Sodicity is a major abiotic stress reducing the yield of a wide variety of crops all over the world. To investigate the mithipagal genotypes to the sodicity tolerance a study was taken up with 30 mithipagal genotypes. MCM-19 (Naduvakurichi local) maintained higher levels of chlorophyll and proline contents as well as catalase and peroxidase activities, ascorbic acid content, No. of female flowers and fruit yield under sodic soil condition followed by MCM-22 (Puthiyamputhur local) and MCM-21 (Arupukottai local). Abstract Genetic diversity and utilization of cultivated bitter gourd (Momordica charantia var. muricata) germplasm for varietal development S. Priyadharshini, K. Kumanan and A. Nithya Devi Vegetable Research Station, TNAU, Palur, Tamil Nadu – 607 102 Objectives • To estimate the extent of variability among the mithipagal genotypes for yield and quality under sodic soil condition. • Investigation of biochemical basis of tolerance in momordica sp. Introduction Materials and Methods Result and Discussion Conclusion Acknowledgment Keling, H., Zhang, L., Jitao, W., and Yang, Y. 2013. Inﬂuence of selenium on growth, lipid peroxidation and antioxidative enzyme activity in melon (Cucumis melo L.) seedlings under salt stress. Acta Societatis Botanicorum Poloniae, 82(3):193. Seckin, B., Turkan, I., Sekmen, A. H. and Ozfidan, C. 2010. The role of antioxidant defense systems at differential salt tolerance of Hordeum marinum Huds.(sea barleygrass) and Hordeum vulgare (cultivated barley). Environmental and Experimental Botany, 69(1), 76-85. • Mithipagal (Momordica charantia var. muricata) • Small (6-10 cm length) and round shaped fruit • Traditional medicine for the treatment of diabetes • Sodic soils - presence of excess Na+ and a high concentration of carbonate or bicarbonate anions. High pH (> 8.5–10.8), High SAR, and poor soil structure. • Genetic diversity in momordica species - key to successful breeding programme for obtaining variety with abiotic stress. • Location : HC &RI (W), Trichy • Genotypes : 30 Nos. • Spacing: 2 x1.5 m • Design: RBD • Replications: 3 • Field is sodic, sandy loam texture, with a pH of 9.00, EC 0.94 dSm-1 and ESP 21.76 per cent • Growth, Yield, quality and biochemical characters. • Increased antioxidant enzyme, catalase and peroxidase activity, chlorophyll content and proline content in mithipagal genotypes could be some of the physiological and biochemical mechanisms underlying sodicity tolerance in mithipagal genotypes. • On the basis of biochemical assays, MCM-19 (Naduvakurichi local), MCM-22 (Puthiyamputhur local) and MCM-21(Arupukottai local) showed a higher tolerance to sodicity. These genotypes may be utilized as source for hybridization programme for crop improvement. HGR P57 • MCM-19 exhibited superior expression on vine length (3.44 m), sex ratio (10.95:1), number of fruits per vine (78.33), fruit weight (9.08 g), yield per vine (0.717 Kg) followed by MCM-22 and MCM-21. • MCM-19 (Naduvakurichi local) maintained higher levels of chlorophyll (2.893 mg/g) and proline (650.42 µg g-1) contents as well as catalase (8.61 µg of H2O2 g-1 min-1) and peroxidase (0.082 ΔOD min-1 g-1) activities under sodic soil condition. References Fig 1. Variability in fruit character of mithipagal genotypes (MCM-19, MCM-22 & MCM 21) Field view of experimental field Variability in flower character


A NOVEL APPROACH FOR DATA PROCESSING AND MANAGEMENT IN EDGE COMPUTING Armend Duzha, Dimosthenis Kyriazis Department of Digital Systems, University of Piraeus, Greece Edge nodes are close to the users, and as a result can potentially receive large amounts of privacy-sensitive data. 1. Suthar, F., et al., “A Survey on Cloud Security Issues”. Inter. Journal of Computer Science and Engineering, 7(3): 120-123, 2019. 2. Swabey, P., “Why edge computing is a double-edged sword for privacy”. Techmonitor, 2022. 3. Guynes, S., et al. “Edge Computing Societal Privacy and Security Issues”. SIGCAS Comput. Soc. 48 (3-4): 11–12, 2020. 4. W. Shi and S. Dustdar, "The promise of edge computing“. Computer, 49 (5): 78-81, 2016. AIAI 2022 18th International Conference on Artificial Intelligence Applications and Innovations 19 June 2022 – Crete, Greece Further information: aduzha@unipi.gr This work has received funding from the European Union’s Horizon 2020 Innovative Training Networks programme under Grant Agreement No. 956562 Figure 2: High-Level Conceptual Architecture Challenges Introduction Approach References Develop an effective data governance solution in order to exploit the huge data volumes and allow interoperability, sharing, and re-use of high-quality and high-value data, and contributing towards the expansion of common EU Data Spaces. Build secure and trustworthy data processing pipelines, exploiting in-situ processing techniques of raw data locally at the edge to extract useful information and avoid excessive data transfer and redundant storage. Only more important (aggregated) data are transferred to a central location. Produce actionable insights from distributed data by exploiting Federated Learning algorithms, aiming at building local models that describe the surrounding data more accurately, while incrementally pushing model updates to a centralized location that maintains the complete model, but not the complete data. Provide approaches for resource optimization addressing both the cloud/edge space and the supported data operations, allocation of resources, and deployment patterns, driving towards the “green cloud computing” paradigm. Figure 1: Smart Mobility Use Case Edge nodes have limited resources, so they cannot support complex security mechanisms. Due to the high mobility of the devices and users, the edge computing environment is always changing. With the development of Internet of Things, more and more powerful devices are mediating our daily lives. This also result in massive data generated by billions of sensors and devices. Meanwhile the increasing demand for advanced services and applications, such as virtual reality, augmented reality and smart cities [see Figure 1], has created huge challenges on cloud computing. Edge computing has been proposed as a new computing paradigm where resources like computation and storage are placed closer to the data source. It enables a new class of latency and bandwidth sensitive applications as data can be processed at the nearest edge. Without sending data to the cloud, edge computing therefore enhances security and privacy.


VascularizationFeaturesforPolypLocalizationinCapsule Endoscopy V. B. Surya Prasath1, Hiroharu Kawanaka2 1Computational Imaging and Visualization Analysis (CiVA) Lab, Department of Computer Science, University of Missouri-Columbia, USA 1Graduate School of Engineering, Mie University, Japan prasaths@missouri.edu Contribution: Capsule Endoscopy Polyp Localization • Polyps in gastrointestinal (GI) tract can be precursors to cancer and detecting them early is important in determining their malignancy. • We consider polyp localization from capsule endoscopy imagery using vascularization features [1]. • We use features computed from principle curvatures of the image surface, and multiscale directional vesselness stamping we obtain localization of polyps. Vascularization Features • Principle curvatures: Let the principle curvatures of the image surface (x, y, I(x, y)) be κ2 1, κ2 1, the curvatures based texture feature is, Vκ(⃗x) = q κ2 1(⃗x) + κ2 2(⃗x). (1) • Multiscale directional vesselness stamping (MDVS): (a) Directional stamping [2]: Vd(⃗x) = G(⃗x) · I(⃗x) where, G(⃗x) = 1 2π p |L| exp  −1 2⃗xT L−1⃗x  , L =  cos(δ) −sin(δ) sin(δ) cos(δ)   λ1 0 0 λ2   cos(δ) −sin(δ) sin(δ) cos(δ) T with (λ1, λ2) are the eigenvalues and the angle of rotation δ = atan2(v2y, v2x), with v2 = (v2x, v2y) the smallest eigenvector of the structure tensor. (b) Frangi’s ﬁlter [3] is based on multiscale Hessian eigen-analysis and let the output be Vf. We combine the directional stamping Vd(·) with the multiscale vesselness Vf(·) to obtain multiscale directional vesselness stamping (MDVS): Vm(⃗x) = Vd(⃗x) · Vf(⃗x). (2) We use maximum response of both vascularization features Vκ in Eqn. (1), Vm in Eqn. (2) that can provide a good indicator of vascularization in polyps. (a) Polyp (b) Eigenvalues (λ1, λ2) (c) Angle δ (d) Vd(⃗x) (e) Vf(⃗x) IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Washington, DC, USA, 2015. Localization Results Example polyp localization using vascularization features for diﬀerent polyps imaged using Pillcam® cap- sules. Our approach obtains good localization and clearly reveals feature diﬀerences in adenoma and hyper- plasia polyps. (a) Malignant (b) Benign Vascularization features can be used to localize colorectal polyps (circled here) from VCE frames. (a) Malignant polyps obtained maximum responses for principle curvature based texture features whereas (b) benign polyps has smaller values. Currently, we are evaluating the method with expert segmentations and developing a classiﬁcation scheme based on the detected vessel features similar to [4]. References [1] V. B. S. Prasath. Polyp detection and segmentation from video capsule endoscopy: A review, Journal of Imaging, 2015. Special issue on Image and Video Processing in Medicine (Eds.: G. P. Martinsanz, P. Morrow, K. Suzuki). [2] J. Bredno et al. Algorithmic solutions for live device-to-vessel match. Proc. SPIE Med. Imag., Vol. 5370, pp. 1486–1497, 2004. [3] A. Frangi et al. Multiscale vessel enhancement ﬁltering. MICCAI, Springer LNCS Vol. 1496, pp. 130–137, 1998. [4] V. B. S. Prasath, R. Delhibabu. Automatic image segmentation for video capsule endoscopy. CIHD, Springer Briefs in Forensic and Medical Bioinformatics (Eds. N. B. Muppalaneni, V. K. Gunjan), pp. 73–80, 2015. Website and More Information • Download the poster @ ﬁgshare.com: http://dx.doi.org/10.6084/m9.figshare.1585847 • Project page: http://goo.gl/ZtlrY1


DÜRER DIGITALISIERUNG im Rahmen des DFG-Transferprojekts Evidenz ausstellen In kooperativer Zusammenarbeit von Universität und Museum untersucht das Team des DFG-geförderten Transferprojekts Evi- denz ausstellen. Praxis und Theorie der musealen Vermittlung von Evidenzerzeugung (2015‒2018), wie Sinnzusammenhänge und Erkenntnisse von Bildern in öffentlichen Präsentations- formen erzeugt und vermittelt werden. Zu diesem Zweck wurde die experimentelle Ausstellung Double Vision. Albrecht Dürer & William Kentridge (Kulturforum Berlin, 20.11.2015‒6.3.2016; Staatl. Kunsthalle Karlsruhe, 10.9.2016‒ 8.1.2017) entwickelt. Sie ist das visuelle Labor für die weitere projektbezogene Forschung, bei der die Möglichkeiten und Grenzen des Display von Arbeiten auf Papier sowie die spezifische Ästhetik des Schwarzweiß erkundet werden. Eine intensive Untersuchung der visuellen Erfahrungsräume, die Albrecht Dürers Zeichnungen und Druckgraphiken er- zeugen, erfordert die Möglichkeit einer genauen Analyse der Originale. Um dem Forschungsinteresse und den konservatori- schen Bedingungen zum nachhaltigen Schutz der Kunstwerke gleichermaßen zu entsprechen, wird derzeit im Rahmen der Kooperation der ca. 1600 Arbeiten umfassende Dürer-Bestand im Kupferstichkabinett der Staatlichen Museen zu Berlin di- gitalisiert. Als einmalige Initiative trägt diese Teil-Erschließung zur langfristig angelegten Open Access-Strategie der Stiftung Preußischer Kulturbesitz bei, die ihre umfangreichen Samm- lungen allen Interessierten unter vereinfachten Bedingungen weltweit zugängig machen will. Für den digitalen Zugriff auf die bedeutenden Dürer-Bestände im Kupferstichkabinett der Staatlichen Museen zu Berlin ‒ da- runter einzigartige Zeichnungen wie das Porträt seiner Mutter (1514) und die Drahtziehmühle (1494) sowie eine außerge- wöhnlich hohe Anzahl von Abzugvarianten einer Druckplatte oder eines Druckstocks auf verschiedenen Papieren und/oder von späterer Hand ‒ wurde im Team von KunsthistorikerInnen, Restaurator, Fotograf und Magazinern ein Workflow mit einer schonenden Handhabung der Kunstwerke konzipiert. Die parallel erfolgende Dateneingabe wird die Online-Stellung der Daten im Frühjahr 2017 ermöglichen. Leitung FU Berlin: Prof. Dr. Klaus Krüger, Dr. Elke Anna Werner Leitung Kupferstichkabinett SMB: Dr. Michael Roth Restauratorische Betreuung: Dipl.-Rest. Georg Josef Dietz Konzeption & Koordination: Dr. Nadine Rottau Mitarbeit: Franziska May, Charlotte Wagner Fotograf: Dietmar Katz Die erhobenen Dürer-Forschungsdaten werden im Museumsdokumentationssystem der Staatlichen Museen zu Berlin und in der digitalen Diathek des Kunsthistorischen Instituts der Freien Universität Berlin erfasst. Über dieses institutionsgebundene Angebot hinaus werden die Daten in die Online- Datenbank SMB-digital sowie die Deutsche Digi- tale Bibliothek eingespeist und unter der Creative Commons Lizenz CC BY NC SA 3.0 Deutschland zur Verfügung gestellt. Poster-Text & Layout: Nadine Rottau │Lizensiert unter CC BY 4.0 Albrecht Dürers Werke Rhinocerus, 1515 (Holzschnitt) und Barbara Dürer, die Mutter des Künstlers, 1514 (Kohlezeichnung) aus der Sammlung des Kupferstichkabinetts der Staatlichen Museen zu Berlin (oben) und der Datensatz zu dem Kupferstich Herkules am Scheide- wege (um 1498) in der Deutschen Digitalen Bibliothek (unten) bildevidenz.de│smb.museum│doublevision-berlin.de


