Xinying Yu
Biographic Data
| ID | 9638717 |
|---|---|
| NAME | Xinying Yu |
| GIVEN NAMES | Xinying |
| FAMILY NAME | Yu |
| SIGNATURE | YU X |
| AFFILIATIONS | Royal Holloway University of London |
| ORCID | 0000-0002-5569-9360 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Rapid diagnosis of Helicobacter pylori infection status based on endoscopic features and deep learning algorithms
Background and aims: (HP) infection status is highly important for helping endoscopists quickly understand the status of gastric background mucosa and assisting in subsequent diagnosis and treatment. In this study, a deep learning algorithm was designed to construct a three-class classification model of HP infection status, providing a new approach to address the subjectivity in the interpretation of endoscopic features. Methods: The clinical dat…
Job security, perfectionism, and work task performance during the Covid-19 pandemic
How do remote workers perform during Covid-19 lockdowns? Examining professional isolation, cynicism and psychological hardiness
Purpose With the spread of COVID-19, governments have initiated lockdown procedures and forced organizations to switch to remote working. Employees working remotely in isolated and confined situations are experiencing great stress and uncertainty. This study aims to investigate how remote workers perform during lockdowns. Design/methodology/approach Drawing on social information processing theory, this study developed and tested hypotheses linkin…
Association Between Passive Smoking and Menstrual Discomfort
Introduction: Menstrual discomfort affects women's quality of life, which is an important public health issue. Evidence confirming the link between passive smoking and menstrual discomfort is limited. Therefore, the aim of this study is to investigate the aforementioned topic on the basis of a cross-sectional study of 2,571 non-smoking Chinese nurses. Methods: Demographic information and passive smoking were assessed using a self-administered que…
Association Between Passive Smoking and Health Among Chinese Nurses
This study aimed to investigate the association between passive smoking and physical and psychological health in Chinese nurses. Participants of this cross-sectional study comprised 2,484 non-smoking nurses. Passive smoking and demographic information were assessed using a self-administered questionnaire. Physical, psychological, and overall health status of nurses were measured using the Cornell Medical Index (CMI) health questionnaire. Multivar…
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Association Between Passive Smoking and Health Among Chinese Nurses
This study aimed to investigate the association between passive smoking and physical and psychological health in Chinese nurses. Participants of this cross-sectional study comprised 2,484 non-smoking nurses. Passive smoking and demographic information were assessed using a self-administered questionnaire. Physical, psychological, and overall health status of nurses were measured using the Cornell Medical Index (CMI) health questionnaire. Multivar…
Association Between Passive Smoking and Menstrual Discomfort
Introduction: Menstrual discomfort affects women's quality of life, which is an important public health issue. Evidence confirming the link between passive smoking and menstrual discomfort is limited. Therefore, the aim of this study is to investigate the aforementioned topic on the basis of a cross-sectional study of 2,571 non-smoking Chinese nurses. Methods: Demographic information and passive smoking were assessed using a self-administered que…
How do remote workers perform during Covid-19 lockdowns? Examining professional isolation, cynicism and psychological hardiness
Purpose With the spread of COVID-19, governments have initiated lockdown procedures and forced organizations to switch to remote working. Employees working remotely in isolated and confined situations are experiencing great stress and uncertainty. This study aims to investigate how remote workers perform during lockdowns. Design/methodology/approach Drawing on social information processing theory, this study developed and tested hypotheses linkin…
Job security, perfectionism, and work task performance during the Covid-19 pandemic
Rapid diagnosis of Helicobacter pylori infection status based on endoscopic features and deep learning algorithms
Background and aims: (HP) infection status is highly important for helping endoscopists quickly understand the status of gastric background mucosa and assisting in subsequent diagnosis and treatment. In this study, a deep learning algorithm was designed to construct a three-class classification model of HP infection status, providing a new approach to address the subjectivity in the interpretation of endoscopic features. Methods: The clinical dat…
Medicine (3 works) · Applied Psychology (2 works) · Confidence interval (2 works) · Cross-sectional study (2 works) · Environmental health (2 works) · Internal Medicine (2 works) · Job Satisfaction and Organizational Behavior (2 works) · Logistic regression (2 works) · Management (2 works) · Odds ratio (2 works)