Zhenhua Dai
Biographic Data
| ID | 7264660 |
|---|---|
| NAME | Zhenhua Dai |
| GIVEN NAMES | Zhenhua |
| FAMILY NAME | Dai |
| SIGNATURE | DAI Z |
| AFFILIATIONS | Guangzhou University of Chinese Medicine |
| ORCID | 0000-0002-0363-4186 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Epidemic trends and characteristics of notifiable infectious diseases in mainland China during the Covid-19
Background: The implementation of COVID-19 control and prevention measures has significantly influenced the incidence rates of multiple notifiable infectious diseases. We aimed to investigate the epidemiological trends of notifiable infectious diseases in mainland China from 2020 to 2024, a period spanning both stringent interventions and their subsequent relaxation. Methods: We systematically analysed surveillance data from the National Center f…
Zhen-Wu-Tang ameliorates renal fibrosis and tissue stiffness in a murine lupus model, an effect associated with the suppression of fibroblast-to-myofibroblast transition
Two-Stage Distributionally Robust Minimum Cost Consensus Modeling With Loss Aversion
In group decision making (GDM), decision makers (DMs) may exhibit loss averse behavior. In addition, due to the complexity of GDM in the real world, there are various uncertainties. However, traditional studies ignore DMs’ loss aversion behavior under uncertain environments. To address this gap, this article develops a two-stage distributionally robust minimum cost consensus model under uncertainty with loss aversion (TSDR-MCCM-LA). In the first …
Research on Vehicle Trajectory Deviation Characteristics on Freeways Using Natural Driving Trajectory Data
Lateral driving behavior analysis is the foundation of freeway cross-section design and the focus of road safety research. However, the factors that influence vehicle lateral driving behavior have not been clearly explained. The dataset of the natural driving trajectory of freeways is used in this study to analyze vehicle lateral driving behavior and trajectory characteristics. As vehicle trajectory characteristic indicators, parameters such as p…
Shegan-Mahuang Decoction ameliorates asthmatic airway hyperresponsiveness by downregulating Th2/Th17 cells but upregulating CD4+FoxP3+ Tregs
Our findings demonstrate that SMD attenuates asthmatic airway hyperresponsiveness by hindering Th2/Th17 differentiation, promoting CD4+FoxP3+ Treg generation and suppressing mTOR and NF-kB activities
No prominent works on this page.
Shegan-Mahuang Decoction ameliorates asthmatic airway hyperresponsiveness by downregulating Th2/Th17 cells but upregulating CD4+FoxP3+ Tregs
Our findings demonstrate that SMD attenuates asthmatic airway hyperresponsiveness by hindering Th2/Th17 differentiation, promoting CD4+FoxP3+ Treg generation and suppressing mTOR and NF-kB activities
Research on Vehicle Trajectory Deviation Characteristics on Freeways Using Natural Driving Trajectory Data
Lateral driving behavior analysis is the foundation of freeway cross-section design and the focus of road safety research. However, the factors that influence vehicle lateral driving behavior have not been clearly explained. The dataset of the natural driving trajectory of freeways is used in this study to analyze vehicle lateral driving behavior and trajectory characteristics. As vehicle trajectory characteristic indicators, parameters such as p…
Two-Stage Distributionally Robust Minimum Cost Consensus Modeling With Loss Aversion
In group decision making (GDM), decision makers (DMs) may exhibit loss averse behavior. In addition, due to the complexity of GDM in the real world, there are various uncertainties. However, traditional studies ignore DMs’ loss aversion behavior under uncertain environments. To address this gap, this article develops a two-stage distributionally robust minimum cost consensus model under uncertainty with loss aversion (TSDR-MCCM-LA). In the first …
Epidemic trends and characteristics of notifiable infectious diseases in mainland China during the Covid-19
Background: The implementation of COVID-19 control and prevention measures has significantly influenced the incidence rates of multiple notifiable infectious diseases. We aimed to investigate the epidemiological trends of notifiable infectious diseases in mainland China from 2020 to 2024, a period spanning both stringent interventions and their subsequent relaxation. Methods: We systematically analysed surveillance data from the National Center f…
Zhen-Wu-Tang ameliorates renal fibrosis and tissue stiffness in a murine lupus model, an effect associated with the suppression of fibroblast-to-myofibroblast transition
Computer Science (2 works) · Mathematics (2 works) · Adenosinergic (1 work) · Asthma (1 work) · Asthma and respiratory diseases (1 work) · Automotive Engineering (1 work) · Biology (1 work) · Botany (1 work) · China (1 work) · Chronic Kidney Disease and Diabetes (1 work)