A Weight Assignment-Enhanced Convolutional Neural Network (WACNN) for Freight Volume Prediction of Sea–Rail Intermodal Container Systems by Yuhonghao Wang, Wenxin Li, Xingmin Qi, Yinzhang Yu

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Multidimensional assessment of the spatiotemporal evolution, driving mechanisms, and future predictions of urban heat islands in Jinan, China by Lingye Tan, Tiong Lee Kong Robert, Yan Zhang, Siyi Huang, Ziyang Zhang

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The Application of Imperialist Competitive Algorithm in Determining the Optimal Parameters of Empirical Area Reduction Method to Predict the Sedimentation Process in Dez Dam by Arash Azari, Sadegh Soori Hossein Bonakdari, Hossein Bonakdari

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Optimization of New Energy Vehicle Industry Structure Based on Optimization Link Prediction Similarity Algorithm and CGE by Zhenjun Xie

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Predicting Atmospheric Dispersion of Industrial Chemicals Using Machine Learning Approaches by Maria Valle, Jairo A. Cardona, Cesar Viloria-Nunez, Christian G. Quintero M.

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Prediction of drag coefficient of a hybrid body design of aircraft by Shreya Viswanath, Riya Vasan, Venkatachalam Gopalan, Nilesh Satonkar

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Determining the Optimal Flowering Time in Rainfed Wheat Under Simultaneous Heat and Drought Stresses in Some Regions of Iran as Predicted by APSIM-Wheat Model by َArezu Shahbazi, Sara Abedini, Reza Deihimfard, Sajjad Rahimi-Moghaddam, Omid Noori

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Improved Connected-Mode Discontinuous Reception (C-DRX) Power Saving and Delay Reduction Using Ensemble-Based Traffic Prediction by Ji-Hee Yu, Yoon-Ju Choi, Seung-Hwan Seo, Seong-Gyun Choi, Hye-Yoon Jeong, Ja-Eun Kim, Myung-Sun Baek, Young-Hwan You, Hyoung-Kyu Song

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Substantial reduction in the clinical and economic burden of disease following variant-adapted mRNA COVID-19 vaccines in immunocompromised patients in France by Amy Lee, Benjamin Davido, Ekkehard Beck, Clarisse Demont, Keya Joshi, Michele Kohli, Michael Maschio, Mathieu Uhart, Nadia El Mouaddin

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Early reduction in total cholesterol to high-density lipoprotein cholesterol ratio predicts hydroxychloroquine efficacy in treating IgA nephropathy by Yaotong Shi, Ting Yang, Yuan Feng, Nan Li, Qiuyuan Shao, Chunming Jiang, Jing Liu

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Research on Key Parameters of Wellbore Stability for Horizontal Drilling in Offshore Hydrate Reservoirs by Zhengfeng Shan, Xiansi Wang, Zeqin Li, Zhenggang Gong, Nan Ma, Jianbo Zhang, Zhiyuan Wang, Baojiang Sun

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Development and validation of a LASSO logistic regression based nomogram for predicting live births in women with polycystic ovary syndrome: a retrospective cohort study by Yue Liu, Jingshu Gao, Hang Ge, Hang Ge, Jiaxing Feng, Yu Wang, Xiaoke Wu, Xiaoke Wu

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Conciliating accuracy and efficiency to empower engineering based on performance: a short journey by Chinesta, Francisco, Cueto, Elias

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Degradation of poly (2-ethyl-2-oxazoline) prepared at lower temperature: a study of kinetics using thermal analysis and advanced predictive modeling by Abdulrahman Alarabi, Imtiaz Ali

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Validation of a risk-prediction model for pediatric post-discharge mortality after hospital admission for infection in Rwanda: A prospective cohort study. by Anneka Hooft, Christian Umuhoza, Jessica Trawin, Cynthia Mfuranziza, Emmanuel Uwiragiye, Cherri Zhang, Vuong Nguyen, Aaron Kornblith, Nathan Kenya Mugisha, J Mark Ansermino, Matthew O Wiens

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Mud Loss Analysis Through Predictive Modeling of Pore Pressure and Fracture Gradients in Tin Fouye Tabankort Field, Western Illizi Basin, Algeria by Reda Laouini, Messaoud Hacini, Hocine Merabti, Fethi Medjani, Omar Mahmoud

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A Novel Approach to Enhancing the Accuracy of Prediction in Ship Fuel Consumption by Tianrui Zhou, Jinggai Wang, Qinyou Hu, Zhihui Hu

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Evaluation of the impact of COVID-19 pandemic on hospital admission related to common infections: Risk prediction models to tackle antimicrobial resistance in primary care. by Ali Fahmi, Victoria Palin, Xiaomin Zhong, Ya-Ting Yang, Simon Watts, Darren M Ashcroft, Ben Goldacre, Brian MacKenna, Louis Fisher, Jon Massey, Amir Mehrkar, Seb Bacon, OpenSAFELY Collaborative, Kieran Hand, Tjeerd Pieter van Staa

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A Neural Network-Based Model Predictive Control for a Grid-Connected Photovoltaic–Battery System with Vehicle-to-Grid and Grid-to-Vehicle Operations by Ossama Dankar, Mohamad Tarnini, Abdallah El Ghaly, Nazih Moubayed, Khaled Chahine

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Development and validation of an improved prediction model for vaginal birth after previous cesarean section: a retrospective cohort study of a Chinese population by Haiyan Liu, Yi Yu, Xiaoyue Zhang, Jiangnan Pei, Yao Tang, Rong Hu, Weirong Gu

“…Internal validation performed by bootstrap resampling, calibration curves, and Hosmer-Lemeshow test confirmed the model’s robust performance. An optimal predicted probability cut-off of 0.7 was identified by decision curve analysis and clinical considerations.Conclusions The improved predictive VBAC model exhibited adequate performance such that women with a prior low transverse cesarean delivery who scored 0.7 or higher (in the model-derived probability score) would consider TOLAC, potentially leading to a reduction in maternal-neonatal morbidity.Registration The study was approved by the Ethical Committee of Obstetrics and Gynecology Hospital, Fudan University (2018-43) and was registered in the Chinese Clinical Trial Registry (ChiCTR1900022484), https://www.chictr.org.cn/showproj.html?…”
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