Integrating local wisdom into learning in school’s curriculum: A bibliometric analysis by K. Khusyairin, Udin Saefudin Sa'ud, S. Sururi, Nani Hartini

“…This study presents a bibliometric analysis of research on integrating local wisdom into school learning, providing a comprehensive overview of scholarly developments from 2010 to 2024. …”
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THE PRACTICES OF PROJECT-BASED LEARNING TECHNIQUE APPLICATION: EXPERIENCE OF DIFFERENT COUNTRIES by A. P. Kazun, L. S. Pastukhova

“…The methodological framework of the present research is based on systemic and active approaches. …”
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Revolutionizing total hip arthroplasty: The role of artificial intelligence and machine learning by Umile Giuseppe Longo, Sergio De Salvatore, Alice Piccolomini, Nathan Samuel Ullman, Giuseppe Salvatore, Margaux D'Hooghe, Maristella Saccomanno, Kristian Samuelsson, Rocco Papalia, Ayoosh Pareek

“…The aim of this review is to analyze the most updated articles on AI/ML applications in THA as well as present the potential of these tools in optimizing patient care and THA outcomes. …”
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Deep learning for strawberry runner detection integrating ground and aerial imaging by Xue Zhou, Xu Wang, Liyike Ji, Santhi Daggubati, Kai Shen, Vance M. Whitaker

“…Accurate and efficient detection of strawberry runners is crucial for research applications and for developing runner removal solutions in commercial fruit production. This study presented a deep learning-based approach to automate runner detection under field conditions using images collected from diverse platforms. …”
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Thermal damage detection of EAST internal component based on machine learning by Zhongfang Guan, Bin Zhang, Jian Liu, Jinping Qian, Xianzu Gong, Runze Chen, Zuhao Wang, Binfu Gao, Yutong Guo, Chuannan Xuan, Cong Cao, Tianqi Jia, Pan Li, Wenbin Liu, Wei Wang, Yunchan Hu, Yifan He, Kangjia Yang, Wenyi Lu, Chunyu He, the EAST team

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Explainable Reinforcement and Causal Learning for Improving Trust to 6G Stakeholders by Miguel Arana-Catania, Amir Sonee, Abdul-Manan Khan, Kavan Fatehi, Yun Tang, Bailu Jin, Anna Soligo, David Boyle, Radu Calinescu, Poonam Yadav, Hamed Ahmadi, Antonios Tsourdos, Weisi Guo, Alessandra Russo

“…It identifies key stakeholder groups, maps their needs to X-DRL solutions, and presents case studies showcasing practical applications. …”
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FORMATION OF STUDENTS’ SCIENTIFIC THINKING BASED ON THE LEARNING OF METHODS OF THE SUBSTANCE ANALYSIS by M. A. Kosareva, L. A. Baikova, E. A. Nikonenko, V. V. Vaitner, A. N. Gabdullin

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SVM directed machine learning classifier for human action recognition network by Dharmanna Lamani, Pramod Kumar, A Bhagyalakshmi, J. Maria Shanthi, Lakshmana Phaneendra Maguluri, Mohammad Arif, C Dhanamjayulu, Sathish Kumar. K, Baseem Khan

“…The suggested method presents an innovative pipeline for creating spatial motion data from raw video inputs, which makes successful latent representation learning of human motions easier to accomplish. …”
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Prognostic predictions in psychosis: exploring the complementary role of machine learning models by Metten Somers, Hugo G Schnack, Rene S Kahn, Diane F van Rappard, Frank L Gerritse, Edwin van Dellen, Violet van Dee, Seyed M Kia, Caterina Fregosi, Wilma E Swildens, Anne Alkema, Albert Batalla, Coen van den Berg, Danko Coric, Lotte G Dijkstra, Arthur van den Doel, Livia S Dominicus, John Enterman, Marte Z van der Horst, Fedor van Houwelingen, Charlotte S Koch, Lisanne E M Koomen, Marjan Kromkamp, Michelle Lancee, Brian E Mouthaan, Eline J Regeer, Raymond W J Salet, Jorgen Straalman, Marjolein H T de Vette, Judith Voogt, Inge Winter-van Rossum, Wiepke Cahn

