A comprehensive review of research on surface defect detection of PCBs based on machine vision by Zihan He, Yudong Lian, Yulei Wang, Zhiwei Lu

“…This paper systematically analyzes three categories of detection approaches: image processing-based methods, machine learning-based classifiers, and deep learning architectures. …”
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The effects of e-learning vs. gamification-based training on ICU nurses’ knowledge and attitudes toward organ donation candidates: a study based on the psychological security and e... by Meysam Pour Hossein, Mojgan Ansari, Nazanin Fekri, Hamideh Yazdimoghaddam

“…Given the positive effects of both educational approaches, educational and medical center administrators should be familiarized with innovative approaches like gamification to enhance nurses’ learning by utilizing more engaging and practical methods.…”
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Acoustic emission localization model of concrete material based on convolutional neural network by DENG Yongdong, ZHOU Jingren, LU Xiang, CHEN Jiangkang

“…In response to the problems of traditional iterative localization methods, a convolutional neural network-based acoustic emission localization model is constructed, which can improve the efficiency stability and accuracy of acoustic emission localization to a certain extent.MethodsThe absolute propagation time of acoustic emission is generally difficult to obtain, but the arrival time difference between the sensors contains enough information that can be used to localize the acoustic emission source position. …”
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An e-Learning Intervention for Professionals to Promote Family-Centered Cancer Care When a Significant Caregiver for Children Is at End of Life: Mixed Methods Evaluation Study by Cherith Jane Semple, Carla O'Neill, Sarah Sheehan, Tanya McCance, Amanda Drury, Jeffrey R Hanna

“…MethodsGuided by the “person-based approach,” a mixed methods outcome evaluation was used. …”
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Mathematical Modelling and Optimization Methods in Geomechanically Informed Blast Design: A Systematic Literature Review by Fabian Leon, Luis Rojas, Alvaro Peña, Paola Moraga, Pedro Robles, Blanca Gana, Jose García

“…Synthesis: Four themes emerge—surrogate-assisted PDE-constrained optimisation, probabilistic domain adaptation, Bayesian model fusion for digital-twin updating, and entropy-based energy metrics. Conclusions: Persisting challenges in scalable uncertainty quantification, coupled discrete–continuous fracture solvers, and rigorous fusion of physics-informed and data-driven models position blast design as a fertile test bed for advances in applied mathematics, numerical analysis, and machine-learning theory.…”
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A Multi-Layer Attention Knowledge Tracking Method with Self-Supervised Noise Tolerance by Haifeng Wang, Hao Liu, Yanling Ge, Zhihao Yu

“…The knowledge tracing method based on deep learning is used to assess learners’ cognitive states, laying the foundation for personalized education. …”
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Pulmonary Nodules Detection Algorithm Combining Multi-view and Attention Mechanism by LIU Yu-bo, LIU Guo-zhu, SHI Cao, XU Can-hui

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Student Perceptions and Effectiveness of Video-Based Flipped Classroom for Improving Medical Physiology Teaching at AUSOM by Kottath Veetil P, Kollukkad Mani M, Arja SB, Paramban S, Kattambally PA, Fatteh R, Arja SB

“…Students demonstrated a positive attitude toward this method, indicating that video-based pre-class learning was effective. …”
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An Analysis of Student Engagement for Online Microeconomics Class Based on ELED by Inaya Sari Melati, Harnanik Harnanik

“…This study aims to analyze the factors affecting student engagement in Microeconomics online classes based on E-Learning Engagement Design (ELED). This study applied a mixed method with a sequential model. …”
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Beyond Curriculum Reform: The Influence of Integration on Communication and Presentation Skills in Medical Students: A Mixed-Method Study by Sharif AF, Moustafa NM, Abdo SA, Aloshari SHA, Al-Dress A

“…More than 72% and 53% of students thought problem and case-based learning positively influenced their communication and presentation skills, respectively. …”
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Investigating the effect of a 12-week game skill-based activity in physical education to enhance movement competence of students: a randomized trial by Jet Longakit, Joseph Lobo, Ruben Jr. Tagare, Johnlenon Aliser, Britanny Colobio-Englatiera, Teejay Panganiban, John Michael Aquino, Deljun Rodriguez, Novri Gazali, Mert Kurnaz

“…The results suggest that the game-based collaborative learning method positively impacted motor competence. …”
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An activity theory-based exploration of “Eyeland”, a task-based serious game for EFL visually impaired students by Karen Villalba, Heydy Robles, Miguel Jimeno, Martha Cecilia Delgado-Cañas, Adriana Perez, Francisco Quintero

“…Traditional EFL lessons, which relied heavily on visual materials and teacher-centered methods, were transformed into more interactive, task-based activities that encouraged greater collaboration and student autonomy. …”
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Active discussion vice versa passive observation: a comparative study on developing sport-related moral competencies in amateur and professional sport students by Małgorzata Bronikowska, Krzysztof Pezdek, Sara Wawrzyniak, Marlena Łopatka, Michał Bronikowski

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Sub-Pixel Displacement Measurement with Swin Transformer: A Three-Level Classification Approach by Yongxing Lin, Xiaoyan Xu, Zhixin Tie

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Machine Learning Model for Early Detection of COVID-19 by Heart Rhythm Abnormalities by M. S. Mezhov, V. O. Kozitsin, Iu. D. Katser

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Intelligent method for supporting decision-making on software security using hybrid models by Оксана Сітнікова, Маргарита Мельник, Олена Сирота, Сергій Семенов

“…The research is aimed at developing an intelligent decision support method for software security assessment using a hybrid model based on deep learning and gradient boosting. …”
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Putting measurement-based care into action: a multi-method study of the benefits of integrating routine client feedback in coordinated specialty care programs for early psychosis by Piper Meyer-Kalos, Grace Owens, Melissa Fisher, Lionel Wininger, Anne Williams-Wengerd, Kimberleigh Breen, Josephine Pita Abate, Ariel Currie, Nathan Olinger, Sophia Vinogradov

“…MBC utilizes feedback loops to share information and drive changes throughout a learning healthcare system. Few studies have demonstrated this practice in team-based care for young people with early psychosis. …”
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Automated Artery Detection and Stenosis Classification in CTA Using Deep Learning for Peripheral Arterial Disease by Ali M. O. A. Anwer, Hacer Karacan, Muhammed Rabee, Levent Enver, Gonca Cabuk

“…In this way, the proposed method resulted in an overall accuracy of 98.79%, with an AUC of 0.9534 for stenosis classification. …”
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Enhanced security for medical images using a new 5D hyper chaotic map and deep learning based segmentation by S. Subathra, V. Thanikaiselvan

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Industrial-Grade 3D Detection for Laser Cleaning of Metallic Components Based on Neural Radiance Fields and Temporal-Spatial Learning by Dandan Qi

“…This paper proposes an industrial-grade 3D detection algorithm based on Neural Radiance Field (NeRF) and spatiotemporal consistency learning. …”
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