Improving student chemistry laboratory performance through Nyamplung ethnoscience-oriented learning of the Sasak tribe by Yusran Khery, Aliefman Hakim, Joni Rokhmat, Aa Sukarso

“…These findings suggest that integrating ethnoscience-based materials can improve student performance while offering a culturally relevant learning experience.…”
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Klasifikasi Multilabel Pada Gaya Belajar Siswa Sekolah Dasar Menggunakan Algoritma Machine Learning by I Kadek Nicko Ananda, Ni Putu Novita Puspa Dewi, Ni Wayan Marti, Luh Joni Erawati Dewi

“… Learning style plays a very important role in determining the success of a person's learning process. …”
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The effect of the cube model on visual-spatial intelligence and learning the skill of spiking in volleyball for female students by Alyaa Hussein Farhan, Tahseen Husni Tahseen, Badra Malik Shihab, Maher Amer Jabar, Nahidah Abd Zaid Aldulimey, Suhad Qassem Saeed Al-Mousawi, Nidaa Yasir Farhood

“… Objective: To identify the effect of the cube model on visual-spatial intelligence and learning the skill of spikinging in volleyball for female students, The researchers used the experimental method by designing two equivalent groups with pre- and post-measurements. …”
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Communicating Learning Instruction through Dance: Teacher’s Perceptions of the Potential of Dance as a Teaching Approach by Nurharini Atip, Mohammad Jazuli, Hartono Hartono, Eko Sugiarto

“… Background of Study: Dance as a learning style has the potential to be an innovative and effective learning method for improving the quality of learning, particularly for elementary school students. …”
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Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model by Songchang Chen, Jia Li, Xiao Zhang, Wenqiu Xu, Zhixu Qiu, Siyao Yan, Wenrui Zhao, Zhiguang Zhao, Peirun Tian, Qiang Zhao, Qun Zhang, Weiping Chen, Huahua Li, Xiaohong Ruan, Gefei Xiao, Sufen Zhang, Liqing Hu, Jie Qin, Wuyan Huang, Zhongzhe Li, Shunyao Wang, Rui Zhang, Shang Huang, Xin Wang, Yao Yao, Jian Ran, Danling Cheng, Qi Luo, Teng Pan, Ruyun Gao, Jing Zheng, Yuxuan Wang, Cong Liu, Xianling Cao, Xuanyou Zhou, Naixin Xu, Lanlan Zhang, Xu Han, Haolin Wang, Suihua Feng, Shuyuan Li, Jianguo Zhang, Lijian Zhao, Fengxiang Wei

“…The models for EOPE, LOPE, and Preterm PE were created using ensemble machine learning models with patient clinical and laboratory data. …”
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Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches by Ben Jacobson-Bell, Steve Croft, Carmen Choza, Alex Andersson, Daniel Bautista, Vishal Gajjar, Matthew Lebofsky, David H. E. MacMahon, Caleb Painter, Andrew P. V. Siemion

“…We present Grouping Low-frequency Observations By Unsupervised Learning After Reduction (GLOBULAR) clustering, a signal processing method that uses hierarchical density-based spatial clustering of applications with noise (or HDBSCAN) to reduce the false-positive rate and isolate outlier signals for further analysis. …”
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TikTok flipped classroom method in folk art courses: an investigation of teachers and learners’ perceptions by Ting Hu, Ting Hu, Haowei Chen, Lin Wang, Choon Keong Tan

“…The data were analyzed through thematic analysis using NVivo 14 software, which allowed for efficient coding and the identification of emerging themes.ResultsThe findings revealed that students had overwhelmingly positive perceptions of the TikTok flipped classroom method, highlighting four key themes: learning methods, pre-class materials, learning content, and interactivity. …”
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An Improved Quantum-Behaved Particle Swarm Optimization Algorithm Combined with Reinforcement Learning for AUV Path Planning by HanBin Zhang, XianPeng Shi

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An Evaluation of the Healthy Relationships Program for Male Adolescents in Juvenile Detention: A Mixed Method Approach by Rae-lee Warner, Kristie Dellar, Lynne Roberts

“…Qualitative analysis of participant program feedback further supported the quantitative results and identified the importance of the therapeutic alliance and incentives-based learning approaches. The findings contribute to the “what works” literature and provide insights into factors that improve positive treatment outcomes for youth in detention. …”
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Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method by Behnam Seyedi, Octavian Postolache

