Longitudinal associations between cybervictimization, cyberperpetration, and cyberbystanding: Cross-lagged panel analysis by R. Escortell-Sánchez, V. Caba-Machado, J.M. Machimbarrena, E. González-Abaurrea, D. Sevilla-Fernández, J. González-Cabrera

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Insights into Phase Transformations during Selective Laser Melting of Ti6Al4V: A Numerical Approach by Gasser Abdelal, Daniel Higgins, Chi-Wai Chan, Brian Falzon

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Intervention of the Koo-Kleinstreuer and Li Model in Nanofluid Flow over Magnetic Dipole Centered Curved Sheet and Optimizing Entropy using Response Surface Methodology by K.G. Vidhya, F. Almeida, P. Kumar, B. Nagaraja

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Exploring attitudes toward ChatGPT among college students: An empirical analysis of cognitive, affective, and behavioral components using path analysis by Benicio Gonzalo Acosta-Enriquez, Carmen Graciela Arbulú Pérez Vargas, Olger Huamaní Jordan, Marco Agustín Arbulú Ballesteros, Ana Elizabeth Paredes Morales

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An ecological and stochastic perspective on persisters resuscitation by Tania Alonso-Vásquez, Michele Giovannini, Gian Luigi Garbini, Mikolaj Dziurzynski, Giovanni Bacci, Ester Coppini, Donatella Fibbi, Marco Fondi

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Research on channel estimation based on joint perception and deep enhancement learning in complex communication scenarios by Xin Liu, Shanghong Zhao, Yanxia Liang, Shahid Karim

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Improving drug–target affinity prediction by adaptive self-supervised learning by Qing Ye, Yaxin Sun

“…Computational drug-target affinity prediction is important for drug screening and discovery. …”
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Transnational learning and teaching activities: Smart Healthcare Engineering by Luis Fernando Talavera Martin, Ioan Fatu, Julia Mirza-Rosca, Mircea Horia Tierean

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Use of ICT to Confront COVID-19 by Yousry Saber El Gamal

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Analytics of self-regulated learning strategies and scaffolding: Associations with learning performance by Tongguang Li, Lixiang Yan, Sehrish Iqbal, Namrata Srivastava, Shaveen Singh, Mladen Raković, Zachari Swiecki, Yi-Shan Tsai, Dragan Gašević, Yizhou Fan, Xinyu Li

“…Self-regulated learning (SRL) encapsulates learners' abilities to control, monitor, and regulate cognitive and metacognitive processes such as motivation, emotion, and learning strategies. …”
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Deciphering the proteome of Escherichia coli K-12: Integrating transcriptomics and machine learning to annotate hypothetical proteins by Sagarika Chakraborty, Zachary Ardern, Habibu Aliyu, Anne-Kristin Kaster

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Self-sovereign management scheme of personal health record with personal data store and decentralized identifier by Tong Min Kim, Taehoon Ko, Byoung Woo Hwang, Hyung Goo Paek, Wan Yeon Lee

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Comparison of EfficientNet CNN models for multi-label chest X-ray disease diagnosis by Murat Ucan, Buket Kaya, Osman Aygun, Mehmet Kaya, Reda Alhajj

“…The analysis of chest X-ray images, which are critical for the early diagnosis of many diseases, is a difficult and time-consuming process due to the multiple labeling requirements and similar looking pathologies. …”
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Semantic-Driven Approach for Validation of IoT Streaming Data in Trustable Smart City Decision-Making and Monitoring Systems by Oluwaseun Bamgboye, Xiaodong Liu, Peter Cruickshank, Qi Liu

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Harnessing the power of AI-instructor collaborative grading approach: Topic-based effective grading for semi open-ended multipart questions by Phyo Yi Win Myint, Siaw Ling Lo, Yuhao Zhang

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Artificial intelligence in multimodal learning analytics: A systematic literature review by Mehrnoush Mohammadi, Elham Tajik, Roberto Martinez-Maldonado, Shazia Sadiq, Wojtek Tomaszewski, Hassan Khosravi

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Effects of adaptive feedback generated by a large language model: A case study in teacher education by Annette Kinder, Fiona J. Briese, Marius Jacobs, Niclas Dern, Niels Glodny, Simon Jacobs, Samuel Leßmann

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Beyond buzzwords: NLP reveals common threads in sustainable and circular construction discourse by Shakarim Aubakirov, Alexandr Pak, Iskander Akhmetov, Aidana Tleuken, Huseyin Atakan Varol, Assel Akzhalova, Ferhat Karaca

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Modeling the therapeutic dynamics of acupuncture and moxibustion: a systems biology approach to treatment optimization by Quan Gan, Qi-Wei Ge, Chuanxia Liu, Zhaoman Zhong, Jiaying Wu, Lei Shi, Jin Xu, Chen Li

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Self-learning type-2 fuzzy systems with adaptive rule reduction for time series forecasting by Abdulwhab Alkharashi, Gaganjot Kaur, Hadeel Alsolai, Hatim Dafaalla, Somia Asklany, Othman Alrusaini, Ali Alqazzaz, Menwa Alshammeri

“…Nonetheless, the complexity of Type-2 fuzzy models can produce overwhelming rules, compromising interpretability and computational efficiency. We present a Self-Learning Type-2 Fuzzy System with adaptive rule reduction that optimizes the rule base as forecast accuracy begins to deteriorate after adaptation. …”
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