Machine learning for cardio-oncology: predicting global longitudinal strain from conventional echocardiographic measurements in cancer patients by Tagayasu Anzai, Kenji Hirata, Ken Kato, Kohsuke Kudo

“…Sixteen ML models were constructed including various boosting and tree-based methods. We assessed the models by the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, Positive predictive value (PPV), Negative predictive value (NPV), and F1 score. …”
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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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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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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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Masked pre-training of transformers for histology image analysis by Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata, Saeed Hassanpour

“…The pre-trained MaskHIT surpasses various multiple instance learning approaches by 3% and 2% on survival prediction and cancer subtype classification tasks, and also outperforms recent state-of-the-art transformer-based methods. …”
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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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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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A pulmonary hypertension targeted algorithm to improve referral to right heart catheterization: A machine learning approach by Paola Argiento, Anna D'Agostino, Rossana Castaldo, Monica Franzese, Matteo Mazzola, Ekkehard Grünig, Lavinia Saldamarco, Valeria Valente, Alessandra Schiavo, Erica Maffei, Davide Lepre, Antonio Cittadini, Eduardo Bossone, Michele D'Alto, Luna Gargani, Alberto Maria Marra

“…Aim of the current study was to develop a Machine Learning (ML) algorithm based on the analysis of anamnestic data to predict the presence of an invasively measured PH. …”
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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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Indoor Multidimensional Reconstruction Based on Maximal Cliques by Yongtong Zhu, Lei Li, Na Liu, Qingdu Li, Ye Yuan

“…Through extensive experimentation, our method demonstrates a significant reduction in processing time, taking approximately one-tenth of the time required by the original method without a decline in accuracy. …”
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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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The Impact of User Perception on Continued Knowledge Purchase Intention: A Study Utilizing the LDA Topic Analysis Method by Yong Liu, Feifan Du, Hui Li

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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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User Sentiment Analysis Based on Securities Application Elements by Minji Kim, Subeen Kim, Yoonha Park, Sangwoo Bahn, Sung Hee Ahn, Bhavadharani NambiNarayanan

“…This study explores the use of Aspect-Based Sentiment Analysis (ABSA) as an effective alternative to traditional user research methods for securities application design. …”
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A Guided-Ensembling Approach for Cell Counting in Fluorescence Microscopy Images by C. Emre Dedeagac, Can F. Koyuncu, Michelle M. Adams, Cagatay Edemen, Berk C. Ugurdag, N. Ilgim Ardic-Avci, H. Fatih Ugurdag

“…Although deep learning and computer vision based approaches have demonstrated success in the field of cell counting and detection in microscopic images, they continue to have certain limitations. …”
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Real-Time Posture Correction of Squat Exercise: A Deep Learning Approach for Performance Analysis and Error Correction by Prashant Rao, C. S. Asha, P. Raghavendra Rao

“…A deep learning-based regressor, trained on a dataset of squat videos, estimates the correct joint angles. …”
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Research Progress and Technology Outlook of Deep Learning in Seepage Field Prediction During Oil and Gas Field Development by Tong Wu, Qingjie Liu, Yueyue Wang, Ying Xu, Jiale Shi, Yu Yao, Qiang Chen, Jianxun Liang, Shu Tang

“…Key processes based on Deep Learning, such as feature engineering, network structure design, and physical constraint integration mechanisms, are further explored. …”
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Management education in technology-mediated ODL platform – implications for educators in context of shifting learning path and digital divide by Smritishikha Choudhury, Chayanika Senapati, Nripendra Narayan Sarma

“…In the ODL scenario, the learning path has been shifting from the traditional Self-Learning Material (SLM) -based model to technology-mediated platform. …”
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A multilayer deep autoencoder approach for cross layer IoT attack detection using deep learning algorithms by K. Saranya, A. Valarmathi

“…To improve detection and adapt to emerging attack methods, the M-LDAE system employs deep learning algorithms such as RNNs, GNNs, and TCNs. …”
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