Analgesics:a comparison of therapeutic knowledge and inter-professional liaison between general practitioners and community pharmacists

The aim of this study was to ascertain general practitioners' (GPs') and pharmacists' knowledge of analgesics, to establish professional opinion on their use, and to assess the extent of pharmacist input into the prescribing of analgesics. Pharmacists displayed a better knowledge of analgesics than their colleagues in general practice, but had little input into the prescribing decisions made by GPs. Pharmacists' knowledge is not being put to best use in contributing to the preparation of practice formularies, and links between these two health professional groups need to be developed further.

Real-time GPU color-based segmentation of football players

In this paper, we propose a multi-camera application capable of processing high resolution images and extracting features based on colors patterns over graphic processing units (GPU). The goal is to work in real time under the uncontrolled environment of a sport event like a football match. Since football players are composed for diverse and complex color patterns, a Gaussian Mixture Models (GMM) is applied as segmentation paradigm, in order to analyze sport live images and video. Optimization techniques have also been applied over the C++ implementation using profiling tools focused on high performance. Time consuming tasks were implemented over NVIDIA's CUDA platform, and later restructured and enhanced, speeding up the whole process significantly. Our resulting code is around 4-11 times faster on a low cost GPU than a highly optimized C++ version on a central processing unit (CPU) over the same data. Real time has been obtained processing until 64 frames per second. An important conclusion derived from our study is the scalability of the application to the number of cores on the GPU. © 2011 Springer-Verlag.