fairdataihub/poster-sentry-training-data huggingface dataset:
BIBLIOGRAPHICAL DATA WORKING GROUP For decades bibliographical information has been among the most widely-used resources in the humanities. “Bibliographical Data” Working Group aims to foster cooperation between all the parties involved in bibliographic data life cycle in the humanities, especially between data creators, curators, researchers, developers, and theorists of documentation and bibliography. Data preparation for advanced research Facilitating international data-based cooperation Methodological issues Publishing bibliographies Processing bibliographic metadata Remediation of bibliographical information Development of user-oriented services IF YOU INTERESTED IN THE WG, PLEASE CONTACT US: Tomasz Umerle: tomasz.umerle@ibl.waw.pl Vojtěch Malínek: malinek@ucl.cas.cz @bibliodataWG Bibliographical Data Landscape Analysis Report data production and use analysis challenges and opportunities for public stakeholders crucial stakeholders public and private dimensions of the landscape Goals for 2020: MISSION STATEMENT: bibliodata software bibliodata in research bibliodata and scholarly primitives Bibliographical Data Workflows - Workshop advocating for a joint public stakeholders agenda bibliodata and LOD subject bibliographies Web archiving discovery platforms for bibliodata AREAS OF INTEREST 25th November 14:00 MORE INFORMATION ABOUT THE WORKSHOP AT: https://dariah-ae-2020.sciencesconf.org/309669
SWEET-cat: The cat is still sweeter! A catalog of stellar parameters for stars with planets Sérgio G. Sousa et al. Instituto de Astrofísica e Ciências do Espaço & Centro de Astrofísica da Universidade do Porto Abstract: This is a story of two cats that discover that astronomers have presented a sweet cat. What is this sweet cat? Are there cats in other worlds? Is there something more, something else? Top left: The metallicity distributions for two different populations classified according to the higher planetary mass in the system: low-mass planet hosts (LMPH: 99 planet hosts), and high-mass planet hosts (HMPH: 771 planet hosts) with homogeneous parameters from SWEET-Cat. The mass separation value is 30 earth masses. The very well known metallicity correlation is very clear for massive planet hosts, while stars hosting only low massive stars seems to be no different from the general population of stars. Top right: The updated version of SWEET-Cat contains accurate determination of surface gravities (orange points) which are computed using GAIA astrometry and photometry. For details, please see Sousa et al. 2021. Bottom right: Using the updated homogeneous spectroscopic parameters listed in SWEET-Cat we can still find a correlation in the metallicity-period-mass diagram hinting that the mass of planets increase with the period and the metallicity. This trend cannot be fully accounted by observational bias as demonstrated in Sousa et al. 2019. References: Sousa, S.~G., Adibekyan, V., Delgado-Mena, E., et al.; 2021; A&A, 656, A53. doi:10.1051/0004-6361/202141584 Sousa, S.~G., Adibekyan, V., Santos, N.~C., et al.; 2019; MNRAS, 485, 3981. doi:10.1093/mnras/stz664 Sousa, S.~G., Adibekyan, V., Delgado-Mena, E., et al.; 2018, A&A, 620, A58. doi:10.1051/0004-6361/201833350 Andreasen, D.~T., Sousa, S.~G., Tsantaki, M., et al.; 2017, A&A, 600, A69. doi:10.1051/0004-6361/201629967 Sousa, S.~G., Santos, N.~C., Mortier, A., et al.; 2015, A&A, 576, A94. doi:10.1051/0004-6361/201425227 Santos, N.~C., Sousa, S.~G., Mortier, A., et al.; 2013, A&A, 556, A150. doi:10.1051/0004-6361/201321286 Acknowledgments: Sérgio G. Sousa aknowledges the support from FCT through Investigador FCT contract nr. CEECIND/00826/2018 and POPH/FSE (EC). Check our last paper:
