Kai Zheng
Datos Biográficos
| ID | 3892590 |
|---|---|
| NOMBRE | Kai Zheng |
| NOMBRES | Kai |
| APELLIDO | Zheng |
| FIRMA | ZHENG K |
| AFILIACIONES | University of California, Irvine |
| ORCID | 0000-0003-4121-4948 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 22 |
| TOTAL DE CITAS | 1 |
| TOTAL COMO AUTOR | 22 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2016 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 1 |
Impact of digital economy on residents’ medical cost
Introduction: This study aims to investigate the impact of the digital economy on residents' medical expenditure, and the underlying causes. Methods: Utilizing panel data from 30 provinces in China spanning 2017 to 2021, we employed time-fixed effects models, mediation models, and panel threshold models to analyze the influence of the digital economy on residents' medical expenditure. Results: Research findings showed that the well-developed digi…
Preparing a technologically savvy public health workforce
Background To realize the potential of using information technology (IT) and data to inform public health, it is critical that the US dedicates resources to preparing a robust workforce skilled in leveraging IT, informatics, and data science towards the advancement of public health. In the wake of the COVID-19 pandemic, several innovative educational partnerships have emerged to fulfill this mission. In this paper, we present indicators of the su…
Impact of Adverse Childhood Experiences (ACEs) on Mental Health Help-Seeking Among Asian American Adults
Cumulative adverse childhood experiences (ACEs) and psychological distress have been shown to negatively affect mental health across the lifespan. Less is known, however, about how ACEs might impact mental health help-seeking behavior in adulthood, especially among Asian Americans, a population with high exposure to trauma who also face cultural barriers to mental health care. The study’s aim was to evaluate the prevalence of ACEs within a sample…
Mitigation and Physical Activity Behaviors Among School‐Aged Children During the Sars ‐ CoV ‐2 Pandemic
BACKGROUND: The COVID-19 pandemic closed schools to in-person learning across the United States, resulting in unintended increases in sedentary behavior among children. Individual states maintained different mitigation policies, potentially affecting activity behaviors. This study examined student mitigation behavior and sedentary time during school in one Arizona and one California county once schools reopened. METHODS: Physical distancing, mask…
Association of life’s essential 8 with depressive symptoms in US cardiovascular disease survivors
A higher LE8 score was linked to a reduced likelihood of clinically significant depression in US adults with CVD. These findings suggested that maintaining optimal cardiovascular health may help prevent depressive symptoms in this specific population
Association between the rule of law and health-related sustainable development goals
In the context of ongoing global challenges, such as pandemics, climate change, and armed conflicts, the achievement of Sustainable Development Goal 3 (SDG 3) is confronted with multiple risks. Effectively addressing these challenges has become a pivotal issue in global health governance. This study seeks to analyze the association between the rule of law (ROL) and health-related Sustainable Development Goals (SDGs). A cross-sectional ecological …
Computational Ethnography
Finding the best predictive model for hypertensive depression in older adults based on machine learning and metabolomics research
Altered metabolites and metabolic pathways are present in older adults with hypertension combined with depression. Methods using metabolomics and machine learning performed quite well in predicting depression in hypertensive older adults, contributing to further clinical research
Association of urinary chlorpyrifos, paraquat, and cyproconazole levels with the severity of fatty liver based on MRI
The present findings indicate urinary chlorpyrifos and paraquat were positively correlated with the severity of fatty liver. Moreover, urinary chlorpyrifos and paraquat have the potential to be considered as the predictors for development of FLD. Thus, this study may provide a new perspective from the environmental factors for the diagnosis, prevention, and treatment of FLD
Substantial uncertainties in global soil organic carbon simulated by multiple terrestrial carbon cycle models
Soil organic carbon (SOC) is critical to the terrestrial ecosystem carbon cycle and global climate change. The carbon cycle model coupled with microbial processes can improve the projection of SOC. However, it remains unclear whether microbial models are superior to multiple terrestrial carbon cycle models and how large the simulation uncertainties of SOC are. Therefore, we simulate the spatial patterns of global SOC by the MIMICS (explicit nonli…
Risk Perception, Perceived Government Coping Validity, and Individual Response in the Early Stage of the Covid-19 Pandemic in China
As a major crisis event, the COVID-19 pandemic has affected the global economy, threatened the lives of the public, and caused varying degrees of impact on the public. Previous studies have shown that risk perception and government response had different impacts on the public, but they revealed more about the independent impact of risk perception and government response on the public. This study will comprehensively consider the impacts of these …
Religion, Social Resources, and International Migrants' Volunteer Participation
A large body of research has explored various factors influencing volunteer participation, particularly revealing the association between religious beliefs and volunteer engagement. However, there was relatively limited research on volunteer participation among international immigrants in China, a newly emerging immigrant country. Further investigation was needed to identify the factors influencing the volunteer engagement of international immigr…
Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions
Cloud and Snow Segmentation in Satellite Images Using an Encoder–Decoder Deep Convolutional Neural Networks
The segmentation of cloud and snow in satellite images is a key step for subsequent image analysis, interpretation, and other applications. In this paper, a cloud and snow segmentation method based on a deep convolutional neural network (DCNN) with enhanced encoder–decoder architecture—ED-CNN—is proposed. In this method, the atrous spatial pyramid pooling (ASPP) module is used to enhance the encoder, while the decoder is enhanced with the fusion …
Monitoring Vegetation Greenness in Response to Climate Variation along the Elevation Gradient in the Three-River Source Region of China
The Three-River Source Region (TRSR) is vital to the ecological security of China. However, the impact of global warming on the dynamics of vegetation along the elevation gradient in the TRSR remains unclear. Accordingly, we used multi-source remote sensing vegetation indices (VIs) (GIMMS (Global Inventory Modeling and Mapping Studies) LAI (Leaf Area Index), GIMMS NDVI (Normalized Difference Vegetation Index), GLOBMAP (Global Mapping) LAI, MODIS …
Changes in soil carbon and nitrogen stocks following degradation of alpine grasslands on the Qinghai‐Tibetan Plateau
Until now, nearly 90% of alpine grasslands on the Qinghai‐Tibetan Plateau (QTP) have been degraded. However, there is currently no consensus on how soil organic carbon (SOC) and soil total nitrogen (STN) stocks vary with the degradation succession of alpine grasslands in this region. Here, a meta‐analysis was conducted to quantify the dynamics of SOC and STN stocks in topsoil (0–30 cm) at different degradation stages of alpine grasslands on the Q…
Privacy paradox in mHealth applications
Ventilation in worker dormitories and its impact on the spread of respiratory droplets
Mental illness, problem, disorder, distress
The Metaphysics of Philosophical Daoism
Drawing on evidence from a wide range of classical Chinese texts, this book argues that xingershangxue, the study of "beyond form", constitutes the core argument and intellectual foundation of Daoist philosophy. The author presents Daoist xingershangxue as a typical concept of metaphysics distinct from that of the natural philosophy and metaphysics of ancient Greece since it focusses on understanding the world beyond perceivable objects and pheno…
Dry mist systems and its impact on thermal comfort for the tropics
Anti-influenza virus effects of crude phenylethanoid glycosides isolated from ligustrum purpurascens via inducing endogenous interferon-γ
Religion, Social Resources, and International Migrants' Volunteer Participation
A large body of research has explored various factors influencing volunteer participation, particularly revealing the association between religious beliefs and volunteer engagement. However, there was relatively limited research on volunteer participation among international immigrants in China, a newly emerging immigrant country. Further investigation was needed to identify the factors influencing the volunteer engagement of international immigr…
Anti-influenza virus effects of crude phenylethanoid glycosides isolated from ligustrum purpurascens via inducing endogenous interferon-γ
Dry mist systems and its impact on thermal comfort for the tropics
The Metaphysics of Philosophical Daoism
Drawing on evidence from a wide range of classical Chinese texts, this book argues that xingershangxue, the study of "beyond form", constitutes the core argument and intellectual foundation of Daoist philosophy. The author presents Daoist xingershangxue as a typical concept of metaphysics distinct from that of the natural philosophy and metaphysics of ancient Greece since it focusses on understanding the world beyond perceivable objects and pheno…
Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions
Cloud and Snow Segmentation in Satellite Images Using an Encoder–Decoder Deep Convolutional Neural Networks
The segmentation of cloud and snow in satellite images is a key step for subsequent image analysis, interpretation, and other applications. In this paper, a cloud and snow segmentation method based on a deep convolutional neural network (DCNN) with enhanced encoder–decoder architecture—ED-CNN—is proposed. In this method, the atrous spatial pyramid pooling (ASPP) module is used to enhance the encoder, while the decoder is enhanced with the fusion …
Monitoring Vegetation Greenness in Response to Climate Variation along the Elevation Gradient in the Three-River Source Region of China
The Three-River Source Region (TRSR) is vital to the ecological security of China. However, the impact of global warming on the dynamics of vegetation along the elevation gradient in the TRSR remains unclear. Accordingly, we used multi-source remote sensing vegetation indices (VIs) (GIMMS (Global Inventory Modeling and Mapping Studies) LAI (Leaf Area Index), GIMMS NDVI (Normalized Difference Vegetation Index), GLOBMAP (Global Mapping) LAI, MODIS …
Changes in soil carbon and nitrogen stocks following degradation of alpine grasslands on the Qinghai‐Tibetan Plateau
Until now, nearly 90% of alpine grasslands on the Qinghai‐Tibetan Plateau (QTP) have been degraded. However, there is currently no consensus on how soil organic carbon (SOC) and soil total nitrogen (STN) stocks vary with the degradation succession of alpine grasslands in this region. Here, a meta‐analysis was conducted to quantify the dynamics of SOC and STN stocks in topsoil (0–30 cm) at different degradation stages of alpine grasslands on the Q…
Privacy paradox in mHealth applications
Ventilation in worker dormitories and its impact on the spread of respiratory droplets
