Zhichao Li
Dados Biográficos
| ID | 3684060 |
|---|---|
| NOME | Zhichao Li |
| PRENOMES | Zhichao |
| SOBRENOME | Li |
| ASSINATURA | LI Z |
| AFILIAÇÕES | Chinese Academy of Sciences |
| ORCID | 0000-0001-8218-0540 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 24 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 24 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2009 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
From fee to tax
The complex influence of scientific literacy on the perception of AI risks
This study is based on the improved Unified Theory of Acceptance and Use of Technology model (UTAUT). It explores how scientific literacy influences the public’s risk perception of artificial intelligence, with a focus on two key aspects: the mediating role of personal relevance and the moderating effects of four factors – technological familiarity, perceived safety, perceived transparency, and respect for scientific authority. Through a cross – …
Preventive vs. therapeutic effects of Shoutai Wan
In RSA mice, disturbances in aerobic glycolysis at the MFI prevent the maintenance of a stable AME, thus impairing angiogenesis and leading to embryo loss, and STW effectively improve early pregnancy outcomes, and laying the foundation for uterine spiral artery remodeling
Can Urban Agglomeration Policy Enhance Comprehensive Urban Resilience? Evidence from China
Recently, researchers have become increasingly interested in urban resilience, which can be used to comprehensively evaluate the quality of urban development. Although some studies have addressed the effects of China’s national urban agglomeration (NUA) policy on the economic and environmental resilience of Chinese cities, scholars have not yet adequately addressed the impact of NUA on comprehensive urban resilience. Accordingly, this study intro…
The Impact of Intergovernmental Cooperation and Local Fiscal Autonomy on Environmental Regional Governance
Previous research on regional environmental pollution acknowledge that cross-level government cooperation plays an important role in controlling regional environmental pollution. However, the balance between local fiscal autonomy and governance costs has received little attention. To fill this research gap, this paper argues a model of local fiscal autonomy moderating the efficiency of environmental governance, which provides a basis for studying…
Spatiotemporal changes of ecosystem services value and cross regional ecological compensation in the Yangtze River Basin
Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening
Introduction Atrial fibrillation (AF) is a challenging cardiovascular disease worldwide. Wearable electrocardiograph devices (WEDs) have great potential to improve the detection rate of AF in primary care. However, the factors that influence general practitioners’ (GPs) perception and acceptance of WEDs are not well understood. To identify factors that influence the intention of GPs to utilize WEDs in a clinical setting to screen patients for AF.…
The role of booster vaccination in decreasing Covid-19 age-adjusted case fatality rate
Background The global COVID-19 pandemic is still ongoing, and cross-country and cross-period variation in COVID-19 age-adjusted case fatality rates (CFRs) has not been clarified. Here, we aimed to identify the country-specific effects of booster vaccination and other features that may affect heterogeneity in age-adjusted CFRs with a worldwide scope, and to predict the benefit of increasing booster vaccination rate on future CFR. Method Cross-temp…
Prior water availability modifies the effect of heavy rainfall on dengue transmission
Introduction: Given the rapid geographic spread of dengue and the growing frequency and intensity of heavy rainfall events, it is imperative to understand the relationship between these phenomena in order to propose effective interventions. However, studies exploring the association between heavy rainfall and dengue infection risk have reached conflicting conclusions, potentially due to the neglect of prior water availability in mosquito breeding…
Análise Espacial Das Ondas Epidêmicas De Dengue No Distrito Federal, Brasil
Dengue has impacted public health in recent decades. In the Federal District, epidemics have been recurrent and record number of cases registered. Although it presents seasonal patterns, its transmission is associated with the organization of urban and environmental dynamics. This article aims to analyze the spatio-temporal dynamics of dengue in the urban space of the Federal District between 2014 and 2019. Geostatistical analysis were used to id…
Policy Changes in China’s Family Planning
Studies on policy change focus on governmental decision-making from a technical rationality perspective, ignoring the fact that policy change is a complicated social construction process involving multiple actors. This study used the modified advocacy coalition framework to explain changes in China's family planning policy and discourse network analysis to show the debate on the birth control policy among multiple actors (central government, loca…
Gender, situational visibility, and discretionary decision-making of regulatory street-level bureaucrats under pandemic emergency
How is the discretion of police officers influenced by clients’ gender and situational visibility under emergency regulations? To answer this question, this study uses the scenario-based-experimental-survey data collected from 878 police officers from three cities in China under the COVID-19 pandemic. The results show that the effect of gender congruence on the leniency of officers is only significantly positive when police and clients are both f…
Urban Land Expansion from Scratch to Urban Agglomeration in the Federal District of Brazil in the Past 60 Years
