Rôle de la conciliation des sphères de vie dans la prédiction de l’intention de départ chez les sapeurs-pompiers volontaires français by Marina Burakova, Aline Duperthuy, Anaïs Martin

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Analysis and prediction of immune cell infiltration characteristics in COPD: Folium isatidis and its active ingredients are able to combat lung lesions caused by COPD by correcting... by Faqin Wang, Faqin Wang, Weichen Zhang, Yujie Huang, Xianbang Hou, Liwei He, Liwei He, Huiqin Xu

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Construction and validation of a novel nomogram based on the log odds of positive lymph nodes to predict cancer-specific survival in elderly patients with gastric adenocarcinoma af... by Lei Wang, Jingjing Ge, Yihua Fang, Huiqiong Han, Yanru Qin

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Construction of a stromal cell-related prognostic signature based on a 101-combination machine learning framework for predicting prognosis and immunotherapy response in triple-nega... by Fanrong Li, Congnan Jin, Yacheng Pan, Zheng Zhang, Liying Wang, Jieqiong Deng, Yifeng Zhou, Yifeng Zhou, Binbin Guo, Shenghua Zhang, Shenghua Zhang

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A Novel Evolutionary Deep Learning Approach for PM_2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran by Mehrdad Kaveh, Mohammad Saadi Mesgari, Masoud Kaveh

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The Impact of the SMOTE Method on Machine Learning and Ensemble Learning Performance Results in Addressing Class Imbalance in Data Used for Predicting Total Testosterone Deficiency... by Mehmet Kivrak, Ugur Avci, Hakki Uzun, Cuneyt Ardic

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Exploring the effect of the triglyceride-glucose index on bone metabolism in prepubertal children, a retrospective study: insights from traditional methods and machine-learning-bas... by Shunshun Cao, Aolei Chen, Botian Song, Yangyang Hu

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A graph attention network-based multi-agent reinforcement learning framework for robust detection of smart contract vulnerabilities by Philip Kwaku Adjei, Qin Zhiguang, Isaac Amankona Obiri, Ansu Badjie, Christian Nii Aflah Cobblah, Ali Alqahtani, Yeong Hyeon Gu, Mugahed A. Al-antari

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Association between erectile dysfunction and the predicted 10-year risk for atherosclerosis cardiovascular disease among U.S. men: a population-based study from the NHANES 2001-200... by Yangyang Mei, Yiming Chen, Yiming Chen, Xiaogang Wang, Xiaogang Wang, Xiaogang Wang, Renfang Xu, Renfang Xu, Rui Xu, Xingliang Feng, Xingliang Feng

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Machine Learning-Driven Prediction of CO₂ Solubility in Brine: A Hybrid Grey Wolf Optimizer (GWO)-Assisted Gaussian Process Regression (GPR) Approach by Seyed Hossein Hashemi, Farshid Torabi, Paitoon Tontiwachwuthikul

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Preoperatively predicting failure to achieve the minimum clinically important difference and the substantial clinical benefit in patient-reported outcome measures for total hip art... by Jaeyoung Park, Xiang Zhong, Emilie N. Miley, Chancellor F. Gray

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Predicting High-Grade Patterns in Stage I Solid Lung Adenocarcinoma: A Study of 371 Patients Using Refined Radiomics and Deep Learning-Guided CatBoost Classifier by Hong Zheng MS, Wei Chen MS, Jun Liu MD, Lian Jian MD, Tao Luo BS, Xiaoping Yu MD

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Intratumoral and peritumoral ultrasound radiomics analysis for predicting HER2-low expression in HER2-negative breast cancer patients: a retrospective analysis of dual-central stud... by Jiajia Wang, Yunxin Gu, Yunyun Zhan, Rubing Li, Yu Bi, Lan Gao, Xiabi Wu, Jiaqi Shao, Yilin Chen, Lei Ye, Mei Peng

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The clinical efficacy of a novel smartphone-based salivary self-test for the prediction of pre-eclampsia, pregnancy-induced hypertension and intrauterine growth restriction: a pros... by Ida Catharina Püschl, Ida Catharina Püschl, Lisbeth Bonde, Thomas Alexander Gerds, Mia Sato Tackney, James Quest, Bjarke Lund Sorensen, Nicholas Stephen Macklon, Nicholas Stephen Macklon

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A web-based tool for predicting gastric ulcers in Chinese elderly adults based on machine learning algorithms and noninvasive predictors: A national cross-sectional and cohort stud... by Xingjian Xiao, Xiaohan Yi, Zumin Shi, Zongyuan Ge, Hualing Song, Hailei Zhao, Tiantian Liang, Xinming Yang, Suxian Liu, Bo Sun, Xianglong Xu

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Circulating receptor activator of nuclear factor kappa-B ligand (RANKL) levels predict response to immune checkpoint inhibitors in advanced non-small cell lung cancer (NSCLC) by Bruno Vincenzi, Alessio Cortellini, Daniele Santini, Marco Russano, Giuseppe Tonini, Sonia Simonetti, Michele Iuliani, Silvia Cavaliere, Francesco Pantano, Leonardo Cristofani

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The Value of Cerebral Blood Volume Derived from Dynamic Susceptibility Contrast Perfusion MRI in Predicting IDH Mutation Status of Brain Gliomas—A Systematic Review and Meta-Analys... by José Pablo Martínez Barbero, Francisco Javier Pérez García, Paula María Jiménez Gutiérrez, Marta García Cerezo, David López Cornejo, Gonzalo Olivares Granados, José Manuel Benítez, Antonio Jesús Láinez Ramos-Bossini

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PLASMOpred: A Machine Learning-Based Web Application for Predicting Antimalarial Small Molecules Targeting the Apical Membrane Antigen 1–Rhoptry Neck Protein 2 Invasion Complex by Eugene Lamptey, Jessica Oparebea, Gabriel Anyaele, Belinda Ofosu, George Hanson, Patrick O. Sakyi, Odame Agyapong, Dominic S. Y. Amuzu, Whelton A. Miller, Samuel K. Kwofie, Henrietta Esi Mensah-Brown

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Software Defects Identification: Results Using Machine Learning and Explainable Artificial Intelligence Techniques by Momotaz Begum, Mehedi Hasan Shuvo, Imran Ashraf, Abdullah Al Mamun, Jia Uddin, Md Abdus Samad

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A Stacking Ensemble Framework Leveraging Synthetic Data for Accurate and Stable Crop Yield Forecasting by Muhammad Waqar, Yong-Woon Kim, Yung-Cheol Byun

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