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Titlebook: Advances in Conceptual Modeling; ER 2024 Workshops, A Motoshi Saeki,Leah Wong,José F. Reyes Román Conference proceedings 2025 The Editor(s)

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41#
發(fā)表于 2025-3-28 15:07:05 | 只看該作者
Effects of Perceived Ease of Use and Perceived Usefulness of Technology Acceptance Model on Intentiology Acceptance Model (TAM). Furthermore, this study analyzed whether user satisfaction has a mediating effect between perceived ease and usefulness and continuance use intention and whether innovation resistance has a moderating effect between perceived ease and usefulness and continuance use inten
42#
發(fā)表于 2025-3-28 20:48:28 | 只看該作者
43#
發(fā)表于 2025-3-28 23:29:28 | 只看該作者
44#
發(fā)表于 2025-3-29 06:14:59 | 只看該作者
On the Expressiveness of Petri Nets for?Modeling Biological Processes: The?Case for mRNA Translatione propose an approach that models mRNA translation at the codon level for the elongation phase, improving the expressiveness, extending from single transitions to representing each elongation step. We use the proposed model to run simulations comparing the effects of the relative availability betwee
45#
發(fā)表于 2025-3-29 08:51:00 | 只看該作者
Enhancing Vaxign-DL for?Vaccine Candidate Prediction with?Added ESM-Generated Featuress, Vaxign-DL predicts bacterial protective antigens by calculating 509 biological and biomedical features from protein sequences. In this study, we first used the protein folding ESM program to calculate a set of 1,280 features from individual protein sequences, and then utilized the new set of feat
46#
發(fā)表于 2025-3-29 11:52:15 | 只看該作者
Conceptual Modeling for?Polygenic Risk Score Research: Improving Domain Understanding and?Clinical Utic predispositions for common diseases. However, the field faces challenges in terminology standardization and precise conceptualization, which hinder domain comprehension and consequently the effective data management and application in clinical practice. With the aim of providing clarification in
47#
發(fā)表于 2025-3-29 17:00:56 | 只看該作者
48#
發(fā)表于 2025-3-29 23:23:33 | 只看該作者
How Does UML Look and?Sound? Using AI to?Interpret UML Diagrams Through Multimodal Evidenceonstructing or learning conceptual models. This gap highlights the need to address empirically-informed conceptual modeling practice. This paper underscores the potential of Artificial Intelligence (AI) for improving evidence-based conceptual modeling practice, specifically with Unified Modeling Lan
49#
發(fā)表于 2025-3-30 01:53:27 | 只看該作者
50#
發(fā)表于 2025-3-30 04:31:37 | 只看該作者
Evaluating a Framework of Conceptual Modelling Researchan application can be represented and appropriate data included in a useful information system. Such abstraction efforts can be challenging and the resulting research papers have a wide variety of reported results. This makes it difficult to correctly identify and categorize the contribution of a sp
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