Results 1 to 10 of about 33 (31)
Vietnam Journal of EducationThe AUN-QA framework requires programs to demonstrate coherence among expected learning outcomes, curriculum design, teaching and learning strategies, assessment, and evidence-based continuous improvement.
Hoan Van Tran
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Preparation and characterization of FsHA/FsCol beads: Cell attachment and cytotoxicity studies
Heliyon, 2023 The present study was conducted to prepare the fish scales' hydroxyapatite/collagen beads (FsHA/FsCol) and characterize their biological, physical, and chemical properties.
Mustafa Mudhafar +5 more
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Quality Assurance Framework for the Design and Delivery of Virtual, Real-Time Courses
Information, 2021 Designing and delivering outcome-based courses that emphasize learner-centric educational discourse and active learning is challenging, especially in online learning environments. Ensuring quality in the design and delivery of such courses in the virtual
Marcel Karam +2 more
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Stokes posets and serpent nests [PDF]
Discrete Mathematics & Theoretical Computer Science, 2016 30 pages, 12 ...
Frédéric Chapoton
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Telematics and Informatics ReportsThe emergence of immersive technologies has introduced metaverse-based retail environments that reshape consumer experiences and decision-making. However, limited research has examined how these environments influence parental purchasing behavior in ...
Mohsen Rahmani +3 more
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MaRVL-QA: A Benchmark for Mathematical Reasoning over Visual Landscapes
CoRRA key frontier for Multimodal Large Language Models (MLLMs) is the ability to perform deep mathematical and spatial reasoning directly from images, moving beyond their established success in semantic description. Mathematical surface plots provide a rigorous testbed for this capability, as they isolate the task of reasoning from the semantic noise ...
Nilay Pande +3 more
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Interpretability in deep learning for finance: A case study for the Heston model
Risk SciencesDeep learning is a powerful tool whose applications in quantitative finance are growing every day. Yet, artificial neural networks behave as black boxes, and this introduces risks, hindering validation and accountability processes.
Damiano Brigo +3 more
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Some of the next articles are maybe not open access.
The Question Answering System on mathematical models (QAS): Description of the language
Computer Languages, 1978The Question Answering System on mathematical models (QAS) is a very high-level computer language which enables the user to communicate with the computer at the level of mathematical models rather than at the level of sequential programs. Once the model (represented by a list of variables, list of equations and, optionally, additional information) is ...
Milos Konopasek +1 more
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A mathematical framework for virtual IMRT QA using machine learning
Medical Physics, 2016Purpose:It is common practice to perform patient‐specific pretreatment verifications to the clinical delivery of IMRT. This process can be time‐consuming and not altogether instructive due to the myriad sources that may produce a failing result. The purpose of this study was to develop an algorithm capable of predicting IMRT QA passing rates a priori ...
G, Valdes +5 more
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XREALISM® — Internal Mathematical–Philosophical & QA Expansion Set (8 Confidential Documents)
// PREDECISION v4: Sigma-E dynamic stability Ovaj skup sadrži osam povjerljivih XREALISM® dokumenata koji proširuju matematičku, filozofsku i operativnu definiciju kvintnog skoka, ΣE operatora, A-polja i ontologije stvarnosti, te uključuju i proširene QA / PoC inženjerske materijale.openaire +2 more sources