Game-changing brain-inspired computing for market innovation and disruption The Consortium Health Climate AI weather & climate modelling Accident prevention Energy Financial Real-time fraud detection The HYBRAIN project has received funding from the European Union's Innovation Council Pathfinder programme under Grant Agreement no.101046878. Sustainabile AI solutions Hybrid technology for ultra-low latency, energy-efficient Artificial Intelligence applications Join the community @HYBRAIN_EU hybrain.eu info@hybrain.eu HYBRAIN Project PROJECT COORDINATOR


Utrecht, Netherlands Riga, Latvia Cascais, Portugal Together with residents from four green-deprived neighbourhoods, we are co-creating community-based actions to collect data on temperature, relative humidity and heat stress. Through the use of wearables and mobile applications, women with a migration background and young people will contribute to citizen-powered monitoring to help reduce the urban heat island effect and shape effective climate change adaptation strategies. Riga, is engaging diverse audiences to address concerns about air pollution and greenspace usage, to ensure better informed policies. The Riga Planning Region, the city of Riga’s digital agency and local communities are joining forces to deploy 20 low-cost air quality monitors to collect temporal, hyperlocal, geospatial data on pollutants such as Particulate Matter (PM2.5). This network, which cover both high traffic areas as well as urban greenspaces, offer an efficient means of acquiring real-time data on PM2.5, to identify pollution hotspots and subsequently implement targeted interventions. The Cascais Climate Change Adaptation Action Plan (2017) was the first of its kind in Portugal. Despite progress, assessing the value of urban green infrastructure still remains a major challenge. In Urban ReLeaf, through the use of surveys conducted across 7 unique greenspaces in the region, citizens are sharing perceptions and thermal comfort levels to validate the effectiveness of its parks. Dundee, UK Athens, Greece Mannheim, Germany In Dundee, a city facing increasing grey infrastructure in deprived areas, actions to enhance the accessibility of greenspaces are co-developed with citizens and stakeholders. Bespoke surveys delivered through a mobile application will not only help residents discover and connect with local greenspaces, but also contribute valuable insights to help design the city’s Open Space Strategy in 2025. The Greek capital faces severe heatwaves more often, while air pollution reaches high levels both during the winter and summer. To advance the spatial and temporal coverage of existing data, a network of low- cost air quality monitors will be deployed across the 7 districts of the municipality. In addition, Athens is undergoing a greening transformation with a new tree registry the combines Earth Observation and crowdsourcing methods to provide critical data for better management of greenspaces.  Known as one of Germany’s hottest cities, Mannheim has become a pioneer by approving a heat action plan to safeguard its most vulnerable residents. We are co-developing a comprehensive tree registry with the help of citizen observations on mature trees and trees on public land to support urban climate protection and adaptation measures. The aim of the registry is to help city departments streamline management processes and highlight future tree planting locations. 15 6 10 4 €5.2m 9 Partners Pilot Cities Accelerator Cities Years Budget Countries Our Mission Urban ReLeaf promotes collaboration between local communities and public authorities to address urgent climate issues related to urban greenspace planning, heat stress, and air pollution. Urban Trees Greenspace Perception Wearable Sensors Heat Stress Air Quality Mobile Applications Air Quality Monitors PM2.5 Themes Technologies www.urbanreleaf.eu #releafcities @releafcities Find out more A look at the project in numbers Our Objectives 1. 2. 3. 4. 5. Understand current urban greening policies in six pilot cities and co-develop opportunities for citizen participation to complement existing practices. Support the long-term inclusion of active and passive data from citizens within official data streams for urban monitoring, planning and innovation in public policy. Mobilize and empower local communities in issues of public interest surrounding urban green infrastructure and environmental stewardship. Establish a community of practice and an accelerator programme to encourage knowledge exchange and tra


Reconstruction of bacterial genomes from a Northern Patagonian fjords (42 ° S) with potential biotechnological applicability Valentín Berrios Farias1, Eduardo Castro-Nallar1 (1) University of Talca, Departament of microbiology, Faculty of Biological Sciences. Created with BioRender Poster Builder BACKGROUND Microorganisms have the capability of producing non ribosomal peptides (NRPs) associated with their secondary metabolism. Previous works have demosntrated the biotechnological applicability of these peptides . Bioinformatic steategies have been developed to detect these peptides along with other metabolites of industrial interest from sequencing data by detecting biosynthetic gene clusters (BGCs) . Soil and marine metagenomes have been broadly studied regarding the biosynthetic potential of the microbial communities to synthetise these peptides . Nevertheless estuarine microbial communities have been poorly studied in respect their natural products. The Comau Fjord 93 water samples were colelcted from Comau fjord from 2016 to 2019. The prokaryotic DNA was captured and sequenced with illumina technologies. Prokaryotic eDNA was sequenced, genomes were reconstructed and metabolic predictions were made We predicted secondary metabolites from 677 reconstruncted environmental bacterial genomes from sequencing data Biosynthetic gene clusters producing non ribosomal peptides were detected in almost all phyla including Verrucomicrobiota, Bacteroidetes, Actinobacteria , Proteobacteria and Planctomycetes, Desulfofacteria and Myxococcota. Besides NRPS biosynthetic gene clusters, other secondary metabolites were inferred using antiSMASH software: How can non ribosomal peptides be predicted from sequencing data? Non ribosomal peptides are synthezised by enzymatic complexes called non ribosomal peptide synthases (NRPS). The domains that constitute these enzymes can be localized in BGCs along the bacterial genomes , thus, robust probabilistic models have been developed to identify these BGCs. Future directions It has been hard to synthesize and isolate the natural products synthesized by BGCs . Most of these genetic clusters remains cryptic on their hosts,. This is how heterologous expression strategies of these clusters have emerged as an ingenious way of producing the cryptic secondary metabolites stored by their original hosts. CONCLUSION The bacterial communities of the Comau fjord constitute a relevant reservoir of biosynthetic gene clusters that produces several types of natural products. In particular, two bacterial genomes stands outs in terms of major number of predicted BGCs. The major number of NRPs were predicted from a Gammaproteobacteria genome and the major number of predicted BGCs of any class were predicted from a Planctomycetes genome. Infered chemycal novelty of predicted BGCs on the Planctomycetes genome establishes this bacteria as a promising candidate from which novel terapeutic compunds such as antivirals can be discovered.


Universidade Federal de Uberlândia – Faculdade de Engenharia Elétrica AVALIAÇÃO DE SINAL-RUÍDO EM IMAGENS MAMOGRÁFICAS UTILIZANDO A TÉCNICA UNSHARP MASK Ana Laura Shimamoto1 , Guilherme Orpheu1 , Pedro Cunha Carneiro1 , Ana Claudia Patrocinio1 Câncer de Mama em mulheres • O câncer de mama é a principal causa de morte por câncer em mulheres brasileiras; • É um dos tipos de câncer mais temidos pelas mulheres, devido à sua alta frequência e efeitos psicológicos, como alterações da sexualidade e da imagem corporal, medo de recidivas, ansiedade, dor e baixa autoestima; O exame de mamografia • É o exame dos tecidos moles das mamas, em mulheres com 35 anos ou mais, que permite a identificação de alterações não perceptíveis ao ECM; • 60% dos mamógrafos não são submetidos à testes de controle de qualidade; Imagem e Processamento Digital • A resolução de contraste e resolução espacial influenciam na qualidade da imagem mamográfica; • O processamento digital destaca uma região de interesse, de modo que a imagem resultante seja mais apropriada para uma aplicação específica do que a imagem original; Objetivo do artigo Através da técnica de realce de contraste Unsharp Mask (máscara de nitidez), quantificar o realce considerando a relação sinal-ruído e o contraste nas mamografias; Banco Digital de Imagens  INbreast: 76 imagens, do Padrão 3 e Padrão 4 (pelo BI-RADS), anonimizadas. Nas categorias de: apenas nódulos, apenas micros, nódulos+micros e normal;  Hologic: 10 imagens, do tipo 2D; • Todas as 86 imagens estão no formato DICOM, com 12 bits de resolução de contraste; Etapas do Processamento Digital 1. Filtro de Wiener (3x3): É um filtro de suavização que utiliza a teoria dos mínimos quadrados afim de remover ruídos e restaurar a imagem; 2. Unsharp Mask (UM): Consiste na subtração de uma cópia de imagem original borrada (unsharp) da própria imagem original, para enfatizar as bordas das lesões e melhorar a qualidade visual da imagem. • UM ao aprimorar detalhes, também amplifica ruídos, e o realce é maior em áreas de maior contraste na imagem, o que pode originar artefatos na imagem de saída. Dentro do UM existem 3 critérios que definem a intensidade do realce: Radius (raio): Esse critério não apresenta valores típicos, e, o seu valor afeta o tamanho das bordas a serem aprimoradas. Um raio menor aumenta os detalhes em menor escala. Amount: Esse critério apresenta variação de 0-2, e especifica o grau em um número escalar do "sharpening". Um alto valor implica em um aumento do contraste dos pixels. Threshold: Esse critério apresenta variação de 0- 1. Altos valores permitem o "sharpening“ apenas em regiões de alto contraste, como bordas mais grosseiras, enquanto valores mais baixos permitem a nitidez em regiões mais suaves da imagem. • As imagens foram processadas por meio de um código no software Matlab R2017b (9.3.0.713579), variadas dentro dos valores típicos dos critérios e organizadas de acordo com a Tabela 1. Por fim obteve-se os valores médios e o desvio padrão (DP) das métricas para fim comparativo, PSNR e SNR. Tabela 1: Valores estabelecidos para os critérios da UM. SNR: É a razão entre a amplitude do sinal pela amplitude do ruído, dado pela Equação (1). (1) Onde, “A” é o valor quadrático médio (RMS) da amplitude, “s” é o vetor que representa o sinal original, “r” representa o vetor de ruído e “n” o comprimento do vetor do sinal. PSNR: É o valor de pico da relação sinal-ruído, ou seja, é a relação entre a máxima energia de um sinal e o ruído, dado pela Equação (3). O PSNR é obtido através do MSE (Mean Square Error), que representa o erro quadrático entre a imagem compactada e a imagem original, dado pela Equação (2). (2) Onde “I” e “K” são as imagens original e processada, e “m” e “n” são o número de linhas e colunas da matriz, respectivamente. (3) Onde o “MAX” é o maior valor de pixel a ser atribuído na imagem. Faculdade de Engenharia Elétrica1, Universidade Federal de Uberlândia, Minas Gerais, Brasil. Introdução • Ao fin