Empirical studies of urban expansion have increased rapidly in recent decades worldwide. Previous studies mainly focused on cities in China, the United States or African countries, with Brazilian cities receiving less attention. Moreover, such studies are rare in purpose-built cities. Taking the urban expansion from scratch (1960) to urban agglomeration (2015) in the Federal District of Brazil (FDB) as an example, this study aims to quantify the …
Forecasting Weekly Dengue Cases by Integrating Google Earth Engine-Based Risk Predictor Generation and Google Colab-Based Deep Learning Modeling in Fortaleza and the Federal District, Brazil
Efficient and accurate dengue risk prediction is an important basis for dengue prevention and control, which faces challenges, such as downloading and processing multi-source data to generate risk predictors and consuming significant time and computational resources to train and validate models locally. In this context, this study proposed a framework for dengue risk prediction by integrating big geospatial data cloud computing based on Google Ea…
A Research on Landslides Automatic Extraction Model Based on the Improved Mask R-CNN
Landslides are the most common and destructive secondary geological hazards caused by earthquakes. It is difficult to extract landslides automatically based on remote sensing data, which is import for the scenario of disaster emergency rescue. The literature review showed that the current landslides extraction methods mostly depend on expert interpretation which was low automation and thus was unable to provide sufficient information for earthqua…
Forecast of Dengue Cases in 20 Chinese Cities Based on the Deep Learning Method
Dengue fever (DF) is one of the most rapidly spreading diseases in the world, and accurate forecasts of dengue in a timely manner might help local government implement effective control measures. To obtain the accurate forecasting of DF cases, it is crucial to model the long-term dependency in time series data, which is difficult for a typical machine learning method. This study aimed to develop a timely accurate forecasting model of dengue based…
Screening and Diagnosis of Chronic Pharyngitis Based on Deep Learning
Chronic pharyngitis is a common disease, which has a long duration and a wide range of onset. It is easy to misdiagnose by mistaking it with other diseases, such as chronic tonsillitis, by using common diagnostic methods. In order to reduce costs and avoid misdiagnosis, the search for an affordable and rapid diagnostic method is becoming more and more important for chronic pharyngitis research. Speech disorder is one of the typical symptoms of pa…
Spatiotemporal Transmission Patterns and Determinants of Dengue Fever
Dengue fever is one of the most common vector-borne diseases in the world and is mainly affected by the interaction of meteorological, human and land-use factors. This study aims to identify the impact of meteorological, human and land-use factors on dengue fever cases, involving the interplay between multiple factors. The analyses identified the statistically significant determinants affecting the transmission of dengue fever, employing cross-co…
An Improved Ecological Services Valuation Model in Land Use Project
Natural ecosystems benefit human lives via providing fundamental life-support services and goods upon which human civilization depends. However, as nature provides those for free, many people believe that they are of little or no value and they exploit the land greedily and unreasonably, which makes serious ecological degradation. Concerning this issue, we present the ecological services valuation model (ESVM) to measure the cost of environmental…
Assessment of personal exposure to particulate air pollution
The heterogeneity in personal exposure found in this the first CHO campaign highlighted the importance of studying the pollution exposure at the individual scale. It is at the critical stage to bridge the knowledge gap of environmental inequality in different populations, which can lead to great health implications
Wetlands and Malaria in the Amazon
The prevention and control of mosquito-borne diseases, such as malaria, are important health issues in tropical areas. Malaria transmission is a multi-scale process strongly controlled by environmental factors, and the use of remote-sensing data is suitable for the characterization of its spatial and temporal dynamics. Synthetic aperture radar (SAR) is well-adapted to tropical areas, since it is capable of imaging independent of light and weather…
Apports de la combinaison d'images satellites optique et Radar dans l'étude des maladies à transmission vectorielle
La distribution des moustiques vecteurs du paludisme est contrôlée par divers facteurs comme le climat, les types d'occupation du sol, ou les activités humaines. Dans la région amazonienne, des foyers endémiques de paludisme subsistent, notamment à la frontière entre la Guyane française et l'état d'Amapa au Brésil. Cette zone, longue de plus de 300 km, présente de nombreuses difficultés dans la collecte des informations nécessaires à la gestion s…
Employability and Employment Outcomes of No-Fee Preservice Students
This study used interviews and questionnaires to survey 770 no-fee preservice students. Its findings were as follows: (1) Their employability encompasses five dimensions: teaching skills, ability to learn specialized knowledge, ability to grasp elementary and secondary teaching materials and methods, communication skills, and ability to apply for a job. (2) Teaching skills scored highest as the most important aspect of employability. Men scored h…
Effects of sodium tanshinone II A sulphonate on hypoxic pulmonary hypertension in rats in vivo and on Kv2.1 expression in pulmonary artery smooth muscle cells in vitro
