A5003301738- Traffic control and management
- Transportation Planning and Optimization
- Transportation and Mobility Innovations
- Rheumatoid Arthritis Research and Therapies
- Traffic and Road Safety
- Evacuation and Crowd Dynamics
- Vehicle emissions and performance
- Multiple Myeloma Research and Treatments
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Numerical methods in engineering
- Electromagnetic Scattering and Analysis
- Computational Drug Discovery Methods
- Cancer Mechanisms and Therapy
- Advanced machining processes and optimization
- Spondyloarthritis Studies and Treatments
- Delphi Technique in Research
- Asthma and respiratory diseases
- Peptidase Inhibition and Analysis
- Inflammatory mediators and NSAID effects
- Data Stream Mining Techniques
- Autonomous Vehicle Technology and Safety
- Psoriasis: Treatment and Pathogenesis
- Traffic Prediction and Management Techniques
- Tunneling and Rock Mechanics
- Infrastructure Resilience and Vulnerability Analysis
Huazhong University of Science and Technology
2022-2023
Brigham and Women's Hospital
2022
The First People's Hospital of Zhaoqing
2017
Hohai University
2015
For urban extra-long underwater tunnels, the obstacle space formed by tunnel walls on both sides has an impact driver's driving. The aim of this study is to investigate shy away characteristics drivers in tunnels. Using trajectory offset and speed data obtained from real vehicle tests, driving behaviour at different lanes was investigated, a theory effects indicators sidewall deviation for quantitative analysis were proposed. results show that left-hand lane largest compared other two lanes....
This study is aimed at investigating the resilience degradation caused by traffic accidents and developing relevant optimization strategies. A two-stage accident triangle framework was proposed comparing differences between natural disasters accidents. To maximize system resilience, a network-wide signal model presented. Spillback constraints equilibrium were established to enhance capacity of urban-road networks minimize congestion escalation, in addition rapid recovery. two-level algorithm...
Introduction Chronic obstructive pulmonary disease (COPD) can progress across several domains, complicating the identification of determinants progression. In our previous work, we applied k-means clustering to spirometric and chest radiological measures identify four COPD-related subtypes: ‘relatively resistant smokers (RRS)’, ‘mild upper lobe-predominant emphysema (ULE)’, ‘airway-predominant (AD)’ ‘severe (SE)’. current study, examined associations these subtypes longitudinal health as...
Appropriate deployment of autonomous-vehicle-dedicated lanes (AVDLs) is crucial for optimizing transportation system with mixed human-driven and autonomous vehicles. Existing studies mainly focus on matching the capacity traffic flow volume to maximize throughput under different AV penetration rate, while lane changing scenarios network geometry impacts were ignored. Therefore, lateral locations in optimal expressway cannot be determined. This study developed an analysis framework jointly...
More than one pathway is involved in disease development and progression, two or more pathways may be interconnected to further affect the onset, as functional proteins participate multiple pathways. Thus, identifying cross-talk among necessary understand molecular mechanisms of myeloma (MM). Based on this, this paper looked at extracting potential MM through an integrative approach using Monte Carlo cross-validation analysis. The gene expression library (accession number: GSE6477) was...
With rapidly developing communication and autonomous-driving technology, traffic flow on road networks will change from homogeneous human-driven vehicle (HDV) to heterogeneous mixed (MTF) comprising HDVs, autonomous vehicles (AVs), connective-and-autonomous (CAVs). To understand the changes in MTF of transportation engineering, we investigated reserved capacity (RC) right-of-way (ROW) reallocation policy that should be utilized under scenarios. We established an MTF-based theoretical model...
Given that the pathogenesis of ankylosing spondylitis (AS) remains unclear, aim this study was to detect potentially functional pathway cross-talk in AS further reveal disease. Using microarray profile and biological pathways as objects, Monte Carlo cross-validation method used identify significant cross-talks. In process cross-validation, all steps were iterated 50 times. For each run, detection differentially expressed genes (DEGs) between two groups conducted. The extraction potential...
Connected and autonomous vehicles (CAVs) have attracted wide attention from the traffic engineering community as they are considered promising solutions to congestion. However, a series of challenges dwell on operation CAVs at intersections owing bottleneck road networks, such lack comprehensive optimization models efficient solution algorithms, including platoon strategy, crossing sequence, trajectory planning CAVs. This study proposed an analytical framework comprehensively optimize...