Machine learning for prediction of childhood mental health problems in social care by Ryan Crowley, Katherine Parkin, Emma Rocheteau, Efthalia Massou, Yasmin Friedmann, Ann John, Rachel Sippy, Pietro Liò, Anna Moore

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A Machine Learning Approach to Explore and Predict Student Motivation Types by Hafsa Al Ansari, Rasha Shakir Abdulwahhab Al Jassim, Rupert Ward

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Predictive criteria for the function of the right ventricle of the heart during mechanical bypass of the left ventricle by D. D. Uzunin, S. Yu. Shemakin

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Validation of a didactic model evaluating the usability, usefulness and acceptability of psychological first aid teaching through simulation by Emeric Saguin, Julia Salomé, Benoît Favodon, Bertrand Lahutte, Frédérique Gignoux-Froment

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Predicting post-traumatic growth based on rumination-reflection in patients with cancer by Elmira Majedi, Mahdieh Salehi, Amin Rafiepoor, Afsaneh Ghanbaripanah

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Fecal metabolites as early-phase biomarkers and prediction panel for ischemic stroke by Ke Xu, Zhe Ren, Shuang Zhao, Yi Ren, Jiaolin Wang, Wentao Wu, Zicheng Hu, Fei He, Dianji Tu, Qi Zhong, Jianjun Chen, Peng Xie

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Balanced time perspective, time management disposition, and resilience: a moderated mediation model of academic performance by Yan Li

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Data-Driven Revolution in Academic Support for Mathematics Underachievers through Random Forest Individual and Hybrid Model by Asadi Srinivasulu, Vanithamani Palanisamy

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Evaluating the Performance of Large Language Models on the CONACEM Anesthesiology Certification Exam: A Comparison with Human Participants by Fernando R. Altermatt, Andres Neyem, Nicolás I. Sumonte, Ignacio Villagrán, Marcelo Mendoza, Hector J. Lacassie

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Relationship between cumulative peer risk and sense of security among adolescents: a moderated mediation model by Lili Ji, Yifan Yu, Jiaojiao Wan, Yafei Zhang, Junfeng Zhao, Chaoran Chen

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Retinal thickness predicts the risk of cognitive decline over five years by Leila Sara Eppenberger, Chi Li, Damon Wong, Bingyao Tan, Gerhard Garhöfer, Saima Hilal, Eddie Chong, An Qi Toh, Narayanaswamy Venketasubramanian, Christopher Li-Hsian Chen, Leopold Schmetterer, Jacqueline Chua

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Prediction of adolescent subjective well-being: A machine learning approach by Lin He, Fei Xu, Yifeng Xu, Naixin Zhang, Chuanxin Liu, Zhixuan Chen, Lin An, Decheng Ren, Fan Yuan, Ruixue Yuan, Lei Ji, Yan Bi, Zhenming Guo, Gaini Ma, Fengping Yang, Liping Zhu, Gabirel Robert, Bo Bai, Tao Yu, Guang He

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Enhanced Butterfly Optimization and Deep Learning Algorithm for Student Placement Prediction by T. Kavi Priya, N. Kumar

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Predicting support for recolonization of mountain lions (Puma concolor) in the Adirondack park by Elizabeth B. Mcgovern, Heidi E. Kretser

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Evaluating the relative predictive validity of measures of self-referential processing for depressive symptom severity by Ethel Siew Ee Tan, Hong Ming Tan, Kah Vui Fong, Sheryl Yu Xuan Tey, Nikita Rane, Chong Wei Ho, Zhao Yuan Tan, Rachel Jing Min Ong, Chloe Teo, Jerall Yu, Maxine Lee, An Rae Teo, Sin Kee Ong, Xin Ying Lim, Jin Lin Kee, Jussi Keppo, Geoffrey Chern-Yee Tan

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Prediction of Single Event Effect in Inverter Circuit Based on Deep Learning by Jin Huang, Rong Zhao, Shulong Wang, Xingyuan Yan, Hao Zhou, Liutao Li, Shupeng Chen, Hongxia Liu

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Ensemble learning based sustainable approach to rebuilding metal structures prediction by Tetiana Vlasenko, Taras Hutsol, Vitaliy Vlasovets, Szymon Glowacki, Tomasz Nurek, Iryna Horetska, Savelii Kukharets, Yuriy Firman, Olexandra Bilovod

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The application of machine learning approaches to classify and predict fertility rate in Ethiopia  by Ewunate Assaye Kassaw, Biruk Beletew Abate, Bekele Mulat Enyew, Ashenafi Kibret Sendekie

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Psychiatric factors predict type 2 diabetes mellitus in US Veterans by Lora Lee Pless, Chantele Mitchell-Miland, Yeon-Jung Seo, Charles B. Bennett, Zachary Freyberg, Gretchen L. Haas

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On Knowledge-Based Forecasting Approach for Predicting the Effects of Oil Spills on the Ground by D. Kalibatiene, A. Burmakova, V. Smelov

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