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Start date: 2024 Ă— Publisher: Hannover : Technische Informationsbibliothek Ă—

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Now showing 1 - 8 of 8
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    QuaMath – A Large-scale Implementation Program to improve Mathematics Education
    (Hannover : Technische Informationsbibliothek, 2024-06-11) Hallemann, Svea
    This Mini-Review introduces the QuaMath program (“Developing Quality in Mathematics classrooms and teacher professional development”). The national 10-year program aims to develop the quality of mathematics instruction and teacher professional development in collaboration with the federal states. QuaMath is conducted within the framework of the DZLM (Deutsches Zentrum für Lehrkräftebildung Mathematik (German Center for Mathematics Teacher Education, a network of 12 German universities collaborated with the IPN Leibniz-Institute for Science and Mathematics Education)). Working with teachers and practitioners, the DZLM develops, implements, and researches effective training and support programs in mathematics for teachers and early childhood educators. I address the special role of the 400 facilitators in the implementation and success of the QuaMath program. They themselves receive intense training from the Consortium of Mathematics Education Professors (DZLM).
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    Bridging the Gap Between (AI-) Services and Their Application in Research and Clinical Settings Through Interoperability: the OMI-Protocol
    (Hannover : Technische Informationsbibliothek, 2024-02) Sigle, Stefan; Werner, Patrick; Schweizer, Simon; Caldeira, Liliana; Hosch, René; Dyrba, Martin; Fegeler, Christian; Sigle, Stefan; Werner, Patrick; Schweizer, Simon; Caldeira, Liliana; Hosch, René; Dyrba, Martin; Fegeler, Christian; Grönke, Ana; Seletkov, Dmitrii; Kotter, Elmar; Nensa, Felix; Wehrle, Julius; Kaufmes, Kevin; Scherer, Lucas; Nolden, Marco; Boeker, Martin; Schmidt, Marvin; Pelka, Obioma; Braren, Rickmer; Stump, Shura-Roman; Graetz, Teresa; Pogarell, Tobias; Susetzky, Tobias; Wieland, Tobias; Parmar, Vicky; Wang, Yuanbin
    Artificial Intelligence (AI) in research and clinical contexts is transforming the areas of medical and life sciences permanently. Aspects like findability, accessibility, interoperability, and reusability are often neglected for AI-based inference services. The Open Medical Inference (OMI) protocol aims to support remote inference by addressing the aforementioned aspects. Key component of the proposed protocol is an interoperable registry for remote inference services, which addresses the issue of findability for algorithms. It is complemented by information on how to invoke services remotely. Together, these components lay the basis for the implementation of distributed inference services beyond organizational borders. The OMI protocol considers prior work for aspects like data representation and transmission standards wherever possible. Based on Business Process Modeling of prototypical use cases for the service registry and common inference processes, a generic information model for remote services was inferred. Based on this model, FHIR resources were identified to represent AI-based services. The OMI protocol is first introduced using AI-services in radiology but is designed to be generalizable to other application domains as well. It provides an accessible, open specification as blueprint for the introduction and implementation of remote inference services.
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    Lebensqualität bei Krebserkrankungen – Integration in die Versorgung (working paper von Versorgern und Betroffenen)
    (Hannover : Technische Informationsbibliothek, 2024) Beutter, C. N. L.; Block, N.; Berger, S.; Edo-Ferrando, P.; Heinz, B.; Läufer, K.; Lang, B.; Mächtlen, K.; Münkel, S.; Rannert, D.; Zwerenz-Kopp, F.; Fegeler, C.
    Im Rahmen einer Projektgruppe haben sich sowohl Versorger (ÄrztInnen, KrebsberatungsstellenmitarbeiterInnen oder PsychoonkologInnen) sowie Betroffene mit einer regulären Integration von Lebensqualitätsdaten in der Versorgung befasst. Dabei wurde ein digitales System konzipiert, dass eine alltagsnahe und longitudinale Erhebung ermöglicht. Im working paper wurde über alle Teilnehmenden hinweg eine Problemidentifikation der derzeitigen IST-Situation integriert, um anhand dieser Probleme und Hemmschwellen ein übergreifendes Lösungskonzept zu erarbeiten. Im Lösungsraum wurden sowohl spezifische Anforderungen seitens der Versorger als auch PatientInnen zusammengefasst und gegenübergestellt. Dabei wurde ebenfalls die Vernetzung der einzelnen Akteure untereinander beleuchtet sowie die Thematik der Datenspende angerissen.
