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Predicting Missing Links Based on a New Triangle Structure
Published 2018-01-01Get full text
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The Strong Local Diagnosability of a Hypercube Network with Missing Edges
Published 2018-01-01Get full text
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Robust sparse time‐frequency analysis for data missing scenarios
Published 2023-01-01Get full text
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Modified Weights-of-Evidence Modeling with Example of Missing Geochemical Data
Published 2018-01-01Get full text
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Aortic Periannular Abscess Missed by Transthoracic Echocardiography: A Case Report
Published 2025-01-01Get full text
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Event-Based H∞ Filter Design for Sensor Networks with Missing Measurements
Published 2014-01-01Get full text
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Mean Empirical Likelihood Inference for Response Mean with Data Missing at Random
Published 2020-01-01Get full text
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An Imputation Method for Missing Traffic Data Based on FCM Optimized by PSO-SVR
Published 2018-01-01Get full text
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State Estimation for Time-Delay Systems with Markov Jump Parameters and Missing Measurements
Published 2014-01-01Get full text
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Optimal State Estimation for Discrete-Time Markov Jump Systems with Missing Observations
Published 2014-01-01Get full text
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Tunnel squeezing prediction based on partially missing dataset and optimized machine learning models
Published 2025-01-01Get full text
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Systematic Risk Analysis and Mitigation Strategies for Near-Miss Events in Interventional Operating Room Nursing
Published 2025-01-01“…Ling-Yu Ma,1 Rong-Fang Shan,1 Yong Lu,1 Lu-Yi Cong,1 Hai-Yan Gu2 1Department of Operating Room, Affiliated Hospital 2 of Nantong University, Nantong, 226001, People’s Republic of China; 2Department of Nursing, Affiliated Hospital 2 of Nantong University, Nantong, 226001, People’s Republic of ChinaCorrespondence: Hai-Yan Gu, Department of Nursing, Affiliated Hospital 2 of Nantong University, No. 666 Shengli Road, Chongchuan District, Nantong, 226001, People’s Republic of China, Tel +86 13862938568, Email guhaiyan_ghy01@126.comPurpose: The aim of this study is to examine the characteristics of intraoperative nursing near-miss events in interventional operating rooms, systematically identify and analyze associated risks, and propose effective mitigation strategies.Patients and Methods: A retrospective study was conducted using a specially designed survey focused on nursing near-miss events in Interventional operating rooms. …”
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Overcoming Missing Data: Accurately Predicting Cardiovascular Risk in Type 2 Diabetes, A Systematic Review
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