Tian Gan
Biographic Data
| ID | 4169848 |
|---|---|
| NAME | Tian Gan |
| GIVEN NAMES | Tian |
| FAMILY NAME | Gan |
| SIGNATURE | GAN T |
| AFFILIATIONS | Tongji University |
| ORCID | 0009-0003-8462-7539 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Family status predicts emotional well-being in later life
The emotional well-being of older adults is a critical global concern amid population aging and low fertility rates. This study first explored the relationship between family status (number of children, living arrangement) and emotional well-being among older Chinese adults and investigated the mediating role of intergenerational emotional support. Data from the 2018 Chinese Longitudinal Healthy Longevity Survey (n = 6,164, aged ≥ 65 years) were …
The mechanisms beneath the urban buffer against depression
A spatiotemporal knowledge graph-based method for identifying individual activity locations from mobile phone data
Causal discovery from city data, where urban scaling meets information theory
Psychological and Brain Responses to Artificial Intelligence’s Violation of Community Ethics
Human moral reactions to artificial intelligence (AI) agents’ behavior constitute an important aspect of modern-day human–AI relationships. Although previous studies have mainly focused on autonomy ethics, this study investigates how individuals judge AI agents’ violations of community ethics (including betrayals and subversions) compared with human violations. Participants’ behavioral responses, event-related potentials (ERPs), and individual di…
The impact of industrial robots on export stability
The application of industrial robots has emerged as a significant influencing factor on international trade. Based on product export stability data from 49 major exporting countries and corresponding industrial robot application data between 2010 and 2019, this study investigates the impact and mechanisms of industrial robot application on export stability in these countries. The findings demonstrate that the application of industrial robots enha…
Automated Multi-View Multi-Modal Assessment of Covid-19 Patients Using Reciprocal Attention and Biomedical Transform
Automated severity assessment of coronavirus disease 2019 (COVID-19) patients can help rationally allocate medical resources and improve patients' survival rates. The existing methods conduct severity assessment tasks mainly on a unitary modal and single view, which is appropriate to exclude potential interactive information. To tackle the problem, in this paper, we propose a multi-view multi-modal model to automatically assess the severity of CO…
Intracity Pandemic Risk Evaluation Using Mobile Phone Data
The coronavirus disease 2019 (COVID-19) pandemic has provided an opportunity to rethink the development of a sustainable and resilient city. A framework for comprehensive intracity pandemic risk evaluation using mobile phone data is proposed in this study. Four steps were included in the framework: identification of high-risk groups, calculation of dynamic population flow and construction of a human mobility network, exposure and transmission ris…
Between Independence and Absorption
NGO s are faced with the dilemma of action logic in participating in poverty alleviation at the grass-roots level: if they do not embed into local areas, they cannot carry out activities; if they embed too deeply, they will be molded in reverse and cannot realize successful exits. So what action logic will NGO s take in the process of poverty alleviation? Through field observation of H organization which participated in the poverty alleviation pr…
Exciting the Right Temporo-Parietal Junction with Transcranial Direct Current Stimulation Influences Moral Intention Processing
摘要: 对行为意图的理解是人类进行道德判断的重要依据, 大量研究表明, 右侧颞顶联合区是意图加工的关键脑区。为考察该脑区在道德判断中的重要作用, 采用经颅直流电刺激技术阳极刺激右侧颞顶联合区, 探讨促进该脑区的活动对被试在道德判断中意图及相关信息加工的影响。结果发现与假刺激条件相比, 阳极刺激后道德判断反应时显著延长, 在伤人未遂和意外伤人条件下差异显著, 证明促进右侧颞顶联合区的激活能影响道德判断中的意图加工, 尤其在意图与结果产生冲突的条件下效应更加显著
No prominent works on this page.
Exciting the Right Temporo-Parietal Junction with Transcranial Direct Current Stimulation Influences Moral Intention Processing
摘要: 对行为意图的理解是人类进行道德判断的重要依据, 大量研究表明, 右侧颞顶联合区是意图加工的关键脑区。为考察该脑区在道德判断中的重要作用, 采用经颅直流电刺激技术阳极刺激右侧颞顶联合区, 探讨促进该脑区的活动对被试在道德判断中意图及相关信息加工的影响。结果发现与假刺激条件相比, 阳极刺激后道德判断反应时显著延长, 在伤人未遂和意外伤人条件下差异显著, 证明促进右侧颞顶联合区的激活能影响道德判断中的意图加工, 尤其在意图与结果产生冲突的条件下效应更加显著
Between Independence and Absorption
NGO s are faced with the dilemma of action logic in participating in poverty alleviation at the grass-roots level: if they do not embed into local areas, they cannot carry out activities; if they embed too deeply, they will be molded in reverse and cannot realize successful exits. So what action logic will NGO s take in the process of poverty alleviation? Through field observation of H organization which participated in the poverty alleviation pr…
Intracity Pandemic Risk Evaluation Using Mobile Phone Data
The coronavirus disease 2019 (COVID-19) pandemic has provided an opportunity to rethink the development of a sustainable and resilient city. A framework for comprehensive intracity pandemic risk evaluation using mobile phone data is proposed in this study. Four steps were included in the framework: identification of high-risk groups, calculation of dynamic population flow and construction of a human mobility network, exposure and transmission ris…
Automated Multi-View Multi-Modal Assessment of Covid-19 Patients Using Reciprocal Attention and Biomedical Transform
Automated severity assessment of coronavirus disease 2019 (COVID-19) patients can help rationally allocate medical resources and improve patients' survival rates. The existing methods conduct severity assessment tasks mainly on a unitary modal and single view, which is appropriate to exclude potential interactive information. To tackle the problem, in this paper, we propose a multi-view multi-modal model to automatically assess the severity of CO…
Psychological and Brain Responses to Artificial Intelligence’s Violation of Community Ethics
Human moral reactions to artificial intelligence (AI) agents’ behavior constitute an important aspect of modern-day human–AI relationships. Although previous studies have mainly focused on autonomy ethics, this study investigates how individuals judge AI agents’ violations of community ethics (including betrayals and subversions) compared with human violations. Participants’ behavioral responses, event-related potentials (ERPs), and individual di…
The impact of industrial robots on export stability
The application of industrial robots has emerged as a significant influencing factor on international trade. Based on product export stability data from 49 major exporting countries and corresponding industrial robot application data between 2010 and 2019, this study investigates the impact and mechanisms of industrial robot application on export stability in these countries. The findings demonstrate that the application of industrial robots enha…
A spatiotemporal knowledge graph-based method for identifying individual activity locations from mobile phone data
Causal discovery from city data, where urban scaling meets information theory
Family status predicts emotional well-being in later life
The emotional well-being of older adults is a critical global concern amid population aging and low fertility rates. This study first explored the relationship between family status (number of children, living arrangement) and emotional well-being among older Chinese adults and investigated the mediating role of intergenerational emotional support. Data from the 2018 Chinese Longitudinal Healthy Longevity Survey (n = 6,164, aged ≥ 65 years) were …
The mechanisms beneath the urban buffer against depression
Computer Science (5 works) · Artificial Intelligence (4 works) · Data-Driven Disease Surveillance (3 works) · Human Mobility and Location-Based Analysis (3 works) · Psychology (3 works) · Sociology (3 works) · Business (2 works) · Data mining (2 works) · Data science (2 works) · Disease (2 works)