1 Georgia State University, 2 European Space Agency, 3 University of Hawaii Varun Chaturmutha1, Bernhard Fleck2, Stuart Jefferies1,3 Probing the Atmosphere of the Sun-As-A-Star Using Seismic Waves varun@astro.gsu.edu (2a) Layer Separation (2b) Sound Speed (2e) Sunspot Number (1a) Solar Surface-Resolved Data (8 hours) (1b) Sun-as-a-Star Data (1 Year) We use multi-height, line-of-sight Doppler velocity observations of the Sun, as if it were a distant star, to probe the properties the solar atmosphere via travel-time analysis of acoustic-gravity waves. Travel time data from surface-resolved observations of the Sun (1a) have been used historically to estimate atmospheric properties via wave models [1,2,3]. We transfer this technique to sun-as-a-star data (1b) to estimate separation between the observed layers (2a), sound speed (2b), radiative cooling time (2c), and the horizontal wavenumber (2d). (2c) Radiative Cooling Time (2d) Horizontal Wavenumber Website: astro.gsu.edu/~varun Linkedin: vchaturmutha Email: varun@astro.gsu.edu The atmospheric properties estimated using Sun-as-a-star data matches closely with surface-resolved observations of the Sun. The temporal evolution of atmospheric properties (2a, 2b, 2d), is strongly correlated with the solar cycle (2e) of the Sun. This suggests the potential of this technique to probe properties of stellar atmospheres and an alternate method to detect stellar cycle effect. The layer separation between multi-height spectra observations could enable astroseismic tomography of stellar atmospheres, radiative cooling times have implications for atmospheric heating, sound speed offers insights into the temperature structure, and horizontal wavenumber is related to the granular scales. Figure 1: Travel time spectra prepared using (a) surface resolved and (b) Sun-as-a-star, doppler velocities from Na D and Fe I spectral lines. Sun-as-a-star travel time in (b) is prepared by averaging 4 hours of data over 365 days. Figure 2: Temporal evolution of sin-as-a-star atmospheric properties: (a) separation between observing levels, (b) sound speed, (c) radiative cooling time, and (d) horizontal wavenumber. The Sunspot cycle evolution is shown in (e) as a proxy for magnetic activity on the sun. 1) Souffrin, P. 1972, A&A, 17, 458 2) Jefferies, S. M., Fleck, B., Murphy, N., & Berrilli, F. 2019, ApJL, 884, L8 3) Chaturmutha, V., Fleck, B., & Jefferies, S. M. 2024, ApJ, 966, 200 4) Pesnell, W. D., Thompson, B. J., & Chamberlin, P. C., 2012, SoPh, 275, 3 5) Scherrer, P. H., Schou, J., Bush, R. I., et al. 2012, SoPh, 275, 207 6) Forte, R. et al. 2018, in IAU Symp. 335, Space Weather of the Heliosphere: Processes and Forecasts, (Cambridge: Cambridge Univ. Press), 335 INTRODUCTION DISCUSSION DATA ANALYSIS R E S U L T S REFERENCES
Plataforma para la creación de servicios elásticos big data analytics en la nube Este proyecto ha sido financiado por IVACE y FEDER, a través de la convocatoria de ayudas dirigidas a centros tecnológicos de la CV para proyectos de I+D en cooperación con empresas 2017, 2018 Y 2019 (IMDEEA/2017/139, IMDEEA/2018/94 y IMDEEA/2019/77) Cada vez más empresas están adoptando soluciones de Big Data Analytics. Actualmente existen herramientas gratuitas y de código libre, pero la complejidad de las mismas requiere que sean servicios ofrecidos por centros especializados. Durante 2019, el proyecto Radiatus III continua los trabajos iniciados en 2017 y 2018, avanzando en la investigación, diseño y prototipado de servicios elásticos de Big Data Analytics (BDAaaS) en la nube sobre la plataforma ECloud - Platform as a Service (PaaS), para el tratamiento de datos en tiempo real (Streaming). El proyecto avanzará en soluciones al gran reto que plantea la complejidad de tratar y analizar grandes cantidades de datos recopilados a través de diferentes fuentes y adquiridos en tiempo real, el llamado Big Data Streaming Analytics. A través de estas soluciones las empresas podrán centrarse en el análisis de los datos sin perderse en la complejidad de la infraestructura Big Data necesaria para tal