A5023479665- Coronary Interventions and Diagnostics
- Cerebrovascular and Carotid Artery Diseases
- Cardiovascular Health and Disease Prevention
- Optical Coherence Tomography Applications
- Land Use and Ecosystem Services
- Elasticity and Material Modeling
- Cardiac Imaging and Diagnostics
- Data Management and Algorithms
- Neural Networks and Applications
- Phase Equilibria and Thermodynamics
- Mesoporous Materials and Catalysis
- Intracranial Aneurysms: Treatment and Complications
- Energy, Environment, Economic Growth
- Spatial and Panel Data Analysis
- Traffic Prediction and Management Techniques
- Environmental Impact and Sustainability
- Geographic Information Systems Studies
- Human Mobility and Location-Based Analysis
- Polymer Foaming and Composites
- Venous Thromboembolism Diagnosis and Management
- Transportation Planning and Optimization
- Aortic aneurysm repair treatments
- Time Series Analysis and Forecasting
- Cardiac Valve Diseases and Treatments
- Advanced MRI Techniques and Applications
London South Bank University
2023-2025
First Affiliated Hospital of Hebei Medical University
2025
Queensland University of Technology
2017-2024
Dalian Polytechnic University
2021-2024
University College London
2009-2021
First Affiliated Hospital Zhejiang University
2021
PowerChina (China)
2021
Barts Health NHS Trust
2019
Sichuan University
2018
Chongqing University
2016
Abstract Gold nanoparticles (AuNPs) are promising materials for many bioapplications. However, upon contacting with biological media, AuNPs undergo changes. The interaction proteins results in the so‐called protein corona (PC) around AuNPs, leading to new bioidentity and optical properties. Understanding mechanisms of PC formation its functions can help us utilise benefits avoid drawbacks. To date, most previous works aimed understand governing focused on spherical nanoparticles, although...
Abstract An apparatus to determine the vapor–liquid equilibria of CO 2 /ionic liquid (IL)/organic solvent multisystems and viscosity phase at elevated pressures has been constructed. The solubility in 3‐butyl‐1‐methyl‐imidazolium hexafluorophosphate ([C 4 mim][PF 6 ]) ‐saturated [C ] have studied 313.15, 323.15, 333.15 K up 12.5 MPa. behavior /[C ]/methanol ternary mixture phases equilibrium condition also determined 313.15 7.15 10.00 partition coefficients components system are calculated....
Various statistical model specifications for describing spatiotemporal processes have been proposed over the years, including space–time autoregressive integrated moving average ( STARIMA ) and its various extensions. These assume that correlation in data can be adequately described by parameters are globally fixed spatially and/or temporally. They inadequate cases which correlations among dynamic heterogeneous, such as network data. The aim of this article is to describe autocorrelation...
Accurate and reliable forecasting of traffic variables is one the primary functions Intelligent Transportation Systems. Reliable systems that are able to forecast conditions accurately, multiple time steps into future, required for advanced traveller information systems. However, a difficult task because nonlinear nonstationary properties series. Traditional linear models incapable modelling such properties, typically perform poorly, particularly when differ from norm. Machine learning...
Abstract Forests play a critical role in sustaining the human environment. Most forest fires not only destroy natural environment and ecological balance, but also seriously threaten security of life property. The early discovery forecasting are both urgent necessary for fire control. This article explores possible applications Spatio‐temporal Data Mining prevention. research pays special attention to spatio‐temporal areas based upon historic observations. An integrated framework – ISTFF is...
Iliac Vein Compression Syndrome (IVCS) is a common risk factor for deep vein thrombosis in the lower extremities. The objective of this study was to investigate whether employing porous medium model simulate compressed region an iliac could improve reliability and accuracy Computational Fluid Dynamics (CFD) analysis outcomes IVCS. Pre-operative Computed Tomography (CT) scan images patients with IVCS were utilized reconstruct models illustrating both compression collateral circulation vein. A...
The success or failure of the street network depends on its reliability. In this article, using resilience analysis, author studies how shape and appearance networks in self-organised top-down planned cities influences urban transport. Considering London Beijing as proxies for cities, structural properties first are investigated based their primal dual representations planar graphs. robustness then is evaluated space by deactivating road links under random intentional attack scenarios....
Abstract Computational fluid dynamics (CFD) simulations are increasingly utilised to evaluate intracranial aneurysm (IA) haemodynamics aid in the prediction of morphological changes and rupture risk. However, these models vary differences published results warrant investigation IA-CFD reproducibility. This study aims explore sources intra-team variability determine its impact on morphology CFD parameters. A team four operators were given six sets magnetic resonance angiography data spanning...
A patient-specific carotid bifurcation with tandem stenosis found at both internal artery (ICA) and common (CCA) was studied. The in vivo pre-carotid endarterectomy (CEA) multi-spectral magnetic coherence imaging (MRI) were performed vitro post-CEA plaque tissue sample collected. MR data staining histology used to recognise the components. Further, computational fluid dynamics (CFD) on four MR-based reconstructed 3D models (the geometry three presumptive geometries by removing part), flow...
Detection and characterization of coronary atherosclerotic plaques often need reviews a large number optical coherence tomography (OCT) imaging slices to make clinical decision. However, it is challenge manually review all the consider interrelationship between adjacent slices.
There is a need to develop validated algorithm for plaque characterization which can help facilitate the standardization of optical coherence tomography (OCT) image interpretation morphology, and improve efficiency accuracy in application OCT imaging quantitative assessment vulnerability. In this study, machine learning was implemented atherosclerotic components by intravascular using ex vivo carotid tissue samples. A total 31 patients underwent endarterectomy plaques were imaged with OCT....