fairdataihub/poster-sentry-training-data huggingface dataset:
Is motor outcome related to thalamic and brain volume at school- age in children born preterm? Presented During: Poster Session 1 Sunday, July 23, 2023: 12:15 PM - 02:15 PM Presented During: Poster Session 2 Monday, July 24, 2023: 01:00 PM - 03:00 PM Poster No: 1099 Submission Type: Abstract Submission Authors: Monica Crotti , Manu Lubián-Gutiérrez , Bahram Jafrasteh , Emiliano Trimarco , Simón Pedro Lubiań-López , Els Ortibus , Isabel Benavente-Fernańdez Institutions: KU Leuven, Department of Development and Regeneration, Leuven, Belgium, KU Leuven, Child and Youth Institute, Leuven, Belgium, Biomedical Research and Innovation Institute of Cádiz (INiBICA), Puerta del Mar University, Cádiz, Spain, Division of Neonatology, Department of Paediatrics, Puerta del Mar University Hospital, Cádiz, Spain, Area of Paediatrics, Department of Child and Mother Health and Radiology, University Medical School, Cádiz, Spain, University Hospitals Leuven, Department of Pediatric Neurology, Leuven, Belgium First Author: Monica Crotti KU Leuven, Department of Development and Regeneration|KU Leuven, Child and Youth Institute Leuven, Belgium|Leuven, Belgium Co-Author(s): Manu Lubián-Gutiérrez Biomedical Research and Innovation Institute of Cádiz (INiBICA), Puerta del Mar University|Division of Neonatology, Department of Paediatrics, Puerta del Mar University Hospital Cádiz, Spain|Cádiz, Spain Bahram Jafrasteh Biomedical Research and Innovation Institute of Cádiz (INiBICA), Puerta del Mar University Cádiz, Spain Emiliano Trimarco Biomedical Research and Innovation Institute of Cádiz (INiBICA), Puerta del Mar University Cádiz, Spain 1,2 3,4 3 3 4,5 1,2,6 3,4,5 1 2 3 4 5 6
ABSTRACT for PVSEC 2020 TOPIC: No 4: Photovoltaic Modules and BoS Components SUBTOPIC: 4.3 Sustainability and Recycling Combustion based delamination of Si based glass/glass photovoltaic modules Xiang Ma1, Huaitian Bu1, Matas Rudzikas2,3, Julius Denafas4, Juras Ulbikas3,5, Alexander G. Ulyashin1 1SINTEF Industry, Forskingsveien 1, 0314 Oslo, Norway; 2Center for Physical Sciences and Technology, Sauletekio av. 3, LT-10257 Vilnius, Lithuania; 3UAB ”Modern E-Technologies”, Vismaliukų str. 34, Vilnius LT-10243, Lithuania; 4 SOLITEK R&D, Vilnius, 08412, Lithuania 5The Applied Research Institute for Prospective Technologies; Vilnius, Lithuania Abstract The first step in any recycling value chain for Si based PV modules is the delamination process to detach the glass from solar cell. This process can be done mechanically, by thermal or chemical treatments. In this work detailed analysis of a combustion based delamination of Si glass/glass modules provided by industrial partners has been performed. Conventional pyrolysis oven at temperature around 600 °C has been used to burn EVA (ethyl vinyl acetate) and to extract glass and Si based solar cells without any traces of contaminations from the combustion process, which can be realized at normal air conditions. It is established that crushing of PV modules into small pieces is desirable to regulate combustion process which generates intensive flame and extra energy. It is found that the holding time for the combustion process, which can provide full removal of EVA, can be as low as about 5-10 minutes at appropriate temperatures around 600 ° C. It is concluded that the proposed approach can be realized in a conveyor furnace, which can operate in air. Experimental results reported in this work can be used to design an automated process for the delamination of Si based glass/glass panels. It is established that the proposed approach provides recovery of more than 90% of the total weight of glass/glass Si based modules. Purity analysis of extracted during delamination process materials will be provided at the time of conference.