Building a Community of Practice for “Big Science” Organizations Mahedi Hasan1, Kerk F Kee1, and Ewa Deelman2 Overview This work explores the development and implementation of Communities of Practice (CoP) within “Big Science” Organizations. A CoP is a group of professionals who share a common interest, profession, or passion and actively engage in collaborative learning and knowledge sharing (Wenger, 1998). In the context of “big science” (e.g., large-scale observatories), a CoP plays a crucial role in fostering collaboration, enhancing knowledge exchange, and driving innovation across multiple facilities, especially in the domain of cyberinfrastructure (CI). Based on 23 interviews conducted with directors, project staff, technical staff, and scientists across various “big science” organizations funded by the National Science Foundation (NSF) called Major and Mid Scale Facilities (M& MFs), we used the grounded theory approach (Corbin & Strauss, 1990) as our method to analyze the data. Strategies for Building a CoP What strategies can help build a CoP for M&MF professionals? Identifying Common Interests/Challenges: Common interests or challenges, such as cloud computing, cybersecurity, and long-term data storage, can bring the community together. Promoting Knowledge Sharing: Encouraging the exchange of information, best practices, and experiences among community members. Regular virtual meetings and collaborative platforms can facilitate knowledge sharing. Organizing Guest Sessions: Inviting experts and experienced community members to share their insights and knowledge through webinars, workshops, and guest lectures. For example, CI Compass has organized guest sessions featuring experts from various M&MFs to discuss topics like data management and cybersecurity (Baldin et al., 2024). Providing Networking Opportunities: Organizing conferences and workshops can facilitate networking among MF professionals, allowing them to connect, collaborate, and build relationships. Creating an Inclusive Environment: Ensuring that all members of the community feel valued, respected, and included. Efforts have been made to include diverse voices and perspectives in community activities, fostering an inclusive environment. Facilitating Collaborative Projects/ Initiatives: Encouraging joint projects that address common challenges and leverage collective expertise is crucial. Identifying projects that can benefit from collaboration and providing resources to support these initiatives is essential. Exploring New Partnerships: Seeking partnerships with other organizations with the NSF-funded MFs to expand resources and knowledge is essential for building a CoP. It helps to proactively look for opportunities to collaborate with institutions that have complementary strengths and goals. Having a Community Facilitator: Organizing a community is not an easy task. An enduring structure does not always emerge by chance. Having a community facilitator or a facilitator team can be helpful and make this effort more intentional. References: Baldin, I., Brower, D., Butcher, D., Casey, R., Clark, C., Deelman, E., Flynn, B., Hasan, M., Kee, K., Livny, M., Mandal, A., Murillo, A., Nabrzyski, J., Pascucci, V., Petruzza, S., Romsos, C., Stanzione, D., Vahi, K., & Virdone, N. (2024). 2024 Cyberinfrastructure for U.S. NSF Major Facilities Workshop Report (1.0). Zenodo. https://doi.org/10.5281/zenodo.11372561 Corbin, J. M., & Strauss, A. (1990). Grounded theory research: Procedures, canons, and evaluative criteria. Qualitative sociology, 13(1), 3-21. Wenger, E. (1998). Communities of practice: Learning as a social system. Systems Thinker, 9, 2-3. This material is based upon work supported by the U.S. National Science Foundation under Grant No #2127548. 1 College of Media and Communication, Texas Tech University 2 Information Sciences Institute, University of Southern California


Rotation-activity relations and flares of M dwarfs with K2 long- and short-cadence data 1IAAT Tübingen, Germany; 2INAF/OA Palermo, Italy; 3INAF/OA Torino, Italy; 4SUPA St.Andrews, Scotland St. Raetz1, B. Stelzer1,2, M. Damasso3, and A. Scholz4 Abstract The sample 2 1 4 Studies of the rotation-activity relation of late-type stars are essential to enhance our understanding of stellar dynamos and angular momentum evolution. Photometric observations with space telescopes provide rotation periods even with low amplitudes as well as a wealth of activity diagnostics. Our previous study of the rotation-activity relation based on photometric activity indicators from long cadence K2 data (Stelzer et al. 2016) revealed, that, at a critical rotation period of ~10d, the activity level changes abruptly. This phenomenon represents an open problem within the framework of dynamo theory. We have now extended our work to K2 short cadence data to examine a possible influence of the data sampling on the shape of the rotation-activity relation, in particular with respect to the different sensitivity to the detection of stellar flares. Starspot modulation Flare Detection 3 Results (Raetz et al. 2020a) 1. Comparison of flares in long cadence and short cadence data 2. Flare durations: ●durations are more overestimated for shorter ﬂares consequence of the strong artiﬁcial quantization due to the ~30 min cadence ●bimodality is only barely visible in long-cadence data 3. Flare frequencies ●fast rotator regime (Prot < 10d): ﬂare rate is ~5 times higher for short-cadence data ●slow rotator regime (Prot > 10d): flare rate is ~3 times higher for short-cadence data ●whole sample:  (Nflares/day)SC = 4.6 x (Nflares/day)LC ●the highest ﬂare rates are not found among the fastest rotators (also seen by Mondrik et al., 2019 in the MEarth data set) 4. Flare energies ●stars with the highest ﬂare rates do not show the most energetic ﬂares ●average power law slope for the fit of the flare energy frequency distributions for all targets: α = 1.84 ± 0.14 (Consistent with previous M dwarf studies and the value found for the Sun.) ●the superﬂare frequency (E ≥ 5 × 1034 erg) for the fast-rotating M stars is twice higher than for solar like stars in the same period range (Maehara et al., 2012) Summary 6 5 The sample was selected from the Superblink proper motion catalog by Lépine & Gaidos (2011), which includes 9000 bright M dwarfs ∼ (J < 10 mag) with spectral types from K7 to M7. Our K2 observing project (PI: Scholz) comprised all Lépine & Gaidos (2011) M dwarfs in the K2 ﬁeld of view. During 20 K2 campaigns (C0–C19), 485 light curves of 430 targets were obtained. For a subsample of these 430 M dwarfs short-cadence light curves are available. Our final sample comprises 56 bright and nearby M dwarfs observed by K2 during campaigns C0-C18 in long and short cadence mode. Fig.1: Distribution of the spectral types for our K2 M dwarf sample. Negative values denote spectral types earlier than M. We extracted the raw light curves from the target pixel files with the KeplerGO/lightkurve Code. We developed a procedure that allows us to use the detrending by Vanderburg & Johnson (2014) and apply it to the original long and short cadence light curves. Stellar rotation rates are derived from the periodic brightness variations that are caused by cool spots on a stellar surface. We used three standard time series analysis techniques to search for the rotation period: We searched for flares in the K2 light curves. Our flare analysis procedure is based on the routine used in Stelzer et al. (2016): Iterative process of ●boxcar smoothing ●removing 2σ outliers ➔ final smoothed LC (interpolated to all points of the original input LC) ➔points that lie 3σ above the final smoothed LC where flagged ➔groups of at least two (long cadence) / five (short cadence) consecutive flagged points were assigned as potential flares Flare validation: The following criteria have to be fulfilled: (1) the flare do


VITO NV | Boeretang 200 | BE-2400 Mol | + 32 14 33 55 11 | www.vito.be SUSTAINABLE - ENTREPRENEURIAL - INSPIRING - CREATIVE THE NATURE OF THE POLYMERIC GLYCO-LINKER CONTROLS THE SIGNAL OUTPUTS FOR PLASMONIC GOLD NANORODS BIOSENSORS IN COMPLEX MEDIA DUE TO BIOCORONA FORMATION Alessia Pancaro,a-b Michal Szymonik,a Panagiotis G. Georgiou,c Alexander N. Baker,c Marc Walker,e Peter Adriaensens,f Jelle Hendrix,b Matthew I. Gibsonc,d and Inge Nelissena a Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium; b Dynamic Bioimaging Lab, Advanced Optical Microscopy Centre and Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium; c Department of Chemistry, University of Warwick, Coventry, UK; d Warwick Medical School, University of Warwick, Coventry, UK; e Department of Physics, University of Warwick, Coventry, UK; fApplied and Analytical Chemistry, Institute for Materials Research, Hasselt University, Diepenbeek, Belgium. Aim: Evaluate the nature of RAFT polymer ligands on plasmonic lectin sensing in human serum. https://doi.org/10.1039/D1NR01548F BACKGROUND Poly(N-(2-hydroxypropyl) methacrylamide) (PHPMA) and poly(N- hydroxyethyl acrylamide) (PHEA) were synthesised by photo-initiated RAFT polymerization with different degrees of polymerisation (DP = 40, 50, 55, 68 for PHPMA and DP = 26, 35, 50, 60 for PHEA) by tuning the feed ratio. Conjugation of glycopolymers onto gold nanorods (A) UV-Vis (C) XPS (B) DLS (D) TEM High colloidal stability. Successful attachment of the glycopolymers to the gold particle surface. Higher surface grafting density for the PHEA polymer. This work is supported by: Marie-Curie European Training Network (MC-ETN) NanoCarb N° 814236; VITO; Hasselt University; the Research Foundation Flanders (FWO Vlaanderen; Hercules project AUHL/15/2 - GOH3816N); the ERC (Grant 866056); the BBSRC-funded MIBTP program (BB/M01116X/1) and Iceni Diagnostics ltd. The Warwick Polymer Research Technology Platform is acknowledged for SEC analysis, and the Warwick Electron Microscopy Research Technology Platform is acknowledged for TEM. ACKNOWLEDGEMENTS Lectin binding studies in buffer and human serum Contribution and impact of serum proteins on sensing performance • The chemistry of the polymer linker used for nanoparticle-based nanoplasmonic assays can impact the nature of the sensor response. • Initial screening of sensor response in buffer is not a reliable strategy for identification of the best-performing surface modifications for biosensing in complex biofluids. • The nature of polymeric tethers and their grafting density directs the formation of biocoronas in serum, and this has a huge impact on biosensing of lectins. CONCLUSIONS LSPR peak following the addition of glyco-GNRs to a dilution series of SBA in serum: A) Gal-PHPMA GNRs showed no response to SBA in the concentration range tested (in contrast to the strong LSPR shift observed in buffer alone). B) Gal-PHEA nanorods showed dose- dependent LSPR shifts plus SBA (in contrast to the aggregative behaviour observed for the same assay performed in buffer). Evolution of LSPR peak wavelength location over time (5 hours) after addition of Gal-PHEA35 GNRs to serum containing different SBA concentrations. The LSPR peak wavelength of Gal-PHEA GNRs in serum decreases upon SBA addition, consistent with overall loss of mass from the particle surface, rather than a net mass gain due to lectin binding. The localised surface plasmon resonance (LSPR) peak of gold nanorods (GNRs) is located in the near-infrared optical window and is sensitive to local binding events, enabling label-free detection of biomarkers in complex biological fluids. Glycan-binding proteins, called lectins, play a key role in many biological processes. To enable LSPR-based biosensing, the nanoparticles must be decorated with recognition units tethered to the surface by a ligand. We studied the sensing performance of GNRs coated with galactosamine-modified polymeric linkers fo


