Predicting Student Dropout Through Text and Media Content Analysis of VKontakte Profiles by Sergei S. Gorshkov, Dmitry I. Ignatov, Anastasia Yu. Chernysheva

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Metabolic reprogramming and prognostic modeling in pancreatic cancer: insights from WGCNA by Zhuo Song, Zhijia Sun, Yupeng Di, Xu Liu, Xiaoli Kang, Gang Ren, Yingjie Wang

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Improved radiation risk models applied to different patient groups in Sweden by M. Andersson, K. Eckerman, D. Pawel, A. Almen, S. Mattsson

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Leveraging machine learning models for anemia severity detection among pregnant women following ANC: Ethiopian context by Bekan Kitaw, Chera Asefa, Firew Legese

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Predicting the spatial distribution of water applied by subsurface drip in clay soil by Mayara O. Rocha, Amilton G. S. de Miranda, Policarpo A. da Silva, Adunias dos S. Teixeira, Fernando F. da Cunha

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Implementing an undergraduate learning assistant model to foster engagement and professional development in microbiology courses by Katriana A. Popichak, Paige E. Gruber, Erica L. Suchman, Jennifer L. McLean

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Approaches to Proxy Modeling of Gas Reservoirs by Alexander Perepelkin, Anar Sharifov, Daniil Titov, Zakhar Shandrygolov, Denis Derkach, Shamil Islamov

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Education and education with values in the face of contemporary challenges by Beata Rola, Jarosław Rola

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Retrieval-augmented generation for educational application: A systematic survey by Zongxi Li, Zijian Wang, Weiming Wang, Kevin Hung, Haoran Xie, Fu Lee Wang

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Blended learning as a form of language education for university students by Ludmila Yu. Kaplina, Arina V. Banartseva

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Prediction and design of thermostable proteins with a desired melting temperature by Purva Tijare, Nishant Kumar, Gajendra P. S. Raghava

“…We created a user-friendly web server, and a Python package for predicting and designing thermostable proteins is available at https://webs.iiitd.edu.in/raghava/pptstab , https://github.com/raghavagps/pptstab .…”
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Comprehensive characterization of T cell subtypes in lung adenocarcinoma: Prognostic, predictive, and therapeutic implications by Shiquan Liu, Hao Sun, Tianye Song, Ce Liang, Lele Deng, Haiyong Zhu, Fangchao Zhao, Shujun Li

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Prediction of vaccination coverage levels in populations with increasing levels of heterogeneity by Fan Bai

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Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers by Palawat Busaranuvong, Emmanuel Agu, Deepak Kumar, Shefalika Gautam, Reza Saadati Fard, Bengisu Tulu, Diane Strong

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Neural Network Technologies in Predicting the Operating Status of Agricultural Enterprises by Aleksandr V. Grachev

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Prediction of subway shield construction parameters based on multi-layer perceptron by LI Wenqian, WU Yunhuan, WU Jingye, CHEN Zhihuai, XIE Senlin, HU Anfeng

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An innovative approach to teaching endodontics in the preclinical stage of the dental education

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Improvement of students’ physical fitness in physical education classes using CrossFit means by Oleksandr Pryimakov, Stanislav Prysiazhniuk, Georgiy Korobeynikov, Dmytro Oleniev, Vitalii Polyvaniuk, Nataliya Mazurok, Olena Omelchuk

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Personalised higher education based on microcourses: Possible ways of implementation by L. O. Denishcheva, I. S. Safuanov, Yu. A. Semenyachenko

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ShinyGS—a graphical toolkit with a serial of genetic and machine learning models for genomic selection: application, benchmarking, and recommendations by Le Yu, Le Yu, Yifei Dai, Mingjia Zhu, Linjie Guo, Yan Ji, Huan Si, Lirui Cheng, Tao Zhao, Yanjun Zan

“…A series of statistical and machine learning models has been developed to increase the prediction performance continuously. …”
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