Prediction of hypertensive disorders in pregnant women in the «gray» risk zone following combined first-trimester screening by N. V. Mostova, V. V. Kovalev, E. V. Kudryavtseva

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Hydrogen Leakage Location Prediction in a Fuel Cell System of Skid-Mounted Hydrogen Refueling Stations by Leiqi Zhang, Qiliang Wu, Min Liu, Hao Chen, Dianji Wang, Xuefang Li, Qingxin Ba

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Finite element analysis of chloride ion penetration and service life prediction in concrete with supplementary cementitious materials by Pooria Dashti, Faramarz Moodi, Ali Akbar Ramezanianpour, Rasoul Banar

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Addition of Social Determinants of Health to Coronary Heart Disease Risk Prediction: The Multi‐Ethnic Study of Atherosclerosis by Brittany Saldivar Murphy, Yunbi Nam, Robyn L. McClelland, Isaac Acquah, Miguel Cainzos‐Achirica, Khurram Nasir, Wendy S. Post, Melinda C. Aldrich, Andrew P. DeFilippis

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Clinical evaluation of Rega 8: an updated genotypic interpretation system that significantly predicts HIV-therapy response. by Jurgen Vercauteren, Gertjan Beheydt, Mattia Prosperi, Pieter Libin, Stijn Imbrechts, Ricardo Camacho, Bonaventura Clotet, Andrea De Luca, Zehava Grossman, Rolf Kaiser, Anders Sönnerborg, Carlo Torti, Eric Van Wijngaerden, Jean-Claude Schmit, Maurizio Zazzi, Anna-Maria Geretti, Anne-Mieke Vandamme, Kristel Van Laethem

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Optimizing Stroke Risk Prediction: A Primary Dataset‐Driven Ensemble Classifier With Explainable Artificial Intelligence by Md. Maruf Hossain, Md. Mahfuz Ahmed, Md. Rakibul Hasan Rakib, Mohammad Osama Zia, Rakib Hasan, Md. Rakibul Islam, Md. Shohidul Islam, Md Shahariar Alam, Md. Khairul Islam

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Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data by Tongtong Jin, Ayitijiang· Halili

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Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state by Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri

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Prediction of risk for early or very early preterm births using high-resolution urinary metabolomic profiling by Yaqi Zhang, Karl G. Sylvester, Ronald J. Wong, Yair J. Blumenfeld, Kuo Yuan Hwa, C. James Chou, Sheeno Thyparambil, Weili Liao, Zhi Han, James Schilling, Bo Jin, Ivana Marić, Nima Aghaeepour, Martin S. Angst, Brice Gaudilliere, Virginia D. Winn, Gary M. Shaw, Lu Tian, Ruben Y. Luo, Gary L. Darmstadt, Harvey J. Cohen, David K. Stevenson, Doff B. McElhinney, Xuefeng B. Ling

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Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis by Qianqian Zhao, Yijie Li, Chunliu Zhao, Ran Dong, Jiaxin Tian, Ze Zhang, Lin Huang, Jingwen Huang, Junhai Yan, Zhitao Yang, Jiangnan Ruan, Ping Wang, Li Yu, Jieming Qu, Min Zhou

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Predicting Unsteady Flow Parameters in a Subsonic Air Diffuser Using MacCormack’s Explicit Method by Tawfeeq Wasmi M. Salih

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Heavy Study Investment in Indonesian College Students: Do Studyholism and Study Engagement Predict Academic Resilience? by M. Fadli Nugraha, Yura Loscalzo

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Short-term Price Prediction in Initial Public Offerings Using XGBoost: Bist Technology Sector Example by Ayse Merve Acılar, Gamze Şekeroğlu

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Development of a risk score for prediction of poor treatment outcomes among patients with multidrug-resistant tuberculosis. by Kefyalew Addis Alene, Kerri Viney, Darren J Gray, Emma S McBryde, Zuhui Xu, Archie C A Clements

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Analyzing and Predicting LUCC and Carbon Storage Changes in Xinjiang’s Arid Ecosystems Under the Carbon Neutrality Goal by Jie Song, Xin He, Fei Zhang, Xu Ma, Chi Yung Jim, Brian Alan Johnson, Ngai Weng Chan

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A nicotinamide metabolism-related gene signature for predicting immunotherapy response and prognosis in lung adenocarcinoma patients by Meng Wang, Wei Li, Fang Zhou, Zheng Wang, Xiaoteng Jia, Xingpeng Han

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Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols by Shoji Taniguchi, Toshihiro Sakamoto, Haruki Nakamura, Yasunori Nonoue, Di Guan, Akari Fukuda, Hirofumi Fukuda, Kaede C. Wada, Takuro Ishii, Jun-Ichi Yonemaru, Daisuke Ogawa

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Low expression of CADPS predicts poor prognosis in pediatric acute lymphoblastic leukemia without fusion genes by Bin Zhang, Chaoran Shi, Xiuxiu Wang, Jiajia Mi, Runan Wang, Shuang Li, Jiawei Yang, Qiuying He, Yujiao Wang, Zuofei Chi, Liangchun Hao

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Development and validation of a nomogram for predicting cancer-related fatigue in patients with glioma: a multicenter study by Qiuxia Wu, Cuiqun Su, Manxia Xing, Liangmei Ouyang

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A multitask framework based on CA-EfficientNetV2 for the prediction of glioma molecular biomarkers by Qian Xu, Feng Ning Liang, Ya Ru Cao, Jin Duan, Teng Cui, Teng Zhao, Hong Zhu

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