2,663 research outputs found

    Review Article: A trends of Salmonella and antibiotic resistance

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    Salmonellosis has become a major problem in developed and developing countries. It also represents an important public health concern worldwide.  As such, due to intense interest Salmonella research has gained great concern from scientific communities as well as the general public.  The purpose of this review is to discuss the historical perspective, classification and nomenclature, antibiotic and antimicrobial definition, mechanism of antibiotic resistance, integrons and antibiotic resistance Salmonella

    Review Article: A trends of Salmonella and antibiotic resistance

    Get PDF
    Salmonellosis has become a major problem in developed and developing countries. It also represents an important public health concern worldwide.  As such, due to intense interest Salmonella research has gained great concern from scientific communities as well as the general public.  The purpose of this review is to discuss the historical perspective, classification and nomenclature, antibiotic and antimicrobial definition, mechanism of antibiotic resistance, integrons and antibiotic resistance Salmonella

    Fast and Efficient Compressive Sensing using Structurally Random Matrices

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    This paper introduces a new framework of fast and efficient sensing matrices for practical compressive sensing, called Structurally Random Matrix (SRM). In the proposed framework, we pre-randomize a sensing signal by scrambling its samples or flipping its sample signs and then fast-transform the randomized samples and finally, subsample the transform coefficients as the final sensing measurements. SRM is highly relevant for large-scale, real-time compressive sensing applications as it has fast computation and supports block-based processing. In addition, we can show that SRM has theoretical sensing performance comparable with that of completely random sensing matrices. Numerical simulation results verify the validity of the theory as well as illustrate the promising potentials of the proposed sensing framework
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