Chuan Zhang
Biographic Data
| ID | 4069289 |
|---|---|
| NAME | Chuan Zhang |
| GIVEN NAMES | Chuan |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG C |
| AFFILIATIONS | Second Military Medical University |
| ORCID | 0000-0002-9311-0799 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Does digital government construction promote regional innovation? Evidence from Chinese cities
Against the backdrop of the global technological revolution and industrial transformation, regional innovation has become a core engine for high-quality development. Using panel data of 283 Chinese prefecture-level cities from 2016 to 2022, this paper employs a two-way fixed-effects model, mediating effect model, moderating effect model and spatial econometric model to empirically examine the impact, mechanism and spatial spillover effect of digi…
Burden, trends, and predictions of low physical activity-related diseases in China: Analysis from the Global Burden of Disease Study, 1990–2021, with projections to 2035
Objective: To evaluate the burden of disease related to low physical activity in China, examine its trends over time, and predict future trends up to 2035 to inform preventive actions. Methods: Using Global Burden of Disease Study 2021 (GBD2021) data, we analyzed the burden of disease associated with low physical activity, employing Deaths and Disability-Adjusted Life Years (DALYs) as indicators. Trends from 1990 to 2021 were examined using the E…
Non-financial information farsightedness and capital market information efficiency
Non-financial information disclosed by firms is an important channel for investors and analysts to understand the operating conditions of firms and a major source of information other than financial data. This study examines the impact of disclosure of forward-looking non-financial information content by listed companies on the information efficiency of the capital market. Using data from A-share listed companies in China’s Shanghai and Shenzhen …
Predicting the risk factors of diabetic ketoacidosis-associated acute kidney injury: A machine learning approach using XGBoost
Objective The purpose of this study was to develop and validate a predictive model based on a machine learning (ML) approach to identify patients with DKA at increased risk of AKI within 1 week of hospitalization in the intensive care unit (ICU). Methods Patients diagnosed with DKA from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database according to the International Classification of Diseases (ICD)-9/10 code were included. Th…
Accelerating climate action through an inclusive, innovative, and iterative stocktake
Berberine hydrochloride inhibits migration ability via increasing inducible NO synthase and peroxynitrite in HTR-8/SVneo cells
Hepatitis B Infection Among Pregnant Women in China: A Systematic Review and Meta-Analysis
Influence of spatiotemporal changes of impervious surface on the urban thermal environment: A case of Huai'an central urban area
On the feature engineering of building energy data mining
Rhizoma Anemarrhenae extract ameliorates hyperglycemia and insulin resistance via activation of AMP-activated protein kinase in diabetic rodents
This study that TFA mediates activation of AMPK and improves overall glucose and lipid metabolism in diabetic rodents, highlights the potential utility of TFA for the management of type 2 diabetes
Relationship of 2D: 4D finger ratio with androgen receptor CAG and GGN repeat polymorphism
OBJECTIVES: The relative length of the second-to-fourth digits (2D:4D) has been linked with prenatal androgen in humans. A recent study shows that the 2D:4D ratio in mice is controlled by the balance of androgen to estrogen signaling during a narrow window of digit development. Androgen receptor (AR) activity is higher in digit 4 than in digit 2, and inactivation of AR decreases growth of digit 4, which causes a higher 2D:4D ratio. At the molecul…
Protective effects of dehydrocavidine on carbon tetrachloride-induced acute hepatotoxicity in rats
Gastroprotective effect of a traditional Chinese herbal drug “Baishouwu” on experimental gastric lesions in rats
No prominent works on this page.
Gastroprotective effect of a traditional Chinese herbal drug “Baishouwu” on experimental gastric lesions in rats
Protective effects of dehydrocavidine on carbon tetrachloride-induced acute hepatotoxicity in rats
Relationship of 2D: 4D finger ratio with androgen receptor CAG and GGN repeat polymorphism
OBJECTIVES: The relative length of the second-to-fourth digits (2D:4D) has been linked with prenatal androgen in humans. A recent study shows that the 2D:4D ratio in mice is controlled by the balance of androgen to estrogen signaling during a narrow window of digit development. Androgen receptor (AR) activity is higher in digit 4 than in digit 2, and inactivation of AR decreases growth of digit 4, which causes a higher 2D:4D ratio. At the molecul…
Rhizoma Anemarrhenae extract ameliorates hyperglycemia and insulin resistance via activation of AMP-activated protein kinase in diabetic rodents
This study that TFA mediates activation of AMPK and improves overall glucose and lipid metabolism in diabetic rodents, highlights the potential utility of TFA for the management of type 2 diabetes
On the feature engineering of building energy data mining
Hepatitis B Infection Among Pregnant Women in China: A Systematic Review and Meta-Analysis
Influence of spatiotemporal changes of impervious surface on the urban thermal environment: A case of Huai'an central urban area
Predicting the risk factors of diabetic ketoacidosis-associated acute kidney injury: A machine learning approach using XGBoost
Objective The purpose of this study was to develop and validate a predictive model based on a machine learning (ML) approach to identify patients with DKA at increased risk of AKI within 1 week of hospitalization in the intensive care unit (ICU). Methods Patients diagnosed with DKA from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database according to the International Classification of Diseases (ICD)-9/10 code were included. Th…
Accelerating climate action through an inclusive, innovative, and iterative stocktake
Berberine hydrochloride inhibits migration ability via increasing inducible NO synthase and peroxynitrite in HTR-8/SVneo cells
Non-financial information farsightedness and capital market information efficiency
Non-financial information disclosed by firms is an important channel for investors and analysts to understand the operating conditions of firms and a major source of information other than financial data. This study examines the impact of disclosure of forward-looking non-financial information content by listed companies on the information efficiency of the capital market. Using data from A-share listed companies in China’s Shanghai and Shenzhen …
Burden, trends, and predictions of low physical activity-related diseases in China: Analysis from the Global Burden of Disease Study, 1990–2021, with projections to 2035
Objective: To evaluate the burden of disease related to low physical activity in China, examine its trends over time, and predict future trends up to 2035 to inform preventive actions. Methods: Using Global Burden of Disease Study 2021 (GBD2021) data, we analyzed the burden of disease associated with low physical activity, employing Deaths and Disability-Adjusted Life Years (DALYs) as indicators. Trends from 1990 to 2021 were examined using the E…
Does digital government construction promote regional innovation? Evidence from Chinese cities
Against the backdrop of the global technological revolution and industrial transformation, regional innovation has become a core engine for high-quality development. Using panel data of 283 Chinese prefecture-level cities from 2016 to 2022, this paper employs a two-way fixed-effects model, mediating effect model, moderating effect model and spatial econometric model to empirically examine the impact, mechanism and spatial spillover effect of digi…
Medicine (7 works) · Internal Medicine (5 works) · Biochemistry (4 works) · Chemistry (4 works) · Pharmacology (4 works) · Biological activity (2 works) · Biology (2 works) · Business (2 works) · Computer Science (2 works) · Diabetes mellitus (2 works)