.mariottini@lboro.ac.uk, +44(0) 01509 635353 AIM HOW (3): directional response and temperature dependency WHY HOW Energy production uncertainty affects financial costs and bankability 1) Reducing uncertainty of (global) irradiance measurements through pyranometers. 2) Assessing impact of reduced expanded uncertainty on the evaluation of PV performance in a solar farm 1) Data quality management 2) almost clear-sky days sampling for uncertainty assessment. 3) Use of calibration data for point- based directional response and temperature dependency of uncertainty. Better understanding and evaluation of systematic and random effects needed. Including (and not limited to): • Physically possible and extreme rare limits (BSRN checks). • Exclusion of days with disconnections checked against sunrise and sunset paths HOW (1): data quality RESULTS SUBJECTS Incoherencies on uncertainty: from 4.7% to 25.3% for solar data but from 3% to 12% on measurements & modelling HOW (2): almost-clear sky days CREST: calibrated ventilated Kipp & Zonen CMP21 pyranometers with Pt-100 temperature sensor COM: fielded pyranometer, CMP21 assumed (datasheet specifications) Relevance of clear sky conditions for energy production and thermal offset in irradiance measurements (ISO 9060) but rare in UK. Almost clear sky days, closest to: • Diffuse fraction of 0.2 • Pearson coefficient r (against Perez’s clear sky model) of 0.95 • Irradiance deviation of 5% Interpolated values (based on calibration certification) filled into the formulation of uncertainty from JCGM 100:2008. Calibration-based formulation reduces relative importance of directional and temperature uncertainties Relative importance: 𝑢𝑖∗𝑐𝑖 𝑢 σ𝑖 𝑢𝑖∗𝑐𝑖 𝑢 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 721452. MAIN CONCLUSIONS By applying a few calibration-based information, irradiance uncertainty is reduced by about 40%. Input data Time resolution [s] Percentage deviation [%] Average expanded uncertainty [W/m2] COM datasheet- based 60 ± 2.87 13.83 3600 ± 3.07 13.83 CREST calibration- based 60 ± 2.01 7.93 3600 ± 2.18 7.94 CREST datasheet- based 60 ± 3.51 13.84 3600 ± 3.79 13.84 Calculation of uncertainty for the 20 selected almost-clear sky days identified between the 3/6/2015 and 3/1/2016. Identification of an almost-clear sky day. Monitored data against calculation through Perez’s model based on Linke Turbidity from Meteonorm and EU project SODA. 6062 6116 6420 6367 6050 6100 6150 6200 6250 6300 6350 6400 6450 Yearly AC energy production (COM datasheet-based) [MWh] Yearly AC energy production (CREST calibration-based) [MWh] Annual energy production (minute average) Effects of uncertainty on estimation of yearly performance (10/8/15- 10/8/16) of a PV solar farm (7389 kWp) based on found deviations. Future independent calibrations will better estimate uncertainty dependency on environmental parameters in irradiance measurements. 70.10 70.69 74.12 73.53 70.00 70.50 71.00 71.50 72.00 72.50 73.00 73.50 74.00 74.50 Performance Ratio (COM datasheet- based) [%] Performance Ratio (CREST calibration- based) [%] Performance Ratio (minute average) Example of identification of “suspect” disconnections against sunrise and sunset paths for a CREST pyranometer. FUTURE STEPS 5.0 18.4 3.8 3.0 15.2 7.6 10.6 6
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Assessment of the impact of aerosol from heated tobacco compared with cigarette smoke on experimental rheumatoid arthritis Cintia Scucuglia Heluany1; Pablo Scharf1; Ayda Henriques Schneider2; Paula Barbim Donate2; Fernando Queiroz Cunha2; Sandra Helena Poliselli Farsky1* 1Department of Clinical and Toxicological Analysis, Faculty of Pharmaceutical Sciences, University of São Paulo, Brazil; 2Department of Pharmacology, Faculty of Pharmaceutical Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil c.heluany@surrey.ac.uk Rheumatoid arthritis (RA) is chronic autoimmune disease which is aggravated in smokers. Alternative modified-risk tobacco products are being developed to provide substitute products for smokers who are unable or unwilling to quit. Among then, heat- not-burn tobacco (HNBT) products generate reduced yields of toxicants compared with cigarettes and hold great potential for reducing the harms associated with tobacco. We aimed to investigate and compare the effects of CS exposure and the aerosol from HNBT on an experimental RA model. Male adults C57BL/6 mice were exposed to air, HNBT or commercial cigarettes in smoking chambers, following the Canada regimen, for 1 hour, twice a day, during the developmental phase of antigen-induced arthritis (AIA), between days 14 to 20. Mice were injected s.c. on day 0 with 500 μg of mBSA in an emulsion of saline and CFA, and boosted on days 7 and 14 with the same preparation in IFA. Intra-articular challenge was carried out on day 21 and after 24 h clinical symptoms were evaluated. Data obtained showed CS-exposed mice presented higher levels of blood carboxihemoglobin, higher articular hyperalgesia and edema, higher amount of NETs and MCP-1 in the synovia and higher number of granulocytes in the bone marrow than their counterparts. HNBT-exposed mice presented similar picture of the disease than air-exposed mice, except by reduced influx of cells in the synovial fluid. Nevertheless, such CS or HNBT exposures reduced the amount of IL-10 in the synovia and number of splenocytes and cells in the DLNs. Moreover, CS delivered higher amounts of toxic metals into exposure chambers, and lungs of CS-exposed mice showed higher histopathological score than other groups. Our data highlight HNBT exposure does not worse the local and systemic AIA symptomatology as CS exposure does, providing novel evidence surrounding the HNBT as a possible alternative to reduce the smoking-related health risks, mainly in chronic diseases. CONCLUSION METHODS Financial support Financial support: *Ethics Local Committee (Protocol CEUA/FCF -USP #563) Male C57BL/6 mice were exposed, 1 hour, 2 times/day, using a smoking chamber, to synthetic air (control) or heated tobacco (48 Heatsticks/day) or commercial cigarettes (24 cigarettes/day) during the developmental phase of antigen-induced arthritis (AIA), as shown in the scheme below. On day 21, mice were challenged by i.a injection of mBSA (30 µg) into the knee joint and after 24h, animals were euthanized and clinical parameters were assessed. Day 0 Day 7 Day 14 Day 21 Booster mBSA + IFA s.c. Booster mBSA + IFA s.c Immunization mBSA + CFA Intra-articular challenge + 24h: Euthanasia Day 20 Air Heated tobacco Cigarette smoke 1 hour (2x/day) (between days 14-20) AIM Investigate and compare the effects of cigarette smoke exposure and the aerosol from heated tobacco on an experimental rheumatoid arthritis (RA) model. Cigarette smoke (CS): major environmental risk factor involved with the induction and aggravation of rheumatoid arthritis (RA) Alternative modified-risk tobacco products are being developed to provide substitute products for smokers who are unable or unwilling to quit. Among then: heat-not-burn tobacco products generate reduced yields of toxicants compared with cigarettes and hold great potential for reducing the harms associated with cigarette use. RESULTS INTRODUCTION 2) CS increased the neutrophil influx into the joints and the product
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Product Definition Technology Develop- ment Quality Manage- ment Risk & Safety Assessment Regulatory Support Upscaling Sustain- ability Training Marketing Product Develop- ment PHOENIX project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 953110. OUR TEAM The PHOENIX team consists of 12 international partners distributed across 6 coun- tries. The partners are from the following countries: Austria, Croatia, Germany, Lux- embourg, Netherlands and Spain. All partners contribute actively to the project to establish the service portfolio of PHOENIX to cover the whole supply chain leading to GMP manufacturing of nanopharmaceuticals. 4 PHOENIX-OITB SERVICE PORTFOLIO The PHOENIX-OITB service portfolio is divided into 5 different categories. Each category includes a list of services, all of which together cover the different topics needed for the development of nano-pharmaceuticals from early stage to entry into clinical trials. 1 HOW IT WORKS PHOENIX concept & service strategies PHOENIX offers solutions to overcome the biggest hurdle in the translation process of most nano-pharmaceuticals – the so-called “innovation valley of death”. To learn more visit: www.phoenix-oitb.eu GET IN TOUCH info@phoenix-oitb.eu PHOENIX-OITB – A single entry point to develop and upgrade innovative nanopharmaceuticals The Single Entry Point of the PHOENIX-OITB provides access to a consolidated net- work of facilities, technologies, services and expertise for all technology trans- fer aspects from characterization, testing, verification up to scale up, GMP compliant manufacturing and regulatory guidance. The OITB services include production and characterisation under GMP con- ditions, safety evaluation, regula- tory compliance and commercia- lisation boost. METHODS The PHOENIX-OITB has been structurally conceived, designed and officially registered under the legal non-profit company, PHOENIX gGmbH. To test the operative capacity of PHOENIX-OITB, five demo-cases of different NP types, manufacturing methods and administration routes will be employed. Additionally, two pro bono demo-cases will be launched and granted to external users to test the services at relevant and operational environment. ABSTRACT The PHOENIX Open Innovation Test Bed (PHOENIX-OITB) is focused on overcoming the challenges of production of novel and innovative nanopharmaceuticals (NPs) from lab scale to GMP quality and production, maximising bioavailability, stability and manufacturing to allow their implementation in the medicine field. PHOENIX-OITB is a non-profit, open and self-sustaining legal entity that works as a Single-Entry-Point (SEP) providing its end-users transparent processes and proce- dures as well as easy access to services and expertise needed to bridge the gap bet- ween the bench and the bedside, i.e., providing them with high-quality services, capable of Quality-Efficacy and Safety (QES) evaluation and production of nanophar- maceuticals at large scales, meeting the regulatory and GMP requirements. RESULTS Process transfer and method development for all five demo-cases are ongoing while GMP production area is being constructed. The Pharmaceutical Quality Management System (PQMS) is being established and all exploitation activities are being managed and can be seen through: www.phoenix-oitb.eu. Furthermore, PHOENIX-OITB Open Call for the granting of two pro bono demo-cases to external end-users has been launched and applications are under evaluation. Johanna K. Scheper,1,12,* Alba Cordoba,2 Ariadna Padrós,3 Nora Ventosa,4 Jesus M. De la Fuente,4 Ivana Vinković Vrček,5 Hannes Bauer,6 Mangala Srinivas,7 Sabine Fleischer,8 Robert Holzer,9 Tommaso Serchi,10 Nazende Günday-Türeli11 1 BioNanoNet Forschungsgesellschaft mbH, Graz, Austria, 2 Nanomol Technologies S.L, Barcelona, Spain, 3 Leanbio S.L, Barcelona, Spain, 4 Consejo Superior de Investigaciones Cientificas (CSIC), Spain, 5 Ins- titute for Medical R
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Human Structural Connectomes are Heritable Jaewon Chung 1 Benjamin D. Pedigo 1 Carey E. Priebe 2 Joshua T. Vogelstein 1 1Department of Biomedical Engineering, Johns Hopkins University 2Department of Applied Mathematics and Statistics, Johns Hopkins University Summary Understanding how brain connectivity is influenced by genetics can improve our understanding of brain function and diseases. Existing methods ignore spatial arrangement of the brain or are not statistically justified. Our random graph theory and statistical approach enable formulation and testing of different models of connectome heritability. We show that brain connectivity is more similar in monozygotic twins compared to those of dizigotic twins and siblings. Other frameworks (e.g. joint graph embeddings) can be used for vertex level analysis. Data and Preprocessing Human Connectome Project Young Adult study (HCP1200) [4]. Zygosity Monozygotic Dizygotic Non-Twin siblings N 250 259 476 Sex 167 F, 83 M 140 F, 119 M 223 F, 248 M Age 29.6 (3.3) 28.9 (3.4) 28.3 (3.9) Age range 22-36 22-36 22-37 Table 1. HCP 1200 Participants and their demographics Figure 1. Outline of the ndmg (https://ndmg.neurodata.io) pipeline. Image taken from [2]. Estimating Heritability Figure 2. Outline of heritability estimation process. For semiparametric testing, we consider the three test cases: Equality up to rotation: H0 : X = WY against Ha : X ̸= WY where W ∈Rn×n and WW T = I Equality up to scaling: H0 : X = cWY for some c > 0 against Ha : X ̸= cWY for any c > 0 Equality up to diagonal transformation: H0 : X = DWY for some diagonal D against Ha : X ̸= WDY for any D Two-Sample Semiparametric Test Results Figure 3. Kernel density estimates (KDEs) of the test statistics is shown on the left column, and the empirical cumulative distribution (eCDF) of associated p-value give by null-distribution is shown on the right column. 1. Kernel density estimates (KDEs) for monozygotic twins is different from those of dizygotic twins, sibling, and unrelated. 2. Distribution of test statistics for monozygotic twins is more positively skewed compared to others. 3. Empirical cumulative distribution function (eCDF) for monozygotic twins is more concentrated near 1 compared to others. 4. This empirical finding is validated through six statistical models and tested via two sample Kolmogrov-Smirnoff test (Table 2 and 3). Two-Sample Kolmogrov-Smirnov (KS) Test Results Null hypothesis is that the two samples are drawn from the same distribution. Alternate Hypothesis Test Cases Rotation Scalar Diagonal Monozygotic < Dizygotic < .001 *** < .001 *** < .001 *** Monozygotic < Sibling < .001 *** < .001 *** < .001 *** Monozygotic < Unrelated < .001 *** < .001 *** < .001 *** Dizygotic ̸= Sibling 0.353 0.337 0.750 Dizygotic ̸= Unrelated 0.009 ** 0.009 ** 0.169 Sibling ̸= Unrelated < .001 *** < .001 *** 0.100 Table 2. P-values for KS tests on distributions of test statistics from semiparametric tests. Alternate Hypothesis Test Cases Rotation Scalar Diagonal Monozygotic > Dizygotic < .001 *** < .001 *** 0.0012 ** Monozygotic > Sibling < .001 *** < .001 *** < .001 *** Monozygotic > Unrelated < .001 *** < .001 *** < .001 *** Dizygotic ̸= Sibling 0.120 0.109 0.199 Dizygotic ̸= Unrelated < .001 *** < .001 *** 0.154 Sibling ̸=Unrelated < .001 *** < .001 *** 0.025 * Table 3. P-values for KS tests on distributions of p-values from semiparametric tests. Significance levels are marked with * (p < .05), ** (p < .01), and *** (p < .001). What's Next? 1. Vertex importance - which vertex confers the most heritability? 2. Edge importance - which edges are important? Code and Data Allanalysiswasperformedusinganopen-sourcepackageGrasPy(https://graspy.neu- rodata.io). AlldMRIimagesareopen-sourceandprovidedbytheHumanConnectome Project (https://www.humanconnectome.org/study/hcp-young-adult/overview). References [1] Avanti Athreya, Donniell E. Fishkind, Minh Tang, Carey E. Priebe, Youngser Park, Joshua T. Vogelstein, Keith Levin, Vince Lyzin
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The Order of the Octopus Macy Huston1,2 & Sofia Sheikh3 1Penn State Astronomy & Astrophysics, 2Penn State Extraterrestrial Intelligence Center, 3SETI Institute Who We Are The Order of the Octopus is a community of early-career researchers doing technosignature-related work. The group was founded by Dr. Sofia Sheikh in March 2020, to offset some of the specific difficulties in getting into SETI research, which were only exacerbated by the COVID-19 pandemic. Early-career researchers in SETI not only have to face the standard challenges of pursuing a degree or research project in STEM, but also must contend with uncertain federal funding, discouraging comments from researchers who are SETI skeptics, and often being the only person at an institution who is both early-career and pursuing technosignature science. This lack of support, evidenced in the preceding ways and in others, is uniquely challenging, and having a community to provide guidance is particularly important. Thus, the Order of the Octopus was founded to combat these challenges. The Order’s name comes from the “Order of the Dolphin,” a name adopted by attendees of the first SETI conference in Green Bank, WV in the 1960s. The members were enthralled by John Lilly’s presentation about the potential for understanding extraterrestrial languages through studying dolphin communication. The quirkiness of the name and its connection to the history of SETI research led us to adopt the name for this event. We quickly learned, however, that John Lilly’s research included unethical practices, and we did not want to keep the name due to that historic harm. To retain the camaraderie and wonder for non-human intelligences that the original name meant to us, we adopted “The Order of the Octopus,” divorcing ourselves from the dark history of the association with dolphins, and recognizing a perhaps even more interesting model for non-human intelligence on Earth! The Order of the Octopus currently manifests in a few different ways: 1) An online forum (currently on the Discord platform) with over 20 current members, hosting conversations about research, conferences, grants, and other opportunities 2) A conference organized by the group and supported by the PSETI Center: The 2021 Assembly of the Order of the Octopus (described below), with the intention of hosting similar events in the future 3) In-person meetups at other conferences, such as the 2022 PSETI Symposium. Members Our group is made up of about 22 early career researchers in SETI. Here we feature 6 members who are attending the SETI Symposium: The 2021 Assembly of the Order of the Octopus In the Summer of 2021, the OotO held a virtual conference for early-career researchers in SETI. The organizing committee members were Dr. Sofia Sheikh, Macy Huston, Nick Tusay, Tessa Fisher, and Evan Sneed, and the event was sponsored by the Penn State Extraterrestrial Intelligence Center. Our goal was to to provide networking and community-building for early-career folks in SETI by providing a venue for participants to present talks and posters, perhaps even their first talks and posters, in a safe and supportive environment. Dr. Sofia Sheikh is an NSF-ASCEND Postdoctoral Fellow working on radio technosignature searches with the Allen Telescope Array through the SETI Institute. She founded OotO in Spring 2020, and is thrilled to see how much the community has grown since! George Profitiliotis is a Postdoctoral Researcher within the Department of Humanities, Social Sciences, and Law of the National Technical University of Athens, Greece, investigating the pertinence of anticipation to the search for extraterrestrial life; he is mainly interested in the science-policy-society interface of the search, including technosignatures, and particularly in using insights from futures studies and prospective cognition to inform the governance of the search. Tessa Fisher's research includes investigating if atmospheric chemical reaction network topology c
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• V1.0 was released in 2009 • SQUAM analyzes bias of global satellite L2/L3 SSTs w.r.t. 2 types of reference SSTs - (1) in situ (from the NOAA iQuam system) ; and (2) global gap-free L4 SST analyses. - L4 analyses offer global coverage (“instantaneous look”) and greater uniformity in space & time - The global distributions of the ΔTs are expected to be centered at ~0 and close to Gaussian • Plots: Maps, Histograms, Time Series, Dependencies, and Hovmöller Diagrams • SQUAM is a GHRSST resource for near real-time monitoring and validation of major global satellite & blended SST products produced by the SST community • Updated to V2.0 in 2017 - Focus on NOAA & partners products (can add other products by data users/ producers request) - Polar page: Selection of ACSPO VIIRS, ACSPO AVHRR GAC, and AVHRR FRAC (ACSPO & OSI SAF) - New Geo page created: H08 AHI; option to display vs. GMT and Local Time - L4 page: reduced list of products (NOAA partners; most informative for SQUAM analyses) - New features: SSES bias correction, time aggregation, etc. - Interface redesign • Replaced the ACSPO development products with operational products • NOAA-20 provisioned (pending ACSPO 2.50 operational deployment) • Added ACSPO G16 ABI; G17 ABI provisioned (currently disabled) • Full line of ACSPO L3U provisioned (pending ACSPO 2.50 operational deployment) SQUAM Background Structure (Newly added) Geo: G16 1. NOAA/NESDIS/STAR 2. Global Science and Technology, Inc 3.Colorado State University/CIRA Kai He1,2, Xinjia Zhou1,3, Sasha Ignatov1, Olafur Jonasson1,2 Update to SST Quality Monitor (SQUAM) Polar: GAC L2P vs. L3U Comparison between Metop-A GAC L2P and L3U • Global statistics are comparable between L2P and L3U GHRSST XIX Meeting, Darmstadt, Germany, 4 - 8 June 2018 SQUAM v2.1: https://www.star.nesdis.noaa.gov/sod/sst/squam/ What’s new in v2.1 Polar L2/L3 Geo L2/L3 Analysis L4 High Resolution S-NPP VIIRS (N20 coming soon) ACSPO L2P/L3U AVHRR FRAC ACSPO L2P OSISAF L2P H08 AHI ACSPO L2P/L3U G16 ABI ACSPO L2P/L3U MUR (JPL) Low Resolution AVHRR GAC ACSPO OPR L2P ACSPO RAN L2P/L3U CMC (Environment Canada) OSTIA (Met Office) OSTIA RAN (Met Office) GMPE (Met Office) Geo Polar Blended (NOAA) Reynolds (NOAA) GAMSSA (BoM) • Operational product (ACSPO 2.50) • L2P/3U - Subsampled to 1 image per hour - Planning to move to L2C/3C (hourly collated) • UTC based (default) - For monitoring sensor performance • Local solar time based - For scientific analysis, such as diurnal cycle effect G16 ABI: L2P vs. L3U • Mean and SD Statistics of (ABI SST – CMC) are comparable between L2P and L3U L4 Analyses L4 SSTs: CMC, OSTIA, GMPE, Reynolds, GAMSSA, MUR, OSTIA RAN, GPB • Added by Request of the NOAA Coral Reef Watch Team • OSTIA Reanalysis (RAN): Jan 1985 – Dec 2007 • NOAA Geo-Polar Blended (GPB): Sep 2002 - present SD(L4 SST – in situ) Summary • SQUAM v2.1 has been expanded to include several new products • Only operational products are now displayed in SQUAM • Back-end processing has been rewritten and highly optimized • Data access page is added Future work - ACSPO G16 ABI - A consistent line of L3U - OSTIA RAN and GPB L4 - G17 and N20 buttons provisioned Alex.Ignatov@noaa.gov Acknowledgments • This work is supported by the JPSS and GOES-R Program Offices, and the NOAA Ocean Remote Sensing (ORS) Program. • The views, opinions, and findings in this report are those of the authors and should not be construed as an official NOAA or U.S. government position or policy Night L3U SD(SST – CMC), day SD(SST – in situ), day SD(SST – CMC), night SD(SST – in situ), night Day L3U Night L2P Day L2P Mean(SST – CMC) SD(SST – CMC) G16 ABI: L2C & L3C • SD reduced by up to ~0.3K (in RMS sense) in L2C/3C • NOBS and clear-sky ratio remarkably boosted (~2M more valid SSTs) Mean(SST – CMC) SD(SST – CMC) Matchup(SST – CMC) Clear%(SST – CMC) - Add N20 VIIRS and G17 ABI - Two ACSPO lines: OPR + RAN - For ABI/AHI, switch from L2P/3U to L2/3C - Add Metop-C SST when launched in Sep 2018
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Cryogenic system deployed at TUM's (Munich, Germany) shallow underground laboratory Source Ambient Gammas 3.937 Atmospheric Muons 0.019/1.4 0.0134/5 Flux [s-1 cm -2] Atmospheric Neutrons (dominant after vetoing) Searching for Coherent Elastic Neutrino-Nucleus Scattering (CEvNS) with the NUCLEUS detectors Author: Marco Giammei on behalf of the NUCLEUS collaboration Marco Giammei - Ph.D. Candidate - Università di Roma "Tor Vergata" - marco.giammei@roma2.infn.it Coherent Elastic Neutrino Nucleus Scattering (CEvNS) The Experimental Site: VNS at Chooz Nuclear Power Plant Sensitivity and Simulations Interesting Measurements and future plans Active Vetos and Shielding Cryogenic Target Detectors Cryogenic System Very Near Site (VNS): - 24 m2 basement room (~3 m.w.e. overburden) - 30% Muon Attenuation, factor 5 neutron attenuation - Two 4.25 GWth reactors - Anti-Neutrino Flux: ɸ𝜈=1.7×1012 𝜈/cm/s A precision measurement of the CEvNS cross-section offers a unique way to study many neutrino properties and to search for new physics beyond the Standard Model. Direct calibration of nuclear recoils - Neutron absorption followed by de-excitation with high energy 𝛾 emission and nuclear recoil. - Nuclear recoil on CaWO4 expected at 112 eV - Seen with 3σ significance using 55Fe calibration Known Backgrounds: - Expected CEvNS rate: • ~30 counts/kg/day in the 10eV-1keV recoil energy range - Targeted Signal/Background ≥ 1 - With 100 dru flat background and full setup: • 5σ significance in few weeks of live-time • 10% uncertainty on CEvNS Inner Veto: - Instrumented holder for target detectors: • Sub-keV cryogenic detector with TES readout - Vetos against • Mechanical stress events • "EXCESS" • Surface contamination Muon Veto (MV) : - 5 cm thick plastic scintillator plates - SiPMs & WLS-fiber readout - 4π coverage with cryogenic muon veto - Threshold ~ 5 MeV External Shielding: - Lead and Polyethylene Inner Shielding: - Lead, Copper, PE, B4C - Shielding against neutrons and ambient gammas Cryogenic Outer Veto (COV): - Active ionization detectors - Reduction of external ɣ - 4 kg of 2.5 cm thickness in 6 HPGe crystals (4π coverage) - Threshold <10 keV Unknown Background "Low energy EXCESS": - Unexplained exponential rise of counting rate at low energies (similar to reactor CEvNS) - With "EXCESS" competitive limits can be set on new physics models (light mediators or neutrino EM properties) NUCLEUS status and future developments: - Experimental setup being deployed at TUM (Munich, Germany) in shallow underground laboratory for final testing and background validation - 2025: setup deployment at Chooz Neutrino Energy Weak Charge Nuclear Form- Factor "Dry" Dilution refrigerator to avoid handling of cryogenic liquids. The base temperature reached is below 7mK. Model: BlueFors LD400 cryogen-free dilution refrigerator Cooling Power: >500 μW at 100mK ✓ Custom Vibration decoupling system deployed and in use (patent protected) ○ Installation of read-out electronics under commissioning ○ Installation of calibration electronics under commissioning Gram-scale cryogenic calorimeters equipped with thin-film tungsten transition-edge sensors as highly sensitive thermometers. Optimized to measure energies under a few keV. Two 3x3 matrices of target detectors. Multi-target approach: - Al2O3: for background measurement - CaWO4: high CEvNS rate Transition-Edge Sensor (TES): superconductive film operated on the onset of the transition (operated at ~10mK) First combined operation of vetos with target detectors - Muon Veto + One COV crystal + One Al2O3+TES crystal cube - For ~40h of data expected 3-fold coincidences in low background environment (~15 m.w.e): • few direct muons and accidentals (very few in CEvNS's R.O.I) Absorber crystal cube coupled with Source Sum Preliminary 25.8±2.2 55.4±2.1 311.8±9.4 Ambient 𝛾s 3.937 0.019/1.4 0.0134/5.0 (sum) < 1.2 < 7.9 20.9±0.6 0.91±0.18 3.2±1.3 <3.6 39.4±0.9 11.47±0.65 51.4±8.4 10.5±3.5 116.1±1.5 133.8±2.21 Atmospheric muons Atmospheric neutro
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NAMA : IRMAWATI NIM : 90100121074 KELAS : EKIS .C TUGAS : PKN A. Contoh pelanggaran sila ketiga 1. Bersikap egois dan ingin menag sendiri
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Technology is Fun, i promise Below I will highlight the importance of technological developement in South Africa. Yes, you read that right! Just recently news broke out that Microsoft cloud services are expanding its data centers in South Africa (Microsoft News Center, 2022). This is great for South Africa because not only is it growing the tech industry it's also creating job opportunities and people to be able to see tech close by and not something of first world countries. The tech industry is growing in South africa To get an idea on how important and beneficial technology could be for South Africa here are a few pointers: It could help with enhancing and creating better systems in the departments of South Africa. For example integrating technology in the department of health. It could help better the data capturing in public hospitals and clinic which would help by sending SMS's informing them that their medication is ready for collection or informing them about peak and off-peak hours in the hospital. Another point could be technology helping the country become a safer country. For example the police force being able to get their hands on the top of the range GPS systems where they could be able to track the crime hotspots in the countries and be able to patrol that area. What could technology do for south africa ? WE ALMOST THERE... Software Engineer Software Developer Data Engineer Data Scientist Data Analyst Web Developer Computer Engineer Technical Support Cybersecurity Engineer The different jobs you can get in tech: In the tech industry the pay can range from +- R29 000 to +- R100 00 per month (BusinessTechSA, 2022). OK THE EXICTING PART Reference list BusinessTechSA (2022). The most in-demand tech jobs for South Africans right now – including pay. [online] Businesstech.co.za. Available at: https://businesstech.co.za/news/technology/578586/most-in- demand-tech-jobs-for-south-africans-right-now-including-pay/ [Accessed 23 Aug. 2023]. Microsoft News Center (2022). Microsoft expands cloud services in South African data centres to drive growth and competitiveness – Middle East & Africa News Center. [online] news.microsoft.com. Available at: https://news.microsoft.com/en- xm/2022/11/01/microsoft-expands-cloud-services-in-south-african- data-centres-to-drive-growth-and-competitiveness/ [Accessed 23 Aug. 2023]. Van Wyk, C. (2012). SURVEY OF ICT IN SCHOOLS IN SOUTH- AFRICA ___________________________________________________________________________ Public Expenditure Analysis for the Department of Basic Education: Report 8. [online] Available at: https://www.education.gov.za/Portals/0/Documents/Reports/Resea rch%20Repository/LTSM/Survey%20of%20ICT%20in%20schools%2 0in%20SA.pdf?ver=2019-09-09-102208-963 [Accessed 23 Aug. 2023]. The education system in South Africa requires improvement but the Department of Basic Education has been trying to implement ICT in schools as a subject. But the only thing hindering their efforts is that there are not enough public schools in SA that have access to working computers (Van Wyk, 2012). This could be an issue that could easily solved if schools had the help of big corporate companies that would be able to donate computers to schools or sponsor schools. The fact that the issue is acknowledged is a step in the right direction. Information & communications Technology Keep That Gold Shining jcp@keepthatgoldshining.org www.keepthatgoldshining.org 39 Block PP1 Soshanguve, 0152
