Development and evaluation of an Android-based multimedia application to promote healthy lifestyles in physical education: A study at State Junior High School 29 Semarang by Galang Yusuf Pujiyanto, Ibnu Fatkhu Royana, Muh. Isna Nurdin Wibisana

“…Background: The integration of interactive, technology-based media in Physical Education, particularly for teaching health-related content, remains limited despite its potential to enhance student engagement and learning outcomes. …”
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The Strength of a Story: Partnering With a Community Organization to Destigmatize Substance Use Disorder by Noah Sorkow, Cameron Lauf, Stephen H. Berns

“…Discussion Working in direct partnership with a local community organization to create an intimate narrative-based educational experience for medical students is feasible, appreciated by medical student participants, and mutually beneficial to community members and can facilitate positive changes in student knowledge and, potentially, bias regarding SUD.…”
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Research on High-Precision Motion Planning of Large Multi-Arm Rock Drilling Robot Based on Multi-Strategy Sampling Rapidly Exploring Random Tree* by Qiaoyu Xu, Yansong Lin

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Leveraging environmental microbial indicators in wastewater for data-driven disease diagnostics by Gayatri Gogoi, Gayatri Gogoi, Sarangthem Dinamani Singh, Sarangthem Dinamani Singh, Devpratim Koch, Devpratim Koch, Emon Kalyan, Rashmi Rani Boro, Aradhana Devi, Hridoy Jyoti Mahanta, Hridoy Jyoti Mahanta, Pankaj Bharali, Pankaj Bharali

“…After data preprocessing, correlation analyses identified 19 relevant environmental parameters. Unsupervised learning algorithms, including K-means and K-medoid clustering, were employed to categorize the data into four distinct clusters, revealing patterns of viral positivity and environmental conditions.ResultsCluster analysis indicated that seasonal variations and water quality characteristics significantly influenced SARS-CoV-2 positivity rates. …”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…The paper presents methods of adaptive non-convex and belief-based optimization with a positive-negative estimate of the moments with the corresponding theoretical guarantees of convergence. …”
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Decision Support System for Evaluating Corpus-Based Word Lists for Use in English Language Teaching Contexts by Ruoxi Yin, Chunmei Zhu, Jiuyang Zhu

“…The selection of pedagogically relevant vocabulary is a critical aspect of English Language Teaching (ELT), yet traditional corpus-based word lists often rely solely on frequency-based ranking, limiting their effectiveness in real-world learning contexts. …”
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Uso de Moodle para fortalecer competencias ciudadanas en estudiantes de fisioterapia: un diseño pretest-postest (Use of Moodle to strengthen citizenship competencies in physiother... by Milena Boneth-Collante, Jorge Salazar-Rodríguez, Adriana Angarita-Fonseca

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Importancia de la competencia aprender a aprender en estudiantes universitarios colombianos a par-tir de análisis multivariado: desafíos, oportunidades y retos para la educación (I... by Boryi Alexander Becerra Patiño, Francisco Javier Palomino Ramírez, Janeth Reina Prieto

“…Finally, five profiles were found that induce to recognize the diversity of the learning manifested by university students. Keywords: learning; higher education; student; occupational qualifications; university teaching   …”
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Objective and Intelligent Acquisition of Two Types of Decision Data Based on Online Comment Information and Its Application in Emergency Decision-Making by Ruipu Tan, Lehua Yang, Jing Li

“…Therefore, this study developed two methods for the intelligent and objective acquisition of quantitative decision data based on machine learning and online review data and applied the methods to solve practical emergency problems. …”
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HR-NeRF: advancing realism and accuracy in highlight scene representation by Shufan Dai, Shanqin Wang

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A real-time predicting online tool for detection of people’s emotions from Arabic tweets based on big data platforms by Naglaa Abdelhady, Ibrahim E. Elsemman, Taysir Hassan A. Soliman

“…For the first stage, two different approaches: The deep Learning (DL) approach and the Transfer Learning-based (TL) approach to find the optimal classifier for identifying and predicting emotion. …”
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Stacking classifiers based on integrated machine learning model: fusion of CT radiomics and clinical biomarkers to predict lymph node metastasis in locally advanced gastric cancer... by Tong Ling, Zhichao Zuo, Mingwei Huang, Jie Ma, Liucheng Wu

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Expanding the CURE: the impact of course-based undergraduate research experiences across natural and social sciences by Christine Broussard, Margaret Gough Courtney, Sarah L. Dunn, K. Godde, Vanessa Preisler

“…IntroductionCourse-based Undergraduate Research Experiences (CUREs) are high-impact learning practices that replace the traditional apprenticeship model and can increase learning gains in diverse groups. …”
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Travel route recommendation with a trajectory learning model by Xiangping Wu, Zheng Zhang, Wangjun Wan

“…To address these issues, this research introduces a Trajectory Learning Model for Route Recommendation (TLMR) based on deep learning techniques. …”
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Preliminary Study on Sensor-Based Detection of an Adherent Cell’s Pre-Detachment Moment in a MPWM Microfluidic Extraction System by Marius-Alexandru Dinca, Mihaita Nicolae Ardeleanu, Dan Constantin Puchianu, Gabriel Predusca

“…Real-time video analysis enables continuous monitoring of positional dynamics and oscillatory responses. Image processing and deep learning algorithms determine object center coordinates, allowing the MPWM system to dynamically adjust suction parameters. …”
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Designing green and safe micro mobility routes: An advanced geo-analytic decision system based approach to sustainable urban infrastructure by Ömer Kaya

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Bionics Solution to Learn the Arm Reaching with Collision Avoidance by P. Gorce, P. Bendahan

“…Our simulation was based on the notion of Via Point, which postulates that the motion planning that is divided into specific successive position of the arm. …”
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Automatic segmentation of esophageal cancer, metastatic lymph nodes and their adjacent structures in CTA images based on the UperNet Swin network by Runyuan Wang, Xingcai Chen, Xiaoqin Zhang, Ping He, Jinfeng Ma, Huilin Cui, Ximei Cao, Yongjian Nian, Ximing Xu, Wei Wu, Yi Wu

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Automated grading of oleaster fruit using deep learning by Aram Azadpour, Kaveh Mollazade, Mohsen Ramezani, Hadi Samimi-Akhijahani

“…The results of this study demonstrate the effectiveness of deep learning-based models in developing grading machines for the oleaster fruit.…”
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Deformable Feature Fusion and Accurate Anchors Prediction for Lightweight SAR Ship Detector Based on Dynamic Hierarchical Model Pruning by Yue Guo, Shiqi Chen, Ronghui Zhan, Wei Wang, Jun Zhang

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