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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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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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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Machine Learning Approaches for the Prediction of Displaced Abomasum in Dairy Cows Using a Highly Imbalanced Dataset by Zeinab Asgari, Ali Sadeghi-Sefidmazgi, Abbas Pakdel, Saleh Shahinfar

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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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Recommendation model based on separated embedding interaction networks by FENG Shulei, JIANG Zhongyun

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Development and recalibration of a multivariable type 1 diabetes prediction model for type 1 diabetes across multiple screening studies by Erin L. Templeman, Lauric A. Ferrat, Hemang M. Parikh, Lu You, Taylor M. Triolo, Andrea K. Steck, William A. Hagopian, Kendra Vehik, Suna Onengut-Gumuscu, Peter A. Gottlieb, Stephen S. Rich, Jeffery P. Krischer, Maria J. Redondo, Richard A. Oram, the Type 1 diabetes TrialNet Study Group

“…A web calculator was developed to visualise individual risk estimates ( https://t1dpredictor.diabetesgenes.org ). Conclusions A stratified model incorporating the type 1 diabetes genetic risk score, family history, age, and autoantibody status can predict type 1 diabetes risk with improved accuracy, but may need recalibration depending on the screening strategy.…”
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Machine learning modeling based on informer for predicting complex unsteady flow fields to reduce consumption of computational fluid dynamics simulation by Mingkun Fang, Fangfang Zhang, Di Zhu, Ruofu Xiao, Ran Tao

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Spatio-Temporal Predictive Learning Using Crossover Attention for Communications and Networking Applications by Ke He, Thang Xuan Vu, Lisheng Fan, Symeon Chatzinotas, Bjorn Ottersten

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Development and Validation of Models to Predict Cesarean Delivery among Low-Risk Nulliparous Women at Term: A Retrospective Study in China by Fangcan Sun, Fangfang Wu, Huiyun Chen, Qianqian Shen, Youguo Chen, Minhong Shen, Bing Han

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