Nathalie Huck und Carmen Schwietzer info@landesarchiv.berlin.de www.landesarchiv-berlin.de Landesarchiv Berlin Open Research Data im Landesarchiv Berlin Namensverzeichnisse der Berliner Standesämter Mit Einführung der sogenannten ‚Standesämter‘ 1874 bekam Berlin über zwanzig derartige Einrichtungen, und mit der Bildung „Groß-Berlins“ kamen 1920 noch Dutzende dazu. Zu diesen Beständen gibt es keine übergreifende Namenskartei. Stattdessen wurden in jedem Amt ein- zeln Namensverzeichnisse erstellt, für jeden Typ (Geburt, Heirat, Tod) und jedes Jahr getrennt. Namensverzeichnisse sind nach dem ersten Buchstaben des Nachnamens geordnet. Das Landes- archiv Berlin bietet mit der Onlinestellung der digitalisierten Namensverzeichnisse der Stan- desämter die Grundlage für den Rechercheeinstieg in die Familienforschung. Datentyp Primärdaten Infrastrukturen Online-Datenbank mit Digi- talisaten Nutzende niedrigschwelliger Zugang „citizen science“ Lehrende und Lernende; Historikerinnen und Historiker, Kultur- wissenschaftlerinnen und Kulturwissenschaftler, Soziologinnen und Soziologen, Journalistinnen und Journalisten, Erbener- mittelnde, Provenienzforschende Nutzungszwecke Heimat- kundliche Forschung, Stolpersteinrecherche, statistische Aus- wertungen, Genealogische Forschungen, Beleg für rechtliche Ansprüche Daten ca. 44.650 Besucherinnen und Besucher und ca. 339.000 Seitenaufrufe jährlich Lizenz: Creative Commons Lizenz CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) HistoMap Berlin Die Online-Anwendung HistoMap Berlin wurde in Kooperation mit der Beuth Hochschule für Tech- nik Berlin, Büro für Geomedien, entwickelt. Auf Basis von georeferenzierter Karten von 1910 bis 2012 wird eine grundstücksgenaue Recherche ermöglicht. Die einzelnen Kartenblätter können übereinandergelegt werden und schaﬀ en damit eine Vergleichsmöglichkeit der Grundstücke über die Jahrzehnte hinweg. Datentyp Primärdaten Infrastrukturen Geoinformationssystem Nutzende niedrigschwelliger Zugang „citizen science“ historisch und geografisch Interes- sierte; Lehrende und Lernende; Historikerinnen und Historiker, Verwaltungswissen- schaftlerinnen und Verwaltungswissenschaftler, Kulturwissenschaftlerinnen und Kulturwissenschaftler , Soziologinnen und Soziologen, Journalistinnen und Journa- listen, Stadtplanende, Architekten und Architektinnen Nutzungszwecke Heimat- kundliche Forschung, Straßenumbenennungen, Grundstücksverschiebungen, Stadtpla- nung und –bau Lizenz: Creative Commons Lizenz CC BY 4.0 (https://creativecommons. org/licenses/by/4.0/) Lizenz: Creative Commons Lizenz CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) Bilder: Landesarchiv Berlin


Multi-scale simulation of epitaxial processes — Linda Jäckel1,2,3, Andreas Zienert1,2,3, Erik E. Lorenz1,2,3, Max Huber1,2,3, Jörg Schuster1,2,3 1 Fraunhofer Institute for Electronic Nano Systems ENAS, Chemnitz, Germany ² Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, Chemnitz, Germany ³ Center for Microtechnologies, Chemnitz University of Technology, Chemnitz, Germany Introduction Epitaxial growth are competitive processes in semiconductor industry Helpful insights for process optimization and transfer through modeling and simulation strategies possible Multi-scale simulations needed to investigate growth on small features Reactor-scale modeling Example: Single-wafer reactor for Si epitaxy Goal: Optimization of single-wafer reactor Si epitaxial growth from DCS (SiH2Cl2) Newly developed chemistry model for low-temperature Si epitaxial growth Process optimization using reactor-scale simulation to identify relevant parameters Result: Reduced wafer rotation speed ω most promising option for variability reduction Si growth rates by wafer rotation speed ω. SiGe growth rate over 100 horizontally oriented wafers. Simplified single-wafer reactor with gas flow velocity magnitudes (color) and velocity vectors (black arrows). Multi-wafer reactor with wafer boat (blue), inlet pipes (orange), inlets (red), outlet (green) and the outer reactor hull (gray). Example: Multi-wafer reactor for SiGe epitaxy Goal: Optimization of complex multi-wafer batch reactor with multiple gas inlets Result: Wafer-to-wafer variability of growth rate due to local cooling near gas inlets more inlets less variability Feature-scale modeling Si film growth with 10x10 nm² size constraint: Atomistic representation (left) and extracted facets (right). Goal: Investigation of epitaxial growth on feature-scale Approach: Kinetic Monte Carlo-based effective attachment model2 Effective growth surface, dependent on temperature, composition, surrounding features Simulation of pattern- and time-dependent local growth rates Facet extraction: Delauney-based Alpha shape extraction with simplical decomposition3 Multi-scale modeling Multi-scale coupling approach combing CFD and KMC. Deposition processes on structured substrates: only feature- scale model alone not sufficient Multi-scale model combing feature-scale and reactor-scale approach is possible4 Implementation in CFD-ACE+ with user defined functions Local effects of global gas flow considered Result: model which fully captures the deposition characteristics for epitaxial growth on small features Si Growth rate as a function of trench width. 1 C. Werner and M. Hierlemann, “Applications of PHOENICS-CVD to epitaxial SiGe polysilicon and silicon dioxide deposition in range of CVD reactors,” PHOENICS Journal, vol. 8, no. 4, pp. 538–552, 1995. 2 R. Chen, W. Choi, A. Schmidt, K.-H. Lee, and Y. Park, “A new kinetic lattice monte carlo modeling framework for the source-drain selective epitaxial growth process,” in 2013 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD). IEEE, Sep. 2013. DOI: 10.1109/sispad.2013.6650561 3 P. G. Goerss and J. F. Jardine, Simplicial homotopy theory. Springer Science & Business Media, 2009. 4 N. Cheimarios, G. Kokkoris, and A. G. Boudouvis, “Multiscale modeling in chemical vapor deposition processes: Coupling reactor scale with feature scale computations,” Chemical Engineering Science, vol. 65, no. 17, pp. 5018–5028, 2010. DOI: 10.1016/j.ces.2010.06.004 This work was funded by the EFRE fund of the European Commission and by funding of the Free State of Saxony of the Federal Republic of Germany (project MOMENTUM, grant number 100358750). Methods Reactor-scale: Computational fluid dynamics using CFD-ACE+ Feature-scale: Inhouse-Code Multi-scale coupling with user defined functions in CFD-ACE+


Abstract: The role of magne-c ﬁeld in the AGN jet physics is s-ll not fully determined. At pc scale, it is known that it is important in the accelera-on and collima-on processes while at arcsecond scale it could reveal fundamental pieces of the jet dynamics and energe-cs and its surrounding environment. At intermediate scales, the scenario is more debated. To contribute in this framework, we need to resolve polarized emission even in the low surface brightness extended structures (e.g. lobes). This absolutely requires high sensi-vity observa-ons. With the advent of ALMA, now it is possible also in the millimeter, a band which was unexplored by previous facili-es. Here I present the impressive images in polariza-on obtained using ALMA archival mul- band data of an ALMA calibrator PKS 0521-365 which represents a prototype of BL Lac object with extended resolved structures (jet and hotspot) at all frequencies from op-cal to X-rays. Polarized emission in the mm band of PKS0521-365: ALMA observaAons. E.Liuzzo, R. Paladino, V. Galluzzi & IT ARC node Next steps and perspecAves: ALMA observaAons and results The peculiar case of PKS 0521-365 References: This is a nearby (z = 0.0554) radio-loud object and bright FERMI source, exhibi-ng a variety of nuclear and extranuclear phenomena (Falomo et al. 2009). It is one of the most remarkable object in the sourthern sky: It is one of the three known BL Lac objects showing a kiloparsec-scale jet well resolved at all bands (Liuzzo et al. 2011). As showed in Fig.1, a one-side radio jet extends in N-W side up to 7 arcsec , with the presence of many knots that are also detected from op-cal to X–rays (Falomo et al. 2009). An hotspot is also detected in all bands at 8 arcsec from the nucleus in the southeast direc-on. At low frequency, the arcsecond-scale radio structure is dominated by an extended lobe. The overall energy distribu-on of PKS 0521-365 is consistent with a jet oriented at about 30 degrees with respect to the line of sight. This is also in agreement with the absence of superluminal mo-on in the parsec–scale jet (Falomo et al. 2009). In the millimeter bands, extended structures (hotspot and jet) of this object are detected up to 320 GHz, with similar structures from op-cal to X–rays (Liuzzo et al. 2015, Leon et al 2016). An es-mate of molecular gas content is also given together with an analysis od the SED of each source component (Liuzzo et al. 2015). We analysed polariza-on data in • Band 3 from our propretary data (PI: V. Galluzzi); • Band 5 from science veriﬁca-on observa-ons; • Band 7 from public archival data. We found that the source is well resolved upt to 350 GHz with detec-on of core, inner jet and hotspot. Polarized emission is revealed: • in the core and hotspot up to B 7. • also in the extended jet and lobe in B 3 with posi-on angle parallel to the jet direc-on and to the shock front in the lobe. Brentjens & de Bruyn 2005, A&A, 441 1217, Falomo et al. 2009, A&A, 501, 907 Leon et al. 2016, A&A, 586, A70 Liuzzo et al. 2011, arXiv:1105.5226 Liuzzo et al. 2015 Revolu-on in Astronomy with ALMA: the 3° year, 499, 129 In the following I discuss what it is now possible to do thanks the presented high quality ALMA data in polariza-on, like those presented here: • Magne&c ﬁeld study in radio loud AGN: Nearly 10-20 % of AGN are radio loud and the form of their spectra as a func-on of frequency implies that the radio emission is non-thermal (synchrotron) in origin, due to rela-vis-c plasma moving in strong and ordered magne-c ﬁelds. Since the polarised signal in these objects is typically a few percentage of the total intensity, collec-ng informa-on on magne-c ﬁeld of RL AGN requires telescope with high sensi-vity (<<1mJy/beam) as ALMA. The results obtained for PKS 0521-365 show that in only 10 mins on source polarized emission is revealed even in the lobes with angular resolu-on < 0.5 arcsec, demonstra-ng that now with ALMA impressive results could be reached also for faint source com


Evaluating State‐of‐the‐Art Handwritten Text Recognition (HTR) Engines; with Large Language Models (LLMs) for Historical Document Digitisation CRediT (Contributor Roles Taxonomy) Conceptualization: AR; GL; CAR Data curation: AR; CAR; REPBUBLIC! Formal Analysis: GL; CAR Methodology: GL Software: GL; PS; AR; CAR Writing – original draft: GL; CAR Writing – review & editing: all. Conclusions: ‐ All used engines can handle challenges in the given data (small trainingset/difficult handwriting/abbreviations/stenography) and can be trained to improve performance. ‐ HTR+ outperforms Pylaia in Glagolitic, whereas Pylaia is better on Shorthand. A reason could be that HTR+ suffers from a too large subsampling of the image, so that the transcription does not fit into the probability matrix. ‐ There is a tradeoff between inference time and quality: HTR+ and Pylaia are very fast, whereas IDA and especially TrOCR are slower. Also the number of trainable parameters varies from 3M (HTR+, Pylaia) to 558M (TrOCR). ‐ While HTR+, Pylaia and IDA need good surrounding polygons, TrOCR is pre‐trained and fine‐ tuned on unmasked text lines and does not suffer from defective surrounding polygons. ‐ LMs always improve the three models. This cannot be applied for TrOCR because it always incorporates a LM. ‐ HTR+, Pylaia and IDA are trained from scratch. For IDA, it took about 48 hours on one GPU for the Republic dataset to reach the performance. Training Pylaia only takes 9 hours 22 minutes. ‐ TrOCR reaches very good performance even without fine‐tuning the Vision Transformer. Moreover, fine‐tuning on only several thousand lines is fast (e.,g., it took about 10h to fine‐ tune on the roughly 40k lines from the Republic dataset). ‐ The considerable CER improvement when analyzing the Glagolitic dataset and comparing base and alnum can be explained by the fact that the most difficult task for the models is the expansion of abbreviations containing parentheses “(” and “)”. Since they are filtered out in alnum, the CER goes down. Since TrOCR has a model structure that can connect multiple characters to one optical symbol, the TrOCR improvement is smaller. ‐ Easy training of Pylaia using Transkribus (no programming skills needed), TrOCR is freely available with programming skills, IDA closed source of a company. TrOCR and IDA are trained manually by IT experts, but no hyperparameter optimization has been applied. Methods: Engines: The engines can be separated into three technologies: ‐ Convolutional+LSTM architecture (approx. 3M trainable weights): HTR+, Pylaia. ‐ Convolutional+Conformer architecture (approx. 46M trainable weights): IDA. ‐ Vision‐Transformer+LLM‐Transformer architecture (approx. 558M trainable weights): TrOCR. Since TrOCR uses a Transformer‐Decoder, it directly generates a token/character sequence. Being pre‐trained on hundreds of millions of (synthetic) line images containing English text, it incorporates a strong English language model (LM). All engines except TrOCR are trained using CTC.1 This results in a probability matrix which enables the opportunity to apply an additional/external LM. The LM is trained on pure text, which in our case is the transcription in the training set. This mainly improves the word error rate, but also the character error rate (CER). Comparison: To compare the different HTR engines, we decided to mainly focus on the CER for now. In general for each text line we calculate the Levenshtein‐Distance between hypothesis and ground truth and sum up over all lines. Dividing these errors by the total number of all ground truth characters, results in the CER. Due to the different approaches of the HTR engines, they can have different strengths and weaknesses regarding the characters they can recognize. We decided to evaluate the CER by filtering the ground truth and hypothesis characters to find out these strengths and weaknesses. For simplification we filter by Unicode character categories2. As general normalization we map “


