Renyi Liu
Datos Biográficos
| ID | 5870084 |
|---|---|
| NOMBRE | Renyi Liu |
| NOMBRES | Renyi |
| APELLIDO | Liu |
| FIRMA | LIU R |
| AFILIACIONES | Zhejiang University |
| ORCID | 0000-0002-2534-4171 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 11 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 11 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2020 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Macro–micro urban resilience analysis in emergency
Urban agglomeration, a product of advanced urbanization and industrial transformation, plays a critical role in national spatial and economic systems. Urban agglomeration resilience remains underexplored in existing literature, particularly regarding how multi-scale interactions between macro-level network structures and micro-level public perceptions jointly shape regional adaptive capacities during crises. To address this gap, this study propos…
Sedentary behavior and mobile phone use in anxiety, social anxiety, and panic disorder
This two-sample Mendelian randomization (MR) study investigated causal associations of genetic predisposition to sedentary behaviors (television viewing, computer use, driving) and mobile phone use duration with social anxiety/social phobia, an “anxiety, nerves, or generalized anxiety disorder (GAD)” phenotype, and panic attacks. Genome-wide association study (GWAS) summary data were sourced from the IEU OpenGWAS repository, primarily comprising …
From static guidelines to dynamic adaptation
While the benefits of physical activity (PA) during pregnancy are well-established, PA levels remain low. Many countries have introduced maternal PA guidelines. This review synthesizes key recommendations, identifies gaps, and explores best practices for improving public health services and bridging the gap between evidence-based guidelines and real-world implementation. Following the Arksey and O’Malley scoping review framework and adhering to t…
An LLM-Based Inventory Construction Framework of Urban Ground Collapse Events with Spatiotemporal Locations
Historical news media reports serve as a vital data source for understanding the risk of urban ground collapse (UGC) events. At present, the application of large language models (LLMs) offers unprecedented opportunities to effectively extract UGC events and their spatiotemporal information from a vast amount of news reports and media data. Therefore, this study proposes an LLM-based inventory construction framework consisting of three steps: news…
Slbrin
The spatial learned index constructs a spatial index by learning the spatial distribution, which performs a lower cost of storage and query than the spatial indices. The current update strategies of spatial learned indices can only solve limited updates at the cost of query performance. We propose a novel spatial learned index structure based on a Block Range Index (SLBRIN for short). Its core idea is to cooperate history range and current range …
Perception of urban population characteristics through dietary taste patterns based on takeout data
Improving Geographically Weighted Regression Considering Directional Nonstationary for Ground-Level PM2.5 Estimation
The increase in atmospheric pollution dominated by particles with an aerodynamic diameter smaller than 2.5 μm (PM2.5) has become one of the most serious environmental hazards worldwide. The geographically weighted regression (GWR) model is a vital method to estimate the spatial distribution of the ground-level PM2.5 concentration. Wind information reflects the directional dependence of the spatial distribution, which can be abstracted as a combin…
Deep Understanding of Urban Dynamics from Imprint Urban Toponymic Data Using a Spatial–Temporal–Semantic Analysis Approach
Urban land use is constantly changing via human activities. These changes are recorded by imprint data. Traditionally, urban dynamics studies focus on two-dimensional spatiotemporal analysis. Based on our best knowledge, there is no study in the literature that uses imprint data for better understanding urban dynamics. In this research, we propose a spatial–temporal–semantic triple analytical framework to better understand urban dynamics by makin…
Using Geographically Weighted Regression to Study the Seasonal Influence of Potential Risk Factors on the Incidence of HFMD on the Chinese Mainland
Hand, foot, and mouth disease (HFMD) is an epidemic infectious disease in China. Its incidence is affected by a variety of natural environmental and socioeconomic factors, and its transmission has strong seasonal and spatial heterogeneity. To quantify the spatial relationship between the incidence of HFMD (I-HFMD) and eight potential risk factors (temperature, humidity, precipitation, wind speed, air pressure, altitude, child population density, …
Where Urban Youth Work and Live
As a major labor force of cities, young people provide a huge driving force for urban innovation and development, and contribute to urban industrial upgrading and restructuring. In addition, with the acceleration of urbanization in China, the young floating population has increased rapidly, causing over-urbanization and creating certain social problems. It is important to analyze the demand of urban youth and promote their social integration. Wit…
Gsam
Sin obras prominentes en esta página.
