ON STUDY OF TRAINING SUCCESS MATHEMATICAL MODEL AND OF CREATING PSYCHOLOGICAL DATABASE FOR MODEL TESTING by Galina Victorovna Belushkina, Marina Vladimirovna Vasilchenko, Natalya Alexandrovna Lopatkina, Olga Elfatovna Khafizyanova

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Theory of Planned Behavior in predicting condom use in Latin-American Women by David Javier Enríquez-Negrete, Ricardo Sánchez-Medina, Susana Xóchitl Bárcena-Gaona, Itzel Guadalupe Chávez-Santos

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A novel nomogram for predicting carotid atherosclerosis risks in diabetic patients by Jing Liu, Shoukun Dou, Yuan Zhang, Xiaoyun Zeng, Yingnan Kang, Qianna Xu, Xiangchen Liu, Ping Zhao

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Finding a constrained number of predictor phenotypes for multiple outcome prediction by Patrick B Ryan, Egill A Fridgeirsson, Jenna M Reps, Luis H John, Chungsoo Kim, Jenna Wong, Ross D Williams, Renae R Fisher

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Use Self-Training Random Forest for Predicting Winter Wheat Yield by Yulin Shen, Benoît Mercatoris, Qingzhi Liu, Hongxun Yao, Zongpeng Li, Zhen Chen, Wensheng Wang

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Brain Age Prediction Using a Lightweight Convolutional Neural Network by Fatma Eltashani, Mario Parreno-Centeno, James H. Cole, Joao Paulo Papa, Fumie Costen

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Effectiveness of Open, High and Low Prices in Stock Market Price Prediction by Collins C. Ngwakwe

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Learning motif features and topological structure of molecules for metabolic pathway prediction by Jianguo Hu, Yiqing Zhang, Jinxin Xie, Zhen Yuan, Zhangxiang Yin, Shanshan Shi, Honglin Li, Shiliang Li

“…MotifMol3D is an open-source tool that is available at https://github.com/Irena-Zhang/MotifMol3D.git . Scientific contribution MotifMol3D integrates motif information, graph neural networks, and 3D structural data to enhance feature extraction for small-sample molecules, improving the precision and interpretability of metabolic pathway predictions. …”
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From word models to executable models of signaling networks using automated assembly by Benjamin M Gyori, John A Bachman, Kartik Subramanian, Jeremy L Muhlich, Lucian Galescu, Peter K Sorger

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The prediction of haemophilic arthropathy progression based on MRI findings and clinical characteristics by Lu Zhang, Jinxia Guo, Shufang Wei, Jiajia Li, Yincong Dou, Tianming Cheng, Yinghui Ge, Tuo Zhang

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Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction. by Muhammad Rizwan Khurshid, Sadaf Manzoor, Touseef Sadiq, Lal Hussain, Mohammed Shahbaz Khan, Ashit Kumar Dutta

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Water pollution risk simulation and prediction in a drinking water catchment by LI Dan, LIANG Xinqiang, WU Jiaping

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A Multi-Mode Dynamic Fusion Mach Number Prediction Framework by Luping Zhao, Weihao Li, Wentao Xu

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Prediction of electric power and load forcasting using LSTM technique for EMS by Moustakim Mohammed Amine, Nasser Tamou, Elkamoun Najib, Essadki Ahmed

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Modelling Neonatal Care Pathways for Babies Born Preterm: An Application of Multistate Modelling. by Sarah E Seaton, Lisa Barker, Elizabeth S Draper, Keith R Abrams, Neena Modi, Bradley N Manktelow, UK Neonatal Collaborative

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RUL Prediction Based on MBGD-WGAN-GRU for Lithium-Ion Batteries by Zhiguo Zhao, Ke Li, Yibo Dai, Biao Chen, Yeqin Wang, Qian Zhao

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Personalizing motion sickness models: estimation and statistical modeling of individual-specific parameters by Varun Kotian, Daan M. Pool, Riender Happee

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A Review on Storage Process Models for Improving Water Quality Modeling in Rivers by Amir Mohammad Saadat, Sajad Khodambashi Emami, Hossein Hamidifar

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Hybrid machine learning algorithms accurately predict marine ecological communities by Luciana Erika Yaginuma, Luciana Erika Yaginuma, Fabiane Gallucci, Danilo Cândido Vieira, Paula Foltran Gheller, Simone Brito de Jesus, Thais Navajas Corbisier, Gustavo Fonseca

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Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome by Ge Jin, Xiaomei Fan, Xiaoliang Liang, Honghong Dai, Jun Wang

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