FOLLOW US @ImAFUSA_EU @ImAFUSA The framework and its tools will collect insights influencing societal acceptance of UAM and produce indicators for: Data on citizen noise perceptions, perceptions of visual pollution, safety perceptions and overall UAM acceptance will be collected during 3 immersive citizen experiences of UAM applications in the city of Athens, Greece. In each area, innovative performance indicators will be described while mathematical formulas and algorithms will be developed to quantify them. Impact & Capacity Assessment Framework for U-space Societal Acceptance This project is co-funded by the European Union under Grant Agreement No. 101114776 and supported by the SESAR 3 Joint Undertaking and its founding members. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or SESAR 3 JU. Neither the European Union nor the granting authority can be held responsible for them. ENVIRONMENTAL IMPACT SAFETY IMPACT SOCIOECONOMIC IMPACT Different dimensions for measuring Environmental Impact will be defined like emissions, noise, air quality, visual pollution, etc. New indicators for the wide deployment of U-space services will be developed assesing the Socioeconomic Impact on everyday life. Existing air and ground safety indicators are summarised and combined with user feedback to define UAM Safety Indicators.


I. Ruffa1,2, C. Vignali1,3, A. Mignano2 1University of Bologna, IT, 2INAF-IRA, IT, 3INAF-OABO, IT ALMA  Spherical simmetry of the CO line emitting region; median radius: 6.4 kpc  The HI mass is unknown Following Gilli et al. (2014) Nh = (8.0 ± 0.9) × 1021 cm-2 X-RAY  Flat observed photon index: intrinsic neutral absorber Using a simple, phenomenological model: Nh = (8.3 ± 2.0) × 1022 cm-2 The molecular gas (traced by the CO) may contri- bute only for a fraction to the obscuration observed in X-ray (given the assumptions adopted here) REFERENCES: Carilli & Walter 2013, ARA&A, 51, 105; Downes & Solomon 1998, ApJ, 507, 615; Garcia et al. 2010, ApJ, 718, 695; Garcia et al. 2013, ApJ, 768, 146; Gilli et al. 2014, A&A, 562, 67; Mao et al. 2014, MNRAS, 440, L31; Murphy & Yaqoob 2009, MNRAS, 397, 1549; Norris et al. 2012, MNRAS, 422, 1453; Rigopoulou et al. 1999, AJ, 118, 2625; Spoon et al. 2007, ApJ, 654, L49; Spoon et al. 2009, ApJ 693, 1223 IRAS 00183-7111 (I00183) is an Ultra Luminous Infrared Galaxy (ULIRG) at z=0.327; most of the ULIRGs are known to host a heavily obscured AGN in their nuclear regions. The de- tection of the most heavily obscured sources is crucial to shed light on the obscured accretion phase in black hole growth, the AGN/host-galaxies co-evolution issues, and eventually esti- mate the contribution of these sources to the X-ray cosmic background. We present a study of the multi-frequency properties of I00183, connecting ALMA mm/sub-mm observations with those at high energies (Ruffa et al. in prep.); one of the purposes consists in verifying at what level the gas, traced by the CO, may be responsible for the obscuration observed in X-rays (NH ≈ 2 × 1023 cm-2, Nandra & Iwasawa 2007). I00183 was selected from the top-left region of the so-called Spoon diagnostic diagram (Spoon et al. 2007, black circle in fig. 1); it compares the strength of the 9.7 μm silicate absorption feature and the equivalent width of the 6.2 μm PAH emission feature to investigate about the AGN/starburst components in ULIRGs: the top-left region is populated by the absorption- dominated sources. I00183 is one of the most powerful ULIRGs known: Lbol = 9 × 1012 Lsun, mostly in the far-IR (Spoon et al. 2009). Its K-band image (Rigopoulou et al. 1999) shows a disturbed morpology and a single nucleus, interpreted as signs of a recent merger. This property is typical of ULIRGs: their high IR luminosity is attributed to the merger of two gas-rich spirals which triggers both AGN activity and a powerful nuclear starburst. The high amount of dust accompanying the vigorous starburst activity in I00183 (≈ 220 Msun yr-1, Mao et al. 2014) causes significant extinction to its nucleus (AV≥90, Spoon et al. 2009); for this rea- son, I00183 mid-IR spectrum lacks the typical AGN tracers (e.g. the 7.65 μm [Ne IV], and the 14.3 and 24.3 μm [Ne V]). However, the presence of a powerful AGN source in its nucleus was already established by the X-ray study presented by Nandra & Iwasawa (2007). ALMA observation properties νobs (GHz) Time on target Angular resolution Spectral resolution Band 3 87 79 min 1.8” 90 km/s Band 6 270 118 min 0.8” 2 km/s 260 98 min 0.8” 2 km/s X-ray observation properties Exp. time Obs. date Instrument Chandra 22 ks 13/02/2013 ACIS-S XMM-Newton 22.2 ks 16/04/2003 EPIC PN - MOS 1/2 NuSTAR 115 ks 21/12/2015-26/04/2016 FPMA - FPMB To link the sub-mm to the X-ray properties of I00183, ALMA archival Cycle 0 data in Band 3 and Band 6 were calibrated and analyzed. The X-ray analysis was carried out using Chandra, XMM-Newton, and NuSTAR (courtesy of the PI, K. Iwasawa) data, allowing a broad-band coverage of the X-ray spectrum (0.5 − 30 keV). The multi-frequency observation properties are summarized in table 1. Fig. 1: Spoon diagnostic plot of the equivalent width of the 6.2 μm PAH emission feature versus the 9.7 μm silicate ab- sorption feature, adapted from Spoon et al. (2007). The ga- laxy spectra are classified into nine classes, identified by t


Actividad de ondas ecuatoriales largas durante el evento el Niño 2018-2019 G. Rivera*1, K. Mosquera1, V. Mayta2 1Subdirección de Ciencias de la Atmósfera e Hidrósfera, Instituto Geofísico del Perú, Lima, Perú 2Department of Climate and Space Sciences and Engineering, University of Michigan, MI, USA Introducción Entre octubre de 2018 y julio de 2019, la temperatu ra superficial del mar se mantuvo con valores supe riores a su normal en la región del Pacífico Central y Oriental. Este periodo fue considerado como un evento El Niño, que según Índice Oceánico El Niño (ONI, por sus siglas en inglés), alcanzó la magnitud débil. Asumiendo una propagación de ondas en el prim er modo baroclínico, se logró aislar, en estructuras meridionales, las contribuciones individuales de Kel vin y tres primeros modos de Rossby sobre el nivel del mar (Boulanger y Menkes, 1995 y 1999), donde se identificó la propagación de un paquete de on das en Setiembre del 2018, el cual aparentemente favoreció al inicio de las condiciones cálidas en la región central del Pacífico. Mediante los coeficien tes de proyección meridional, este estudio se cen tra en describir la dinámica y participación de ondas ecuatoriales largas en el evento El Niño 2018/2019. Datos y Método Los datos de nivel del mar L4 fueron obtenidos del CMEMS en una grilla regular de 0.25°. Las anom alías se calcularon con una climatología estacional de 1993-2010; posteriormente, se realizó un filtro pasabanda Lanczos de 20-180 días para aislar la señal interestacional. La descomposición del nivel del mar en estructur as meridionales se realiza usando las expansiones de las soluciones nodimensionales a la ecuación de estado en la aproximación de onda larga y baja fre cuencia. Las estructuras meridionales obtenidas representan el comportamiento meridional del nivel del mar y de las corrientes / esfuerzo de vientos. La multipli cación de los coeficientes de proyección con estas estructuras nos retorna el campo reconstruido para Kelvin (m=0) y Rossby (m=1, 2, 3, ..., n) Resultados Figura 1. Estructuras meridionales para (a) nivel del mar y (b) corrientes / esfuerzo de viento. Referencias Boulanger, J.-P., Menkes, C., 1995. Propagation and reflection of long equatorial waves in the Pa cific Ocean during the 1992–1993 El Niño. Jour nal of Geophysical Research 100, 25041. https:// doi.org/10.1029/95JC02956 Boulanger, J.-P., Menkes, C., 1999. Long equa torial wave reflection in the Pacific Ocean from TOPEX/POSEIDON data during the 1992-1998 period. Climate Dynamics 15, 205–225. https:// doi.org/10.1007/s003820050277 Boulanger, J.-P., 2003. Reflected and locally wind- forced interannual equatorial Kelvin waves in the western Pacific Ocean. Journal of Geophys ical Research 108. https://doi.org/10.1029/ 2002JC001760 Conclusiones Durante el evento 2018-2019, dentro del paquete de ondas Kelvin se logró distinguir la propagación de tres perturbaciones cálidas. Aparentemente, la reflección de ondas Rossby no tuvo una participación mayor en la generación de ondas Kelvin. La culminación del evento estuvo más relacionado a la ausencia de pulsos de vientos del oeste que a la actividad del oscilador atrasado. Agradecimientos Este trabajo utilizó los recursos computacionales, HPC-Linux- Cluster, del Laboratorio de Dinámica de Fluidos Geofísicos Computacionales del Instituto Geofísico del Perú (Subvenciones 101-2014-FOND ECYT, SPIRALES2012 IRD-IGP, Manglares IGP-IDRC, PpR068) Figura 3. Diagramas longitud-tiempo para anomalías observadas de esfuerzo de viento, profundidad de la isoterma de 20°C, nivel del mar y temperatura superficial del mar. Todos los diagramas tienen superpuesto la isoterma superficial de 28.5°C observada (línea sólida) y climatológica (línea rayada). Figura 2. Mapas de coeficientes de regresión lineal para el periodo 1993-2019 entre la serie de tiempo filtrada para 140°W y la anomalía del nivel del mar observado. Se observa la propagación característica de una onda Kel vin y su re


