Tan Wang
Biographic Data
| ID | 3961792 |
|---|---|
| NAME | Tan Wang |
| GIVEN NAMES | Tan |
| FAMILY NAME | Wang |
| SIGNATURE | WANG T |
| AFFILIATIONS | Jilin University |
| ORCID | 0000-0002-7048-9046 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Can halving income tax improve the quality of export products in small and micro enterprises?
Guiqi Yishen granule alleviates obstructive nephropathy-induced renal fibrosis by targeting PI3K/AKT signaling pathway
ETHNOPHARMACOLOGICAL RELEVANCE: Guiqi Yishen granule (GQYSG), a traditional Chinese medicine with a well-documented history in managing kidney diseases such as IgA nephropathy and diabetic nephropathy, has emerged as a potential therapeutic option for Obstructive nephropathy (ON). AIM OF THE STUDY: Obstructive nephropathy (ON) ranks as the third leading cause of CKD, yet effective treatments remain limited. This study aims to explore the therapeu…
Modeling Digital Personality
Digital human in cyberspace can help provide humanized services in specific applications, such as question & answer systems, recommender systems, chatter robots, and intelligent assistants. While most researches focus on behavior analytics, few of them integrate the personality that is also a closely related factor. As a classic indicator for personality representation, Myers–Briggs type indicator (MBTI) categorizes an individual into mutually ex…
A New Perspective for Computational Social Systems
The evolution of modern mobile terminals, social networks, and other intelligent services makes everyone become a ubiquitous information perceiver, producer, and propagator. Also known as “social sensor” and “social IoT,” these individuals and communities generate a huge volume of social signals, which has shown prominent value for mining. These unstructured social signals provide a new perspective in the research of complex systems, which makes …
Impact of Social Participation Types on Depression in the Elderly in China
Objectives: Depression is the leading cause of ill health and disability worldwide, and has become one of the key issues in the public health sector. Social participation is one of the most important measures to support the rapidly aging population and can reduce the risk of depression in the elderly. This study aims to explore the causal relationship between different types of social participation and depression in the elderly, and reduce the le…
Gender differences in the relationships between work-to-family conflict and satisfaction among dual-earner spouses
The study explores how gender affects the relationships linking work-to-family conflict to job and life satisfaction among dual-earner spouses. Data were collected from 157 paired Chinese managers and their spouses. Our findings supported a pattern of gender asymmetry in both the within-person effect and the crossover effect. For the within-person effect, we found the relationship between work-to-family conflict and job satisfaction was negative …
Prediction of Mental Health in Medical Workers During Covid-19 Based on Machine Learning
Mental health prediction is one of the most essential parts of reducing the probability of serious mental illness. Meanwhile, mental health prediction can provide a theoretical basis for public health department to work out psychological intervention plans for medical workers. The purpose of this paper is to predict mental health of medical workers based on machine learning by 32 factors. We collected the 32 factors of 5,108 Chinese medical worke…
Gender differences in the relationships between work-to-family conflict and satisfaction among dual-earner spouses
The study explores how gender affects the relationships linking work-to-family conflict to job and life satisfaction among dual-earner spouses. Data were collected from 157 paired Chinese managers and their spouses. Our findings supported a pattern of gender asymmetry in both the within-person effect and the crossover effect. For the within-person effect, we found the relationship between work-to-family conflict and job satisfaction was negative …
Prediction of Mental Health in Medical Workers During Covid-19 Based on Machine Learning
Mental health prediction is one of the most essential parts of reducing the probability of serious mental illness. Meanwhile, mental health prediction can provide a theoretical basis for public health department to work out psychological intervention plans for medical workers. The purpose of this paper is to predict mental health of medical workers based on machine learning by 32 factors. We collected the 32 factors of 5,108 Chinese medical worke…
Impact of Social Participation Types on Depression in the Elderly in China
Objectives: Depression is the leading cause of ill health and disability worldwide, and has become one of the key issues in the public health sector. Social participation is one of the most important measures to support the rapidly aging population and can reduce the risk of depression in the elderly. This study aims to explore the causal relationship between different types of social participation and depression in the elderly, and reduce the le…
Gender differences in the relationships between work-to-family conflict and satisfaction among dual-earner spouses
The study explores how gender affects the relationships linking work-to-family conflict to job and life satisfaction among dual-earner spouses. Data were collected from 157 paired Chinese managers and their spouses. Our findings supported a pattern of gender asymmetry in both the within-person effect and the crossover effect. For the within-person effect, we found the relationship between work-to-family conflict and job satisfaction was negative …
Modeling Digital Personality
Digital human in cyberspace can help provide humanized services in specific applications, such as question & answer systems, recommender systems, chatter robots, and intelligent assistants. While most researches focus on behavior analytics, few of them integrate the personality that is also a closely related factor. As a classic indicator for personality representation, Myers–Briggs type indicator (MBTI) categorizes an individual into mutually ex…
A New Perspective for Computational Social Systems
The evolution of modern mobile terminals, social networks, and other intelligent services makes everyone become a ubiquitous information perceiver, producer, and propagator. Also known as “social sensor” and “social IoT,” these individuals and communities generate a huge volume of social signals, which has shown prominent value for mining. These unstructured social signals provide a new perspective in the research of complex systems, which makes …
Can halving income tax improve the quality of export products in small and micro enterprises?
Guiqi Yishen granule alleviates obstructive nephropathy-induced renal fibrosis by targeting PI3K/AKT signaling pathway
ETHNOPHARMACOLOGICAL RELEVANCE: Guiqi Yishen granule (GQYSG), a traditional Chinese medicine with a well-documented history in managing kidney diseases such as IgA nephropathy and diabetic nephropathy, has emerged as a potential therapeutic option for Obstructive nephropathy (ON). AIM OF THE STUDY: Obstructive nephropathy (ON) ranks as the third leading cause of CKD, yet effective treatments remain limited. This study aims to explore the therapeu…
Psychology (4 works) · Artificial Intelligence (3 works) · Computer Science (3 works) · Fuzzy logic (2 works) · Machine learning (2 works) · Medicine (2 works) · Mental Health Research Topics (2 works) · Social Psychology (2 works) · Artificial neural network (1 work) · Big data (1 work)