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Xiaoying Chen on Muck Rack

Xiaoying Chen

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Articles

A tNGS-based comparative study on clinical features and co-detection profiles of hospitalized children with influenza A and B viruses

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By Chunyun Fu, Qiang Huang, Xiaoying Chen, Haifeng Huang, Jia Lu, Jiaqi Wen, Wenting Tang, Jiangyang Zhao, Yili Zhang, Xiangjun Lu, Yanhua Feng, Yanqing Tang, Shang Yi, Hao Wei, Huiping Huang, Xuehua Hu, Jie Tan, Junming Lu, Lishai Mo
| Frontiers
Abstract Objectives: This study aimed to characterize the clinical and epidemiological features of hospitalized children with IBV and compare them with those of influenza A virus (IAV). Methods: We enrolled 10,143 pediatric inpatients with ARI between April 2021 and December 2024. Pathogen screening was conducted using targeted next-generation sequencing. Multivariable logistic regression was performed to identify independent predictors for respiratory support requirements.
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Development and validation of a predictive model for chronic or persistent immune thrombocytopenia in children incorporating anti-glycoprotein IIb antibody: a retrospective cohort study utilizing LASSO regression and bootstrap stability analysis

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By Lei Ying, Xiaoying Chen, Zhiqiang Liu, Wei Huang, Ximei Yang, Xianghui Wan, Jiangwei Ke
| Frontiers
Abstract Background: Pediatric immune thrombocytopenia (ITP) is an autoimmune condition involving platelet destruction. While most cases resolve spontaneously, 20%–30% progress to chronic disease (cITP), necessitating early risk prediction. Current prognostic models for childhood ITP lack platelet-specific immunological markers. This study aimed to develop and validate a predictive model for chronic/persistent ITP(c/pITP) integrating clinical factors and anti-platelet glycoprotein antibodies.
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Estimation of battery SOC using a combined approach of temporal convolutional networks and Unscented Kalman Filter

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By Huipin Lin, Hangzhou Dianzi, Xiaoying Chen
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Lin H, Chen X, Zhang L, Bao Z, Tang S (2026) Estimation of battery SOC using a combined approach of temporal convolutional networks and Unscented Kalman Filter. PLoS One 21(6): e0350331. https://doi.org/10.1371/journal.pone.0350331 Editor: Zixiang Gao, UC: University of Calgary, CANADA Received: December 26, 2025; Accepted: May 12, 2026; Published: June 4, 2026 Copyright: © 2026 Lin et al.
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