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The relationship between anode microbial characteristics and electrochemical parameters in microbial fuel cells (MFCs) was analyzed by time-course sampling of parallel single-bottle MFCs operated under identical conditions.
This study examined the association between microbial characteristics and poor outcomes among patients with methicillin-resistant Staphylococcus aureus pneumonia.
The literature is inconsistent regarding the association between microbial characteristics and poor outcomes among patients with methicillin-resistant Staphylococcus aureus (MRSA) pneumonia.
Even though this study was larger than most studies to examine microbial characteristics associated with MRSA pneumonia, this study did not identify any statistically significant associations between the microbial characteristics and outcomes.
This study evaluated a cohort of patients with MRSA pneumonia to assess the association between MRSA microbial characteristics and poor outcomes such as death or increased hospital length of stay (LOS).
Even though the risk estimates suggested an association between a few of the microbial characteristics and death or increased post-infection LOS, the confidence intervals were wide, potentially due to the limited sample size and small number of patients who died.
Similar(54)
The results indicated that SMI could help establish a statistical relationship between state variables and composting microbial characteristics, where discrete and nonlinear complexities exist.
Using this methodology, the average data for each of the four groups of treatments could be assessed relative to their effect on the physicochemical and microbial characteristics of the soil and carrot yield.
The physicochemical and microbial characteristics of the substrates and inoculum as well as the constituent of the generated biogas were evaluated using standard methods and results showed elevated levels of most elements after anaerobic digestion.
Host and microbial characteristics are subject to predictable and unpredictable changes prompted by known, unknown, and random environmental, immunological, and other factors.
We compared the distributions of demographic (age and sex) and microbial characteristics (drug susceptibility, IS 6110 copy number range, genotyping-based clustering, and the major spoligotypes) between PTB and EPTB groups by chi-square analysis.
Related(20)
microbial features and
microbial traits and
biological characteristics and
bacterial characteristics and
antimicrobial characteristics and
microbiologic characteristics and
microbial trait and
microbial communities and
microbial dynamics and
microbial differences and
microbial proteases and
microbial flora and
microbial pathogens and
microbial analyses and
microbial cells and
microbial populations and
microbial agents and
microbial strains and
microbial structures and
microbial behaviour and
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