Among patients with unstable angina or myocardial infarction without ST-segment elevation, prasugrel did not significantly reduce the frequency of the primary end point, as compared with clopidogrel, and similar risks of bleeding were observed. (Funded by Eli Lilly and Daiichi Sankyo; TRILOGY ACS ClinicalTrials.gov number, NCT00699998.).

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In 1997, total petroleum hydrocarbon (TPH) remediation started at a former Air Force Base, which operated from 1940 to 1991. TPH had been released to soil and groundwater at the site by military activities. The TPH was 70% jet fuel and the affected area covered 28 ha. Remediation involved a combination of technologies, including removal of volatile organic compounds using soil vapor extraction and air sparging, free product vacuum recovery and aerobic biodegradation of organics with oxygen supplied by the air sparging system, along with nutrient addition. The primary remedial method was found to be biodegradation, which has removed 93% of the contaminants from the site to date. A significant aspect of the remedial action was performance monitoring, including documentation of remediation efficiency. The goal of the research was to assess the relative accuracy of methods commonly used for monitoring in situ TPH remediation. Two such methods were selected for the research: monitoring change in soil TPH concentration (specified as nonpolar extractable substances) and monitoring respiration activity in soil with a subsequent stoichiometric mass balance to estimate the mass of TPH destroyed. The study demonstrated that both of the methods provided comparable results regarding the effectiveness of in situ TPH remediation, despite the fact that their methodologies are very different.

This paper deals with a procedure that recognizes common defects occurring in woven fabric. Images of woven fabric are considered as having a directional texture due to their periodical nature. We used a statistical approach based on the analysis of periodicity of texture images in horizontal and vertical directions. These periodicities correspond to the periodicity of second-order grey level statistical features obtained from a grey level co-occurrence matrix. A set of five significant features is extracted from the matrix: energy, correlation, homogeneity, cluster shade and cluster prominence. The presence of a defect over texture causes regular structure changes and consequently, statistical changes. Detection algorithm is based on the sliding window technique; the window is moved over the whole image area. We counted the test statistic for every window and the multivariate control charts are used as a tool for judging the existence of defects. The results show that the statistical approach is suitable for detection of directional defects or changes in regular structure in analysed simulated and real fabrics.

The problem of approximating by a circle of measured data points, registered by RICH detector is considered. The situation is formulated in terms of the Bayesian estimation problem, the solution is based on the MetropolisHastings algorithm. IntroductionTile problem of recognition of circles in observed noisy planar data on RICH (Ring Imaging CHerenkov)detector is considered. RICH having the discrete cell structure register the energy dissipation produced by a passing elementary particle not in a single point, but in several adjacent cells where all this energy is distributed. The method which is used up to now consists of two steps: in the first one the centres of photon hits are estimated with the aid of a clustering procedure, the second step fits rings to these centres (Agakichiev et al., 1996). Both steps were combined to one robust procedure in Chernov et al. (1995). The simplest (and not too reliable) method uses weighted averaging, with the advantage that it can be employed also for on-line computations. As regards an off-line analysis, a number of different techniques (including methods of pattern recognition) can be considered.We have explored an application of the MCMC method. The problem is is formulated as a problem of Bayesian estimation of multivariate parameter in the framework of a probabilistic model of the physical phenomenon. The distribution of observed data is rather complicated, for instance it includes a distribution of points of hits and this distribution should be integrated out.The paper is organized as follows: First, properties of Metropolis-Hastings MCMC algorithm are recalled. Then the performance of Cherenkov photons detector RICH is described. Finally, the method for off-line analysis of Cherenkov rings is presented.