Evaluating Objective Structured Practical Examination as a Formative Assessment Tool in Biochemistry: A Cross-sectional Study from a Medical College in Telangana, India by Amtul Rahman Amberina, Ravirala Tagore, B Ramya Sree

“…Introduction: National Medical Council (NMC) advocates for Competency-Based Medical Education (CBME). This learner-centred curriculum emphasises continuous assessment that measures competencies and provides feedback. …”
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SET OF ORGANIZATIONALLY-DIDACTIC CONDITIONS OF THE MODEL OF STUDENTS’ AUTONOMY DEVELOPMENT SYSTEM IMPLEMENTATION by Roman A. Popov

“…Along with that, the interdisciplinary relations are based upon the intrasubject consequence of educational subjects and on the methods of these subjects’ learning. …”
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Using Generative AI in nursing education: Students’ perceptions by Zuheir N. Khlaif, Nisreen Salameh, Mousa Ajouz, Allam Mousa, Jamil Itmazi, Abdallah Alwawi, Aidah Alkaissi

“…This study's contribution lies in highlighting the critical role of trust in Gen AI in enhancing perceived usefulness and learning outcomes in nursing education. One limitation of this study is its reliance on self-reported instruments, suggesting that future research should consider adopting a mixed-methods and experimental research approach.…”
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IMRMB-Net: A lightweight student behavior recognition model for complex classroom scenarios. by Caihong Feng, Zheng Luo, Deyao Kong, Yunhong Ding, Jingyu Liu

“…With the continuous advancement of education informatization, classroom behavior analysis has become an important tool to improve teaching quality and student learning outcomes. However, student classroom behavior recognition methods still face challenges such as occlusion, small objects, and environmental interference, resulting in low recognition accuracy and lightweight performance. …”
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Analyzing Visitor Behavior to Enhance Personalized Experiences in Smart Museums: A Systematic Literature Review by Rosen Ivanov, Victoria Velkova

“…The leading content personalization methods currently include real-time personalization systems combined with AI-driven systems and location-based technologies. …”
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Cooperative Path Planning for Multi-UAVs with Time-Varying Communication and Energy Consumption Constraints by Jia Guo, Minggang Gan, Kang Hu

“…In this paper, we propose a novel algorithm, Dimensional Learning Strategy and Spherical Motion-based Particle Swarm Optimization (DLS-SMPSO), specifically designed to handle the unique constraints and requirements of cooperative path planning for Multiple UAVs (Multi-UAVs). …”
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Behavioral Activation for Treatment-resistant Depression: Theoretical Model and Intervention Protocol (BA-TRD) by Michel A. Reyes-Ortega, Jorge Barraca, Jessica Zapata-Téllez, Alejandra M. Castellanos-Espinosa, Joanna Jiménez-Pavón

“…Results: The model reflects how patients with TRD are more susceptible to becoming trapped in their condition by seeking to avoid discomfort through avoidance and escape behaviors, which increasingly drives them away from sources of positive reinforcement. Based on this model, a BA-based intervention protocol is suggested for the treatment of TRD. …”
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An Enhanced Shuffle Attention with Context Decoupling Head with Wise IoU Loss for SAR Ship Detection by Yunshan Tang, Yue Zhang, Jiarong Xiao, Yue Cao, Zhongjun Yu

“…This paper introduces a novel method that features a context-based decoupled head, leveraging positioning and semantic information, and incorporates shuffle attention to enhance feature map interpretation. …”
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Evaluasi Faktor Manfaat Sistem Lingkungan Pembelajaran 3 Dimensi Berbasis Multi-User Virtual Reality (MuVR) by Adhi Rizal, Dadang Yusup, Apriade Voutama

“…One of the emerging learning technologies is the 3-dimensional learning environment system based on Multi-user Virtual Reality (MuVR). …”
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Investigation of the Challenges of Public Education Centre Instructors by Esen Altunay, Evrim Erol