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Detangling the mystery of the intriguing odor of dermatophytes Lenka Machova1,2, Michaela Svarcova1,2, Andrej Jasica1,2, Sandra Awokunle Holla1,2, Alena Grasserova2,3, Jaroslav Semerad2,3, Adela Cmokova2, Vit Hubka2, Miroslav Kolarik2 References 1. Weitzman, I., & Summerbell, R. C. (1995). The dermatophytes. Clinical Microbiology Reviews, 8(2), 240–259. 2. Semerád, J., Moeder, M., Filip, J., Pivokonský, M., Filipová, A., & Cajthaml, T. (2019). Oxidative stress in microbes after exposure to iron nanoparticles: analysis of aldehydes as oxidative damage products of lipids and proteins. Environmental Science and Pollution Research, 26(32), 33670–33682. https://doi.org/10.1007/s11356-019-06370-w. First volatome analysis of dermatophytes shows unique spectra of volatile organic compounds found in isolates of human mycoses. • Dermatophytes = common fungal skin pathogens of mammals, producing variety of secondary metabolites 1 • Volatile organic compounds (VOCs) = a group of secondary metabolites 1. Introduction Fig. 1 (a) classic cultivation of the dermatophyte; (b) cultivation of dermatophytes with sheep wool in vial; (c) analysing of the sample with Gas-Chromatography Mass Spectrometry; (d) prediction of molecular structure • cultivation →SPME/GC-MS →prediction of molecular structure (Fig. 1) 2 • Spectra specific for isolates • Molecular biology – comparison of phylogeny with chemotaxonomy 2. Methods • 40 strains, 15 taxa = 80 identified features • terpenoids, ethers, aromatic compounds, compounds with sulphur, anisols, amines etc. • compounds specific for dermatophytic group • in one case, the compound was specific for a species • terbinafine resistants cluster separately from non-resistants • phylogeny and chemotaxonomy are not consistent 3. Results • We propose selected compounds as putative markers of dermatophyte infection (for future application of electronic nose etc). • A new approach for distinguishing between dermatophytic species and terbinafine resistant species. 4. Discussion Fig. 2 (a) PCA of strains divided by the species - E. floccosum (EF), M. canis (MC), N. gypsea (NG), T. benhamiae var. benhamiae (TB), T. erinacei (TER), T. europaeum (TEUR), T. interdigitale (TI), T. indotineae (TIND), T. japonicum (TJ), T. benhamiae var. luteum (TL), T. persicum (TP), T. quinckeanum (TQ), T. rubrum, (TR),T. tonsurans (TT), T. verrucosum (TV).; (b) occurrence of detected VOCs in all dermatophyte and non- dermatophyte species; (c) Agglomerative hierarchical clustering of the representatives of resistant and non- resistant strains; TR = T. rubrum, TRR = T. rubrum resistant to terbinafine, TI = T. interdigitale, TIND = T. indotineae; (d) Multilocus tree of the ITS, tubb and tef1α loci (on left), Agglomerative hierarchical clustering by the Ward’s method with the Euclidean distances (on right) Contact me. Msc. Lenka Machova Msc. Michaela Svarcova Lenka.machovka@seznam.cz Svarcova.michaela92@gmail.com Laboratory of fungal genetics and metabolism - IM CAS (a) (b) (c) (d) 1Department of Genetics and Microbiology, Faculty of Science, Charles University in Prague, Vinicna 5, 128 44, Prague 2, Czech Republic 2Institute of Microbiology of the Czech Academy of Sciences, Videnska 1083, 142 20, Prague 4, Czech Republic 3Institute for Environmental Studies, Faculty of Science, Charles University in Prague, Benatska 2, 128 01, Prague 2, Czech Republic (a) (b) (c) (d) This research also benefitted from funding by the European Union’s Horizon 2020 research and innovation program (RISE) under the Marie Skłodowska-Curie grant agreement No. 101008129, project acronym “Mycobiomics”
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W. VOGT-KAUTE, S. FITTJE Naturland e.V., Kleinhaderner Weg 1, 82166 Gräfelfing w.vogt-kaute@naturland.de, www.naturland.de ECOBREED project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 771367. The content of this paper reflects only the author‘s view and the European Union Agency is not responsible for any use that may be made of the information it contains. Kältetoleranz von Soja in Feld und Klimakammer Abbildung 1: Korrelation des Feldaufganges der Jahre 2022 und 2023, sowie Feldaufgang 2022 mit Klimakammerversuchen 2022 1 1 2 2 3 3 Einleitung und Zielsetzung Kältetoleranz ist ein wichtiges Merkmal in der Züchtung von Soja für den Anbau in Europa (V. Hahn, 2019), wenn in weiter nördlich gelegenen Regionen Sojabohnen angebaut werden sollen. Dabei ist Kaltetoleranz während der Keimung, der Jugendentwicklung und während der Blüte relevant. Im Projekt ECOBREED wurden Sorten der beteiligten Züchter und bekannte zugelassene Sorten auf die Kältetoleranz während der Keimung und der Blüte verglichen. Methoden In Dittlofsroda, einem klimatischen Grenzstandort mit lehmigem Sand, wurden 40 Sojasorten zu 3 Saatzeitpunkten über 2 Jahre Mitte April, Anfang Mai und Mitte Mai in einer randomisierten Blockanlage in 3 Wiederholungen angebaut. Die Sommermonate beider Jahre waren sehr warm und trocken. 2022 wurden alle Sorten zusätzlich einem Test in einer Klimakammer unterzogen. Das Saatgut wurde oberflächlich sterilisiert und in Petrischalen mit feuchtem Filterpapier plaziert (20 Körner). Nach 15-stündiger Quellzeit verblieb die Kontrolle bei Zimmertemperatur, während eine weitere Schale für 7 Tage in einer Klimakammer bei 6°C lagerte. Die Keimung wurde 24 Stunden und 5 Tage nach Auslagerung der Schalen bonitiert. Ergebnisse und Diskussion Die alte Sorte Strengs Weihenstephaner (1) zeigte in beiden Jahren im Feld mit 23 und 60% die besten Ergebnisse (Abb.1). Im Jahr 2022 schnitten zur Bonitur zudem Paprika, GL Susanna (2), Sonali (3) (19%) und Salsa (18%) vergleichsweise gut ab. Im Jahr 2023 liefen Sonali (56%) und EZG 22655 (52%) am besten auf. Xonia und Altona zeigten in beiden Jahren sehr geringe Feldaufgänge (2-4%), neben Merlin und Xena, bei denen sie nur in einem Jahr sehr niedrig waren. In beiden Jahren reiften die Bestände gut ab, 2022 schon bis Anfang September. In beiden Jahren war der Feldaufgang beim zweiten und dritten Aussaatterminen deutlich niedriger, 2023 bei nahezu null. Das in der Klimakammer gelagerte Saatgut keimte während der Kältephase nicht. Die meisten Sorten trieben nach Auslagerung jedoch noch aus. 24 Stunden nach Auslagerung waren 8 Sorten schon zu mindestens 80% gekeimt (Mittel: 44%) und nach 5 Tagen waren 16 Sorten zu mindestens 90% gekeimt (Mittel: 71%). GL Susanna, Caloria and Kristian schnitten sowohl im Feld als auch in der Klimakammer vergleichsweise gut ab. Nicht alle Sorten zeigten gleiche Reaktionen im Feld und in der Klimakammer (Abb.2). Strengs Weihenstephaner, Alicia und VM 18.184 waren besser im Feld, während 19177012, Lenka und Angelica besser in der Klimakammer abschnitten. Schlußfolgerungen Es konnten Sortenunterschiede festgestellt werden. Die Sorten Strengs Weihenstephaner, GL Susanna und Sonali fielen wiederholt besonders positiv auf. Bei Frühjahrstrockenheit können späte Aussaaten ein Risiko auf diesem Standort darstellen. Klimakammerversuche zeigten, dass die meisten Genotypen auch nach Quellung kurzfristig kalte Temperaturen tolerieren können und danach weiter austreiben. Danksagung Wir bedanken uns herzlich bei Herrn Dr. Schweizer und Frau Dr. Schwertfirm (Inst. f. Pflanzenbau u. Pflanzenzüchtung 1b, LfL Freising) für die Durchführung der Versuche in der Klimakammer. Literatur Hahn V., Schmid K., Vögele R. & Balko C. (2019) Genomik-basierte Verbesserung des heimischen Sojazuchtmaterials und Etablierung eines molekularen Screeningsystems für Soja-Pathogene. Abschlussbericht, online verfügbar unter https://orgprints.org/i
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Toothed Aquatic Baleen Aquatic BM1 BMS OU1 OUM OUMV OUMA OUMVA Afrotheria 0.00 0.03 0.00 0.00 0.29 0.00 0.44 Artiodactyla 0.00 0.00 0.00 0.09 0.31 0.23 0.13 Caniformia [- Lutrinae] 0.02 0.15 0.01 0.04 0.34 0.02 0.41 Musteloidea 0.15 0.27 0.06 0.04 0.06 0.12 0.21 1. Introduction Most mammal species live on land, but the largest mammals live in the oceans. Aquatic and terrestrial habitats clearly impose differing selective pressures on body size. However, the quantitative study of body size evolution in mammals and other major animal clades typically focuses on either terrestrial or marine clades independently, thus failing to capture the dynamics of size evolution associated with the transition between land and water. Consequently, the extent to which the rate, magnitude, and outcome of size change associated with habitat transitions are shared among clades remains unknown, leaving open the question of whether the apparently common phenomenon of size increase associated with the acquisition of an aquatic lifestyle reflects idiosyncratic responses of individual clades versus a common response to universal constraints. The evolution of aquatic mammals toward a nearly universal large size? Evidence from phylogenetics and fossils 2. Materials and Methods William Gearty1,*, Craig R. McClain2, and Jonathan L. Payne1 1Department of Geological Sciences, Stanford University; 2Louisiana Universities Marine Consortium *wgearty@stanford.edu 3. Results 4. Conclusions • 3 out of 4 mammal groups living in aquatic environments have larger optimal body sizes than their terrestrial counterparts. • Results suggest the existence of a body size attractor (~500 kg) that has been discovered independently by these three aquatic clades, coupled with shared relatively rapid selection toward, and limited deviation from, this attractor (not shown here). • Some groups may still be getting larger, although analyses suggest there may be an upper limit without help from key innovations (e.g. baleen). • The sustained small size of aquatic mustelids could indicate the presence of a second attractor at a smaller size or competitive exclusion from the 500 kg attractor. • Analyses of the fossil record find indistinguishable optima (with large error), but produce different model support. References Beaulieu JM, et al. Evolution. 2012 Aug;66(8):2369–83. Bininda-Emonds ORP, et al. Nature. 2007 Mar 29;446(7135):507–12. Butler M, King A. Am Nat. 2004;164(6):683–95. Fortelius M. New and Old Worlds Database of Fossil Mammals. 2015. Heim NA, et al. Science. 2015 Feb 20;347(6224):867–70. Hunt G. Paleobiology. 2006 Dec;32(4):578–601. Jones KE, et al. PanTHERIA. Ecology. 2009 Sep 17;90(9):2648–2648. Smith FA, et al. MOM. Ecology. 2003 Dec 11;84(12):3403. The Global Biodiversity Information Facility. 2015. (gbif.org) Tomiya S. Am Nat. 2013 Dec 14;182(6):E196–214. Silhouettes from phylopic.org Figure 3.2: Comparison of results of phylogenetic and fossil analyses. Overlay of Ornstein-Uhlenbeck processes using average parameters as estimated by OUwie phylogenetic and paleoTS fossil analyses for individual clades. Points and error bars within paleoTS results represent average raw data and variance, respectively, per Myr time bin. Error bars associated with the OUwie curve origins indicate the extents of branches associated with aquatic transitions. Note the differences between the results of the phylogenetic and fossil analyses of Sirenia and Pinnipedia. General Equation of an OU Model: 𝒅𝑿𝒕= 𝜶𝜽−𝑳(𝒕) 𝒅𝒕+ 𝝈𝒅𝑩(𝒕) 𝐿(𝑡): initial body size 𝛂: strength of selection 𝑑𝑋𝑡: change in body size 𝛔: intensity of random drift 𝑑𝐵(𝑡): random variation 𝛉: body size optimum Session 163—Booth #308 Figure 2.1: Habitat reconstruction for the four clades of interest. Tip and node labels indicate terrestrial, toothed aquatic, and baleen aquatic species. Figure 3.1: Body size optima. Model-averaged median optima (θ) as estimated by OUwie analyses (circles) and mean modern body sizes (triangles) separated
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SciPy 2024, Tacoma, WA Workflow scalable pythonic likelihood fitting Errors Minimize Model Data Loss Loss Simultaneous Constraints Minimization Fit result Fitting something more complicated than a normal distribution or a fit is too slow? zfit allows to build multidimensional, composed models of arbitrary shaped PDFs. The backend uses speedup-techniques from TensorFlow to speedup and run on GPUs Used in High Energy Physics with large data & complicated PDFs General likelihood fitting ● Wraps minimizer libraries ● Minuit, Scipy, Ipyopt, NLOpt ●Convenient BaseClass available ●Common convergence criterion ●Automatic gradient available ● Access results ●Calculate errors ●Store results res_dilled = zfit.dill.dumps(result) res_loaded = zfit.dill.loads(res_dilled) Jonas Eschle (jonas.eschle@cern.ch) for the zfit team Compositions Mixture (plot), Convolutions, Products Parameter Data Build arbitrary compositions ● Multiple formats supported ● Full capability of Pandas DataFrames Model building Composition Custom model Product 2-D (dims defined by observables) Variety of losses Binned,unbinned, chi2, extended Fast likelihood model fitting in pure Python for complicated distributions. It allows to connect with many other libraries for a seamless workflow. Conclusion hepstats library Confidence Interval, limits, sWeights,... Inference
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Study of multiplicity-dependent charmonia production in p+p collisions at PHENIX Jongho Oh and Sanghoon Lim for the PHENIX collaboration Motivation PHENIX muon spectroscopy Charmonia measurement Results Multiplicity-dependent 𝐽/𝜓production Comparison with other results ‣ Forward Silicon Vertex Tracker - 4 stations of silicon strip detector - precise measurement of the radial direction of track trajectory at forward rapidity - charged particle multiplicity ‣ Muon Tracker - 3 stations of cathode strip chamber - momentum measurements of charged tracks ‣ Muon Identifier - 5 layers of 2 planes of Iraocci tube chambers and steel absorber - hadron/muon separation PHENIX muon arms are composed of Forward Silicon Vertex Tracker, Muon Tracker, and Muon Identifiers to measure hadron/muon tracks at forward rapidity region • At least one MuTr-FVTX matching is required to separate 𝐽/𝜓and 𝜓(2𝑆) • Signal shape: Crystal ball function and 2nd Gaussian function • Combinatorial background: Mixed events normalized with like-sign • Correlated background: Modified Hagedorn function based on the measurements of correlated dimuons Phys. Rev. D 99, 072003 (2019) • 𝐽/𝜓and multiplicity at mid-rapidity èA similar multiplicity dependence is observed in 200 GeV and 13 TeV Tracks from 𝐽/𝜓are included in both results, but more significant impact in 200 GeV due to smaller multiplicity (𝑑𝑁!"/𝑑𝜂in 13 TeV is about x3 larger than 200 GeV) • PHENIX results without subtraction of muons from 𝐽/𝜓 èA similar multiplicity dependence with the LHC results • After the subtraction of muons from 𝐽/𝜓 èSignificantly lower multiplicity dependence than STAR results (same collision energy without subtraction) ALICE results (higher collision energy without subtraction) • At 200 GeV where 𝑑𝑁!"/𝑑𝜂is comparable with 2 (tracks from 𝐽/𝜓), considering the muon contribution is very important to interpret the multiplicity dependence • Multiparton interaction is important for 𝐽/𝜓production for both energies collective behavior arXiv:1906.09928 South arm −2.2 < 𝜂< −1.2 North arm 1.2 < 𝜂< 2.4 Phys. Rev. C 105, 065912 (2022) Phys. Lett. B 810 (2020) 135758 Phys. Lett. B 786 (2018) 87 • 𝐽/𝜓at forward rapidity and multiplicity at mid-rapidity èIncreasing yield as charged particle multiplicity becomes larger • 𝐽/𝜓at forward rapidity and multiplicity at backward rapidity èA similar trend in the results with the multiplicity at mid-rapidity • 𝐽/𝜓and multiplicity at the same rapidity (forward rapidity) Multiplicity without subtraction of muons from 𝐽/𝜓 èMore steeply increasing than other results Multiplicity with subtraction of muons from 𝐽/𝜓 èWeaker multiplicity-dependence and similar trend with other results • Comparison with PYTHIA8 A better agreement with the Detroit tune for RHIC energies than the Monash tune Monash Tune Detroit Tune Phys. Rev. D 105, 016011 (2022) Outlook • Multiplicity-dependent 𝐽/𝜓and 𝜓(2𝑆) ratio is ongoing to study final-state effects in p+p collisions • Two PYTHIA tunes show different multiplicity dependence in the 𝐽/𝜓and 𝜓(2𝑆) ratio èAnother check of the underlying event description • Inclusive 𝐽/𝜓yield increases with particle multiplicity in p+p collisions at 13 TeV and 200 GeV èSimilar multiplicity dependence at two energies èMultiparton interaction is important for 𝐽/𝜓production in both energies 𝐽/𝜓and charged particle multiplicity at mid-rapidity èCharged tracks of the decay product are included in the charged particle multiplicity èMultiplicity dependence is possibly affected depending on 𝑑𝑁!"/𝑑𝜂values • In PHENIX, multiplicity can be measured in various regions èDetailed correlation between 𝐽/𝜓production and underlying events can be investigated Phys. Rev. C 95, 034904 (2017) • Relative suppression of 𝜓(2𝑆) than 𝐽/𝜓 becomes stronger as the multiplicity density increases in p/3He+A collisions èFinal-state effects • The study can be extended even in p+p collisions èThe system size is small but almost independent of the multiplicity
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Use of L1 phonotactics in initial foreign-language speech segmentation Katie Von Holzen, Sophia Wulfert & Holger Hopp Technische Universität Braunschweig, Germany | English and American Studies k.vonholzen@tu-braunschweig.de Speech Segmentation ■Identification of words in incoming speech stream ■Segmentation strategies are learned and language specific1 References 1. Cutler A. Listening to a second language through the ears of a first. Int J Res Pract Interpret. 2001;5(1):1-23. doi:10.1075/intp.5.1.02cut 2. Hu, C. F. (2014). Extracting phonological patterns for L2 word learning: The effect of poor phonological awareness. Journal of Psycholinguistic Research, 43(5), 569–585. doi: 10.1007/s10936-013-9269-z 3. Earle, F. S., & Arthur, D. T. (2017). Native phonological processing abilities predict post-consolidation nonnative contrast learning in adults. The Journal of the Acoustical Society of America, 142(6), EL525–EL531. doi: 10.1121/1.5013141 4. Finn AS, Hudson Kam CL. The curse of knowledge: First language knowledge impairs adult learners’ use of novel statistics for word segmentation. Cognition. 2008;108(2):477-499. doi:10.1016/j.cognition.2008.04.002 5. Weber A, Cutler A. First-language phonotactics in second-language listening. J Acoust Soc Am. 2006;119(1):597-607. doi:10.1121/1.2141003 6. Graf Estes, K., Gluck, S. C.-W., & Grimm, K. J. (2016). Finding patterns and learning words: Infant phonotactic knowledge is associated with vocabulary size. Journal of Experimental Child Psychology, 146, 34–49. doi: 10.1016/j.jecp.2016.01.012 7. Haman, E., Miller, A., Wodniecka, Z., Koegler, H., & Łuniewska, M. (2017). Crosslinguistic Lexical Tasks: American English version (CLT-AM-EN). A part of LITMUS COST IS0804 Battery. Unpublished material. 8. Weber, J., Marx, P., & Schneider, W. (2007). Die Prävention von Lese-Rechtschreibschwierigkeiten bei Kindern …. Zeitschrift für Pädagogische Psychologie, 21(1), 65–75 9. Delis, D. C., Kaplan, E., & Kramer, J. H. (2001). Delis-Kaplan Executive Function System (D-KEFS). doi: 10.1037/t15082-000 Phonotactic Cues ■Probability that certain sequences of phones align with word boundaries ■Advanced adult L2 learners continue to apply L1 phonotactic cues when segmenting speech in their L24,5 Participants ■n = 114; 1st and 2nd graders in Germany Age M = 7;6; SD = 0;9; range = 6-10 years ■Language Background: 83 L1 German 31 German + Lx (Arabic, Bulgarian, Chinese, French, Italian, Catalan, Polish, Portuguese, Russian, Serbian, Spanish, Turkish, Urdu) ■English experience: < 10% passive exposure and unable to complete Production CLT in English7 L1 Skills ■Young children‘s L1 skills influence their processing of novel phonotactic forms6 Paradigm We searched for the merse nart profoundly. nart nuttiff Sentence: Word: % word acceptance The lies about my doon roshaf persist (Target) (Lure) Stimuli Speech Segmentation L1 skills Clear Boundary: doon_roshaf Clear L1 phonotactic cue to word boundary Length: Short: roshaf Long: nroshaf Ambiguous Boundary: dook_roshaf Ambiguous L1 phonotactic cue to word boundary Length: Short: roshaf Long: kroshaf Phonological Awareness RQ2: Do pre-EFL students use phonotactic cues from their L1 German to segment words from English? RQ3: Is pre-EFL students’ ability to segment words from English speech influenced by their phonological awareness skills? Phonological Awareness ■Ability to reflect on and manipulate phonemic segments ■Support learning of L2 phonological contrasts and words2,3 RQ4: Is pre-EFL students’ use of phonotactic cues from their L1 German to segment words from English influenced by their L1 skills?  Word Status Effect: Word acceptance greater for short Target compared with short Lure words RQ1: Pre-EFL students can segment words from English, before receiving instruction in English  Interaction between Word Status and Phoneme Manipulation Score8: Word Status Effect increases with higher phoneme manipulation scores Phonotactic Cues  Length Effect: Word accepta
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L Carr1,2, C Palego2, D Arnaud-Cormos1, P Leveque1 1) Univ. Limoges, CNRS, XLIM, UMR 7252, F-87000 Limoges, France 2) School of Electronic Engineering, Bangor University, UK Influence of pulse duration on intracellular calcium concentration for sub-10 ns pulses Introduction This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 737164 SUMCASTEC. Calcium ions (Ca2+) play a key role in a wide range of cellular processes. Intracellular calcium concentrations [Ca2+]i are known to increase following nanosecond pulsed electric field (nsPEF) exposure [1]. This increase is caused by Ca2+ entering the cell from the extracellular media and/or being released from intracellular calcium stores, such as the E.R. [2]. In both cases membrane poration is believed to be critical for the movement of Ca2+. In this study we characterise changes in [Ca2+]i following the application of single sub-10 ns pulses. We also attempt to identify the source of calcium involved in the post-pulse increase. 1. Batista Napotnik 2016, Bioelectrochemistry 110: 1– 12; 2. Semenov I 2013 Biochim Biophys Acta 1828:981–9; 3. Charuk 1990, Analytical Biochemistry, 188(1), 123–131. Results Amplitude of [Ca2+]i increase is dependent on pulse duration Figure 3. A: Change in fluorescence over time plot, from live cell imaging, for U87 cells loaded with 0.5 µM FLUO-4 exposed to a single 250 kV/cm pulse of durations varying between 2-10 ns. Each line shows average fluorescence change from at least 20 cells from a minimum of 5 separate experiments. Error bars show SE. B: Representative live cell images of U87 cells loaded with 0.5 µM FLUO-4 before and after exposure to a single 2 or 10 ns, 250 kV/cm pulse. Cells have been pseudo coloured for clarity and scale shows fluorescence in arbitrary units. -5000 0 5000 10000 15000 20000 25000 0 20 40 60 80 100 120 140 Fluorescence change (arbitrary units) Time (seconds) Pulse 10 ns 4 ns 6 ns 8 ns 2 ns 0 ns A. Time post pulse Pre pulse 3 s 32 s 100 s 10 ns 2 ns B. • Immediate increase in [Ca2+]i following pulse • The amplitude of this increase is dependent on pulse length • Return towards baseline within 60 seconds of pulse Both extracellular and intracellular calcium sources contribute to [Ca2+]i increase -500 0 500 1000 1500 2000 2500 0 20 40 60 80 100 120 140 Fluorescence change (arbitrary units) Time (seconds) Pulse 10 ns 4 ns 6 ns 8 ns 2 ns 0 ns -5000 0 5000 10000 15000 20000 25000 0 20 40 60 80 100 120 140 Fluorescence change (arbitrary units) Time (seconds) Buffer with Ca2+ Buffer without Ca2+ 10 ns pulse Figure 4. Change in fluorescence over time plot for U87 cells loaded with 0.5 µM FLUO-4 and pulsed in a Ca2+ free buffer. Cells were exposed to a single 250 kV/cm pulse of durations varying between 2- 10 ns. Each line shows average fluorescence change from at least 20 cells from a minimum of 5 separate experiments. Error bars show SE. • Pulses of 4 ns and longer result in a release of intracellular calcium stores • Similar maximum fluorescence for 4, 6 and 8 ns pulses, but different kinetics • Extracellular calcium is the dominant source of the [Ca2+]i increase To see if intracellular calcium stores contribute to the [Ca2+]i increase, cells were pulsed in a calcium free extracellular buffer. Figure 5. Comparison of the FLUO-4 response for cells exposed to a single 10 ns, 250 kV/cm pulse in the presence or absence of extracellular calcium. Each line shows average fluorescence change from at least 20 cells from a minimum of 5 separate experiments. Error bars show SE. Nanopores may not be the only way Ca2+ passes through the plasma membrane -500 0 500 1000 1500 2000 2500 3000 3500 4000 0 20 40 60 80 100 120 140 160 180 Fluorescence change (arbitrary units) Time (seconds) 10 ns 4 ns 6 ns 8 ns 2 ns 0 ns Pulse 2 ns + 50 µM RR 2 ns Pulse -5000 0 5000 10000 15000 20000 25000 0 20 40 60 80 100 120 140 Fluorescence change (arbitrary units) Time (seconds) 10 ns 10
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Setting the scene for co-creating Citizen Science Hubs V.G. Psomiadis, A. Bakousi, I. Tavantzis, K. Karatzas, A. Vakali, A. Mazaris, E. Stylianidis Aristotle University of Thessaloniki, Thessaloniki, Greece This work has received funding from the European Union’s Horizon 2020 research and innovation programme under Grand Agreement no. 101005330. The content of this poster reflects only the authors' view and the Commission is not responsible for any use that may be made of the information it contains. Visit the INCENTIVE project website for more information Browse the INCENTIVE Citizen Science Digital Toolkit web app Virtual & Physical Presence Costly Wasted resources Gender and social inequalities Large carbon footprint Risk of disease transmission Lower costs No commuting Environmental friendly Social and gender equity Access across time zones Opportunities and networking Face-to-face interactions Social connections & companionship Disconnection Inefficiencies Potentially lack of trust Impersonal Faceless Prone to technical glitches PROS CONS Engagement Activities Considerations • Citizens groups • Level of stakeholders' influence on the activities • Openness to the changeability of collaboration arrangements by the involved stakeholders • Informal communication paths • Types of engagement of the various stakeholders’ determination • Available tools • Awareness of local community • Community’s needs and expectations • Data policy Targets • Stakeholder & new researchers' engagement • Partnerships • Scientists’ capacity-building • Literacy enhancing • Knowledge exchange • Networking • Mobilizing the CSH community Citizen Science Hubs CITIZEN SCIENCE HUBS Methodological Guide Create a checklist of essential CSH components Step 1 Case study catalogue: good practices and activities proven to be successful Step 2 Pilot phase for running the CSH Step 3 Evaluation of steps 1-3 Step 4 Improve, enrich, alter steps 1-3 Step 5 Technical Implementation • Establishment procedures • Ethics & diversity aspects • Funding aspects • Administration support • Main objectives • Physical & virtual presence Activities • Research • Awareness-raising & engagement • Mutual learning and networking • Capacity-building • Monitoring and evaluation A step-by-step checklist to facilitate in the set- up and implementation phase of CSHs A case study catalogue to draw inspiration from for the set-up and running of future CSHs A virtual asynchronous discussion space for serving the needs of CSHs and empowering CS stakeholders A crowdsourced online observatory for raising awareness and inspiring grass-rooted invention and creativity An open directory for easy access to publicly available CS resources Achievements & Expectations RESEARCH • Good practices for CSH • Integration of RRI keys to the processes of the CSH • Scientific outcomes CITIZENS • Number of activities that have affected the scientific skills and knowledge of the citizens • Increasing number of actively involved citizens • Researcher-Citizen cooperation assessment • More citizen involvement per research stage HUBS • Efficient support for the establishment and further growth of a CSH • Attract, engage and sustain stakeholders around the Hubs ecosystems Open Challenges Engagement “Speaking the same language” as the citizens involved Active involvement and commitment of the policymakers Maintain quality and impact Improve openness and transparency Strengthen learning and creativity Optimize organization, communication, and sustainability Establish suitable credits and rewards Develop ethical and legal procedures Balance between society and researchers Respond to needs of citizen scientists Operation Secure funding for CS projects Choose the right technical infrastructure and tools Activities Citizen Science Hubs discussion forum An open environment for exchanging good practices, mutual learning and nurturing novel ideas and solutions Digital library of Citizen Science resources A repository of pu
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TheinfluenceofArcticseaicelossonmid-latitude climateinthecoldseason Claude Frankignoul, Amélie Simon [amelie.simon@locean-ipsl.upmc.fr], Guillaume Gastineau LOCEAN-IPSL, Sorbonne Universités/CNRS/IRD/MNHN, Paris, France CONTEXT Since 1979, satellite observations have shown a rapid decline of the Arctic sea ice extent (SIE) and these trends might continue in response to increased green- house gas concentrations. The Arctic sea ice decline has strong local impacts, but its influence on the lower latitudes remains actively debated. This work aims at linking the anthropogenic sea ice loss to mid-latitudes winter climate by using observations. OUR BASIC ASSUMPTIONS • The direct atmospheric response to the slow Arctic sea ice loss is the same as that to inter- annual pan-Arctic sea ice fluctuations with iden- tical spatial patterns • The response is sufficiently linear to be esti- mated by lag regression analysis • Atmospheric response to SIC fluctuations is seen 1 to 3 months later. DATA & METHODS Observational data • Monthly sea ice concentration (SIC) from pas- sive microwave measurements January 1979- February 2017 (NASA-NSIDC) • ERA-Interim, HadISST, snow cover (NOAA/Rutgers University) Method • Determine the main pattern of monthly sea ice loss between 1979 and 2016 from EOF analysis • Represent sea ice loss by quadratic fit; inter- annual fluctuations are the residual • Estimate the atmospheric response to the inter- annual SIC fluctuations • Estimate statistical significance by controlling the False Discovery Rate (FDR) • Determine synchronous inter-annual seas sur- face temperature (SST) and snow cover fluctua- tions. If FDR significant, use multiple regression for attribution • Extrapolate these results to the quadratic de- crease of the Arctic SIC. NOVEMBER SEA ICE CONCENTRATION (SIC) PATTERN Raw SIC (with trend) - EOF1 (left) and PC1 (right) Interannual SIC (detrended) - EOF1 (left) and PC1 (right) • Anthropogenic and inter-annual SIC fluctuations has identical spatial pattern with different amplitude CONCOMITANT SST & SNOW ENSO (resp. Siberia snow) times series regression on quadratically detrended SST (resp. snow) Weak la Nina and increased Siberian snow cover LAG MULTIPLE REGRESSION OF GEOPOTENTIAL HEIGHT AT 50 HPA (Z50) IN DECEMBER ON NOVEMBER Simple regression on SIC Multiple regression on ENSO, SNOW and SIC • The simple regression suggests a downward negative NAO-like sig- nal propagation from December to February (not shown) • No significant influence of Arctic sea ice loss in stratosphere. • December simple regression on SIC is mostly due to concomitant Siberian snow cover. LAG MULTIPLE REGRESSION OF SEA LEVEL PRESSURE (SLP) IN JANUARY ON NOVEMBER Simple regression on SIC Multiple regression on ENSO, SNOW and SIC • The contours indicate 10% signifi- cance and hatching is based on 10 % FDR significance. • In January, negative NAO-like signal is largely due to SIC • Very similar results in February and much weaker signal in March CONCLUSIONS • A negative NAO/AO-like relation with previous SIC fluctuations is found from December to March. • Multiple regressions with SST and snow cover anomalies (concomitant with the SIC fluctuations) indicate that the December negative NAO-like signal is largely due to Siberian snow cover via a stratospheric path- way whereas the January, February, and March signal is attributed to the SIC via a tropospheric pathway. • Scaling suggests that quadratic decrease in the Arctic SIC from 1979-2016 has increased SLP by 4 hPa and Z500 by 80 m above Greenland and increased surface air temperature over northeastern America by 2.5 K. ACKNOWLEDGMENT This research was supported by the Blue-Action project (European Union’s Horizon 2020 research and innovation program, grant number: 727852.
