Implementation of Vygotsky's Theory of Social Constructivism in Learning Pancasila Education in Elementary Schools As Strengthening Cooperation Attitudes by Ressi Kartika Dewi, Munawir Yusuf, Subagya Subagya

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Deep Reinforcement Learning Assisted UAV Path Planning Relying on Cumulative Reward Mode and Region Segmentation by Zhipeng Wang, Soon Xin Ng, Mohammed EI-Hajjar

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Prediction of successful weaning from renal replacement therapy in critically ill patients based on machine learning by Qiqiang Liang, Xin Xu, Shuo Ding, Jin Wu, Man Huang

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LOTS and HOTS reading questions in EFL textbooks (Kurikulum Merdeka): unveiling every learning process purposes by Maria Kartika Widiastuti, Concilianus Laos Mbato

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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

Subjects: “…new teaching and learning policy…”
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Deep Learning-Based Smart Hybrid Solar Water Heater Erection Model to Extract Maximum Energy by Bharathi M L, T. Sripriya, B. Muthuraj, D. Sateesh Kumar, V. Venkatesh, Badireddy Satya Sridevi, Munaga Masthan Siva Krishna, K. Rajan, Abdi Diriba

“…In this paper, a smart deep learning model was proposed to improve the performance of the solar water heater. …”
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Speech performance in language teaching-learning: Culturally textual and non-textual landscapes of Toba Caldera Geosites by Robert Sibarani, Mangatur Nababan, Wahyudi Wahyudi, Defri Elias Simatupang, Yessy Octavianna

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Modeling eating behaviors: The role of environment and positive food association learning via a Ratatouille effect by Anarina L. Murillo, Muntaser Safan, Carlos Castillo-Chavez, Elizabeth D. Capaldi Phillips, Devina Wadhera

“…The impact of food association learning on diet dynamics, inspired by a pilot study conducted among Arizona children in Pre-Kindergarten to 8th grades, is used to build simple population-level learning models. …”
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K-12 teachers’ perceptions of the effectiveness of online EFL teaching and learning during the COVID-19 pandemic by Zou Bin, Chen Xinyi, Sun Weifeng

“…Journal of China Computer-Assisted Language Learning…”
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Spatiotemporal variation and influencing factors of phosphorus in Asia’s longest river based on receptor model and machine learning by Gege Cai, Jiamei Zhang, Wanlu Li, Jiejun Zhang, Yun Liu, Shanshan Xi, Guolian Li, Haibin Li, Xing Chen, Fanhao Song, Fazhi Xie

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Intelligent deep federated learning model for enhancing security in internet of things enabled edge computing environment by Nasser Nammas Albogami

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Two-centers machine learning analysis for predicting acid-fast bacilli results in tuberculosis sputum tests by Jichong Zhu, Yong Zhao, Chengqian Huang, Chenxing Zhou, Shaofeng Wu, Tianyou Chen, Xinli Zhan

Subjects: “…Machine learning…”
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Searching for new genes associated with the familial hypercholesterolemia phenotype using whole-genome sequencing and machine learning by D. E. Ivanoshchuk, A. B. Kolker, O. V. Timoshchenko, S. E. Semaev, E. V. Shakhtshneider

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Accelerating biopharmaceutical cell line selection with label-free multimodal nonlinear optical microscopy and machine learning by Jindou Shi, Alexander Ho, Corey E. Snyder, Eric J. Chaney, Janet E. Sorrells, Aneesh Alex, Remben Talaban, Darold R. Spillman, Marina Marjanovic, Minh Doan, Gary Finka, Steve R. Hood, Stephen A. Boppart

“…This integrated optical bioimaging and machine learning approach presents a promising solution to expedite cell line selection process while ensuring identification of high-performing biopharmaceutical cell lines. …”
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Machine learning models reveal microbial signatures in healthy human tissues, challenging the sterility of human organs by Anargyros Skoulakis, Anargyros Skoulakis, Giorgos Skoufos, Giorgos Skoufos, Armen Ovsepian, Armen Ovsepian, Artemis G. Hatzigeorgiou, Artemis G. Hatzigeorgiou

“…Our study endeavors to discern microbial signatures within normal human internal tissues using data from the Genotype-Tissue Expression (GTEx) consortium. Machine learning (ML) models were developed to classify each tissue type based solely on microbial profiles, with the identification of tissue-specific microbial signatures suggesting the presence of distinct microbial communities inside tissues.MethodsWe analyzed 13,871 normal RNA-seq samples from 28 tissues obtained from the GTEx consortium. …”
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Enhanced Multi-UAV Path Planning in Complex Environments With Voronoi-Based Obstacle Modelling and Q-Learning by Wenjia Su, Min Gao, Xinbao Gao, Zhaolong Xuan

“…Leveraging the improved Q-learning algorithm for single UAVs, the Q-table is iteratively refined for a fleet of UAVs, with dynamic modifications based on the waypoints chosen by each UAV. …”
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Diagnosis Osteoporosis Risk: Using Machine Learning Algorithms Among Fasa Adults Cohort Study (FACS) by Saghar Tabib, Seyed Danial Alizadeh, Aref Andishgar, Babak Pezeshki, Omid Keshavarzian, Reza Tabrizi

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A Client-Centric Evaluation System to Evaluate Guest’s Satisfaction on Airbnb Using Machine Learning and NLP by Mohamed Chiny, Omar Bencharef, Moulay Youssef Hadi, Younes Chihab

“…In this study, we took a machine learning-based approach to examine 100,000 customer reviews left on the Airbnb platform to identify different dimensions that shape customer satisfaction according to each category studied (individuals, couples, and families). …”
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Assessing learning, behaviour, and stress level in goats while testing a virtual fencing training protocol by L. Wilms, D. Hamidi, C.H.U. Lüntzel, M. Hamidi, M. Komainda, R. Palme, J. Isselstein, S. Waiblinger, M. Egerbacher

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Detection of selective forwarding attacks based on adaptive learning automata and communication quality in wireless sensor networks by Hongliang Zhu, Zhihua Zhang, Juan Du, Shoushan Luo, Yang Xin

“…The adaptive reward and penalty parameters of a detection learning automata are determined by the comprehensive communication quality of the node and the voting of its neighbors to reward normal nodes or punish malicious ones. …”
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