Results 201 to 210 of about 57,276 (230)
Emergence of KPC new variants (KPC-16 and KPC-17) and ongoing outbreak in southern Taiwan [PDF]
We first describe two novel variants of blaKPC, blaKPC-16 and blaKPC-17, which were identified in three Klebsiella pneumoniae isolates from a patient in Taiwan.
Hung-Jen Tang, Y -C Chuang, M-C Chang
exaly +5 more sources
Management of KPC-producing Klebsiella pneumoniae infections
Background: Klebsiella pneumoniae carbapenemase (KPC)-producing K. pneumoniae (KPC-KP) has become one of the most important contemporary pathogens, especially in endemic areas.
Francesco Giuseppe de Rosa +2 more
exaly +2 more sources
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First Report of KPC-2 and KPC-3-Producing Enterobacteriaceae in Wild Birds in Africa
Microbial Ecology, 2019The increased incidence of antibiotic-resistant Enterobacteriaceae is a public health problem worldwide. The aim of this study was to analyze the potential role of wild birds, given their capacity of migrating over long distances, in the spreading of carbapenemase, extended-spectrum β-lactamase (ESBL), and acquired-AmpC beta-lactamase-producing ...
Houssem Ben Yahia +8 more
openaire +2 more sources
Journal of Antimicrobial Chemotherapy
Abstract Background Klebsiella pneumoniae producing KPC variants conferring resistance to ceftazidime–avibactam often remain susceptible to meropenem, suggesting a potential therapeutic use of this antibiotic. Objectives In this study,
Jesus G M Pariona +9 more
openaire +2 more sources
Abstract Background Klebsiella pneumoniae producing KPC variants conferring resistance to ceftazidime–avibactam often remain susceptible to meropenem, suggesting a potential therapeutic use of this antibiotic. Objectives In this study,
Jesus G M Pariona +9 more
openaire +2 more sources
ACM SIGMETRICS Performance Evaluation Review, 2008
We present the KPC-Toolbox, a set of MATLAB scripts for fitting workload traces into Markovian Arrival Processes (MAPs) in an automatic way. Given that the MAP parameterization space can be very large, we focus on first determining the order of the smallest MAP that can fit the trace well using the Bayesian Information Criterion (
Eddy Z. Zhang +2 more
openaire +2 more sources
We present the KPC-Toolbox, a set of MATLAB scripts for fitting workload traces into Markovian Arrival Processes (MAPs) in an automatic way. Given that the MAP parameterization space can be very large, we focus on first determining the order of the smallest MAP that can fit the trace well using the Bayesian Information Criterion (
Eddy Z. Zhang +2 more
openaire +2 more sources

