Xiao Tang
Dados Biográficos
| ID | 3893720 |
|---|---|
| NOME | Xiao Tang |
| PRENOMES | Xiao |
| SOBRENOME | Tang |
| ASSINATURA | TANG X |
| AFILIAÇÕES | Tsinghua University |
| ORCID | 0000-0001-9545-247X |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 22 |
| TOTAL DE CITAÇÕES | 49 |
| TOTAL COMO AUTOR | 22 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2018 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 3 |
Relational Ties and Network Structure
This study analyzes the mechanism of information provider selection during the inter-organizational learning dynamic process, which is essential but lacks attention in public sector learning literature. Based on a dynamic network dataset of field learning of Chinese local governments (2006–2019), we employ temporal exponential random graph model to reveal that inter-organization relationships and endogenous structure jointly drive the information…
Association between creatinine to cystatin C ratio and the incidence of depressive symptoms among middle-aged and older adults
The CCR is inversely associated with the risk of incident DS over 2 years, suggesting that the CCR may serve as a useful biomarker for predicting and managing mental health in middle-aged and older adults
Learning physically interpretable deep networks from reanalysis data for medium-term regional PM 2.5 forecasts
Medium-term regional forecasts of fine particulate matter (PM 2.5 ) are critical to mitigate its hazardous environmental effects. Deep learning (DL) has recently emerged as a promising technique to improve traditional forecasts based on chemistry-transport models (CTMs). However, challenges remain in (1) representing the complex physics of the PM 2.5 pollution processes including the emission, transport, and chemical conversion of the pollutants,…
Cost-effectiveness of chronic obstructive pulmonary disease population screening in China
Despite the underlying uncertainty, annual two-step COPD population screening in China may probably be cost-effective compared with no screening and deserves further large-scale implementation
Validation of measurement of body composition by dual-energy X-ray absorptiometry and bioelectrical impedance analysis and body composition’s profiling in Tibetan’s adults
Objective: We aimed to validate in-body bioelectrical impedance analysis (BIA) measures with dual-energy X-ray absorptiometry (DXA) as reference and describe the body composition (BC) profiling of Tibetan adults. Design: This cross-sectional study included 855 participants (391 men and 464 women). Correlation and Bland–Altman analyses were performed for method agreement of in-body BIA and DXA. BC were described by obesity and metabolic status. Se…
Public attitudes toward state-led urban village rehabilitation in Shenzhen, China
Gauging the Impacts of Performance Information Disclosure on Citizen Satisfaction
Despite extensive research investigating the link between government performance and citizen satisfaction, our understanding is limited regarding whether and how information disclosure affects this relationship in the digital era. This study bridges this gap by examining the interactive effects of information disclosure and performance information on citizen satisfaction. We argue that information disclosure strengthens the “performance–satisfact…
A Window of Opportunity
Data manipulation plagues principals for providing noisy performance data. Yet, it also has pitfalls for agents, which receive relatively little attention in the literature. Due to the performance data manipulated by previous agents, incumbent agents fall into the dilemma regarding whether to continue or curb data manipulation. We argue that to navigate the dilemma, political agents leverage the anti‐corruption opportunity window to curb data man…
HPV genotypes in invasive cervical cancer
Background: Understanding the HPV genotype distribution in invasive cervical cancer (ICC) is essential for vaccine optimization. This study presents a comprehensive analysis of HPV genotypes in ICC tissues from patients in western China, with the aim of informing regional vaccine policy and prevention strategies. Methods: DNA was extracted from 1,908 paraffin-embedded ICC samples, and 23 HPV genotypes were detected via PCR and reverse dot hybridi…
Significant shift of footprint patterns and pollutant source contributions
As two of the most important products of the combustion process, carbon dioxide (CO 2 ) and carbon monoxide (CO) are commonly used as tracers for combustion source assignment. Their relationship will help to better understand the regional carbon cycle and assess climate forcing effects. In this study, mixing ratios of CO 2 and CO were continuously measured using a Picarro gas concentration analyzer at the Atmospheric Boundary Layer Eco-Environmen…
Measuring the impact of government intervention on the spatial variation of market-oriented urban redevelopment activities in Shenzhen, China
Land revenue and government myopia
Disparities of obesity and non-communicable disease burden between the Tibetan Plateau and developed megacities in China
Background Non-communicable diseases (NCDs) including risk factors, e.g., obesity, are the major causes of preventable deaths in China, yet NCD disparities in China remain under-studied. Objective This study aimed to compare the determinants and burden of NCDs within four selected provinces in mainland China: the least developed Qinghai-Tibet Plateau group (PG, Tibetan Autonomous Region [TAR] and Qinghai Province) and most developed megacity grou…
