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Xiaojuan Lv

Biographic Data

ID7870754
NAMEXiaojuan Lv
GIVEN NAMESXiaojuan
FAMILY NAMELv
SIGNATURELV X
AFFILIATIONSPeople's Hospital of Cangzhou
ORCID0009-0007-7294-2338
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Multiscale Social Network Information Propagation Prediction Model Integrating Graph Attention Networks and Hypergraph Neural Networks

    Open Access•Jinghua Zhao, Yajie Huang et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Information diffusion prediction is a fundamental yet challenging task in social networks. Existing approaches typically focus on either microscopic or macroscopic prediction, but few effectively integrate both perspectives. Moreover, current models often overlook the dynamic nature of cascades and struggle to capture both diffusion patterns simultaneously. This article addresses this limitation by proposing a novel multiscale information diffusi…

  • A study on the distribution of interleukin-10 gene polymorphisms and their association with febrile seizure susceptibility in children from the Wenzhou region, Zhejiang Province

    Open Access•Liqiang Lu, Heng Huang et al.•ARTICLE•Frontiers in Public Health•2025

    Background Febrile seizures (FS) were the most common seizure disorder in young children, with a notable prevalence in the Zhejiang Province region of China. The pathogenesis of FS involves both genetic and environmental factors, particularly the role of cytokines like Interleukin-10 (IL-10), an anti-inflammatory agent. This study examines the distribution of IL-10 gene polymorphisms and their association with FS susceptibility in children from W…

  • The Interaction between Ambient PM10 and NO2 on Mortality in Guangzhou, China

    Open Access•Yuzhou Gu, Hualiang Lin et al.•ARTICLE•International Journal of…•2017

    Air pollution is now a significant environmental issue in China. To better understand the health impacts of ambient air pollution, this study investigated the potential interaction between PM 10 and NO2 on mortality in Guangzhou, China. Time series data of daily non-accidental mortality and concentrations of PM 10 and NO2 from 2006 to 2010 were collected. Based on generalized additive model, we developed two models (bivariate model and stratified…

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  • The Interaction between Ambient PM10 and NO2 on Mortality in Guangzhou, China

    Open Access•Yuzhou Gu, Hualiang Lin et al.•ARTICLE•International Journal of…•2017

    Air pollution is now a significant environmental issue in China. To better understand the health impacts of ambient air pollution, this study investigated the potential interaction between PM 10 and NO2 on mortality in Guangzhou, China. Time series data of daily non-accidental mortality and concentrations of PM 10 and NO2 from 2006 to 2010 were collected. Based on generalized additive model, we developed two models (bivariate model and stratified…

  • A study on the distribution of interleukin-10 gene polymorphisms and their association with febrile seizure susceptibility in children from the Wenzhou region, Zhejiang Province

    Open Access•Liqiang Lu, Heng Huang et al.•ARTICLE•Frontiers in Public Health•2025

    Background Febrile seizures (FS) were the most common seizure disorder in young children, with a notable prevalence in the Zhejiang Province region of China. The pathogenesis of FS involves both genetic and environmental factors, particularly the role of cytokines like Interleukin-10 (IL-10), an anti-inflammatory agent. This study examines the distribution of IL-10 gene polymorphisms and their association with FS susceptibility in children from W…

  • Multiscale Social Network Information Propagation Prediction Model Integrating Graph Attention Networks and Hypergraph Neural Networks

    Open Access•Jinghua Zhao, Yajie Huang et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Information diffusion prediction is a fundamental yet challenging task in social networks. Existing approaches typically focus on either microscopic or macroscopic prediction, but few effectively integrate both perspectives. Moreover, current models often overlook the dynamic nature of cascades and struggle to capture both diffusion patterns simultaneously. This article addresses this limitation by proposing a novel multiscale information diffusi…

Biology (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Accidental (1 work) · Advanced Graph Neural Networks (1 work) · Air pollutants (1 work) · Air pollution (1 work) · Air Quality and Health Impacts (1 work) · Artificial neural network (1 work) · Bivariate analysis (1 work)

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