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A variance analysis of galaxy spectra Zahra Sharbaf 1, Ignacio Ferreras 1,2,3 1 Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, E38205, Tenerife, Spain 2 Departamento de Astrofísica, Universidad de La Laguna (ULL), E-38206 La Laguna, Tenerife, Spain 3 Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK 3 Galaxy formation transition through the PCA Figure 1: Galaxy spectra projected on the first three principal components (corresponding to the highest variance). The red, blue and green dots represent the results for the spectra of quiescent, star-forming, and active nuclei galaxies, respectively. The spectra are classified with the standard BPT diagram regarding nebular emission (Baldwin et al. 1981, PASP, 93, 5). The covariance analysis is performed independently for each type. We apply PCA to a homogenous sample of galaxy spectra from the Sloan Digital Sky Survey (SDSS) in the velocity dispersion range 100-150km/s, including all three types of galaxies concerning nebular emission – namely star-forming, AGN, and quiescent – according to the standard BPT classification, to assess the properties of the spectra in a model- independent way. We perform PCA separately in each of the three groups across the 3800–4200Å wavelength range. The galaxy spectra are de-redshifted, continuum subtracted and normalized, and we mask out the intervals containing strong emission lines to focus on the stellar population content. This way of performing PCA allows us to assess in more detail the variations in each group of galaxies. If applied to the whole sample, i.e. from a single covariance matrix, PCA will pick a larger signal between galaxies of different types, whereas our approach allows us to focus on variations within each group, and then among the three classes. The first three principal components carry ~95 percent of information (here understood as variance). We adopt only those first three components and the galaxy spectra are projected to produce a distribution of data points on a 3D space. Fig. 1 shows the projection of the spectra of all galaxies in our sample on components 1, 2, and 3, shown as a 3D plot. Fig.2 shows the equivalnt 2D projections in Cartesian space. The projections of the third component (PC3, whose corresponding parameter in spherical coordinates is roughly the Theta polar angle) show the separation between three groups of galaxies, so we try to study this component and find a physical interpretation of the projection. Neighbourhood galaxies in Theta space Figure 3: Correlation of the galaxy projections (using the PCA-derived parameter Theta) with respect to a few physical observables for the three spectral classes (quiescent: red, star-forming:blue and AGN:green). Each point represents the binned average of 500 galaxies, and error bars give the binned variance. Figure 4: This figure illustrates the features of spectra corresponding to extreme values of the Theta parameter in the three classes, as labelled. The stacked spectra comprise the 500 galaxies with the highest and lowest Theta in each class. Fig. 3 compares the projection of the principal components with a set of physical observables such as redshift, stellar mass, etc. The figure illustrates the transition from the blue cloud to the red sequence, in a model-independent way (i.e. no stellar population observables have been used to define the three classes). It is quite remarkable to find such a trend for continuum-subtracted spectra, where the colour information has been removed, and the interval of emission lines has been omitted, when presenting the spectra to PCA. To put the physics in context of the Theta parameter, we look for the properties of galaxies with high and low Theta within each group of galaxies. What do their spectra look like, and what do they have in common? Fig 4. shows the comparison of the stacked spectra of 500 galaxies with high and low Theta. The most apparent differences are
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Extended-body corrections to the inverse-square law for spherically symmetric sources Mradumay Sadh, Lorenzo Gavassino Nicolaus Copernicus Astronomical Center, Warsaw msadh@camk.edu.pl, lorenzo@camk.edu.pl Introduction We attempt to explore the deviations from the standard inverse-square variation of irradiance when one considers the source as an extended-body. The ideal example to study these differences is a planet very close to its host-star. The recent advances in the study of extra-solar planets have shed light on such planets that are very close to their parent stars (Mayor et al. 1995). The irradiation received by these planets plays an important role in understanding the geological and climate properties of such planets. This underscores the importance of deriving a correct model for irradiation in such planets. The inverse-square law has been well established and has been used ubiquitously in previous studies (Kane et al. 2020). However, it doesn’t suffice for extremely close planets. If one simply imagines such a close configuration, it is immediately clear that inverse-square law doesn’t explain irradiation on the night-side of a close exoplanet since it assumes that the star is point-sized. This demands a new model that better explains the irradiation distribution and also incorporates the stellar limb darkening. In our approach we attempt to make a robust model that accurately predicts the irradiation distribution on such planets. Violation of the inverse square law Figure 1: Boundaries of validity for the inverse-square law Considering a star-planet system, the blue region in Fig.1 depicts the set of all those positions from which the star is not entirely vis- ible. An observer (represented in our case by the eye) sitting on an arbitrary blue point would see a partially eclipsed star. Since in this case, some of the photons directed to the observer are screened by the planet, the flux fails to be radial. This opens the door to pos- sible violations of the inverse-square law on the dark green region of the planet. Quantifying the importance of the violations of the inverse-square law in the dark-green region and their dependence on the geometrical parameters of the star-planet system is the main purpose of this work. Geometrical model In our approach, we intend to integrate the irradiance from each surface element from the apparent surface of the star. For a close-in planet, the limits of integration are defined by the region bound be- tween the tangents to the stellar circle from the point of observation on the planet. Additionally, the stellar surface hidden beneath the local horizon is omitted from the total flux received. Figure 2: Star-planet system geometry in spherical coordinates Fig.2 shows the system geometry with λ and δ defining the latitude and longitude of the planet, respectively. ds gives the distance be- tween the surface element on the star to a given point on the planet, and (r + R + d) is the semi-major axis(a). The star is assumed to have a bolometric luminosity Lb. Critical point of symmetry The position at which the light-green region of the planet (where the inverse-square law is valid) meets the dark-green region (where the inverse-square law ceases to hold) is defined as the critical belt of symmetry and each point of it is a critical point of symmetry. The latitude at which the local horizon will be a tangent to the star is given by: λ = cos−1 R + r a  Without loss of generality we can conclude that all critical points on the planet that make an equivalent angle constitute a critical belt of symmetry. Terminator angle The terminator angle, for a given star planet system, determines how far will the terminator extend beyond the day-side of the planet. Mathematically, the terminator angle can be calculated from the slope of the exterior common tangent of the stellar and planetary circles : At = π/2 + sin−1 R −r a  . Analytical formulation The analytical formulation of the new equation for the
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Pre-perceptual grouping of auditory scenes explains contextual biases in the perception of ambiguous tonal shifts. Vincent Adam1, Claire Chambers2, Claire Pelofi2, Daniel Pressnitzer2, Maneesh Sahani1 Gatsby Computational Neuroscience Unit, University College London Ecole Normale Superieure, Cognitive Studies Department Background Shepard Tones Base frequency fb, and octave related Bell-shaped envelope on log-frequency Evoke a non ambiguous pitch Shift Ambiguity Small Physical upward shift fb ↑leads to upward percieved shift Octave shift = Identity Half-Octave Shift → Ambiguous percept Biasing Pitch Shift Perception (Chambers and Pressnitzer) [3] Psychophysical Results Demonstration of half-octave ambiguity. (a,b) A single Shepard tone played shortly prior to the ambiguous pair can induce a strong bias, toward the shift that encompasses that tone. (c,d) Build up of the bias with the number of preceding tones (e,f) A simple adaptation mechanism? Adaptation is usually local tonotopically local adaptation effects falls offto 0 with distance →Here bias is strongest in the middle of the region Psychophysical manifestations of adaptation are usually repulsive Englitz et al [2], showed repulsion in a decoding paradigm repulsion predicts the opposite effect More that Average Spectrum of Context Sparsely dropping individual pure tones removes the bias References [1] R. Shepard, JASA 1964 [2] B. Englitz, et al Basic Aspects of Hearing 2013 [3] C. Chambers, et al submitted 2015 [4] A. Bregman, Auditory scene analysis 1994 [5] Z. Ghahramani, Jordan, M Machine learning 1997 Model Concept: Preperceptual Grouping Inspiration: perceptual grouping in stream segretation [4]. Items of an auditory scene can be segregated in multiple distinct perceptual objects Preperceptual grouping Items of an auditory scene can be grouped in multiple distinct pre-perceptual tracks based on spectro-temporal continuity Helps solving the attribution problem (prevents misbinding) Assumption reflects natural sounds statistics Model Presentation Model assumptions sensory noise corrupt frequency representation track spectro-temporal continuity tracks persist in time tracks generate tones close to their mean (std σC) sensory noise ∝ 1 √ duration T (0) t T (0) t+1 T (K) t T (K) t+1 Ct Ct+1 ηt ηt+1 ... Tracks’ means (inferred) Components’ attributions (inferred) Components Formalism: Factorial Hidden Markov Model [5] Probabilistic inference: Online inference of the tracks underlying the auditory scene sensed tones are attributed to tracks (clustered) beliefs on tracks center frequency are updated Variational Approximation: p  T (i) t |Ht  ≈N  T (i) t |µ(i) t , σ(i) t  Tone Attribution: rl k(Y ) = p(ηl = k|Y, H) Tracks update: µ(i) ← µ(i) σ(i)2 + PL l=0 rl kck σ2 C ! / 1 σ(i)2 + PL l=0 rl k σ2 C ! σ(i)2 ← 1 σ(i)2 + PL l=0 rl k σ2 C !−1 From pre-perceptual tracks to perception: Track-local features are extracted and combined to give rise to a percept. Here, track-local shifts are linearily combined to give rise to the global shift percept. Model Fitting Results The model predictions qualitatively and quantitatively match the psychophysical results. It explains perceived shift both in the presence and the absence of context. Discussion Summary Chambers et al. presented a contextual bias in auditory perception We suggest that a simple adaptive mechanism cannot account for the bias We propose a model relying on pre-perceptual tracking of auditory scenes to account for the bias and show it matches psychophysical results Pre-perceptual Grouping, a general mechanism? This work was funded by the Gatsby Charitable Foundation. Contact: vincenta@gatsby.ucl.ac.uk
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INTRODUCTION • The concept of “cell type” is loose scientifically • The Human Cell Atlas (HCA) needs a firm conceptual basis to ensure consistency • We dissect the concept of “cell type”, providing solid foundations for organizing our knowledge about cells, both in core Human Cell Atas database and in scientific discourse atomic cell types and species-centric divisions form a solid basis for organizing knowledge RESULTS Sensu stricto types, archetypes, infratypes and technotypes: a framework for cell classification Tiago Lubiana (presenting) and Helder Nakaya Computational Systems Biology Laboratory - INOVA USP , University of São Paulo, Brazil Scan for extra methods and references email: tiago.lubiana.alves@usp.br github: @lubianat DISCUSSION ●Experiments generate knowledge at the technotype level ●Scientific articles work at the infratype level (ex: a single mouse strain) ●Reviews usually talk about the species level (ex: Arendt’s evolutionary types) ●Most general biology textbooks work at the archetype level ●Inference from a lower level to a higher one is not logically guaranteed ●HCA should be aware of the species-centric level of cell types in its products, to avoid false conclusions and inconsistency in every case to avoid false conclusions ATOMIC CELL TYPES AND QUALIFIERS ●Archetypes: cell type ideas applicable across multiple species ●Sensu stricto cell types: cell type ideas restricted to a single species ●Infratypes: cell type ideas restricted to a sub-specific population ●Technotypes: cell type ideas describing the objects of cell-population-centric experiments ●cell class: any concept referring to a set of real-world biological cells ●atomic cell type: the indivisible idea for a cell class given its factorization in qualifying slots in a particular context. ●qualifying slots: fields capturing continuous and discrete and sources of diversity SPECIES-CENTRIC DIVISIONS OF “CELL TYPE” SPECIES-CENTRIC DIVISIONS ●Any idea referring to real-world cell classes can be split in an atomic cell type plus one or more qualifiers ●HCA needs to clarify its desired qualifying slots for effective knowledge management ●The Cell Ontology needs to provide IDs for all atomic cell types needed by HCA resources ●To avoid competing annotations, resources should cover species as a slot, and only use Cell Ontologies` archetypes ●By parsing out transient and fortuitous qualifiers into slots, atomic cell types may correspond to a set of natural stable property clusters (SPCs) ●Technotypes are atomic cell types capturing all possible qualifiers in the context of an experiment. They would be relevant for granular representation of experiments in knowledge graphs ATOMIC CELL TYPES HOW TO CATALOG ALL HUMAN CELL TYPES 1. Pick a set of cell classes of theoretical interest at the species level 2. Select all relevant qualifying slots 3. Factorize cell classes in qualifiers and atomic cell types 4. Select or mint IDs for each term 5. Iterate until no new atomic types are seen 6. To get all relevant classes, set valid combinations and computationally infer them Ex: “bone types” x “osteocyte”x “sex” … → male femur osteocyte, female tibia osteocyte This work is supported by FAPESP GRANT #19/26284-1
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Future work Our next steps will inves2gate the breakup of the water finger structure and further define this transfer event by carefully op2mizing a 2-­‐D free energy surface that simultaneously considers the ion transfer mechanism in both energe2c and spa2al terms. Background The transfer of a charged species across immiscible phases is a fundamental event that is studied and used in many fields and techniques. Molecular insight into ion transfer leads to a deeper understanding of many processes, including phase transfer catalysis and biological ion transport. The liquid-­‐liquid interface is buried, mobile, and constantly fluctua2ng. Notable interfacial phenomena occur within only a few molecular diameters of the interface, making experimental study especially challenging. Techniques involving nonlinear spectroscopy, neutron or x-­‐ray scaIering, and scanning electrochemical microscopy con2nue to evolve but computer simula2ons, most notably molecular dynamics, contribute significantly to our current theore2cal picture of ion transfer at the molecular scale. Ion transfer across a water-­‐nitrobenzene interface John Karnes and Ilan Benjamin Department of Chemistry and Biochemistry, University of California, Santa Cruz Free energy of transfer The water solva2on shell helps to shuIle the ion across the interface. We quan2fy this by calcula2ng the energe2cs of two ion transfer situa2ons: These preliminary results emphasize the importance of the solva2on water’s role in the transfer of a bare chloride ion. When the KillFinger rou2ne effec2vely strips the ion of its solva2on shell, we see the required free energy nearly double! Exploring phase space Combining the energe2c and geometric coordinates defines a phase space through which we can track the ion transfer event. In the normal model, elonga2on of the water finger as the ion extends into the organic phase is seen as a subtle slope and break of the finger that occurs at sH2O ≈ 0.5. In the KillFinger model, the ion spends liIle 2me moving through solvent coordinate space. When the ion crosses the interface, the water finger breaks before it can ever truly form. This occurs at sH2O ≈ 0.1 when the ion is experiencing the last Coulombic aIrac2on with interfacial water as it moves into the organic phase. Quan2fying the water finger With these results, we consider the role of the water finger and may assign a geometric coordinate, w, to characterize.2 We define this coordinate as the largest step required to “hop” from the ion to the bulk water phase along the water molecules in the water finger. In the snapshots above, w is the water-­‐water distance indicated by the gold arrows. Literature cited 1. Benjamin, I. Science 1993, 261, 1558. 2. Schweighofer, K. J.; Benjamin, I. J. Phys. Chem. 1995, 99, 9974. 3. Kikkawa, N.; Wang, L.; Morita, A. J. Am. Chem. Soc. 2015, 137, 8022. This work is supported by the Na2onal Science Founda2on. Simula2on details Our model consists of two adjacent liquid slabs in a 31.3 Å × 31.3 Å × 300 Å rectangular box. The liquid-­‐liquid interface is perpendicular to the long axis, designated z. The aqueous phase contains 986 flexible-­‐SPC water molecules; the organic phase is 252 nitrobenzene molecules. For nitrobenzene, we use an empirical 14-­‐site all-­‐atom model. System poten2als are calculated as the pairwise sum of Lennard-­‐Jones and Coulombic terms. The equa2ons of mo2on are integrated using the velocity Verlet algorithm with a 2me step of 0.5 fs. In our model system, we consider the transfer of a single chloride ion from the aqueous phase to an adjacent nitrobenzene phase. Representa2ve snapshots of this event are shown below. From lem to right, the ion is in the aqueous phase (a), at the interface (b), and moving into the organic phase (c). Note that in image (c) the ion carries with it the remnants of its water hydra2on shell and remains tethered to the aqueous phase by a “water finger.”1 In (d) the water finger has broken and the ion moves within the organic phas
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Sparse Representation of HINODE/SOT/SP Spectra Using Convolutional Neural Networks Serena Flint1, Ivan Milic2,3 1University of Rochester, 2LASP, 3NSO serena.flint (at) rochester.edu Conclusions and future work Correlations between compressed spectra and physical parameters Application to simulated and real data References & Acknowledgements We test the performance of our network by applying it to the spectra calculated from a state-of-the-art MHD photospheric simulation as well as to a spectropolarimetric map of the quiet Sun observed by HINODE/SP. We find the optimal compression for network with “bottleneck” of 7. This means that the spectra is compressed to 7 numbers, down from 112 wavelength points. We assess the quality of the compression by calculating the chi-squared metric between the original spectra and the one obtained from the sparse representation. Average agreement between the original and compressed spectra is of the order of 1%. Introduction A fundamental problem in solar spectropolarimetry is relating observed spectra and their polarization to the physical parameters of the underlying atmosphere. One of the difficulties in this process is the fact that the spectra usually can be represented with a much smaller number of hyperparameters than what is suggested by the number of wavelength points used for sampling (e.g. [1]). Said differently, spectra can usually be compressed or described in a sparser basis. In this work, we use the neural networks to investigate the dimensionality of photospheric spectra, and to compare the compressed spectra with the maps of physical parameters used to generate the said spectra. Spectra Compression and CNN training We train our network on a set of 80000 atmospheres generated by applying random perturbations to a simulated 3D atmosphere. We calculated the spectra of neutral iron lines at 6300 angstrom. These are the lines observed by the HINODE spectropolarimeter and are commonly used to diagnose photospheric temperatures, velocities, and magnetic fields. We spectrally smeared the spectra and added Gaussian noise, to mimic instrumental effects. We then devised an encoder-decoder neural network to compress this data. The network takes spectra as the input and should, in principle, output the same spectra. The layer of smallest width (dense 3 in Fig 1) represents the “most sparse” or “most compressed” version of our spectra. All training was done in Keras [2] using default MSQE loss, and the built-in ADAM optimizer. The network was trained through 1000 epochs for all trials, and each took on average 30-45 minutes. Training was done on a machine with enthusiast hardware, including an i7-10700k CPU at 4.7Ghz, 32GB DDR4 RAM, and an SSD. Since the code was set up to utilize only a CPU, it’s reasonable to assume that training speeds could be improved by reconfiguring it to utilize a recent-generation GPU instead. After applying the encoder part of the network to the data, we end up with the spectra compressed down to 7 hyperparameters. The maps of the hyperparameters from the synthetic spectra can be compared to the maps of the physical parameters at depths relevant to the line formation. We calculated correlation coefficients between the maps of sparse parameters and the maps of temperature and velocity at log optical depths -2, -1, and 0. The logical next step in our research is to create a simple, but robust neural network that will match compressed spectra to atmospheric parameters and thus enable CNN-based inversion. We expect the main advantage of this inversion to be the capability to reproduce input spectra well (this is something CNN inversions are struggling with). Namely, the relationship between compressed spectra and the parameters should be very simple, and can be inverted. Stay tuned! We are grateful to HAO visitor program for supporting Serena Flint’s independent work during the summer of 2020 and to Rebecca Centeno and Andres Asensio Ramos for their comments and advice.
