Explainable machine learning model for predicting decline in platelet count after interventional closure in children with patent ductus arteriosus by Song-Yue Zhang, Yi-Dong Zhang, Hao Li, Qiao-Yu Wang, Qiao-Fang Ye, Xun-Min Wang, Tian-He Xia, Yue-E He, Xing Rong, Ting-Ting Wu, Rong-Zhou Wu

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The effect of offline student conferences on the levels of satisfaction, learning and performance of medical intern students on the basis of the Kirkpatrick’s educational model by Ezatolah Rahimi Rahimi, Nasrin Moghimi, Solmaz Derakhshan, Roonak Mohajerpour, Khaled Rahmani, Yadolah Zarezadeh

“…The first three levels of Kirkpatrick's model including reaction, learning and behavior were investigated. The relationship between variables was analyzed based on the type of variable. …”
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Prediction of Cisplatin‐Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record Information by Kaori Ambe, Yuka Aoki, Miho Murashima, Chiharu Wachino, Yuto Deki, Masaya Ieda, Masahiro Kondo, Yoko Furukawa‐Hibi, Kazunori Kimura, Takayuki Hamano, Masahiro Tohkin

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Psychological Distress and Online Academic Difficulties: Development and Validation of Scale to Measure Students’ Mental Health Problems in Online Learning by Mihai Curelaru, Versavia Curelaru

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Cry-Based Classification of Healthy and Sick Infants Using Adapted Boosting Mixture Learning Method for Gaussian Mixture Models by Hesam Farsaie Alaie, Chakib Tadj

“…Cry pattern for each pathological condition is created by using adapted boosting mixture learning (BML) method to estimate mixture model parameters. …”
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Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction by Yimeng Kang, Wenjing Li, Qingqing Lv, Qiuying Tao, Jieping Sun, Jinghan Dang, Xiaoyu Niu, Zijun Liu, Shujian Li, Zanxia Zhang, Kaiyu Wang, Baohong Wen, Jingliang Cheng, Yong Zhang, Weijian Wang

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Data Driven Real-Time Dynamic Voltage Control Using Decentralized Execution Multi-Agent Deep Reinforcement Learning by Yuling Wang, Vijay Vittal

“…To enhance the controller’s resilience in addressing communication failures, a dynamic voltage control method employing distributed execution multi-agent deep reinforcement learning(DRL) is proposed. The proposed method follows a centralized training and decentralized execution based approach. …”
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Pengembangan dan Penerapan Sistem Persuasif pada E-learning : Aspek Perceived System Credibility dan Social Influence by Vanya Anjani Mupti, Yohana Dewi Lulu Widyasari, Indah Lestari

Subjects: “…E-learning…”
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Exploring the influence of age on the causes of death in advanced nasopharyngeal carcinoma patients undergoing chemoradiotherapy using machine learning methods by Mengni Zhang, Shipeng Zhang, Xudong Ao, Lisha Liu, Shunlin Peng

Subjects: “…Machine learning models…”
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A novel way to use cross-validation to measure connectivity by machine learning allows epilepsy surgery outcome prediction by Karla Ivankovic, Alessandro Principe, Justo Montoya-Gálvez, Linus Manubens-Gil, Riccardo Zucca, Pablo Villoslada, Mara Dierssen, Rodrigo Rocamora

Subjects: “…Machine learning…”
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Statistical Insights Into Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey by Issac Neha Margret, K. Rajakumar, K. V. Arulalan, S. Manikandan, Valentina

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Engaging High Water Users in Water Conservation #3: High Water Users’ Opportunities to Learn about Water Conservation by Pei-wen Huang, Alexa J. Lamm

“…AEC595/WC257: Engaging High Water Users in Water Conservation #3: High Water Users' Opportunities to Learn about Water Conservation (ufl.edu) …”
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A Machine Learning-Based Classification of Immunogenic Cell Death Regulators and Characterisation of Immune Microenvironment in Acute Ischemic Stroke by Mengying Wang, Guolian Wei, Shaorui Gu, Zhengyuan Huo, Xue Han

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The effect of mind mapping on the level of student learning success in the Pancasila course: a study on students of the UNY English department by Isra' Nurhanifah, Mukhamad Murdiono, Chandra Dewi Puspitasari

Subjects: “…mind mapping pre-experimental learning success paired sample test pancasila…”
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BiST-SA-LSTM: A Deep Learning Framework for End-to-End Prediction of Mesoscale Eddy Distribution in Ocean by Yaoran Chen, Zijian Zhao, Yaojun Yang, Xiaowei Li, Yan Peng, Hao Wu, Xi Zhou, Dan Zhang, Hongyu Wei

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The Effect of Integrated Subject-Based Instruction on Learning and Academic Achievement Motivation of Professional-Skills of Students with Special Mental Needs by Ali Mihandost, Zabiholah Alahi, Hamidreza Jangizahi, Majid Kahrazehi

Subjects: “…learning…”
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A deep learning model for assistive decision-making during robot-aided rehabilitation therapies based on therapists’ demonstrations by David Martínez-Pascual, José M. Catalán, Luís D. Lledó, Andrea Blanco-Ivorra, Nicolás García-Aracil

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Automatic Detection of Railway Faults Using Neural Networks: A Comparative Study of Transfer Learning Models and YOLOv11 by Omar Rodríguez-Abreo, Mario A. Quiroz-Juárez, Idalberto Macías-Socarras, Juvenal Rodríguez-Reséndiz, Juan M. Camacho-Pérez, Gabriel Carcedo-Rodríguez, Enrique Camacho-Pérez

Subjects: “…deep learning…”
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Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India by Trinh Quoc Ngo, Nguyen Duc Dam, Nadhir Al-Ansari, Mahdis Amiri, Tran Van Phong, Indra Prakash, Hiep Van Le, Hanh Bich Thi Nguyen, Binh Thai Pham

“…Single, ensemble, and hybrid machine learning (ML) models have been used in landslide studies for better landslide susceptibility mapping and risk management. …”
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Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigm by Roos J. Jutten, Daniel Soberanes, Cassidy P. Molinare, Stephanie Hsieh, Michelle E. Farrell, Aaron S. Schultz, Dorene M. Rentz, Gad A. Marshall, Keith A. Johnson, Reisa A. Sperling, Rebecca E. Amariglio, Kathryn V. Papp

“…The Boston Remote Assessment for NeuroCognitive Health (BRANCH) captures a personalized learning curve for the same information presented over seven consecutive days. …”
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