Multi-Type Features Embedded Deep Learning Framework for Residential Building Prediction
Building type prediction is a critical task for urban planning and population estimation. The growing availability of multi-source data presents rich semantic information for building type prediction. However, existing residential building prediction methods have problems with feature extraction and fusion from multi-type data and multi-level interactions between features. To overcome these limitations, we propose a deep learning approach that ta…
Spatiotemporal evolution of aeolian dust in China
Aeolian dust is closely related to land degradation, desertification, and sand and dust storm weather, and is a significant factor influencing the Earth's biogeochemical cycles. Here we present an investigation of the recent synoptic features of atmospheric dust in China and analyze its spatiotemporal change based upon meteorological observation data and satellite products. It shows that aeolian dust frequency in China has decreased gradually fro…
Data Manipulation through Patronage Networks
Data manipulation is considered one of the most pernicious forms of information distortion that challenges the effectiveness of the principals in monitoring agents. This study investigates factors influencing the behaviors of data manipulation from the perspective of patronage networks. Patronage networks feature a reciprocal exchange between patrons who control appealing resources and clients who ask for protection and benefits from the patrons.…
Transition patterns of metabolism-weight phenotypes over time
Background: A change in weight or metabolic status is a dynamic process, yet most studies have focused on metabolically healthy obesity (MHO) and the transition between MHO and metabolically unhealthy obesity (MUO); therefore, they have not fully revealed the nature of all possible transitions among metabolism-weight phenotypes over the years. Methods: This was a longitudinal study based on a retrospective health check-up cohort. A total of 9,742…
Influences of stratospheric intrusions to high summer surface ozone over a heavily industrialized region in northern China
The stratospheric contribution to tropospheric ozone has long been a topic of much debate over the past few decades. In this study, we leveraged multiple datasets from surface, sounding and satellite observations to reanalysis datasets, along with a global chemical transport model (Global Nested Air Quality Prediction Modelling System, GNAQPMS) to investigate the impact of a stratospheric-to-tropospheric transport (STT) event characterized by lon…
Effects of local government social media use on citizen compliance during a crisis
Improving citizen compliance is a major goal of public administration, especially during crises. Although social media are widely used by government agencies across the globe, it is still unclear that whether the use of social media can help local governments improve citizen compliance especially during crises. Based on an original daily panel dataset of 189 cities in China during COVID-19, this study provides empirical evidence for the positive …
Do Authoritarian Governments Respond to Public Opinion on the Environment? Evidence from China
Given its serious impacts on the public's health, air pollution in China is a matter of strong public concern, particularly in reference to malodorous waste gas. Petition letters related to atmospheric pollution accounted for about 40% of the total petition cases. However, scholarly views differ on whether the Chinese government responds to public opinion on the environment and seeks to improve its environmental governance behavior. For this stud…
Prediction of the development of metabolic syndrome by the Markov model based on a longitudinal study in Dalian City
Markov models are suitable for describing and predicting the dynamic development of MetS. The occurrence of MetS most frequently began with dyslipidemia or obesity. Obesity played a predominant role in the development of MetS. Early obesity intervention was extremely important for MetS prevention
Performance Ranking and Environmental Governance
With the deterioration of the environment across the globe, environmental problems have attracted much attention from the public, academia, and governments. This study contributes to the understanding of environmental policy implementation by empirically testing the policy feedback theory and official ranking tournament theory in the Chinese context. In particular, it focuses on how prior environmental performance ranking transitions into future …
Data Manipulation through Patronage Networks
Data manipulation is considered one of the most pernicious forms of information distortion that challenges the effectiveness of the principals in monitoring agents. This study investigates factors influencing the behaviors of data manipulation from the perspective of patronage networks. Patronage networks feature a reciprocal exchange between patrons who control appealing resources and clients who ask for protection and benefits from the patrons.…
Effects of local government social media use on citizen compliance during a crisis
Improving citizen compliance is a major goal of public administration, especially during crises. Although social media are widely used by government agencies across the globe, it is still unclear that whether the use of social media can help local governments improve citizen compliance especially during crises. Based on an original daily panel dataset of 189 cities in China during COVID-19, this study provides empirical evidence for the positive …