Uma Nova Realidade Educacional: Metodologias Ativas Potencializadas pela IA Generativa Thiago Maciel Ferreira1 https://doi.org/10.29327/7421021 RESUMO O artigo explora a integração da inteligência artificial generativa com metodologias ativas na educação moderna, destacando como essa combinação pode transformar práticas pedagógicas e promover uma aprendizagem mais personalizada e eficaz. O estudo investiga a aplicação de ferramentas como o ChatGPT, que potencializam a personalização do ensino, fornecendo feedback imediato e ajustando o conteúdo às necessidades individuais dos alunos. A pesquisa é estruturada em três capítulos: o primeiro aborda estratégias práticas para a aplicação dessas metodologias com IA, o segundo avalia sua eficácia na aprendizagem e o terceiro apresenta exemplos práticos de integração. A adaptação do ensino por meio da IA foi um elemento central para o desenvolvimento de um ambiente de aprendizagem mais eficiente e alinhado às necessidades específicas de cada aluno. Os resultados apontam para um aumento significativo no engajamento, compreensão e retenção de conteúdo pelos alunos, embora ressaltem a necessidade de uma implementação cuidadosa e ética para evitar desafios como superficialidade no aprendizado e questões de privacidade de dados. Conclui-se que a integração de IA generativa com metodologias ativas pode transformar significativamente o ambiente educacional, mas deve ser realizada de forma equilibrada e responsável, complementando as práticas pedagógicas tradicionais e assegurando a formação integral dos alunos. Palavras-chaves: Inteligência Artificial Generativa, Metodologias ativas, Personalização do Ensino, Aprendizagem Eficaz, Integração Pedagógica. INTRODUÇÃO: A pesquisa explora a interação entre a inteligência artificial generativa e as metodologias ativas na educação moderna, visando entender como essa integração pode transformar práticas pedagógicas ao promover uma aprendizagem mais eficaz e personalizada, adaptada às necessidades dos estudantes. "A aplicação das metodologias ativas no ensino superior garantirá para os estudantes habilidades e competências necessárias para o exercício de suas profissões" (Maciel, 2022, p. 7). O estudo investiga 1 Doutor pelo Curso de Ciência da Educação da Universidade Federal do Rio Grande do Sul - UFRGS, thiagomaciel.ufrgs@gmail.com e thiago.ferreira@aesa-cesa.br; https://orcid.org/0000-0003-1863-0601 https://scholar.google.com.br Professor e Coordenador do curso de Análise e Desenvolvimento de Sistemas do Cesa. https://doi.org/10.29327/7421021
Wearing Diaries Wendy Moody, Fashion Retail and Design, Department of Textiles and Paper, UMIST – UK Peter Kinderman, Department of Clinical Psychology, University of Liverpool – UK Abstract From my past life I gladly borrow I am who I was, who I am I will be. There is no yesterday nor tomorrow But only today forever for me (‘The Last Poems of Miguel de Unamuno’, 1974) Keeping wearing diaries can add further insight into the emotional and symbolic attachment and meaning the wearer has with their clothes and the memories associated with wearing. This information will contribute to the understanding of choice due to anticipation and the changeable self, but also have some implications for design. It is hypothesized that clothing contributes to regulating the self, affecting body and self-image processing. Clothing choices are linked to design and wearer variables - aesthetic, sensory, associative and self/body-image related signals and sensations that exist within clothing which are then translated by the wearer. These act as stimuli for positive and negative mood affects, individual personality factors, and in forming memories. In seeing oneself and in evaluating daily clothing choices the generation of self-relevant words evoke memories automatically from the signals or sensations, demonstrating that memory is essential to self processing during perception and wearing of clothing. We explore participants’ personal relationships with their clothing choices and wearing patterns in relation to positive and negative emotion/mood affect (Watson et al, 1988), and personality. Using exploratory measures we begin to reveal additional insights into how and why the self is managed. Results indicated that clothing can be used to moderate the self concept, through personality emotion/mood. Set deep in our autobiographical memories they provide a sense of stability. Keywords: emotion/mood, self, symbolic, memory Background Self concept This is crucial in the affective regulation of an individual’s cognitive system, “The self- concept is a mental (cognitive) representation of a particular person – oneself – and as such is part of the individual’s wider knowledge concerning objects and events in his or her social world”, (Markus & Wurf, 1987). Personality and Mood Affect “Clothes are seen as the outer skin of our personality and identity”, (Dittmar, 1992).
