Using machine learning to predict the rupture risk of multiple intracranial aneurysms by Junqiang Feng, Chunyi Wang, Yu Wang, He Liu, He Liu

“…ObjectiveThis study aims to develop a machine learning-based risk prediction model (RPM) for the rupture of multiple intracranial aneurysms (MIAs), addressing a critical gap in current clinical tools such as the PHASES score, which are not specifically designed for MIAs. …”
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Analysis of the application of biomechanics to the prevention of sports injuries in physical education learning by Muhammad Surur, Resty Gustiawati

“…Based on the discussion and research data it can be drawn that physical education teachers who have a high level of understanding are strongly related to the prevention of student sports injuries in physical education learning. …”
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Live Weight Prediction in Norduz Sheep Using Machine Learning Algorithms by Cihan Çakmakçı

“…There were no differences between the means of actual and predicted LWs by machine learning models. The fact that the models generalized well on the testing data sets indicates that machine learning algorithms have valid predictive patterns and are effective methods in LW weight of Norduz sheep. …”
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Rethinking Domain‐Specific Pretraining by Supervised or Self‐Supervised Learning for Chest Radiograph Classification: A Comparative Study Against ImageNet Counterparts in Cold‐Star... by Han Yuan, Mingcheng Zhu, Rui Yang, Han Liu, Irene Li, Chuan Hong

“…We also identified promising outcomes related to cold‐start AL, including initialization based on pretrained models, the positive influence of initialization on subsequent learning, the potential for one‐shot initialization, and the influence of class balance on middle‐budget AL. …”
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Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Develo... by Hui Li, Ruyi Zou, Hongxia Xin, Ping He, Bin Xi, Yaqiong Tian, Qi Zhao, Xin Yan, Xiaohua Qiu, Yujuan Gao, Yin Liu, Min Cao, Bi Chen, Qian Han, Juan Chen, Guochun Wang, Hourong Cai

“…There is an urgent need for a reliable prediction model, accessible via an easy-to-use web-based tool, to evaluate the risk of death. …”
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Audiovisual Translation as a Media for Teaching EFL Vocabulary to Primary School Students in Indonesia by Farida Repelita Waty Kembaren, Sahmiral Amri Rajagukguk, Anggun Siska Pratiwi, Khairani Khairani

“…This research contributes to innovative EFL teaching methods by suggesting the widespread use of audiovisual translation in primary schools around the world, especially in Indonesia, based on its proven success and positive responses from students.…”
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Effects Problem Solving Skills in School Learning : Systematic Literature Review by Yohana Liando Tiarma Sihotang, Sukardiyono, Heru Kuswanto

“…The conclusion of this study emphasizes that selecting an appropriate learning approach, particularly problem solving, has a positive impact on improving students' problem-solving skills in schools. …”
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DIDACTIC POTENTIAL OF MOBILE APPLICATIONS FOR LEARNING ENGLISH AS A FOREIGN LANGUAGE by Blynova Neliia, Kyrylova Oksana, Dolzhenko Maryna

“…Research methods: the analysis of sources on the topic of research made it possible to understand the state of development of the topic, the main directions of domestic and foreign research on mobile learning; descriptive provided an opportunity to generalize the experience gained during reconnaissance; synthesis of the obtained data contributed to the conclusion of the research concept and its implementation. …”
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Contrastive learning of similarity meta-path clustering for multi-behavior recommendation by Juan Liao, Aman Jantan, Zhe Liu, Himanshu Dhumras, Omed Hassan Ahmed

“…To address these challenges, we propose a novel model—Contrastive Learning based on Similar Meta-path Clustering (CSMC)—specifically designed for multi-behavior recommendation. …”
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Efficient lung cancer detection using computational intelligence and ensemble learning. by Richa Jain, Parminder Singh, Mohamed Abdelkader, Wadii Boulila

“…Additionally, ensemble learning is incorporated through a voting classifier. …”
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The Influence of School Principals' Learning Leadership and School Climate on Teacher Performance by A. Aulia Reski Novianti Alnisyar, Fatmiati Nur

