Yuyou Yao
Biographic Data
| ID | 7770849 |
|---|---|
| NAME | Yuyou Yao |
| GIVEN NAMES | Yuyou |
| FAMILY NAME | Yao |
| SIGNATURE | YAO Y |
| AFFILIATIONS | Anhui Medical University |
| ORCID | 0000-0002-0197-4486 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A Candidate-Free Location Optimization Framework for Gas Repair Stations Under Stochastic Road Resistance Conditions
Emergency response in urban gas pipeline networks is highly sensitive to stochastic traffic conditions, which introduce substantial uncertainty in crew travel times to leakage sites. Existing facility location models typically rely on predefined candidate sites and deterministic travel assumptions, limiting their ability to capture full-cycle dynamic recovery processes under random leakage events and traffic congestion. This study develops a cand…
Nitrogen dioxide exposure attenuates or even reverses the association between physical activity and fasting plasma glucose levels in non-diabetic elderly Chinese adults
Long-term exposure to NO 2 attenuates or reverses the beneficial effects of PA on FPG levels in non-diabetic older adults. Therefore, further action is imperative to reduce air pollution and thereby enhance the benefits of PA on FPG levels
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Nitrogen dioxide exposure attenuates or even reverses the association between physical activity and fasting plasma glucose levels in non-diabetic elderly Chinese adults
Long-term exposure to NO 2 attenuates or reverses the beneficial effects of PA on FPG levels in non-diabetic older adults. Therefore, further action is imperative to reduce air pollution and thereby enhance the benefits of PA on FPG levels
A Candidate-Free Location Optimization Framework for Gas Repair Stations Under Stochastic Road Resistance Conditions
Emergency response in urban gas pipeline networks is highly sensitive to stochastic traffic conditions, which introduce substantial uncertainty in crew travel times to leakage sites. Existing facility location models typically rely on predefined candidate sites and deterministic travel assumptions, limiting their ability to capture full-cycle dynamic recovery processes under random leakage events and traffic congestion. This study develops a cand…
Adipokines, Inflammation, and Metabolic Diseases (1 work) · Adipose Tissue and Metabolism (1 work) · Biostatistics (1 work) · Cardiovascular Disease and Adiposity (1 work) · Crew (1 work) · Diabetes mellitus (1 work) · Emergency response (1 work) · Endocrinology (1 work) · Epidemiology (1 work) · Facility location problem (1 work)