GPE-DNeRF:Neural radiance field method for surface geological bodies reconstruction by Xinyi Wang, Weihua Hua, Xiuguo Liu, Peng Li, Guohe Li

“…We propose an enhanced method, GPE-DNeRF, which integrates depth information with Gaussian positional encoding to achieve high-quality reconstruction of geological surfaces. …”
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Piloting the informed health choices resources in Barcelona primary schools: A mixed methods study. by Laura Samsó Jofra, Pablo Alonso-Coello, Esther Cánovas Martínez, Carol de Britos Marsal, Ana Gallego Iborra, Ena Pery Niño de Guzman Quispe, Giordano Pérez-Gaxiola, Carolina Requeijo, Marta Roqué I Figuls, Sarah Rosenbaum, Karla Salas-Gama, Iratxe Urreta-Barallobre, Laura Martínez García

“…For this purpose, the IHC learning resources were developed for primary school children. …”
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Deep learning for tooth detection and segmentation in panoramic radiographs: a systematic review and meta-analysis by M. Bonfanti-Gris, A. Herrera, M. P. Salido Rodríguez-Manzaneque, F. Martínez-Rus, G. Pradíes

“…Abstract Background This systematic review and meta-analysis aimed to summarize and evaluate the available information regarding the performance of deep learning methods for tooth detection and segmentation in orthopantomographies. …”
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A Cost-Sensitive Small Vessel Detection Method for Maritime Remote Sensing Imagery by Zhuhua Hu, Wei Wu, Ziqi Yang, Yaochi Zhao, Lewei Xu, Lingkai Kong, Yunpei Chen, Lihang Chen, Gaosheng Liu

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Promoting Peer Interaction and Acceptance Among Students with Special Needs Through an Experiential Learning Program by Hsiu-Ming Lin, Szu-Yin Chu, Wen-Hsuan Chang, I-Hsuan Lo, Hsin-Ting Peng

“…Based on Kolb’s ExL theory, this study explores how the ExL Prog fosters experiential learning, reflection, and mutual growth through activities that enhance interpersonal skills, promote empathy, and create an inclusive classroom environment where students with and without special needs deepen their understanding and acceptance of one another. …”
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Systematic review: Barcode link modules for interactive science and math learning in Indonesian High Schools by Fransiska Romana Febrianti, Mohammad Masykuri, Endang Susilowati

“…Researchers found that the barcode link-based module had a positive impact on learning. Most of the research articles were found in national journals, and most of the research was conducted on the islands of Java and Sulawesi. …”
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Adaptive intelligent tutoring systems for STEM education: analysis of the learning impact and effectiveness of personalized feedback by William Villegas-Ch, Diego Buenano-Fernandez, Alexandra Maldonado Navarro, Aracely Mera-Navarrete

“…Traditional teaching methods, characterized by their standardized approach, fail to adapt to individual needs, limiting learning potential. …”
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Understanding Perspectives and Practices of "Learning through Play" in East African Refugee and Host-Country Schools by Abraha Asfaw, Silvia Diazgranados, Betty Akullu Ezati, Jonathan Kwok, Christina Raphael, Anne Smiley, Peter Ssenkusu

“…We used ethnographic methods to study these schools for 14-20 days in order to learn from their existing play-based teaching and learning practices. …”
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Nurturing bonds that empower learning: a systematic review of the significance of teacher-student relationship in education by Giulia Di Lisio, Antonio Milá Roa, Amaia Halty, Ana Berástegui, Alba Couso Losada, Carlos Pitillas

“…This systematic review aims to map the relational dimensions of the TSR and its impact on academic (dis)engagement, (under)achievement and early school leaving (ESL), focusing on Secure Base and Safe Haven attachment dimensions and the influence of vulnerability factors.MethodsThe review followed the PRISMA guidelines and included 45 empirical quantitative studies (2018–2022) sourced from Academic Search Complete, ERIC, Scopus and Web of Science. …”
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Deep learning for early detection of papillary bladder cancer on a limited set of cystoscopic images by V. S. Rozova, C. Russo, V. Y. Lekarev, V. V. Kazantseva, A. M. Dymov, A. S. Rzhevskiy, A. V. Zvyagin