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Zerstörtes Kulturgut Die kontextualisierte Aufbereitung von kulturellen Forschungsdaten 17 XML-Dateien im LIDO-Format zu einzelnen Kulturstätten 1 Webseite mit kontextualisierten, gesammelten Daten 1 GitHub-Repo zur kompletten Verfügbarkeit 5 Kriege geschichtlich aufbereitet Typo3 Umstellung der technischen Infrastruktur Standardisiertes Vokabular für die XML-Dateien Automatisierte Erstellung der XML-Dateien FAIR & Open Science LIDO-Schema Carl Montgomery, CC BY-SA Julia Alili & Vivien Wolter E-Mail: kulturgut@uni-trier.de <lido:titleSet> <lido:appellationValue lido:pref="preferred" xml:lang="de">Buddha-Statuen von Bamiyan</lido:appellationValue> <lido:appellationValue lido:pref="alternate" xml:lang="en">Buddhas of Bamiyan</lido:appellationValue> <lido:appellationValue lido:pref="alternate" xml:lang="fa">نایماب ىاهتب</lido:appellationValue> <lido:sourceAppellation lido:type="http://terminology.lido-schema.org/identifier_type/uri"> https://www.wikidata.org/wiki/Q484458</lido:sourceAppellation> </lido:titleSet> <lido:relatedEvent> <lido:displayEvent>Diktatur der Taliban</lido:displayEvent> <lido:event> <lido:eventID lido:type="http://terminology.lido-schema.org/lido00099"> https://www.wikidata.org/wiki/Q42418</lido:eventID> <lido:eventType>Gewaltsame Machtübernahme</lido:eventType> Status Quo - Offenes Repository - Webseitencode, Bilder mit Lizenzangaben, XML-Dateien downloadbar - Webseitenänderungen einsehbar - Waybackmachine - Verlinkungen mit GND, Wikidata In Zukunft - Langzeitarchivierung - Upload im DARIAH-Repository - Upload der XML-Dateien auf Zenodo - Standardisiertes Vokabular
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U.S. Environmental Protection Agency Office of Research and Development • The concentration of both volatile and non-volatile PFAS can be measured in the RBT liver slice assay. • Perfluoroalkyl carboxylic acids (PFBA, PFPeA, PFHxA, PFHpA, PFOA) were not metabolized by RBT liver slices. • The fluorotelomer carboxylic acid, 4:3 FTCA, was not metabolized by RBT liver slices. • There was significant loss of 6:2 FTCA in the presence of slices, suggesting possible metabolism. Further investigation is needed to verify this observation as metabolism. • The fluorotelomer alcohols 4:1 FTOH and 4:2 FTOH were not metabolized by RBT liver slices. • There was significant loss of 6:2 FTOH and 8:2 FTOH in the presence of slices in multiple tests, suggesting possible metabolism. Further investigation is needed to verify this as metabolism. OH F F F F F F F F F F F F F F F F F OH OH OH HO O O O F F F F F F F F F F F F F F F F F OH O F F F F F F F F F F F F F F F F F 8:2 FTOH 8:2 FTOH - Glucuronide O F F F F F F F F F F F F F F F F 8:2 FTUAL 8:2 FTCA OH O F F F F F F F F F F F F F F F F 8:2 FTUCA OH O F F F F F F F F F F F F F F F 7:3 FTCA O O F F F F F F F F F F F F F F F OH O F F F F F F F F F F F F F F F 7:3 beta-keto aldehyde PFOA NH2 O NH S OH F F F F F F F F F F F F F F F O NH OH O OH O 8:2 uFTOH - GS OH O F F F F F F F F F OH O F F F F F F F F F F F OH O F F F F F F F F F F F F F OH O F F F F F F F F F F F F F F F F F PFPeA PFHxA PFHpA PFNA The views expressed in this poster are those of the authors and do not necessarily reflect the views or policies of the U.S. EPA • Per-and Polyfluoroalkyl Substances (PFAS) are contaminants of emerging concern because of • Wide distribution • Resistance to degradation • Potential adverse health outcome • There is a need for a greater understanding of the fate and effects of these chemicals within organisms regarding •Bioaccumulation •Metabolism •Toxicity • Most of the existing PFAS metabolism literature pertains to mammalian species. Little is known regarding the activity of PFAS in non mammalian species, such as fish. • The rainbow trout (RBT) liver slice assay has been successfully used to study chemical metabolism of chemical classes other than PFAS. • Metabolic Pathways Knowledgebase Platform (MetaPath) uses a systematic process for compiling metabolism map information from across the open literature to build metabolism databases. Introduction Parent Chemical Screening Results Acknowledgements Sara Mary Daley l Daley.Sara.M@epa.gov l 218-529-5187 Metabolism of per- and polyfluoroalkyl substances (PFAS) in rainbow trout (Oncorhynchus mykiss) using an ex vivo model. Sara M. Daley1, Jose Serrano2, Richard Kolanczyk2, Mark Tapper2 1Oak Ridge Institute for Science and Education Research Participant, Oak Ridge, TN, USA 2U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Great Lakes Toxicology and Ecology Division, Duluth, MN, USA References We thank Tylor Lahren for assistance in operating the LC-MS (USEPA/ORD/CCTE), Megan Saley (ORISE) for assistance in preparing samples, and Evan Timmerman for maintenance of fish cultures. This project was supported in part by an appointment to the Research Participation Program at the Office of Research and Development Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and EPA. Conclusions Objectives Han J. et al. A Roadmap to the Structure-Related Metabolism Pathways of Per- and Polyfluoroalkyl Substances in the Early Life Stages of Zebrafish (Danio rerio). Environmental Health Perspectives 2021. Nabb D. et al. In Vitro Metabolism of 8-2 Fluorotelomer Alcohol: Interspecies Comparisons and Metabolic Pathway Refinement. Toxicological Sciences 2007. Kolanczyk R. et al. MetaPath: An electronic knowledge base for collating, excha
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The PEPSI ultra-high resolution spectral library of M dwarfs Yutong Shan1,2, Mathias Zechmeister1, Ansgar Reiners1, Ilya Ilyin3, Klaus Strassmeier3 yutong.shan@geo.uio.no [1] Reiners, Mrotzek, Lemke, Hinrichs, & Reinsch, 2016, A&A, 587, A56 [2] Strassmeier, Ilyin, & Weber, 2018, A&A, 612, A45 [3] Adibekyan et al., 2020, A&A, 642, A182 [4] Husser et al., 2013, A&A, 553, A6 [5] Zechmeister, Shan, Reiners, Ilyin, & Strassmeier, in prep. [6] Shan et al. 2021, A&A, 654, A118 [7] Nagel et al., 2023, A&A, 680, A73 [8] Blanco-Cuaresma 2019, MNRAS, 486, 2075 [9] Ryabchikova et al., 2015, Physics Scripta, 90, 5 [10] Pakhomov et al., 2019, Astron. Rep., 63, 1010 References Abstract: We present a forthcoming library of M dwarf spectra taken with the ultra-high resolution spectrograph PEPSI (R = 250 000). Our library consists of 7 nearby inactive M dwarfs spanning spectral types M0 to M7, including several known planet hosts. The wavelength coverage (383 — 906 nm) approximately captures the peak of the M dwarf flux density distribution. In particular, the 700 — 900 nm window is information-rich and suitable for chemical abundance measurements. The PEPSI spectral templates will be an invaluable resource for the community by enabling precise radial velocity measurements for exoplanet searches, as well as detailed tests of cool dwarf atmosphere models and refinements of relevant line lists for chemical analysis. 3. The M dwarf sample Our library consists of high-S/N PEPSI spectra for 7 nearby inactive M dwarfs [5]. 1. Why ultra-high resolution? Ultra-high resolution (UHR) stellar spectroscopy encodes information on important stellar properties, including fundamental parameters, chemical compositions, and physical processes in the atmosphere [1, 2, 3]. They also serve as templates for precise radial velocity measurements for exoplanet searches. Cool dwarfs have complicated spectral features that are poorly explained by state-of-the-art models, hampering their interpretation and application. High-quality, UHR spectra can help to map these features and enable detailed refinement of atmosphere models. 1. Institut für Astrophysik und Geophysik, University of Göttingen, Germany; 2. Centre for Planetary Habitability, University of Oslo, Norway; 3. Leibniz-Institut für Astrophysik Potsdam, Germany Star SpT Teff (K) V mag Vrot (km/s) Planet host? S/N @ 830 nm GJ 548A M0V 3985 9.7 0.28 330 GJ 701 M1V 3706 9.4 0.18 380 GJ 226 M2V 3554 10.4 0.46 278 GJ 581 M3V 3500 10.6 0.12 yes 253 Barnard’s Star M4V 3254 9.5 0.06 ? 645 CD Cet M5V 3214 14.0 0.07 yes 92 Teegarden’s Star M7V 3034 15.1 0.06 yes 49 4. Data access Sneak preview: all data and interactive explorer to be made available on the web, similar to [2]. Stay tuned! Acknowledgement: This work has made use of the VALD database, operated at Uppsala University, the Institute of Astronomy RAS in Moscow, and the University of Vienna. 5. Example spectra & science applications The hyperfine structure (HFS) of vanadium [6] is exquisitely resolved. It is remarkably well-described by model spectra that includes HFS components. Also shown: CARMENES spectra [7] and PHOENIX- ACES model spectra [4]. iSpec model is generated with the iSpec code (MARCS + Turbospectrum) [8] and VALD3 line lists [9, 10]. Detailed model comparisons Detection of chemical elements Wavelength segment with various atomic lines and nice pseudo-continuua enable measuring chemical elements like chromium (Cr) and nickel (Ni). Mismatches with state-of-art synthetic spectra model (PHOENIX-ACES [4]) highlight inadequacies in the treatment of molecules, esp. in late-Ms. HARPS CARMENES- VIS ESPRESSSO Wavelength (nm) 380 – 690 520 – 960 380 – 788 383 – 906 Resolution 115,000 90,000 190,000 250,000 Telescope diameter 3.6 m 3.5 m 8.2 m x 4 8.4 m x 2 Location North + South North South North PEPSI = Potsdam Echelle Polarimetric and Spectroscopic Instrument is an ultra high-resolution optical to near infrared wavelength spectrograph on the Large Binocular
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U.S. Environmental Protection Agency Office of Research and Development EPA www.epa.gov  Calculation of Potency Ratio (PR): The lower 5th percentile of concentrations that caused a 50% of maximal response (AC50) in NSR assays was compared to the 5th percentile AC50 in non-NSR assays.  PR < 0 indicated greater potency in NSR assays for 103/238 = 43.3% of neuroactive substances with sufficient data. Summary 88% of neuroactives substances are active in >=1 ToxCast assay endpoint; 72% are active in >=1 NSR assay endpoint. Lack of detection in the remaining 12% of neuroactive substances may be due problematic physicochemical properties for some. The number and lack of testing of the remaining undetected neuroactive substances seems insufficient to reveal a gap in the biological space for the detection of neuroactivity. Most whole-cell neuronal assay endpoints detect a greater percentage of neuroactive than other substances tested. Trends for metals, pyrethroids, and organochlorines suggest that NSR assays may detect activity at lower concentrations than other assays. Conclusions Overall, the majority of neuroactive substances evaluated here were detected by ToxCast assays. NSR assays will likely play a role in detecting neuroactive substances at sufficiently sensitive concentrations. Future directions Use in vivo to in vitro extrapolation to compare concentrations at which neurological effects are seen in vivo to the concentrations at which activity is observed in vitro. Assess the activity of neuroactive substances with a known mechanism of action in appropriate target-based assays. Evaluation of the ToxCast Assay Suite for the Detection of Neuroactivity Carpenter, A. F.1,2*, Carstens, K. E.1,2, Martin, M. M.1, Shafer, T. J.1, Paul Friedman, K.1 1 Center for Computational Toxicology and Exposure, ORD, US EPA, RTP, NC 27711 2 Oak Ridge Institute for Science and Education, Oak Ridge, TN, 37830 Amy F. Carpenter l carpenter.amy@epa.gov This poster does not reflect US EPA policy. A.F.C. was supported by appointment to the Research Participation Program of the U.S. Environmental Protection Agency, Office of Research and Development, administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and the U.S. EPA. Neuroactive substances not detected in ToxCast are largely volatile or have not been extensively tested in NSR assays Potency in NSR versus other assays varies by substance 4023/P721 Computational Toxicology I March 29, 2022 10:45am - 12:30pm Society of Toxicology Annual Meeting & ToxExpo 88% of neuroactive substances are detected in >=1 ToxCast endpoint. 80% of other tested substances are also detected in >= 1 ToxCast endpoint. NSR assay endpoints provide comparable sensitivity with higher specificity for neuroactive substances. Difference in % neuroactive vs. other substances detected increases with higher hit count threshold. 1. Russell S Thomas et al., “The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency,” Toxicological Sciences 169, no. 2 (June 2019): 317–332. https://doi.org/10.1093/toxsci/kfz058. 2. Human Protein Atlas proteinatlas.org 3. Mathias Uhlén et al., “Tissue-based map of the human proteome,” Science 347, no. 6220 (January 2015). https://doi.org/10.1126/science.1260419.  Wilcoxon signed rank test: Tested for shift in distribution of PRs towards greater potency in NSR or non-NSR assays by chemical class.  PR’s for organophosphates shifted ~0.5 log10 µM towards greater potency in non-NSR assays.  Several organochlorines, pyrethroids, and metals have PR < 0, though trend is not statistically significant after Bonferroni adjustment by chemical class. 𝑃𝑃𝑃𝑃= log10 5%𝑖𝑖𝑖𝑖𝑖𝑖𝐴𝐴𝐴𝐴50 𝑁𝑁𝑁𝑁𝑁𝑁𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎 5%𝑖𝑖𝑖𝑖𝑖𝑖𝐴𝐴𝐴𝐴50 𝑛𝑛𝑛𝑛𝑛𝑛𝑁𝑁𝑁𝑁𝑁𝑁𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎 Concluding remarks ToxCast detects activity from 88% of neuroactive substances Most whole-cell NSR endpoints appear qualitatively but not quantita
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spatial networks impact assessment library Tom Russell, Gordon Glasgow and Raghav Pant Environmental Change Institute, University of Oxford SIAM Conference on Computational Science and Engineering, March 2021 Code: https://github.com/nismod/snail Hazard maps Flood inundation under return periods, current and future climate scenarios, other spatial climate hazards. Infrastructure networks Energy, transport, water systems linked to population and economic activity. Infrastructure services Network models of service provision give knock-on effects and indirect impacts of individual asset failure. Fragility ∩ Exposure = Vulnerability Hazards of varying intensity will lead to direct damage to infrastructure assets. Δ Service Provision = Criticality Calculate impact of the failure of a single asset on overall service provision. Probability × Impact = Risk Introduce options to improve resilience, asset fragility, backups or redundancy, means of reducing the duration of service disruption. Summarise and prioritise options, calculate benefits of avoiding potential losses. With or without direct damage, there may also be a period of service disruption. Software sustainability We began work on this library after having conducted a number of analyses [1,2,3] which have developed both the methodology and the toolkit used to implement it. Scripts written for specific studies allow for narrow reproducibility of specific analysis. The library aims: to specify clear data requirements and possible outputs; to provide robust and efficient methods for spatial network analysis; and to be more readily reusable and teachable for similar use in other contexts. References [1] Oh et al. (2020) Addressing Climate Change in Transport: Volume 2: Pathway to Resilient Transport. World Bank. DOI: 10.1596/32412. [2] Pant et al. (2019) Planning for transport resilience under a changing climate. International Symposium for Next Generation Infrastructure. Buenos Aires. [3] Pant et al. (2020) Resilience study research for National Infrastructure Commission: Systems analysis of interdependent network vulnerabilities. Environmental Change Institute, University of Oxford. Available at: https://www.nic.org.uk/wp-content/uploads/Infrastructure-network-analysis.pdf
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A Structural and Spectroscopy Study of the Clusters Surrounding the Orion Nebula: NGC 1977 and NGC 1981 Braz, P.H.F.B.1, Corradi, W.J.B.2,1, Katime Santrich, O.J.3, Santos Jr., J.F.1, Roman-Lopes, A.4, Ferreira, F.A.1, Angelo, M.S.5, Maia, F.F.S.6, Andrés Piatti7 Universidade Federal de Minas Gerais - Brazil1, Laboratório Nacional de Astrofísica - MCTI - Brazil2, Universidade Estadual de Santa Cruz - Brazil3, Universidad de La Serena - Chile4, Centro de Federal de Educação Tecnológica - MG - Brazil5, Universidade Federal do Rio de Janeiro - Brazil6, Institutuo Interdisciplinario de Ciencias Básicas - Argentina7 Introduction The study of young open clusters (OCs) provides constraints to models of star formation and evolution as well as to the properties of the Galactic disc (Cantat-Gaudin et al. 2018; Ferreira et al. 2020; Holanda et al. 2021). The surrounding OCs of the Orion Nebula (ON) stands out as an interesting science cases to investigate star and cluster formation and evolution, because: • NGC 1981 presently inhabits a relatively dust-free field, while NGC 1977, located about 20’ southward of it, remains embedded within its progenitor cloud. • A sequential star formation scenario for the OCs in the ON region was suggested by Maia et al. (2010); • A hypothesis that the feedback from the massive and earlier formed OCs played a crucial role in triggering the subsequent star formation events in the ON and its surrounding younger populations was suggested by Bouy et al. (2014) (Fig. 1). 3.5pc (30’) NGC 1981 NGC 1977 OMC-2/3 M42 NGC 1980 M43 L1641-N V380 Ori iota Ori Figure 1: Optic photography of the region sorrounding the ON, where NGC 1981, NGC 1977, NGC 1980, M42 and other nearby populations are highlighted (Alves & Bouy 2012). Goals • Determine the astrophysical parameters and evaluate the origin and connection of NGC 1977 and NGC 1981; • Deepen the understanding of the star formation history of the clusters surrounding the ON; Methodology In order to characterize NGC 1977 and NGC 1981 we have performed the following steps: Astrophysical Parameters Determination • To separate the members of a clusters from the field stars we have used the data form Gaia DR3 (Gaia Collaboration et al. 2023) together with the decontamination method developed by our group, described in detail in Angelo et al. (2019) e Ferreira et al. (2020). Structural Parameters • We have performed a radial density profiles (RDP) analysis and the King’s profile fit (King 1962) to determine the limit radii (Rlim), the core radius (Rc) and the central density (σ0). Spectroscopy Analysis • The spectroscopic data of the brightest stars of NGC 1981, collected at CASLEO - Argentina (2015) and OPD - Brazil (2022), together with the spectra and the stellar parameters from the APOGEE data (Abdurro’uf et al. 2022) were used to analyze the radial velocity (Vrad) and metallicity ([Fe/H]). Astrophysical and Structural Parameters Table 1: Astrophysical parameters of NGC 1977 and NGC 1981. NGC 1977 NGC 1981 RA (◦) 83.85 83.83 DEC (◦) -4.81 -4.35 µα (mas/yr) 1.40 1.2 µδ (mas/yr) -0.75 0.6 ϖ (mas) 2.56 2.53 Rlim (”) 1000 ± 57 1062 ± 57 E(B-V) (mag) 0.07 ± 0.04 0.03 ± 0.04 (M-m)o (pc) 417 ± 54 381 ± 50 Age (Myrs) 4 ± 1 8 ± 1 [Fe/H] (dex) 0.04 ± 0.40 0.04 ± 0.57 Vrad (km s−1) - 41.6 ± 8.3 0 500 1000 1500 2000 2500 R (arcsec) 5.0•10-5 1.0•10-4 1.5•10-4 2.0•10-4 2.5•10-4 3.0•10-4 σ (stars.arcsec-2) BIN SIZE 225" 300" 375" 450" 525" 600" NGC1977_1_5_flags Sky fit 1-σ uncert. σbg = ( 0.000065 ± 0.000010) ( " )-2 0 500 1000 1500 2000 2500 R (arcsec) 2•10-5 4•10-5 6•10-5 σ (stars.arcsec-2) BIN SIZE 225" 300" 375" 450" 525" 600" NGC1981_1_5_flags Sky fit 1-σ uncert. σbg = ( 0.000031 ± 0.000006) ( " )-2 Figure 2: RDP of NGC 1977 (top panel) and NGC 1981 (bottom panel). The bins used on the fit are shown in arcsec on the panel. The limit radii (Rlim) and its error are represented by the solid and dashed vertical lines, respectively. The RDPs and King’s profile present fluctuations in
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ROMAN INVASION (55 BC) GERMANIC MIGRATION (5 C) CHRISTIANITY (6 C) VIKING INVASION 8 - 11 C) NORMAN INVASION (1066) THE GREAT VOWEL SHIFT 14 - 17 C) THE HISTORY OF LANGUAGE Get to know how English evolves The Roman empire invaded Britain for 400 years, they brought Latin language that had influence 30% off all English vocabulary. There were three Germanic tribes that migrated to Britain, there are; Anglo, Saxons, and Jutes. These Germanic tribes brought German language to Britain. In the late 6 century, St Augustine was sent from Rome to Britain in order to bring Christianity to the Anglo-Saxons. After that they established church buildings and monasteries, they also used Latin word, because at time Bible was written in Latin language. Vikings ( Norsemen ) began their invasion to Britain in the late 8 century, they also brought their language called Old Norse. The Norman became the ruling class ( royals, nobles ) after they won a war against Britain. They also brought their own language called Old French, and hundred years later it's merged with Old English and became Middle English. Between 14 - 17 century the great vowel shift occurred, some consonant sounds changed as well, because in 16 century the British began to explore and came back. The Great Vowel Shift brought the Middle English to Early Modern English periods. th th th Aisyah Restu Damayanti (03020321042) Ardi Rusdiyansyah ( 03040321094) Gisela Zahratul Afiah (03040321107) Ike Permatasi (03020321056) Ryzma Arasy Tartilla (03010321033) Group members: 1. 2. 3. 4. 5. 1. 2. 3. 4. 5. 6. th th th th th th th th Julius Caesar Germanic Boats Pastor Viking Soldier Norman Soldier Horatio Nelson
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SEASONALITY OF RESPIRATORY SYNCYTIAL VIRUS (RSV) INFECTION IN INFANTS AND YOUNG CHILDREN IN LUSAKA, ZAMBIA Ruth Nakazwe1, William MacLeod2, Leah S. Forman2, Lawrence Mwananyanda3, Magdalena Mwale3, Benard Ngoma3, Charles Chimoga3, Gertrude Munanjala3 , Zacharia Mupila3, Geoffrey Kwenda4, Caitriona Murphy3, Rachel C. Pieciak2, Donald M. Thea2, Christopher J. Gill2 1University Teaching Hospital, Lusaka, Zambia; 2Department of Global Health, Boston University School of Public Health, Boston, MA, USA; 3Right to Care Zambia, Lusaka, Zambia; 4Department of Biomedical Sciences, University of Zambia, Lusaka, Zambia Results Conclusions Introduction Research Question • Does RSV infection in infants in Lusaka, Zambia have a predictable seasonality? Rationale • By understanding the seasonality of RSV outbreaks we can create and implement targeted intervention strategies and improve the outcomes of Respiratory Syncytial Virus (RSV) infections among infants in Lusaka, Zambia. Longitudinal RSV Surveillance in Zambia • We have observed and tested infants for RSV across three cohort studies: the Pneumonia Etiology Research for Child Health study (PERCH); the Southern African Mothers Infants Pertussis study (SAMIPS) and the Zambia Pertussis/RSV Infant Mortality Estimation study (ZPRIME). Together these studies give us a clue into the patterns of RSV infection over several years. • PCR-confirmed RSV infection in infants is cyclical across PERCH, SAMIPS and ZPRIME (Fig 1). • Counts of PCR-confirmed RSV in the ZPRIME cohort peaked from February-April (Fig 2). • RSV is a significant cause of seasonal deaths among Zambian infants. • The number of PCR confirmed RSV infections is highest from January-April. • More data collection is needed to understand the drivers behind RSV seasonality in this location. Methods SAMIPS Figure 1. Longitudinal Surveillance of RSV Positivity in Infants across 3 cohort studies in Lusaka, Zambia Enrollment • Infants were enrolled at the University Teaching (PERCH, SAMIPS, ZPRIME) and Level 1 hospitals in Lusaka Zambia (ZPRIME) Sampling and Testing • Trained hospital staff collected Copan nasopharyngeal (NP) swab samples, and RSV (RSV-A, RSV-B) was identified using real-time PCR. • All samples were run with positive and negative controls and RNase P as a housekeeping enzyme control Study Duration Study Populations Infant Age Range PERCH Oct 2011 – Oct 2013 1,154 children hospitalized with severe pneumonia, sampled once 1-59 months SAMIPS Mar 2015 – Jan 2016 939 healthy infants sampled fortnightly 1-13 weeks old ZPRIME Sep 2017 – June 2019 (ongoing) 1,306 deceased infants sampled within 48 hours of death 4 days to <6 months Table 1. Summary table of cohort studies conducted in Lusaka, Zambia. We would like to recognize the families in Zambia who have suffered great loss and were willing to participate in these cohort studies. We hope that this research will help to prevent future deaths. The authors declare no financial conflicts of interest. Funding for the ZPRIME research is provided by the Bill and Melinda Gates Foundation, grant number OPP1163027. Figure 2. Percent PCR-confirmed RSV-positive NP swabs of total NP swabs tested by month in ZPRIME cohort. 2017 2018 2019 Gap between studies Gap between studies PERCH ZPRIME
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ACKNOWLEDGEMENTS Research personnel were funded both by ORD and by the American Chemistry Council Long-range Research Initiative (ACC-LRI). The views expressed in this poster are those of the authors and do not necessarily reflect the views of the U.S. Environmental Protection Agency. Applying a Tiered Risk-based Approach to Prioritizing Thousands of Chemicals for Further Evaluation: A Comparison of Current High Throughput Computational Approaches Chantel I. Nicolas1, Kamel Mansouri1, Patrick D. McMullen2, Rebecca A. Clewell1, Miyoung Yoon1, Martin B. Phillips1, Grace Patlewicz2, John F. Wambaugh2, and Harvey J. Clewell III1* 1ScitoVation, Research Triangle Park, NC and 2National Center for Computational Toxicology, U.S. Environmental Protection Agency, RTP, NC INTRODUCTION There is a need to prioritize thousands of environmental chemicals for further testing with the help of current computational technologies. Here we present a case study on applying a risk-based approach to chemical prioritization based on an initial triage by ranking the ratios between ExpoCast1 high-throughput exposure estimates and Thresholds of Toxicological Concern (TTCs)2. To demonstrate the applicability of TTCs for the initial triage, 358 ToxCast3 chemicals were processed as follows: 1) oral equivalent doses (OEDs)4 were calculated based on ToxCast bioactivity measurements and available metabolism data for estimating in vivo clearance, 2) TTC values were determined using the Cramer1 classification system, 3) OEDs and TTCs were then compared with available ExpoCast exposure estimates to determine their respective activity:exposure ratios (AERs). TTCs were lower than OEDs for 349 (97%) of the evaluated ToxCast compounds, implying that TTCs can serve as a conservative estimate of hazard in the absence of chemical- specific data. The TTC approach was then applied to a curated dataset of ~45,000 chemicals. In order to ground-truth the results, we curated an ensemble of compounds with established points of departure (e.g., no observed adverse effect levels (NOAELs)). TTC values were lower than NOAELs for all 128 compounds that overlap with the chemical database and have published NOAEL values based on a daily oral exposure. This study demonstrated the utility of exploiting computational approaches as part of a tiered risk-based approach to prioritize thousands of chemicals. This abstract does not necessarily reflect U.S. EPA policy. REFERENCES 1. Investigate whether TTC-based chemical prioritization approach is relevant for environmental chemicals of interest. 2. Compare TTC-based chemical prioritization to ToxCast OED-based chemical prioritization. 3. Ground-truth prioritization results by comparing available regulatory points of departure to TTC and OEDs OBJECTIVES Figure 9. Margin of exposures (MoEs) for top 50 ranking CERAPP compounds in grey dots (Cramer TTC Class III). 24 of these are ToxCast compounds, 3 have data necessary for HT-IVIVE, and 0 are ToxCast active compounds that also have data for employing HT-IVIVE. MoEs were calculated by dividing the Class 3 TTC (0.0015 mg/kg/d) by the upper 95% bounds on the ExpoCast SEEM2 exposure estimates in mg/kg/d. Some compound names were truncated for display. The breakdown of CERAPP compounds per Cramer class was roughly 82% (36773), 3% (1410), and 15% (6847), for Class III, Class II, and Class I, respectively (Figure 7a). Median margin of exposures for the three classes was 51.2, 392.1, and 1409.1 respectively (Figure 7b). Roughly 1000 chemicals have TTC-derived MoE of less than 10, while 164 have a margin of exposure of less than 1. These results are consistent with the a previous study10 comparing Cramer classes across compounds with biomonitoring data from the National Health and Nutrition Examination Survey (NHANES)11; 66% of NHANES compounds are in Cramer Class III. Furthermore, this study also illustrated that MoEs of less than 1 are feasible (58 compounds). Overall, TTC’s were more protective than