Colección de ESMOS 1 Infografía Pequeñas partículas, grandes problemas: el impacto contaminante de los nanomateriales Claudia V. Flores Estrada ID, Diana Zuilem González Muñoz ID, Emily Medina Márquez* ID, Edgar A. Olvera Sandoval ID, Sofía I. Vázquez Martínez ID Licenciatura en Biotecnología, Facultad de Ciencias Biológicas, Benemérita Universidad Autónoma de Puebla, Puebla, México. *Email autor para correspondencia: emily.medinama@alumno.buap.mx 12 de septiembre de 2023 Editado por: Jesús Muñoz-Rojas (Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla). Revisado por: Leslie Susana Arcilla Lozano (Investigadores por México - CONACyT, CIBA-IPN, Tepetitla de Lardizábal, Tlaxcala, México). Colección de ESMOS Resumen Los nanomateriales son estructuras muy pequeñas, inferiores a 100 nanómetros (100 millonésimas de milímetro). Estos materiales tienen propiedades únicas debido a su tamaño y estructura a escala nanométrica
3/15/2019 ScholarOne Abstracts - Abstract proof popup https://asfa2019.abstractcentral.com/submission?PARAMS=xik_RbLdKZjRkGBBX4MmUsvPtSexs5u3PBPn4J8xi5Q5kYedSv9wfHr5MHaZvBucBRFFXiS5yHmDbbUjywDJdpW1mTfCjXRVixsxAEqUgjsP… 1/3 View Abstract CONTROL ID: 3165191 TITLE: ALLOIMMUNIZATION FOLLOWING RED BLOOD CELL EXCHANGE IN A PATIENT WITH RH(D) VARIANT AUTHORS (FIRST NAME INITIAL LAST NAME): D. Allison , D. Loeffler , S. Campbell-Lee , L. Sereseanu , S. Saraf , J. Crane , V. Vidanovic , C. Sheppard INSTITUTIONS (ALL): 1. Pathology, University of Illinois at Chicago, Chicago, IL, United States. 2. Hematology/Oncology, University of Illinois at Chicago , Chicago, IL, United States. 3. Vitalant-Illinois, Chicago, IL, United States. 4. Virginia Blood Services, Richmond, VA, United States. PRESENTATION TYPE: Oral CURRENT CATEGORY: Red Blood Cell Exchange ABSTRACT BODY: Purpose: The Rh system is the most important blood group after ABO. More than 60 Rh antigens are known, and Rh(D) is the most clinically significant. Alloantibodies against Rh antigens are the most commonly encountered clinically significant red blood cell alloantibodies. Rh variants may be mistyped by hemagglutination methods even with the more selective antisera in use today. Partial D antigens can be indistinguishable from the unaltered antigen by hemagglutination, however, exposure can still cause Rh alloimmunization. We present a D variant stem cell transplant recipient who developed anti-D following red blood cell exchange (RBCX) days before receiving hematopoietic stem cell transplantation (HSCT). Methods : A 27-year-old Nigerian male with sickle cell disease (Hb SS) complicated by acute chest syndrome and frequent vaso-occlusive crises was referred for allogeneic matched sibling HSCT. As part of his pre- transplant evaluation, he was typed as B Rh(D) positive, with a detectable cold autoantibody, and negative direct antiglobulin test (DAT) in July 2017. He was serologically negative for C, E, K1, Jk , S, M, Fy , and Fy American Society for Apheresis 1 1 1 3 2 3 1 4 b a b
Coloquio Flujos humanos y frontera flexible Sala de Eméritos 12 y 13 de agosto del 2024, FFyL UNAM De 09:0 14:00 y de 16:00 19: 00 horas Proyecto de investigación “Teoría crítica en América Latina” Coordinación del Programa de Investigación Coor. Carlos Oliva Mendoza Universidades invitadas: Universidad de Barcelona, Universidad Nacional de Educación a Distancia, Université Alassane Ouattara, Universidad Central de Villas Cuba, Universidad Iberoamericana, Universidad Autónoma de Chiapas, Universidad Autónoma de Guerrero, Universidad Autónoma del Estado de México y Universidad Oparin
