897 research outputs found

    Superpixel-guided CFAR Detection of Ships at Sea in SAR Imagery

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    Development Of An Engineered Bioluminescent Reporter Phage For Detection Of Bacterial Blight Of Crucifers

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    Bacterial blight, caused by the phytopathogen Pseudomonas cannabina pv. alisalensis, is an emerging disease afflicting important members of the Brassicaceae family. The disease is often misdiagnosed as pepper spot, a much less severe disease caused by the related pathogen Pseudomonas syringae pv. maculicola. We have developed a phage-based diagnostic that can both identify and detect the causative agent of bacterial blight and differentiate the two pathogens. A recombinant >light>-tagged reporter phage was generated by integrating bacterial luxAB genes encoding luciferase into the genome of P. cannabina pv. alisalensis phage PBSPCA1. The PBSPCA1::luxAB reporter phage is viable and stable and retains properties similar to those of the wildtype phage. PBSPCA1::luxAB rapidly and sensitively detects P. cannabina pv. alisalensis by conferring a bioluminescent signal response to cultured cells. Detection is dependent on cell viability. Other bacterial pathogens of Brassica species such as P. syringae pv. maculicola, Pseudomonas marginalis, Pectobacterium carotovorum, Xanthomonas campestris pv. campestris, and X. campestris pv. raphani either do not produce a response or produce significantly attenuated signals with the reporter phage. Importantly, the reporter phage detects P. cannabina pv. alisalensis on diseased plant specimens, indicating its potential for disease diagnosis.National Science Foundation Small Business Innovative Research 1012059U.S. Department of EducationU.S. Department of AgricultureCellular and Molecular Biolog

    Superpixel-based statistical anomaly detection for sense and avoid

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    Enhanced error-resilient video transport over MIMO systems using multiple descriptions

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    International audienceExpectation Propagation (Minka, 2001) is a widely successful algorithm for variational inference. EP is an iterative algorithm that can be used to approximate complicated distributions, most often posterior distributions arising in Bayesian settings. Its most typical use is to find a Gaussian approximation to posterior distributions, and in many applications of this type, EP performs extremely well. Surprisingly, despite its widespread use, there are very few theoretical guarantees on Gaussian EP.A basic requirement of statistical inference methods is that they should perform well in the limit of infinite data, and here we show that it is indeed the case for EP. In the classical large data limit, where the Bernstein-von Mises theorem applies, we prove that EP is exact, meaning that it recovers the correct Gaussian posterior. We prove further that in the same limit EP behaves like a simpler algorithm we call averaged-EP (aEP), and in turn aEP behaves similarly to the Newton algorithm. This correspondence yields interesting insights into the dynamic behavior of EP, for example that it may diverge under poor initialization, just like the Newton algorithm. EP is a simple algorithm to state, but a difficult one to study. Our results should facilitate further research into the theoretical properties of this important method

    Enhanced error-resilient video transport over MIMO systems using multiple descriptions

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    Energy dependence of {\rm K}S0^0_{\rm S} and hyperon production at CERN SPS

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    Recent results on KS0^0_{\rm S} and hyperon production in Pb-Pb collisions at 40 and 158 AA GeV/cc beam momentum from the NA57 experiment at CERN SPS are presented. Yields and ratios are compared with those measured by the NA49 experiment, where available. The centrality dependence of the yields and a comparison with the higher collision energy data from RHIC are discussed.Comment: 4 pages, 3 figures, proceedings of QM2004 conferenc

    Response to "Toward Unified Satellite Climatology of Aerosol Properties. 3. MODIS Versus MISR Versus AERONET"

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    A recent paper by Mishchenko et al. compares near-coincident MISR, MODIS, and AERONET aerosol optical depth (AOD) products, and reports much poorer agreement than that obtained by the instrument teams and others. We trace the reasons for the discrepancies primarily to differences in (1) the treatment of outliers, (2) the application of absolute vs. relative criteria for testing agreement, and (3) the ways in which seasonally varying spatial distributions of coincident retrievals are taken into account

    Getting It on Record: Issues and Strategies for Ethnographic Practice in Recording Studios

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    The recording studio has been somewhat neglected as a site for ethnographic fieldwork in the field of ethno-musicology and, moreover, the majority of published studies tend to overlook the specific concerns faced by the researcher within these contexts. Music recording studios can be places of creativity, artistry, and collaboration, but they often also involve challenging, intimidating, and fractious relations. Given that recording studios are, first and foremost, concerned with documenting musicians’ performances, we discuss the concerns of getting studio interactions “on record” in terms of access, social relations, and methods of data collection. This article reflects on some of the issues we faced when conducting our fieldwork within British music recording facilities and makes suggestions based on strategies that we employed to address these issues
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