Contacts Investigating Scientific Misinformation Originating from Retracted Publications and Their Perception Juliane Stiller1, Senta Terner2, Violeta Trkulja1 1Grenzenlos Digital e. V., 2Uppsala University 86th Annual Meeting of the Association for Information Science and Technology, 27-31 October 2023, London, UK 1 Dr. Juliane Stiller juliane@grenzenlos-digital.org @stillinsky@mastodon.social The scientific community is built on the principles of transparency and accountability, where published research is subject to scrutiny and open to re-evaluation. One of the mechanisms by which the scientific record is corrected is through retractions (Wray & Anderson, 2018), which signal to the scientific community that a published article contains significant flaws or errors and results cannot be relied upon (COPE, 2019). As retracted papers are often related to erroneous research, we use these to learn more about the relationship between scientific publication and false information and the spread of false information in the media. We distinguish between four different causes of scientific misinformation: 1) information that originally met scientific criteria but is now considered outdated, 2) information produced by scientists either intentionally or due to unintentional errors, 3) information that appears scientific but lacks a scientific basis (pseudoscience), and 4) information that meets scientific criteria but is distorted or falsified in its reception. Introduction 2 3 1 2 3 Different Media Perceptions Use statement of original paper to strengthen claim that masks do not help. Use retraction to strengthen claims that masks do help as paper stating otherwise was retracted. Use statement of original paper to say that more measure than masks are needed. “Smokers are less likely to get Covid” “Masks do not help” Original study is referenced to promote conspiracy myths. Use the study as evidence that the COVID-19 vaccine is dangerous, connected with the call for not getting vaccinated. Retraction is used as a proof that people get silenced if they are critical about vaccinations. Dr. Violeta Trkulja violeta@grenzenlos-digital.org @viokeka@mastodon.social Use Case Analysis Different Contexts Shape the Message DOI publication: 10.7326/M20-1342 Publication date: 06.04.2020 DOI retraction: 10.7326/L20-0745 Retraction date: 07.07.2020 Authors’ Intention are Questioned Communities with Closed World Views • Original Paper is used to back-up different claims • Retraction is used as evidence that claims opposing the claim made in retracted paper are true • Strong conclusion can be a red flag for sensitive topics DOI publication: 10.1183/13993003.02144-2020 Publication date: 07.06.2020 DOI retraction: 10.1183/13993003.02144-2020 Retraction date: 04.03.2021 Discussion The three identified use cases demonstrate the dissemination of scientific misinformation in the public domain. Our investigation specifically focused on scientific misinformation originating from article retractions and how these retractions are perceived and discussed in news outlet articles. We identified four key factors that influence the portrayal of retracted articles and the information presented in these news outlets: 1) the Object of Reception determines whether the article itself or its retraction is discussed within the news outlets, 2) the Characteristics of News Articles determines the depth and extent to which information about the retraction is integrated into the news articles, 3) the Community of Reception pertains to the intended readership or audience of the news article, and 4) the Characteristics of the Publication deals with the potential motives or intentions of the authors behind the publication. Our investigation provides a foundation for further analysis and advances our understanding of how dubious scientific publications are perceived and how scientific misinformation spreads. ALLEA (Eds.). (2021). Fact or Fake? Tackling Science Disinformation (ALLEA


EFEITO DO PERCENTUAL DE PTFE NA ENERGIA ABSORVIDA POR DOSÍMETROS DE CaSO4:Dy Isabella Pereira Tobias1, Lucas Wilian Gonçalves de Souza1, Samara Pavan Souza1, William Souza Santos1, Ana Paula Perini1,2, Lucio Pereira Neves1,2 1Programa de Pós-Graduação em Engenharia Biomédica, Universidade Federal de Uberlândia, Uberlândia, Brasil. 2Instituto de Física, Universidade Federal de Uberlândia, Uberlândia, Brasil. 1. INTRODUÇÃO O dosímetro de radiação é um dispositivo, instrumento ou sistema que mede, direta ou indiretamente, as doses de radiação ionizante [1]. O sulfato de cálcio dopado com disprósio (CaSO4:Dy) possui várias aplicações no campo de dosimetria das radiações ionizantes devido à sua facilidade de preparação, em comparação com muitos outros dosímetros termoluminescentes (TL) [2]. 2. MATERIAIS E MÉTODOS O Monte Carlo N-Particle 6 (MCNP6) é um código em Fortran desenvolvido pelo Los Alamos National Laboratory (LANL) para a simulação do transporte e interação da radiação com a matéria [3]. A energia depositada em cada dosímetro em MeV/g/partícula foi contabilizada utilizando-se o Tally F6 do código MCNP6. Foram simuladas 1x109 histórias para garantir incertezas menores que 1%. O espectro de raios-X foi gerado no programa SRS 78 [4] com os seguintes parâmetros: energia de 90 keV, ângulo anódico 12°, filtração de 2,5 mmAl e campo circular com 15 cm de raio. Tabela 1. Densidade do dosímetro em função do percentual de PTFE. 3. RESULTADOS E DISCUSSÕES Os resultados de energia absorvida por cada dosímetro CaSO4:Dy+PTFE normalizados pela energia absorvida pelo dosímetro de ar são apresentados na Fig. 2. Observa-se que no intervalo entre 10% e 20% de PTFE, a energia absorvida aumenta. Entre 20% e 100% ocorre uma redução da energia absorvida. 4. CONCLUSÃO A resposta relativa do dosímetro para concentrações parciais sob a irradiação de fótons foi que a menor absorção verificou-se para a amostra com maior taxa de PTFE. Embora a melhor resposta do dosímetro ocorreu pra concentrações de PTFE entre 10% a 20%, ainda se fazem necessários estudos adicionais para aferir a utilização desse dosímetro em dosimetria das radiações. Gráfico 1. Geometria simulada, em 1 está localizada a fonte, 2 é o feixe de partículas e 3 o dosímetro irradiado. Percentual do PTFE (%) Densidade (g/cm3) 10 2.89 20 2.80 30 2.72 40 2.64 50 2.57 60 2.50 70 2.43 80 2.37 90 2.31 100 2.25 REFERÊNCIAS BIBLIOGRÁFICAS [1] W. L. McLaughlin et al “Dosimetry for radiation processing”, 1989. [2] Kamal, S. M.; Gerges, A.; AL-SAID, M. Thermoluminescence properties of home-made caso 4: Dy for dosimetry purposes. 2004. [3] R. J. McConn, J. G. Gesh, R. T. Pagh, R. A. Rucker, e R. Williams III. Compendium of material composition data for radiation transport modeling. No. PNNL-15870 Rev. 1. Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2011. [4] J.-K. Chang, Y.-M. Nam, J.-L. Kim, S.-Y. Chang, e B.-H. Kim. "Calculated energy dependence of CaSO4: Dy TL phosphor and phosphor embedded Teflon for X and gamma rays," Rad. Meas., vol. 33, pp. 675-678, 2001.


Rebooting the Research Data Management Program: The First Year and Looking Ahead Objective and Introduction The University of Connecticut Library had an inactive program for research data management education until it hired two new librarians in June 2017 to fulfill this role. The goal of our position is to work as science librarian liaisons and to provide programming, education, and outreach around the subject of research data management. Our poster will outline the three areas of activities that we undertook as a team to meet our objective of relaunching the RDM program. These three areas are: • Needs assessment • Skill building • Workshop and event planning Our goal of presenting this poster is to elicit feedback and to start a conversation about the role of research data management librarians in developing academic library workshops and programming. Researcher Interviews We interviewed 8 researchers from the UConn science community. What were the takeaways? • We learned that researchers need help with storage options for their research. • Researchers are unsure of what resources are available to help them with DMP plans and storage • Professors want workshops about research data management and version control for their students. Our questionnaire was based upon: Read, K. B., Surkis, A., Larson, C., McCrillis, A., Graff, A., Nicholson, J., & Xu, J. (2015). Starting the data conversation: informing data services at an academic health sciences library. Journal of the Medical Library Association : JMLA, 103(3), 131–135. http://doi.org/10.3163/1536- 5050.103.3.005 Needs Assessment: Environmental Scan • Survey of 16 peer and aspirant institutions: • Assessed services, classes, and events offered • Phone interviews with librarians from the peers/aspirants list • Selected literature review • Site visits to other data librarians What we learned: • the state of RDM at libraries varies greatly • seeing that others are in the same position of starting a program is helpful and reassuring • seeing what others are achieving is inspirational • To be successful we need strong advocacy and financial support from our institution • We also need help with advocacy and connections with other departments/campus units • We need to expand our services to build the program and to be competitive with other institutions • We also need to be mindful of what works for this library and this institution • Some institutions have librarians do programming, and others have researcher/PHDs do data topics instruction - we found this more often than expected. • We need to consider what training we need or what partnerships to develop to bring the needed programming to our institution Community Building We established relationships with community partners such as: • Connecticut Data Collaborative • New England Library Carpentries (NESCLIC) • City of Hartford Skill Building • NNLM/NIH Biomedical and Health Research Data Management for Librarians course • Carpentries' Instructor certification • New England Research Data Management Roundtables • Renee attended August 2018 Carpentries training at the University of Calgary • Force11 Scholarly Communications Institute: Summer 2019 Conclusion We have found that establishing a vibrant research data program requires being proactive and taking a scaffolded, multi-pronged approach. It is important to conduct outreach to different communities (graduate students, faculty, student groups, non-profits, city departments, etc.) in order to maximize your effectiveness. Past Events Open Data Salon, Hartford Public Library For this event, we invited ten people: UConn researchers, librarians, data journalists, city employees, and non-profit educators, all of whom use open municipal data in their work, to present at the UConn location in downtown Hartford. UConn Hartford's library is located inside the Hartford Public Library, which provides for opportunities for outreach to Harford residents. Tyler Kleycamp, the Chief Data Officer


Domain Researchers Software Engineers JUPYTER-IDE [ALSO] HAS: a short primer and example of literate programming for research contexts a self-paced tutorial on the Git extension and version control a curated list of extensions with tutorials giving users access to featurs like language server processing REPO BACKGROUND Research software engineers exist on a continuum of different backgrounds and skill sets, often using different tools and approaches for programming. Preferred development platforms each have their own advantages which cater to various users, but when programmers collaborate closely it can be beneficial to use a shared platform to encourage the shared use of shared practices. JupyterLab, an extensible platform, is capable of supporting a wide variety of development approaches and practices. We propose JupyterLab as an ideal platform for collaboration among programmers that prefer platforms ranging from Jupyter Notebooks to more traditional IDEs. We introduce JupyterIDE, a set of tutorials to assist interdisciplinary teams in converging on a set of shared best practices centered around JupyterLab. Domain Researchers Software Engineers Branches Tags New Branch Filter Changes History Summary (required) Commit import cv2 import PIL import numpy as np wellspelt_var = cv2.imread(“path/to/file.jpg”) wellspelt_array = np.array(misspelt_var) Code Python 3 (ipykernel) Severity SOLUTION JupyterIDE provides short modules explaining core software development practices, like Git version control, implemented in JupyterLab. For individuals who want more features in JupyterLab, there are independent modules explaining other features available through curated extensions for JupyterLab. Lastly, there is a short primer on the intersection of iterative and literate programming approaches that is designed with research contexts in mind. may benefit from a solid understanding of basic version control can benefit from a shared coding paradigm for research software may want a development tool with more features Now we will import a test image from our data folder. In this case, we will use an image which is not too far from our other manuscripts. The page will not have any significant blemishes, just to see if we can get a standard preprocessing method going. We will also convert it to a numpy array to test some specific methods. With this image, we will try a couple different ‘kernel’ sizes for the different convolutions we will be using for any number of different tasks like edge extraction, binarization, and so on. We will also test a number of different boundary conditions to see if we end up served better with one of them or another. First, we will use the cv2 library for edge extraction. You can see below some of the different methods already built into the library for this sort of purpose. ACKNOWLEDGMENTS This work was supported by the Better Scientific Software Fellowship Program, funded Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the DOE or NSF. by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy (DOE) Office of Science and the National Nuclear Security Administration; and by the National Science Foundation (NSF) under Grant No. 2154495. JupyterIDE JupyterIDE Promoting JupyterLab features and Promoting JupyterLab features and extensions that facilitate collaboration extensions that facilitate collaboration among researchers and RSEs among researchers and RSEs dcostel5@asu.edu nbrewer6@asu.edu nshah50@asu.edu David Costello Nicole Brewer Namita Shah POTENTIAL NEEDS: File Edit View Run Kernel Settings Tabs Current Repository jupyterlab-ide Current Branch main main thresholding preProcessingInterface test.ipynb sensitiveData Changed Staged Untracked (0) (1) (1) Description test.ipynb Diagnostics Panel Message Code Source Cell Line Ch pyflakes mypy pyflakes PIL importe


