fairdataihub/poster-sentry-training-data huggingface dataset:
El riesgo CV , se define como la probabilidad de un individuo de tener un evento cardiovascular en un período de tiempo determinado (por ejemplo, en los próximos 5 o 10 años). La ecuación de riesgo de Framinghan define como un primer evento CV al IAM, angina de pecho, ataque cerebral isquémico, enfermedad vascular periférica, insuficiencia cardíaca congestiva o una muerte cardiovascular. El objetivo de hacer una evaluación del riesgo CV es identificar los factores de riesgo, estimar el riesgo de hacer un evento CV y utilizar este cálculo para hacer un manejo terapéutico apropiado de aquellos factores. El presente estudio se llevo a efecto en los CS. San Lorenzo , Pile , El Aromo , Manantiales , San Mateo , con una población de 32 personas , de las cuales se evidencia que 27/32 presenta un RCV bajo , 2/32 presenta un riesgo MUY ALTO , por ser diabéticos , y de riesgo moderado 3/32. Lo que llamo la atención fue que de los 32 evaluados 22 presentan SOBREPESO y 4 con OBESIDAD , además que el 100% del grupo es SEDENTARIO . Al momento no se encuentra implementado un programa de salud preventiva en nuestro distrito de salud , cosa alarmante , por eso la pregunta ¿ Se preocupa la salud por nuestra salud?? Quien se preocupa por que los funcionarios tengan SALUD ¿?.Los múltiples requerimientos no solo en el trabajo clínico si no administrativo absorbe de forma casi total el tiempo de los trabajadores , dando lugar al desarrollo de patologías que silenciosamente evolucionan tanto en la salud cardiovascular como HTA, DM , DLP , OBESIDAD , Problemas de salud mental como trastornos ansiosos , depresión etc . Es necesario la implementación de medidas que nos protejan , asegurando bienestar SALUD a los trabajadores del área de la salud , en aras de mejor atención a nuestros usuarios y al mejoramiento de el sistema de salud del país. RIESGO CARDIOVASCULAR EN EL PERSONAL DEL DISTRITO DE SALUD NUMERO DOS SECTOR RURAL SCORE DE FRAMINGHAN UNIVERSIDAD DE PIURA MAESTRIA EN SALUD OCUPACIONAL ¿ Hay salud en la salud? Distribución del Personal de salud del área rural , distrito 2 BAJO 5% MODERADO 5-9% ALTO 10-19% MUY ALTO 20 o > 0 2 4 6 8 10 Serie1 0 5 10 15 20 25 SOBREPESO BIBLIOGRAFIA . 1.Programa de Salud Cardiovascular. Reorientación de los Programas de Hipertensión y Diabetes. Ministerio de Salud de Chile. 2002 . Prevención Primaria de Enfermedad Coronaria. Tablas de Framingham para la estimación de riesgo coronario a 10 años adaptadas a la población chilena. Programa de Investigación de Factores de Riesgo de Enfermedad Cardiovascular. 2007. Universidad de Talca. http://pifrecv.utalca.cl . Determinación y Prevalencia de Factores de Riesgo Cardiovascular en el Personal de la Brigada de Caballería Blindada No 11 Galápagos, Riobamba ELABORADO POR: DRA SUSANA JASMIN CABRERA MERO MANTA OCTUBRE 2014 RIESGO CARDIOVASCULAR 22 PCTES CON SOBREPESO 4 CON OBESIDAD
Ruta alternativa Barranco Jabalí Ruta alternativa Trincheras Sendero Acequias de Paulo y El Coto Usted está aquí Mapa propiedad del Instituto Geográfico Nacional El municipio alpujarreño de Pórtugos, ubicado en el macizo granadino de Sierra Nevada, destaca por sus diversas fuentes y manantiales que abastecen de agua una importante red de acequias históricas. Estos nacimientos de agua se enriquecen con los aportes nivales y permiten dotar al municipio de abundante agua. Estos sistemas de riego existen, al menos, desde época andalusí y han generado numerosos espacios de cultivo, pastos y han modelado el paisaje, haciendo de este, un espacio singular. En En el caso del sendero Acequias de Paulo y El Coto, podremos apreciar, transitando por el camino de servidumbre de paso de la acequia, parte de un sistema ancestral de manejo de agua. Estas acequias, toman las aguas del río Jabalí y recorren zonas de alta montaña, guiándola hasta puntos muy concretos donde se “carea”. Esto, signiöca la inöltración del agua en la tierra de manera artiöcial, para recogerla, en zonas más bajas, un tiempo después. A través de diferentes puntos de interés, podremos aprender sobre estos regadíos de alta montaña: la gestión y mantenimiento por parte de las comunidades de regantes, sus beneöcios ambientales, infraestructuras asociadas a estas y otros elementos con los que nos encontraremos a lo largo del recorrido (más información en el código QR). Visitaremos un espacio alterado por el ser humano tradicionalmente, pero que respeta de manera equilibrada y eöciente el medio en el que se encuentra. RECUERDE: Manténgase Evite hacer ruido Respete los bienes y Mantenga limpio No se permite No se permite la No se permite la No se permite la en los caminos propiedades privadas este entorno encender fuego recolección de plantas captura de animales recolección de fósiles 2 2 2 3 DATOS TÉCNICOS: Tipo de sendero: Semi-circular Distancia del recorrido: 7,3 km Desnivel acumulado de subida: 503 m Desnivel acumulado de bajada: 503 m Tiempo estimado del recorrido: 3 h y 10 min. Señalización de Sendero Local (SL) Acequia El Coto I Acequia de Paulo Panorámica de Pórtugos Sendero ACEQUIAS DE PAULO Y EL COTO (PÓRTUGOS) SL-A 386 Ayuntamiento de Pórtugos https://regadiohistorico.es
• Internationale Konferenzen zu historischer Datenkritik • Blog "Historical method under digital conditions" • Epochenspezifische Lehrpläne • Buch "Historical Data Criticism and Sustainable RDM" • Rechtliche Empfehlungen • Informationsdienst zu technischen Trends und Normen in anderen Ländern • Empfehlungen zu Datenkritik und FDM • White Paper zu ethischen Dimensionen in den Area Histories im digitalen Raum The Future of the Past Task Area "Data Literacy" • Data Literacy Bedarfserhebung • Regional Training Centers • Virtueller Beratungsservice • Virtuelle Trainingskurse • Data Literacy Schulungskata­log • Modell Curriculum • Lernmodule & Schulungsmaterialien • Pilotprogramm für Multiplikator:innen • Governance-Modell für Data Literacy Material-Akkreditierung Unsere Arbeitsfelder Data Literacy Bedarfserhebung Start "von Büchern zu Bytes" Publikation Fragebogendesign Internationale Konferenz "Epistemic Virtues in Digital History and Humanities" Start der Blogreihe "Was Historiker:innen und historisch Arbeitende ihrem jüngeren Ich raten würden" Publikation „Digital Monolingualism, Archives at Risk, and Global Views on Open Access“ Bereitstellung Data Literacy Bibliographie Gründung AG "Regional Training Centers" Kooperationsworkshop zu OER Sammlung von Data Literacy Lern- und Lehrmaterialien Mitwirkung Konzeption NFDI-Workinggroup "Helpdesks" Publikation Umfragebericht Data Literacy Bedarfe Veröffentlichung Data Literacy Trainingskatalog Publikation Whitepaper Data Literacy Kompetenzprofil Gründung AG "Data Literacy in der Lehre" Roundtable auf der CrossArea-Tagung zum Thema "The Future of the Archive(s)" 4memory.de | @NFDI4memory | 4memory@ieg-mainz.de gefördert durch Projektnummer 501609550 Mailingliste: E-Mail: contact@4memory-dataliteracy.de Wir sind eng vernetzt Auf dem Laufenden bleiben Veröffentlichungen auf Zenodo "Von Büchern zu Bytes" Veranstaltungsreihe auf YouTube Data Literacy Data Literacy Ausbildung Ausbildung Historische Historische Quellenkritik Quellenkritik & FDM & FDM Digitale Area Digitale Area Histories Histories 2023 2024 Dienste für Dienste für digitale digitale Forschung Forschung Workshop & Publikation "Area Histories und die NFDI4Memory: Zur Rolle der FID"