“… A good school is supported by the leadership role of the principal, the performance of all stakeholders and the school climate. Based on this, the researcher took the role of learning leadership as the object of research because the researcher considers that the leadership role of the school principal is considered capable of improving the quality of education and creating a conducive school atmosphere, not only carrying out his duties and functions as a school leader. …”
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A qualitative illuminative evaluation of emotional intelligence training as transformative learning by Christine Fourie, Ingrid L. Potgieter, Melinde Coetzee

“…Some aspects of the training methodology appeared to have contributed to the transformative learning effects. Practical/managerial implications: The findings attest to the value of investing in evidence-based EI training programmes that facilitate transformative learning. …”
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deepBBQ: A Deep Learning Approach to the Protein Backbone Reconstruction by Justyna D. Kryś, Maksymilian Głowacki , Piotr Śmieja , Dominik Gront

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Machine Learning Reveals Aneuploidy Characteristics in Cancers: The Impact of BEX4 by Aizhong Xu, Jianjun Liu, Li Tong, Tingting Shen, Songlin Xing, Yujie Xia, Bosen Zhang, Zihao Wu, Wenkang Yuan, Anhai Yu, Zijie Kan, Wenqi Yang, Chao Zhang, Chong Zhang

“…Nevertheless, BEX4’s comprehensive impact on aneuploidy incidence across different cancer types remains unexplored. Methods: Patients from The Cancer Genome Atlas (TCGA) were stratified into high-score (training) and low-score (control) groups based on the aneuploidy score. …”
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Synergistic application of molecular docking and machine learning for improved binding pose by Li Yaqi, Lin Hongrui, Yang He, Yuan Yannan, Zou Rongfeng, Zhou Gengmo, Zheng Linfeng, Zheng Hang

“…Accurate prediction of protein-ligand complex structures is a crucial step in structure-based drug design. Traditional molecular docking methods exhibit limitations in terms of accuracy and sampling space, while relying on machine-learning approaches may lead to invalid conformations. …”
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Deep learning with Bayesian Hyperparameter Optimization for Precise Electrocardiogram Signals Delineation by Annisa Darmawahyuni, Winda Kurnia Sari, Nurul Afifah, Siti Nurmaini, Jordan Marcelino, Rendy Isdwanta

“…The study resulted in the development of 40 models, with the best model achieving a 99.285 accuracy, 94.5% sensitivity, 99.6% specificity, and 94.05% precision. The ECG delineation-based deep learning with BHO shows its excellence for localization and position of the onset, peak, and offset of ECG waveforms. …”
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Enhancing Fault Diagnosis: A Hybrid Framework Integrating Improved SABO with VMD and Transformer–TELM by Jingzong Yang, Xuefeng Li, Min Mao

“…To address this challenge, this study proposes an intelligent diagnostic method that integrates variational mode decomposition (VMD) optimized by the improved subtraction-average-based optimizer (ISABO) with transformer–twin extreme learning machine (Transformer–TELM) ensemble technology. …”
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Hierarchical Reinforcement Learning for Viewpoint Planning with Scalable Precision in UAV Inspection by Hua Wu, Hao Li, Junwei Yu, Yanxiong Wu, Xiaojing Bai, Mengyang Pu, Li Sun, Yihuan Li, Juncheng Liu

“…To address the issues of excessive waypoints and inadequate observation precision in traditional methods, this paper proposes a hierarchical reinforcement learning-based viewpoint planning method. …”
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DeSPPNet: A Multiscale Deep Learning Model for Cardiac Segmentation by Elizar Elizar, Rusdha Muharar, Mohd Asyraf Zulkifley

“…Methods: This paper proposes DeSPPNet, a multiscale-based deep learning network. …”
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A STUDY OF THE EFFECTIVENESS OF DISTANCE LEARNING AT A MEDICAL UNIVERSITY IN UKRAINE by H.Yu. Morokhovets, Yu.V. Lysanets, O.M. Bieliaieva, S.A. Stetsenko, O.A. Shlykova

“…We developed a questionnaire based on Donald Kirkpatrick’s model and applied the method of studying the attractiveness factors of the profession. 85.49% of respondents demonstrated their general impression of the organization of distance learning as positive (271 respondents). 74.13% of respondents were satisfied with the organization of distance learning at the university. …”
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