fin. Al finalizar el proyecto, se habrá creado un servicio de Big Data Streaming Analytics en el ecosistema de Radiatus al servicio de las empresas TIC de la Comunitat Valenciana Primera versión del orquestador de servicios con funcionalidades básicas, para el uso en modo "multitenant" del mismo Mejora de la arquitectura y servicios para mejorar su funcionalidad, tolerancia a fallos, rendimiento, seguridad y accesibilidad. Incorporación de nuevas tecnologías Desarrollo de un prototipo de servicio para la plataforma Ecloud , que permita el procesamiento distribuido de modelos de aprendizaje automático
DNA, the genetic blueprint of life, is targeted by a multitude of damaging species of both internal and external origin. This damage can result in the loss of genomic integrity and increase susceptibility to immunodeficiency, neurological disorders, and cancers. Sophisticated DNA repair mechanisms, such as base excision repair, have evolved to correct the damaged DNA and restore genomic integrity. However, errors within these repair mechanisms can result in mutagenic events. Base excision repair, initiates via the use of a DNA glycosylase. Overactivity of alkyladenine glycosylase (AAG), an example of a DNA glycosylase, can result in accumulation of toxic abasic sites that result in mutagenic events and cause cell death. The design and synthesis of a highly active inhibitor of AAG is required. Herein, the rationale behind the design of azanucleoside mimics of such an inhibitor is described, followed by their synthesis. Additionally, development, optimisation, and application of an AAG inhibitory bioassay will provide some of the key structural activity relationships to allow determination of the feasibility of using these inhibitors as therapeutic agents.
A major hypoxic blackwater event occurred in 2016 in response to large unregulated flood events in rivers of the southern Murray-Darling Basin.  Caused by extensive overbank floods inundate floodplains where large quan- tities of organic matter (e.g. leaf litter/grass) had accumulated.  Dissolved organic carbon (DOC) is leached from organic matter and a propor- tion of that DOC is consumed by bacteria which, at the same time also con- sume dissolved oxygen (DO).  During the 2016 floods, consumption of DO by bacteria resulted in severe oxygen depletion (hypoxia) in rivers throughout the river system. MMCP Collaboration Factors Contributing to the 2016 hypoxic blackwater event Centre for Freshwater Ecosystems Fact Sheet Management of future events  Identify those areas of the floodplain that are likely to make the greatest contribution to organic matter loads (and hence blackwater).  Implement more regular inundation of those areas to try and reduce organ- ic matter loads on a more regular basis.  Optimize strategies to mitigate impacts on biotic communities (e.g. fish, crayfish).  Providing environmental water at locations that provide refuge.  Timing of environmental water, to provide refuges for biota at appropriate locations in the Murray-Darling Basin. Contact Centre for Freshwater Ecosystems La Trobe University P: + 61 2 6024 9650 E: cfe@latrobe.edu.au W: latrobe.edu.au/freshwater-ecosystems Further information MMCP Collaboration (MMCP) is a project supported by the Joint State Governments and the Murray-Darling Basin Authority to generate and adopt freshwater ecological knowledge through collaboration, to maintain research capability and contribute supporting science to underpin the Basin-Wide Watering Strategy. Full report: doi.org/10.26181/5d199d3ce698a This synthesis paper is a response to a question poised by the Murray-Darling Basin Officials Committee (BOC) in 2017, in relation to a hypoxic blackwater event that occurred in 2016. The objectives of this theme within the MMCP is to help the BOC address specific questions as they arise. These question will have relevance to the on-going management of Basin Assets. Version 2, July 2019 This project is supported through the Murray-Darling Basin Joint Governments Project team Gavin Rees - CSIRO Land & Water, Albury NSW Causes of blackwater
