4 Works

Effect of ocular magnification on macular choroidal thickness measurements made using optical coherence tomography in children

Junjie Deng, Jiali Jin, Bo Zhang, Siqi Zhang, Jingjing Wang, Shuyu Xiong, Tianyu Cheng, Kun Liu, Jiannan Huang, Xiangui He & Xun Xu
To evaluate the relationship between ocular magnification correction and macular choroidal thickness (ChT) measurements in children, and to demonstrate when ocular magnification correction is necessary. Chinese children aged 6–9 years with various refractive statuses were included. Swept-source optical coherence tomography was used to measure macular ChT. A self-designed program was adopted to simulate ChT changes in each sector of the ETDRS grid in the macula under various simulated axial lengths (ALs). ChT measurements were not...

Profile of clinical characteristics and serologic markers of sporadic hepatitis E in a community cohort study

Zi-Min Tang, Gui-Ping Wen, Dong Ying, Si-Ling Wang, Chang Liu, Wei-Kun Tian, Ying-Bin Wang, Mu-Jin Fang, Yu-Lin Zhou, Yun-Sheng Ge, Ting Wu, Jun Zhang, Shou-Jie Huang, Zi-Zheng Zheng & Ning-Shao Xia
Hepatitis E virus (HEV) is a pathogen of global significance, but the value of HEV-related markers in the diagnosis of hepatitis E remains controversial. Previous studies on hepatitis E profiles have been mainly cross-sectional and conducted among inpatients in large hospitals, and hepatitis E cases have been primarily defined by limited partial markers. In this community-based study, 4,110 active hepatitis cases from a population of nearly 600,000 were followed over 48 months and serial serum...

Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams

Xin Zan, Di Wang & Xiaochen Xian
The age of Internet of Things (IoT) has witnessed the rapid development of modern data acquisition devices and communicating-actuating networks, which enables the generation of big data streams shared across platforms for remote and efficient decision making of many critical systems. The monitoring of big data streams remains a challenging task in various practical applications mainly due to their complexity in interrelationships, large volume, and high velocity, which places prohibitive demands on monitoring methodologies and...

Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams

Xin Zan, Di Wang & Xiaochen Xian
The age of Internet of Things (IoT) has witnessed the rapid development of modern data acquisition devices and communicating-actuating networks, which enables the generation of big data streams shared across platforms for remote and efficient decision making of many critical systems. The monitoring of big data streams remains a challenging task in various practical applications mainly due to their complexity in interrelationships, large volume, and high velocity, which places prohibitive demands on monitoring methodologies and...

Registration Year

  • 2022
    4

Resource Types

  • Other
    4

Affiliations

  • West China Hospital of Sichuan University
    3
  • Huazhong University of Science and Technology
    3
  • Chengdu University of Traditional Chinese Medicine
    3
  • Nanjing University
    3
  • Zhejiang University
    2
  • Google (United States)
    2
  • Sichuan University
    2
  • Fudan University
    2
  • Xi'an Jiaotong University
    2
  • Tianjin University of Science and Technology
    2