L N Wang
Biographic Data
| ID | 7543716 |
|---|---|
| NAME | L N Wang |
| GIVEN NAMES | L N |
| FAMILY NAME | Wang |
| SIGNATURE | WANG L N |
| AFFILIATIONS | Pingdingshan University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predictors of fertility preservation awareness and willingness among college students and the general population in Henan, China
Background Fertility preservation (FP) enables individuals to maintain future reproductive potential, yet population-level data on FP awareness and willingness remain limited in inland China. Previous studies have been largely descriptive without quantifying the population-level impact of modifiable determinants. This study identified independent predictors of FP awareness and willingness among college students and the general population in Henan…
Facing the future with AI
Although artificial intelligence (AI) is transforming work, little is known about how college students psychologically prepare for AI-induced career uncertainty. Existing research has emphasized digital skills and self-efficacy, while overlooking cognitive risk perceptions and adaptive psychological resources. To address this gap, this study examines how AI risk perception and growth mindset shape career readiness, with career adaptability as a m…
Urban Architectural Style Recognition and Dataset Construction Method under Deep Learning of Street View Images
The visual quality and spatial distribution of architectural styles represent a city’s image, influence inhabitants’ living conditions, and may have positive or negative social consequences which are critical to urban sensing and designing. Conventional methods of identifying architectural styles rely on human labor and are frequently time-consuming, inefficient, and subjective in judgment. These issues significantly affect the large-scale manage…
No prominent works on this page.
Urban Architectural Style Recognition and Dataset Construction Method under Deep Learning of Street View Images
The visual quality and spatial distribution of architectural styles represent a city’s image, influence inhabitants’ living conditions, and may have positive or negative social consequences which are critical to urban sensing and designing. Conventional methods of identifying architectural styles rely on human labor and are frequently time-consuming, inefficient, and subjective in judgment. These issues significantly affect the large-scale manage…
Predictors of fertility preservation awareness and willingness among college students and the general population in Henan, China
Background Fertility preservation (FP) enables individuals to maintain future reproductive potential, yet population-level data on FP awareness and willingness remain limited in inland China. Previous studies have been largely descriptive without quantifying the population-level impact of modifiable determinants. This study identified independent predictors of FP awareness and willingness among college students and the general population in Henan…
Facing the future with AI
Although artificial intelligence (AI) is transforming work, little is known about how college students psychologically prepare for AI-induced career uncertainty. Existing research has emphasized digital skills and self-efficacy, while overlooking cognitive risk perceptions and adaptive psychological resources. To address this gap, this study examines how AI risk perception and growth mindset shape career readiness, with career adaptability as a m…
Adaptability (1 work) · Architectural engineering (1 work) · Architectural style (1 work) · Architecture (1 work) · Artificial Intelligence (1 work) · Career development (1 work) · Career Development and Diversity (1 work) · Cartography (1 work) · Cognition (1 work) · Computer Science (1 work)