High Pressure X-Ray Diffraction Study of UMn2Ge2

Uranium manganese germanide, UMn2Ge2, crystallizes in body-centered tetragonal ThCr2Si2 structure with space group I4/mmm, a = 3.993A and c = 10.809A under ambient conditions. Energy dispersive X-ray diffraction was used to study the compression behaviour of UMn2Ge2 in a diamond anvil cell. The sample was studied up to static pressure of 26 GPa and a reversible structural phase transition was observed at a pressure of ~ 16.1 GPa. Unit cell parameters were determined up to 12.4 GPa and the calculated cell volumes were found to be well reproduced by a Murnaghan equation of state with K0 = 73.5 GPa and K' = 11.4. The structure of the high pressure phase above 16.0 GPa is quite complicated with very broad lines and could not be unambiguously determined with the available instrument resolution

Analysing the changing landscape of European financial centres: the role of financial products and the case of Amsterdam

The turn of the twenty-first century saw the re-emergence of debates about the reconfiguration of European financial geographies and the role of stock exchange mergers in this process. There has been, however, no systematic attempt to date to analyse such changes. This paper proposes a specific conceptual framework to explore these issues. It uses a product-based analysis to examine, in the context of recent stock exchange mergers, the factors affecting the competitiveness of a financial centre. It argues that it is important to understand three intertwined influences – product complementarities, the nature of local epistemic communities, and regulation – and their contingent effects on change. This is exemplified by a tentative application of the framework to the case of Amsterdam in order to better understand its recent decline in competitiveness as a European financial centre

Program transformations using temporal logic side conditions

This paper describes an approach to program optimisation based on transformations, where temporal logic is used to specify side conditions, and strategies are created which expand the repertoire of transformations and provide a suitable level of abstraction. We demonstrate the power of this approach by developing a set of optimisations using our transformation language and showing how the transformations can be converted into a form which makes it easier to apply them, while maintaining trust in the resulting optimising steps. The approach is illustrated through a transformational case study where we apply several optimisations to a small program