Inclusive Storytelling: Immigrant Experiences and Community Reaction in Georgia by Darlene Xiomara Rodriguez, Paul N. McDaniel, Lina Tuschling, Lara Smith-Sitton

“…This paper examines how community-based service-learning initiatives create new visions for civic engagement and what research methods help us ascertain community impact and opinion. …”
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Evaluating Virtual Game Design for Cultural Heritage Interpretation: An Exploratory Study on arkeOyun by Sevde Güner, Leman Figen Gül

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Lightweight coal mine conveyor belt foreign object detection based on improved Yolov8n by Jierui Ling, Zhibo Fu, Xinpeng Yuan

“…Abstract To resolve the drawbacks of slow speed, excessive parameters, and high computational demands associated with deep learning-based conveyor belt foreign object detection methods, a lightweight algorithm for detecting foreign objects on conveyors based on an improved Yolov8n model is proposed. …”
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«New Normal» of Students’ Educational Practices in the Coronavirus Pandemic Reality by E. Yu. Kostina, N. A. Orlova

“…Based on the generalization of qualitative data, the substantial characteristics of the informants’ value judgments are formed, strong and weak sides of the learning process related to introduction of new formats of interaction “university – teacher – student”. …”
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Evaluating the Impact of Community-Based Medical Education on Health Literacy and Patient Empowerment in Underserved Populations: A Pilot Cohort Study by Aida Aljafri, Persia Abba, Anita Sedghi, Andreas Conte, Waseem Jerjes

“…<b>Background:</b> Traditionally, community-based education (CBE) programmes have been utilised for teaching medical students clinical and interpersonal skills through placement in underserved environments. …”
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Puntajes en pruebas de progreso como predictores del desempeño en el Examen Nacional de Medicina del Perú by Franco Romaní, César Gutiérrez

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Multiple Tumor-related autoantibodies test enhances CT-based deep learning performance in diagnosing lung cancer with diameters < 70 mm: a prospective study in China by Qingcheng Meng, Pengfei Ren, Lanwei Guo, Pengrui Gao, Tong Liu, Wenda Chen, Wentao Liu, Hui Peng, Mengjia Fang, Shuo Meng, Hong Ge, Meng Li, Xuejun Chen

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Prediction of new HIV infection in men who have sex with men based on machine learning: secondary analysis of a prospective cohort study from Western China by Kangjie Li, Guiqian Shi, Cong Zhang, Bing Lin, Yi Tao, Qian Wang, Haijiao Zeng, Jielian Deng, Lei Zou, Biao Xie, Xiaoni Zhong

“…Objective This study aimed to construct a model based on machine learning to predict new HIV infections in HIV-negative men who have sex with men (MSM).Methods This is a secondary analysis of a previous random clinical trial aiming to evaluate the preventive effects of PrEP on new HIV infection in MSM. …”
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Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post–COVID-19 Condition: Protocol for an Observational... by Jenny Mathew, Jaclyn A Pagliaro, Sathyanarayanan Elumalai, Lauren K Wash, Ka Ly, Alison J Leibowitz, Varsha G Vimalananda

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The association of obesity and lipid-related indicators with all-cause and cardiovascular mortality risks in patients with diabetes or prediabetes: a cross-sectional study based on... by Zhaoqi Yan, Xing Chang, Zhiming Liu, Ruxiu Liu, Xiufan Du

“…Additionally, we compared the predictive performance of eight machine learning (ML) algorithms regarding mortality risk and used the SHAP method to clarify the significance of obesity and lipid-related indicators in mortality prediction.ResultsThe results of the multivariable Cox regression analysis reveal significant associations between TyG, TyG-WWI, and ABSI with all-cause mortality among patients with diabetes/prediabetes. …”
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The Potential for High-Priority Care Based on Pain Through Facial Expression Detection with Patients Experiencing Chest Pain by Hsiang Kao, Rita Wiryasaputra, Yo-Yun Liao, Yu-Tse Tsan, Wei-Min Chu, Yi-Hsuan Chen, Tzu-Chieh Lin, Chao-Tung Yang

“…Methods: The You Only Look Once (YOLO) model, as a deep learning method, detects and recognizes the position of an object simultaneously. …”
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Improving UAV-Based Detection of Low-Emission Smoke with an Advanced Dataset Generation Pipeline by Marek Szczepański

“…To overcome this, we refine an existing motion-based annotation framework by integrating an LightGBM-based classifier, which filters out false positives caused by background motion. …”
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Infrared Small Target Detection Based on Weak Feature Enhancement and Target Adaptive Proliferation by Xiaoyu Xu, Weida Zhan, Yichun Jiang, Depeng Zhu, Yu Chen, Jinxin Guo, Ziqiang Hao, Deng Han

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Using AR to Enhance the Learning of Chirality by Martin Bullock, Johannes Huwer

“…An initial pilot study involving 11th-grade students revealed positive student attitudes towards AR, with participants reporting enhanced comprehension of chirality and a preference for AR-based learning over traditional methods. …”
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Real-time detection of Chinese cabbage seedlings in the field based on YOLO11-CGB by Hang Shi, Hang Shi, Changxi Liu, Changxi Liu, Miao Wu, Miao Wu, Hui Zhang, Hui Zhang, Hang Song, Hang Song, Hao Sun, Hao Sun, Yufei Li, Yufei Li, Jun Hu, Jun Hu

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A hybrid Hadoop-based sentiment analysis classifier for tweets associated with COVID-19 utilizing two machine learning algorithms: CNN, and fuzzy C4.5 by Fatima Es-sabery, Ibrahim Es-sabery, Junaid Qadir, Beatriz Sainz-de-Abajo, Begonya Garcia-Zapirain

“…Implemented on a Hadoop framework-based cluster with five computing units, the approach was extensively tested. …”
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The Research Trends and the Effectiveness of Smart Learning by Ilkyu Ha, Chonggun Kim

“…In this study, research documents about smart learning from 2007 have been treated based on 5 major searching sites; we investigate the research trends of smart learning of education. …”
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A Visibility-Based Historical PM2.5 Estimation for Four Decades (1981–2022) Using Machine Learning in Thailand: Trends, Meteorological Normalization, and Influencing Factors Using... by Nishit Aman, Sirima Panyametheekul, Ittipol Pawarmart, Sumridh Sudhibrabha, Kasemsan Manomaiphiboon

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Who excels in online learning in Japan? by Eisuke Tokiwa

“…The correlation calculations were based on Equations 1-3, which provide the framework for assessing relationships between variables.ResultsThe analysis revealed that conscientiousness had the strongest positive influence on learning outcomes, with students scoring high in conscientiousness achieving superior results, particularly in STEM subjects. …”
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fide: Learning in Scenarios | Teacher Cognition

“…The issue pays close attention to pedagogical methods that empower students to draw on their entire linguistic repertoires. …”
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