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FOR FURTHER INFORMATION REFERENCES [1] T. Lebo, S. Sahoo, D.L. McGuinness, PROV-O: The PROV Ontology, (2013). <http://www.w3.org/TR/prov-o/> [2] <https://github.com/CSIRO-LW-LD/prov/tree/master/real-things> [3] S J D Cox, Ontology for observations and sampling features, with alignments to existing models, Sem. Web J. (in press) [4] S J D Cox & N J Car, PROV and Real Things. MODSIM 2015 <https://www.researchgate.net/publication/284180374_PROV_and_Real_Things>. ACKNOWLEDGEMENTS Thanks to Keith Sircombe of Geoscience Australia for providing the story upon which this example is based. A second example based on identification of an insect specimen was provided by Catherine Car of the Western Australian Museum, is documented in [4] and is also available from GitHub [2]. Provenance of things Flexibility required While laboratory notebooks are used for private record-keeping, and laboratory information systems (LIMS) on a facility basis, this data is not generally published. Workflows are often scoped to a lab, or an instrument. New procedures and workflows are frequent, so formalization of the description of sample preparation and observations must be both rigorous and flexible. Geochemistry observations typically follow a complex specimen preparation process after field sampling. Details of this are required to support assessment of the reliability of the data produced, and to ensure reproducibility. We have applied W3C PROV [1] in describing complex retrieval, processing and observation processes associated with physical specimens. Describing sample preparation and observation workflows using PROV-O Simon J D Cox, Nicholas J Car LAND AND WATER Simon J D Cox e simon.cox@csiro.au w www.csiro.au/research/lwf Summary PROV-O provides a rigorous yet flexible tool for recording the workflow associated with sample preparation, with intermediate and final specimens used in observations, and the observation results themselves, to be linked back to the sample retrieved in the field. This complements the IGSN system, which focuses on registration of field samples. Core PROV model The core W3C PROV model [1] (shown above) distinguishes entities, agents and activities. Its design was primarily conditioned by stories around information resources (datasets, papers, reports). Here we extend its application to non-information assets. Application to geochemistry A provenance trace for a geochemistry workflow provided by Geoscience Australia is shown graphically (shown at left), with the RDF representation available from GitHub [2]. Note that both people and machines are modelled as ‘agents’ – this follows the precedent of W3C PROV which has a specialization for ‘Software agents’. Registers of agents should be established, allowing them to be referred to using stable URIs. In an OWL implementation of the O&M Standard that has recently been developed [3], the Specimen class is explicitly sub-classed from prov:Entity in order to utilize the capability illustrated here (see above). PROV supports a comprehensive trace of predecessor entities and transformations at any level of detail. Tony Jones Maham Aziz Amelia Davis Michelle Rouse Hammer: b45 SieveStack :80-200 CPV:2015-07-23 Viz:2015-08-02 Seiving:2015-07-18 Grinding:2015-07- 18/6 Splitting:2015-04- 18/9 FieldSampling:2015- 03-25/47 LF-09/2-gt- 80 81.6% CO3 75% CO3 LF-09/2- pulp LF-09 IGSN:CSIWALF09 Leederville formation Visual analysis protocol CC Entities: specimens, data, reports, protocols Agents: people, machines Activities: prep-phases, observations Activity Person Machine Physical entity Physical entity (destroyed) Record (data or report) Plan or protocol Key wasAssociatedWith wasAssociatedWith wasAssociatedWith wasAssociatedWith wasAssociatedWith Saw:s4 Mill:m7 wasAssociatedWith used used used used used used used used wasGeneratedBy wasGeneratedBy wasGeneratedBy wasDerivedFrom wasDerivedFrom wasDerivedFrom wasDerivedFrom LF-09/2-lt- 80 wasGeneratedBy CPV protocol LF-09/2 LF-09/1
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ECCS # 2203625: CDS&E: Machine-Learning-Driven Methods for Multiobjective and Inverse Design of van-der-Waals-Material-Based Devices PI: Jing Guo (email:guoj@ufl.edu) Department of ECE, University of Florida, Gainesville, FL, 32611 This work was supported by National Science Foundation Award # 2203625 Introduction Simulation of vdW-Material-Based FTJ Simulate Ferroelectric Tunnel Junction for Memory Simulation Tool Development & Deployment Conclusion Multi-Objective Design Results Background: Why van der Waals (vdW) Semiconductors for Electronic Devices? • Ultrathin thickness ductors preferred for excellent device scalability • A wide range of material choices with desired properties for device applications • Vertical vdW stacking to flexibly form heterojunctions (HJs) • Good carrier transport, optoelectronic, and mechanical properties • New device functionalities derived from unique material and HJ properties Acknowledgement • Machine learning methods explored for nanoscale transistor and memory device simulations. • ML assisted approach speeds up quantum transpot simulation of ferroelectric tunnel junction devices (for memory applications) • vdW heterojunction based FTJ can promise extradinarily large ON-OFF ratio • Tellurium NW array FETs promises significantly reduced leakage compared to CNT array FETs, which suffers from ambipolar transport • Multi-objective design optimizes multiple design targets, including speed, power, and device variations simultaneously and automatically. • Online simulation tools on nanoscale transistors based on 2D semiconductors deployed. ML TB Simlauton of Transistors based on vdW Materials Multi-Objective Design of vdW 2D FETs Device Performance Assessment https://nanohub.org/resources/2dfets 2DFET Tool - 2DFET is an online toll simulating the device characteristics of field-effect transistors based on 2D materials. - Model nanoscale transistors based on a wide variety of vdW 2D semiconductors by using a semi-analytical model. - Supporting >1,100 users since its depolymnet on nanoHub . Nanosheet FET Tool https://nanohub.org/resources/nanosheetfet This tool performs rigorous self-consistent quantum transport device simulations of vdW nanosheet FETs Desai et al., Science, 354, 99 (2016) 1nm-Gate-Length Transistor Memory Device: Ultrahigh On-OFF Ratio Wu et al. Nature Electronics, 3, 466 (2020) Objective 1 Objective 2 Optimal Pareto Front Design Target Objectiv e Domain Pareto front Parameter 1 Parameter 2 Design Parameter Space Two methods explored: • Non-dominated Sorting Genetic Algorithm (NSGA) • Pareto Active Learning (PAL) Simulation/evaluation Generation of new designs by using ML algorithms: • ML-Guided method automatically identifies the Pareto surface for three design targets (delay, leakage power, and variation • The method renders the distribution of the optimal device design parameters. • Pareto active learning (PAL) and non-dominated sorting genetic algorithms (NSGA) can achieve comparable results to identify the Pareto front. • PAL significantly faster than NSGA. Two design objectives: Delay and Dynamic Power: Three design objectives: Leakage, Variability, and Delay: T. Wu and J. Guo, IEEE Trans. Electron Devices, 68, 5476 (2021) Devlelop Machine Learning Methods for 2D-Material-Based Device, to: • Speed up demanding quantum transport device simulations • Develop multi-objective device design capacbilites • Delop an inverse device design framework Design goals of ferroelectric tunnel junction (FTJ) for non-volatile memory - Large tunneling resistance ratio between two states. - Large on-state current Metal 2 HZO or other FE Metal 1 Conventional FTJ: - limited barrier modulation - Scalability of tunnel layer 2D-material FTJ: - Graphene contact - 2D FE tunnel layer N. Yang, …, H. Wang, J. Guo, IEDM, p. 55 (2020) § FTJ devices show I-V characteristics in agreement with experiment § Unprecedently large tunnel electroresistance (TER) ratio >6×107 1 2010 2015 2020 10 0 10 1 10 2 10 3 10 4
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Map of the locations of the main sampling sites (handpicking localities are not included) Ecology of the ground beetles (Insecta: Coleoptera: Carabidae) from the Sarnena Sredna Gora Mts. Ecology of the ground beetles (Insecta: Coleoptera: Carabidae) from the Sarnena Sredna Gora Mts. Teodora Teofilova*, Nikolay Kodzhabashev *oberon_zoo@abv.bg Teodora Teofilova*, Nikolay Kodzhabashev *oberon_zoo@abv.bg Category Dominance structure No eudominant Laemostenus cimmerius 1 dominant Aptinus bombarda, Carabus montivagus, C. convexus, Molops piceus, Pterostichus oblongopunctatus 5 subdominant Abax carinatus, Calathus distinguendus, C. fuscipes, Carabus hortensis, [C. intricatus], Harpalus tardus, [Limodromus assimilis], Myas chalybaeus, [Xenion ignitum] 6 recedent Abax ovalis, A. parallelus, Brachinus crepitans, Br. explodens, Calosoma inquisitor, Carabus intricatus, C. coriaceus, Limodromus assimilis, Notiophilus rufipes, Pterostichus niger, Trechus quadristriatus, Xenion ignitum 12 Subrecedent all the rest 82 F Frequency of occurrence No > 50% constant 91%: Laemostenus cimmerius; 82%: Carabus convexus, Myas chalybaeus; 68%: Abax carinatus, Carabus montivagus; 64%: Carabus coriaceus, Trechus quadristriatus; 55%: Calathus fuscipes, Calosoma inquisitor, Harpalus tardus, Pterostichus oblongopunctatus 11 25–50% accompanying 45%: Carabus intricatus, Molops piceus, Notiophilus rufipes; 36%: Calathus distinguendus, Carabus hortensis, Xenion ignitum; 32%: Cychrus semigranosus, Pterostichus niger; 27%: Abax ovalis, Aptinus bombarda, Brachinus explodens, Carabus scabrosus, Laemostenus venustus, Molops alpestris 14 < 25% all other 81 Life forms No sp. % Class: Zoophagous Life form subclass: 1.1 – Phytobios 1.1.2 Stem-dwelling hortobionts 1 0.6 1.1.3 Leaf-dwelling dendrohortobionts 3 1.7 Life form subclass: 1.2 – Epigeobios 1.2.2 Large walking epigeobionts 12 6.9 1.2.2(1) Dendroepigeobionts 1 0.6 1.2.3 Running epigeobionts 3 1.7 1.2.4 Flying epigeobionts 3 1.7 Life form subclass: 1.3 – Stratobios Series: 1.3(1) – crevice-dwelling stratobionts 1.3(1).1 Surface & litter-dwelling 19 10.6 1.3(1).2 Litter-dwelling 16 9.1 1.3(1).3 Litter & crevice-dwelling 18 10.3 1.3(1).4 Endogeobionts 2 1.1 1.3(1).5 Litter & bark-dwelling 2 1.1 1.3(1).6 Bothrobionts 3 1.7 Series: 1.3(2) – digging stratobionts 1.3(2).1 Litter & soil-dwelling 21 12.0 1.3(2).2 Litter & crevice-dwelling 1 0.6 1.3(2).3 Bothrobionts 1 0.6 Life form subclass: 1.4 – Geobionts 1.4.1(1) Narrow-headed running & digging geobionts 1 0.6 Zoophagous total 107 61.0 Class Mixophytophagous Life form subclass: 2.1 – Stratobios 2.1.1 Crevice-dwelling stratobionts 9 5.1 Life form subclass: 2.2 – Stratohortobios 2.2.1 Stratohortobionts 16 9.1 Life form subclass: 2.3 – Geohortobios 2.3.1 Harpaloid geohortobionts 33 18.9 2.3.1(1) Crevice-dwelling harpaloid geohortobionts 2 1.1 2.3.2 Zabroid geohortobionts 5 2.6 2.3.3 Dytomeoid geohortobionts 3 1.7 Mixophytophagous total 68 39.0 This is the second part of the first purposive study on the ground beetles (Coleoptera: Carabidae) from Sarnena Gora Mts. So far, 175 species (23% of all Bulgarian Carabidae species) are to be found there. The present study aimed at analyzing the ecological structure of the carabid coenoses in relation to main ecological parameters, e.g. dominance structure, life form categorization, wing development, humidity and habitat preferences, with a subsequent assessment of the environmental trends and anthropogenic impact in the studied area. The species list is completed on the basis of the available bibliographic data and material collected during field trips carried out in 2017–2020. Ground beetles were collected with pitfall traps, hand picking and light attraction, and different types of habitats were sampled. Humidity preferences Humidity preferences H – hygrophilous MH – mesohygrophilous M – mesophilous MX – mesoxerophilous X – xerobiont, E – eurybiont Wing morphology Wing morphology m – macropterous D – wing di(poly)morphic b – brach
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U.S. Environmental Protection Agency Office of Research and Development CELL AGENT-BASED MODEL (ABM): multicellular and signaling dynamics were modeled in CompuCell3D (www.compucell3d.org/); the small working prototype simulated mouse hindlimb-bud development between Theiler stages 16-19 (~42h) in ~55,000 Monte Carlo Steps (MCS). ABM Gradients for FGFs, SHH, BMPS,GREM1, Retinoic acid (RA) and (RAD gradient: RA with aldrin and dieldrin). We mined the ToxCast high-throughput screening (HTS) database [1] for in vitro chemical-bioactivity profiles that significantly correlated with skeletal defects in ToxRefDB for prenatal developmental toxicity studies [2]. 734 of 1060 chemicals had in vivo developmental toxicity data; 44 of them (4-5%) produced limb defects. In addition, we identified 132 ToxCast chemicals not in ToxRefDB that according to published articles produced limb defects. We hypothesized that significant in vitro – in vivo correlations would reveal meaningful mechanistic relationships for predictive modeling of limb/paw defects. Introduction References Workflow for Data-mining DISCLAIMER: this work does not reflect EPA policy Conclusion and Future Directions Computational Toxicology and Computational Modeling of Limb Development using ToxCastTM High-Throughput Screening Data Ahir1 BK, Spencer2 RM, Baker3 NC, Judson, RS4 and Knudsen4 TB U.S. Environmental Protection Agency, Office of Research and Development 1 University of Illinois College of Medicine at Chicago, IL, USA, 2Applied Research Associations, Inc., 3Leidos, 4National Center for Computational Toxicology, Research Triangle Park, NC, USA Bhavesh Ahir l bhavesh.med@gmail.com l 312-989-6683 Hits to assay targets are based on if an AC50 (50% effect on the assay readout) was recorded (active) or not (inactive); the list was filtered for those assays with at least 3 true positive calls (p ≤0.05, TP ≥3). Assays were grouped by biological function; endpoint categories indicate limb or paw defects. Retinoic acid receptor (RAR) assays emerged as the top correlated target and were disrupted by 23 ToxCast chemicals. Vitamin A (retinol) and its biologically active derivatives (e.g. retinoic acid) are essential for embryonic development [4]. Endpoint Class Limb-bud Outgrowth Control Network ToxPi Ranking of in vitro Bioactivity Assay (Univariate Features) Chemicals with effects on limb/paw development were ranked by ToxCast bioactivity profile. Highlighted are aldrin, dieldrin, endrin, all-trans retinoic acid, and retinol. Retinoic acid (RA) signaling play an essential role in limb-bud outgrowth and patterning as a ligand for nuclear RA receptors (α, β, or γ) [4]. Aldrin and dieldrin (the major metabolite of aldrin) bind to RARs (α, β and γ) [5], and can activate these RARs. This is consistent with interference with RA- signaling. Chemical Disruption in the Agent-Based model (ABM) How might local effects predicted by HTS data propagate through the pivotal GREM1 cell lineage in silico to predict, therefore, a key event? We selected aldrin and dieldrin as known limb defect teratogens [5]. Our signature prediction suggest these two compounds are very potent (e.g. Dieldrin (concentration at 50% of maximum activity values (AC50) AC50 = 1.679 µM on RARγ, and 0.770 µM on RARα) and Aldrin (AC50 = 0.911 µM on RARγ, and 1000 μM on RARα) to RARs and activate the RARs assay (see ToxPi Results)). The agonistic activity of these two compounds activate endogenous RA levels, and excessive RA levels, downregulate GREM1 expression. Electronic knock down of GREM1 expression subsequently affects other important signaling networks (e.g. BMPs, FGFs and SHH), and the resultant outcome or ‘cybermorphs’ predict limb defects. The current results support the use of ABM as a predictive model for disruptive embryonic limb development, potentially leading to defects. The ABM correctly predicted that aldrin and dieldrin disrupt embryonic limb development [6] and predicts down-regulation of GR
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Sustainable biogas purification system in landfills and municipal solid waste treatment plants Promoting the use of biogas as a sustainable energy source A new cost-efficient and environmental friendly technology for biogas desulphurisation LIFE BIOGASNET system will present potential environmental advantages minimising the environmental footprint up to 55% by reducing the carbon dioxide emission and the waste generation More information: www.biogasnet.eu info@biogasnet.eu The project has received funding from the LIFE Programme of the European Commission under contract number LIFE18 ENV/ES/000426 Consortium: LIFE BIOGASNET European project demonstrates an innovative, sustainable and low-carbon footprint technology for biogas purification based on biological processes. The project aims to boost the use of biogas as a sustainable energy source and to promote renewable energies production through the circular economy concept.
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Anna Peterson*1, Brenton Gilbertson*2, Terri Jicha3 Examination of the data from the nutrient uptake assays found no significant difference in the initial nutrient concentrations between sites. Additionally, neither the differences in uptake rates between sites nor within each site were found to be significant. The regression slopes calculated for each nutrient at each sample location were also found not to be statistically significant. Pre-remediation Nutrient Cycling in the Pickle Pond AOC A comparison of the nutrient cycling between pre-remediation Pickle Pond and a nearby control site within the SLRE. Examine initial nutrient concentrations between sites as well as nutrient uptake rates between sites and within each site. Nutrient cycling is expected to be higher at the control site if contamination has had a negative impact on the functional indicators. 5L biotainer of water was collected from each site Water temperature and weather conditions noted Assay is done on all biotainers simultaneously Nutrients (KNO3, NH4H2PO4) were added to each biotainer at 10:00am Initial 200ml sample collected directly after nutrients were mixed in Biotainers are incubated in water (Fig 4A) for four hours with a sample point every hour Half of each sample is filtered with 60ml syringe and attachable 0.45µm acetate filter (figure 4B) Remaining portion is labeled as unfiltered Samples put on ice until frozen back at the lab. Study Sites Pickle Pond is a 9-acre pond separated from the bay by a railroad line with only two small openings connecting it to the bay. Historically, sewage outfalls were in Pickle Pond. Today, stormwater outfalls are present. Both have contributed to the accumulation of contaminates and gradual filling in of the pond. Loon's Foot Landing is located ~1.4 miles from Pickle Pond. The landing is near a retired taconite dock and now serves as a boat launch. Selected as the control site due to the proximity to Pickle Pond and natural connection to the estuary. Additionally, it does not have the direct contamination impacts that Pickle Pond has. Sites are displayed in Figure 3. The data presented here represents a small snapshot of how nutrients cycle through an aquatic ecosystem. Other data can be used in conjunction with the results from the nutrient uptake assays discussed. Sediment samples were collected from each site along with the water. The data from the 2020 sediment is currently being analyzed and could offer insight into how nutrients are processed at each location. Of particular interest is the enzyme activity and the role it plays in the nutrient cycle. The same suite of samples were collected from Pickle Pond and Loons Foot Landing in 2021. Upon completion of analysis, they will add another valuable year of pre-remediation data for a more robust comparison. The data collected pre-remediation will be used to compare to post-restoration values. This will allow us to determine if there were significant changes after the completion of the restoration at Pickle Pond. In addition to the samples collected and ran in the previous years, a new focus will be given to identifying Cyanobacteria through phytoplankton taxonomy, and phycocyanin fluorescence. The presence of Cyanobacteria could be useful in explaining the nitrogen fixation seen at some sites. Remediation is scheduled to begin in 2022 and sampling will continue. The proposed remediation (Fig 7) will feature the removal of contaminated sediment and invasive species, additional openings to the bay, as well as improving fish and wildlife habitat. Discussion  Filtered samples were analyzed for dissolved NO3-N, NH4-N, and PO4-P concentrations using flow-injected colorimetry (QuickChem 8000, Lachat Instruments, Loveland, CO, USA). NO3 -N and PO4-P were analyzed simultaneously by the cadmium reduction method (QuikChem Method 10-107-04-1-B 1996) and the ascorbic acid method (QuikChem Method 10-115-01-1-B 1996), respectively. NH4-N was analyzed using the sali
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„Nötig ist ein Zusammenspiel von Finanzabteilung, Controlling, Bibliothek und Vorstand.“ „Für das Informationsbudget braucht es den politischen Willen der Leitungsebene.“ Informationsbudget: Navigation auf den Wegen zur Open-Access-Transformation Erfahrungsaustausch auf dem Workshop-Ring: Fahren Sie zu neuen Impulsen und Entwicklungen. Auf dieser Strecke können Sie von anderen lernen, gemeinsam Lösungen entwickeln und über vielfältige Praxis-Erfahrungen diskutieren. Wege zum Informationsbudget: In dem Streckennetz sind Rahmenbedingungen und Bausteine als Haltestellen verzeichnet, die Ihnen bei der Einführung und Etablierung eines Informationsbudgets begegnen und helfen können. Welche Route wählen Sie? Welche Strategien und Potenziale passen zu Ihrer Einrichtung? https://doi.org/10.5281/zenodo.11617334 https://creativecommons.org/licenses/by/4.0/deed.de Rhein Modul: Ausgaben Informationsver- sorgung Modul: Ausgaben Produktion von Informationen Modul: Ausgaben nationale/internationale Mitgliedschaften oder Services Modul: Ausgaben Infrastruktur und Betrieb Modul: Ausgaben Personal Modul: Weitere Ausgaben Modul: Finanzierungs- quellen Kostenelemente und -vorgänge Rollen und Verantwortlichkeiten Virtuelle und reale Informationsbudgets Identifikation von Institutionen und Untereinheiten Beratungs- und Schulungsbedarf Nachhaltigkeit und Transparenz Reporting, Bereitstellung von Informationen, Steuerung Open-Access-Tage Köln, 10.-12.09.2024 Katja Dammann,a,b Lea Maria Ferguson,c,d Marcel Meistring,c,d & Paul Schultze-Motela,d a BMBF-Projekt open-access.network; bUB der Universität Bielefeld; cDFG-Projekt Transform2Open; dHelmholtz Open Science Office, Helmholtz-Gemeinschaft Die Workshopreihe „Finanzielle Gestaltung der Open-Access-Transformation an Hochschulen und Wissenschaftseinrichtungen“ ist ein Informations- und Diskussionsforum zu praktischen Fragen bei der Einführung eines Informationsbudgets. Die Reihe ist Teil des BMBF-geförderten Projekts open-access.network Das DFG-geförderte Projekt Transform2Open unterstützt das Zusammenspiel von Bibliotheksetats, Drittmitteln und weiteren Finanzmitteln an wissenschaftlichen Einrichtungen zur Schaffung von übergreifenden Informationsbudgets; in diesem Rahmen wird ein modulares Konzept zur Einführung von Informationsbudgets erarbeitet. Module zur Einführung eines Informations- budgets sind flexible Bau- steine, die sich an die spezifischen Gegebenheiten in den Einrichtungen anpassen lassen. Rahmenbedingungen und Erfolgsfaktoren sind für die Ein- führung eines Informationsbudgets entscheidend, um nachhaltigen Nutzen für die Open-Access- Transformation sicherzustellen. „Das Informationsbudget ist ein Thema, aber wir haben noch nicht damit angefangen.“ Start Informationsbudget (Köln Hbf) Beschäftigte in Wissenschaftseinrichtungen aus Bibliotheken, Finanzabteilungen, Forschungsabteilungen, Leitung Wissenschaftseinrichtungen erstellen ihr Informationsbudget, das alle Publikationskosten enthält (Erwerb, Bereitstellung, Finanzierung) und erstellen planbare Budgets für das Publikationswesen. Ziel open-access.network Workshops open-access.network Workshops open-access.network Workshops open-access.network Workshops open-access.network Workshops open-access.network Workshops
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Integrated Pest Management: Holistic Approaches to Managing Pests in Herbarium Collections Ms Erin Berkowitz1, Administrative Curator Mare Nazaire1, Volunteer Deb Woo1 1California Botanic Garden, Claremont, United States The Herbarium at California Botanic Garden (RSA) holds over 1.25 million vascular plant specimens, making it the 3rd largest herbarium in California. With over 850 cabinets, a collection of this size creates an often- overwhelming challenge to prevent, mitigate, and manage pest infestations. Further, pest management at this scale requires dedicated personnel and time, which was significantly hindered due to the COVID-19 pandemic. Prior to 2018, the RSA Herbarium’s Integrated Pest Management (IPM) practices were primarily word of mouth protocols. Additionally, the database used at that time for monitoring pest activity was inefficient and difficult to interpret, which presented challenges with data analyses. In 2018 the Herbarium experienced a surge in Lasioderma serricorne (cigarette beetle) populations within the collection, which served as the catalyst to our IPM reform. Staff reviewed current IPM literature and techniques and implemented several best practice methods in conjunction with the already established quarterly check method to better track and manage pests within the collection. With the help of a skilled volunteer, we developed a database to track pest activity more accurately and to better inform our pest management strategies. We also produced a detailed written protocol and implemented this as part of our routine training for all curatorial staff. Other pest management measures included installing additional pheromone traps in all areas of the building containing herbarium cabinets, eliminating environments hospitable to pests, and implementing a routine freezing treatment on specimen pressing supplies and cabinets in areas with inadequate climate control. The overhaul of RSA’s integrated pest management program over the past four years has helped us to holistically and effectively manage pests in our collection. Keywords: IPM, database, protocols, cigarette beetles, monitoring
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Can we investigate microplastic pollution with school students? Experiences from eight years of citizen science research Janto Schönberg* 1, Sinja Dittmann1, Tim Kiessling1, Linda Mederake 2, Mandy Hinzmann 2, Doris Knoblauch2, Katrin Knickmeier1, Martin Thiel3, 4, 5 4Millennium Nucleus Ecology and Sustainable Management of Oceanic Islands (ESMOI), Coquimbo, Chile 5Centro de Estudios Avanzados en Zonas Áridas (CEAZA), Coquimbo, Chile 1Kiel Science Factory, Leibniz Institute for Science and Mathematics Education (IPN) and Kiel University, Germany 2Ecologic Institute, Berlin, Germany 3MarineGEO Program, Smithsonian Environmental Research Center,Edgewater, Maryland, USA • Since 2016, schoolchildren and youth groups investigate litter pollution in and on rivers and since 2024 at coasts. • Main objectives are achieving a large scale overview on the riverine and marine litter pollution and increasing young peoples scientific literacy. • More than 25,000 people have participated from 11 European countries, generating over 1,700 datasets. • Data on plastic litter and the Plastic Pirates project was published in six peer-reviewed studies. Plastic Pirates Brief To get citizen science plastic litter data published, you need good and robust data. To get good and robust data, the project has to be carefully designed and closely supported at all stages. The successful publishing of our data relied on four well structured components of this citizen science project. Communication is key! Adapted from Dittmann et al. 2022 From Dittmann et al. 2023 • The purpose of the individual communication was to coordinate the shipment of sampling materials, answering questions regarding the organization and methodology of the sampling, and getting in contact to obtain missing data and samples and clarify questions regarding the citizen science data quality. • 12,767 mails were registered (7,237 sent and 5,530 received) • This represents more than 1,000 hours of work (assuming 5 minutes of attention per Mail), enough for 37 weeks of employment time (given a typical contract of 30 hours per week). Plastic Pirates Brief • A carefully designed project is advantageous in all phases of your initiative. • Implement a rigorous validation scheme to ensure best data quality. • Detailed and transparent communication with participants will help in obtaining scientifically valuable data. • Make sure to have the extensive personnel ressources needed for efficient communication Take-aways We are grateful to all schoolchildren and teachers who participated in the Plastic Pirates, without their effort the project could not have been realized!
