Impact of Learning Disaster Based on SETS (Science, Environment, Technology, Society) Integrated Wisdom Local in Resilience and Mitigation Disaster Eruption Mountain Fiery by Nur Anisa'a Hanum, Setyo Eko Atmojo, Mitha Dwi Anggriani

“…The results showed that SETS-based disaster learning integrated with local wisdom had a significant positive effect on students' abilities in resilience and disaster mitigation. …”
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Continuance Intention to Use AI Chatbots in Libraries: Mediation Based on Emotional Experience by Haiting MA, Chuansheng CHENG

“…[Method/Process] Based on U&G theory and the SOR framework, we developed a conceptual model of library AI chatbot users's willingness to continue using the chatbot. …”
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Competency-based teacher education (CBTE): A training module to improve knowledge, attitude, and practices (KAP) of school teachers on learning disabilities in children by Ravichandran Rajesh, Zeanath Cariena Joseph

“…Competency-based teacher education (CBTE) is a framework in which teachers demonstrate their learned knowledge, attitude, and skills in order to achieve specific predetermined “competencies” for a specific course or at a specific educational institution. …”
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Identifying and Ranking the Challenges and Strategies of Academic Resilience based on the Integration of Thematic analysis and the House of quality by Dariush Mohamadi Zanjirani, Shahla Shahpari

“…Prioritization of educational resilience packages for literate students over 49 years old Rank Weighted score Academic resilience packages 1 5.910 Family counseling and literacy rehabilitation 2 5.427 Material and Spiritual Incentives for Literate Students 3 5.395 Fostering Social Interaction in Post-Literacy Contexts 4 5.288 Providing Coaching and Promoting a Positive Classroom Environment 5 5.144 Utilizing Educational Resources and Experimental Learning Methods 6 5.124 Implementing Extracurricular Activities to Enhance Learning 7 4.951 Developing Alternative Learning Materials, Such as Workbooks 8 4.322 Promoting Identity and Cultural Awareness 9 4.111 Increasing Training Budgets and Enhancing Support for Educators 10 3.570 Revising the Targeted and Practical Content of Transition Courses 11 3.506 Implementing Age-Appropriate Classroom Segregation   Discussion and Conclusion:     In this study, the theme network comprises seven overarching themes at its core, six organizing themes that serve as subsets of the overarching themes, and 26 basic themes. …”
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Machine Learning-Based Prediction of Post-Operative Systemic Inflammatory Response Syndrome Following Pediatric Percutaneous Nephrolithotripsy by Abudurexiti N, Liu B, Wang S, Dong Q, Batuer M, Liu Z, Li X

“…Nueraili Abudurexiti, Bide Liu, Shuheng Wang, Qiang Dong, Maimaitiaili Batuer, Zewei Liu, Xun Li Department of Urology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830001, People’s Republic of ChinaCorrespondence: Xun Li, Department of Urology, People’s Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tian-Chi Road, Tianshan District, Urumqi, Xinjiang, 830001, People’s Republic of China, Email xjmnlixun@163.comObjective: This study aimed to develop and validate a machine learning-based model for predicting systemic inflammatory response syndrome (SIRS) in pediatric patients undergoing percutaneous nephrolithotripsy (PCNL) and to establish a prediction platform specifically tailored for this population.Methods: We retrospectively analyzed clinical data from 410 pediatric patients who underwent PCNL at the People’s Hospital of Xinjiang Uygur Autonomous Region between January 2013 and September 2024. …”
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An Approach for Breast Cancer X-Ray Images Classification Based on Vision Transformer by Huong Hoang Luong, Kiet Tuan Pham, Dat Thanh Le, Danh Le Pham Thanh, Long Le Hoang Hai, Hoang Nhat Nguyen, Nguyen Thai-Nghe, Hai Thanh Nguyen

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Prediction of Ki-67 Expression in HIV-Associated Lung Adenocarcinoma Patients Using Multiple Machine Learning Models Based on CT Imaging Radiomics by Song C, Chen J, Zhao C, Song S, Yang T, Huang A, Liu R, Pan Y, Xu C, Chen C, Zhu Q

“…This study aims to explore the feasibility and value of a radiomics model based on preoperative CT images in predicting Ki-67 expression levels in HIV-associated LUAD.Patients and Methods: A total of 237 patients with HIV-associated LUAD were included. …”
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Online-Offline Optimized Motion Profile for High-Dynamic Positioning of Ultraprecision Dual Stage by Yang Liu, Yue Dong, Jiubin Tan