Towards a Green Detergent Discovery by cell-free protein synthesis and biochemical characterization of thermostable glycerol oxidases O2 H2O2 Lars L. Santema, Laura Rotilio, Ruite Xiang, Gwen Tjallinks, Victor Guallar, Andrea Mattevi & Marco W. Fraaije A sticky situation The market size of detergents in 2020 was roughly 7 billion USD[1]. A substantial portion of these detergents ultimately enters waste- water streams, and owing to their limited biodegradability, they contribute to the decline of natural water quality[2]. Especially chemicals used for antibacterial properties are harmful for the environment. To avoid the use of these chemicals, we sought out to find new glycerol oxidases to create hydrogen peroxide as bactericidal agent in detergents. By integrating in silico biopros- pecting, cell-free protein synthesis and activity screening, an effective pipeline was developed to rapidly identify glycerol oxidases. Characterization [1] Liquid Laundry Detergent Market Size Report ID: FBI102962 [2] Mousavi S. A. & Khodadoost F. (2019) Effects of detergent on natural exosystems and wastewater treatment processes: a review. Environmental Science and Pollution research 26, 26439 - 26448 [3] Heuts, D. P. H. M., Hellemond, E. W. van, Janssen, D. B., & Fraaije, M. W. (2007). Discovery, characterization, and kinetic analysis of an alditol oxidase from Streptomyces coelicolor. J Biol Chem 282:20283–20291. https://doi.org/10.1074/jbc.M610849200 [4] Winter, R. T., Heuts, D. P. H. M., Rijpkema, E. M. A., van Bloois, E., Wijma, H. J., & Fraaije, M. W. (2012). Hot or not? Discovery and characterization of a thermostable alditol oxidase from Acidothermus cellulolyticus 11B. Appl Microbiol Biotechnol 95:389–403. https://doi.org/10.1007/s00253-011-3750-0 Steady-state kinetics are everything Blast Search Substrate simulations In vitro expression coupled with an HRP assay Activity ‘proven’ in a few hours! Neg Tf St Ab Ch 6 7 8 9 6 5 7 0 7 5 8 0 8 5 9 0 M e ltin g te m p e ra tu re s pH T e m p e ra tu re ( C ) A ldO A b A ld O C h A ldO S t A ldO Tf V 2 5 8 L _ P 2 5 9 I Organism of origin Yield (mg/L culture) KM (mM) kcat (s-1) kcat/ KM (M-1 s-1) references xylitol glycerol xylitol glycerol xylitol glycerol AldOSc S. coelicolor 350 (but a low thermostability) 0.32 350 13 1.6 4.1 x 104 4.6 Heuts et al. 2007[3] AldOAc A. cellulolyticus 2,5 0.07 270 1.9 1.3 2.7 x 104 4.8 Winter et al. 2012[4] AldOAb A. bacterium 75 0.03 184 4.2 2.6 14 x 104 14 this study AldOCh T. chromogena 30 0.04 143 3.5 2.0 12 x 104 14 this study AldOSt S. thermoviolaceus 71 0.02 523 1.9 4.2 9.5 x 104 8 this study AldOTf T. flexuosa 300 0.03 50 3.1 1.6 10 x 104 32 this study V258L_P259I AldOTf T. flexuosa 300 0.04 41 4.3 4.0 11 x 104 98 this study V257L_P258I AldOAb A. bacterium 72 n.d. 157 n.d. 1.4 n.d. 9 this study 1.5 Å resolution structure of AldOAb Room for improvement Conclusion Our Lab About me Read details soon! Manuscript submitted Protein Energy Landscape Exploration V258L P259I • A new pipeline was developed by integrating computational bioprospecting, in vitro expression and an oxidase assay to quickly discover novel glycerol oxidases. • Three thermostable alditol oxidases active on glycerol where found (from Actinobacteria bacterium, Streptomyces thermoviolaceus, and Thermostaphylospora chromogena). • A high resolution crystal structure of the alditol oxidase from the Actinobacteria isolate was obtained. • A structure-inspired double mutant of the alditol oxidase from Thermopolyspora flexuosa was engineered and found to be the most efficient glycerol oxidase known. More!


@ F A C E I TA rc t i c @ F A C E I TA rc t i c @ fa c e _i t _a rc t i c @ The F A C E -I T Pro j e c t www.face-it-project.eu FACE-IT has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869154. Historical changes in biomass, total abundance, and species composition of seaweed-associated fauna in Kongsfjorden, Svalbard Simon Jungblut1, Jessica Niklass2, Markus Brand3, Christian Buschbaum4, Martin Paar5, Inka Bartsch6, Markus Molis2 1Marine Botany, University of Bremen, Germany 2Department of Arctic and Marine Biology, The Arctic University of Norway, Tromsø, Norway 3Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Helgoland, Germany jungblut@uni-bremen.de Ice loss is changing zonation patterns The shift from sea- to land-terminating glaciers causes changes in sediment loads (i.e., underwater light climate) and less ice- scouring (i.e., disturbance) in shallow-water benthic communities. Sea urchins are the dominant grazers At Hansneset, Kongsfjorden (Svalbard), kelps (brown algae) profound changes in macroalgae seaweed biomass and species composition have been found. Abundance individuals * m-2 Biomass ash-free dry weight g * m-2 Seaweeds provide habitat for many associated animals Hypothesis: Seaweed- associated fauna is changing concomitantly to the changes observed in seaweeds in 1) biomass, 2) abundance and 3) taxon composition. Fauna taxonomic composition 1996/98 ≠ 2012/13 ≈ 2021 depth dependent year independent Total fauna biomass & abundance 1996/98 ≈ 2021 in 2012/13 only about 50% Fauna biomass 1996/98: 2.5 m < 15 m 2012/13: 2.5 m > 15 m 2021: peak at 5 m Biomass 2012/13 → 2021 Cirripeds increased Bryozoans decreased Düsedau et al. (in prep.) 4Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, List/Sylt, Germany 5University of Rostock, Germany 6Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany


2017 SIAM Conference on Computational Science and Engineering (CSE17) This work is supported by the U.S. Department of Energy Office of Science, ASCR and BER programs. CSE Complete: R&D for Productivity Improvement M. Heroux, L.C. McInnes, D. Bernholdt, J. D. Moulton Goal: Improve CSE application developer productivity and software sustainability, as key aspects of increasing overall scientific productivity www.ideas-productivity.org We are actively soliciting contributions to the BetterScientificSoftware site, see https://github.com/betterscientificsoftware/betterscientificsoftware.github.io • Software Challenges: Exploit massive on-node concurrency and handle disruptive architectural changes while working toward predictive simulations that couple physics, scales, analytics, and more • Strategy: In collaboration with CSE community • Customize and curate methodologies for ECP application productivity and sustainability • Create an Application Development Kit of customizable resources for improving scientific software development • Partner with application teams on software improvements • Training and outreach in partnership with computing facilities IDEAS-ECP team: Catalysts for engaging CSE community on issues in productivity and sustainability • Partnerships with ECP applications teams • Understand productivity bottlenecks and improve software practices • Collaborate to curate, create, & disseminate software methodologies, processes, and tools that lead to improved scientific software • Software Carpentry-type approach to training for extreme-scale software productivity topics • Web-based hub for collaborative content development & delivery • Community-driven collection of resources to improve scientific software productivity, quality, and sustainability History and Accessibility IDEAS: Interoperable Design of Extreme-scale Application Software • Project began in Sept 2014 as ASCR/BER partnership to improve application software productivity, quality, and sustainability Resources: https://ideas-productivity.org/resources Highlights: • WhatIs and HowTo docs: concise characterizations & best practices • What is CSE Software Testing?  What is Version Control? • What is Good Documentation?  How to Write Good Documentation • How to Add and Improve Testing in a CSE Software Project • How to do Version Control with Git in your CSE Project • Webinar series, 2016: Best Practices for HPC Software Developers (slides and videos) • What All Codes Should Do: Overview of Best Practices in HPC Software Development • Developing, Configuring, Building, and Deploying HPC Software • Distributed Version Control and Continuous Integration Testing • Testing and Documenting your Code  more topics … IDEAS-ECP team: Michael Heroux (SNL), Co-Lead PI Lois Curfman McInnes (ANL), Co-Lead PI David Bernholdt (ORNL), Co-PI, Outreach Lead Todd Gamblin (LLNL), Co-PI Osni Marques (LBNL), Co-PI David Moulton (LANL), Co-PI Boyana Norris (Univ of Oregon), Co-PI Satish Balay (ANL) Roscoe Bartlett (SNL) Anshu Dubey (ANL) Rinku Gupta (ANL) Christoph Junghans (LANL) Alicia Klinvex (SNL) Reed Milewicz (SNL) Mark Miller (LLNL) Elaine Raybourn (SNL) Barry Smith (ANL) Louis Vernon (LANL) Greg Watson (ORNL) James Willenbring (SNL) Lisa Childers (ALCF) Rebecca Hartman-Baker (NERSC) Judy Hill (OLCF) Hai Ah Nam (LANL) Jean Shuler (LLNL) Facilities Liaisons Approach Phase-1 release: Spring 2017 Productivity and Sustainability Improvement Plans and Progress Tracking Cards Framework for software teams to identify, plan, and track improvements in productivity and sustainability Progress Tracking Card: Test Coverage Other practices: Source management system, documentation, software distribution, issue tracking, developer training, etc. • "What Is" doc: defines terms and concepts in a particular topic area. • "How To" doc: describes a process for improving productivity & sustainability. • Original experience: original article for informing the CSE community about how to impro


Generalized Likelihood Ratio (GLR) : As parameters are unknown, we have to estimate them by maximum of likelihood under both hypothesis. Under H , we estimate the mean of the ₀ speckles and the covariance matrix, and under H , we estimate ₁ the mean of the speckles, the covariance matrix and the flux of the planet. We then compute the Likelihood Ratio which leads to the following statistic of test : When there is a planet, the determinant of the covariance matrix under H will be smaller than the one under H as the signature ₁ ₀ of the planet is not retrieved under H . Thus, the threshold will be ₀ superior when there is a planet. Neyman Pearson Test : In order to get the maximum theoretical performance, we build a Neyman Pearson test. It is the hypothesis test when all parameters are known. It leads to the following statistic of test : This statistic is thus a adapted filter applied on patches. Exoplanets detection by direct imaging using statistical learning Romain MAYER*, David MARY*, Élodie CHOQUET** * Lagrange (UCA, OCA,CNRS), Nice ** LAM, Marseille romain.mayer@oca.eu +33688448046 www.linkedin.com/in/ romain-mayer TOPIC AND CONTEXT OF THE PROJECT STATISTICAL LEARNING RESULTS ON 1D SIMULATIONS Modelisation : Each patch is modeled under both hypothesis : Under H (lack of planet) , a patch is composed from the ₀ mean of speckles μ and the noise ε, assumed Gaussian with covariance C. Under H , there is the signature of a potential planet : it is the ₁ PSF multiplied by the flux α . Objective : We build a new exoplanet detection algorithm based on statistical methods applied to spatial imagery data (from JWST and VLT/SPHERE). This field has already been explored through different methods, like the PACO¹ algorithm. The goal of our work is to compare and combine statistical learning approaches and machine learning methods, to set up an innovative hybrid method. Statistical method : We apply three hypothesis test by maximum of likelihood ratio on each pixel of an image considering the hypothesis whether there is a planet (H ) or not ₁ (H ). ₀ Patches construction: We use Angular Differential Imaging observations to get F frames over time centered on a studied star. Given the rotation of the earth, a potential planet will rotate around the star. We will consider patches (square of size K*K) centered on the studied pixel, Consequently each pixels and associated patches will rotate frame by frame. Using the projection of each patch on the frames, we get F patches per frame. We also note that patches will overlap each other over time. 1 2 F Projection of the first patch on frame 2 Projection of the first patch on frame F Simulation : In a first place, we simulate 1D-patches to test our methods. We want to compare three GLR methods (with more or less simplified assumptions) and the Neyman Pearson test. We thus implement: ● The Neyman Pearson test (dotted curves) ● The Global GLR (green curves) by not making the assumption of spatial independence between the patches ● The Spatial GLR (yellow curves) by making the assumption of spatial independence ● The Simplified GLR (blue curves) where we do not distinguish the two hypothesis. We distinguish a case without overlap and a case with strong overlap to see the impact it has on the performance of the methods ROC curves in case of no overlap ROC curves in case of strong overlap θ PSF of a planet Speckles RGLR= det( ^C0) det( ^C1) RNP=∑ f=1 F hf C −1(r f−μ) H0: r f=μ +ϵf 0 H 1: r f=μ +α∗PSF +ϵf 1 with ϵf i∼N(0,Ci) Results : We observe first that the Simplified GLR performance deteriorates when we increase the rate of overlap. Indeed, the mean of the speckles is not estimated under each hypothesis by this method. Thus the signature of a potential planet highly contaminate the estimation of μ when the overlap increases. The Global GLR is less efficient when there is no overlap as it leads to estimate a huge matrix of covariance. The Spatial GLR appears to be a good compromise as it assumes the


