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Psychosocial factors that favor citizen participation in the generation of scientific knowledge
BackgroundCitizen participation in the generation of scientific knowledge is one of the major challenges facing science and technology systems. This...
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Toward fair graph neural networks via real counterfactual samples
Graph neural networks (GNNs) have become pivotal in various critical decision-making scenarios due to their exceptional performance. However,...
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Aspect-based drug review classification through a hybrid model with ant colony optimization using deep learning
The task of aspect-level sentiment analysis is intricately designed to determine the sentiment polarity directed towards a specific target within a...
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Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems
Coatis optimization algorithm (COA) has recently emerged as an innovative meta-heuristic algorithm (MA) for global optimization, garnering...
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Cognitive differences in product shape evaluation between real settings and virtual reality: case study of two-wheel electric vehicles
Product shape evaluation is an important part of new product development. In the shape design stage, design schemes are often presented through...
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Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach
Nowadays, due to the constantly growing amount of textual information, automatic text summarization constitutes an important research area in natural...
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How clustering affects the convergence of decentralized optimization over networks: a Monte-Carlo-based approach
Decentralized algorithms have gained substantial interest owing to advancements in cloud computing, Internet of Things (IoT), intelligent...
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Fostering preservice teachers socio-emotional, technological, and metacognitive knowledge (STM-K) using e-portfolios
Preservice teachers often face challenges in develo** Socio-emotional, Technological, and Metacognitive Knowledge (STM-K) due to a lack of...
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Data science career preference of Nigeria University students
This study examined the data science career preference, data science skills, and core competencies of 416 students from fourteen Nigerian...
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When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data
Constraining the actions of AI systems is one promising way to ensure that these systems behave in a way that is morally acceptable to humans. But...
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Towards an integrative model of blended design studios: a multiple case study across architecture, design and planning education
Design education embodies distinctive pedagogical practices rooted in experiential learning, frequent interactions between students and instructors,...
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Technological solutions to foster preschool children’s spatial ability: A situational interactive e-book approach
Spatial ability is a significant component of mathematical ability and a foundation for children to master mathematical knowledge. Although many...