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CHARACTERISTIC LENGTHS CALIBRATION The procedure of calibration of the characteristic lengths has been demonstrated for a Ti6Al4V Titanium alloy with the followign material properties: Both the elastic and the plastic characteristic lengths have been calibrated by confronting the load-displacement graphs and the distribution of the generated temperature at the shear band: ASSESSING TEMPERATURE AND STRAIN RATE EFFECT The ability of the model of capturing the effect of the strain rate and of the temperature inducing softening has been tested: DEFINING THE THERMOMECHANICAL MODEL The mathematical model of the thermodynamically-consistent visco-plastic Cosserat medium for small deformation was the first step upon which then the Finite Element could be created [3]. The degrees of freedom of the system are: where, besides the usual displacement, there is also the rotational degree of freedom, meant to describe the microstructure rotation. The structure of the model is built with the following items: This model has been successively discretized according to a Finite Element formulation, such that it was possible to incorporate it inside the software Z-Set. MOTIVATIONS Recent experimental observations at the micrometre or nanometre scale with newly probes such as nano-indenters and ato- mic force microscopes have suggested that classical continuum theories are no longer sufficient for a precise and detailed description of the corresponding deformation phenomena. These drawbacks have led to the recent development of theories that attempt to capture such phenomena via dependencies on plastic strain gradients. The purpose of strain gradient model- ling is twofold. First, it provides a continuum model that can account for size effects observed during deformation, machining processes or material processing. Second, it is well-known that severe deformation leads to strain localization, e.g. adiabatic shear banding. Finite element simulations of localization phenomena usually exhibit spurious mesh-dependence (dependence of the results on finite element size and orientation) that can be regularized by means of strain gradient models. Coupling with thermal diffusion can lead to regularization but associated length scales are generally too small. Material length scales, related to microstructural features like grain size or dislocation structures, then play an essential role for the understanding and simu- lation of localisation processes. The purpose of strain gradient modelling is twofold. First, it provides a continuum model that can account for size effects observed during deformation, machining processes or material processing. Second, it is well-known that severe deformation leads to strain localization, e.g. adiabatic shear banding. Finite element simulations of localization phenomena usually exhibit spurious mesh-dependence (dependence of the results on finite element size and orientation) that can be regularized by means of strain gradient models. Coupling with thermal diffusion can lead to regularization but associa- ted length scales are generally too small. Material length scales, related to microstructural features like grain size or dislocation structures, then play an essential role for the understanding and simulation of localisation processes. PROVING THE MESH INDEPENDENCY OF THE COSSERAT MODEL Before adopting the Cosserat model, it was our concern to prove that under purely strain-driven softening behavior the chosen method was able to deliver a mesh-independent solution. Classic CM Cosserat CHOICE OF A TEST TO REPRODUCE MANUFACTUING SIMULATION Manufacturing simulations are characterized by severe localization of the plastic strain in a narrow zone called Shear Band. The development of plastic strain involves rises in temperature, which might be locally retained if the production rate of heat due to plastic strain development is higher than the rates with which the temperature is diffused inside the bulk metal. In order to repr
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Simultaneous Measurements of Solubilities and Diffusion Coefficients of Volatile Species in Liquids Bernd J¨ahne, Institut f¨ur Umweltphysik and HCI, Universit¨at Heidelberg Bernd.Jaehne@iwr.uni-heidelberg.de 7th SOPRAN Annual Meeting, March 25/26, 2014, Universit¨at Bremen   State of the Art • For many volatile species of environmental importance, no measured diffusion coefficients in fresh water and sea water are available, but only theoretical estimates [6, 7] according to the Wilke and Chang relation [5]. • These estimates are associated with high uncertainties. • Most measurements do not cover full range of environmental tempera- tures, 0–40 ◦C. Solubility (partition coefficient α in cm3/cm3), diffusion coefficient D, and Schmidt number Sc in water for some gases and volatile species useful for gas exchange studies and/or of environmental importance. All values at 25 ◦C. Values marked in grey: no measurements available, only estimates. Species MG g/Mol α D, (10−5cm2/s) Sc Long-lived species 3He 3.02 0.0089 8.30 108 4He 4.00 0.0095 7.22 124 H2 2.02 0.0191 5.13 174 Ne 20, 22 0.0110 4,16 215 Kr 80–86 0.061 1.84 486 Xe 128–136 0.107 1.47 608 N2 28.01 0.0161 2.3 388 O2 32.00 0.031 2.6 344 N2O 44.01 0.591 1.92 468 CO2 44.01 0.86 1.92 468 methane (CH4) 16.04 0.0346 1.84 486 acetylene (C2H2) 26.04 0.97 1.68 532 n-hexane (C6H14) 86.18 0.0188 0.79 1131 cyclohexane (C6H12) 84.16 0.124 0.94 947 cyclohexene (C6H10) 82.15 0.54 0.92 971 benzene (C6H6) 78.11 4.4 1.10 812 Fluorocarbons CF4 88.00 0.0052 1.42 629 SF6 146.06 0.0060 1.20 745 pentafluorethane 120.02 0.184 1.12 798 difluoromethane (CH2F2) 52.02 2.1 1.64 545 CFC-12 (CCl2F2) 120.91 0.052 1.08 825 CFC-13 (CClF3) 104.46 0.025 1.02 880 1,4-difluorobenzene (C6H4F2) 114.09 3.2 0.94 950 hexafluorobenzene (C6F6) 186.05 0.1 0.86 1039 Halocarbons chloromethane (CH3Cl) 50.49 2.55 1.40 638 bromomethane (CH3Br) 94.94 4.0 1.35 662 iodomethane (CH3I) 173.84 4.6 1.29 693 dichloromethane (CH2Cl2) 84.90 8.6 1.26 709 dibromomethane (CH2Br2) 173.84 27.2 1.16 770 diiodomethane (CH2I2) 267.84 66 1.03 867 chloroform (CHCl3) 119.38 6.3 1.08 827 bromoform (CHBr3) 252.73 44 0.98 912 Oxygenated volatile organic carbons (OVOCs) methanol (CH40) 32.04 5380 1.66 538 acetonitrile (C2H3N) 41.05 1270 1.38 647 acetaldehyde (C2H40) 44.05 342 1.39 643 dimethyl ether (C2H60) 46.07 25 1.30 687 acetone (C3H60) 58.08 690 1.28 698 Sulfur containing volatiles hydrogen sulfide (H2S) 34.08 2.51 1.35 662 carbonyl sulfide (COS) 60.08 0.48 1.48 604 carbon disulfide (CS2) 76.14 1.41 1.31 682 dimethyl sulfide (C2H6S) 62.13 12.7 1.35 662 Nitrogen containing volatiles ammonia (NH3) 17.03 670 1.72 519 dimethylamine 45.08 1410 1.45 715 trimethylamine 59.11 363 1.04 519 Previous Experimental Approaches Diaphragm Method Diffusion through a water diaphragm gel (0.5% agarose) with thickness d supported by a 0.5 mm silicon rubber membran [1]. Evaluation by modifed Barrer method [1] Diffusion constant from delay: Tl = d2 6D Solubility from linear concentration increase (slope m): m = αD dheff6D Works very well for inert gases with low solubility, not suitable for volatile liquids because of high surface to volume ratio of apparatus [4]. Jet Method From Petermann [3] • Short contact times • Invasion flow proportional to α √ D • Evasion flow proportional to √ D • Difficult to handle, not suitable for automated operation. Proposed Novel Experimental Approach • Simultaneous determination of diffusion coefficients and solubility by gas transfer measurements in gas-tight tank • Partly filled with water (Vw) and argon atmosphere (V a) • Built out of seawater-resistant aluminum, total volume 15 L; suitable for corrosive gases and liquids • Gas phase stirred by wind paddle • Temperature control by Peltier cooling/heating • Automatic measurements using computer-controlled mass flow control- lers and magnetic values • Use of reference tracers with well known diffusivity and solubility for absolute measurements of diffusion coefficients; candidates marked red in table on left. Tran
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M A I N A C H I E V E M E N T S : 1. Definition of the architecture, based on the concept of Reusable Functional Blocks (RFBs). 2. Pro-active monitoring and feedback allowing services to react on demand 3. Lightweight virtualization: fast (milliseconds) boot times, ultra-efficient packet processing in modular software routers 4. Modelling of network functions through semantic description allowing simulations and verifications for increased security 5. Prototype of a Cloud-RAN that is decomposed into RFBs. It includes front-haul and core 6. Prototype of a Mobile Edge Computing (MEC) that is decomposed into RFBs; it runs a video delivery application T W O T E S T B E D S : • Nokia France premises: a hardware and wireless platform allowing to demonstrate innovations (e.g. Cloud RAN, RFB decomposition,...) conducted in the project and made accessible to all partners • BT UK premises: hardware platform consisting of 5 servers and a switch (made accessible to all partners) which allows flexible virtualisation experiments and demonstrations to be run by all partners T W O D E M O N S T R AT I O N S : 1) Rapid deployment/reconfiguration of a software-defined wireless network (C-RAN), integrated with Mobile Edge Computing, for efficient video delivery from the edge. 2) Demand-driven orchestration for 5G deployment The project has received funding from European Union’s HORIZON 2020 Research and Innovation Programme under Grant Agreement n°671566 W H O W H E N W H E R E W H Y W H AT H O W Provisioning network functions and services on-the-fly, running them anywhere in the network, moving them transparently to different locations, and making them portable across multiple hardware platforms. Benefits: - location-independence: network services deployable in heterogeneous networks - time-independence: near instantaneous deployment and migration of services - scale-independence: transparent service scalability - hardware-independence: development and deployment irrespective of the underlying hardware. End results: A cloud-native 5G concept that will enable innovative use cases at the mobile edge, empower new business models, and reduce investments and operational costs. To tackle crucial today’s shortcomings: The increase of world population and proliferation of new or improved applications and services that need network connectivity pose more and more demanding requirements to networks; but revenue growth for telecom operators is expected to halve from now to 2020. Demand cannot be satisfied by simply increasing network capacity, especially in networks that are becoming always more diverse, dense, mobile and changing unpredictably. Specific technical issues: • long provisioning times • wasteful over-positioning used to meet variable demand • reliance on rigid and cost-ineffective hardware devices • complexity, emerging from heterogeneity of traffic and sources, services and needs, and access technologies. • decomposition of network components and services into elementary and reusable primitives • native, converged cloud-based architecture • virtualization of radio and network processing tasks • platform-independent abstractions, permitting reuse of network functions across heterogeneous hardware platforms while catering to the vendors’ need for closed platforms/implementations • high performance software optimizations along with leveraging of hardware accelerators March 2018 S U P E R F L U I D I T Y
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Scaling MetPy to Big Data Workflows in Meteorology and Climate Science Presenter: Ryan M. May rmay@ucar.edu What is MetPy? MetPy is an open-source package that provides various tools for meteorology and atmospheric science implemented in Python. This community-driven package leverages the broad base of functionality in the scientific Python ecosystem. For more information, see MetPy’s documentation at: https://unidata.github.io/MetPy To request a feature, report a bug, or see the current plans, visit: https://github.com/Unidata/MetPy/issues @metpy ●Reading data: NEXRAD, GEMPAK, GINI, METAR ●Calculations ○Severe weather indices ○Thermodynamic and kinematic quantities ○Isentropic interpolation and gridding ○Many more... ●Meteorology-specific plotting ○Skew-T ○Station Plots We are using scientific Python tools to make MetPy scale to Big Data, like climate and ensemble model datasets. Migrating bottlenecks within the code from Python to Cython allows us to increase performance, while maintaining much of the development benefits of Python. Bottlenecks Cython Many of the calculations within MetPy are straightforward and readily run in a vectorized fashion on large datasets. A few, especially those requiring vertical profiles of varying size, are difficult to write as array operations and instead require looping, which results in poor performance in pure Python code. These types of operations are important for calculations like CAPE, which is an important variable related to atmospheric instability, and used in climate modelling to relate to a variety of atmospheric hazards, like heavy rain and severe storms. Cython is a tool for writing code using a Python-like syntax that is compiled to C, and then machine native binaries; this allows code to run much faster than pure Python allows. Cython also interfaces very well with NumPy, the predominant array library within scientific Python. Together, this allows us to refactor calculations like CAPE to loop over data at the C-level, and in the end allow running the calculation with much more reasonable run time on large, gridded datasets. Authors: Ryan M. May1, M. Drew Camon1, Kevin H. Goebbert2, Jon Thielen3 1 UCAR/Unidata, Boulder, CO, USA 2 Valparaiso University, Valparaiso, IN, USA 3 Colorado State University, Fort Collins, CO, USA Packaging While using some compiled code addresses performance challenges, it makes the overall distribution and support of MetPy more complicated. This is because now the C code must be individually compiled for all supported platforms. This also means that individual problems have a greater chance of being particular to a specific platform. To address the problem of compilation and distribution, we are relying on a tool called cibuildwheel. This is a tool created by the open source community that greatly streamlines the process of running package builds across a variety of platforms available as workers on public continuous integration services, like GitHub Actions. This allows us to keep MetPy as a package that is relatively easy to release on a frequent basis. award OAC-2103682 Award OAC-2103682
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Objective: The Strategic CMO drives clinical and product development strategy supporting commercialization and impacting corporate valuation through key internal and external stakeholder and investor interactions. Clinical Development designs and maintains currency of all studies; works cross‐functionally to incorporate and balance regulatory requirements, payer data needs, and operational constraints in study designs. Clinical Operations operationalizes study designs for data generation to support registrational submissions. Medical Affairs focuses on data analysis, distillation, and dissemination so all stakeholders get the most current and accurate information on safety, efficacy, method of action, and differentiation of the company’s products. Challenge/problem: An experienced medical professional becomes CMO at a pre‐IPO gene therapy company – an exciting opportunity with challenges. How does the CMO remain strategic and prevent relegation – addressing urgent operational issues instead of building out a well thought‐through medical office? The CMO leveraged external partners focused on Medical Affairs, Pharmacovigilance and Clinical Development to help build the function and execute the strategy. Solution: Start Lean. Build a scalable framework. Expand with triggers. Outcome: Hire effectively to focus on value generating pieces. Leverage contractors and consultants for short‐term SME needs. Develop growth plans, models, and strategic frameworks. Identify potential new hires in advance to prepare for growth. Driven by corporate, regulatory, and competitive factors, expand the medical organization accordingly. Switch contractors and consultants to FTE’s once the role is proven valuable and needed. Benefits: One of the most successful newly launched companies, on its way towards becoming a leading gene therapy company. The Strategic CMO drives product research and development strategy and provides key support in external stakeholder and investor interactions Data / Evidence Generation Confidence Generation Clin Dev Clin Ops Med Affairs Traditional Functions Bridge Roles Strategic Outcomes Pre‐clinical • Site Setup • CRO Management • GCP • Medical Writing • KOL Management • Patient Advocacy Engagement • Clinician Education / Pubs • Scientific Exchange • HEOR • Clinical <‐‐> Investor Relations/CEO • Clinical <‐‐> Commercial • Study Design • Clinical Research • Biostats Phases 1‐3 Pre‐Launch Submission & Approval Launch IND Expansion • Robust and flexible clinical development plan • Strong patient advocacy based on science • Compliant sites and operations • Scientific <‐‐> Commercial • Patient/Site/Clinician <‐‐> Company • Readiness against competitive factors • Key contributions to investment community stakeholders • Strong demand for company success from investor community – based on the data    Clinical Development designs and maintains currency of all studies; works with Clinical Ops, Regulatory and Commercial operations to incorporate any operational constraints and feasibility aspects Clinical Development Study Design Creation Biostatistics Clinical Research Operational Collateral Review Scientific Data Review Pre‐clinical to Medical Bridge Study Design Education • Study synopsis • Study protocol • Statistical Analysis Plan • Scenario planning based on external factors • Regulatory submissions • Competitor analysis Clinical Operations operationalizes the study design and is responsible for data generation to support registrational data submissions Clinical Operations Study Design Input Site Activation CRO Manage‐ ment Supporting Vendor Management Compliance and Assurance Data Manage‐ ment Contrac‐ ting Coordina‐ tion • SOPs and procedural documentation • Trial‐related collateral • Clinical data sets • Execution of studies based on timelines Medical Affairs focuses on data analysis, distillation, and dissemination to ensure external stakeholders get the most up to date and accurate information on the safety, efficacy, m
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Activity You will need a door that separates a warm room and a colder room. It could be the front door if it’s cold outside. Make a thin strip of tissue. Open the door a tiny bit. Hold your tissue down low in the draft of air - which way is the air moving? The draft happens because cold dense air is moving into the warmer, thinner air. We experience the weather directly ourselves. We can investigate and understand the world around us. We can apply our knowledge to make our lives better and to help others and our natural world. As we learn more about how the weather works, we can become better at managing its impacts and more insightful about our impact on our world. INVESTIGATING Flood defences help protect our homes - for when it rains a lot! Some countries experience hurricanes – people know to minimise damage by boarding up their windows. Does thunder and lightning scare you or excite you?! How do we How do we make sense of the make sense of the weather? weather? Have you ever leant into a really strong wind and felt its force?
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SCIENCE 2.0 & OPEN SCIENCE IN HIGHER EDUCATION PROJEKT IM FORSCHUNGSVERBUND INA BLÜMEL, TIB // TAMARA HECK, HEINRICH-HEINE-UNIVERSITÄT DÜSSELDORF // CHRISTIAN HEISE, OKFN // ISABELLA PETERS, ANSGAR SCHERP, ZBW // LUZIAN WEISEL, FIZ KARLSRUHE CHECKLIST – HOW CAN A LECTURER CONTRIBUTE TO OPEN LEARNING? Results from the OER Workshop, Feb. 2016, Berlin // CHALLENGES // REQUIREMENTS / FIRST STEPS // PERSPECTIVES / YOUR IDEAS OPEN COLLABORATIVE TOOLS: Wikis, discussion platforms, learning platforms OPEN COMMUNICATION: discussions and comment options, feedback options OPEN EDUCATIONAL RESOURCES: literature, presentations, learning material, exercises OPEN MUTUAL ENGAGEMENT: common goals, respect, open for diverse opinions, open for criticism Make yourself aware of how COLLABORATION and EXCHANGE qualitatively improve your lectures and those of others, e.g. referring to networking, visibility and reputation. Use Wikis, Etherpads and other COLLABORATIVE TOOLS REGULARLY in your lectures to be able to get student feedback concerning the tools’ usefulness and to encourage students to edit seminar material. Consider your teaching materials as “LIVING SLIDES” or “living handouts”. Establish a collaborative teaching process a) Try to INCLUDE EXTERNAL PARTNERS (universities, companies, ...) in your conception of team work to train realistic and hands-on project situations. b) Go along with the team work process and PAY ATTENTION to a well-balanced roles in the student teams. c) ASSESS collaborative student contribution (e.g. extra credits) Let your students know that collaborative work is an ESSENTIAL SKILL and important for their future profession because they will have to solve complex tasks and therefore need other peers to support them. Let your students EXPERIENCE REALISTIC and hands-on examples. Make them aware of the different roles that are essential in collaborative working (e.g. moderator, reviewer) and that are homogeneous and complementary. Show your students that collaborative working requires COMMUNICATION and COMPREHENSION about working processes, feedback processes as well as the future usage of collaborative content. ENCOURAGE THEM to use collaborative results for their studies. Establish exchange and communication about collaborative teaching and learning among your colleagues: a) CAMPAIGN FOR SUPPORT to foster collaboration and exchange as criteria for high-quality education. b) TELL YOUR COLLEAGUES, who might have objections against more openess, about your positive experiences like achieving higher learning satisfaction with open teaching scenarios. Mention chances that come with open teaching and communicate them to foster exchange among your colleagues. c) Let your colleages know that digital communication and collaboration (with and among students and also with colleagues) SAVES TIME AND WORK in the long run. OER Camp: http://bit.ly/OERcamp2016 Blogpost: http://bit.ly/OERcamp_workshop Please join the discussion: https://pad.okfn.org/p/science20_in_der_lehre_checklist Literature: Bocconi, S.; Kampylis, P.; Punie, Y. (2012). Innovating Learning: Key Elements for Developing Creative Classrooms in Europe. JRC Scientific and Policy Reports. Luxembourg: Publication Office of the European Union. http://ipts.jrc.ec.europa.eu/publications/pub.cfm?id=5181 McAleese et al. (2014). Report to the European Commission on New Modes of Learning and Teaching in Higher Education. Luxembourg: Publications Office of the European Union. OECD (2012). The next strand of the Innovative Learning Environments (ILE) project. Implementation and change. Retrieved Apr 26, 2016 from http://www.oecd.org/edu/ceri/49800333.pdf
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We explore the complementarity between LHC searches and neutrino experiments in probing neutrino non- standard interactions. Our study [1] spans the theoretical frameworks of effective field theory, simplified model and an illustrative UV completion, highlighting the synergies and distinctive features in all cases. We show that besides constraining the allowed NSI parameter space, the LHC data can break important degeneracies present in oscillation experiments such as DUNE, while the latter play an important role in probing light and weakly coupled physics undetectable at the LHC. Neutrino Non-Standard Interactions: Complementarities Between LHC and Oscillation Experiments Sudip Jana Max-Planck-Institut für Kernphysik, Heidelberg, Germany 1. K.S. Babu, Dorival Gonçalves, Sudip Jana and Pedro A. N. Machado, arXiv: 2003.03383 [hep-ph]AbstractNeutrino NSI from EFTs to Simplified ModelsComplementarity between LHC and neutrino experimentsTowards a UV complete scenarioConclusionsBibliography We have explored the complementarity between neutrino experiments and LHC searches in probing neutrino NSI. It covers the full span of theory frameworks: effective field theories, simplified models, and an illustrative UV completion. The LHC sensitivities to NSIs display relevant synergies to oscillation results. Namely, (i) the breakdown of degeneracies among NSI and oscillation parameters, (ii) sensitivity to new phenomenological signatures at the LHC. As a by-product of our analysis, we have shown that the use of EFT at the LHC in estimating sensitivity to NSIs is not generally theoretically consistent. Any UV complete model of neutrino NSI is expected to provide a more extensive phenomenology, especially since neutrinos are in the same SU(2)L doublet as charged leptons. In this UV completion the B − L number is gauged, but only for the third family. Heavy mediators are strongly constrained by LHC data. Low mediators constrained by low-energy experiments. Low energy constraints, dedicated LHC searches, and missing energy signatures provide strong constraints for different masses of the mediator. For masses below about 10 GeV, low energy observables tend to dominate. In the intermediate regime 10 − 100 GeV, dedicated searches for visible signatures at the LHC become more relevant. Finally, from 0.1 − 1 TeV LHC mono-jet searches, low energy observables and electroweak precision observables (up to the T parameter model dependence) play the leading role. This makes manifest the complementarities among collider data, oscillation measurements, and other low energy observables. Differently from the LHC, the effects of NSIs in neutrino oscillations strongly depend on the flavor structure of the NSI and the oscillation channel being studied. The effects of different NSIs and/or variations of the standard oscillation parameters can, in some cases, compensate each other and lead to well known degeneracies. Disentangling those is a difficult task at neutrino facilities. In contrast, the mono-jet signal at the LHC, does not distinguish between different choices of flavors i.e., they all lead to the same observables. Besides constraining the currently allowed NSI parameter space, this feature can be further exploited to break relevant degeneracies. The LHC sensitivity displays a strong dependence on the mediator mass, but it is free of parameter degeneracies. Neutrino oscillation measurements, on the other hand, exhibit the opposite behavior: significant degeneracies and no mediator mass dependence. The matter potential induced when neutrinos travel through a medium is not affected by a diagonal, universal contribution (as this just induces an overall phase shift on the neutrino state). On the other hand, LHC data is sensitive to each and all NSI parameters independently. Neutrino oscillations are not sensitive to axial interactions, while LHC data is sensitive to both vector and axial new physics contributions. All these features s
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A Case of Racial Discrimination: Azeglio Bemporad, astronomer poet Angela Mangano INAF- Catania Astrophysical Observatory, Italy The stories from our archives do not only speak of scientific progress, tools and data, but also of the events of the astronomers as men, and the intertwining of their work and private, political and social life. In the case of Azeglio Bemporad, who worked at Catania Astrophysical Observatory until 1938, year of purge against Jews in Italy, the painful history of Fascism enters fully our scientific institutions, changing the life of a person who had never dealt with politics. Documents: Doc. 1: Letter n. 751 dated 17 June 1938/XVI, sent from Azeglio Bemporad to Minister for National Education, in: Historical Archive of Astrophysical Observatory in Catania, Correspondence Series, B. 5, f. 6 Doc. 2: Circular Letter n. 12336 dated 9 August 1938/XVI, sent from the Cabinet of the Minister for National Education Giuseppe Bottai, regarding: “Census of the staff of Jewish origin”, in: Historical Archive of Astrophysical Observatory in Catania,Correspondence Series, B. 5, f. 6 Doc. 3: Letter n. 845 dated 11 February 1939/XVII, sent from the Ministry for National Education, regarding: Handing over of the Osservatorio Astrofisico from prof. Azeglio Bemporad to Dr Luigi Taffara, in: Historical Archive of Astrophysical Observatory in Catania,Correspondence Series, B. 5, f. 7 In December 1938/XVI, Azeglio Bemporad, after having been forced to abide by all the provisions passed by the Government with regard to Jews, had to abandon his work, studies and ambitions as astronomer, handing everything over to Luigi Taffara (1881-1966), as Director-in-charge. Also the proposal which he had submitted to the ministry for completing work on the Astro-photographic Catalogue, completing its volumes totally free of charge, was rejected, and the assignment was transferred to Giuseppe Alessandro Favaro through the following letter: From: MINISTRY OF NATIONAL EDUCATION Rome, February 11th 1939/XVII No. 845 SUBJECT: Catania Astrophysical Observatory Delivery made by Prof. Bemporad Azeglio to dr. Luigi Taffara I have read the Observatory delivery report by prof. Azeglio Bemporad. Please communicate to Prof. Bemporad that I entrusted the completion of the astrographic catalogue to prof. Giuseppe Alessandro Favaro, who was appointed by me to go there and detect all the data, and if necessary, all the material related to the catalogue. Then you will want to communicate to prof. Bemporad that no later than the end of the current month he must leave the accommodation currently occupied by him in the Observatory. I look forward to an assurance of performance. (see doc. 3) It was a tremendous blow to see the work on the Catalogue taken away from him, to which he had devoted such passionate and constant effort throughout his lifetime and for which he had received recognition at international level. Indeed, during the International Astronomical Union Congress in Paris in 1935, he had been officially praised for making so much progress as regards the calculation and publishing work of the volumes in the Catania area, compared to other observatories. In the early months of 1939, he was forced to leave his quarters at the Observatory where he lived with his family. Other painful events followed this adversity: he moved to Adrano, at the foot of Mount Etna, and in 1943 his wife Annita Cingoli (1873-1943) died of a serious illness; then his house was burnt down by a fire caused by bombing during an air raid, which he miraculously escaped as did his son Guido and daughter Bice. At last, on the 28th of December 1943, the allied forces invaded the island; he was reinstated in his capacity as Director, but he was no longer able to conduct any scientific work due to ill health. He died in Catania on the 11th of February, 1945. Azeglio Bemporad, born in Siena on March 19th 1875, attended the Liceo Classico Forteguerri in Pistoia, and the humanities rem
