The innovation and practice of the “hand as foot” teaching method in the teaching of Parkinson’s disease by Jingjing Yang, Jingjing Yang, Dandan Yang, Jie Yu, Jiahui Liu

“…BackgroundBased on years of clinical teaching experience, the orthopedic team pioneered the “hand as foot” teaching method, initially applied in orthopedic teaching. …”
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Multi-RIS-Assisted 3D Localization and Synchronization via Deep Learning by Alireza Fadakar, Maryam Sabbaghian, Henk Wymeersch

“…Then, a hybrid asynchronous AOD time-of-arrival-based approach is proposed in the first stage to estimate an initial guess of the position of the user equipment (UE). …”
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PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS QUIZIZZ DAN GOOGLE SLIDES by Afdi Fauzul Bahar, Bella Tasya Kumala Dewi, Ejah Said Mansur, Maria Ulfah Siregar

“…Educators, especially teachers, must master the latest technology and learning methods, especially with the challenges in the post-pandemic era, where students tend to prefer the Learning by Doing approach. …”
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Identifying, categorizing and ranking performance indicators of schools using Q method by Seyed Mahmoud Jalilian, Shahnaz Naibzadeh, seyyed hasan hataminasab, seyed ali almodaresi

“…In this research, the dimensions of the educational model based on the development of students' identity with the Iranian-Islamic approach includes educational goals and content, teaching and learning methods, instructors and teachers, cultural factors, social factors, psychological factors, media, educational factors, and family factors. …”
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Mediating role of self-efficacy and cognitive flexibility in the relationship between critical thinking and positive mental health in Turkish nursing students: a cross-sectional st... by Eyüp Yurt, Çiğdem Müge Hayli

“…The findings recommend implementing targeted training programmes in nursing education curricula and perceived positive mental health support services through problem-based learning and simulation-based education.…”
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A Deep Learning Approach to Assist in Pottery Reconstruction from Its Sherds by Matheus Ferreira Coelho Pinho, Guilherme Lucio Abelha Mota, Gilson Alexandre Ostwald Pedro da Costa

“…In this work, we investigate a deep learning-based approach to make that process more efficient, accurate, and fast. …”
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Machine Learning-Driven Acoustic Feature Classification and Pronunciation Assessment for Mandarin Learners by Gulnur Arkin, Tangnur Abdukelim, Hankiz Yilahun, Askar Hamdulla

“…This study confirms the effectiveness of objective assessment methods based on formant analysis in speech acquisition research, provides a theoretical basis for algorithm optimization in speech evaluation systems, and holds significant application value for the development of Computer-Assisted Language Learning (CALL) systems and the improvement of multi-ethnic Mandarin speech recognition technology.…”
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Civic and social science learning in the Czech Republic: Current state, challenges and prospects by Denisa Labischová, Tomáš Hubálek

“…Approach: The research design is based on the use of descriptive method and on the analysis of documents – laws, ministerial decrees, curriculum, educational programmes, a list of textbooks endorsed by the Ministry of Education, Youth and Sports, educational portals and specialist journals. …”
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A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection by Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan

“…Aiming to solve these issues, we take advantage of the prediction capabilities of machine learning models and the analysis and clustering strengths of Formal Concept Analysis (FCA) chosen for its strong mathematical foundation and superior clustering capabilities compared to traditional methods, as highlighted in recent works such as K-means or hierarchical clustering. …”
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Federated Collaborative Learning with Sparse Gradients for Heterogeneous Data on Resource-Constrained Devices by Mengmeng Li, Xin He, Jinhua Chen

“…Finally, the sparse gradient quantization method is combined with an adaptive weighting strategy, and a collaborative federated learning algorithm is designed for heterogeneous data distribution. …”
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A novel approach integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass by Chengming Ou, Zhicheng Jia, Shiqiang Zhao, Shoujiang Sun, Ming Sun, Jingyu Liu, Manli Li, Shangang Jia, Peisheng Mao

“…A stacking ensemble learning approach was employed to identify the seed maturity based on multispectral imaging and autofluorescence imaging. …”
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لترقية الطالبات على فهم كتاب القراءة الرشيدة بمعهد الزهرة العصري بيرون- آتشيه STUDY استخدام الأسلوب by Raihanil Phonna, Suhaimi Suhaimi, Yulistri Yulistri

“…Muthalaah's learning process usually takes place with lecture methods and sometimes some teachers use the Jigsaw method in the learning process. …”
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The analysis of motion recognition model for badminton player movements using machine learning by Xuanmin Zhu, Lizhi Liu, Jingshuo Huang, Genyan Chen, Xi Ling, Yanshuo Chen

“…Abstract This study aims to comprehensively analyze and classify the badminton players’ swing actions by combining the theoretical frameworks of quantum mechanics and machine learning. A badminton stroke recognition method based on Quantum Convolutional Neural Network (QCNN) is proposed. …”
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A Q-Learning Crested Porcupine Optimizer for Adaptive UAV Path Planning by Jiandong Liu, Yuejun He, Bing Shen, Jing Wang, Penggang Wang, Guoqing Zhang, Xiang Zhuang, Ran Chen, Wei Luo

“…A B-spline-based trajectory smoothing method is also incorporated to improve the feasibility and smoothness of the planned paths. …”
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Nuances of an In-Between Space of Learning Through Auditory Approaches in Early Piano Instruction by Samuel E. Pang, Rebecca Y. P. Kan

“…Musical experiences in early piano instruction tend to be led by visual-based methods, limiting opportunities to develop aural abilities for children to understand music. …”
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Integrating Color and Contour Analysis with Deep Learning for Robust Fire and Smoke Detection by Abror Shavkatovich Buriboev, Akmal Abduvaitov, Heung Seok Jeon

“…This study suggests a unique concatenated convolutional neural network (CNN) model that combines deep learning with hybrid preprocessing methods, such as contour-based algorithms and color characteristics analysis, to provide reliable and accurate fire and smoke detection. …”
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Opinion mining in e-commerce: Evaluating machine learning approaches for sentiment analysis by L. Lakshmi, Ali B.M. Ali, K Dhana Sree Devi, Muhammad Rafiq, Iskandar Shernazarov, Nashwan Adnan Othman, M. Ijaz Khan

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Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications by Mahsa Raeiszadeh, Amin Ebrahimzadeh, Roch H. Glitho, Johan Eker, Raquel A. F. Mini

“…In our approach, edge clients perform real-time learning with continuous streaming local data. At the edge clients, we model intra-service behaviors and inter-service dependencies in multi-source distributed data based on a Span Causal Graph (SCG) representation and train a model through a combination of Graph Neural Network (GNN) and Positive and Unlabeled (PU) learning. …”
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Harnessing self-supervised learning to boost malicious traffic detection with enhanced attention by SUN Jianwen, ZHANG Bin, LI Hongyu, CHANG Heyu

“…The existing deep learning-based malicious traffic detection methods generally suffered from three main problems: labeled sample scarcity, inadequate representation of malicious behavior traffic features, and a high false positive rate due to ineffective integration of behavioral association patterns during detection. …”
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Leveraging paired mammogram views with deep learning for comprehensive breast cancer detection by Jae Won Seo, Young Jae Kim, Kwang Gi Kim

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