Gao Y
Biographic Data
| ID | 9246236 |
|---|---|
| NAME | Gao Y |
| GIVEN NAMES | Y |
| FAMILY NAME | Gao |
| SIGNATURE | Y G |
| AFFILIATIONS | Peking University |
| ORCID | 0000-0003-2059-3168 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2027 |
| H-INDEX | 0 |
Mechanistic insights into Cistanche deserticola aqueous extract in alleviating functional constipation
Structural Foundation of AI-Driven Digital Innovation and ESG Performance
The integration of artificial intelligence (AI) into business operations is a critical driver of digital innovation and a firm’s ESG performance. This study examines the impact of AI on digital innovation and ESG performance within the Turkish service and manufacturing sectors, with a focus on underrepresented groups, including women and immigrants. This study uses structural equation modeling (SEM) to examine how AI influences ESG performance th…
A driver eco-driving evaluation method considering traffic-scenario complexity
Exploration and practice of AI-enabled smart caregiver-free ward with traditional Chinese medicine characteristics
Background and purpose: Integrating artificial intelligence (AI), with Traditional Chinese Medicine (TCM) principles remains a key challenge for digitalized hospital advancement. This study aims to systematically elaborate on the practical pathway, technological architecture, and preliminary outcomes of establishing smart TCM-characterized, caregiver-free wards at the Guangming New Campus of Shenzhen Traditional Chinese Medicine Hospital, thereby…
A comparative analysis of traditional Chinese medicine health management services in Urban versus rural areas of Chongqing
Background: Traditional Chinese medicine (TCM) health management plays an increasingly important role in China's public health system, particularly in community-based and geriatric care. However, significant disparities between urban and rural areas have emerged during the implementation of related policies. TCM services in many cities face multiple challenges at the grassroots, including a shortage of qualified TCM professionals, uneven distribu…
Preparedness of Chinese nurses for emerging infectious diseases
Background Emerging infectious diseases (EIDs) continue to pose recurrent challenges to global health systems. Nurses, as frontline healthcare professionals, play a pivotal role in early detection, infection control, and patient management. Mpox (monkeypox) outbreaks provide a real-world stress test for evaluating nurses’ preparedness for EIDs. This study assessed Chinese nurses’ knowledge and attitudes toward Mpox and examined training- and prof…
Disease burden, influencing factors and trend-based surveillance of needlestick injuries among healthcare workers
Background: Needlestick injuries (NSIs) remain a leading occupational hazard among healthcare workers (HCWs), carrying substantial health and economic burdens. High-throughput procedural settings are particularly vulnerable, yet evidence on setting-specific interventions' effects and durability under healthcare system volatility remains limited. Existing surveillance systems for NSIs struggle to distinguish genuine risk escalation from clinical w…
Disruption of winter influenza activity in Wuxi, China during and after the Covid-19 pandemic (2013–2025)
Background: The COVID-19 pandemic and associated non-pharmaceutical interventions (NPIs) altered the circulation of respiratory viruses, and influenza activity declined worldwide during 2020-2022. However, the magnitude of these disruptions and their post-pandemic effects on epidemic dynamics remain insufficiently characterized. Methods: We analyzed weekly influenza surveillance data from 2013 to 2025 in Wuxi, eastern China. We constructed a comp…
Conjoint association of gestational diabetes mellitus and hypertensive disorders of pregnancy with long-term risk of mortality
Background: Gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDPs) are common maternal complications. We sought to evaluate the independent and joint association of GDM and HDPs with all-cause, premature, and cause-specific mortality. Methods: We used data from the UK Biobank, which included 220 953 women who reported at least one live birth. Individual and joint associations of GDM and HDPs with all-cause, premature, …
Valuing, displaying, and legitimizing language in the linguistic landscape of Hurghada’s tourism-commercial field
This study examines the shop-sign landscape of Hurghada’s tourism-commercial field to investigate how languages are distributed, visually organised, and socially legitimised in a tourism-oriented marketplace. Drawing on Bourdieu’s framework of cultural capital, it adopts a sequential multi-method design that combines a distributional analysis of 1,293 shop signs, a qualitative visual analysis of representative signs, and semi-structured interview…
Navigating Tensions in Challenging Contexts
Integrating values into English as a Foreign Language (EFL) teaching presents significant challenges for educators, especially in non‐Anglophone contexts. Despite the growing emphasis on value‐based instruction (VBI) in national education policies, limited understanding exists of how university EFL teachers perceive and emotionally respond to these ideological demands in practice. Drawing on cognitive‐appraisal theory and an ecological perspectiv…
GWRBoost
Spatial processes are fundamental to understanding complex patterns and dynamics across diverse systems but remain challenging to model due to the competing demands of predictive accuracy and interpretability. Traditional spatial regression techniques such as geographically weighted regression (GWR) provide interpretable, location-specific coefficients yet systematically underfit complex, high-dimensional, and nonlinear spatial relationships prev…
No prominent works on this page.