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Exploring New Physics with PandaX-4T Low Energy Electronic Recoil Data Xinning Zeng PhD Student on behalf of PandaX xinningzeng@sjtu.edu.cn Dual Phase Liquid Xenon TPC Why LXe TPC? 1. Large A: large cross section & self-shielding; 2. 3D reconstruction and fiducialization; 3. Scalable; 4. Discrimination power. Detector Response 1. The detector response of low energy electronic recoil events is modelled by NEST ( Noble Element Simulation Technique); 2. Detector parameters (e.g. recombination rate, photon detection efficiency) are fit to Rn calibration data using unbinned likelihood fitting with emcee; 3. Calibrated NEST also fits well with sliced calibration data. The PandaX-4T experiment operates a dual-phase liquid xenon time projection chamber (LXe TPC) that is located in China Jinping Underground Laboratory. Energy release in xenon will produce prompt scintillation photon signals (S1) and ionized electrons. Electrons drift up under the influence of a downward electric field in the SV, and the delayed electroluminescence signals (S2) are generated in the gaseous xenon region with a much stronger electric field. Background Level Sensitivity to New Physics • Tritium spectrum identified in the data, which is likely originated from the tritium calibration at the end of PandaX-II; Tritium estimation comes from pre-fit of S1 spectrum, since no extra experimental constraints; • Beta events from 214Pb/212Pb is monitored by (5.5/8.8 MeV) 𝜶of 222Rn/220Rn. The activity of 214Pb is estimated to be 4.50 ± 0.20 µBq/kg (Run 0) and 5.52 ± 0.25 µBq/kg(Run 1), and 212Pb is estimated to be 0.28 ± 0.08 µBq/kg; • Beta events from 85Kr based on the delayed 𝛽−𝛾coincidence events of meta-stable state 85mRb, the activity of 85Kr is estimated to be 0.52 ± 0.27 ± 0.01 ppt and 0.94 ± 0.28 ± 0.02 ppt for Run 0 and Run 1; • Radioactivity of materials of the detector are estimated from high- purity Germanium counting-station and detailed fit of 0.44 - 2.6 MeV spectrum. • Long lived xenon isotopes, including 136Xe and 124Xe are calculated based on the measured half-life; L-captures (5.2 keV) of cosmogenically activated 127Xe in Run 0 is fitted from K-capture (408 keV); • Solar neutrinos are calculated using Standard solar models and the standard model anomalous magnetic moment; • Accidental backgrounds, resulting from the random pairing of S1 and S2 signals are estimated to be 7.6 ± 2.4 (Run 0) and 7.1 ± 2.3 (Run 1). Axions and Neutrinos from Sun 1. Axion production in the sun: Atomic recombination and deexcitation (ARD), Bremsstrahlung, and Compton (ABC); Primakoff effect; M1 nuclear transition of 57Fe (14.4 keV). 2. Neutrinos may have abnormally large magnetic moment due to the Majorana nature or exotic new physics beyond the Standard Model. Detection in PandaX-4T: 1. axio-electric effect; 2. inverse Primakoff effect; 3. neutrino-electron scattering. XXXI International Conference on Neutrino Physics and Astrophysics June 16-22, 2024 Milan, Italy Data and Bestfit A background-only fit is applied to check the consistency of data and background model. 1. Region of interest: qS1 > 2PE, E < 30 keV and above the ER 99.5% quantile; 2. 1D binned likelihood fit is used based on HistFitter; 3. Systematics including error of detection efficiencies and light/charge yield are added to fit; 4. The data are consistent with the background-only hypothesis: 𝜒!/NDF = 32.0/24. Based on CLs+b technique, model-independent sensitivities with 90% confidence level (C.L.) of axion couplings (gAe,gAegAN,gAγ), and neutrino magnetic moment µν are derived. 182 preliminary preliminary Details can be found in https://doi.org/10.48550/arXiv.2403.04239 Acknowledgement: Thanks for the mentioned theoretical works and the photographer Shibo Zhang preliminary preliminary preliminary preliminary
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2. Collecting wild-type accessions of Marchantia (and Lunularia). David J. Hoey1,2., George Greiff1., Ed Harris1,2., Karima El Mahboubi3., Santiago Farias1., Philip Carella1,4., SLCU Outreach Consortium1., Pierre-Marc Delaux3., Sebastian Schornack1,2. 1.Sainsbury Laboratory, University of Cambridge, United Kingdom; 2.Department of Plant Sciences, University of Cambridge, United Kingdom; 3.Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, Centre National de la Recherche Scientifique, Université Paul Sabatier, INP Toulouse, France; 4.John Innes Centre, Norwich, United Kingdom. Natural variation in oomycete infection of Marchantia polymorpha 6. qPCR quantification of Phytophthora infection across accessions is in progress, with a goal of a linear assembly of this trait. 7. Future steps: genome wide association studies will reveal novel factors of resistance/susceptibility in this model pathosystem. 1. Introduction • Liverwort and angiosperm lineages diverged around 450 million years ago. • Infection of Marchantia polymorpha has been established as a model pathosystem for macroevolutionary studies in oomycetes, fungus, and bacteria. • Phytophthora palmivora is a hemi-biotrophic broad-host, and infects through air chambers and colonises the upper photosynthetic layer. • Most studies of Marchantia are on a small number of accessions, and the genomic resources which are available for other more established model organisms are not currently available. • Our aim is to establish these genetic resources, and our working hypothesis is that variation in the infection of natural accessions of Marchantia is caused by variable genetic elements. We have so far collected 92 accessions of Marchantia polymorpha: some through our citizen science project, and some by us and collaborators on field trips or holidays! Male and female accessions were determined by amplification of PCR markers. Summary & Conclusions: • Marchantia polymorpha and Phytophthora palmivora are a model pathosystem for macroevolutionary studies. • However, as a relatively new model system the genetic resources which are available for other systems are not yet established. • We are working to establish these resources for the community by collecting and sequencing accessions. • Most accessions display intermediate symptoms, though some are very resistant and some are very susceptible. • None of the accessions tested so far are completely resistant to the pathogen. • We plan to use the Marchantia-Phytophthora pathosystem as a quantitative trait for future genome-wide association studies. Initial proof-of-concept experiment. qPCR data showing 2 susceptible, 2 intermediate, and 2 resistant accessions collected at a single time point. N=4, each data point performed in triplicate. Each sample contains 3 individual plants. Statistical groupings from Tukey's HSD post-hoc analysis. In meta-analysis of separate infection experiments, we will use TAK1 (susceptible) and TAK2 (resistant) as baselines for pathogen biomass. Acknowledgements: Thanks to all of the Schornack group for useful discussions and contributions. Thank you to Elisa Mogollon-Perez for regular maintenance of these lines. Thank you to the SLCU Events team for their coordination of the outreach events. This project was funded by the Gatsby Foundation. The members of the SLCU Outreach Consortium who contributed to the Great British Liverwort Hunt project are as follows: David Hoey, Sebastian Schornack, Edwige Moyroud, Alan Wanke, Alessandra Bonfanti, Stefano Gatti, Lauren Gardiner, Martin Balcerowicz, Alexander Summers, Elisabeth Burmeister, Kathy Grube, Andreea Alexa, Nataliia Kuksa, Jemma Salmon, Bryony Yates, Lucie Riglet, Elena Salvi, Ian Burrow, David G. Hill, The Roberts Family, Peter & Theresa Rooney, Jennie Showers, Anthea Wilson, and 59 anonymous contributors from the British public. Email/crsID: djh248@cam.ac.uk Twitter: @DavidJHoey Infected Marchantia polymorpha (5dpi) 3. WT accessions of Mar
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Exploring the Interaction between Phytophthora palmivora and Oil Palm through Gene Co-expression Network Analysis Mariandrea García-Gaona1, David Botero-Rozo 1, Leonardo Araque1, Hernán Mauricio Romero 1,2 1Biology and Breeding Program, Colombian OiI Palm Research Center, Cenipalma. 2Biology Department, Universidad Nacional de Colombia Created with BioRender Poster Builder INTRODUCTION Phytophthora palmivora, the causal agent of Bud Rot (BR) in oil palm (Elaeis guineensis Jacq.), is responsible for significant crop losses in Colombia, affecting over 145,000 hectares in the last decade. Recent advancements have improved our understanding of P. palmivora's virulence mechanisms and host resistance. However, several unknown aspects remain, particularly concerning the oil palm host. In a transcriptomic study by Avila-Mendez et al. (2019), the interaction between P. palmivora and oil palm was investigated through a transcriptomic approach, with a focus on susceptible (Clon57) and resistant (Clon34) oil palm genotypes. Using RNAseq data from this study, we aimed to construct gene co-expression networks for both the pathogen and oil palm during compatible and incompatible interactions. Through this approach, we identified co- expressed gene hubs in P. palmivora that may play important roles during oil palm infection. Additionally, we observed signs of pathogen manipulation in susceptible oil palm materials, triggering an exaggerated response and compromising the phenylpropanoid pathway. In contrast, resistant oil palm materials demonstrated control over their response through putative Heat Shock Proteins (HSP), maintaining a balance between primary metabolism and biotic defense. Overall, this study provides insights into the molecular mechanisms underlying the interaction between oil palm and P. palmivora, which can contribute to the effective control of Bud Rot. METHODS RESULTS 1. P. palmivora gene networks exhibited distinct behaviors in response to Oil palm Clon34 and Clon57 P. palmivora-Clon34 grouped 251 differentially expressed genes of P. palmivora, and P. palmivora-Clon57 grouped 265 genes. The size of the nodes indicates their hub score, and the background colors correspond to modules or co-expressed groups. 3. Oil palm Clon34 and Clon57 exhibited different responses to P. palmivora GCN of Clon34 grouped 649 genes out of 1486 DEGs, with a correlation greater than 0.8 distributed in 27 modules, while GCN of Clon 57 grouped 1327 genes, distributed in 35 modules. 2. Biological Process GO terms enriched by P. palmivora in Clon57 Bar graph of P. palmivora . Graph shows the top 10 Biological process significantly enriched terms (p-value < 0.05) in interaction with oil palm. 4. Biological Process GO terms enriched by oil palm in response to P. palmivora. Bar graph of Oil Palm GO term enrichment analysis. Graph shows the top 20 Biological process significantly enriched terms (p-value < 0.05) in response to P. palmivora infection 5.Trends of gene expression for central genes during P. palmivora infection and oil palm defense Heatmap depicting gene expression patterns of central genes obtained form the GCNs.The color scale indicates relative expression levels, with red representing higher expression and blue representing lower expression. Row clustering was performed using correlation analysis. Row names correspond to gene annotations, and column names indicate the three time points (24, 72, and 120 hpi) for Clon34 and Clon57. CONCLUSIONS The co-expression networks of P. palmivora during successful infection in Clon57 showed that central or hubs were linked to genes associated with oxidative processes, NADH dehydrogenase, sulfur transporters, cytoplasmatic effectors, as well as elicitins and hydrolases. In the susceptible Clon57 genotype, there was enrichment and positive expression of genes related to abiotic stress, which can be attributed to the influence of P. palmivora during its infection process. The co-expression networks of th
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MÉTODO DATOS BRUTOS Y MATERIAL SUPLEMENTARIO EN PUBLICACIONES SOBRE CIENCIAS DE LA EDUCACIÓN RESULTADOS DISCUSIÓN/CONCLUSIONES REFERENCIAS Autores: Martínez-Córdoba, C., Alonso-Arroyo, A., Chiva-Sanchis, I., Aleixandre-Benavent, R. y Valderrama-Zurián, J.C. Universitat de València INTRODUCCIÓN Compartir datos aumenta la velocidad de la investigación y ahorra tiempo y recursos, además de garantizar la transparencia y la reproducibilidad. En las ciencias de la educación, la puesta en común y la reutilización son cruciales, ya que la educación es la base del progreso socioeconómico. OBJETIVOS Describir el estado del intercambio de datos en el área de ciencias de la educación. UNIDADES DE ANÁLISIS Se descargaron 513 registros con datos asociados en categorías temáticas educativas de Web of Science entre 2021-2022. VARIABLES E INSTRUMENTOS Tipo de datos asociados, de formatos utilizados para registrar dichos datos y repositorios depositados que contenían los artículos recuperados. Se usaron Access y Excel para el análisis de las mismas. PROCEDIMIENTO Se descargaron artículos indexados en categorías temáticas educativas de WoS entre 2021-2022 que contenían datos asociados y se analizaron las variables señaladas, así como su relación con la categoría temática y la calidad de las revistas. ANÁLISIS DE DATOS Los datos se importaron al software propio Bibliométricos para realizar las consultas y obtener los resultados y, posteriormente, se trasladaron a Excel para poder elaborar las gráficas y agrupar los datos de acuerdo a las variables de interés. WoS incluyó 78.859 registros, de los cuales 513 (0,7%) incluían datos complementarios: el 55,4% (284) era material suplementario y el 29,4% (151) eran datos asociados. Los repositorios más utilizados fueron Open Science Framework (23), Dataverse e IRIS (7). Los 513 trabajos se publicaron en 241 revistas, destacando Frontiers in Education (38) y Education Sciences (13). Existen hasta 18 tipos de formatos en los registros con material suplementario, predominando pdf (177 registros) y doc/docx (75) (figura 1). Hay hasta 39 tipos de formatos diferentes en los registros con ficheros de datos asociados (figura 2). Los porcentajes de artículos con datos asociados son bajos y predominan los formatos propietarios sobre los libres y reutilizables. La promoción de políticas de intercambio de datos en el área de ciencias de la educación es esencial y necesaria para investigadores/as, autoridades académicas, gestores de investigación y especialistas en información. • Logan JAR, Hart SA, Schatschneider, C. Data sharing in Education science. AERA Open, 7(1): Article Number: 23328584211006475. DOI: 10.1177/23328584211006475 • Makel MC; Hodges J; Cook BG; Plucker JA. Both questionable and open research practices bare prevalent in Education research. Educational Researcher, 50(8): 493-504. DOI10.3102/0013189X211006440 Project TED2021-131057B-I00 funded by: Figura 1. Formatos material suplementario Figura 2. Formatos datos asociados
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A novel in situ method for characterizing catheter-associated biofilm formation Elliott W. Welker, Tanner J. Barnharst, Bridget E. Eklund, and Nathan A. Fisher North Dakota State University, Department of Veterinary and Microbiological Sciences, Fargo, ND Isolate Information Isolate ATCC Source Acinetobacter baumannii 19606 Urine Acinetobacter baumannii BAA-­‐747 Ear Pus Acinetobacter species 49139 Clinical Isolate Enterobacter cloacae 35030 Quality Control Strain Enterobacter cloacae 13047 Spinal Fluid Enterobacter cloacae 23355 None Specified Klebsiella pneumoniae 33495 Human Urinary Tract Klebsiella pneumoniae 700603 Urine Klebsiella pneumoniae 35657 Qualty Control Strain Pseudomonas aeruginosa 19429 Urine Pseudomonas aeruginosa 35554 Qualty Control Strain Pseudomonas aeruginosa 27853 Blood Culture Stenotrophomonas maltophilia K279a Blood Stenotrophomonas maltophilia D457R Branchial aspirate Stenotrophomonas maltophilia 2004-­‐24-­‐121 PaNent Table 1 The isolates were obtained from the American Type Culture Collection (ATCC). Isolates were selected based on their ability to form varying strengths of biofilms. Methods A panel of gram negative nosocomial bacteria were streaked for isolation onto Luria Bertani (LB) agar plates. Broth cultures were created in tryptic soy broth (TSB). 24G x ¾“ intravenous catheters were submerged in overnight broth cultures for two hours to facilitate attachment. Catheters were implanted inside the abdomen of the Blaptica dubia cockroach and incubated for 24 hours at 37°C for the in situ assay . Catheters were incubated in TSB broth at 37°C for 24 hours for the in vitro assay. The catheters were then removed or extracted from their respective incubation locations then washed with a saline solution. The catheters were placed in a solution of crystal violet for 15 minutes, washed with saline, then solubilized in ethanol. Aliquots were transferred to microplate and read at 600 nm. Fig. 4 Site of catheter insertion Fig. 3 Teflon intravenous catheter components Our research goal is to compare biofilm growth of several nosocomial isolates on intravenous catheters using a Blaptica dubia cockroach as a host. This novel method will also be compared to biofilm growth on the catheter using an in vitro model. Crystal violet stain will be used as a method to quantitatively asses biofilm growth. We hypothesize that the physiology of biofilm formation varies in an in vivo environment compared to in vitro due to immunological pressures. Fig. 2 Representative MicroCT images of a i n t r a v e n o u s c a t h e t e r i m p l a n t e d i n t o t h e abdominal cavity of Blaptica d u b i a . I m a g e s w e r e captured using the GE v (tome) x 240 kV microfocus X-ray computer topography system at the NDSU electron microscopy center. Panel A and B show lateral and longitudinal sections respectively. Panel C shows a computer 3-D model. Together these images show that the implanted catheters (the arrow) are positioned directly beneath the roach epidermis and that internal organs are not punctured during the implantation process. Fig. 1 Representative SEM images of intravenous catheters colonized by Stenotrophomonas maltophilia in the roach in situ model. Images were captured using a JOEL JSM-7600F scanning electron microscope at the NDSU electron microscopy center. Panel A shows biofilm accumulation (arrowhead) on the internal and external walls of the catheter. Panels B and C show the structure of biofilms including bacterial cells embedded within the extracellular polymeric substance (EPS), complex columnar architecture (COL), and association with insect immune cells, termed hemocytes (HE). Results & Discussion Fig. 5 results of Stenotrophomonas maltophilia in vitro and in vivo catheter biofilm formation The Stenotrophomonas maltophilia strains (Fig. 5) form statistically different amounts of biofilm in the in vitro and in vivo environments and in one strain (Sm 2004-24-121), the in vivo growth was markedly increased.
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Temperature increases cause transposon-associated DNA damage specifically in spermatocytes Nicole A. Kurhanewicz, Devin Dinwiddie, Zachary D. Bush, and Diana E. Libuda University of Oregon, Institute of Molecular Biology, Department of Biology Sexually-reproducing organisms use meiosis to generate haploid gametes, such as sperm and eggs, to transmit their genome to the next generation. All tissues are susceptible to dramatic increases in temperature; however, developing sperm in the testes are unusually sensitive to small temperature fluctuations. Failure to thermoregulate spermatogenetic tissue and prolonged exposure to elevated temperatures are linked to male infertility. Further, temperature increases are known to cause DNA damage in spermatocytes, but the molecular mechanisms underlying this damage are unclear. Here we show that upon a brief heat-shock, the spermatocytes (but not oocytes) of Caenorhabditis elegans exhibit an increase in double strand DNA breaks (DSBs), that these temperature-induced DSBs occur via a SPO-11 independent pathway, and occur concurrent with impaired male fertility and temperature-induced transposon activity within the genome. Introduction Double strand DNA break (DSB) formation in Meiosis Figure 2. SPO-11 is a conserved endonuclease that induces double strand DNA breaks (DSBs) during meiosis. Soon after a DSB is formed, the recombinase RAD-51 binds to the 3’ DNA overhangs surrounding the DSB site. RAD-51 is required for DSB repair during meiosis and serves as a marker for meiotic DSB formation. A subset of DSBs are repaired as crossover recombination events, which are required to form the chiasma between homologous chromosomes necessary for proper chromosome segregation during the meiosis I division. Acute exposure to elevated temperature induces DSBs specifically in C. elegans spermatocytes Figure 3. (A) Immunofluorescence for the recombinase RAD-51 (green) and DNA/DAPI (blue) reveals that a two-hour 34°C heat shock causes a dramatic increase in RAD-51 foci (green) per nucleus (DNA in blue) specifically in wild type spermatocytes throughout the meiotic region of the male germ line. (B) Wild type oocytes do not exhibit any temperature-induced RAD-51 foci in any part of the meiotic prophase I. Temperature-induced DSBs progress with repair less than 3 hours after formation in spermatocytes Figure 7. The appearance and disappearance of a RAD-51 focus indicate the initiation and subsequent progression of a DSB through a repair pathway. Measurement of RAD-51 foci counts before heat shock and at 1-hour time points following heat shock reveal that most, if not all, of the temperature-induced DSBs have unloaded RAD-51 and progressed down a repair pathway by 3 hours following heat shock. Funding Sources Increase in Tc1 transposon expression and insertion sites correspond with temperature-induced DSBs Figure 9. Quantitative PCR for Tc1a and Tc3 transposase expression reveals that Tc1a transposase expression and not Tc3 transposase is increased significantly following heat shock. Expression levels were all normalized to act-1 expression levels. 1. Increased temperatures cause RAD-51 marked DNA damage specific to spermatocytes during meiotic prophase I. 2. Temperature-induced DNA damage forms SPO-11 independent double strand DNA breaks that have the capacity to repaired as crossover recombination events. 3. Temperature-induced DNA damage during meiotic prophase I correlates with reduced male fertility 4. Tc1 transposons excise and insert into the genome upon temperature increases in wild-type spermatocytes. Summary Tc1 transposon positions in the spermatocyte genome become altered following temperature increases Figure 10. Tc1 mobility was assessed globally and across individual chromosomes. (A) Inverse PCR paired with amplicon sequencing was used to identify Tc1 locations genome-wide. Representative plots for Chromosome II from adult males and hermaphrodite populations are shown. (B) To evaluate transposo
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Wind Prominence References [1] Jardine +, MNRAS, 482(3), 2019 [2] Ferreira, MNRAS 316(3), 2000 [3] Wood +, ApJ, 628(2), L143, 2005 The distribution of prominence mass around a star is dependent on the tilt of the dipole axis. Bistable stars The exceptions are the bistable (very low mass) stars which show lower than expected Ms. This is due to their weak and complex magnetic field structure, that are not able to support significant prominence mass. Typically, prominence mass loss rate increases with decreasing stellar mass. Predicting the mass loss rates of Mdwarfs Rose F.P. Waugh and Moira M. Jardine rw47@st-andrews.ac.uk Prominences can be used as ‘wind gauges’ to predict the wind M/A (mass loss rate per unit area) [1]. Prominence material is likely supplied in the same way as the wind - blowing up the field lines. . . University of St Andrews, Scotland 0. Introduction 1. Method 2. Results 2.2 Prominence mass loss rates with stellar mass 2.1 The prominence mass distribution around these stars 2.3 comparing prominence and wind mass loss rates Dipole axis is perpendicular to rotation axis Dipole axis is aligned with rotation axis * AD Leo has been shifted 1 degree right and GJ494 has been shifted 4 degrees left, as the distributions overlap. . . . .. Highly tilted dipoles support material at high latitudes More aligned dipole fields supports material at only low latitudes, but the distribution is much smoother. . . Top panel: Plotting prominence M/A against X-ray flux (Fx) as Wood 2005 [3] we find a line of best fit (blue dashed line): M/A Fx Use ZDI maps for a subset of Mdwarfs Construct coronal magnetic field assuming a potential field Find mechanical equilibria from force balance Check stability using Ferreira’s condition [2] Calculate mass loss rates, assuming all possible formation sites are filled 1.32 . . M* Visible prominence mass loss rates True prominence mass loss rates Comparing to literature wind values Stellar wind mass loss rates (M) can be difficult to measure for low mass stars due to their low densities. Considering the prominence mass that would be visible, it becomes apparent that the Ms would be underestimated, though the scatter remains. . . . 3. Conclusions Most prominence mass is not visible to us Our modelling has yielded a similar relation for M/A as a function of Fx for prominences as for stellar winds. 1 2 1 2 .. . Prominence 1 will cross the stellar disc (be visible), but 2 will not. Side on view: Head on view:
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Cut marks 373 NISP 7.2 %NISP Burnt bones 1110 21.6 Fracture marks 1621 31.6 Digestions 58 1.1 Non-anthropic 2 0.04 Cut marks 45 NISP 4.8 %NISP Burnt bones 463 51.3 Fracture marks 10 1.1 Digestions 2 0.2 Non-anthropic 0 0 YOUNG 10% SUBADULT 5% ADULT 85% SUBADULT ADULT 35% YOUNG 8% 57% INDET. 45.8% MIXED 3.5% DRY 25.9% FRESH 24.8% INDET. 27.4% MIXED 11.1% FRESH 61.5% Complete = 20.2% Fragmented = 79.8% Non-anthropic Complete = 47.6% Fragmented = 52.4% LEPORID EXPLOITATION BY IBERIAN MEDITERRANEAN GRAVETTIAN GROUPS INSIGHTS FROM COVA DE LES CENDRES (ALICANTE, SPAIN) Abel Martínez, Cristina Real, Valentín Villaverde Dept. Prehistoria, Arqueología e Historia Antigua, Universidad de Valencia COVA DE LES CENDRES GRAVETTIAN LEVELS LEVEL XVIA CONCLUSIONS FURTHER STEPS ... ANATOMY OBJECTIVES AGE-AT-DEATH FRACTURES MODIFICATIONS ANATOMY AGE-AT-DEATH NISP = 5150 MNI= 80 NISP = 903 MNI= 12 FRACTURES MODIFICATIONS LEVEL XVIB The Gravettian human occupation at Cova de les Cendres has been key to understand the consolidation of human settlement in the Iberian Mediterranean region. Gravettian human diet in the area is based on medium sized ungulates (mainly red deer or Iberian ibex), but also on large sized ungulates, carnivores and small prey. Nevertheless, small prey such as leporids were the most represented specie. General faunal data from level XVIA was published in Villaverde et al. (2019), and rabbit data from level XVIA was published in Pérez Ripoll (2005) and Sanchis et al. (2016). However, these papers are focused only on a sample. The analysis of the whole assemblage still in progress. Karstic cave located in Alicante (Spain) at 60 m.a.s.l. Excavated area: 22 m² STRATIGRAPHIC LEVELS: XVID, XVIC (Aurignacian); XV, XVIB, XVIA (Gravettian); XIV, XIII (Solutrean); XII, XI, IX (Magdalenian) Cendres and other Gravettian sites. The purchase of the two samples allows us to conclude that both have an anthropic origin, although some non-human marks of level XVIA. The transport is complete as would be expected from their size and as shown by the anatomical representation. However, there are also significant differences. In level XVIA, adults predominate, whereas in XVIB, sub-adults are the most represented. Furthermore, fresh fractures are much more numerous in XVIA. The percentage of burnt bones is higher in XVIB, while the number of cut and fracture marks is greater in XVIA. These differences may be attributed to variations in hunting (method, season) and consumption patterns, perhaps related to differences in the occupation system of the site. However, it should be noted that the sample from level XVIB is relatively smaller in size, and that the results require further verification through additional study. Proyect "La dieta de neandertales y sapiens. Evaluación experimental del procesado de los conejos y su calidad alimenticia (LEO23-2-9659)", supported by a 2023 Leonardo Grant for Researchers and Cultural Creators, BBVA Foundation. The BBVA Foundation accepts no responsibility for the opinions, statements and contents included in the project and/or the results thereof, which are entirely the responsibility of the authors. Pérez Ripoll, M. 2005. Caracterización de las fracturas antrópicas y sus tipologías en huesos de conejo procedentes de los niveles gravetienses de la Cova de les Cendres (Alicante), Munibe 57, 239-254. Sanchis, A. et al. 2016. El conejo en la subsistencia humana del Paleolítico superior inicial en la zona central del Mediterráneo ibérico, What bones tell us/ El que ens expliquen els ossos (L. Lloveras, C. Rissech, J. Nadal, J. M. Fullola, coords.), Barcelona, 145-156. Villaverde, V. et al. 2019. The early Upper Palaeolithic of Cova de les Cendres (Alicante, Spain), Quat. Int. 515, 92-124. - The study sample will be expanded in order to ascertain the representativeness of the results at each level. - A comparison will be made between these taphonomic results and the data from the experimentation on rabbit being carried ou
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AUTOMATIC SPRAY DESINFECTANT CHICKEN WITH ANDROID BASED ON ARDUINO UNO 1. Background The role of technology facilitates human work in solving every problem. 2. Chicken farms are found various problems both from the object and its management 3. To keep the chicken coop clean and sterile from disease 4. Automatic spray disinfecting chicken coop with Android based Arduino Uno. 2. Aim The aim of making the automatic control system spray disinfectant chicken coop with an Android-based Arduino Uno is to make it easier and give a sense of security to officers when spraying disinfecting chicken coops. Reference Bill, R. G. J., Ferron, R., Braga, A., Bill Jr., R. G., Ferron, R., Braga, A., Braga, A. (2000). Water mist (fine spray) fire protection in light hazard occupancies. Journal of Fire Protection Engineering, 10(3), 1 22. NA. (1997). LED Application Notes - LED Basics. Retrieved from Meng, W., & Jin, W. (2017). The optimal design of wheeled robot tracking system. In 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings (pp. 900 5. Conclusions From each stage that has been done in testing can be concluded. 1. By using hardware in the form of a microcontroller circuit (Arduino Uno) and Android application to control disinfecting spray automatically and can work at a maximum distance of 10 meters through Bluetooth communication. 2. Testing is done directly using the Bluetooth module HC-05 as a communication media for Android smartphones with Arduino Uno and a 12 VDC diaphragm pump, 80 psi as a disinfecting spray, while the spray drive motor using a DC 5V motor works with the program that has been created, so that can simplify and provide security to farmers when spraying disinfectants on chicken coops. 4. Testing Results The table. Automatic Testing Results for Disinfecting Spray Chicken Coop With Android Based on Arduino Uno No. Distance Motor rotates (Yes/No) LED Lamp (On/Off) Diaphragm pump spinning (Yes/No) Average Results Testing Right Left 1. 2 1 1 1 1 2. 4 1 1 1 1 3. 6 1 1 1 1 4. 8 1 1 1 1 5. 10 1 1 1 1 From the data table, the results of automated testing spray disinfectant chicken coops with Arduino UNO-based Android. The whole series of automatic spray disinfectant chicken coops with Arduino UNO-based Android can work correctly according to the program created 3. System Development The process of working on the system in processing data sent by smartphones and data received by Arduino uno microcontrollers via Bluetooth. a) Android smartphone gives commands to HC-05 sending data to Arduino Uno. b) Arduino receives and processes data received from HC-05 to run the disinfecting spray automation system that has been programmed in the arduino sketch. c) Arduino sends a low signal to the low trigger relay module. d) The low trigger relay module receives a command to run the pump motor disinfectant. e) The pump motor is disinfected and works according to the time specified in the programming. f) Arduino microcontroller gives a signal / command to the L298N motor drive as a rotary DC motor drive g) DC motor rotate right / left alternately.