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    Potenziale und Herausforderungen von Building Information Modeling im Facility Management : Eine Fallstudie zur Untersuchung ausgewählter BIM-Anwendungsfälle mit Power BI
    (Hannover : Technische Informationsbibliothek, 2024) Ernstorfer, Elena
    Despite the potential benefits that Building Information Modelling (BIM) can offer in the operation and maintenance phase of buildings, BIM has so far mainly been used in the design and construction phase in the construction industry. Until now the use of BIM methods in FM inhibited by a lack of standards and uniform processes, among other things. Many companies are deterred by the high upfront costs for software, hardware and staff training. In order to promote the acceptance of BIM-based FM, low-threshold solutions are necessary. This thesis investigates the approach of using Power BI to facilitate targeted access to FM-relevant data of a BIM model and to link these with further data sources. With the help of a plug-in called Tracer, any data up to floor plan and 3D views can be extracted from a BIM model and integrated into Power BI dashboards. The case study conducted as part of this work shows that Power BI offers a solution approach to BIM integration that addresses some of the identified challenges. An expert survey confirms the user-friendliness, functionality and optimisation potential of the Power BI Dashboard solution for the processes considered.
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    Analysis of Knowledge Tracing performance on synthesised student data
    (Hannover : Technische Informationsbibliothek, 2024) Pagonis, Panagiotis; Hartung, Kai; Wu, Di; Georges, Munir; Gröttrup, Sören
    Knowledge Tracing (KT) aims to predict the future performance of students by tracking the development of their knowledge states. Despite all the recent progress made in this field, the application of KT models in education systems is still restricted from the data perspectives: 1) limited access to real life data due to data protection concerns, 2) lack of diversity in public datasets, 3) noises in benchmark datasets such as duplicate records. To resolve these problems, we simulated student data with three statistical strategies based on public datasets and tested their performance on two KT baselines. While we observe only minor performance improvement with additional synthetic data, our work shows that using only synthetic data for training can lead to similar performance as real data.
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    Webinar Science-Tracking : Ad-hoc Arbeitsgruppe der Deutschen Forschungsgemeinschaft zum Datentracking in den Wissenschaften
    (Hannover : Technische Informationsbibliothek, 2024) Ludwig, Judith; Altschaffel, Robert; Dittmann, Jana; Beurskens, Michael; Mittermaier, Bernhard
    Die Ad-hoc Arbeitsgruppe zum Datentracking in den Wissenschaften des Ausschusses für Wissenschaftliche Bibliotheken und Informationssysteme (AWBI) der Deutschen Forschungsgemeinschaft (DFG) hat im Rahmen eines Webinars am 11. März 2024 von 15:00-17:00 Uhr die Ergebnisse ihrer Arbeit vorgestellt.
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    Composite forming simulation for non-crimp fabrics based on generalized continuum approaches – AMECOMP : Abschlussbericht / Final project report (DFG 431354059 / ANR-19-CE06-0031)
    (Hannover : Technische Informationsbibliothek, 2024-05) Schäfer, Bastian; Kärger, Luise; Naouar, Naim; Zheng, Ruochen; Schäfer, Bastian; Kärger, Luise; Naouar, Naim; Zheng, Ruochen; Boisse, Philippe; Colmars, Julien; Platzer, Auriane
    Continuously carbon fiber reinforced composites are increasingly used for structural applications in various fields of engineering due to their excellent weight-specific mechanical properties. Non-crimp-fabrics (NCF) provide the highest lightweight potential as reinforcement for the composite due to their straight fibers, compared to woven fabrics with undulated fibers. NCFs are made of one (UD-NCF), two (Biax-NCF) or more directions of fibers linked together with a polymer stitching in specific patterns. The deformation behavior of NCFs is challenging due to the interaction between the fibers and the stitching, which also results in a higher susceptibility to forming effects such as roving slippage, fiber waviness and gapping compared to woven fabrics. The aim of the AMECOMP project was to improve the understanding of the forming behavior of NCFs and to develop suitable simulation models to broaden the range of potential applications. Mesoscopic models that accurately describe the architecture of the NCF were developed for virtual material characterization and detailed analysis of forming defects in critical areas. Macroscopic models that describe the relevant deformation mechanisms of NCF in a homogenized way were developed for efficient analysis of large components and multi-layer stacks.
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    Bibliometrics and Bibliometric Analysis
    (Hannover : Technische Informationsbibliothek, 2024) Lu, Linna
    [no abstract available]