Simulation-based learning and digital tools. A trial for Pharmacy Services by Fabrizio Bracco, Maria Carola Morozzo della Rocca, Federica Delprino, Silvia Pregaglia

“…The essay deals with the simulation method as an established tool in learning medical disciplines, declining it in an unprecedented scenario such as pharmaceuticals and experimenting with its digitisation. …”
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Development of Pop-Up Book Media in Science Learning for Elementary School by Rhamdani Rhamdani, Zaka Hadikusuma Ramadan

“… This research aims to develop learning media in the form of Pop-Up Book media during offline learning activities. …”
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Implementation of the online learning process for students of UIN Imam Bonjol Padang by N. Nadhilah, R. Rusman

Subjects: “…implementation of learning…”
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Teachers’ perceptions of their self-regulated learning practices in elementary school classrooms by Stephanie Greenquist-Marlett, Linda Bol, Courtney Hill

Subjects: “…self-regulated learning…”
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Study approaches mediate associations between learning environment and academic performance by Tore Bonsaksen, Amayra Tannoubi, Linda Stigen, Astrid Gramstad, Tove Carstensen, Gry Mørk

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Application of machine learning in depression risk prediction for connective tissue diseases by Leilei Yang, Yuzhan Jin, Wei Lu, Xiaoqin Wang, Yuqing Yan, Yulan Tong, Dinglei Su, Kaizong Huang, Jianjun Zou

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Advances in the clinical application of machine learning in acute pancreatitis: a review by Zhaowang Tan, Gaoxiang Li, Yueliang Zheng, Qian Li, Wenwei Cai, Jianfeng Tu, Senjun Jin

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How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences by Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, Alexander Brenning, Wantong Li, Markus Reichstein, Joachim Denzler, Wei Shangguan, Guo Yu, Feini Huang, Jakob Zscheischler

Subjects: “…machine learning…”
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Performance of Quantum Annealing Machine Learning Classification Models on ADMET Datasets by Hadi Salloum, Kamil Sabbagh, Vladislav Savchuk, Ruslan Lukin, Osama Orabi, Marat Isangulov, Manuel Mazzara

“…The advancement of quantum annealers has spurred experimental demonstrations and intensified research interest, particularly in quantum machine learning. However, the application of quantum annealing in machine learning remains limited due to the lack of conclusive performance evaluations on real-world datasets. …”
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Truth, beauty, and goodness in grand unification: A machine learning approach by Shinsuke Kawai, Nobuchika Okada

“…We investigate the flavour sector of the supersymmetric SU(5) Grand Unified Theory (GUT) model using machine learning techniques. The minimal SU(5) model is known to predict fermion masses that disagree with observed values in nature. …”
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An Intelligent Optimization Strategy Based on Deep Reinforcement Learning for Step Counting by Zhoubao Sun, Pengfei Chen, Xiaodong Zhang

“…To solve the problems that the existing algorithms use threshold to filter noise, and the parameters cannot be updated in time, an intelligent optimization strategy based on deep reinforcement learning is proposed. In this study, the counting problem is transformed into a serialization decision optimization. …”
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Challenges with reinforcement learning model transportability for sepsis treatment in emergency care by Peter C. Nauka, Jason N. Kennedy, Emily B. Brant, Matthieu Komorowski, Romain Pirracchio, Derek C. Angus, Christopher W. Seymour

“…Abstract Pivotal moments in sepsis care occur in the emergency department (ED), however, and it is unclear whether ED data is adequate to inform reinforcement learning (RL) models. We evaluated the early opportunity for the AI Clinician, a validated ICU-based RL-model, as a use case. …”
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CDSS-Pan: Convolutional Dictionary Learning With State Space Model for Pansharpening by Zixu Li, Jintao Song, Genji Yuan, Jinjiang Li

Subjects: “…Convolutional dictionary learning…”
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Substorm Onset Prediction Using Machine Learning Classified Auroral Images by P. Sado, L. B. N. Clausen, W. J. Miloch, H. Nickisch

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Risk factors and machine learning prediction models for intrahepatic cholestasis of pregnancy by Yingchun Ren, Xiaoying Shan, Gengchao Ding, Ling Ai, Weiying Zhu, Ying Ding, Fuzhou Yu, Yun Chen, Beijiao Wu

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Enhanced Neural Architecture for Real-Time Deep Learning Wavefront Sensing by Jianyi Li, Qingfeng Liu, Liying Tan, Jing Ma, Nanxing Chen

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Fusion-Decomposition Pan-Sharpening Network With Interactive Learning of Representation Graph by Yunxuan Tang, Xue Wang, Peng Liu, Tong Li

Subjects: “…Deep learning (DL)…”
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Research on a dynamic self-learning efficient intrusion detection model by YANG Wu1, ZHANG Bing2, ZHOU Yuan2, WANG Wei1

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Emergence of Prediction by Reinforcement Learning Using a Recurrent Neural Network by Kenta Goto, Katsunari Shibata

“…Among such functions, this paper focuses on learning “prediction” that is attracting attention recently from the viewpoint of autonomous learning. …”
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Mobile visual searching method based on ascending extreme learning machine by Haiyang HU, Jun XU, Hua HU

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