“…These challenges include denial-of-service (DoS) attacks, anomalous network behaviors, and data manipulation, which threaten the security and reliability of IoT ecosystems. New methods based on machine learning have been reported in the literature, addressing topics such as intrusion detection and prevention. …”
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WCMU-net: An Effective Method for Reducing the Impact of Speckle Noise in SAR Image Change Detection by Yu Duan, Kaimin Sun, Wangbin Li, Jinjiang Wei, Song Gao, Yingjiao Tan, Wanghui Zhou, Jun Liu, Junyi Liu

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Veterinary medicine under COVID-19: a mixed-methods analysis of student and practitioner experiences in Austria by Elke Humer, Elke Humer, Stefanie Winter, Thomas Probst, Christoph Pieh, Rachel Dale, Deianira Brühl, Viktoria Neubauer, Viktoria Neubauer

“…Future research should monitor these impacts longitudinally and explore the integration of beneficial practices into standard veterinary education and care, such as effective digital learning platforms and appointment-based systems.…”
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Life prediction and health assessment of aero-engine gas path using digital twin and deep learning by Mingyue Wu, Hong Zhou, Rao Yao, Shuhong Ren

“…Abstract This study proposes a system for health monitoring and remaining useful life (RUL) prediction of aviation engine gas path that integrates digital twins and deep learning. Addressing the limitations of existing data-driven methods in feature extraction capabilities and dynamic interaction mechanisms, this study designs an improved Transformer model (TMR). …”
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Long-Term Predictive Modelling of the Craniofacial Complex Using Machine Learning on 2D Cephalometric Radiographs by Michael Myers, Michael D. Brown, Sarkhan Badirli, George J. Eckert, Diane Helen-Marie Johnson, Hakan Turkkahraman

“…The highest prediction accuracy within the 2 mm or 2° clinical thresholds was achieved for maxilla to cranial base angle (80%), lower incisor position (75%), and maxilla to mandible angle (70%). …”
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Automatic location and recognition of horse freezing brand using rotational YOLOv5 deep learning network by Zhixin Hua, Yitao Jiao, Tianyu Zhang, Zheng Wang, Yuying Shang, Huaibo Song

“…Along with various technological developments, deep-learning-based methods have been applied in such individual marking recognition. …”
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Formalization for Subsequent Computer Processing of Kara Sea Coastline Data by Daria Bogatova, Stanislav Ogorodov

“…Essential datasets were compiled and formatted for computer-based analysis. These datasets included information on permafrost and the geomorphological characteristics of the coastal zone, climatic factors influencing the shoreline, and measurements of bluff top positions and retreat rates over defined time periods. …”
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Enhancing EFL Vietnamese Students’ Communicative Competence through Selected Speaking Strategies by Nguyen Huu Chanh

“…Ten strategies were carefully designed to meet the requirements of tasks in the pre-, while-, and post-speaking phases, based on previous studies. The results showed that the use of these speaking strategies had a positive impact on EFL students' communicative competence, as evidenced by their scores and feedback. …”
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Patient-specific prostate segmentation in kilovoltage images for radiation therapy intrafraction monitoring via deep learning by Adam Mylonas, Zeyao Li, Marco Mueller, Jeremy T. Booth, Ryan Brown, Mark Gardner, Andrew Kneebone, Thomas Eade, Paul J. Keall, Doan Trang Nguyen

“…Typically, fiducial markers are implanted as a surrogate for the tumour position due to the low radiographic contrast of soft tissues in kilovoltage (kV) images. …”
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Analysis and evaluation of healthcare delivery to patients with coronary artery disease using PC-based medical data by A. M. Nazarov, S. N. Tolpygina, I. P. Bolodurina

“…Aim. Using PC-based medical information technologies, analyze and evaluate inpatient and outpatient care for patients with coronary artery disease (CAD) with the development and testing of machine learning algorithms.Material and methods. …”
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Toward Personalized Digital Experiences to Promote Diabetes Self-Management: Mixed Methods Social Computing Approach by Tavleen Singh, Kirk Roberts, Kayo Fujimoto, Jing Wang, Constance Johnson, Sahiti Myneni

“…MethodsUsing the peer messages from the American Diabetes Association support community for DSM (n=~73,000 peer interactions from 2014 to 2021), (1) a labeled set of peer interactions was generated (n=1501 for the American Diabetes Association) through manual annotation, (2) deep learning models were used to scale the qualitative codes to the entire datasets, (3) the validated model was applied to perform a retrospective analysis, and (4) social network analysis techniques were used to portray large-scale patterns and relationships among the communication dimensions (content and context) embedded in peer interactions. …”
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