ေလ့လာမ&'ပီးဆံ-းသွား'ပီးေနာက် ဘာြဖစ်မလဲ? (လ"ငယ်များအတွက်လမ်း./န်မ1တစ်ခ4) သင့်ရဲ့ပ(းေပါင်းပါဝင်မ.သည်စစ်ေဆးေမးြမန်းသ(ေတွအ ေနအားြဖင့်သင့်ဆီမ:သတင်းအချက်အလက်ေတွကိ@ ြပည့်ြပည့်စံ@စံ@ရB:ိသွားသည့်အချိန်မ:ာCပီးဆံ@းသွားမည် ြဖစ်သည်။ ေလ့လာမ.မ:ာတစ်စိတ်တစ်ပိ@င်းပါဝင်ေပးြခင်းအားြဖင့် ေကျးဇ(းတင်ပါသည်။သင်၏ပ(းေပါင်းပါဝင်မ.သည် အြခားေသာသ(များအတွက်က(ညီရာေရာက်ပါသည်။ MRCTCENTER.ORG/FOR-KIDS ေလ့လာမ&တွင်က,န်ေတာ်/က,န်ေတာ်မတိ/ ့၏ပါဝင် မ&4ပီးဆံ/းသွားသည့်ေနာက်ဘာေတွဆက်ြဖစ်မ?ာလဲ ? သင့်ကိ'မေမ့ပါဘ-း!သင်/0င့်ေလ့လာမ3လ'ပ်ငန်းစ6 တွင်ပါဝင်သည့်ဝန်ထမ်းများသည်ေနာက်ဆက်တွဲ ထွက်ေပ?ေလာမည့်ေမးခွန်းA0ိေသာ်အချင်းချင်း ဆက်သွယ်/ိ'င်ပါေသးသည်။ပံ'မ0န်ေဆးက'သမ3အ တွက်သင်ကိ'ယ်တိ'င်သင့်ဆရာဝန်/0င့်ေတွGရပါလိမ့် မည်။ ေလ့လာမ3ကအြခားေသာသ'ေတသနတွင်ပါဝင်သ- များအတွက်ဆက်လက်လ'ပ်ေဆာင်/ိ'င်ပါေသး သည်။စံ'စမ်းစစ်ေဆးသ-ေတွကသ-တိ' ့လိ'အပ်ေသာ အချက်အလက်အားလံ'းကိ'စ'ေဆာင်းသွားIပီးေသာ် ြငားလည်းသတင်းအချက်အလက်ေတွကိ'စ'စည်း Iပီးမည်သည့်အေKကာင်းအရင်းဆိ'လိ'ချက်အဓိ ပMာယ်ကိ'အေြဖA0ာမIပီးမချင်းေလ့လာမ3ကမIပီးဆံ'း ေသးပါ။
Problem statement Awareness raising seminars Organised by each partner (7 EU Member States), bringing together different stakeholders in the field of migration and child protection Objectives • Raising awareness of the challenges in the field of international family law, migration and refugee law • Collecting feedback and best practices Transnational roundtables Organised by Ghent University and one partner (Münster, Versailles and Milan) Objectives • Improving uniformity of procedures applied to migrant children within the EU, including guardianship decisions, child marriage and kafala • Creating and strengthening sustainable networks between migration law, private international law and (international) family law authorities and organisations in different EU Member States Bookon thechild’s best interest in cross-border civil cases International conference 24-25 June 2024, Brussels Buildingnetworks Collecting empirical data Main objectives Connecting International Family Law and Migration Law Enhancing the Child’s Best Interest in Cross-Border Cases More info: https://famimove.unimib.it/# Belgian partner FAMIMOVE: jinske.verhellen@ugent.be leontine.bruynen@ugent.be geertrui.daem@ugent.be ▪Deficits in the protection of children and family relationships in a cross-border context ▪Migration and asylum authorities, civil servants, judges, welfare services have too little knowledge of private international law instruments and their coordination with EU- and national migration law
Heracleum sosnowskyi Brânca ursului Familia Apiaceae, Clasa Magnoliopsida SPECII CU ASPECT SIMILAR Foto & illustration credit: Kus Veenvliet, J., P. Veenvliet, M. de Groot & L. Kutnar (eds.). 2019. A Field Guide to Invasive Alien Species in European Forests. Nova vas: Institute Symbioisis, so. e.; Ljubljana: The Silva Slovenica Publishing Centre,Slovenian Forestry Institute. https://species.biodiversityireland.ie/proﬁle.php?taxonId=187116 Frunze submerse Heracleum mantegazzianum 1-3 m Plantă bienală sau perenă, cu o înălțime de 100-300 cm. Tulpina este brăzdată cu pete purpurii și cu perișori. Frunzele, pe fața superioară sunt lipsite de perișori, iar pe fața inferioară prezintă perișori ﬁni. Marginile frunzelor au dinți scurți și rotunjiți. Frunzele inferioare sunt împărțite în trei segmente ușor divizate în părți ovale, scurt ascuțite. Florile sunt albe, uneori rozalii, organizate în umbele compuse, ușor convexe de 30-50 cm. Fructele au formă ovală, sunt dens păroase atunci când nu sunt coapte. Fructele mature sunt aripate, cu numeroși spini situați pe mici umﬂături sferice sau ovoidale Tulpina Fructe Heracleum mantegazzianum se distinge prin dimensiunea sa, ﬁind printre cele mai mari plante erbacee din Europa. Poate crește până la 4-5 m înălțime. Heracleum persicum are, în general, 1,5-2,5 m înălțime. În special frunzele și semințele au un miros asemănător anasonului. Heracleum persicum Specie de interes pentru UE
