Revolutionizing healthcare data analytics with federated learning: A comprehensive survey of applications, systems, and future directions by Nisha Thorakkattu Madathil, Fida K. Dankar, Marton Gergely, Abdelkader Nasreddine Belkacem, Saed Alrabaee

“…Our review elucidates the functioning of FL systems, particularly in comparison with alternative distributed learning approaches. …”
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Unravelling the human taste receptor interactome: machine learning and molecular modelling insights into protein-protein interactions by Harry Zaverdas, Filip Stojceski, Rocío Romero-Zaliz, Lampros Androutsos, Pantelis Makrygiannis, Lorenzo Pallante, Vanessa Martos, Gianvito Grasso, Marco A. Deriu, Konstantinos Theofilatos, Seferina Mavroudi

“…To this end, we propose a comprehensive machine learning approach to accurately predict and quantify protein-protein interactions using an ensemble evolutionary algorithm. 1,647,374 positive and 894,213 negative experimentally verified protein-protein interactions were mined and characterized using 61 functional orthology, sequence, co-expression and structural features. …”
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Revealing the Power of Minds Online: Validating Instruments for Reflective Thinking, Self-Efficacy, and Self-Regulated Learning by Sapriati Amalia, Sekarwinahyu Mestika, Puspitasari Maya, Amastini Fitria

“…Strong interrelationships between reflective thinking, self-efficacy, and SRL are revealed by the study, therefore underscoring their joint functions in improving online learning environments. …”
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A Service-Learning proposal for Architecture, Building and Urbanism Students: getting involved in Education Tours in Madrid by Gabriel Pinto, Victoria Alcázar, María M. Conde, Ángel Aguero, Marina P. Arrieta, Freddys R. Beltrán, Patricia García-Muñoz, Javiera A. Sepulveda

“…A Service-Learning methodology has been employed by professors and students at the Universidad Politécnica de Madrid to design and conduct two educational tours: "Spanish Enlightenment and the discovery of three chemical elements" and "The ‘altos del hipódromo’, a significant area during the 'Silver Age' of Spanish culture (1868-1936)". …”
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Deep Learning‐Coupled Metabolic Heat Integrated Sensing System for Noninvasive Continuous Monitoring of Blood Glucose by Haolin Wang, Chuanjie Yao, Zhibo Liu, Xinze Wang, Zhengjie Liu, Tao Zhang, Xinshuo Huang, LinGe Wang, Yuedan Wang, Gemin Xiao, Shady Farah, Hui‐jiuan Chen, Xi Xie

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Normal and slow learners: a new discriminative method based on the speed of spatial learning in aged mice by Céline Duffau, Senka Hadzibegovic, Senka Hadzibegovic, Vojislav Andelkovic, Vojislav Andelkovic, Bruno Bontempi, Bruno Bontempi, Olivier Nicole, Olivier Nicole

“…Aging is accompanied by a decline in cognitive functions, including spatial memory, yet significant variability exists in the learning abilities of older individuals. …”
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A quasi-opposition learning and chaos local search based on walrus optimization for global optimization problems by Yier Li, Lei Li, Zhengpu Lian, Kang Zhou, Yuchen Dai

“…To test the capabilities, the QOCWO algorithm is applied to the 23 standard functions and compared with seven other algorithms. …”
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Exploring the Impact of Artificial Intelligence in Advancing Smart Learning in Education: A Meta-Analysis with Statistical Evidence by Muhammad Younas, Iskander Ismayil, Dina Abdel Salam El-Dakhs, Behzad Anwar

“… This meta-analysis examines the diverse effects of artificial intelligence (AI), notably ChatGPT, on intelligent learning in the education industry over the last four years. …”
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Presenting the Professional Competency Model of Teachers in the E-Learning Environment of Primary Schools: A Qualitative Study by Khatereh Nesari, Jaafar Rahmani, Gholamreza Sharifi Rad

