Wenhao Qi
Datos Biográficos
| ID | 7921748 |
|---|---|
| NOMBRE | Wenhao Qi |
| NOMBRES | Wenhao |
| APELLIDO | Qi |
| FIRMA | QI W |
| AFILIACIONES | Jilin Agricultural University |
| ORCID | 0000-0001-9106-7734 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 7 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 7 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2022 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
A study on promoting AI learning and usage behaviors among health management students from the perspective of the “knowledge-belief-action” model
Introduction: The application of Artificial Intelligence (AI) in the field of health management is becoming increasingly widespread, driving health services toward precision, personalization, and intelligence. This study aims to explore the behavior patterns of health management college students in AI learning and device usage. In addition, the study also aims to enhance students' motivation and ability to apply AI by constructing a feedback orie…
A risk prediction system for depression in middle-aged and older adults grounded in machine learning and visualization technology
Introduction: Middle-aged and older adults are highly susceptible to depression. For this reason, early identification and intervention can substantially reduce its prevalence. This study innovatively proposed a visual risk prediction system for depressive symptoms and depression in middle-aged and older adults, rooted in machine learning and visualization technologies. Methods: Using cohort data from the China Health and Retirement Longitudinal …
Development of a visualized risk prediction system for sarcopenia in older adults using machine learning
Introduction: The older adult are at high risk of sarcopenia, making early identification and scientific intervention crucial for healthy aging. Methods: This study utilized data from the China Health and Retirement Longitudinal Study (CHARLS), including a cohort of 2,717 middle-aged and older adult participants. Ten machine learning algorithms, such as CatBoost, XGBoost, and NGBoost, were used to construct predictive models. Results: Among these…
Can Environmental Protection Behavior Enhance Farmers' Subjective Well-Being
The significance of environmental protection activities is well known, but little literature has focused on the well-being effects of environmental protection behavior among farmer groups. This study provides new literature support for farmers and rural development issues. Using data from the 2013 China Integrated Social Survey, a systematic and robust examination of the happiness effects of environmental protection behavior among Chinese farmers…
Can China's New Rural Cooperative Medical System Improve Farmers' Subjective Well-Being
The New Rural Cooperative Medical System (NRCMS) is one of the essential systems for ensuring public health in rural China. This paper investigates the effect of farmers' participation in the NRCMS on their subjective well-being and its mechanisms using data from the Chinese General Social Survey 2017. The results show that farmers' participation in the NRCMS significantly enhances their subjective well-being, and these results remain robust afte…
The evolution of theory of mind on welfare tradeoff ratios
People seem to attribute beliefs and desires to another person when interacting with them. Such a “theory of mind” capacity is essential for complex and uniquely human behavior such as language, but its evolutionary origin remains elusive. Using the formal tools of evolutionary game theory, we asked what environmental properties are necessary to select for a basic form of theory of mind—the ability to infer the prosociality, quantified by the wel…
Sustainable Growth Drivers
In global climate change, improving carbon productivity holds great importance for China's sustainable growth. Based on panel data of 30 Chinese provinces and cities from 1997-2017, the drivers, spatial effects, and convergence characteristics of carbon productivity in China are explored by combining a factor decomposition framework and a spatial panel model. The findings show that (1) China's carbon productivity shows continuous positive growth,…
Sin obras prominentes en esta página.
Can China's New Rural Cooperative Medical System Improve Farmers' Subjective Well-Being
The New Rural Cooperative Medical System (NRCMS) is one of the essential systems for ensuring public health in rural China. This paper investigates the effect of farmers' participation in the NRCMS on their subjective well-being and its mechanisms using data from the Chinese General Social Survey 2017. The results show that farmers' participation in the NRCMS significantly enhances their subjective well-being, and these results remain robust afte…
The evolution of theory of mind on welfare tradeoff ratios
People seem to attribute beliefs and desires to another person when interacting with them. Such a “theory of mind” capacity is essential for complex and uniquely human behavior such as language, but its evolutionary origin remains elusive. Using the formal tools of evolutionary game theory, we asked what environmental properties are necessary to select for a basic form of theory of mind—the ability to infer the prosociality, quantified by the wel…
Sustainable Growth Drivers
In global climate change, improving carbon productivity holds great importance for China's sustainable growth. Based on panel data of 30 Chinese provinces and cities from 1997-2017, the drivers, spatial effects, and convergence characteristics of carbon productivity in China are explored by combining a factor decomposition framework and a spatial panel model. The findings show that (1) China's carbon productivity shows continuous positive growth,…
Can Environmental Protection Behavior Enhance Farmers' Subjective Well-Being
The significance of environmental protection activities is well known, but little literature has focused on the well-being effects of environmental protection behavior among farmer groups. This study provides new literature support for farmers and rural development issues. Using data from the 2013 China Integrated Social Survey, a systematic and robust examination of the happiness effects of environmental protection behavior among Chinese farmers…
A risk prediction system for depression in middle-aged and older adults grounded in machine learning and visualization technology
Introduction: Middle-aged and older adults are highly susceptible to depression. For this reason, early identification and intervention can substantially reduce its prevalence. This study innovatively proposed a visual risk prediction system for depressive symptoms and depression in middle-aged and older adults, rooted in machine learning and visualization technologies. Methods: Using cohort data from the China Health and Retirement Longitudinal …
Development of a visualized risk prediction system for sarcopenia in older adults using machine learning
Introduction: The older adult are at high risk of sarcopenia, making early identification and scientific intervention crucial for healthy aging. Methods: This study utilized data from the China Health and Retirement Longitudinal Study (CHARLS), including a cohort of 2,717 middle-aged and older adult participants. Ten machine learning algorithms, such as CatBoost, XGBoost, and NGBoost, were used to construct predictive models. Results: Among these…
A study on promoting AI learning and usage behaviors among health management students from the perspective of the “knowledge-belief-action” model
Introduction: The application of Artificial Intelligence (AI) in the field of health management is becoming increasingly widespread, driving health services toward precision, personalization, and intelligence. This study aims to explore the behavior patterns of health management college students in AI learning and device usage. In addition, the study also aims to enhance students' motivation and ability to apply AI by constructing a feedback orie…
China (3 obras) · Economics (3 obras) · Medicine (3 obras) · Artificial Intelligence (2 obras) · Business (2 obras) · Cohort (2 obras) · Cohort study (2 obras) · Computer Science (2 obras) · Economic growth (2 obras) · Geography (2 obras)