LO Feynman diagrams for the canonical single top production modes; a) s-channel, b) t-channel, c) tW. Single top quark production – Top quarks at the LHC are produced predominantly via QCD with t partner, – Can be produced singly via EW interactions. Why do we study them? – Direct probes of Vtb and therefore sensitive to new physics, – Background to many searches, – Can constrain PDFs, – Provides measurements of top quark properties. tW production Latest cross section measurements of the tW process at CMS Duncan Leggat Fudan University, Shanghai Dilepton channel Lepton plus jets channel LP2021 – January 22 Duncan Leggat (Fudan University) [1] Higher-order corrections for tW production at high-energy hadron colliders, N. Kidonakis and N. Yamanaka, JHEP 05 (2021) 278, arXiv:2102.11300. [2] Observation of associated production of a single top quark and a W boson, CMS Collaboration, arXiv:1401.2942v2. Inclusive cross section Differential cross sections Diagram Removal vs Diagram Subtraction – tW at NLO interferes with tt and makes simulation difficult, – DR (default scheme) removes diagrams from signal definition, – DS (treated as a systematic) subtracts a gauge invariant term. First observation of tW production [2] The associated production of a single top quark with a W boson Major backgrounds ● tt – shares diagrams with tW at NLO (see below), ● Drell-Yan (dilepton channel), ● QCD and W+jets (lepton + jets channel). Event signature ●2 leptons (muon/electron), ●Associated MET, ●1 jet from a b quark. Event signature ●1 lepton (muon or electron), ●Associated MET, ●3 jets, 1 from a b quark. Analysis strategy ●36 fb-1 pp collision data collected in 2016 by CMS at √s = 13 TeV, ●Data-driven estimation used for QCD background, ●BDT to discriminate between tW and tt background, ●Binned likelihood fit on BDT output to extract tW production cross section. Result Measured cross section: 89 ± 4 (stat) ± 12 (syst) pb First observation of tW in the l+jets channel Leading uncertainties: – JES, data-driven background estimations, tt simulation SM cross section (aN3LO): 79.5+1.9 -1.8 (scale) +2.0 -1.4 (PDF) [1] Analysis strategy ●36 fb-1 pp collision data collected in 2016 by CMS at √s = 13 TeV, ●Using most sensitive eμ channel, ●BDT to discriminate between tW and tt background in 1j1t and 2j1t regions, ●Binned likelihood fit on BDT output and subleading jet pt in 2j2b region to extract tW production cross section. Measured cross section: 63.1 ± 1.8 (stat) ± 6.4 (syst) ± 2.1 (lumi) pb Leading uncertainties: – JES/JER, – Object selection and reconstruction efficiencies, – tt simulation JHEP10(2018)117 CMS PAS TOP-19-003 - CDS record 2712818 JHEP11(2021)111 A fiducial region is defined enriched in tW signal to extract differential measurements. Selected events pre- and postfit Single top quark cross sections measured by CMS
Services OPERAS versteht sich als verteilte euro­päische Forschungs­ infrastruktur, die die offene Wissenschaftskommunikation in den Geistes- und Sozial­wissenschaften unterstützt. OPERAS-GER ist ein Projekt zur Ver­net­zung von OPERAS in der deutschen Wissenschafts­landschaft. Kontakt https://operas-ger.hypotheses.org/ www.operas-eu.org @OPERAS_GER Zertifizierungs- service Entwickelt im Projekt: Metrics-/Altmetrics Service Entwickelt im Projekt: Discovery Service (GOTRIPLE) Entwickelt im Projekt: Research for Society Service Entwickelt im Projekt: Weitere Services sind in Planung Publishing Service Portal Entwickelt im Projekt: Über 50 Organisationen aus mehr als 15 Ländern National Nodes - als Kontakt- und Verknüpfungsstelle außerhalb OPERAS - zur Verknüpfung nationaler Infrastruktur mit der europäischen Ebene zuständig für - die Einbindung neuer Mitglieder in die OPERAS Community - den Kontakt zu Forschenden und Akteuren im Bereich Open Access - sowie die Vernetzung mit (potentiellen) Geldgebern Ziele 1. Bekanntheit in der deutschen Wissenschaftslandschaft steigern 2. Zielgerichtet Infrastruktur- und Forschungseinrichtungen, Institutionen, Bibliotheken etc. kontaktieren und einbinden 3. Services präsentieren und Workshops organisieren, um die Bedarfe der deutschen Forschungslandschaft zu sammeln & zu verstehen Poster und Präsentation: Larissa Saar (Max Weber Stiftung/ OPERAS-GER)