“…As a result, researchers have directed their attention towards examining the competencies of teachers in the e-learning setting. The aim of the present study was to develop a professional competence model that pertains to teachers functioning within the electronic learning environment of primary schools located in Qom. …”
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A STUDY ON THE MONITORING MANAGEMENT SYSTEM FOR ANALYZING THE HEALTH STATUS OF LIVESTOCK CATTLE BASED ON MACHINE LEARNING by Cho Jeong Hyun

“…These systems for monitoring and analyzing livestock behavior have primarily focused on single functions such as estrus detection, body temperature monitoring, and movement pattern monitoring. …”
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Revealing nanostructures in high-entropy alloys via machine-learning accelerated scalable Monte Carlo simulation by Xianglin Liu, Kai Yang, Yongxiang Liu, Fanli Zhou, Dengdong Fan, Zongrui Pei, Pengxiang Xu, Yonghong Tian

“…The GPU implementation, SMC-GPU, harnesses massive parallelism to enable billion-atom simulations when combined with machine-learning surrogates of density functional theory (DFT). …”
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Machine learning assisted in Silico discovery and optimization of small molecule inhibitors targeting the Nipah virus glycoprotein by Jawaher A. Abdulhakim

“…This investigation employed in silico methods that were assisted by machine learning to identify small-molecule inhibitors that target the NiV glycoprotein, a critical component of viral entry. …”
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Learners’ Perceptions Of Generative Ai In Chinese Language Learning: A Pilot Study In Irish Higher Education by Hongfei Wang

“… This pilot study explores the integration of Generative AI, specifically ChatGPT, as a Technology-Enhanced Language Learning (TELL) tool in Chinese as an Additional Language (CAL) education in Irish higher education. …”
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Universities Confront ‘Tech Disruption’: Perceptions of Student Engagement Online Using Two Learning Management Systems by Meggan M. Jordan, N. Danielle Duckett

“…This article is a teaching note on the experiences of students and professors as they adapted to the use of a new learning management system (LMS). Using pedagogical theories of student engagement and the online learning process, we explore how the design of an LMS affects student satisfaction and interaction with peers and the instructor. …”
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Deep Reinforcement Learning-Based Multi-Agent System with Advanced Actor–Critic Framework for Complex Environment by Zihao Cui, Kailian Deng, Hongtao Zhang, Zhongyi Zha, Sayed Jobaer

“…The development of artificial intelligence (AI) game agents that use deep reinforcement learning (DRL) algorithms to process visual information for decision-making has emerged as a key research focus in both academia and industry. …”
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Enhancing energy efficiency and cpu utilization in edge computing through deep learning-based data smoothing by Himabindu Sathyaveti, C. Gomathy

“…Proper training and inference occur in resource-limited settings for SOResNet, thanks to combining learning rate variables and different loss functions. …”
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DeepMethyGene: a deep-learning model to predict gene expression using DNA methylations by Yuyao Yan, Xinyi Chai, Jiajun Liu, Sijia Wang, Wenran Li, Tao Huang

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Teaching and Learning English in Times of the Pandemic – A Case Study in a North-Macedonian Primary School by Rashit Emini, Sharon C. Lee

“…The worldwide spread of the coronavirus has caused a huge turmoil in people’s lives, significantly impacting the functioning of educational institutions which imposed a shift from traditional face-to-face teaching to online education. …”
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Identification of novel diagnostic and prognostic microRNAs in sarcoma on TCGA dataset: bioinformatics and machine learning approach by Rahem Rahmati, Fatemeh Zarimeidani, Farnaz Ahmadi, Hannaneh Yousefi-Koma, Abdolreza Mohammadnia, Maryam Hajimoradi, Shadi Shafaghi, Elham Nazari

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Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning. by Yunhu Huang, Wenzhu Lai, Dewang Chen, Geng Lin, Jiateng Yin

“…On the basis of EITOE, we propose EITOP algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”
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