Model of University's Career Guidance Activities within the Context of Lifelong Learning by L. V. Ovsienko, I. V. Zimina

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Indoor dynamic environment lo calization algorithm based on transfer learning by Can LIU, Junna SHANG, Ruijiang LI, Keqiang YUE

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Ulnar variance detection from radiographic images using deep learning by Sahar Nooh, Abdelrahim Koura, Mohammed Kayed

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Effect of Associative Learning on Memory Spine Formation in Mouse Barrel Cortex by Malgorzata Jasinska, Ewa Siucinska, Ewa Jasek, Jan A. Litwin, Elzbieta Pyza, Malgorzata Kossut

“…Associative fear learning, in which stimulation of whiskers is paired with mild electric shock to the tail, modifies the barrel cortex, the functional representation of sensory receptors involved in the conditioning, by inducing formation of new inhibitory synapses on single-synapse spines of the cognate barrel hollows and thus producing double-synapse spines. …”
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The Relationship of Online Learning and Information Technology with Cognitive, Affective, and Psychomotor Abilities by Sidik Awaludin, Usman Chatib Warsa, Soetrisno Soemardjo, Elly Nurachmah, Arum Atmawikarta, Dwi Novitasari

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Information Compression as a Unifying Principle in Human Learning, Perception, and Cognition by J. Gerard Wolff

“…This paper reviews evidence for the idea that much of human learning, perception, and cognition may be understood as information compression and often more specifically as “information compression via the matching and unification of patterns” (ICMUP). …”
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Patients seeking information about colonoscopy – lessons learned from Google by Dariusz Łaski, Adrian Perdyan, Piotr Spychalski, Andrzej J. Łachiński, Zbigniew Śledziński, Anna Tybińkowska, Jarek Kobiela

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The benefits of applying Kahoot media in modern EFL teaching-learning contexts by Kristian Florensio Wijaya

Subjects: “…efl learning process…”
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Machine learning empowered coherent Raman imaging and analysis for biomedical applications by Yihui Zhou, Xiaobin Tang, Delong Zhang, Hyeon Jeong Lee

“…Here, we present a comprehensive review of the latest advancements in the application of machine learning in the molecular spectroscopic imaging fields. …”
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Learning and teaching through inquiry with geospatial technologies: A systematic review by Vendula Mašterová

“…The results of the studies indicate that prior teacher preparation is necessary for this type of learning and teaching,  and that students develop digital competencies and knowledge related to GST and the topic of the learning task that is addressed using these technologies. …”
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Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

Subjects: “…under the curve maximization learning…”
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Dendritic Spines in Depression: What We Learned from Animal Models by Hui Qiao, Ming-Xing Li, Chang Xu, Hui-Bin Chen, Shu-Cheng An, Xin-Ming Ma

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Learning dynamics of muscle synergies during non-biomimetic control maps by King Chun Tse, Patricia Capsi-Morales, Cristina Piazza

“…Among them, the need for extensive learning periods and users’ limited control proficiency. …”
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The connecting brain in context: How adolescent plasticity supports learning and development by Amanda E. Baker, Adriana Galván, Andrew J. Fuligni

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Improvement in Automated Diagnosis of Soft Tissues Tumors Using Machine Learning by El Arbi Abdellaoui Alaoui, Stéphane Cédric Koumetio Tekouabou, Sri Hartini, Zuherman Rustam, Hassan Silkan, Said Agoujil

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Wireless key generation system for internet of vehicles based on deep learning by Han WANG, Liquan CHEN, Zhongmin WANG, Tianyu LU

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Machine Learning Approaches in High Myopia: Systematic Review and Meta-Analysis by Huiyi Zuo, Baoyu Huang, Jian He, Liying Fang, Minli Huang

“… BackgroundIn recent years, with the rapid development of machine learning (ML), it has gained widespread attention from researchers in clinical practice. …”
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LBNP: Learning features between neighboring points for point cloud classification by Lei Wang, Ming Huang, Zhenqing Yang, Rui Wu, Dashi Qiu, Xingxing Xiao, Dong Li, Cai Chen

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Rasch Model Application: Instrument Development of Readiness to Conduct Inclusive Learning by Ratna Sari, M Nurul Ikhsan Saleh

Subjects: “…readiness, inclusive learning, rasch model…”
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Prediction of pulmonary embolism by an explainable machine learning approach in the real world by Qiao Zhou, Ruichen Huang, Xingyu Xiong, Zongan Liang, Wei Zhang

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