To what extent has research conducted by the GaWC Research Network aided our understanding of large EU law firm geography?

This thesis explores whether a specific group of large EU law firms exhibited multiple common behaviours regarding their EU geographies between 1998 and 2009. These potentially common behaviours included their preferences for trading in certain EU locations, their usage of law firm alliances, and the specific reasons why they opened or closed EU branch offices. If my hypothesis is confirmed, this may indicate that certain aspects of large law firm geography are predictable – a finding potentially of interest to various stakeholders globally, including legal regulators, academics and law firms. In testing my hypothesis, I have drawn on research conducted by the Globalization and World Cities (GaWC) Research Network to assist me. Between 1999 and 2010, the GaWC published seven research papers exploring the geographies of large US and UK law firms. Several of the GaWC’s observations arising from these studies were evidence-based; others were speculative – including a novel approach for explaining legal practice branch office change, not adopted in research conducted previously or subsequently. By distilling the GaWC’s key observations these papers into a series of “sub-hypotheses”, I been able to test whether the geographical behaviours of my novel cohort of large EU law firms reflect those suggested by the GaWC. The more the GaWC’s suggested behaviours are observed among my cohort, the more my hypothesis will be supported. In conducting this exercise, I will additionally evaluate the extent to which the GaWC’s research has aided our understanding of large EU law firm geography. Ultimately, my findings broadly support most of the GaWC’s observations, notwithstanding our cohort differences and the speculative nature of several of the GaWC’s propositions. My investigation has also allowed me to refine several of the GaWC’s observations regarding commonly-observable large law firm geographical behaviours, while also addressing a key omission from the group’s research output.

Feasibility of MR-Based Body Composition Analysis in Large Scale Population Studies

Introduction Quantitative and accurate measurements of fat and muscle in the body are important for prevention and diagnosis of diseases related to obesity and muscle degeneration. Manually segmenting muscle and fat compartments in MR body-images is laborious and time-consuming, hindering implementation in large cohorts. In the present study, the feasibility and success-rate of a Dixon-based MR scan followed by an intensity-normalised, non-rigid, multi-atlas based segmentation was investigated in a cohort of 3,000 subjects. Materials and Methods 3,000 participants in the in-depth phenotyping arm of the UK Biobank imaging study underwent a comprehensive MR examination. All subjects were scanned using a 1.5 T MR-scanner with the dual-echo Dixon Vibe protocol, covering neck to knees. Subjects were scanned with six slabs in supine position, without localizer. Automated body composition analysis was performed using the AMRA Profiler™ system, to segment and quantify visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue (ASAT) and thigh muscles. Technical quality assurance was performed and a standard set of acceptance/rejection criteria was established. Descriptive statistics were calculated for all volume measurements and quality assurance metrics. Results Of the 3,000 subjects, 2,995 (99.83%) were analysable for body fat, 2,828 (94.27%) were analysable when body fat and one thigh was included, and 2,775 (92.50%) were fully analysable for body fat and both thigh muscles. Reasons for not being able to analyse datasets were mainly due to missing slabs in the acquisition, or patient positioned so that large parts of the volume was outside of the field-of-view. Discussion and Conclusions In conclusion, this study showed that the rapid UK Biobank MR-protocol was well tolerated by most subjects and sufficiently robust to achieve very high success-rate for body composition analysis. This research has been conducted using the UK Biobank Resource.