Performance Ranking and Environmental Governance
With the deterioration of the environment across the globe, environmental problems have attracted much attention from the public, academia, and governments. This study contributes to the understanding of environmental policy implementation by empirically testing the policy feedback theory and official ranking tournament theory in the Chinese context. In particular, it focuses on how prior environmental performance ranking transitions into future …
Gauging the Impacts of Performance Information Disclosure on Citizen Satisfaction
Despite extensive research investigating the link between government performance and citizen satisfaction, our understanding is limited regarding whether and how information disclosure affects this relationship in the digital era. This study bridges this gap by examining the interactive effects of information disclosure and performance information on citizen satisfaction. We argue that information disclosure strengthens the “performance–satisfact…
Measuring the impact of government intervention on the spatial variation of market-oriented urban redevelopment activities in Shenzhen, China
Land revenue and government myopia
Do Authoritarian Governments Respond to Public Opinion on the Environment? Evidence from China
Given its serious impacts on the public's health, air pollution in China is a matter of strong public concern, particularly in reference to malodorous waste gas. Petition letters related to atmospheric pollution accounted for about 40% of the total petition cases. However, scholarly views differ on whether the Chinese government responds to public opinion on the environment and seeks to improve its environmental governance behavior. For this stud…
Prediction of the development of metabolic syndrome by the Markov model based on a longitudinal study in Dalian City
Markov models are suitable for describing and predicting the dynamic development of MetS. The occurrence of MetS most frequently began with dyslipidemia or obesity. Obesity played a predominant role in the development of MetS. Early obesity intervention was extremely important for MetS prevention
Performance Ranking and Environmental Governance
With the deterioration of the environment across the globe, environmental problems have attracted much attention from the public, academia, and governments. This study contributes to the understanding of environmental policy implementation by empirically testing the policy feedback theory and official ranking tournament theory in the Chinese context. In particular, it focuses on how prior environmental performance ranking transitions into future …
Transition patterns of metabolism-weight phenotypes over time
Background: A change in weight or metabolic status is a dynamic process, yet most studies have focused on metabolically healthy obesity (MHO) and the transition between MHO and metabolically unhealthy obesity (MUO); therefore, they have not fully revealed the nature of all possible transitions among metabolism-weight phenotypes over the years. Methods: This was a longitudinal study based on a retrospective health check-up cohort. A total of 9,742…
Influences of stratospheric intrusions to high summer surface ozone over a heavily industrialized region in northern China
The stratospheric contribution to tropospheric ozone has long been a topic of much debate over the past few decades. In this study, we leveraged multiple datasets from surface, sounding and satellite observations to reanalysis datasets, along with a global chemical transport model (Global Nested Air Quality Prediction Modelling System, GNAQPMS) to investigate the impact of a stratospheric-to-tropospheric transport (STT) event characterized by lon…
Effects of local government social media use on citizen compliance during a crisis
Improving citizen compliance is a major goal of public administration, especially during crises. Although social media are widely used by government agencies across the globe, it is still unclear that whether the use of social media can help local governments improve citizen compliance especially during crises. Based on an original daily panel dataset of 189 cities in China during COVID-19, this study provides empirical evidence for the positive …
Disparities of obesity and non-communicable disease burden between the Tibetan Plateau and developed megacities in China
Background Non-communicable diseases (NCDs) including risk factors, e.g., obesity, are the major causes of preventable deaths in China, yet NCD disparities in China remain under-studied. Objective This study aimed to compare the determinants and burden of NCDs within four selected provinces in mainland China: the least developed Qinghai-Tibet Plateau group (PG, Tibetan Autonomous Region [TAR] and Qinghai Province) and most developed megacity grou…
Multi-Type Features Embedded Deep Learning Framework for Residential Building Prediction
Building type prediction is a critical task for urban planning and population estimation. The growing availability of multi-source data presents rich semantic information for building type prediction. However, existing residential building prediction methods have problems with feature extraction and fusion from multi-type data and multi-level interactions between features. To overcome these limitations, we propose a deep learning approach that ta…
Spatiotemporal evolution of aeolian dust in China
