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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Improving the accuracy of geological models and seismic sedimentology using sedimentary forward modeling by Fan Zuochun, Fan Zuochun, Hu Changhao, Jiang Shu, Yao Rui, Li Man, Zhao Lintian

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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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Evaluating RANS and LES turbulence models in hybrid wave modelling of breaking waves by Chengzhao Zhang, Eugeny Buldakov

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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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Combining review elements for modelling various multi-criteria collaborative recommendation models by Sumaia Mohammed AL-Ghuribi, Shahrul Azman Mohd Noah, Sabrina Tiun, Mawal A. Mohammed, Nur Izyan Yasmin Saat

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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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Deep learning prediction of mammographic breast density using screening data by Chen Chen, Enyu Wang, Vicky Yang Wang, Xiayi Chen, Bojian Feng, Ruxuan Yan, Lingying Zhu, Dong Xu

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Cell-free DNA testing for the detection and prognosis prediction of pancreatic cancer by Jianmin Wu, Xiongfei Xu, Qingzheng Zhang, Peilong Li, Tong Wu, Shiwei Guo, Lutao Du, Dongdong Xue, Siyun Shen, Fuming Sun, Ji Hu, Lu Zheng, Xuan Wu, Jian Bai, Yin Wang, Lin Wu, Weiwei Liu, Hongyang Wang, Gang Jin, Lei Chen

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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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The value of nomogram analysis in predicting pulmonary metastasis in hepatic alveolar echinococcosis by Changyou Long, Yeang Danzeng, Pengqi Tian, Yujie Xing, Xueqian Zhang, Haihua Bao

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