Where Urban Youth Work and Live
As a major labor force of cities, young people provide a huge driving force for urban innovation and development, and contribute to urban industrial upgrading and restructuring. In addition, with the acceleration of urbanization in China, the young floating population has increased rapidly, causing over-urbanization and creating certain social problems. It is important to analyze the demand of urban youth and promote their social integration. Wit…
Gsam
Improving Geographically Weighted Regression Considering Directional Nonstationary for Ground-Level PM2.5 Estimation
The increase in atmospheric pollution dominated by particles with an aerodynamic diameter smaller than 2.5 μm (PM2.5) has become one of the most serious environmental hazards worldwide. The geographically weighted regression (GWR) model is a vital method to estimate the spatial distribution of the ground-level PM2.5 concentration. Wind information reflects the directional dependence of the spatial distribution, which can be abstracted as a combin…
Deep Understanding of Urban Dynamics from Imprint Urban Toponymic Data Using a Spatial–Temporal–Semantic Analysis Approach
Urban land use is constantly changing via human activities. These changes are recorded by imprint data. Traditionally, urban dynamics studies focus on two-dimensional spatiotemporal analysis. Based on our best knowledge, there is no study in the literature that uses imprint data for better understanding urban dynamics. In this research, we propose a spatial–temporal–semantic triple analytical framework to better understand urban dynamics by makin…
Using Geographically Weighted Regression to Study the Seasonal Influence of Potential Risk Factors on the Incidence of HFMD on the Chinese Mainland
Hand, foot, and mouth disease (HFMD) is an epidemic infectious disease in China. Its incidence is affected by a variety of natural environmental and socioeconomic factors, and its transmission has strong seasonal and spatial heterogeneity. To quantify the spatial relationship between the incidence of HFMD (I-HFMD) and eight potential risk factors (temperature, humidity, precipitation, wind speed, air pressure, altitude, child population density, …
Perception of urban population characteristics through dietary taste patterns based on takeout data
Slbrin
The spatial learned index constructs a spatial index by learning the spatial distribution, which performs a lower cost of storage and query than the spatial indices. The current update strategies of spatial learned indices can only solve limited updates at the cost of query performance. We propose a novel spatial learned index structure based on a Block Range Index (SLBRIN for short). Its core idea is to cooperate history range and current range …
An LLM-Based Inventory Construction Framework of Urban Ground Collapse Events with Spatiotemporal Locations
Historical news media reports serve as a vital data source for understanding the risk of urban ground collapse (UGC) events. At present, the application of large language models (LLMs) offers unprecedented opportunities to effectively extract UGC events and their spatiotemporal information from a vast amount of news reports and media data. Therefore, this study proposes an LLM-based inventory construction framework consisting of three steps: news…
From static guidelines to dynamic adaptation
While the benefits of physical activity (PA) during pregnancy are well-established, PA levels remain low. Many countries have introduced maternal PA guidelines. This review synthesizes key recommendations, identifies gaps, and explores best practices for improving public health services and bridging the gap between evidence-based guidelines and real-world implementation. Following the Arksey and O’Malley scoping review framework and adhering to t…
Macro–micro urban resilience analysis in emergency
Urban agglomeration, a product of advanced urbanization and industrial transformation, plays a critical role in national spatial and economic systems. Urban agglomeration resilience remains underexplored in existing literature, particularly regarding how multi-scale interactions between macro-level network structures and micro-level public perceptions jointly shape regional adaptive capacities during crises. To address this gap, this study propos…
Sedentary behavior and mobile phone use in anxiety, social anxiety, and panic disorder
This two-sample Mendelian randomization (MR) study investigated causal associations of genetic predisposition to sedentary behaviors (television viewing, computer use, driving) and mobile phone use duration with social anxiety/social phobia, an “anxiety, nerves, or generalized anxiety disorder (GAD)” phenotype, and panic attacks. Genome-wide association study (GWAS) summary data were sourced from the IEU OpenGWAS repository, primarily comprising …
Geography (7 obras) · Computer Science (6 obras) · Human Mobility and Location-Based Analysis (4 obras) · Population (4 obras) · China (3 obras) · Environmental health (3 obras) · Land Use and Ecosystem Services (3 obras) · Mathematics (3 obras) · Business (2 obras) · Cartography (2 obras)