Lactate metabolism-related genes serve as potential biomarkers for predicting gastric cancer progression and immunotherapy by Mingjie Yuan, Xuekai Li, Xuanli Song, Xiaowei Chen, Yunshan Wang, Shuyi Han, Yang Ni, Duanrui Liu

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Mortalin overexpression predicts poor prognosis in early stage of non–small cell lung cancer by Jie Sun, Shuan-Long Che, Jun-Jie Piao, Ming Xu, Li-Yan Chen, Zhen-Hua Lin

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The Denitration Strategy of Predictive Dynamic Matrix Control (DMC) Combined with BP Neural Network in Fossil Fuel Power Plant by Tiankun WANG

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Dynamic Fusion of LSTM Predictions Using Reinforcement Learning-Based GOWLA for Human Activity Recognition by Hayder K. Fatlawi, Attila Kiss

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Predicting Interplanetary Shock Occurrence for Solar Cycle 25: Opportunities and Challenges in Space Weather Research by Denny M. Oliveira, Robert C. Allen, Livia R. Alves, Séan P. Blake, Brett A. Carter, Dibyendu Chakrabarty, Giulia D’Angelo, Kevin Delano, Ezequiel Echer, Cristian P. Ferradas, Matt G. Finley, Bea Gallardo‐Lacourt, Dan Gershman, Jesper W. Gjerloev, John Bosco Habarulema, Michael D. Hartinger, Rajkumar Hajra, Hisashi Hayakawa, Liisa Juusola, Karl M. Laundal, Robert J. Leamon, Michael Madelaire, Miguel Martínez‐Ledesma, Scott M. McIntosh, Yoshizumi Miyoshi, Mark B. Moldwin, Emmanuel Nahayo, Dibyendu Nandy, Bhosale Nilam, Katariina Nykyri, William R. Paterson, Mirko Piersanti, Ermanno Pietropaolo, Craig J. Rodger, Trunali Shah, Andy W. Smith, Nandita Srivastava, Bruce T. Tsurutani, S. Tulasi Ram, Lisa A. Upton, Bhaskara Veenadhari, Sergio Vidal‐Luengo, Ari Viljanen, Sarah K. Vines, Vipin K. Yadav, Jeng‐Hwa Yee, James W. Weygand, Eftyhia Zesta

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Intrapersonal strengths and interpersonal support: predicting academic buoyancy through psychological capital and growth mindset by Gui Xiao, Huifang Liu

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A study on predicting impaired fasting glucose risk in Chinese adults based on individual characteristics by Yijun Lin, Wenxu Wu, Wenxu Wu, Xiaoyan Liang, Liping Zhou, Gan Li, Cuiling Kang, Wuzhen Li, Chunyi Huang, Feng Tian

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Using machine learning and natural language processing in triage for prediction of clinical disposition in the emergency department by Yu-Hsin Chang, Ying-Chen Lin, Fen-Wei Huang, Dar-Min Chen, Yu-Ting Chung, Wei-Kung Chen, Charles C.N. Wang

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A novel lactylation-related gene signature to predict prognosis and treatment response in lung adenocarcinoma by Hongyi Zhang, Hongyi Zhang, Yihao Liu, Xuanguang Li, Chen Ding, Chunqiu Xia, Hua Huang, Hongyu Liu, Jun Chen, Jun Chen

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A Nomogram for Predicting Hospital Mortality in Patients with COVID-19 Admitted to the Intensive Care Unit by A. N. Kuzovlev, L. V. Ermokhina, N. S. Melnikova, L. B. Berikashvili, M. Ya. Yadgarov, K. K. Kadantseva, N. I. Chaus, S. N. Perekhodov, T. S. Serkova, V. V. Likhvantsev

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Prediction and optimization of gas turbine secondary air system cooling efficiency based on deep learning by Yulong Yao, Bo Hu, Chuan Wang, Jiawei Fan

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Genetically predicted brain cortical structure mediates the causality between insulin resistance and cognitive impairment by Chaojuan Huang, Yuyang Zhang, Mingxu Li, Qiuju Gong, Siqi Yu, Zhiwei Li, Mengmeng Ren, Xia Zhou, Xiaoqun Zhu, Zhongwu Sun

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Triglyceride-glucose indices predict all-cause mortality after stroke in NHANES 1999–2018 by Jiaqian Zheng, Jiaqian Zheng, Jiaqian Zheng, Weiwen Mao, Mengqian Sang, Xinyu Pan, Yiluo Xie, Yichi Xie, Yichi Xie

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Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer’s disease progression by Sepehr Aghajanian, Fateme Mohammadifard, Ida Mohammadi, Shahryar Rajai Firouzabadi, Ali Baradaran Bagheri, Elham Moases Ghaffary, Omid Mirmosayyeb

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Comparison of Machine Learning Methods (Linear Regression, Random Forest, and XGBoost) for Predicting Poverty in Central Java in 2024 by Zahwa Bunga Putri Pratama, Yani Parti Astuti

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Prediction of the discharge coefficient of steeply crested inclined weirs using different neural network techniques by Adnan A. Ismael, Abdulnaser A. Ahmed, Raid Rafi Omar Al-Nima, Mohammed Khaire Hussain

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Maximizing spatial–temporal coverage in mobile crowd-sensing based on public transports with predictable trajectory by Chaowei Wang, Chensheng Li, Cai Qin, Weidong Wang, Xiuhua Li

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Automated Loudness Growth Prediction From EEG Signals Using Autoencoder and Multi-Target Regression by D. Rama Harshita, Nitya Tiwari, Himanshu Padole, K. S. Nataraj

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Machine-learning prediction for hospital length of stay using a French medico-administrative database by Franck Jaotombo, Vanessa Pauly, Guillaume Fond, Veronica Orleans, Pascal Auquier, Badih Ghattas, Laurent Boyer

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Multiparametric MRI-based radiomics for preoperative prediction of parametrial invasion in early-stage cervical cancer by Chongshuang Yang, Man Li, Xin Yi, Lin Wang, Guangxian Kuang, Chunfang Zhang, Benyong Yao, Zhihong Qin, Tianliang Shi, Qiang Jiang

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