Yuwen Shi
Biographic Data
| ID | 8842283 |
|---|---|
| NAME | Yuwen Shi |
| GIVEN NAMES | Yuwen |
| FAMILY NAME | Shi |
| SIGNATURE | SHI Y |
| AFFILIATIONS | School of Artificial Intelligence Wenzhou Polytechnic Wenzhou Zhejiang China |
| ORCID | 0009-0004-5932-0698 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Grammar training as task-readiness in ESL sentence reading
This study investigates whether a targeted grammar training session enhances English as a second language (ESL) learners’ sentence comprehension, focusing on garden-path sentences as a test of syntactic ambiguity resolution. Chinese ESL learners were assigned to a grammar training group or a control group before completing a self-paced sentence reading experiment. The training session followed a multiple-step progression from simple to complex se…
Building Sustainable Development Capabilities Through Pollution Governance
This study examines how, after adopting digital twins, manufacturing supply chains shape members' decision reconfiguration to strengthen pollution governance and build sustainable development capability. Survey data were collected from manufacturing supply chains in China, and partial least squares structural equation modeling was used to test a decision transformation framework. The results show that digital twins promote shared situational clar…
Analysis on the factors associated with Covid-19 infection among Chinese residents after the implementation of the 10 new rules to optimize Covid-19 response
Introduction: to optimize COVID response. Methods: Participants were recruited using convenience sampling. The study used self-filled questionnaires to examine COVID-19 infection and associated factors among Chinese residents, from December 29, 2022, to January 2, 2023. For the statistical analysis, descriptive and quantitative analyses were used. The potential risk factors for COVID-19 infection were identified by multivariable logistic regressi…
No prominent works on this page.
Analysis on the factors associated with Covid-19 infection among Chinese residents after the implementation of the 10 new rules to optimize Covid-19 response
Introduction: to optimize COVID response. Methods: Participants were recruited using convenience sampling. The study used self-filled questionnaires to examine COVID-19 infection and associated factors among Chinese residents, from December 29, 2022, to January 2, 2023. For the statistical analysis, descriptive and quantitative analyses were used. The potential risk factors for COVID-19 infection were identified by multivariable logistic regressi…
Grammar training as task-readiness in ESL sentence reading
This study investigates whether a targeted grammar training session enhances English as a second language (ESL) learners’ sentence comprehension, focusing on garden-path sentences as a test of syntactic ambiguity resolution. Chinese ESL learners were assigned to a grammar training group or a control group before completing a self-paced sentence reading experiment. The training session followed a multiple-step progression from simple to complex se…
Building Sustainable Development Capabilities Through Pollution Governance
This study examines how, after adopting digital twins, manufacturing supply chains shape members' decision reconfiguration to strengthen pollution governance and build sustainable development capability. Survey data were collected from manufacturing supply chains in China, and partial least squares structural equation modeling was used to test a decision transformation framework. The results show that digital twins promote shared situational clar…
Ambiguity (1 work) · CLARITY (1 work) · Comprehension (1 work) · Control reconfiguration (1 work) · Controllability (1 work) · Corporate governance (1 work) · COVID-19 and Mental Health (1 work) · COVID-19 Clinical Research Studies (1 work) · Cross-sectional study (1 work) · Digital Transformation in Industry (1 work)