Exploring CP sensitivity in the presence of Lorentz invariance violations at T2HK/T2HKK Supriya Pan1 Srubabati Goswami 1 Kaustav Chakraborty 1 1Physical Research Laboratory, Ahmedabad, Gujarat, India Abstract Breaching of Lorentz invariance can lead to CPT violations. Conservation/violation of CP symmetry in leptonic sector is essential in understanding the universe’s evolution. We examine how CPT-violating LIV parameters aeµ, aeτ, aµτ impact CP violation within two proposed setups for the forthcoming T2HK experiment: (i) individual detectors placed at 295 km and 1100 km [T2HKK], and (ii) a detector with double capacity positioned at 295 km [T2HK]. We explore[1] the role of different beam channels and baseline and their synergy in the context of CP sensitivity. Lorentz Invariance Violations (LIV) The total Hamiltonian in presence of LIV is given by, H = 1 2E  U    0 0 0 0 ∆21 0 0 0 ∆31   U† +    A 0 0 0 0 0 0 0 0     + HLIV , (1) A = 2E √ 2GFNe = 7.6 × 10−5ρ(g/cc)E(GeV) eV2, GF: Fermi Constant, Ne: No. density of e−in matter, ρ: matter density. HLIV =   aee aeµ aeτ a⋆ eµ aµµ aµτ a⋆ eτ a⋆ µτ aττ  −4 3E   cee ceµ ceτ c⋆ eµ cµµ cµτ c⋆ eτ c⋆ µτ cττ   (2) aαβ: CPT violating, cαβ: CPT conserving. Oscillation Probability Pµe = 2αs13 sin 2θ12 sin 2θ23 sin[ ˆA∆] ˆA sin[( ˆA −1)∆] ˆA −1 cos(∆+ δ13) + 4s2 13s2 23 sin2[( ˆA −1)∆] ( ˆA −1)2 + P aeµ µe + P aeτ µe (3) Pµµ = 1 −sin2 2θ23 sin2 ∆+ P aµτ µµ (4) P aeµ µe ≃4|aeµ| ˆA∆s13 sin 2θ23 sin ∆ √ 2GFNe [Zeµ sin ψeµ + Weµ cos ψeµ](5) P aeτ µe ≃4|aeτ| ˆA∆s13 sin 2θ23 sin ∆ √ 2GFNe [Zeτ sin ψeτ + Weτ cos ψeτ](6) P aµτ µµ = 4|aµτ| ˆA∆sin 2θ23 sin ∆ √ 2GFNe [Zµτ cos φµτ + Wµτ cos φµτ](7) where ∆= ∆31L/4E, α = ∆21/∆31, ˆA = 2 √ 2GFNeE/∆31, sij = sin θij, cij = cos θij, ψeµ = δ13 + φeµ, ψeτ = δ13 + φeτ Zeµ = −cos θ23 sin ∆, Weµ = c23(s2 23 sin ∆ ∆.c2 23 + cos ∆) (8) Zeτ = sin θ23 sin ∆, Weτ = s23(sin ∆ ∆ −cos ∆) (9) Zµτ = −sin2 2θ23 cos ∆, Wµτ = −cos2 2θ23 sin ∆ ∆ (10) Pµe[2] depends on aeµ, aeτ and their respective phases. Pµµ[2, 3] depends on aµτ and φµτ at leading order. Tokai to Hyper-Kamiokande (T2HK) and Tokai to Hyper-Kamiokande and Korea (T2HKK) Figure 1. Schematic of T2HK and T2HKK experiment [neutrino.skku.edu] T2HK[4]: Detector of 374 kt at 295 km (2.5◦off-axis beam) in Hyper-K site. The 1st oscillation maxima is at 0.6 GeV. T2HKK[5]: One Detector of 187 kt at 295 km in Hyper-K site and another similar detector in Korea at 1100 km (1.5◦ off-axis beam), the 2nd oscillation maxima is at 0.6 GeV. 1.3 MW beam with an exposure of 27 × 1021 POT. Channel 295 km 1100 km νe Appearance 3.2%(5%) 3.8%(5%) νµ Disappearance 3.6%(5%) 3.8%(5%) ¯νe Appearance 3.9%(5%) 4.1%(5%) ¯νµ Disappearance 3.6%(5%) 3.8%(5%) Table 1. The signal (background) normalization uncertainties Numerical Analysis GLoBES[6, 7] has been used with the values in tables 1,2. Parameter True Value Marginalization Range θ12 33.4◦ N.A. θ13 8.62◦ N.A. θ23 49◦ (39◦, 51◦) δ13 (−180◦, 180◦) 0◦, 180◦ ∆21 7.4 × 10−5 eV2 N.A. |∆31| 2.5 × 10−3 eV2 (2.4, 2.6) × 10−3 eV2 aαβ 10−23 GeV (10−22, 10−24) GeV φαβ (−180◦, 180◦) 0◦, 180◦ Table 2. True values and range of marginalization of all the parameters Single Detector Analysis 295 km (δ13 test,φeμ test):0°,180° Fixed: aeμ:10-23GeV True: θ23:49°,δ13:-90°,φeμ:180° Δ χ2 0 20 40 60 80 100 θ23 test (°) 40 42 44 46 48 50 295 km Fixed: θ23:49° (δ13 test,φeμ test):0°,180° True: δ13:-90°,φeμ:180°,aeμ:10-23GeV Total νe νμ νe νμ Δ χ2 20 40 60 80 100 aeμ test (× 10-23 GeV) 0 2 4 6 8 10 Total νe νμ νe νμ 1100 km (δ13 test,φeμ test):0°,180° Fixed: aeμ:10-23GeV True: θ23:49°,δ13:-90°,φeμ:180° Δ χ2 0 20 40 60 80 100 θ23 test (°) 40 42 44 46 48 50 1100 km Fixed: θ23:49° (δ13 test,φeμ test):0°,180° True: δ13:-90°,φeμ:180°,aeμ:10-23GeV Δ χ2 20 40 60 80 100 aeμ test (× 10-23 GeV) 0 2 4 6 8 10 Figure 2. Sensitivity of CP conservation versus θtest 23 (left) and atest eµ (right) The marginalization in θ23, aαβ enhances sensitivity. Major contribution of χ2 comes from νe, ¯νe channels and ν


LevyfemtoscopywithPHENIXatRHIC QM2019 - XXVIIIth International Conference on Ultra-relativistic Nucleus-Nucleus Collisions Brett Fadem for the PHENIX Collaboration The PHENIX experiment at RHIC West Beam View PHENIX Detector 2010 East MPC RxNP HBD PbSc PbSc PbSc PbSc PbSc PbGl PbSc PbGl TOF-E PC1 PC1 PC3 PC2 Central Magnet TEC PC3 BB RICH RICH DC DC Aerogel TOF-W 7.9 m = 26 ft • Collisions of various nuclei, 7.7 −200 GeV/nucleon • Charged pion ID from ∼0.2 to 2 GeV/c • Pair reconstruction (in q = p1 −p2) from ∼10 MeV/c Bose-Einstein correlations map out the femtometer source • N1(p), N2(p1, p2), N3(p1, p2, p3), . . . - invariant momentum distributions, the deﬁnition of the correlation function: Cn(p1, . . . , pn) = Nn(p1, . . . , pn) N1(p1) · · · N1(pn), where Nn(p1, . . . , pn) = Z S(x1, p1) · · · S(xn, pn)|Ψsymm n (x1, . . . , xn)|2d4x1 · · · d4xn • S(x, p) source function (usually assumed to be Gaussian - Levy if more general, c.f. anomalous diﬀusion) • Ψ2 two-particle wave function - interaction free case: |Ψ2|2 = 1 + cos(qx) • Leads to eS, the Fourier-transformed of S; if S normalized: C2(q, K) ≃1 + eS(q, K) 2 , eS(q, K) = Z S(x, K)eiqxd4x, q = k1 −k2, K = (k1 + k2)/2, q ≪K Final state interactions, resonances to take into account • Identical charged pions: Coulomb interaction distort the simple picture • Diﬀerent methods of handling, e.g. Coulomb-correction factor: CB-E(q) = K(q) · Cmeas.(q) • Two-component pion source: S = Score + Shalo – Primordial pions: Core ≲10 fm – Resonance pions - from very far regions: Halo – Observed Cn(q →0) = 1 + λn ̸= 2 – Measure: √λ2 = fc = core/(core+halo) – Resonances reduce corr. func. [1, 2] – Cross-check: √λ3 = 3f 2 c + 2f 3 c [3] – Introduce κ3 = 0.5(λ3 −3λ2)/√λ2 3 ≡1 – If partial coherence: possible deviations, κ3 ̸= 1? 1 2 1+ core core+halo unresolvable region C(q) The Levy-distribution as source function • Expanding hadron resonance gas, increasing mean free path →Levy-ﬂight • Anomalous diﬀusion, generalized central limit theorem →Levy-distribution L(α, R, r) = (2π)−3 Z d3qeiqre−1 2 |qR|α, α = 1 : Cauchy, α = 2 : Gauss • Shape of the correlation function [4]: C2(|q|) = 1 + λ · e−(R|q|)α with |k| = |q|/2 • Critical behaviour is described by critical exponents • Spatial correlation ∝r−(d−2+η) →deﬁnes η exponent • Symmetric stable distributions (Levy) lead to source ∝r−1−α  α ≡critical exponent η • QCD universality class ↔3D Ising [5, 6] nη(CEP) = 0.03631(3) (3D Ising) [7] η(CEP) = 0.5 ± 0.05 (random ﬁeld 3D Ising) [8] Levy exponent α vs. mT • Levy source: statistically valid description in 1D & 3D • Far from Gaussian (α = 2) and expo. (α = 1) • Far from rfd.3D Ising value at CEP (α = 0.5) • See more details in Ref. [9, 10] Levy exponent α vs. centrality • Clear decrease of α for central collisions • All far from Gauss (α = 2) and CEP (α = 0.5) • See more details in Ref. [11] Correlation strength λ vs. mT { • Core-Halo model: √ λ = core/(core + halo) • Small mT -decrease: in-medium η′ mass reduction? • See more details in Ref. [9] Levy exponent α vs. √sNN [GeV] NN s 10 2 10  1 1.1 1.2 1.3 1.4 1.5 [GeV]: NN s ]: 2 [MeV/c T m ∆ 14.6 300 19.6 300 27 200 39 150 62.4 50 200 12 +  +  + - - , 2 = 0.420 GeV/c 〉 T m 〈 PHENIX 0-30% Au+Au, PH ENIX preliminary • No clear collision energy dependence • All far from Gauss (α = 2) and CEP (α = 0.5) • See more details in Ref. [12] Chaoticity analysis via κ3 • If pure core-halo model: κ3 ≡1 • Deviations: coherence or other phenomena [3] • If partially coherent production: ⇒κ3 < 1 • Results so far compatible with chaotic π production • See more details in Ref. [13] Summary • Levy femtoscopy at √sNN = 200 GeV – Statistically acceptable description, far from Gaussian – 1D and 3D ﬁts yield similar results – α far from CEP value – 3π analysis: chaoticity & core-halo assumptions valid – Decrease of λ at small mT : resonance eﬀects – In-medium η′ mass modiﬁcation? • Centrality and collision energy dependence – Clear centrality dependence of α – No stro