1 Online supplement for integrated production-transportation planning for supply chain with perishable food and shared returnable transport items APPENDIX A: THE FRAMEWORK OF THE DIFFERENTIAL EVOLUTIONARY ALGORITHM The framework of the differential evolutionary algorithm (DEA) is shown in Fig 1. The basic iteration process of the DEA is similar to other evolutionary algorithms, such as genetic algorithms. It starts with a randomly generated population of candidate solutions and iteratively improves these solutions through mutation, crossover, and selection operations, aiming to converge toward the global optimal solution. The main steps of the DEA are as follows: first, we randomly generate enough individuals as an initial population; second, in mutation operation, two individuals are randomly selected from the current population. A weighted difference vector is calculated between these individuals and added to a third individual to create a new individual; third, the crossover operation crosses the original individual and the mutated individual to generate a new individual; then, in the selection operation, individuals with better fitness values are selected for the next-generation population. For more details on the DEA, please refer to Kumar et al. [1]. Population initialization Stopping condition is satisfied No Mutation Crossover Selection Output the best optimal solution Yes Fig. 1. The framework of differential evolutionary algorithm. APPENDIX B: THE FRAMEWORK OF THE COLUMN GENERATION The framework of the column generation (CG) algorithm is represented in Fig 2. To apply the CG to our problem P1, we reformulate it appropriately into a set partitioning model (master problem MP) and |M| subproblems. At the initial iteration of the CG, we solve a smaller-scale restricted master problem RMP (i.e., with fewer variables than the original problem MP). Then, we solve the relaxation of RMP, calculate the dual value (i.e., shadow price) for each constraint, and input dual values into subproblems. Subsequently, subproblems are solved to check the variables that are not currently considered in the RMP to see if there are any variables that can reduce the total cost (i.e., their reduced cost, denoted as RC, is less than zero). If such variables are found, we add them to the RMP and return to solve RMP. This process is repeated until no new variables can enter the RMP to reduce the total cost (i.e., the RC is non-negative). For more details on the CG, please refer to Tempelmeier [2].
LA CIENCIA ABIERTA EN LA UNIVERSIDAD DE PUERTO RICO OBJETIVO DE LA INVESTIGACIÓN Explorar la apertura y el intercambio de los procesos, herramientas y resultados de investigación en la Universidad de Puerto Rico (UPR), en cuatro dimensiones de la Ciencia Abierta: (I) Acceso abierto (Open Access) (II) Revisión por pares abierta (Open Peer review) (III) Recursos educativos abiertos (Open Educational Resources) (IV) Código Abierto (Open Source) METODOLOGÍA • Estudio inicial de carácter exploratorio y fundamentalmente descriptivo • Fuentes para la recogida de la información: - Política de Acceso Abierto a los resultados de la labor creativa e investigaciones producidas en la Universidad de Puerto Rico (Certificación 113, 2019-2020) - Portal de Revistas Académicas de la Universidad de Puerto Rico - Estadísticas de acceso y uso de los repositorios institucionales de la UPR - Scopus® (Elsevier's abstract and citation database) CONCLUSIONES Los resultados preliminares de este trabajo reflejan que, indudablemente, el movimiento de la ciencia abierta viene impactando notable en las políticas institucionales de la Universidad de Puerto Rico, que en los últimos años ha puesto en marcha distintas iniciativas para favorecer el proceso de apertura e intercambio de sus resultados de investigación. RESULTADOS PRELIMINARES: acceso abierto Dra. Cláudia De Souza claudia.souza@upr.edu Profesora Catedrática Auxiliar Dr. Carlos A. Suárez Balseiro carlos.suarez5@upr.edu Profesor Catedrático Universidad de Puerto Rico, Recinto de Río Piedras (UPRRP) Facultad de Comunicación e Información (FaCI) https://faci.uprrp.edu/ Programa Graduado en Ciencias de la Información 443 436 490 643 592 714 902 906 969 986 1070 974 1001 944 1017 1032 1048 1091 1071 1010 1084 13,32 60,42 0,00 5,00 10,00 15,00 20,00 25,00 30,00 35,00 40,00 45,00 50,00 55,00 60,00 65,00 70,00 75,00 80,00 85,00 90,00 95,00 100,00 0 100 200 300 400 500 600 700 800 900 1000 1100 N. docs UPR % All Open Access 28 revistas editadas o coeditadas en 5 recintos de la UPR Más de 9000 documentos disponibles a texto completo
