A5102616797- Intensive Care Unit Cognitive Disorders
- Metalloenzymes and iron-sulfur proteins
- Family and Patient Care in Intensive Care Units
- Studies on Chitinases and Chitosanases
- Mycobacterium research and diagnosis
- Advanced Technologies in Various Fields
- Redox biology and oxidative stress
- Sleep and related disorders
- Surface Modification and Superhydrophobicity
- Health disparities and outcomes
- Pneumonia and Respiratory Infections
- Psychological Well-being and Life Satisfaction
- Geriatric Care and Nursing Homes
- Electrohydrodynamics and Fluid Dynamics
- Cardiac Health and Mental Health
- Enzyme Structure and Function
- Trace Elements in Health
- Membrane Separation Technologies
- Financial Literacy, Pension, Retirement Analysis
- Traffic Prediction and Management Techniques
- E-commerce and Technology Innovations
- Cardiovascular Disease and Adiposity
- Tuberculosis Research and Epidemiology
Nantong University
2024-2025
Xinqiao Hospital
2025
Center for Innovation
2025
Zhongyuan University of Technology
2025
Second Affiliated Hospital of Nanchang University
2024
Nanchang University
2023-2024
Abstract Background Early diagnosis of pulmonary tuberculosis can greatly reduce the harm caused by disease. However, traditional diagnostic methods have various shortcomings in diagnosing tuberculosis. Currently, with increasing popularity, iteration, and decreasing costs Next-generation sequencing (NGS) testing technology, NGS is being more widely applied Case presentation A 29-year-old male presented “fever accompanied cough for than 20 days.” Multiple chest CT scans revealed progressive...
Abstract Background Sleep disturbance is one of the clinical manifestations post‐intensive care syndrome (PICS) in ICU. disorders can cause changes patients' emotional, cognitive, memory, immune, and motor systems, resulting delayed wound healing, increased infection rate, readmission mortality rate complication rate. However, developing prediction models for sleep post‐ICU patients an understudied problem. Aim To explore risk factors disorders, establish model, verify its efficiency...
Abstract This paper proposes a deep learning method for face recognition in the self-service customs clearance system at border crossings and designs encoder feature mining module framework. Meanwhile, loss function is constructed by combining L1 KL scatter. The technology based on model used to construct crossing system, research analysis are conducted from two aspects, namely, test of application situation. number outbound self-clearance acceptors has increased 2957931, able provide more...
Depression is closely linked to cardiovascular health (CVH). However, established CVH judgmental indicators have many limitations. We examined the relationship between most recent score, Life's Essential 8 (LE8), and depression using National Health Nutrition Examination Survey (NHANES) data from 2005-2018. In multivariate logistic regression analysis, it was observed that there a detrimental correlation LE8 score likelihood of experiencing depression, indicating existence non-linear dosage...