Structural Foundation of AI-Driven Digital Innovation and ESG Performance
The integration of artificial intelligence (AI) into business operations is a critical driver of digital innovation and a firm’s ESG performance. This study examines the impact of AI on digital innovation and ESG performance within the Turkish service and manufacturing sectors, with a focus on underrepresented groups, including women and immigrants. This study uses structural equation modeling (SEM) to examine how AI influences ESG performance th…
A driver eco-driving evaluation method considering traffic-scenario complexity
Exploration and practice of AI-enabled smart caregiver-free ward with traditional Chinese medicine characteristics
Background and purpose: Integrating artificial intelligence (AI), with Traditional Chinese Medicine (TCM) principles remains a key challenge for digitalized hospital advancement. This study aims to systematically elaborate on the practical pathway, technological architecture, and preliminary outcomes of establishing smart TCM-characterized, caregiver-free wards at the Guangming New Campus of Shenzhen Traditional Chinese Medicine Hospital, thereby…
A comparative analysis of traditional Chinese medicine health management services in Urban versus rural areas of Chongqing
Background: Traditional Chinese medicine (TCM) health management plays an increasingly important role in China's public health system, particularly in community-based and geriatric care. However, significant disparities between urban and rural areas have emerged during the implementation of related policies. TCM services in many cities face multiple challenges at the grassroots, including a shortage of qualified TCM professionals, uneven distribu…
Preparedness of Chinese nurses for emerging infectious diseases
Background Emerging infectious diseases (EIDs) continue to pose recurrent challenges to global health systems. Nurses, as frontline healthcare professionals, play a pivotal role in early detection, infection control, and patient management. Mpox (monkeypox) outbreaks provide a real-world stress test for evaluating nurses’ preparedness for EIDs. This study assessed Chinese nurses’ knowledge and attitudes toward Mpox and examined training- and prof…
Disease burden, influencing factors and trend-based surveillance of needlestick injuries among healthcare workers
Background: Needlestick injuries (NSIs) remain a leading occupational hazard among healthcare workers (HCWs), carrying substantial health and economic burdens. High-throughput procedural settings are particularly vulnerable, yet evidence on setting-specific interventions' effects and durability under healthcare system volatility remains limited. Existing surveillance systems for NSIs struggle to distinguish genuine risk escalation from clinical w…
Disruption of winter influenza activity in Wuxi, China during and after the Covid-19 pandemic (2013–2025)
Background: The COVID-19 pandemic and associated non-pharmaceutical interventions (NPIs) altered the circulation of respiratory viruses, and influenza activity declined worldwide during 2020-2022. However, the magnitude of these disruptions and their post-pandemic effects on epidemic dynamics remain insufficiently characterized. Methods: We analyzed weekly influenza surveillance data from 2013 to 2025 in Wuxi, eastern China. We constructed a comp…
Conjoint association of gestational diabetes mellitus and hypertensive disorders of pregnancy with long-term risk of mortality
Background: Gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDPs) are common maternal complications. We sought to evaluate the independent and joint association of GDM and HDPs with all-cause, premature, and cause-specific mortality. Methods: We used data from the UK Biobank, which included 220 953 women who reported at least one live birth. Individual and joint associations of GDM and HDPs with all-cause, premature, …
Valuing, displaying, and legitimizing language in the linguistic landscape of Hurghada’s tourism-commercial field
This study examines the shop-sign landscape of Hurghada’s tourism-commercial field to investigate how languages are distributed, visually organised, and socially legitimised in a tourism-oriented marketplace. Drawing on Bourdieu’s framework of cultural capital, it adopts a sequential multi-method design that combines a distributional analysis of 1,293 shop signs, a qualitative visual analysis of representative signs, and semi-structured interview…
Navigating Tensions in Challenging Contexts
Integrating values into English as a Foreign Language (EFL) teaching presents significant challenges for educators, especially in non‐Anglophone contexts. Despite the growing emphasis on value‐based instruction (VBI) in national education policies, limited understanding exists of how university EFL teachers perceive and emotionally respond to these ideological demands in practice. Drawing on cognitive‐appraisal theory and an ecological perspectiv…
GWRBoost
Spatial processes are fundamental to understanding complex patterns and dynamics across diverse systems but remain challenging to model due to the competing demands of predictive accuracy and interpretability. Traditional spatial regression techniques such as geographically weighted regression (GWR) provide interpretable, location-specific coefficients yet systematically underfit complex, high-dimensional, and nonlinear spatial relationships prev…
Mechanistic insights into Cistanche deserticola aqueous extract in alleviating functional constipation
Health care (4 works) · Psychological intervention (2 works) · Traditional Chinese Medicine Studies (2 works) · Advanced Graph Neural Networks (1 works) · AI in Service Interactions (1 works) · Aqueous extract (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Bayesian Modeling and Causal Inference (1 works) · Biological activity (1 works) · Cohort study (1 works)