A nomogram predicting the risk of postoperative pneumonia after esophagectomy in esophageal carcinoma by Binlie Chen, Weiqi Ke, Meizhen Li

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A nomogram to predict cancer-specific survival of ocular melanoma by Ruisheng Huang, Jian Chen, Limin Lin, Jun Lyu, Qing Zhou

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A Review of Artificial Intelligence Applications in Predicting Faults in Electrical Machines by Mathew Habyarimana, Abayomi A. Adebiyi

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The probability of allogeneic blood transfusion and its influencing factors in patients undergoing total knee arthroplasty: A retrospective cohort study by Mehran Mannani, Atefeh Vaezi, Mehdi Motififard, Amin Nemati

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Development and validation of a nomogram for predicting intracranial infection after intracranial aneurysm surgery by Yongqiang Yang, Yanli Tang, Youwen Gong

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Investigation of Relationships Between Laboratory Tests and Seedling Emergence of Canola (Brassica napus L.) Cultivars in Field Condition by M. Jamali, Y. Sadeh, R. Tavakkol Afshari, A. Asadi

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Predictive value of the serum procalcitonin level for fulminant virus-associated encephalopathy by Lilin Huang, Xiaole Yang, Jing Li, Shumei Peng

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PREDICT OF THE SMALL SIZE OBJECT POSITION ON THE VIDEO STREAM FRAMES FROM THE BOARD OF UNMANNED AERIAL VEHICLE by I. A. Baryskievic

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Research on postural behavior and structural response prediction of scraper conveyor based on digital twin by Qiang ZHANG, Wei LIU, Yang WANG, Shouxiang MA, Jinpeng SU, Runxin ZHANG

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The concordance of treatment decision guided by OncotypeDX and the PREDICT tool in real‐world early‐stage breast cancer by Daniel A. Goldstein, Chen Mayer, Tzippy Shochat, Daniel Reinhorn, Assaf Moore, Michal Sarfaty, Rinat Yerushalmi, Hadar Goldvaser

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Predict+Optimize Problem in Renewable Energy Scheduling by Christoph Bergmeir, Frits de Nijs, Evgenii Genov, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Perez, Julian Ruddick, Akylas Stratigakos, Peter Stuckey, Guido Tack, Isaac Triguero, Rui Yuan

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Predicting Weaning Weight of Romanov Lambs From Biometric Measurements Before Weaning Age Using Machine Learning Algorithms by Mehmet Eroğlu, Ali Osman Turgut, Mürsel Küçük, Muhammed Furkan Önen

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DEVELOPMENT OF PREDICT-OBSERVE-EXPLAIN (POE) BASED AUTHENTIC PROBLEMS’ INSTRUCTIONAL PACKAGE TO IMPROVE STUDENTS’ CRITICAL THINKING SKILLS by Aulia Fauzan Noor, Rahmat Yunus, Suyidno Suyidno, Fahmi Fahmi

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An integrative model with HLA‐DR, CD64, and PD‐1 for the diagnostic and prognostic evaluation of sepsis by Guosheng Chen, Huimin Chong, Peng Zhang, Dalin Wen, Juan Du, Chu Gao, Shi Zeng, Ling Zeng, Jin Deng, Kejun Zhang, Anqiang Zhang

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Clinical Value of Renal Function Markers Combined with Blood Lipid Levels during Late Pregnancy to Predict Preeclampsia: A Retrospective Case-Control Study by Jindi Zhang, Pei Wang, Jie Liu

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A machine learning model for robust prediction of sepsis-induced coagulopathy in critically ill patients with sepsis by Jia Sun, Jia Sun, Lixin Zhang, Zhaotang Gong, Hongling Ma, Dan Wu, Rihan Wu, Guleng Siri, Guleng Siri

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Predicting the distribution and abundance of bustards, storks, and harriers in Kenya using citizen science data by Frank Juma Ong’ondo, Frank Juma Ong’ondo, Rosie Trevelyan, Anthony Kuria, Peter Njoroge, Samuel Guchu, Colin Jackson

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Damage Mechanism Analysis and Preventive Measures of the Stalled Permanent Magnet Synchronous Motor in Electric Vehicle by CHEN Huimin

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Association of admission blood glucose and postoperation fast blood glucose with futile recanalization in patients with endovascular therapy by Dandan Chen, Yunqing Chen, Linghong Guo, Zubing Xu, Xian Liu, Xilin Xiong, Hudie Zhang, Yan Gong, Qiulong Yu, Chenying Zeng, Lanjiao Zhang, Qin Huang, Jinchong Zhang, Keji Zou, Xiaobing Li, Daojun Hong, Pu Fang, Jing Lin

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Development and Cross-Institutional Validation of a Comprehensive Machine Learning Model Predicting Response to Neoadjuvant Therapy for Rectal Cancer by Li S, Li Z, Li S, Jiang P, Han H, Zhang Y, Lu Y

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