https://www.researchobject.org/ro- crate/community.html info@elixir-belgium.org RO-Crate Toolbox Higher level interfaces for interacting with RO-Crates RO-Crate is a generic packaging format containing datasets and their description using standards for FAIR Linked Data. The format is based on schema.org annotations in JSON-LD, which allows for rich metadata representation of (data-) artifacts as external references when necessary. The format has been implemented in a wide range of services such as WorkflowHub and Galaxy. ro-crate-py The core RO-Crate Python library: ro-crate-py (https://pypi.org/project/rocrate/) provides a high-level interface to create, load and manipulate RO- Crate objects. The core library is in the process of being wrapped in different platforms such as Galaxy tools and other GUI environments. Workflow Run RO-Crate We are co- developing Workflow Run RO-Crate profile to store workflow execution data and metadata, including prospective and retrospective provenance, as well as associated tooling for its generation. from rocrate.model.person import Person alice_id = "https://orcid.org/0000-0000-0000-0000" bob_id = "https://orcid.org/0000-0000-0000-0001" alice = crate.add(Person(crate, alice_id, properties={ "name": "Alice Doe", "affiliation": "University of Flatland" })) bob = crate.add(Person(crate, bob_id, properties={ "name": "Bob Doe", "affiliation": "University of Flatland" })) RO-Crate in Galaxy We have integrated RO-Crate in Galaxy, using ro-crate-py, to allow for the export of RO-Crates. Galaxy can now, for example, generate a Workflow Run RO-Crate from a workflow run and provide it for export by processing the Galaxy workflow definition and - execution details.
Project Sherlock Generating better leads for criminal investigations Technologies Big Data Analytics Volume: Criminal cases can involve many terabytes of data. Velocity: The search for clues is often time-bound by circumstances as well as by law. Variety: Storage devices can contain a great variety of file types, and the layout of individual files is not known beforehand. distributed computing The task of analyzing a storage device breaks down into many smaller tasks, which need to be distributed over the available hardware resources. hardware accelerators Photos and videos can be analyzed much more quickly using dedicated hardware such as GPUs. image analysis Computer vision methods allow for automatically annotating photos and videos with metadata such as the names of people, places, and weapons. data management A dedicated data management solution makes the data searchable, and enables feeding selections of data to visualization tools. Digital storage devices such as harddisks, mobile phones, and USB drives are increasingly common in criminal cases. Extracting viable leads from such a device poses various technological challenges. The Netherlands eScience Center is helping the Netherlands Forensic Institute face these challenges by extending their toolchain with a number of eScience technologies. visualization Interactive visualizations provide insight into the course of events. natural language processing More and better clues are produced more quickly using techniques that extract meaning from textual data. Video Mobile phone Photo Person Camera Camera Location Credit card transaction Mobile phone Person Mobile phone Photo Photo Photo Photo Storage devices Camera Video Video