Development and validation of a risk score predicting substantial weight gain over 5 years in middle-aged European men and women. by Annika Steffen, Thorkild I A Sørensen, Sven Knüppel, Noemie Travier, María-José Sánchez, José María Huerta, J Ramón Quirós, Eva Ardanaz, Miren Dorronsoro, Birgit Teucher, Kuanrong Li, H Bas Bueno-de-Mesquita, Daphne van der A, Amalia Mattiello, Domenico Palli, Rosario Tumino, Vittorio Krogh, Paolo Vineis, Antonia Trichopoulou, Philippos Orfanos, Dimitrios Trichopoulos, Bo Hedblad, Peter Wallström, Kim Overvad, Jytte Halkjær, Anne Tjønneland, Guy Fagherazzi, Laureen Dartois, Francesca Crowe, Kay-Tee Khaw, Nick Wareham, Lefkos Middleton, Anne M May, Petra H M Peeters, Heiner Boeing

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Safe opioid prescribing: a prognostic machine learning approach to predicting 30-day risk after an opioid dispensation in Alberta, Canada by Vishal Sharma, Dean T Eurich, Salim Samanani, Vinaykumar Kulkarni, Luke Kumar

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Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study by Huanhuan Ren, Junhao Huang, Yao Huang, Bangyuan Long, Mei Zhang, Jing Zhang, Huarong Li, Tingting Huang, Daihong Liu, Ying Wang, Jiuquan Zhang

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Estimation of ryegrass (Lolium) dry matter yield using genomic prediction considering genotype by environment interaction across south-eastern Australia by Jiashuai Zhu, Jiashuai Zhu, Khageswor Giri, Zibei Lin, Noel O. Cogan, Noel O. Cogan, Joe L. Jacobs, Joe L. Jacobs, Joe L. Jacobs, Kevin F. Smith, Kevin F. Smith

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Identifying Optimal Variables to Predict Soil Organic Carbon in Sandy, Saline, and Black Soil Regions: Remote Sensing, Terrain, or Climate Factors? by Liping Wang, Huanjun Liu, Xiang Wang, Xiaofeng Xu, Liyuan He, Chong Luo, Yong Li, Xinle Zhang, Deqiang Zang, Shufeng Zheng, Xiaodan Mei

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Supporting Radiologists with Automated Image Analysis: An Evaluation of Deep Learning Tools for Augmenting Breast Cancer Screening by Imene Bouharati, Khaoula Bouharati

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AICpred: Machine Learning-Based Prediction of Potential Anti-Inflammatory Compounds Targeting TLR4-MyD88 Binding Mechanism by Lucindah N. Fry-Nartey, Cyril Akafia, Ursula S. Nkonu, Spencer B. Baiden, Ignatus Nunana Dorvi, Kwasi Agyenkwa-Mawuli, Odame Agyapong, Claude Fiifi Hayford, Michael D. Wilson, Whelton A. Miller, Samuel K. Kwofie

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REDUCTION OF ENERGY RESOURCES EXPORT DELIVERIES: THREAT ASSESSMENT by VLADIMIR YURIEVICH Malov, BORIS VICTOROVICH Melentiev, OLGA VLADISLAVOVNA Tarasova

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Two-Step Transfer Learning Improves Deep Learning–Based Drug Response Prediction in Small Datasets: A Case Study of Glioblastoma by Jie Ju, Ioannis Ntafoulis, Michelle Klein, Marcel JT Reinders, Martine Lamfers, Andrew P Stubbs, Yunlei Li

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18F-FDG PET/CT SUVmax in pleuropulmonary solitary fibrous tumors: can it be incorporated into risk classification systems for predicting recurrence? by İlteriş Türk, Mehmet Çetin, Necati Solak, Ali Can Kayaaslan, Nesrin Gürçay, Ebru Tatcı, Göktürk Fındık, Pınar Bıçakçıoğlu, Selim Şakir Erkmen Gülhan

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Global, regional, and national temporal trends in mortality and disease burden of nasopharyngeal carcinoma attributable to smoking from 1990 to 2021 and predictions to 2040 by Defeng Liu, Lulu Zhuang, Yueze Li, Jinming Yu, Minghuan Li

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DeepRice6mA: A convolutional neural network approach for 6mA site prediction in the rice Genome. by Hussam Alsharif

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Advancing knee adduction moment prediction for neuromuscular training via functional joint definitions and real-time simulation using OpenSim. by Fabian Goell, Bjoern Braunstein, Maike Stemmler, Alessandro Fasse, Dirk Abel, Kirsten Albracht

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Life prediction of the tensile damage progress for high-speed train gearbox shell based on acoustic emission sensor and an automatic optimization method by Yibo Ai, Chang Sun, Weidong Zhang

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Application of an Electronic Nose to the Prediction of Odorant Series in Wines Obtained with <i>Saccharomyces</i> or Non-<i>Saccharomyces</i> Yeast Strains by Raquel Muñoz-Castells, Margherita Modesti, Jaime Moreno-García, Alexandro Catini, Rosamaria Capuano, Corrado Di Natale, Andrea Bellincontro, Juan Moreno

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A Study on Tool Breakage Detection Technology Based on Current Sensing and Non-Contact Signal Analysis by Chia-Hung Lai, Sih-Hao Huang, Ting-En Wu, Chia-Chun Lai

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Q4MRATools: Quantitative tools to microbial risk assessment by Olga María Bonilla Luque, Antonio Valero, Arícia Possas, Styliani Roufou, Jefferson deOliveira Mallia, Vasilis Valdramidis

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Approaches to predict ligands affinity towards translocator protein TSPO 18 kDa in order to create molecules possessing neuropsychotropic activity by N. M. Baraboshkin, A. S. Pantileev, G. V. Mokrov

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In-Silico Approaches for Molecular Characterization, Structural Function Prediction and Peptide Toxicity Analysis of the Matrix Protein of Vesicular stomatitis Indiana Virus (VSIV) by S Ramya, R Shri Varshini, Sri R Poojaa, Prabhu Puniethaa

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A physical geography approach to predict vineyard occurrence using statistical methods in the Taurasi DOCG Terroir (Avellino Province, southern Italy) by Angelo Cusano, Francesco Carrer, Filippo Russo

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