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Design details for an apron slab and drainage For further information visit: http://wedc-knowledge.lboro.ac.uk/ A A Connecting rod 480-500 Spout aligned to apron centerline Circular shaped apron slab Flat stone set into apron to prevent erosion India MkII handpump Borehole casing pipe Slab foundation 2% slope 2% slope Apron diameter 1700 (min) 2% slope 2% slope Excavated earth heaped to protect soakpit from surface water 150 All dimensions shown in millimeters 1000 150 Spout aligned to apron centerline Operators platform Radius Soakpit Soakpit filled with large stones with smaller stones on top (An alternative is a pit lined with bricks and covered with a concrete slab) Drain at least 6000 in length with good slope (2% min) and stone foundation with surface plaster of cement mortar 2% slope 150 150 150 100 100 2000 150 Drainage channel 6000 (min) 250 250 250 2000 400 1000 400 250 Section on A-A © WEDC Developing knowledge and capacity in water and sanitation Poster 58
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First results of the virome of Scaphoideus titanus, Frankliniella occidentalis and Thrips tabaci Abbà, Simona1; Chiapello, Marco1; Ottati, Sara1; Galetto, Luciana1; Tavella, Luciana2; Turina, Massimo1; Marzachì, Cristina1 1Institute for Sustainable Plant Protection of the National Research Council of Italy, IPSP-CNR, Turin, Italy 2Dipartimento di Scienze Agrarie, Forestali ed Alimentari DISAFA, Università degli Studi di Torino, Grugliasco, Italy Corresponding author: simona.abba@ipsp.cnr.it IT FR CH HU 2 3 2 1 3 1 2 2 Gland Saint−Nexans Corgoloin Gomba Asti Verona Togliano Vacri Iflaviridae Parvoviridae unclassified USA 6 1 0 0 % 33% 17% 33% 17% Muncie (IL) Virus families Peribunyaviridae Nodaviridae unclassified Reoviridae Number of different virus species Virus families Number of different virus species Native to North America, it was introduced by accident to Europe 8 sampling sites on 5 plant species: pepper, strawberry, watermelon, tomato, Dimorphoteca 4 sampling sites on 2 plant species: leek, onion Viroplant has received funding from the European Union’s Horizon H2020 Research and Innovation Programme. Grant Agreement N. 773567 69% 31% 25% 6% Sampled insects: 32 Gland (CH) 44% 56% 8% 8% 40% Sampled insects: 18 Saint−Nexans (FR) 20% 80% 49% 31% Sampled insects: 20 Corgoloin (FR) 42% 58% 58% Sampled insects: 38 Gomba (CH) 61% 39% 15% 5% 19% Sampled insects: 36 Asti (IT) 67% 33% 33% Sampled insects: 12 Verona (IT) 78% 22% 13% 9% Sampled insects: 46 Togliano (IT) 50% 50% 33% 17% Sampled insects: 12 Vacri (IT) Muncie(Illinois) Sampled insects: 3 % insects with viruses % insects with no viruses % insects with viruses Virus prevalence Sampling sites and viral species Sampling sites and viral species Scaphoideus titanus virome Thrips tabaci (OT) and Frankliniella occidentalis (WFT) viromes Flaviviridae Iflaviridae Lispiviridae Mesoniviridae Parvoviridae Peribunyaviridae Reoviridae Rhabdoviridae unclassified Number of different virus species A drastic reduction in the use of chemicals and pesticides in agriculture requires new sustainable biocontrol strategies to restrain pathogen multiplication and virulence in plants. VIROPLANT is a EU-funded research project whose primary objective is to propose viruses as potential biocontrol agents of some specific plant diseases spread in Europe. RNAseq was applied to characterize the virosphere of Scaphoideus titanus (Fam. Cicalinae), vector of Flavescence dorée phytoplasma in Europe, Frankliniella occidentalis (Fam. Thripidae) and Thrips tabaci (Fam. Thripidae), vectors of Tomato spotted wilt virus and Onion yellow spot virus, respectively. The identified viral species were all confirmed by RT-PCR. All insects were collected on Vitis Vinifera. The three viral species identified in Europe are similar to: Psammotettix alienus iflavirus 1 (41.6% identity), Spissistilus festinus virus 1 (54.0% identity) and Diatraea saccharalis densovirus (35.1% identity). Virus families Insects were collected on different plant species, which are represented alongside the sampling sites OT WFT Work Package 4 tasks are: i) analyse viromes of exemplary agronomical insect vectors and pests; ii) test the pathogenic potential of some newly found viruses. IT
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Isabel Rebollido1, Marshall Perrin1, Christine Chen1, Chris Stark2, Paul Kalas3, Laurent Pueyo1, Julien Girard1 1Space Telescope Science Institute, Baltimore, MD, USA, 2NASA Goddard Space Flight Center, Greenbelt, MD, USA 3Astronomy Department, University of California, Berkeley, CA, USA irebollido@stsci.edu Why β Pic? The star, β Pic, (A6V with an estimated age ~20 Myr) is nearby (~19 pc) and bright (V=3.8 mag). High angular resolution scattered light and thermal emission images have revealed a spectacular edge-on disk including a main belt (diameter ~1800 au) and an inner belt (6.4 au) . β Pic also hosts two Jovian-mass planets, β Pic b and β Pic c, with semi-major axes of 9 and 2.8 au respectively. Finally, we have had evidence of dynamical activity in the system for over 30 years, when exocomets were first discovered around β Pic. Observations with HST What do we see in the data? Takeaway message! During the past 25 years, HST has visited beta Pic repeatedly to image its archetypal disk in scattered light. These observations span visible (STIS, ACS) to near-infrared light (NICMOS, WFC3). We present here unpublished WFC3 F160W observations for the first time and an improved reduction of F110W. Although many of the individual observations have been analyzed in detail, the complete set of scattered light images has never been studied self- consistently. We plan to analyze these observations in conjunction with high angular resolution thermal emission images and planned JWST Cycle 1 GTO observations (PID 1411), to study the dust spatial distribution, shape and composition in detail. • Both the SW (a) and the NE (b) sides of the disk have a blue color at distances great than 50 au. • The Disk Flux/Stellar Flux (c) and the Disk Flux/Stellar Flux time the stellar offset squared (d) indicate the presence of a density enhancement at ~100 au. • The disk is asymmetric (e) with the SW side being brighter than the NE. The disk appears more asymmetric at longer wavelengths (~100) au and more asymmetric at shorter wavelengths (~85 au). • We have analyzed HST β Pic images from 3 different instruments: ACS, STIS and WFC3. • We find a density enhancement in the disk at 50-100 au (d). • We find that the asymmetry of the disk (e) is more pronounced and further from the star in the WFC3 data when compared to ACS and STIS. • We plan to self-consistently analyze the scattered light and thermal emission from the β Pic disk to better constrain the overall disk geometry and the properties of the constituent grains (e.g. size, composition). JWST Cycle 1 science observations coming soon, so stay tuned! Images of β Pic observations used in this analysis. Title indicates the instrument and filter (ACS, WFC), or instrument and observation program (STIS). The central wavelength of the filters is shown in the upper right, and the date in the upper left. Images are scaled to show comparable fields of view. a b c d e I have another poster! We detected CO gas in a young debris disk @102.201 IMAGES OF THE β PIC DISK WITH HST RADIAL PROFILES OF THE DISK Some References: Larwood & Kalas, 2001; Okamoto 2004;Lagrange+2008; Apai+2015; Ballering+2016; Lagrange+2019 01-Oct-2003 01-Oct-2003 01-Oct-2003 17-Sep-1997 06-Mar-2012 23-Sep-2013 21-Nov-2009 21-Nov-2009 We are for the first time gathering all Hubble coronagraphy of the famous β Pic debris disk for a joint analysis of the disk as seen in multiple wavelengths and over time
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Institute of Environmental Physics Im Neuenheimer Feld 229, D-69120 Heidelberg www.iup.uni-heidelberg.de Heidelberg Collaboratory for Image Processing Speyerer Straße 4, D-69115 Heidelberg hci.iwr.uni-heidelberg.de [1] Cox, C. and Munk, W. (1954). Measurements of the Roughness of the Sea Surface from Photographs of the Sun‘s Glitter, J. Opt. Soc. Am. 44(11), pp. 838-850. [2] Kiefhaber, D. (2011). Improved optical instrument for the measurement of water wave statistics in the field, In Komori et al. (eds.): Gas Transfer at Water Surfaces, Kyoto Univ. Press, pp. 358-367 [3] Kiefhaber, D. (2014). Optical measurement of short wind waves – from the laboratory to the field, Dissertation, Universität Heidelberg, Germany [4] Caulliez, G. (2011). Unpublished data from laser slope gauge measurements in the large Marseille Pytheas wind-wave facility, kindly provided by personal communication References:Correspondingauthor: Daniel Kiefhaberdaniel.kiefhaber@iup.uni-heidelberg.deWind wave statistics from specular reflectionsWind wave statistics from specular reflections D. Kiefhaber1), C.J. Zappa2), and B. Jähne1) 1) Institute of Environmental Physics and Heidelberg Collaboratory for Image Processing, Univ. Heidelberg, Germany 2) Lamont-Doherty Earth Observatory, Columbia University, Palisades, NYReflection-based wave measurementsSlope measurementcameras(stereo)FOV:4.2°x3.4°cameraFOV:20°x15°LEDlightsources •brightness of individual reflections is linked to small scale surface curvature •Curvature is very sensitive to changes in environmental conditions •Left: Ship is entering area with surface slick at t = 150 s, curvature decreases, reflection brightness increases •Below: Reflection brightness also has a strong dependence on wind speedCurvature measurement clean rough surface slick smooth surfaceStereo image pair with reflections of the instrument‘s light sources (see right)Heightstereo disparitySlopereflection distributionCurvaturereflection brightnessConclusion and Outlook •New reflection-based instrument capable of measuring slope probability distribution and slick sensitive curvature parameters •Easy to deploy and operate •Robust measurements, day and night •Provides important information on wave field in air-sea interaction experiments •Slope measurement: Like Cox & Munk (CM) sun glitter measurements [1], but with artificial light source! •Area of water surface is illuminated, but reflections are only visible when surface normal points to camera/light source •Surface slope at points of reflection can be computed from position in image uand focal length of lens f: tan α= u/f •Average distribution of reflections = slopeprobabilitydensityfunction! [2]Mean square slope in the field •Fit Gram-Charliermodel to data; similar to CM (left) extract mean square slope σ² •Lab comparison to laser slope gauge [4]: works fine at lower wind speeds •high wind speeds and very limited fetch: Gram-Charliermodel not adequate, leading to an overestimation of mss OSM 2012 / [3]Reflection brightness decreases strongly with wind speed, large variability due to surfactants.Data from Meteor M91, SOLAS-Peru cruise to the upwelling regions off the Peruvian coast. Example reflection images, grayscale inverted for visibility Mean square slope measurements from Peru experiment. Large variability of conditions due to changing presence of surfactants. Data points mostly lie between the CM parameterizations for clean water (solid) and slick (dashed).PDF? •4 week experiment off the coast of Peru •Ship motion correction applied to wave data •Moderate wind speeds, changing presence of surfactants •Changes in surface roughness possible on small spatial scales, < 100 m •Surfactants will likely have big impact on air-sea gas exchange ratesGram-Charliermodel not adequate for high wind speed, very limited fetchvery good agreement for lower wind speedsMeasured 2D slope probability distributionCrosswind profile of 2D slope pdf (along white line)Laboratory validationPDF measu
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Objectives The “Pilot Line for Micro-Transfer-Printing of Functional Components on Wafer Level” project (MICROPRINCE) is focused on creation of a pilot line for micro-transfer-print­ ing (µTP) of functional components like processed III/V devices, optical filters, and special sensors. Several EU and national research activities demonstrated successfully the feasibility of µTP technology in a scientific and laboratory environment. The MI­ CROPRINCE consortia has the goal to set up the first worldwide open access foundry pilot for heterogeneous integration by µTP and to demonstrate its capability on five defined target application scenarios: ƒƒ µTP for special magnetic sensors, ƒƒ µTP of optical filters on photosensitive sensors, ƒƒ µTP for LED devices and, ƒƒ µTP for photonic-based life science applications. Relevance and Impact The consortia consisting of 12 industrial and scientific partners from four different countries combine their expertise along the value chain from materials and equipment, technology and semiconductor processing, integrated circuit and system design, test and application to create a new industrial smart system manufacturing capability in Europe. MICROPRINCE is an excellent project to bridge the gap between research activities and industrial exploitation for innovative smart system integration for future key applications and markets in different sectors. This contributes significantly to the continued development of a strong and competitive electronic component and systems (ECS) industry in the European Union. MICROPRINCE will improve the competitiveness of industrial small, medium and large enterprises and strengthen the position of research institutes. This will influence the long- and medium-term position in key markets leading to economic and employment growth in the European Union. The MICROPRINCE pilot line is acting as a regional and nationwide competence cluster for a novel technology with European dimensions for heterogeneous system integration and supports the ECS industry to reach leadership in key technologies. Project Coordinator Sebastian Wicht Institution X-FAB MEMS FOUNDRY GMBH Email sebastian.wicht@xfab.com Website www.microprince.eu Start Duration 1-4-2017 36 months Total investment €M 14.5 Participating organisations 12 Number of countries 4 Technical Innovation The working principle of the micro-transfer-printing technology is to use a micro- structured elastomer stamp to transfer microscale functional components from their native substrates (e.g. III/V materials) onto non-native substrates (e.g. silicon wafers). The lateral dimensions of the functional components can range from a few microns to a few hundreds of microns with thicknesses of only a few microns. A post- processing is required to electrically connect the printed components with the silicon wafer underneath. This Micro-Transfer-Printing technology enables cost-effective combination of various materials by a massive parallelization reducing the processing time and production costs. Chiplet test designs (100 x 100 um) and confocal microscopy image of release-etched chiplets. Precise device transfer: from dense to dispersed arrays Printed optical filter on top of a silicon photodiode. Printed LED with gold pads on source wafer for wire bonding. MICROPRINCE Micro-Transfer-Printing of Functional Components on Wafer Level Germany X-FAB MEMS FOUNDRY GMBH X-FAB SEMICONDUCTOR FOUNDRIES AG MELEXIS GMBH OPTICS BALZERS JENA GMBH FRAUNHOFER-GESELLSCHAFT ZUR FÖRDERUNG DER ANGEWANDTEN FORSCHUNG E.V. DRESDEN UNIVERSITY OF TECHNOLOGY Switzerland MELEXIS TECHNOLOGIES SA Belgium MELEXIS TECHNOLOGIES MELEXIS NV IMEC Ireland X-CELEPRINT LTD. UCC-TYNDALL
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Schools: The postdoc on a genomic research project wants to involve local schools in their research project by holding a tournament for the best solution to one of the project’s research questions. They will have to organise the competition themselves, using time allocated to the research project. They feel it will promote the project in the community and make school children more interested in science. 1. What challenges will this postdoc face to make this a reality? 2. What other benefits could this activity have? 3. Do you think these kind of activities area good use of researchers’ time? Data: Jane has done several experiments which have had negative results and do not help progress her overall project further. However, she feels the results, protocol, and data are still interesting. She does not want to just shelve the work but she is not sure what to do with it. A friend says she should keep it private in case she can use it for publications later. 1. Do you think the friend is right? 2. Is there another solution that is more ‘open’? What else could be done with the data? 3. Would you like to see more negative results published? Why/why not? 4. Would you like to have access to other researchers’ protocols and data? Publishing: John has been trying to publish some exciting results from his work. However, one journal has rejected the paper and another has not gotten back to him. He hears that another lab is also preparing to publish findings in a similar area. Another researcher suggests that he publish the paper as a preprint so that it would be out first, but his PI is a bit unsure if this is a good idea. 1. Do you think he should use preprints? 2. What are the advantages or disadvantages of this approach? 3. Have you ever used preprints? What do you think about them?
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A multi-robot platform to study the collective adaptive mechanisms in mixed societies F. Bonnet1, A. Gribovskiy1, L. Cazenille2, Y. Chemtob2, J. Halloy2 and F. Mondada1 1 Laboratory of Robotic Systems, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland 2 Laboratory of Tomorrows Energies, Université Paris Diderot, Paris, France Introduction This work was supported by the EU-ICT project ASSISIbf, No. 601074. AMAM2017 Framework Adaptation Multi-level control Future work Social animals are one of the most fascinating example of collective adaptive systems, for which complex collective behaviors can arise from social interaction that leads to self-organization of the group. In the past few years, we designed a system to investigate the fish collective behaviors, by having robotic agents inserted among the fish societies. • Different levels of controllers have been implemented in order to automatically control the robots so that they can reproduce the fish collective behavior, and also adapt to it. • A software running in a computer retrieves the position of the agents in real-time using visual tracking • Models of zebrafish shoaling based on the vision of zebrafish are implemented to generate fish-like trajectories for the mobile robots. • Control commands are then sent to the robots so that they reach these trajectories, using specific low-level controllers that mimic the locomotion of the fish. • Thanks to the framework set in place, the study of collective adaptive behavior can be investigated with a mixed group composed of several robots and animals. • Evolutionary algorithms and optimization methods can be used to produce appropriate decentralized controllers for the robotic agents, that adapt in real-time in experiments with mixed groups of animal and robots • This allows the robots to better adapt to the animals and better integrate fish shoals. The system designed allows the collective adaptation of behaviors for two different societies, an artificial one composed of robotic agents, and a group of animals. Thanks to the adaptive mechanisms, some parameters of the robots’ controllers can be automatically adapt according to the animals, which offers perspectives for learning more on the adaptive mechanisms in social animals. • Wheeled mobile robots are moving underneath a tank and steer fish-lures inside the tank using magnets • The lures are equipped with an actuated tail that can beat with different amplitudes and frequencies, so that they can send signals that are relevant for zebrafish social behaviors • The robots are controlled in a closed-loop using visual tracking, that retrieves the individual positions of the robots as well as the positions of the fish in real-time. • The wheeled mobile robots are continuously powered so that we can study the adaptive mechanisms of the agents during long duration experiments.
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Martin Šefl1 ,2, Václav Štěpán3,2, Kateřina Pachnerová Brabcová4,2, Iva Ambrožová2, Ondřej Ploc2, Mathieu Karamitros3, Sébastien Incerti3, Marie Davídková1 ,2 1 Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic. 2 Department of Radiation Dosimetry, Nuclear Physics Institute of the ASCR, Prague, Czech Republic. 3 Université Bordeaux, CNRS/IN2P3, Centre d’Etudes Nucléaires de Bordeaux Gradignan, CENBG, Gradignan, France. 4 Department of Applied Physics, Chalmers University of Technology, Göteborg, Sweden. Calculation of solid-state track-etched detectors response in 290 MeV/u and 400 MeV/u C-1 2 ion beams using Geant4 Abstract Solid-state track-etched detectors (TED) can be applied as linear energy transfer (LET) spectrometers of charged particles. Monte Carlo simulations are helpful to identify particle types in the LET spectra and estimate their importance outside the detection range of TEDs. We have applied the Geant4 Monte Carlo simulation toolkit version 9.6p01 [1 ,2] to reproduce the beamline geometry [3] and experimental setup used for the measurements of LET spectra of 290 MeV/u and 400 MeV/u carbon ion beams at Heavy Ion Medical Accelerator in Chiba, Japan. The spectra were measured with track-etched detector TD1 (Japan Fukuvi Chemical Industry Co. Ltd), which is under our evaluation conditions sensitive to charged particles of LET between 9.46 and 500 keV/µm. The dose and LET spectra of the beam attenuated by several thicknesses of PMMA filters were calculated in water and compared with the experimental data. Calculations and measurements [4, 5] were in a good agreement within the sensitivity range of the detectors. Track etched detectors Heavily ionizing particles cause damage in the track etched detector (TED) material―a latent track. The latent track can be developed by etching in NaOH (70°C). The etched tracks are visible under an optical microscope (Figure 1 ). TED can work as spectrometers of LET. TED were exposed with C-1 2 beam 290 and 400 MeV/u in HIMAC-BIO room in Japan. TEDs do not detect particles with LET below the certain threshold (9.46 keV/µm for the TD1 by Japan Fukuvi Chemical Industry Co. Ltd). Methods The geometry description of the HIMAC-BIO beamline and the experimental set-up was based on on-site measurements. The upper view of the geometry can be seen in the Figures 2a, b, c. The beam was attenuated with the given combination of the Binary PMMA filters. The particles were scored inside a 0.1 mm thick layer. TED were calibrated to unrestricted LET in water, hence water was assigned to the detector volume TD1 . The LET of each particle was calculated as the fraction of the total energy loss and the total track length in the scoring volume. Electrons are not included in the LET spectra, since TED do not detect electrons. We used Geant4 version 9.6p01 , physics list FTF_BIC 2.0 and production threshold was set to 5 µm. Results The spectra of unrestricted LET in water behind PMMA shielding of various thickness were calculated using 2x1 05 primary C-1 2 ions and depth dose distributions in water phantom were calculated with 1 05 primary particles. Acknowledgements The work was supported by the Ministry of Education, Youth and Sports of the Czech Republic project n. LG1 3031 . The access to computing and storage facilities owned by parties and projects contributing to the National Grid Infrastructure MetaCentrum, provided under the programme “Projects of Large Infrastructure for Research, Development, and Innovations” (LM201 0005) is highly appreciated. Thanks belongs to the Czech Technical University and Nuclear Physics Institute of the Academy of Sciences of the Czech Republic for funding the attendance at this workshop. We thank to HIMAC staff for data from the reference measurements. References [1 ] J. Allison et al. IEEE Transactions on Nuclear Science, 53 (2006) 270–278. [2] S. Agostinelli et al. Nuclear Instruments and Methods in P
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Motivation Inconsistent Flux in Different Sectors Conclusion TESS CROWDSAP Errors from White Dwarf Observations Pipeline vs Estimated CROWDSAP The graph compares pipeline CROWDSAP values to our estimates for white dwarf stars. We obtain our CROWDSAP estimates by recalibrating the light curves to achieve average fluxes that match the estimated TESS magnitudes from the TESS Input Catalog (TIC) [3]. Since white dwarfs should be constant in brightness on average, the estimates based on the TIC for these stars should be reliable (perhaps not for any contaminant stars). Nikoo Hosseininezhad1; Keaton J. Bell1; Swan Yi Htet1; Isabel L. Colman2 1 Queens College and the Graduate Center, City University of New York, New York, NY 2 American Museum of Natural History, New York, NY CROWDSAP is a metric within the TESS analysis pipeline, the fraction of light in the aperture estimated to come from the targeted star. This study specifically targets the TESS light curves of White Dwarfs observed across various sectors, with the goal of evaluating the uncertainties associated with CROWDSAP values. White dwarfs, characterized by their stable luminosity [1], theoretically should display uniform flux readings across observational sectors. TESS observations of WDs offer a unique opportunity to assess CROWDSAP errors. CROWDSAP inaccuracies will cause systematic errors in critical measurements such as transit depth and signal amplitude. The graph shows the flux measured by TESS in different sectors for WD 1856+534 (TIC 267574918, average CROWDSAP = 0.038) that was first discovered by [2] to have a giant plant transiting it. The average flux measured for this white dwarf is inconsistent in different sectors. The actual flux should be constant, so these differences represent errors in calibration of the TESS light curves. [1] Hermes, J.J., Gänsicke, B.T., Gentile Fusillo, N.P., et al. 2017, MNRAS, 468, 1946 [2] Vanderburg, A., Rappaport, S. A., Xu, S., et al. 2020, Nature, 585, 363 [3] Stassun, K.G., Oelkers, R.J., Paegert, M., et al. 2019, AJ, 158, 138 The differences between the pipeline and estimated CROWDSAP values give a sense of uncertainty of light curve calibrations. This is part of an ongoing effort to characterize sources on uncertainty in TESS data which includes modeling the distribution of flux from different sources in the TESS pixel data.
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Introduction Web Portal Digital Public Archaeology References The ArchaeoTrail App Opening a window into the past Luise Loges1, Stephanie Döpper2, Matthias Ludwig3, Deng-Xin Ken Oehler3, Iwan Gurjanow3 1 University of Glasgow, School of Humanities, Department of Archaeology 2 Goethe University Frankfurt, Institute for Archaeological Sciences 3 Goethe University Frankfurt, Institute for Mathematics and Computer Science Education www.archaeotrail.org @ArchaeoTrail Archaeological sites offer valuable insights into the past. Wi- thout good presentation, however, it is difficult to communicate this knowledge to the general public. The newly developed ArchaeoTrail App does just this and offers the opportunity for visitors to discover the archaeologi- cal sites on their own. This is realized by a two-folded system consisting of a web portal and the ArchaeoTrail app for smartphones. The web portal (www.archaeotrail.org) provides archaeolo- gists and other people responsible for archaeological sites with the technical toolkit to create"trails", i.e., informative tours of their site for visitors. For each trail, several stations at the archaeological site can be generated and filled with infor- mational texts, images as well as short audio and video files and different types of quizzes, especially targeted at younger visitors. Each station is geo-referenced simply by clicking on the correct position at the map. In a second step, these sta- tions are joined in a trail and a suggested path can be crea- ted. Translations of the trail in various languages can be added. To make the trail publicly available, it has to undergo a review process by a designated reviewer board. This is to assure that only trails containing relevant archaeological in- formation are uploaded and that they do not violate a general code of conduct. Select a trail Check what trails are available in your region of interest Follow the trail using GPS Get information for each station The goals of the ArchaeoTrail project are diverse and rely on different levels of engagement of members of the public. On the one hand, it is a classical outreach project, disseminating information to a larger audience, i.e. visitors of the archaeological sites featured in the app, by means of a largely one-way communication (Bollwerk 2015). This nevertheless, contributes to a general awareness of the economic, social and political importance of cultural heritage and thus generates an interest and motivation for its protection (Smith 2006). On the other hand, it has a participatory aspect when the public is involved in creating the trails, e.g., through public discussions with different stakeholders to encourage dialogue and implement their say on the content of the trails. Additionally, online feedback forms at the end of some trails help to further ensure that the interpretative content of the trails draws from multiple perspectives instead of relying on a single authoritative explanation (Bollwerk 2015: 228). Regarding the web portal, the ArchaeoTrail project provides a collaborative form of Digital Public Archaeology in a way that was labelled by Bonacchi (2017: 69) as “hosted participation”. An institution (here: the ArchaeoTrail project) provides space, expertise and infra- structure to facilitate a project undertaken by members of the public, i.e., the creation of a trail. As this involves volunteer work for setting up a trail, the question for the benefits of the volunteers involved is pressing (Walker 2014: 87). At best, such projects allow participants to develop their own skills, encourage self-realization and creativity, stimulate reflection, create a sense of be- longing and community cohesion, offer participants the opportunity to have an impact on archaeological research and make a meaningful contribution to the common good, and generally enrich their lives (Merriman 2004: 7, Owens 2013). It must be added, however, that it is expected that most contributors to trails will be t
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Calculate properties of molecules using computers Goal: predict how molecules react • Where are the electrons in a molecule? • How much energy is needed to break bonds? • How do molecules move? • How do molecules interact with light? CyberTraining: Implementation: Medium: ChemCompute: Computational Chemistry for Undergraduate Education and Research NSF Award #2417553 Kristina Closser, Mark Perri Department of Chemistry and Biochemistry, California State University Fresno; Department of Chemistry, Sonoma State University NSF Cybertraining Award #2417553 NSF ACCESS Allocation TG-CDA170003 SSU RSCAP (2011 Equipment and 2018 Summer) SSU SST Faculty Development Funds Educational Experience Enhancement Award Science & Technology Innovation and Strategic Priorities Science Gateway Community Institute Koret Foundation Abstract Acknowledgements References ChemCompute (chemcompute.org) offers free cloud-based computational resources to undergraduate chemistry students allowing computational experiments in quantum mechanics and molecular dynamics, and offers Jupyter Notebook-based data analysis. Since 2014 over 650,000 computational chemistry jobs have been performed using NSF-provided supercomputer resources through ChemCompute. This work improves website accessibility, expands capabilities for research, develops new curriculum, and creates a faculty community. Course-based undergraduate research experiences are developed where undergraduate students conduct novel research on computational chemistry projects or projects combining experiment and theory. Data is collected assessing student engagement and confidence in using computers to solve chemical problems. Faculty workshops will contribute to the development of new teaching materials and the creation of a user community. Dissemination of website capabilities through workshops and partner organizations, focusing on minority serving institutions, exposes more students to computational chemistry research. Through this project, students develop computational skills valued in graduate studies and in the workforce. Supercomputer Resources Train Faculty to use ChemCompute Web Interface to Free Software Provides Accessibility to Undergraduates • Free • Run from any computer • No installation required • Quantum chemistry (GAMESS and Psi4) • Molecular Mechanics (Tinker, NAMD, OpenMM) • Jupyter simulations and notebooks Barriers to Computational Chemistry 1. High price of computational chemistry packages 2. Hardware to run computations 3. Expertise to setup and maintain hardware and software Spartan ($1,200 ea) GAMESS (Free) 2024 - 2025 Allocation Expanse (San Diego) 165,000 CPU-hours Bridges2 (Pittsburgh) 165,000 CPU-hours Jetstream2 (Indiana) 550,000 CPU-hours ACCESS = Advanced Cyberinfrastructure Coordination Ecosystem: Services and Support NSF funded collection of super computers located around the country Improve Accessibility and Site Capabilities 1. Schmidt, M. W. et. al General atomic and molecular electronic structure system. J. Comput. Chem. 1993. 2. Ponder, J.; Richards, F., TINKER molecular modeling package. J. Comput. Chem 1987. 3. Perri, M. J.; Weber, S. H., Web-Based Job Submission Interface for the GAMESS Computational Chemistry Program. J. Chem. Educ. 2014. 4. Towns, J. et al. XSEDE: accelerating scientific discovery. Computing in Science & Engineering 2014. 5. Perri, M. J.; Akinmurele, M.; Haynie, M., Chem Compute Science Gateway: An Online Computational Chemistry Tool. Using Computational Methods to Teach Chemical Principles. ACS Symposium Series 2019. ChemCompute Usage Create Resources for Education and Research 39,500 users in 2023-2024 • Ensure compliance with WCAG AA guidelines • Expand research capabilities (file organization, job customization) Develop course-based undergraduate research (CURE) materials • Train students to in computational chemistry • Stand-alone computational course and blended experimental/computational course • Distribute materials through site to o
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Modelling stellar transition regions of F-G stars with advanced ionisation equilibrium Evangelia Deliporanidou and Dr. Giulio Del Zanna Department of Applied Mathematics and Theoretical Physics, University of Cambridge Abstract We employed advanced ionisation equilibrium models developed by Dufresne et al. [5], which include charge transfer and density effects to study stellar irradiances in the EUV and UV for a sample of stars. Our sample includes ε Eridani (K2 V), α Centauri A (G2 V), Procyon (F5 V), and Proxima Centauri (M5.5 Ve). We remeasured the line fluxes from STIS datasets and used O IV and O V as a density diagnostic to measure the formation pressure of ions in the transition region (TR). Our findings indicate significant improvements in modelling anomalous ions, such as Si IV, C IV and N V, from Li- and Na- like sequences, which produce the strongest lines in UV. We obtained first-time reliable estimates of some stellar chemical abundances in the TR, using a Differential Emission Measure (DEM) modelling. We also obtained significant improvements in the calculated-to-observed flux ratios. These results are compared with available photospheric abundances, demonstrating the effectiveness of our approach to look for evidence of the First Ionisation Potential (FIP) effect, in the TR of our stellar sample. Finally, we compared our results with an analysis of solar TR irradiances in the EUV. New Ion Balances We call ”anomalous” the ions of the Li- and Na-like sequences, as they are under-predicted by sig- nificant factors compared to other ions, forming at similar temperatures and densities, assuming zero density ionisation equilibrium, the standard in Astrophysics. This problem was observed on the Sun and Del Zanna et al. [2] combined EUV and UV observational data and showed for the first time that the anomalous ions are also under-predicted in stellar atmospheres. Sim and Jordan [10] developed an approximate method for ϵ Eridani, which is a K2 V dwarf star, to resolve the main discrepancies by including density and charge transfer effects. In Dufresne et al. [5], we developed advanced ionisation equilibrium models that include these effects and found significant improvements for a solar plage ob- servation in the UV. The main difference between the advanced models and the coronal approximation used in the previous CHIANTI versions [1, 3], is that the anomalous ions have increased intensities by factors of 2-5. Also, they shift the ion formation towards lower temperatures. Figure 1. Silicon ion balance at a constant electron pressure of 7×1015 cm−3 K, with charge transfer included using the Fontenla 2014 Facula model atmosphere. We also show the advanced models without charge transfer and the CHIANTI v.10.1 coronal approximation model. Dufresne et al. [5] FIP Effect Our stellar sample was chosen to investigate the First Ionisation Potential (FIP) effect [6, 8] in stellar TR. This effect, first identified in the active solar corona, is characterised by an overabundance of low-FIP elements, such as Fe, Mg, and Si compared to high-FIP elements, such as H, He and O. Many studies of stellar coronae found that the FIP and Inverse FIP (IFIP) effects are prevalent among active stars and vary with stellar activity, see the review by Seli et al. [9]. Both FIP and IFIP are explained by models from Laming [6]. Method We remeasured line fluxes from Space Telescope Imaging Spectrograph (STIS) selecting the datasets with the longer exposure time, an E140H or E140M grating within a wavelength range of 1100 < λ < 1700. We used O IV and O V as a density diagnostic and assumed a constant pressure for the ions in the stellar TR. We used a pressure of 1016 cm−3 K for ϵ Eridani, Proxima Centauri and Procyon and a pressure of 1015 cm−3 K for α Centauri A. We eventually evaluated the improvements in modelling anomalous ions and derived reliable estimates of stellar abundances via a DEM modelling. We adjusted the log DEM based on the scaling fact
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