“…Background Predicting outcomes in schizophrenia spectrum disorders is challenging due to the variability of individual trajectories. While machine learning (ML) shows promise in outcome prediction, it has not yet been integrated into clinical practice. …”
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UAV spatiotemporal crowdsourcing resource allocation based on deep reinforcement learning by Yaxi LIU, Xulong LI, Jiahao HUO, Wei HUANGFU

“…To address these shortcomings, this paper presents a novel deep reinforcement learning-based framework for UAV spatiotemporal crowdsourcing resource allocation. …”
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Problems of analysis of the relationship between the learning context and TIMSS testing results by L. M. Nurieva, S. G. Kiselev

“…The authors think that the main reason for such difficulties is inattention to the peculiarities of the indicators used in the calculation of measures of statistical relationships. Aim. The present research aims to identify a statistical relationship between test results and indicators of the context of schoolchildren’s learning, as well as the influence of the TIMSS information collection and processing system on the productivity of analysing the research results.Methodology and research methodology. …”
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Generalized domain prompt learning for accessible scientific vision-language models by Qinglong Cao, Yuntian Chen, Lu Lu, Hao Sun, Zhengzhong Zeng, Xiaokang Yang, Dongxiao Zhang

“…Extensive experiments across diverse domains—including remote sensing, medical imaging, geology, synthetic aperture radar, and fluid dynamics—demonstrate the effectiveness of the framework, achieving state-of-the-art domain recognition performance within a prompt learning structure. Our work presents a pathway for inclusive and sustainable research that bridges the gap between academia and industry, empowering smaller research groups and promoting broader access to cutting-edge advancements in the context of future sustainable development. …”
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Exploring diversity in PE teacher training: Immersive learning challenges & potentials by Silke Haas, Julia Besch

“…Based on this, questions arise about the learning-effective design features of immersive methods regarding complex learning objectives in teacher training. …”
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Machine learning model for random forest acute oral toxicity prediction by A.M. Elsayad, M.M. Zeghid, K.A. Elsayad, A.N. Khan, ِA.K.M. Baareh, A. Sadiq, S.A. Mukhtar, H.F. Ali, S. Abd El-kader

“…To address this imbalance, strategies such as cost-sensitive learning and data resampling techniques, including both under sampling and oversampling, were utilized. …”
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Analysing the psychological capital influence on academic performance in an e-learning environment by Lama Sameer Khoshaim

“…Additionally, the study’s rigorous research methodology underscores its commitment to ethical and responsible research conduct. The research also presents valuable demographic data on generational cohorts and gender, offering insights into how these factors influence e-learning outcomes. …”
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Dynamic Surgical Prioritization: A Machine Learning and XAI-Based Strategy by Fabián Silva-Aravena, Jenny Morales, Manoj Jayabalan, Muhammad Ehsan Rana, Jimmy H. Gutiérrez-Bahamondes

“…Surgical waiting lists present significant challenges to healthcare systems, particularly in resource-constrained settings where equitable prioritization and efficient resource allocation are critical. …”
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Performance of normal adults on Rey Auditory Learning Test: a pilot study Desempenho de indivíduos saudáveis no Rey Auditory Verbal Learning Test (RAVLT): estudo piloto by Leila Cardoso Teruya, Karin Zazo Ortiz, Thaís Soares Cianciarullo Minett

“…Overall performance decreased with age. Schooling presented a strong and positive relationship with scores on all subitems analyzed except learning, for which no influence was found. …”
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Virtual game-based learning environments to promote self-regulated learning skills in foreign language learners [version 1; peer review: 1 approved, 2 approved with reservations] by Maira Alejandra Noriega Cortes, Laura Carreño-Bolivar

“…Background This mixed-method action research study explores the impact of a gamified virtual learning tool on elementary students’ self-regulated learning (SRL) skills in English language acquisition. …”
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The Impact of the SMOTE Method on Machine Learning and Ensemble Learning Performance Results in Addressing Class Imbalance in Data Used for Predicting Total Testosterone Deficiency... by Mehmet Kivrak, Ugur Avci, Hakki Uzun, Cuneyt Ardic

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The cooperative learning: Understanding and increasing the knowledge of the facilities design without a professor extra effort by C. Ferrera, J. Fernández, A.C. Marcos

“…Lecturing has been prevailing in higher education. This teaching and learning model hinders the understanding of fundamental concepts in practical courses. …”
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