Aeolian dust is closely related to land degradation, desertification, and sand and dust storm weather, and is a significant factor influencing the Earth's biogeochemical cycles. Here we present an investigation of the recent synoptic features of atmospheric dust in China and analyze its spatiotemporal change based upon meteorological observation data and satellite products. It shows that aeolian dust frequency in China has decreased gradually fro…
Data Manipulation through Patronage Networks
Data manipulation is considered one of the most pernicious forms of information distortion that challenges the effectiveness of the principals in monitoring agents. This study investigates factors influencing the behaviors of data manipulation from the perspective of patronage networks. Patronage networks feature a reciprocal exchange between patrons who control appealing resources and clients who ask for protection and benefits from the patrons.…
HPV genotypes in invasive cervical cancer
Background: Understanding the HPV genotype distribution in invasive cervical cancer (ICC) is essential for vaccine optimization. This study presents a comprehensive analysis of HPV genotypes in ICC tissues from patients in western China, with the aim of informing regional vaccine policy and prevention strategies. Methods: DNA was extracted from 1,908 paraffin-embedded ICC samples, and 23 HPV genotypes were detected via PCR and reverse dot hybridi…
Significant shift of footprint patterns and pollutant source contributions
As two of the most important products of the combustion process, carbon dioxide (CO 2 ) and carbon monoxide (CO) are commonly used as tracers for combustion source assignment. Their relationship will help to better understand the regional carbon cycle and assess climate forcing effects. In this study, mixing ratios of CO 2 and CO were continuously measured using a Picarro gas concentration analyzer at the Atmospheric Boundary Layer Eco-Environmen…
Measuring the impact of government intervention on the spatial variation of market-oriented urban redevelopment activities in Shenzhen, China
Land revenue and government myopia
Association between creatinine to cystatin C ratio and the incidence of depressive symptoms among middle-aged and older adults
The CCR is inversely associated with the risk of incident DS over 2 years, suggesting that the CCR may serve as a useful biomarker for predicting and managing mental health in middle-aged and older adults
Learning physically interpretable deep networks from reanalysis data for medium-term regional PM 2.5 forecasts
Medium-term regional forecasts of fine particulate matter (PM 2.5 ) are critical to mitigate its hazardous environmental effects. Deep learning (DL) has recently emerged as a promising technique to improve traditional forecasts based on chemistry-transport models (CTMs). However, challenges remain in (1) representing the complex physics of the PM 2.5 pollution processes including the emission, transport, and chemical conversion of the pollutants,…
Cost-effectiveness of chronic obstructive pulmonary disease population screening in China
Despite the underlying uncertainty, annual two-step COPD population screening in China may probably be cost-effective compared with no screening and deserves further large-scale implementation
Validation of measurement of body composition by dual-energy X-ray absorptiometry and bioelectrical impedance analysis and body composition’s profiling in Tibetan’s adults
Objective: We aimed to validate in-body bioelectrical impedance analysis (BIA) measures with dual-energy X-ray absorptiometry (DXA) as reference and describe the body composition (BC) profiling of Tibetan adults. Design: This cross-sectional study included 855 participants (391 men and 464 women). Correlation and Bland–Altman analyses were performed for method agreement of in-body BIA and DXA. BC were described by obesity and metabolic status. Se…
Public attitudes toward state-led urban village rehabilitation in Shenzhen, China
Gauging the Impacts of Performance Information Disclosure on Citizen Satisfaction
Despite extensive research investigating the link between government performance and citizen satisfaction, our understanding is limited regarding whether and how information disclosure affects this relationship in the digital era. This study bridges this gap by examining the interactive effects of information disclosure and performance information on citizen satisfaction. We argue that information disclosure strengthens the “performance–satisfact…
A Window of Opportunity
Data manipulation plagues principals for providing noisy performance data. Yet, it also has pitfalls for agents, which receive relatively little attention in the literature. Due to the performance data manipulated by previous agents, incumbent agents fall into the dilemma regarding whether to continue or curb data manipulation. We argue that to navigate the dilemma, political agents leverage the anti‐corruption opportunity window to curb data man…
Relational Ties and Network Structure
This study analyzes the mechanism of information provider selection during the inter-organizational learning dynamic process, which is essential but lacks attention in public sector learning literature. Based on a dynamic network dataset of field learning of Chinese local governments (2006–2019), we employ temporal exponential random graph model to reveal that inter-organization relationships and endogenous structure jointly drive the information…
China (11 obras) · Geography (9 obras) · Business (8 obras) · Medicine (8 obras) · Political science (7 obras) · Environmental health (6 obras) · Internal Medicine (6 obras) · Computer Science (5 obras) · Economics (5 obras) · Environmental Science (5 obras)