Mental illness, problem, disorder, distress
Substantial uncertainties in global soil organic carbon simulated by multiple terrestrial carbon cycle models
Soil organic carbon (SOC) is critical to the terrestrial ecosystem carbon cycle and global climate change. The carbon cycle model coupled with microbial processes can improve the projection of SOC. However, it remains unclear whether microbial models are superior to multiple terrestrial carbon cycle models and how large the simulation uncertainties of SOC are. Therefore, we simulate the spatial patterns of global SOC by the MIMICS (explicit nonli…
Risk Perception, Perceived Government Coping Validity, and Individual Response in the Early Stage of the Covid-19 Pandemic in China
As a major crisis event, the COVID-19 pandemic has affected the global economy, threatened the lives of the public, and caused varying degrees of impact on the public. Previous studies have shown that risk perception and government response had different impacts on the public, but they revealed more about the independent impact of risk perception and government response on the public. This study will comprehensively consider the impacts of these …
Religion, Social Resources, and International Migrants' Volunteer Participation
A large body of research has explored various factors influencing volunteer participation, particularly revealing the association between religious beliefs and volunteer engagement. However, there was relatively limited research on volunteer participation among international immigrants in China, a newly emerging immigrant country. Further investigation was needed to identify the factors influencing the volunteer engagement of international immigr…
Computational Ethnography
Finding the best predictive model for hypertensive depression in older adults based on machine learning and metabolomics research
Altered metabolites and metabolic pathways are present in older adults with hypertension combined with depression. Methods using metabolomics and machine learning performed quite well in predicting depression in hypertensive older adults, contributing to further clinical research
Association of urinary chlorpyrifos, paraquat, and cyproconazole levels with the severity of fatty liver based on MRI
The present findings indicate urinary chlorpyrifos and paraquat were positively correlated with the severity of fatty liver. Moreover, urinary chlorpyrifos and paraquat have the potential to be considered as the predictors for development of FLD. Thus, this study may provide a new perspective from the environmental factors for the diagnosis, prevention, and treatment of FLD
Mitigation and Physical Activity Behaviors Among School‐Aged Children During the Sars ‐ CoV ‐2 Pandemic
BACKGROUND: The COVID-19 pandemic closed schools to in-person learning across the United States, resulting in unintended increases in sedentary behavior among children. Individual states maintained different mitigation policies, potentially affecting activity behaviors. This study examined student mitigation behavior and sedentary time during school in one Arizona and one California county once schools reopened. METHODS: Physical distancing, mask…
Association of life’s essential 8 with depressive symptoms in US cardiovascular disease survivors
A higher LE8 score was linked to a reduced likelihood of clinically significant depression in US adults with CVD. These findings suggested that maintaining optimal cardiovascular health may help prevent depressive symptoms in this specific population
Association between the rule of law and health-related sustainable development goals
In the context of ongoing global challenges, such as pandemics, climate change, and armed conflicts, the achievement of Sustainable Development Goal 3 (SDG 3) is confronted with multiple risks. Effectively addressing these challenges has become a pivotal issue in global health governance. This study seeks to analyze the association between the rule of law (ROL) and health-related Sustainable Development Goals (SDGs). A cross-sectional ecological …
Impact of digital economy on residents’ medical cost
Introduction: This study aims to investigate the impact of the digital economy on residents' medical expenditure, and the underlying causes. Methods: Utilizing panel data from 30 provinces in China spanning 2017 to 2021, we employed time-fixed effects models, mediation models, and panel threshold models to analyze the influence of the digital economy on residents' medical expenditure. Results: Research findings showed that the well-developed digi…
Preparing a technologically savvy public health workforce
Background To realize the potential of using information technology (IT) and data to inform public health, it is critical that the US dedicates resources to preparing a robust workforce skilled in leveraging IT, informatics, and data science towards the advancement of public health. In the wake of the COVID-19 pandemic, several innovative educational partnerships have emerged to fulfill this mission. In this paper, we present indicators of the su…
Impact of Adverse Childhood Experiences (ACEs) on Mental Health Help-Seeking Among Asian American Adults
Cumulative adverse childhood experiences (ACEs) and psychological distress have been shown to negatively affect mental health across the lifespan. Less is known, however, about how ACEs might impact mental health help-seeking behavior in adulthood, especially among Asian Americans, a population with high exposure to trauma who also face cultural barriers to mental health care. The study’s aim was to evaluate the prevalence of ACEs within a sample…
Psychology (6 obras) · Biology (5 obras) · Computer Science (5 obras) · Environmental Science (5 obras) · Medicine (5 obras) · Geography (4 obras) · Geology (4 obras) · Disease (3 obras) · Ecology (3 obras) · Internal Medicine (3 obras)