Commissariat à l’énergie atomique et aux énergies alternatives INES | 50 avenue du lac Léman | 73375 Le Bourget-du-Lac www-liten.cea.fr / www.ines-solaire.org DEVELOPMENT AND IMPROVEMENT OF METHODS FOR REDUCING CONTAMINATION OF SILICON-KERF FROM WAFER SLICING Roland RIVA, Margot LANDA-PLIQUET, Fabrice COUSTIER UNIVERSITÉ GRENOBLE ALPES, CEA, LITEN, CAMPUS INES, 73375 LE BOURGET DU LAC, FRANCE CONTACT : Roland RIVA, roland.riva@cea.fr This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 958365 CONTEXT 35% silicon-kerf loss during wafer slicing (diamond wire) recycling desirable Silicon contamination from cutting liquid (water + additives), brick holder (beam) and diamond wire CONTAMINATION REDUCTION OF SILICON-KERF 1) DURING WAFER SLICING Low concentration (Carbon Oxygen Demand) coolant decrease of carbon Beam composition (silicon-based filler) aluminum reduction 2) ON DRY RECOVERED SILICON-KERF Soft chemical treatment (HCl) followed by thermal treatment (2 hours @ 500°C) Main residual contaminant = nickel (from cutting wire coating) CONCLUSION • Raw silicon-kerf purity can be enhanced to 3N (99.9%, excluding light elements) without industrial cutting process modification thanks to cutting liquid and beam composition change • Additional soft chemical treatment, followed by thermal treatment can drastically reduce carbon concentration and increase silicon-kerf purity to 4N (99.99%) References • H. Hajjaji, F. Coustier, V. Brizé, A. Benayad, M. Benmansour, A. Chabli, “Recycling of Kerf-Loss Silicon Powder from Diamond-Wire Cutting Without Chemical Treatment”, EU PVSEC 33, 2017. • M. Vazquez-Pufleau, T.S. Chadha, G. Yablonsky, P. Biswas, “ Carbon elimination from silicon kerf: Thermogravimetric analysis and mechanistic considerations”, Scientific Reports, Volume 7, 2017. • F. Coustier, V. Brizé, H. Hajjaji, “Wire cutting support for bonded abrasives comprising an assembly of different materials, system comprising such a support and wire cutting methods”, European Patent EP 3 424 663 A1, 2017. • X. Li, G. Lv, W. Ma, T. Li, R. Zhang, J. Zhang, S. Li, Y. Lei, “Review of resource and recycling of silicon powder from diamond-wire sawing silicon waste”, Journal of Hazardous Materials, Volume 424, Part A, 2022. • Z. Hu, G. Wang, J. Li, Y. Tan, Y. liu, P. Li, “Recycling of diamond-wire sawing silicon powder by direct current assisted directional solidification”, Waste Management, Volume 157, 2023. Metals divided by 3 and carbon by 6 from raw Si-kerf 1BV.5.5
using the QR-Code and: your training. gaps or needs for further training and your training. Get your training if you meet at least 80% of the principles recommended by the research community. your badged training to the OS Learning Gate. reach out: buchheit@paedagogik.uni-kiel.de alavi@zke-kiel.de Help us to create an intersection of high-quality and reliable OS training in line with principles of Research Integrity, Research Ethics and Ethics of AI operating with OS tailored according to the needs of various OS learning groups. Join us in the OPEN SCIENCE LEARNING GATE 3 2 1 4 SCREEN IDENTIFY & COMMUNICATE BADGED CONNECT AMEND QUESTIONNAIRE Starting at the beginning of June 2024 ENTER NERQ_OS QUESTIONNAIRE for Julia Priess-Buchheit, Joeri K. Tijdink, Katharina Miller, Sean Lacey, Peter Eduard, Marie Alavi (and more from NERQ_OS Group)Julia Priess-Buchheit, Joeri K. Tijdink, Katharina Miller, Sean Lacey, Peter Eduard, Marie Alavi (and more from NERQ_OS Group) OPEN SCIENCE Learning Gate tailored capacity building for OS training Authors: Julia Priess-Buchheit, Marie Alavi With contribution of: Joeri K. Tijdink, Katharina Miller, Ruth Moran, Varga Orsolya, Maruxa Martinez, Ulf Tölch, Sean Lacey , Peter Eduard, Anita Lunić (and more from NERQ_OS Group)With contribution of: Joeri K. Tijdink, Katharina Miller, Ruth Moran, Varga Orsolya, Maruxa Martinez, Ulf Tölch, Sean Lacey, Peter Eduard, Anita Lunić (and more from NERQ_OS Group) SIG_OS
