In this talk I describe the resolution to unique isotropy type of the smooth action of a compact Lie group as contained in joint work with Pierre Albin, [2], [3]. The resulting ‘resolution tower’ leads to resolved and reduced models for equivariant cohomology, including the delocalized cohomology of Baum, Brylinski and MacPherson, and K-theory. Combining these constructions with a lifting map g...

Note: The background and methods related to this project and a comparison of all Australian jurisdictions, along with a short summary for Western Australia, are contained in the following journal article: Newman L, F Baum & E Harris (2006), ‘Federal, State and Territory government responses to health inequities and the social determinants of health in Australia’, Health Promotion Journal of Aus...

C. OGLE Department of Mathematics, Ohio State University, Columbus, 0H43210, U.S.A. (Received: March 1992) Abstraet. Following Connes and Moscovici, we show that the Baum-Connes assembly map for K,(C~*n) is rationally injective when n is word-hyperbolic, implying the Equivariant Novikov conjecture for such groups. Using this result in topological K-theory and BoreI-Karoubi regulators, we also s...

BACKGROUND The Walking Estimated-Limitation Calculated by History (WELCH) questionnaire has been proposed to evaluate walking impairment in patients with intermittent claudication (IC), presenting satisfactory psychometric properties. However, a Brazilian Portuguese version of the questionnaire is unavailable, limiting its application in Brazilian patients. OBJECTIVE To analyze the psychometr...

Field Programmable Gate Array (FPGA) technology has become a viable target for the implementation of algorithms in different compression methods applications. In a distributed environment, large data files remain a major bottleneck. Compression is an important component of the solutions available for creating file sizes of manageable and transmittable dimensions. When high-speed media or channe...

Continuous-state hidden Markov models (CS-HMMs) are developed as a tool for signal classification. Analogs of the Baum, Viterbi, and Baum–Welch algorithms are formulated for this class of models. The CS-HMM algorithms are then specialized to hidden Gauss–Markov models (HGMMs) with linear Gaussian state-transition and output densities. A new Gaussian refactorization lemma is used to show that th...