Integrating Temperature History into Inherent Strain Methodology for Improved Distortion Prediction in Laser Powder Bed Fusion by Iñaki Setien, Michele Chiumenti, Maria San Sebastian, Carlos A. Moreira, Manuel A. Caicedo

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A predictive framework for identifying source populations of non-native marine macroalgae: Chondria tumulosa in the Pacific Ocean by James T. Fumo, Patrick K. Nichols, Taylor Ely, Peter B. Marko, Amy L. Moran, Brian S. Powell, Taylor M. Williams, Randall K. Kosaki, Celia M. Smith, Keolohilani H. Lopes Jr., Jennifer E. Smith, Heather L. Spalding, Stacy A. Krueger-Hadfield, Karla J. McDermid, Brian B. Hauk, James Morioka, Kevin O’Brien, Barbara Kennedy, Frederik Leliaert, Mutue T. Fujii, Wendy A. Nelson, Stefano G. A. Draisma, Alison R. Sherwood

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Establishment and validation of a predictive nomogram for preoperative deep vein thrombosis in elderly patients with isolated femoral neck fracture by Tianyu Wang, Hongyuan Yin, Chengsi Li, Changhui Li, Dongwei Wu, Zhenbang Yang, Xuebin Zhang, Yingze Zhang, Yanbin Zhu

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Development and validation of a predictive nomogram for surgical site infection among general surgery patients in Amhara region Ethiopia by Kebadnew Mulatu Mihretie, Meron Alemayehu Asmamaw, Zelalem Alamrew Anteneh

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Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors by Deepak T Patel, Peter J Stogios, Lukasz Jaroszewski, Malene L Urbanus, Mayya Sedova, Cameron Semper, Cathy Le, Abraham Takkouche, Keita Ichii, Julie Innabi, Dhruvin H Patel, Alexander W Ensminger, Adam Godzik, Alexei Savchenko

“…By leveraging advancements in 3D protein structure prediction, we provide a comprehensive structural analysis of 368 L. pneumophila effectors, representing a global atlas of predicted functional domains summarized in a database ( https://pathogens3d.org/legionella-pneumophila ). …”
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Sensitivity Analysis of Soil Hydraulic Parameters for Improved Flow Predictions in an Atlantic Forest Watershed Using the MOHID-Land Platform by Dhiego da Silva Sales, Jader Lugon Junior, David de Andrade Costa, Renata Silva Barreto Sales, Ramiro Joaquim Neves, Antonio José da Silva Neto

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The Influence of Laminarizers on the Turbulent Boundary Layer and Prediction of Effective Flow Conditions around Surfaces by Chukalin A.V., Kovalnogov V.N., Sherkunov V.V., Savelov O.V.

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Accurate Prediction of Compression Index of Normally Consolidated Soils Using Artificial Neural Networks by Ali Ulvi Uzer

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Investigating the Impact of Climate Change on the Effective Indicators in Desertification and Predicting its Spatial Changes by Azam Sadat Hosseini Khezr Abad, Abassali Vali, Amirhossein Halabian, Mohammad Hossein Mokhtari, Seyyed Ali Mousavi

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DNA methylation expression patterns predict outcome of clear cell renal cell carcinoma by Xuwen Li, Haoxi Wang, Yajian Li, Yihao Zhu, Yabo Zhai, Nianzeng Xing, Xiongjun Ye, Feiya Yang

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Prediction of Monochorionic Diamniotic Twin Pregnancy Outcomes Based on Early Second Trimester Ultrasound by Slavica Aksam, Jelena Dotlic, Dusica Kocijancic Belovic, Mirjana Marjanovic Cvjeticanin, Ivana Vukovic, Milena Mitrovic, Ivana Babovic, Srboljub Milicevic, Snezana Plesinac, Snezana Buzadzic

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Prediction and mapping of leaf water content in Populus alba var. pyramidalis using hyperspectral imagery by Zhao-Kui Li, Hong-Li Li, Xue-Wei Gong, Heng-Fang Wang, Guang-You Hao

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Tool for acute kidney injury prediction in hospitalised patients with COVID-19 by O.Ya. Antonyuk

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Establishing the Partial Load Limits for Main Shaft Response Prediction in Wind Turbine Hybrid Nacelle Testing by Muhammad Omer Siddiqui, Amir R. Nejad, Jan Wenske

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DBN-MACTraj: Dynamic Bayesian Networks for Predicting Combinations of Long-Term Trajectories with Likelihood for Multiple Agents by Haonan Cui, Haolun Qi, Jianyu Zhou

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Predicting Equatorial Spread F at JICAMARCA Sector Via Supervised Machine Learning by Shunzu Gao, Chao Xiong, Hongtao Cai, Qian Pan, Weijia Zhan, Hong Zhang, Yuhao Zheng

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Nomogram-based prediction of the prognosis in patients with free floating venous thrombus after closed traumatic fracture by Yao Wei, Changxu Guo, Xiaoyu Chen, Yu Yuan

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Prediction of successful weaning from renal replacement therapy in critically ill patients based on machine learning by Qiqiang Liang, Xin Xu, Shuo Ding, Jin Wu, Man Huang

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Development and validation of a nomogram to predict survival in septic patients with heart failure in the intensive care unit by Tong Tong, Yikun Guo, Qingqing Wang, Xiaoning Sun, Ziyi Sun, Yuhan Yang, Xiaoxiao Zhang, Kuiwu Yao

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Development and validation of a nomogram to predict atelectasis in adult lymph node fistula tracheobronchial tuberculosis patients by Quhua Yin, Guojian Ou, Yi Zhou, Xiaojian Wen, Heping Huang, Jie Ling, Li Luo

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