PhD Library Course Topics I´m a virtual librarian, ready to assist you with your PhD Library Course questions! Available 24/7 to assist PhD candidates with their coursework and research. Provides personalized feedback and real-time support. Helps students brainstorm keywords and formulate effective search queries. Guides users through citation styles and reference management using tools like Zotero. Facilitates understanding and implementation of Open Science practices. Enhances the overall research and learning experience for PhD candidates. Promotes engagement and active learning through interactive assistance. Demonstrates the potential of AI in transforming academic support services. 0% 10% 20% 30% 40% 50% I don't have access to full version of ChatGPT Consult dates and conditions of course Consult for deeper understanding of subject I don't like vi̶tual assistance Consult the assignments Archie Bookworm: Virtual Librarian for Advancing PhD Education PhD Library Course in Nutshell Blended learning format combining webinars, in-person workshops, e-learning, and practical assignments. Provides a platform for networking among PhD from different fields (over 90 participants attended this year). Focuses on developing core research competencies and practical skills. Encourages interdisciplinary collaboration and knowledge sharing. Regular feedback and personalized guidance enhance the learning experience (real-time support from the AI virtual librarian). Meet Archie Bookworm Feedback Highlights: How Archie Transformed Learning “Archie helped me formulate effective search queries, making my research process much smoother and more efficient.” “I found the use of AI in teaching through Archie inspiring. I'll be incorporating similar AI tools in my own teaching methods." “I'm not a fan of virtual assistants; I prefer human interaction. However, I can see the potential benefits for those who like using AI” Tereza Šímová Czech University of Life Sciences Prague www.terezasimova.com, simovat@lib.czu.cz
On behalf of PID Network Germany Felix Burger (TIB), Andreas Czerniak (UB Bielefeld), Barbara Fischer (DNB), Stephanie Glagla-Dietz (DNB), Lena Messerschmidt (Helmholtz Open Science Office), Heinz Pampel (Helmholtz Open Science Office / Humboldt-Universität zu Berlin, IBI), Jochen Schirrwagen (UB Bielefeld), Antonia C. Schrader (Helmholtz Open Science Office), Paul Vierkant (DataCite), Frauke Ziedorn (TIB) This work, excluding logos, is licensed under a Creative Commons Attribution 4.0 International. Funder: Authors & license: Project partners: 10 PID use cases in the project’s focus About the project The goal of the project “PID Network Germany” is to build a network of existing and currently forming actors around Persistent Identifiers (short PIDs) in science and culture. The aim is to promote the application, implementation, standardization and interoperability of PID systems on a local, national and international level. The findings from the project will lead to recommendations in a national PID roadmap for Germany. The project started on March 01, 2023, and is funded by the German Research Foundation (DFG) scheduled to run for 36 months. The project website provides further insight into the goals of the project. Support & Contact • Website: www.pid-network.de • Contact: info.pidnetwork@listserv.dfn.de • Mailing list: PID Dialog Follow us on Social Media: • Mastodon: @PIDNetworkDE@openbiblio.social • Twitter: @PIDNetworkDE e. g. DataCite DOI, URN, Archival Resource Key (ARK) e. g. DataCite DOI, based on the metadata schema by the RDA WG PIDINST e. g. GND Why do we need