Science Objectives of the FOXSI Small Explorer Mission Concept Albert Y. Shih1, Steven Christe1, 1NASA/GSFC; 2FHNW (Switzerland); 3SSL, UC Berkeley; 4Southwest Research Institute; 5University of Maryland; 6NJIT; 7University of Minnesota; 8Caltech; 9University of Glasgow; 10JAXA/ISAS; 11Montana State University; 12Observatoire de Paris; 13NASA/MSFC; 14Air Force Research Laboratory Albert Y. Shih , Steven Christe , Meriem Alaoui1, Joel C. Allred1, Spiro K. Antiochos1, Marina Battaglia2, Juan Camilo Buitrago-Casas3, Amir Caspi4, Brian R. Dennis1, James Drake5, Gregory D. Fleishman6, Dale E. Gary6, Lindsay Glesener7, Brian Grefenstette8, Iain Hannah9, Gordon D. Holman1, Hugh S. Hudson9, Andrew R. Inglis1, Jack Ireland1, Shin-Nosuke Ishikawa10, Natasha Jeffrey9, James A. Klimchuk1, Eduard Kontar9, Sam Krucker2,3, Dana Longcope11, Sophie Musset12, Gelu M. Nita6, Brian Ramsey13, Daniel Ryan1, Pascal Saint-Hilaire3, Richard A. Schwartz1, Nicole Vilmer12, Stephen M. White14, Colleen Wilson-Hodge13 SPD 2016 Poster P8.14
ISO 23494: Biotechnology – Provenance Information Model for Biological Specimen and Data⋆ Rudolf Wittner1,2[0000−0002−0003−2024], Petr Holub1,2[0000−0002−5358−616X], Heimo M¨uller3[0000−0002−9691−4872], Joerg Geiger4[0000−0002−7689−531X], Carole Goble5[0000−0003−1219−2137], Stian Soiland-Reyes5,11[0000−0001−9842−9718], Luca Pireddu6[0000−0002−4663−5613], Francesca Frexia6[0000−0003−1007−1286], Cecilia Mascia6[0000−0002−8952−725X], Elliot Fairweather7[0000−0003−0880−0785], Jason R. Swedlow8[0000−0002−2198−1958], Josh Moore8[0000−0003−4028−811X], Caterina Strambio9[0000−0002−1069−1816], David Grunwald9[0000−0001−9067−804X], and Hiroki Nakae10[0000−0002−5064−8468] 1 BBMRI-ERIC, AUT rudolf.wittner@bbmri-eric.eu 2 Institute of Computer Science & Faculty of Informatics, Masaryk University, CZ 3 Medical University Graz, AUT 4 Interdisciplinary Bank of Biomaterials and Data W¨urzburg (ibdw), W¨urzburg, DE 5 Department of Computer Science, The University of Manchester, UK 6 CRS4 – Center for Advanced Studies, Research and Development in Sardinia, IT 7 King’s College London, UK 8 School of Life Sciences, University of Dundee, Dundee, UK 9 University of Massachusetts, US 10 Japan bio- Measurement and Analysis Consortium, JPN 11 Informatics Institute, University of Amsterdam, NL Abstract. Exchange of research data and samples in biomedical re- search has become a common phenomenon, demanding for their eﬀec- tive quality assessment. At the same time, several reports address re- producibility of research, where history of biological samples (acquisi- tion, processing, transportation, storage, and retrieval) and data history (data generation and processing) deﬁne their ﬁtness for purpose, and hence their quality. This project aims to develop a comprehensive W3C PROV based provenance information standard intended for the biomed- ical research domain. The standard is being developed by the working group 5 (”data processing and integration”) of the ISO (International Standardisation Organisation) technical committee 276 “biotechnology”. The outcome of the project will be published in parts as international standards or technical speciﬁcations. The poster informs about the goals of the standardisation activity, presents the proposed structure of the standards, brieﬂy describes its current state and outlines its future de- velopment and open issues. Keywords: provenance · biotechnology · standardization ⋆Supported by European Union’s Horizon 2020 research and innovation programme under grant agreement No. 654248, project CORBEL; grant agreement No. 824087, project EOSC-Life; and grant agreement No. 823830, project BioExcel-2.
