5 resultados para Mycobacterium avium subsp. paratuberculosis (MAP)

em WestminsterResearch - UK


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A simple but effective technique to improve the performance of the Max-Log-MAP algorithm is to scale the extrinsic information exchanged between two MAP decoders. A comprehensive analysis of the selection of the scaling factors according to channel conditions and decoding iterations is presented in this paper. Choosing a constant scaling factor for all SNRs and iterations is compared with the best scaling factor selection for changing channel conditions and decoding iterations. It is observed that a constant scaling factor for all channel conditions and decoding iterations is the best solution and provides a 0.2-0.4 dB gain over the standard Max- Log-MAP algorithm. Therefore, a constant scaling factor should be chosen for the best compromise.

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The iterative nature of turbo-decoding algorithms increases their complexity compare to conventional FEC decoding algorithms. Two iterative decoding algorithms, Soft-Output-Viterbi Algorithm (SOVA) and Maximum A posteriori Probability (MAP) Algorithm require complex decoding operations over several iteration cycles. So, for real-time implementation of turbo codes, reducing the decoder complexity while preserving bit-error-rate (BER) performance is an important design consideration. In this chapter, a modification to the Max-Log-MAP algorithm is presented. This modification is to scale the extrinsic information exchange between the constituent decoders. The remainder of this chapter is organized as follows: An overview of the turbo encoding and decoding processes, the MAP algorithm and its simplified versions the Log-MAP and Max-Log-MAP algorithms are presented in section 1. The extrinsic information scaling is introduced, simulation results are presented, and the performance of different methods to choose the best scaling factor is discussed in Section 2. Section 3 discusses trends and applications of turbo coding from the perspective of wireless applications.

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Today, PCR using broad-range primers is being used increasingly to detect pathogens from resected heart valves. Herein is described the first case of multivalve infective endocarditis where 16S rDNA PCR was used to detect a single pathogen from two affected valves in a 61-year-old man. Triple heart valve replacement was required despite six weeks of appropriate antimicrobial therapy. The organism was confirmed as Streptococcus gallolyticus subsp. macedonicus, a member of the 'S. equinus/S. bovis' complex. To date, only one report has been made of human infection due to this organism. This may be due to the limited resolution of the routine diagnostic methods used and/or as a consequence of the complex nomenclature associated with this group of organisms.

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A recent study characterizing bacteriophage populations within human caecal effluent demonstrated the presence of numerous Podoviridae, Siphoviridae and Myoviridae within this material (Hoyles et al., 2014, Res Microbiol 165, 803–812). Further to this work, anaerobic bacteria were isolated on fastidious anaerobe agar from the caecal effluent of a healthy 31-year-old woman. Ten colonies were selected at random, streaked to purity and screened against the remaining caecal effluent (filter-sterilized, 0.45 μm pore size) in an attempt to isolate lytic bacteriophages. Bacteriophages within the effluent [2×105 ± 2.65×103 (n=3) pfu/ml] were active against five of the isolates, all identified by 16S rRNA gene sequence analysis as Klebsiella pneumoniae. One of the five isolates, L4-FAA5, was characterized further and found to be K. pneumoniae subsp. pneumoniae capsule type K2 rmpA+, and was used to propagate a bacteriophage (which we named KLPN1) to purity. Bacteriophage KLPN1 was a member of the Siphoviridae with a rosette-like tail tip and exhibited depolymerase activity, demonstrated by the formation of plaque-surrounding haloes that increased in size over the course of incubation. When screened against a panel of 21 clinical strains representing unknown K. pneumoniae subsp. pneumoniae capsule types and types K1, K2, K5, K20, K54 and K57, KLPN1 infected only K2 strains, but did not exhibit depolymerase activity against these. Whole-genome sequence analysis of KLPN1 showed the bacteriophage to have a genome of 49,037 bp (50.53 GC mol%) comprising 73 predicted ORFs, of which 22 encoded genes associated with structure, host recognition, packaging, DNA replication and cell lysis. The host recognition-associated gene was a potential depolymerase. This is the first report of the isolation of a bacterium–bacteriophage combination from the human caecum, and only the third member of the Siphoviridae known to infect K. pneumoniae subsp. pneumoniae.

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A sample of caecal effluent was obtained from a female patient who had undergone a routine colonoscopic examination. Bacteria were isolated anaerobically from the sample, and screened against the remaining filtered caecal effluent in an attempt to isolate bacteriophages (phages). A lytic phage, named KLPN1, was isolated on a strain identified as Klebsiella pneumoniae subsp. pneumoniae (capsular type K2, rmpA+). This Siphoviridae phage presents a rosette-like tail tip and exhibits depolymerase activity, as demonstrated by the formation of plaque-surrounding haloes that increased in size over the course of incubation. When screened against a panel of clinical isolates of K. pneumoniae subsp. pneumoniae, phage KLPN1 was shown to infect and lyse capsular type K2 strains, though it did not exhibit depolymerase activity on such hosts. The genome of KLPN1 was determined to be 49,037 bp (50.53 %GC) in length, encompassing 73 predicted ORFs, of which 23 represented genes associated with structure, host recognition, packaging, DNA replication and cell lysis. On the basis of sequence analyses, phages KLPN1 (GenBank: KR262148) and 1513 (a member of the family Siphoviridae, GenBank: KP658157) were found to be two new members of the genus “Kp36likevirus”.