Distributed cross-learning for equitable federated models - privacy-preserving prediction on data from five California hospitals by Tsung-Ting Kuo, Rodney A. Gabriel, Jejo Koola, Robert T. Schooley, Lucila Ohno-Machado

“…We introduce Distributed Cross-Learning for Equitable Federated models (D-CLEF), which incorporates horizontally- or vertically-partitioned data without disseminating patient-level records, to protect patients’ privacy. …”
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Optimizing fast charging protocols for lithium-ion batteries using reinforcement learning: Balancing speed, efficiency, and longevity by Khairy Sayed, Mahmoud Aref, Mishari Metab Almalki, Mahmoud A. Mossa

Subjects: “…Reinforcement learning…”
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Combination of mentor-based and resident-based learning may benefit to improving the ability of clinical practice in resident training by Min Li, Tao Liu, Yiqiong Wen, Min Zhang, Wenye Zhu, Xuming Wang, Yunjiao Hou, Lin Li, Anju Zu, Shibo Sun

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LISTENING AND SPEAKING SKILLS AS LEARNING AND TARGET NEEDS IN BUSINESS ENGLISH PROGRAM FOR TOUR GUIDE DIPLOMA STUDENTS IN KENYA. by Douglas Ondara Orang'i

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Beyond motor learning: Insights from infant magnetic resonance imaging on the critical role of the cerebellum in behavioral development by Lauren Wagner, Melis E Cakar, Megan Banchik, Emily Chiem, Siobhan Sive Glynn, Amy H Than, Shulamite A Green, Mirella Dapretto

“…We conclude that the cerebellum is implicated in many non-motor behaviors and implicit learning mechanisms in infancy. The field’s current limitations include inconsistencies in study design, a paucity of gold-standard infant neuroimaging tools, and treatment of the cerebellum as a uniform structure. …”
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Predicting the reduction in heatstroke and heart disease-related mortality under urban modification scenarios using machine learning by Yukitaka Ohashi, Ko Nakajima, Yuya Takane, Yukihiro Kikegawa, Tomohiko Ihara, Kazutaka Oka

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Archaeological Site Detection: Latest Results from a Deep Learning Based Europe Wide Hillfort Search by Jürgen Landauer, Simon Maddison, Giacomo Fontana, Axel G. Posluschny

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A feature extraction method for hydrofoil attached cavitation based on deep learning image semantic segmentation algorithm by Yingyuan Liu, Yizhi Wang, Kang An

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The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network by A.V. Medvedev, B. Lehmann

“…New artificial intelligence methods such as deep learning neural networks can provide powerful tools for automated analysis of EEG. …”
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Machine learning algorithm for estimating and optimizing the phytochemical content and physicochemical properties of okra slices in an infrared heating system by Hany S. El-Mesery, Ahmed H. ElMesiry, Evans K. Quaye, Zicheng Hu, Ali Salem

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Enhancing navigation performance in unknown environments using spiking neural networks and reinforcement learning with asymptotic gradient method by Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Xuhui Huang, Zhe Ma

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UPAYA MENINGKATKAN MOTIVASI DAN HASIL BELAJAR SISWA DENGAN MODEL DISCOVERY LEARNING BERBANTUAN VIRTUAL LABORATORY by Faiz Brikinzky Adyan, Andik Purwanto, Nirwana Nirwana

“…Based in result of studied it was concluded that the application of Discovery Learning model assisted Virtual Laboratory can improve student learning activities, learning motivation of student and learning outcomes  Keywords : Model Discovery Learning, Virtual Laboratory, Learning Motivation and Learning Outcomes …”
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The implementation of TPS (think pair share) cooperative learning model aided by Google hangouts in literary expression course by Fina Hiasa, Supadi Supadi, Nafri Yanti

“…This study aims to determine how the application of the TPS (Think-Pair-Share) type of cooperative learning model assisted by Google Hangout can improve the quality of learning in seventh semester students of the Indonesian Language Education Study Program, FKIP UNIB, in the Literary Expression course. …”
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Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression by Joseph M. Josephides, Chun-Long Chen

“…Here, we develop MnM, an efficient machine learning-based tool that allows disentangling scRT profiles from heterogenous samples. …”
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Shuffle-PG: Lightweight feature extraction model for retrieving images of plant diseases and pests with deep metric learning by Dong Jin, Helin Yin, Yeong Hyeon Gu

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Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network by Rusvaira Qatrunnada, Novizon Novizon, Mardini Hasanah, Tuti Angraini, Anton Anton

Subjects: “…distributed generation, learning vector quantitation, power, entropy, total harmonic distortion.…”
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Design of a Process Control Laboratory Curriculum Incorporating Simulation Modules and Hands-On Training for Enhanced Learning Experience by Serene Sow Mun Lock, Irene Sow Mei Lock, Lam Ghai Lim

“…Advanced Bloom's Taxonomy and the Five Es Inquiry-Based Learning model were key components, allowing students to design their own labs and explore foundational control principles. …”
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Maternal exposure to deltamethrin during pregnancy and lactation impairs hippocampal learning and memory function of male offspring by ferroptosis by Shasha Huang, Wanqi Li, Dengke Wang, Huiwen Feng, Bo Wang, Xinyu Dong, Wei Zhao, Dan Liu, Yuan Wang

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Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology by Ayako Yagahara, Masahito Uesugi, Hideto Yokoi

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Visual Perceptions Skills and its Association with Written Mathematical Communication Skills among Learning Disabilities Students in Jordan by Saida Aladwan, Worud Awamleh, Mona Qutaifan Ershed Alfayez, Hassan Rafi’ Ali Shaheen, Muna Saleem Taha Abutaha

“…# Aim The present research sought at investigating the association between visual perception skills and written mathematical communication skills among a sample of students with learning disabilities in mathematics in Jordan. # Method This was a cross-sectional correlational study that included a sample of 90 primary-stage students who were diagnosed as having learning disabilities in mathematics. …”
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