A5009791880- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Impact of Light on Environment and Health
- Scientific Computing and Data Management
- Diverse Aspects of Tourism Research
- Single-cell and spatial transcriptomics
- Land Use and Ecosystem Services
- Urban, Neighborhood, and Segregation Studies
- Transportation and Mobility Innovations
- Complex Network Analysis Techniques
- COVID-19 epidemiological studies
- Traffic Prediction and Management Techniques
- CAR-T cell therapy research
- Sharing Economy and Platforms
- Urban Green Space and Health
- Urinary Tract Infections Management
- Data Management and Algorithms
- Acute Lymphoblastic Leukemia research
- Distributed and Parallel Computing Systems
- Web Data Mining and Analysis
- Genomics and Chromatin Dynamics
- Environmental Monitoring and Data Management
- Antibiotic Resistance in Bacteria
- Simulation Techniques and Applications
China Agricultural University
2025
Sichuan University
2025
St. Jude Children's Research Hospital
2022-2024
Hong Kong Polytechnic University
2018-2024
University of Calgary
2001-2024
Guangzhou Medical University
2023-2024
University of Tennessee at Knoxville
2014-2024
Harbin Engineering University
2024
Shenzhen Polytechnic
2019-2024
Occupational Cancer Research Centre
2024
Understanding urban functions and their relationships with human activities has great implications for smart sustainable development. In this study, we present a novel approach to uncovering by aggregating inferred from mobile phone positioning social media data. First, the homes workplaces (of travelers) are estimated data annotate conducted at these locations. The remaining (such as shopping, schooling, transportation, recreation entertainment) labeled using hidden Markov model knowledge...
In recent years, call detail records (CDRs) have been widely used in human mobility research. Although CDRs are originally collected for billing purposes, the vast amount of digital footprints generated by calling and texting activities provide useful insights into population movement. However, can we fully trust given uneven distribution people's phone communication space time? this article, investigate issue using a mobile location dataset from over one million subscribers Shanghai, China....
Activity space is an important concept in geography. Recent advancements of location-aware technologies have generated many useful spatiotemporal data sets for studying human activity lar...
The current pandemic of coronavirus disease 2019 (COVID-19) has affected >160 million individuals to date, and caused millions deaths worldwide, at least in part due the unclarified pathophysiology this disease. Identifying underlying molecular mechanisms COVID-19 is critical overcome pandemic. Metabolites mirror progression an individual can provide extensive insights into their pathophysiological significance each stage We a comprehensive view metabolic characterisation sera from...
Leukemia can arise at various stages of the hematopoietic differentiation hierarchy, but impact developmental arrest on drug sensitivity is unclear. Applying network-based analyses to single-cell transcriptomes human B cells, we define genome-wide signaling circuitry for each cell stage. Using this reference, comprehensively map states acute lymphoblastic leukemia (B-ALL), revealing its strong correlation with asparaginase, a commonly used chemotherapeutic agent. Single-cell multi-omics...
Our knowledge of how cities bring together different social classes is still limited. Much effort has been devoted to investigating residential segregation, mostly over well-defined groups (e.g. race). Little known mobility and human communications affect urban integration. The dynamics spatial social-network segregation individual variations along these two dimensions are largely untapped. In this article, we put forward a computational framework based on coupling large-scale information...
The authors have withdrawn their manuscript whilst they perform additional experiments to test some of conclusions further. Therefore, the do not wish this work be cited as reference for project. If you any questions, please contact corresponding author.
Abstract Rheumatoid arthritis (RA) is an autoimmune disease. Early studies hold opinion that gut microbiota environmentally acquired and associated with RA susceptibility. However, accumulating evidence demonstrates genetics also shape the microbiota. It known some strains of inbred laboratory mice are highly susceptible to collagen-induced (CIA), while others resistant CIA. Here, we show transplantation fecal CIA-resistant C57BL/6J CIA-susceptible DBA/1J confer CIA resistance in mice....
Investigating human mobility patterns can help researchers and agencies understand the driving forces of movement, with potential benefits for urban planning traffic management. Recent advances in location-aware technologies have provided many new data sources (e.g., mobile phone social media data) studying space-time behavioral regularity. Although existing studies utilized these datasets to characterize from various aspects, such as predicting monitoring dynamics, few focused on...
Recent urban transformations have led to critical reflections on the blighted infrastructures and called for re-stimulating vital places. Especially, metro has been recognized as backbone infrastructure mobility associated economy agglomeration. To date, limited research devoted investigating relationship between vitality built environment in mega-cities empirically. This paper presents a multisource data-driven approach quantify vibrancy its association with underlying environment. Massive...
Bike-sharing systems have made notable contributions to cities by providing green and sustainable mobility service users. Over the years, many studies been conducted understand or anticipate usage of these systems, with hope inform their future developments. One important task is accurately predict patterns systems. Although deep learning algorithms developed in recent years support travel demand forecast, they mainly used traffic volume speed on roadways. Few applied them bike-sharing...