Non-face-to-face (nF2F) interactions have replaced many face-to-face during the COVID-19 crisis. This has had a significant impact on way clinicians deliver outpatient rheumatology care. In London district general hospital setting, we wished to study of this innovative model care and assess whether nF2F can be blended with in consultations post-COVID-19 era. We aimed …

To my family in China and my wife Yun ACKNOWLEDGEMENTS I wish to thank Prof. Robert Dickinson for advising my thesis and providing support for my PhD study for the past five years. This dissertation would be impossible without his continuous encouragement and support. I am grateful to the support and help from and discussions with Prof. Albany). I also like to thank my current and past group me...

A new nonparametric method to correct model data is proposed. At any given point in space and time the correction is determined from “analogs” in a learning dataset. The learning dataset contains model data and simultaneous observations. The method is applied to the significant wave height dataset of the 45-yr European Centre for Medium-Range Weather Forecasts Re-Analysis (ERA-40). Comparison o...

Data mining is a valuable tool in meteorological applications. Properly selected data mining techniques enable researchers to process and analyze massive amounts of data collected by satellites and other instruments. Large spatial-temporal datasets can be analyzed using different linear and nonlinear methods. The Self-Organizing Map (SOM) is a promising tool for clustering and visualizing high ...