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Effects of sodium tanshinone II A sulphonate on hypoxic pulmonary hypertension in rats in vivo and on Kv2.1 expression in pulmonary artery smooth muscle cells in vitro
Employability and Employment Outcomes of No-Fee Preservice Students
This study used interviews and questionnaires to survey 770 no-fee preservice students. Its findings were as follows: (1) Their employability encompasses five dimensions: teaching skills, ability to learn specialized knowledge, ability to grasp elementary and secondary teaching materials and methods, communication skills, and ability to apply for a job. (2) Teaching skills scored highest as the most important aspect of employability. Men scored h…
Wetlands and Malaria in the Amazon
The prevention and control of mosquito-borne diseases, such as malaria, are important health issues in tropical areas. Malaria transmission is a multi-scale process strongly controlled by environmental factors, and the use of remote-sensing data is suitable for the characterization of its spatial and temporal dynamics. Synthetic aperture radar (SAR) is well-adapted to tropical areas, since it is capable of imaging independent of light and weather…
Apports de la combinaison d'images satellites optique et Radar dans l'étude des maladies à transmission vectorielle
La distribution des moustiques vecteurs du paludisme est contrôlée par divers facteurs comme le climat, les types d'occupation du sol, ou les activités humaines. Dans la région amazonienne, des foyers endémiques de paludisme subsistent, notamment à la frontière entre la Guyane française et l'état d'Amapa au Brésil. Cette zone, longue de plus de 300 km, présente de nombreuses difficultés dans la collecte des informations nécessaires à la gestion s…
Screening and Diagnosis of Chronic Pharyngitis Based on Deep Learning
Chronic pharyngitis is a common disease, which has a long duration and a wide range of onset. It is easy to misdiagnose by mistaking it with other diseases, such as chronic tonsillitis, by using common diagnostic methods. In order to reduce costs and avoid misdiagnosis, the search for an affordable and rapid diagnostic method is becoming more and more important for chronic pharyngitis research. Speech disorder is one of the typical symptoms of pa…
Spatiotemporal Transmission Patterns and Determinants of Dengue Fever
Dengue fever is one of the most common vector-borne diseases in the world and is mainly affected by the interaction of meteorological, human and land-use factors. This study aims to identify the impact of meteorological, human and land-use factors on dengue fever cases, involving the interplay between multiple factors. The analyses identified the statistically significant determinants affecting the transmission of dengue fever, employing cross-co…
An Improved Ecological Services Valuation Model in Land Use Project
Natural ecosystems benefit human lives via providing fundamental life-support services and goods upon which human civilization depends. However, as nature provides those for free, many people believe that they are of little or no value and they exploit the land greedily and unreasonably, which makes serious ecological degradation. Concerning this issue, we present the ecological services valuation model (ESVM) to measure the cost of environmental…
Assessment of personal exposure to particulate air pollution
The heterogeneity in personal exposure found in this the first CHO campaign highlighted the importance of studying the pollution exposure at the individual scale. It is at the critical stage to bridge the knowledge gap of environmental inequality in different populations, which can lead to great health implications
Forecast of Dengue Cases in 20 Chinese Cities Based on the Deep Learning Method
Dengue fever (DF) is one of the most rapidly spreading diseases in the world, and accurate forecasts of dengue in a timely manner might help local government implement effective control measures. To obtain the accurate forecasting of DF cases, it is crucial to model the long-term dependency in time series data, which is difficult for a typical machine learning method. This study aimed to develop a timely accurate forecasting model of dengue based…
A Research on Landslides Automatic Extraction Model Based on the Improved Mask R-CNN
Landslides are the most common and destructive secondary geological hazards caused by earthquakes. It is difficult to extract landslides automatically based on remote sensing data, which is import for the scenario of disaster emergency rescue. The literature review showed that the current landslides extraction methods mostly depend on expert interpretation which was low automation and thus was unable to provide sufficient information for earthqua…
Gender, situational visibility, and discretionary decision-making of regulatory street-level bureaucrats under pandemic emergency
How is the discretion of police officers influenced by clients’ gender and situational visibility under emergency regulations? To answer this question, this study uses the scenario-based-experimental-survey data collected from 878 police officers from three cities in China under the COVID-19 pandemic. The results show that the effect of gender congruence on the leniency of officers is only significantly positive when police and clients are both f…
Urban Land Expansion from Scratch to Urban Agglomeration in the Federal District of Brazil in the Past 60 Years
Empirical studies of urban expansion have increased rapidly in recent decades worldwide. Previous studies mainly focused on cities in China, the United States or African countries, with Brazilian cities receiving less attention. Moreover, such studies are rare in purpose-built cities. Taking the urban expansion from scratch (1960) to urban agglomeration (2015) in the Federal District of Brazil (FDB) as an example, this study aims to quantify the …