“…The results of the study can be a starting point for developing new methods to diagnose PBC using deep learning technologies.…”
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A Comprehensive Machine Learning Approach for COVID-19 Target Discovery in the Small-Molecule Metabolome by Md. Shaheenur Islam Sumon, Md Sakib Abrar Hossain, Haya Al-Sulaiti, Hadi M. Yassine, Muhammad E. H. Chowdhury

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Multi-task deep learning framework for enhancing Mayo endoscopic score classification in ulcerative colitis by Jaehyuk Lee, Eunchan Kim

“…This study proposes a multi-task learning (MTL) framework inspired by the coarse-to-fine processing mechanism of the human brain to address these challenges. …”
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Graph-Enhanced Deep Learning With Character Similarity Mining for Automated NOTAM Correction in Aviation Systems by Bing Dong, Haoran Yao, Chuang Luo, Ruichao Yang, Ziyue Wang

“…During the masking stage of the CKBERT model, both positive and negative samples of knowledge graph triples were generated and integrated into multi-hop comparative learning. …”
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A Machine Learning Tool for Determining the Required Sample Size for GEV Fitting in Climate Applications by R. J. Matear, P. Jyoteeshkumar Reddy

“…Achieving such quantities will require extensive climate downscaling simulations, potentially aided by ML‐based downscaling methods to increase the ensemble size.…”
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Ultrasound combined with serological markers for predicting neonatal necrotizing enterocolitis: a machine learning approach by Yi Yang, Shoulan Zhou, Xiaomin Liu, Yanhong Zhang, Liping Lin, Chenhan Zheng, Xiaohong Zhong

“…This study aimed to develop and validate a machine learning (ML) model integrating ultrasound and serological markers to improve NEC prediction in neonates.MethodsThis retrospective, case-control study included 191 neonates (cases with Bell's stage ≥ II NEC and matched controls) admitted to a tertiary NICU. …”
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Cultural openness and desire to learn in relation to ethnocultural empathy among university students in multilingual contexts by Beatriz Peña-Acuña, Carmen M. Toscano-Fuentes, Patricia Flor-Arasil

“…The statistical analyses employed included Spearman’s correlation coefficient, the Mann-Whitney U test, and linear regression.ResultsResults revealed a strong positive correlation between cultural openness, desire to learn, and empathy. …”
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Analysis of Hybrid Learning Sentiment among Information Systems Students using The Naïve Bayes Classifier by Dolly Indra, Ramdaniah Ramdaniah, Widianti Sukur

“…Hybrid, or blended learning, integrates various teaching methods, such as face-to-face, computer-based, and mobile learning, and offers advantages by reducing the time required for meetings and information delivery. …”
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Examining the Impact of Construction Field Trips on Learning Outcomes: Perspectives from Structural Architecture Courses by Wafa Labib, Amal Abdelsattar

“…An experimental design was implemented to assess the impact of this method on achieving core Course Learning Outcomes (CLOs). …”
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Improving drug-drug interaction prediction via in-context learning and judging with large language models by He Qi, He Qi, Xiaoqiang Li, Chengcheng Zhang, Tianyi Zhao, Tianyi Zhao

“…We introduce a novel in-context learning (ICL) prompt paradigm that selects high-similarity samples as positive and negative prompts, enabling the model to effectively learn and generalize knowledge. …”
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The impact of exercising self-efficacy on physical education learning engagement: the mediating role of flow experience by Wenzhe Huang, Ruikai Wei, Bojin Cheng

“…IntroductionThe study aims to examine the direct and indirect effects of exercising self-efficacy on physical education learning engagement through mediator flow experience.MethodsBased on a questionnaire survey, using the Exercise Self-efficacy Scale, Flow Experience Scale, and Physical Education Learning Engagement Scale, a survey was conducted among 568 university students from five universities in Guangdong Province, China.Results① There were significant positive correlations between exercise self-efficacy, flow experience, and physical education learning engagement; ② Exercise self-efficacy positively influenced physical education learning engagement; ③ Flow experience played a mediating role between exercise self-efficacy and physical education learning engagement.DiscussionThis study fills the theoretical gap of flow experience application in the context of physical education, and uses the variable of exercise self-efficacy, which combines individual self-efficacy with the field of physical exercise, to enhance the depth and strength of explanation and prediction. …”
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