- COVID-19 epidemiological studies
- Mathematical and Theoretical Epidemiology and Ecology Models
- Thermoelastic and Magnetoelastic Phenomena
- Image and Signal Denoising Methods
- Complex Network Analysis Techniques
- Statistical Methods and Inference
- Opinion Dynamics and Social Influence
- Gaussian Processes and Bayesian Inference
- Grey System Theory Applications
- Fractional Differential Equations Solutions
- ECG Monitoring and Analysis
- Model Reduction and Neural Networks
- Advanced Image Processing Techniques
- EEG and Brain-Computer Interfaces
- Elasticity and Material Modeling
- Phonocardiography and Auscultation Techniques
- Resilience and Mental Health
- Immune responses and vaccinations
- Composite Structure Analysis and Optimization
- SARS-CoV-2 and COVID-19 Research
- COVID-19 diagnosis using AI
- Advanced X-ray and CT Imaging
- Mental Health Research Topics
- Misinformation and Its Impacts
- Numerical methods in engineering
Wannan Medical College
2025
Jiangnan University
2021-2025
Zhejiang Sci-Tech University
2016-2025
Lehigh University
2016-2024
Chongqing Jiaotong University
2023-2024
University of Shanghai for Science and Technology
2023
Sugary snacks are prevalent in children's daily lives and may impact their diet positively or negatively, yet few studies explore perceptions attitudes of these foods from experiences China. This study aims to (i) assess sugary (ii) compare two child-centered elicitation techniques-Repertory Grid Technique (RGT) Generative Method (GM)-based on Personal Construct Theory (PCT). A qualitative was conducted with 31 children (6-10 years old) Hangzhou Fuzhou, Children participated RGT (dichotomous...
Based on the SEIR model, which takes into account prevention and control measures, awareness, economic level medical indicators, this paper proposes an infectious disease model of “susceptible‐exposed‐infected‐removed‐asymptomatic‐isolated” (short for SEIR‐AQ) to assess predict development COVID‐19 pandemic with different strategies. The kinetic parameters SEIR‐AQ were obtained by fitting, solved through Euler method. Furthermore, effects countries’ strategies number infections, proportion...
Reducing noise in CT images and extracting key features are crucial for improving the accuracy of medical diagnoses, but it remains a challenging problem due to complex characteristics limitations existing methods. It is worth noting that multiple views can provide richer representation information compared single view, unique advantages wavelet transform feature analysis. In this study, novel Multi-View Weighted Feature Fusion algorithm called MVWF proposed address challenge enhancing image...
In this study, we aimed to investigate the association between father presence and resilience of adolescents, whether failure learning mediates association. Specifically, obtained in-depth details on relation adolescents' by examining mediating effects four subfactors learning: cognition, reflection analysis, experience transformation, prudent attempt. For purpose, used questionnaire access Chinese middle school students' presence, resilience, learning. total, six hundred twenty-six valid...
In order to study the impact of continuous vaccination and voluntary isolation for COVID-19, a susceptible-exposed-infected-recovered-quarantine-vaccines (SEIR-QV) model is proposed. A basic regeneration number <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:msub> <a:mrow> <a:mi>R</a:mi> </a:mrow> <a:mn>0</a:mn> </a:msub> </a:math> defined determine extinction or persistence disease. We numerically analyze key parameters based on actual such as rate, population importation...
This article concerns the dimension reduction in regression for large data set. We introduce a new method based on sliced inverse approach, called cluster-based regularized regression. Our not only keeps merit of considering both response and predictors' information, but also enhances capability handling highly correlated variables. It is justified under certain linearity conditions. An empirical application macroeconomic set shows that our has outperformed dynamic factor model other...