Understanding the colonization of Pseudomonas aeruginosa (P. aeruginosa) in healthy humans is useful for future prevention and treatment of P. aeruginosa infection. This study aimed to investigate the prevalence and risk factors of of P. aeruginosa colonization in healthy humans. At the same time, the virulence of the isolated P. aeruginosa was also studied. In the study, 609 Vietnamese volunteers (310 females and 299 males, age range of 2 to 73 years), who had no acute infection or disease symptoms participated at the time of sample collection. Samples were taken from the throat, nostrils, and outer ears. P. aeruginosa was found in 19 participants (3.12%, 95% CI: 0.017–0.045), mainly from the throat (11/19, 57.89%). Participants with a history of sinusitis were 11.57 times more likely to be colonized with P. aeruginosa than participants without a history of sinusitis (OR: 11.57, 95% CI: 4.08–32.76, p-value < 0.0001, Fisher’s Exact test). Age and sex were not significantly associated with P. aeruginosa colonization. Among 16 P. aeruginosa isolates used in virulence tests, 100% (16/16) were positive for the synthesis of biofilm, pyocyanin, and siderophores; 93.75% (15/16) isolates were positive for the synthesis of gelatinase and protease; and 50% (8/16) isolates were positive for lipase. There were no differences in the pattern and range of virulence factors of P. aeruginosa isolates taken from participants with and without sinusitis history. P. aeruginosa colonized 3.12% of participants, and its presence was associated with sinusitis history.
The paper introduces guidelines for implementing design for reliability with the objective to have products to be manufactured and operated with minimum failures and downtime.
The paper introduces guidelines for implementing design for maintainability with the objective to have products to be maintained easily and favorably with minimum downtime and life cycle cost.
In this paper, we studied themethod of creating the godograph, which is a set of polar points of parts in marking diagrams when cutting sheet materials. Based on this study, mathematical models, algorithms, computer software are created to solve optimal nesting problems and automize cutting processes with the objective of saving material and increasing cutting productivity in footwear industry.
This article deals with optimal nesting problem when parts are cut from rectangular sheet in the footwear industry. The objective of the research is minimizing the waste of material or maximizing the number of parts to be cut from sheet materials. By generating the mathematical models and building up their algorithms, the software for solving problem dedicates to a number of industries for saving time and minimizing waste of material, and increasing the cutting productivity.
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