Forecasting Weekly Dengue Cases by Integrating Google Earth Engine-Based Risk Predictor Generation and Google Colab-Based Deep Learning Modeling in Fortaleza and the Federal District, Brazil
Efficient and accurate dengue risk prediction is an important basis for dengue prevention and control, which faces challenges, such as downloading and processing multi-source data to generate risk predictors and consuming significant time and computational resources to train and validate models locally. In this context, this study proposed a framework for dengue risk prediction by integrating big geospatial data cloud computing based on Google Ea…
Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening
Introduction Atrial fibrillation (AF) is a challenging cardiovascular disease worldwide. Wearable electrocardiograph devices (WEDs) have great potential to improve the detection rate of AF in primary care. However, the factors that influence general practitioners’ (GPs) perception and acceptance of WEDs are not well understood. To identify factors that influence the intention of GPs to utilize WEDs in a clinical setting to screen patients for AF.…
The role of booster vaccination in decreasing Covid-19 age-adjusted case fatality rate
Background The global COVID-19 pandemic is still ongoing, and cross-country and cross-period variation in COVID-19 age-adjusted case fatality rates (CFRs) has not been clarified. Here, we aimed to identify the country-specific effects of booster vaccination and other features that may affect heterogeneity in age-adjusted CFRs with a worldwide scope, and to predict the benefit of increasing booster vaccination rate on future CFR. Method Cross-temp…
Prior water availability modifies the effect of heavy rainfall on dengue transmission
Introduction: Given the rapid geographic spread of dengue and the growing frequency and intensity of heavy rainfall events, it is imperative to understand the relationship between these phenomena in order to propose effective interventions. However, studies exploring the association between heavy rainfall and dengue infection risk have reached conflicting conclusions, potentially due to the neglect of prior water availability in mosquito breeding…
Análise Espacial Das Ondas Epidêmicas De Dengue No Distrito Federal, Brasil
Dengue has impacted public health in recent decades. In the Federal District, epidemics have been recurrent and record number of cases registered. Although it presents seasonal patterns, its transmission is associated with the organization of urban and environmental dynamics. This article aims to analyze the spatio-temporal dynamics of dengue in the urban space of the Federal District between 2014 and 2019. Geostatistical analysis were used to id…
Policy Changes in China’s Family Planning
Studies on policy change focus on governmental decision-making from a technical rationality perspective, ignoring the fact that policy change is a complicated social construction process involving multiple actors. This study used the modified advocacy coalition framework to explain changes in China's family planning policy and discourse network analysis to show the debate on the birth control policy among multiple actors (central government, loca…
Can Urban Agglomeration Policy Enhance Comprehensive Urban Resilience? Evidence from China
Recently, researchers have become increasingly interested in urban resilience, which can be used to comprehensively evaluate the quality of urban development. Although some studies have addressed the effects of China’s national urban agglomeration (NUA) policy on the economic and environmental resilience of Chinese cities, scholars have not yet adequately addressed the impact of NUA on comprehensive urban resilience. Accordingly, this study intro…
The Impact of Intergovernmental Cooperation and Local Fiscal Autonomy on Environmental Regional Governance
Previous research on regional environmental pollution acknowledge that cross-level government cooperation plays an important role in controlling regional environmental pollution. However, the balance between local fiscal autonomy and governance costs has received little attention. To fill this research gap, this paper argues a model of local fiscal autonomy moderating the efficiency of environmental governance, which provides a basis for studying…
Spatiotemporal changes of ecosystem services value and cross regional ecological compensation in the Yangtze River Basin
Preventive vs. therapeutic effects of Shoutai Wan
In RSA mice, disturbances in aerobic glycolysis at the MFI prevent the maintenance of a stable AME, thus impairing angiogenesis and leading to embryo loss, and STW effectively improve early pregnancy outcomes, and laying the foundation for uterine spiral artery remodeling
From fee to tax
The complex influence of scientific literacy on the perception of AI risks
This study is based on the improved Unified Theory of Acceptance and Use of Technology model (UTAUT). It explores how scientific literacy influences the public’s risk perception of artificial intelligence, with a focus on two key aspects: the mediating role of personal relevance and the moderating effects of four factors – technological familiarity, perceived safety, perceived transparency, and respect for scientific authority. Through a cross – …
Geography (12 obras) · Medicine (12 obras) · China (7 obras) · Mosquito-borne diseases and control (7 obras) · Computer Science (6 obras) · Environmental health (5 obras) · Environmental Science (5 obras) · Artificial Intelligence (4 obras) · Biology (4 obras) · Dengue fever (4 obras)