Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning. by Zhuoran Wang, Anoop D Shah, A Rosemary Tate, Spiros Denaxas, John Shawe-Taylor, Harry Hemingway

“…<h4>Aim</h4>To develop an algorithm to identify relevant free texts automatically based on labelled examples.<h4>Methods</h4>We developed a novel machine learning algorithm, the 'Semi-supervised Set Covering Machine' (S3CM), and tested its ability to detect the presence of coronary angiogram results and ovarian cancer diagnoses in free text in the General Practice Research Database. …”
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Evaluation of Machine Learning Models for Sentiment Analysis in the South Sumatra Governor Election Using Data Balancing Techniques by Febriyanti Panjaitan, Win Ce, Hery Oktafiandi, Ghanim Kanugrahan, Yudi Ramdhani, Vito Hafizh Cahaya Putra

“…Social media platforms such as Twitter and YouTube provide key sources of public sentiment, which can be analyzed using machine learning to classify opinions as positive, neutral, or negative. …”
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Concept-based instruction: Improving learner performance in mathematics through conceptual understanding by Mildret Ncube, Kakoma Luneta

“…The study examined the impact of concept-based instruction on the teaching and learning of mathematics. …”
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EFFECT OF HABITUAL MUSIC LISTENING ON ATTENTION, LEARNING, AND MEMORY: AN OBSERVATIONAL CROSS-SECTIONAL STUDY AMONG STUDENTS IN VIJAYAWADA. by Srija Kachana, Lakshmi Divya Yadavalli, Srujana Dampetla, Wunnava Maruthi, Indla Devasena

“…Conclusion Listening to music while studying is a prevalent practice among students, with most reporting positive effects on concentration, learning, and motivation. …”
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Assessment of CLOs, PLOs, ILOs, SLOs: An academic programme for educational theatre as a model by H. S. Zaghloul

“…Using a mixed method with the survey of 50 students and interviews of 20 faculty members of the Academic Programme for Educational Theatre, the identification of educational theatre’s impact on the learning outcomes of students is determined.   …”
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Machine learning analysis of FOSL2 and RHoBTB1 as central immunological regulators in knee osteoarthritis synovium by Kun Gao, Zhenyu Huang, Zhouwei Liao, Yanfei Wang, Dayu Chen

“…To better understand the molecular mechanisms underlying knee osteoarthritis, we conducted a comprehensive analysis of gene expression in knee osteoarthritis synovium using machine learning. Methods Differentially expressed genes between knee osteoarthritis and control synovial tissues were analyzed using the GSE55235 dataset. …”
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Unlocking mathematical potential: The impact of PAKEM learning and local wisdom on high school students' problem-solving abilities by Supratman Supratman, Fitriyani Hali, Ebenezer Bonyah

“…Mathematical problem-solving ability refers to the capacity to solve problems through sound decision-making, which is essential for effective learning. Students must be able to think positively, logically, and methodically to address mathematical problems. …”
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PROFESSIONAL AND APPLIED PHYSICAL TRAINING FOR STUDENTS OF COMPUTER ENGINEERING SPECIALTY IN THE TEMPORARILY OCCUPIED TERRITORY WITH USING DISTANCE LEARNING by Shuba Liudmyla, Shuba Victor, Shuba Victoria

“…But there are advantages and disadvantages of distance learning. Positive aspects include: flexible schedule, independent study possibility, stress reduction, physical and psychological health improvement, using interactive technologies and virtual reality, competition and cooperation promotion, support from teachers and parents, innovation stimulation and development of new teaching methods, assistance in development of a healthy lifestyle as an education part. …”
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Neuromorphic Digital-Twin-Based Controller for Indoor Multi-UAV Systems Deployment by Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad

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EXPLORING STUDENTS’ INTEREST IN LEARNING ENGLISH AS A FOREIGN LANGUAGE THROUGH TRADITIONAL GAMES IN 2nd GRADERS by Ami nurasid, Arsen Nahum Pasaribu, Erika Sinambela, Minliw Zour, Yong Wag

“…The findings indicate that a majority of students show high interest in learning English through traditional games. During game-based activities, 96% of students demonstrated positive emotional responses such as excitement and enthusiasm, reflecting key indicators of interest. …”
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Training academic staff for effective feedback in workplace-based assessment: a study in Bhutan by Sontosh Mukhia, Karma Tenzin

“…Abstract Introduction The feedback plays a critical role in competency-based education in both undergraduate and Postgraduate medical education. …”
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Smart Learning from a Young Age : A Systematic Review of Digital Technology Integration for Cognitive Development by Nabil Fikri Adam, Suwito Eko Pramono, Arief Yulianto, Bambang Subali, Nuni Widiarti