PIDs? PIDs... • offer unique, universal, and permanent references to potentially any type of digital or non-digital entities in the research process. • enable linkage between entities. • contribute to the integrity of scholarly communication, its reusability and their reproducibility. • play a crucial role to make data FAIR. • provide a comprehensive overview of all entities in the research process. Netzwerk für die Förderung von persistenten Identifikatoren in Wissenschaft und Kultur e. g. ROR ID, ISNI, GND, or for funding information (Gepris or Crossref Funder Registry), and for projects RAiD e. g. ORCID iD and Integrated Authority File (GND) e. g. Research Resource Identifier (RRID) for biological and the International Generic Sample Number (IGSN) for samples from all scientific fields e. g. DOI using the Citation File Format (CFF) e. g. DOI and URN service of the German National Library e. g. DataCite DOI, as suggested by ConfIDent (DFG-funded project in Germany) Logos by Julian Kücklich (https://doi.org/10.5281/zenodo.5608845), licensed under CC 0 So far only few initiatives, such as re3data and FAIRsharing, are providing DOIs for research data repositories.
Lotte Wilms, Andreas Degkwitz, Caleb Derven, Marian Lefferts, Kirsty Lingstadt, Liam O’Dwyer, Demmy Verbeke & Digital Humanities and Digital Cultural Heritage WG Participants 56 participants - 54 institiutions - 20 countries Full report available at doi.org/10.5281/zenodo.3247286 3. Select youractivitieswisely Libraries are most active in data capture, creation and storage. Build on your (collection) strengths to decide what works best for you. 1. Createa goal or visionforyourlibrary A defined framework clarifies your goal and manages expectations of partners. Set up your organisation with enough resources to make sure you can also reach this goal. 2. Measureyourimpact Identify early on how you will measure your achievements and impact. This will help you define what works well and what needs to be re-evaluated. 4. Reflectthefull breadthof yourcollections By broadening your scope to the full width of your collection your DH offering can be strengthened. Work from your strenghts and make access as easy as possible. 5. Have confidencein yourexpertise As the creator of your digital collections, you are the expert. Your are therefore the ideal partner, as you know what has been digitised, how it’s been digitised, what licenses apply, what works well and what probably wouldn’t. Strengthening the position of libraries as partner in DH will be a a core theme for the WG for the next two years. 6. Involveallyourcolleagues, notjusttheobviousones DH activities are most succesful if they are supported by a large number of library staff. Work together to build your skills and ideas. 7. Collaborate, collaborate, collaborate! Building your network in DH is crucial, as collaboration is key. Once you have defined your goals and activities go out and disseminate your data, your team and you ideas. Special thanks to Friedel Grant for the design of all graphs, tables and the word cloud. We also wish to thank all contributors and our WG’s members for their input.
Genome Annotation using Nanopublications: An Approach to Interoperability of Genetic Data Rajaram Kaliyaperumal1, Peter A.C. ‘t Hoen1, Zuotian Tatum1, Mark Thompson1, Erik Schultes1, Andrew Gibson1, Ivo F.A. C. Fokkema1, Johan T. den Dunnen1, Jeroen F.J. Laros1, José Luis Oliveira2, Pedro Lopes2, Pedro Sernadela2, Marco Roos1 1 Department of Human and Clinical Genetics, Leiden University Medical Centre, Leiden, The Netherlands, 2 DETI/IEETA, University of Aveiro, Aveiro, Portugal Nucleotide change Substitutions Deletions Duplications Indels Single 22 2 - - Multiple - 6 4 1 Variant DB-ID gChange No.of TSS deleted SGCB_00043 g. 52886872_52904485del 1 DYSF_00176 g.71707370_71838047del 9 LMNA_00209 g.156052975_156100408del 12 promoter TSS exon inton CAGE cluster peaks