“…Offline step includes the system model identification based on I/O data and parameter self-learning based on particle swarm optimization (PSO). …”
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Group antenatal care positively transforms the care experience: Results of an effectiveness trial in Malawi. by Crystal L Patil, Kathleen F Norr, Esnath Kapito, Li C Liu, Xiaohan Mei, Elizabeth Chodzaza, Genesis Chorwe-Sungani, Ursula Kafulafula, Elizabeth T Abrams, Allissa Desloge, Ashley Gresh, Rohan D Jeremiah, Dhruvi R Patel, Anne Batchelder, Heidy Wang, Jocelyn Faydenko, Sharon S Rising, Ellen Chirwa

“…<h4>Background</h4>We developed and tested a Centering-based group antenatal (ANC) model in Malawi, integrating health promotion for HIV prevention and mental health. …”
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Machine learning consensus clustering for inflammatory subtype analysis in stroke and its impact on mortality risk: a study based on NHANES (1999–2018) by Zhang Chunjuan, Wang Yulong, Zhou Xicheng, Ma Xiaodong

“…Weighted multivariate logistic regression was used to construct different models; consensus clustering methods were employed to subtype stroke patients based on inflammatory marker levels; LASSO regression analysis was used to construct an inflammatory risk score model to analyze the survival risks of different inflammatory subtypes; WQS regression, Cox regression, as well as XGBoost, random forest, and SVMRFE machine learning methods were used to screen hub markers which affected stroke prognosis; finally, a prognostic nomogram model based on hub inflammatory markers was constructed and evaluated using calibration and DCA curves.ResultsA total of 918 stroke patients with a median follow-up of 79 months and 369 deaths. …”
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ALPD-Net: a wild licorice detection network based on UAV imagery by Jing Yang, Huaibin Qin, Jianguo Dai, Guoshun Zhang, Miaomiao Xu, Yuan Qin, Jinglong Liu

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Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder by Shagufta Almas, Fazli Wahid, Sikandar Ali, Ahmed Alkhyyat, Kamran Ullah, Jawad Khan, Youngmoon Lee

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An explainable web application based on machine learning for predicting fragility fracture in people living with HIV: data from Beijing Ditan Hospital, China by Bo Liu, Bo Liu, Qiang Zhang, Qiang Zhang, Xin Li, Xin Li

“…PurposeThis study aimed to develop and validate a novel web-based calculator using machine learning algorithms to predict fragility fracture risk in People living with HIV (PLWH), who face increased morbidity and mortality from such fractures.MethodWe retrospectively analyzed clinical data from Beijing Ditan Hospital orthopedic department between 2015 and September 2023. …”
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Atrial fibrillation risk model based on LASSO and SVM algorithms and immune infiltration of key mitochondrial energy metabolism genes by Xunjie Yang, Weng Lan, Chunyi Lin, Chunyu Zhu, Zicong Ye, Zhishi Chen, Guian Zheng

“…This study used bioinformatics and machine learning to explore the relationship between mitochondrial energy metabolism-related genes (MEMRGs) and immune infiltration in AF. …”
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Applying neural networks as direct controllers in position and trajectory tracking algorithms for holonomic UAVs by Cezary Kownacki, Slawomir Romaniuk, Marcin Derlatka

“…The research’s novelty lies in applying these algorithms directly for control. A position-tracking algorithm based on the artificial potential field method generated extensive training and validation datasets, simulating the tracked point’s diverse trajectory shapes and velocities. …”
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Non-formal Science Education: Moving Towards More Inclusive Pedagogies for Diverse Classrooms by Genco Guralp, Martin McHugh, Sarah Hayes

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Artificial Intelligence-Based Prediction of Bloodstream Infections Using Standard Hematological and Biochemical Markers by Ferhat DEMİRCİ, Murat AKŞİT, Aylin DEMİRCİ

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DCD-FPI: A Deformable Convolution-Based Fusion Network for Unmanned Aerial Vehicle Localization by Yufei He, Feiyang Chen, Jiahao Chen, Jiqi Fan, Enhui Zheng

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Machine learning-based pipeline for automated intracerebral hemorrhage and drain detection, quantification, and classification in non-enhanced CT images (NeuroDrAIn). by Samer Elsheikh, Ahmed Elbaz, Alexander Rau, Theo Demerath, Elias Kellner, Ralf Watzlawick, Urs Würtemberger, Horst Urbach, Marco Reisert

“…Intracerebral hemorrhage and drains were automatically segmented using a previously published artificial intelligence-based approach. From this, we calculated coverage profiles of the correctly detected drains to quantify the drains' coverage by the intracerebral hemorrhage and classify malpositioning. …”
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Leveraging an Arts-Based Approach to Foster Engagement, Nurture Kindness, and Prevent Violence by Yok-Fong Paat, Diego Garcia Tovar, Nathan W. Myers, Max C. E. Orezzoli, Anne M. Giangiulio, Sarah L. Ruiz, Angela V. Dorado, Luis R. Torres-Hostos

“…Drawing from the insights of community partners, this study explored the roles and benefits of arts-based approaches to foster civic learning, critical media literacy, and community engagement. …”
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