Parents’ Role in Supporting, Brokering or Impeding Their Children’s Connected Learning and Media Literacy by Livingstone Sonia, Blum-Ross Alicia

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Machine Learning Models of Acute Kidney Injury Prediction in Acute Pancreatitis Patients by Cheng Qu, Lin Gao, Xian-qiang Yu, Mei Wei, Guo-quan Fang, Jianing He, Long-xiang Cao, Lu Ke, Zhi-hui Tong, Wei-qin Li

“…In the study, machine learning (ML) techniques were used to establish predictive models for AKI in AP patients during hospitalization. …”
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PROJECT DESIGN OF LEARNING ACTIVITY CYCLE FROM THE PERSPECTIVE OF ACTIVITY AND COMPETENCE APPROACH by E. O. Pokhomchikova

Subjects: “…: learning activity cycle…”
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Exploring the Potential Imaging Biomarkers for Parkinson’s Disease Using Machine Learning Approach by Illia Mushta, Sulev Koks, Anton Popov, Oleksandr Lysenko

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Profiles of technology-rich learning activities for early literacy and teachers’ roles in Korea by Boram No

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Chemical Diversity of UK-Grown Tea Explored Using Metabolomics and Machine Learning by Amanda J. Lloyd, Alina Warren-Walker, Jasen Finch, Jo Harper, Kathryn Bennet, Alison Watson, Laura Lyons, Pilar Martinez Martin, Thomas Wilson, Manfred Beckmann

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Balancing Privacy and Utility in Split Learning: An Adversarial Channel Pruning-Based Approach by Afnan Alhindi, Saad Al-Ahmadi, Mohamed Maher Ben Ismail

Subjects: “…Adversarial learning…”
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Unlocking Potential Score Insights of Sentimental Analysis with a Deep Learning Revolutionizes by Ibrahim R. Alzahrani

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Freedom of Expression: what lessons should we learn from US experience? by Ronaldo Porto Macedo Junior

“…This article advocates that Brazilian interpretation of freedom expression has a lot to learn from the US model and doctrine. The US more strict and conceptual jurisprudence on this issue offers a powerful and democratic alternative to the balancing model and represents a rich conceptual analysis still unknown by Brazilian courts.…”
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Applying Data Analysis and Machine Learning Methods to Predict Permafrost Coast Erosion by Daria Bogatova, Stanislav Ogorodov

“…This study aims to establish a scientific and methodological basis for predicting shoreline positions using modern data analysis and machine learning techniques. The focus area is a 5 km section of the Ural coast along Baydaratskaya Bay in the Kara Sea. …”
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Mathematical Modeling of Properties and Structures of Crystals: From Quantum Approach to Machine Learning by Grzegorz Matyszczak, Christopher Jasiak, Gabriela Rusinkiewicz, Kinga Domian, Michał Brzozowski, Krzysztof Krawczyk

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The Use of Semantic Translation Strategy in English Learning from the EFL Learners’ Perspective by Aswan Jasim

“… The learners’ attitudes have a great affect on their consciousness and ability to learn. The high positive attitudes toward a certain strategy would results in creating effective learning process . …”
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FL-Joint: joint aligning features and labels in federated learning for data heterogeneity by Wenxin Chen, Jinrui Zhang, Deyu Zhang

Subjects: “…Federated learning…”
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Can AI/Machine Learning Make Physical Therapy Valuable in the Healthcare Marketplace? by Reuben Gobezie

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Cooperative learning strategy type STAD for economic business in SMK Bhakti Bangsa by Muhammad Fasya Fanshary Aksa, Maya Gita Cahyani, Amanda Tri Damayanti

Subjects: “…cooperative learning…”
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Utilizing item response theory for the analysis of self-regulated learning scale in mathematics by Sintha Sih Dewanti, Jasmine Nurul Izzah, Shinta Puspa Kiranasari, Kholifatul Fatoni Sholihin

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Retracted: Vocational Therapy of Physical Training for Children’s Learning Motivation and Psychological Cognition by Occupational Therapy International

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Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System by Takashi Kuremoto, Takahito Komoto, Kunikazu Kobayashi, Masanao Obayashi

“…The improved SOM is applied to construct a voice instruction learning system for partner robots adopting a simple reinforcement learning algorithm. …”
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Deep learning based tractography with TractSeg in patients with hemispherotomy: Evaluation and refinement by Johannes Gruen, Tobias Bauer, Theodor Rüber, Thomas Schultz

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Deep reinforcement learning for active flow control in a turbulent separation bubble by Bernat Font, Francisco Alcántara-Ávila, Jean Rabault, Ricardo Vinuesa, Oriol Lehmkuhl

“…Abstract The control efficacy of deep reinforcement learning (DRL) compared with classical periodic forcing is numerically assessed for a turbulent separation bubble (TSB). …”
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