SlideWiki – A Platform for Authoring FAIR Educational Content Ali Khalili and Klaas Andries de Graaf Department of Computer Science, Vrije Universiteit Amsterdam, NL {a.khalili, ka.de.graaf}@vu.nl Abstract. SlideWiki.org is a Web-based OpenCourseWare (OCW) authoring system that enables educators and learners to collaborate on creating, sharing, re-using and re-purposing multi-lingual open educa- tional content. The SlideWiki platform allows people to author FAIR (Findable, Accessible, Interoperable, and Reusable) educational content. SlideWiki supports many features to semantically-enrich educational con- tent to support FAIR authoring. In this paper we will present those features of the platform such as Linked Data interface, manual and au- tomatic content annotation as well as content linking and metadata. 1 SlideWiki Platform A major obstacle to increase the eﬃciency, eﬀectiveness and quality of educa- tion is the lack of widely available, accessible, multilingual, timely, engaging and high-quality educational material (i.e. OpenCourseWare). The creation of com- prehensive OpenCourseWare (OCW) is tedious, time-consuming, and expensive. Courseware employed by educators is therefore often incomplete, outdated, dull, and inaccessible to learners with disabilities. With the open-source SlideWiki platform (available at SlideWiki.org) the eﬀort in creating, translating, and evolving FAIR (Findable, Accessible, Interoperable, and Reusable) OCW can be widely shared (i.e. crowdsourced). Similarly to Wikipedia for encyclopaedic content, SlideWiki [1] allows its users (1) to collaboratively create comprehen- sive OCW (curricula, slide presentations, self-assessment tests, illustrations etc.) online in a crowdsourcing manner, (2) to semi-automatically translate this con- tent into more than 50 diﬀerent languages and to improve the translations in a collaborative manner and (3) to support engagement and social networking of educators and learners around that content. SlideWiki.org (funded by an EU H2020 grant1) is already used by thousands of educators and learners. Figure 1 depicts the 3-tier technical architecture of the SlideWiki platform where data, service and user interaction concerns are decoupled as individual stand-alone components. Our contribution to semantically enrich educational content in SlideWiki, touches upon all those 3 layers: RDF and Linked Data version of content are provided in the data layer, NLP (Natural Language Pro- cessing) services are exposed for automatic content annotation, and user inter- faces for manual content annotation together with inline metadata to increase 1 see http://slidewiki.eu for more information
DataPLAN A Data Management Plan (DMP) Generator @nfdi4plants • AutomaticallycreatesaDMP • OfferstemplatesforDFG,EuropeanCommission,BMBF,userdefinedtemplates • CanincludeDataPLANTmetadatatools • IncreasereusabilityofDMPsacrossprojects • PreparemultipleDMPssimultaneously • CanupdateDMPs • Promotesstandardizations • Extremelysafe • Offlineusagepossible Livepreview Single page questionnaire
CALEDONIAN ACADEMY – A RESEARCH CENTRE IN TECHNOLOGY-ENHANCED PROFESSIONAL LEARNING p1 The Caledonian Academy is based at Glasgow Caledonian University in the UK: http://academy.gcal.ac.uk/ WORKING & LEARNING AT THE BOUNDARIES OF KNOWLEDGE This briefing paper summarises an industry- academia research partnership between the Chartered Institute for Securities and Investments and the GCU Caledonian Academy. The aim of the partnership was to examine how finance professionals learn when they reach the limits of their current knowledge. We found a range of situations where professionals had to learn new knowledge. For example when people are assigned new job roles or tasks. Solving these sorts of problems often involves