Liling Zhu
Datos Biográficos
| ID | 6588872 |
|---|---|
| NOMBRE | Liling Zhu |
| NOMBRES | Liling |
| APELLIDO | Zhu |
| FIRMA | ZHU L |
| AFILIACIONES | Jockey Club School of Public Health and Primary Care Chinese University of Hong Kong Shatin Hong Kong |
| VERIFICADO | No |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2023 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Analysis of Supervised and Eye Behaviors Among Students
BACKGROUND: Childhood myopia is a global health concern, with high prevalence in East Asia. Risky eye behaviors fuel myopia, but how combined parental and teacher supervision affects these behaviors remains poorly understood. METHODS: This cross-sectional study surveyed 5193 participants in 8 schools. Indicator variables of parent-teacher supervision were divided into three levels. Student eye behaviors were defined as myopia-risk behaviors. K-me…
Innovation-driven cities
Machine learning to analyze the factors influencing myopia in students of different school periods
Purpose: We aim to develop myopia classification models based on machine learning algorithms for each schooling period, and further analyze the similarities and differences in the factors influencing myopia in each school period based on each model. Design: Retrospective cross-sectional study. Participants: We collected visual acuity, behavioral, environmental, and genetic data from 7,472 students in 21 primary and secondary schools (grades 1-12)…
Doing “gendered exit”
Previous research into the exclusion of disabled persons from paid work tends to compartmentalize them into a stable and undifferentiated category of “cared‐for” subjects. This fixation implicitly approves the ethics of work as the exclusive source of their dignity and citizenship. Drawing on in‐depth interviews with Myasthenia Gravis patients and their families, this paper argues that a subscription to the logic of interdependence that organizes…
Sin obras prominentes en esta página.
Machine learning to analyze the factors influencing myopia in students of different school periods
Purpose: We aim to develop myopia classification models based on machine learning algorithms for each schooling period, and further analyze the similarities and differences in the factors influencing myopia in each school period based on each model. Design: Retrospective cross-sectional study. Participants: We collected visual acuity, behavioral, environmental, and genetic data from 7,472 students in 21 primary and secondary schools (grades 1-12)…
Doing “gendered exit”
Previous research into the exclusion of disabled persons from paid work tends to compartmentalize them into a stable and undifferentiated category of “cared‐for” subjects. This fixation implicitly approves the ethics of work as the exclusive source of their dignity and citizenship. Drawing on in‐depth interviews with Myasthenia Gravis patients and their families, this paper argues that a subscription to the logic of interdependence that organizes…
Innovation-driven cities
Analysis of Supervised and Eye Behaviors Among Students
BACKGROUND: Childhood myopia is a global health concern, with high prevalence in East Asia. Risky eye behaviors fuel myopia, but how combined parental and teacher supervision affects these behaviors remains poorly understood. METHODS: This cross-sectional study surveyed 5193 participants in 8 schools. Indicator variables of parent-teacher supervision were divided into three levels. Student eye behaviors were defined as myopia-risk behaviors. K-me…
Psychology (3 obras) · Medicine (2 obras) · Ophthalmology and Visual Impairment Studies (2 obras) · Agency (philosophy (1 obras) · Applied Psychology (1 obras) · Biology (1 obras) · Business (1 obras) · Care work (1 obras) · Citizenship (1 obras) · Climate Change Policy and Economics (1 obras)