“…The results revealed that digital technology integration positively impacts cognitive learning outcomes, with video and animation-based approaches being most prevalent (26.92%), followed by virtual/augmented reality, interactive applications, and educational games (19.23% each). …”
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Predictive model for sarcopenia in chronic kidney disease: a nomogram and machine learning approach using CHARLS data by Renjie Lu, Shiyun Wang, Pinghua Chen, Fangfang Li, Fangfang Li, Pan Li, Qian Chen, Xuefei Li, Fangyu Li, Suxia Guo, Jinlin Zhang, Jinlin Zhang, Dan Liu, Zhijun Hu

“…This research aimed to create and assess a predictive model for the risk of sarcopenia in CKD patients, utilizing data obtained from the China Health and Retirement Longitudinal Study (CHARLS).MethodsSarcopenia was diagnosed based on the Asian Working Group for Sarcopenia (AWGS 2019) criteria, including low muscle strength, reduced physical performance, and low muscle mass. …”
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Emotional literacy programme in special schools for children with a learning disability in England: the ZF-SEND feasibility RCT by Biza Stenfert Kroese, Gemma Unwin, Richard Hastings, Andrew Jahoda, Rachel McNamara, David Gillespie, Jeremy Segrott, Kate Ingarfield, Myrsini Gianatsi, Elizabeth Randell, Zoe Mather, Barbara Barrett, Poushali Ganguli, John Rose, Mariam Sahle, Emily Warren, Nathan Da Cruz

“…Abstract Background Children with a learning disability experience a range of inequalities and adverse life events that put them at greater risk of mental health problems. …”
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Machine learning prediction and explanation of high intraoperative blood pressure variability for noncardiac surgery using preoperative factors by Zheng Zhang, Yi Duan, Zuozhi Li, Zhifeng Gao, Huan Zhang

“…Abstract Background The objective of this study is to construct an explainable machine learning predictive model for high intraoperative blood pressure variability(IBPV) based on preoperative characteristics, to enhance intraoperative circulatory management and surgical outcomes. …”
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The impact of family social support on academic resilience in Indonesian and Turkish students: the mediating role of self-regulated learning by Fitriah M. Suud, Zuhal Agilkaya-Sahin, Tri Na’Imah, Muhammad Azhar, Mariah Kibtiyah

“…This quantitative method used three research scales to answer the research questions: resilience, family social support, and self-regulated learning. …”
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Evolution and model prediction of mechanical ventilation temperature field in high-geotemperature tunnels: Experimental analysis and machine learning by Feng Huang, Song Wang, Shuping Jiang, Dong Yang, Zheng Hu, Aichen Zheng

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Visual Perceptions Skills and its Association with Written Mathematical Communication Skills among Learning Disabilities Students in Jordan by Saida Aladwan, Worud Awamleh, Mona Qutaifan Ershed Alfayez, Hassan Rafi’ Ali Shaheen, Muna Saleem Taha Abutaha

“…# Aim The present research sought at investigating the association between visual perception skills and written mathematical communication skills among a sample of students with learning disabilities in mathematics in Jordan. # Method This was a cross-sectional correlational study that included a sample of 90 primary-stage students who were diagnosed as having learning disabilities in mathematics. …”
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Integration of Islamic-based anti-corruption education in Al Qur’an and hadith study courses by Zeid B Smeer, Mubasyiroh Mubasyiroh, Hamim Hamim, Inayatur Rosyidah

“…Anti-corruption education from an Islamic perspective for students is an alternative in eradicating Corruption. integration education anti-Corruption in the Qur'an and Hadith courses is education anti-Corruption merges in Al-Qur'an and Hadith courses through development Theory because of course part the material contain payload score and behavior anti-Corruption, as well as through development learning methods and media. Based on data processing obtained for category moral knowing It was found that the ICP PAI students of UIN Maliki Malang class of 2020 reached 82%. …”
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Sex estimation with parameters of the facial canal by computed tomography using machine learning algorithms and artificial neural networks by Yusuf Secgin, Seren Kaya, Oğuzhan Harmandaoğlu, Oğuzhan Öztürk, Deniz Senol, Ömer Önbaş, Nihat Yılmaz

“…Conclusions FN-centered morphometric measurements show high accuracy in sex determination and may aid in understanding FN positioning across sexes and populations. These findings may support rapid and reliable sex estimation in forensic investigations—especially in cases with fragmented craniofacial remains—and provide auxiliary diagnostic data for preoperative planning in otologic and skull base surgeries. …”
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