a complex mix of different types of learning extending beyond formal training to include on-the-job learning. In these circumstances, learning has to be continual and personalised, so individuals have to have to be able and willing to regulate their own learning, blending formal training with on-the-job learning. What did we do? We created an instrument to measure each individual’s ability to regulate their own learning. This tool can be used by professionals to help them understand their approach to learning and improve their self-regulation. Using this instrument we measured the SRL scores of hundreds of people working in 19 organisations in the finance sector. From this we built and tested a mathematical model that represents professional self-regulated learning. We tested this model using interviews to explore in more depth how people learn. What did we find? We identified 3 significant factors that influence learning: an individual’s interest in the task, the range of strategies they use to learn and how they self-evaluate their learning. These 3 factors predict whether an individual is likely to self-regulate their learning at work. We identified a range of planning, performance and reflection strategies associated with each of these significant factors. Why is this work useful to the finance sector? One reason these antecedents of learning are important is because each individual’s ability to self-regulate learning is not fixed and can be increased. We identified a number of simple strategies that can encourage self-regulation. Techniques include self-developing clear learning goals, motivating the individual to achieve their objectives. Capitalising on professional networks beyond the immediate workplace team to diffuse and integrate knowledge across boundaries. Adapting and aligning learning goals as work tasks evolve to improve learning effectiveness. These tools and techniques are available to CISI members to help them accelerate their learning.
Geologiske undersøkelser av det ustabile fjellpartiet Åsvedkammen Raunig. M.S1, Skattum. S1, Rosseland, T.L1, Hilger. P1, Penna. I2, Bredal. M2 1Høgskulen på Vestlandet, institutt for miljø- og naturvitenskap 2Norges Geologiske Undersøkelse, geofare og skredobservasjon
Large scale testing of sticky traps for monitoring spittlebugs in different crops Dongiovanni C.2, Di Carolo M.2, Fumarola G.2, Hassan N.3, Usmani S.3, Tedone B.1, Ancona S.1, Cavalieri V.1,2 1Institute for Sustainable Plant Protection, National research Concil, Italy, 2Centro di Ricerca, Sperimentazione e Formazione in Agricoltura “Basile Caramia”; 3Russel IPM Ltd, Deeside, Flinthire, Ch5 2NU, United Kingdom
Investigating rare stellar & binary evolution outcomes with the population synthesis code Giuliano Iorio International HPC Summer School Kobe, 15-16 July 2024 Researcher @ Unipd A significant fraction (>20%) of the stars in the Universe are not alone but gravitationally bound to other stars in binary systems. Stars in binaries interact through various processes, exchanging mass and influencing each other’s evolution. The interplay between stellar evolution and binary interactions can produce rare and peculiar objects, such as binary black holes that can merge later on due to the emission of gravitational waves. To study the properties of these rare populations, millions to billions of binary systems need to be simulated. Detailed stellar evolution and hydrodynamics codes are too computationally expensive for this task. Rapid population synthesis codes overcome this issue by using analytic and semi-analytic formalism to account for stellar and binary evolution. In the last three years, I developed a new, innovative, and flexible population synthesis code: SEVN. See the next slides to learn more about it!