Shuanghong Lin

ORCID: 0000-0002-3667-9196
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About
Contact & Profiles
Research Areas
  • Job Satisfaction and Organizational Behavior
  • COVID-19 and Mental Health
  • Healthcare professionals’ stress and burnout
  • Enhanced Recovery After Surgery
  • Ultrasound and Hyperthermia Applications
  • Optical Imaging and Spectroscopy Techniques

Jianghan University
2020-2022

Objectives High levels of organisational citizenship behaviour can enable nurses to cooperate with coworkers effectively provide a high quality nursing care during the outbreak COVID-19. However, association between autonomy, optimism, work engagement and remains largely unexplored. This study aimed test if effect autonomy on through mediating effects optimism engagement. Study design was cross-sectional study. Setting The conducted in Wuhan Jinyintan Hospital China. Participants In total,...

10.1136/bmjopen-2020-039711 article EN cc-by-nc-nd BMJ Open 2020-09-01

Little is known about the associated factors with organizational citizenship behavior among Chinese nurses combating COVID-19. The aim of present study was to investigate relationships between autonomy, optimism, role conflict, work engagement, and based on moderated mediation models COVID-19.This cross-sectional performed a sample 368 supporting COVID-19 epidemic in Wuhan Leishenshan Hospital, China. According Job Demands-Resources model, two were tested, which autonomy/optimism through...

10.2147/rmhp.s292436 article EN cc-by-nc Risk Management and Healthcare Policy 2021-03-01

This study was aimed at exploring the application value of ultrasonic imaging-guided laparoscopic ovarian cystectomy after denoising by intelligent algorithms in perioperative nursing intervention patients. In this study, convolutional downsampling introduced to UNet model, based on which residual structure and Recon module were added improve applied 100 patients who underwent ultrasound cystectomy. The grouped into a control group receiving conventional an experimental management. various...

10.1155/2022/7193005 article EN Computational and Mathematical Methods in Medicine 2022-05-04
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