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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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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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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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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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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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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Whole-Body 3D Pose Estimation Based on Body Mass Distribution and Center of Gravity Constraints by Fan Wei, Guanghua Xu, Qingqiang Wu, Penglin Qin, Leijun Pan, Yihua Zhao

“…The method maps the pose to the center of gravity position using the anatomical mass ratio of the human body and computes the segment-level center of gravity using the moment synthesis method. …”
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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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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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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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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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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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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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Using machine learning algorithms to predict colorectal cancer by Xingjian Xiao, Bo Hong, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Shiyou Liu, Xianglong Xu

“…Interpretation: Using machine learning methods and non-invasive predictors can accurately predict colorectal cancer in individuals with positive initial screening results for colorectal cancer. …”
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Asynchronous Forums in EAP: Assessment Issues by Sara Kol, Miriam Schcolnik

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Student engagement assessment using multimodal deep learning. by Lijuan Yan, Xiaotao Wu, Yi Wang

“…Student engagement assessment plays an important role in enhancing students' positive performance and optimizing teaching methods. …”
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Fostering scientific creativity in science education through scientific problem-solving approaches and STEM contexts: a meta-analysis by Fredyrose Ivan Libosada Pinar, Albert Andry E. Panergayo, Richard R. Sagcal, Dharel P. Acut, Lydia S. Roleda, Maricar S. Prudente

“…This meta-analysis addresses this gap by evaluating the impact of inquiry-based learning, problem-based learning, project-based learning, and STEM contexts on students’ scientific creativity. …”
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Detection of pediatric developmental delay with machine learning technologies. by Shin-Bo Chen, Chi-Hung Huang, Sheng-Chin Weng, Yen-Jen Oyang

“…We then built 3 types of machine learning based prediction models, namely the deep neural network models (DNN), the support vector machine (SVM) models, and the decision tree (DT) models, to evaluate the effectiveness of the proposed approach.…”
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