“…Alternative education opportunities are needed outside of formal education institutions to train individuals, develop skills, and sustain lifelong learning. Adult Education Centres, which have a priority and predominant position among institutions that support lifelong learning in Türkiye, are among the leading institutions that help individuals’ personal, professional, and social development. …”
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Effectiveness of interventions for improving educational outcomes for people with disabilities in low‐ and middle‐income countries: A systematic review by Xanthe Hunt, Ashrita Saran, Howard White, Hannah Kuper

“…Eligibility was assessed using a predesigned form based on the inclusion criteria developed by the authors. …”
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Cascadia Daily GNSS Time Series Denoising: Graph Neural Network and Stack Filtering by Loïc Bachelot, Amanda Thomas, Diego Melgar, Jake Searcy, Yu-Sheng Sun

“…Our findings suggest that GNN-based denoising offers a robust, adaptive solution for heterogeneous GNSS networks, enhancing accuracy in tectonic and volcanic process studies, but stack filtering approaches might still outperform the machine learning technique depending on the application. …”
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Multilingual Neural Machine Translation for Low-Resource Languages by Surafel M. Lakew, Marcello Federico, Matteo Negri, Marco Turchi

“…In recent years, Neural Machine Translation (NMT) has been shown to be more effective than phrase-based statistical methods, thus quickly becoming the state of the art in machine translation (MT). …”
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Drawing a Scientific Map and Analyzing the Co-occurrence Network of Master's Dissertations and Doctoral Theses in Mathematics Education at Iranian Universities by Vahideh Soleymani Rad, Younes Karimi Fardinpour, Mohammad Hassan Behzadi, Ahmad Shahvarani Semnani

“…Following that, mathematical education, problem-solving, learning, and various teaching methods have influenced the subjects of theses more. …”
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Developing an Algorithm for Robotic Precision Application of Crop Protection Products by M. A. Mirzaev

“…Mask R-CNN and Deeplabv3 plus segmenting neural networks were chosen for crop (white head cabbage) detection. The network-based algorithm detects, segments, and positions plants based on a dataset collected in the image-mask and COCO dataset formats. …”
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PEDAGOGICAL VALUE OF THE COMMUNICATION AS A PROFESSIONAL ETHICAL PHENOMENON IN THE EDUCATION OF DENTISTS STUDENTS by R.M. Khopta

“…Classes in the clinic provide overcoming of the psychological barrier:"student-patient" and "patient-student." Most patients have positive attitude to work with students, however, they should see the appropriate base of knowledge and skills that students have at this stage of learning. …”
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Stereo Matching of High-Resolution Satellite Images via Hierarchical ViT and Self-Supervised DINO by X. He, M. Yang, S. Jiang, S. Jiang, W. Jiang, Q. Li

“…Since stereo matching in satellite datasets is restricted by the disparity range, the pixel-by-pixel method can reduce the limitation. In the feature extraction module, we have performed attention-based in-depth learning on the smallest-scale feature using the self-supervised DINO. …”
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Relations Between Parental Emotion Talk and Preschoolers’ Emotion Expressions in Low-Income Chinese American and Mexican American Families by Megan Chan, Michelle Taw, Nancy Eisenberg, Qing Zhou

“…<b>Methods</b>: In a sample of 86 children (age range = 38 to 70 months, 62% girls) from low-income immigrant families (Mexican Americans/MA = 43 and Chinese Americans/CA = 43), the observed children’s emotion expressions and emotion-related behaviors were coded based on a frustration-eliciting task. …”
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Knowledge, perception, and attitude of Egyptian dental students toward the role of robotics and artificial intelligence in dental practices - a cross-sectional study by Naglaa Ezzeldin, Aya A. Salama, Karim A. Shehab

“…Additionally, 75% expressed a desire to learn more about R and AI in the future. Conclusions Dental students possess a good understanding of and positive attitudes toward the use of R and AI in diagnosis and interpretation. …”
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Error Mitigation Teacher for Semi-Supervised Remote Sensing Object Detection by Junhong Lu, Hao Chen, Pengfei Gao, Yu Wang

“…While teacher–student frameworks enable learning from unlabeled data, erroneous pseudo-labels such as false positives and missed detections can be reinforced over time, which degrades model performance. …”
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