Xiaojing Yao
Biographic Data
| ID | 8154766 |
|---|---|
| NAME | Xiaojing Yao |
| GIVEN NAMES | Xiaojing |
| FAMILY NAME | Yao |
| SIGNATURE | YAO X |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0003-4046-657X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Social Actors in Franklin D. Roosevelt’s Fireside Chat on December 9, 1941
This study examines President Franklin D. Roosevelt’s historic fireside chat on December 9, 1941, through a three-step model for social actor analysis that incorporates the transitivity system and the social context of the time. Beyond merely identifying the social actors in the speech, the research investigates the underlying ideologies and the communicator’s strategic intentions. The analysis uncovers three central social actors: Americans as a…
Brain potentials reveal how emotional arousal affects bilingual language control
A Map Tile Data Access Model Based on the Jump Consistent Hash Algorithm
Tiled maps are one of the key GIS technologies used in the development and construction of WebGIS in the era of big data; there is an urgent need for high-performance tile map services hosted on big data GIS platforms. To address the current inefficiency of massive tile map data management and access, this paper proposes a massive tile map data access model that utilizes the jump consistent hash algorithm. Via the uniformity and consistency of a …
Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China
Diverse urban environmental elements provide health and amenity value for residents. People are willing to pay a premium for a better environment. Thus, it is essential to assess the benefits and values of these environmental elements. However, limited by the interpretability of the machine learning model, existing studies cannot fully excavate the complex nonlinear relationships between housing prices and environmental elements, as well as the s…
No prominent works on this page.
Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China
Diverse urban environmental elements provide health and amenity value for residents. People are willing to pay a premium for a better environment. Thus, it is essential to assess the benefits and values of these environmental elements. However, limited by the interpretability of the machine learning model, existing studies cannot fully excavate the complex nonlinear relationships between housing prices and environmental elements, as well as the s…
A Map Tile Data Access Model Based on the Jump Consistent Hash Algorithm
Tiled maps are one of the key GIS technologies used in the development and construction of WebGIS in the era of big data; there is an urgent need for high-performance tile map services hosted on big data GIS platforms. To address the current inefficiency of massive tile map data management and access, this paper proposes a massive tile map data access model that utilizes the jump consistent hash algorithm. Via the uniformity and consistency of a …
Social Actors in Franklin D. Roosevelt’s Fireside Chat on December 9, 1941
This study examines President Franklin D. Roosevelt’s historic fireside chat on December 9, 1941, through a three-step model for social actor analysis that incorporates the transitivity system and the social context of the time. Beyond merely identifying the social actors in the speech, the research investigates the underlying ideologies and the communicator’s strategic intentions. The analysis uncovers three central social actors: Americans as a…
Brain potentials reveal how emotional arousal affects bilingual language control
Computer Science (3 works) · Economics (2 works) · Agricultural economics (1 work) · Algorithm (1 work) · Amenity (1 work) · American Political and Social Dynamics (1 work) · Arousal (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Big data (1 work)