24 research outputs found
Clinical and bacteriological study of nosocomial infections due to Enterobacter aerogenes resistant to imipenem
Enterobacter aerogenes strains resistant to imipenem were isolated in 10 patients, 7 of whom had received imipenem-cilastatin. The strains were differentiated by biotype, antibiotype, and plasmid content. All of the strains overproduced a chromosomal cephalosporinase and lost a major outer membrane protein with a size of about 40 kDa. In 5 of the 10 patients, E. aerogenes strains resistant to extended-spectrum cephalosporin were isolated during the same stay. In three patients, the similarity between the imipenem-susceptible and -resistant strains suggests the occurrence of mutation and reversion in vivo. The combination imipenem-cilastatin has been critically important for use with multiresistant strains of Enterobacter spp., but its use increases the risk of selection of imipenem-resistant strains.</jats:p
Métabolisme protéique corps entier et protéolyse musculaire chez le traumatisé cranien
supplémentNational audienc
Métabolisme protéique corps entier et protéolyse musculaire chez le traumatisé cranien
National audienc
Effects of dopamine inhalation on oxygenation and extravascular lung water during severe ARDS
Influence du drainage bronchique dans l'amélioration des échanges gazeux observée en décubitus ventral au cours du SDRA
Syndrome primaire des antiphospholipides d'évolution fatale et cytostéatonécrose ostéoarticulaire
Envenimations par vipères européennes. Étude multicentrique de tolérance du Viperfav™, nouvel antivenin par voie intraveineuse
Construction Managers’ Perception for Sustainable Construction Contributing Factors: Analysis using Support Vector Machine
This paper investigates the construction managers’ perception of sustainability contributing factors in construction. Respondents worked at 102 construction companies in the R. Macedonia and 102 in the Federation of Bosnia and Herzegovina (B&H). Using support vector machine, prediction models were designed. For classification of the target variable “familiarity with sustainable construction industry”, 25 predictors were chosen. Depending on the validation method used, the accuracy of the B&H model was from 93.14% to 100%, and of the Macedonian model – from 91.18% to 94.12%. General conclusion is that construction managers should increase their knowledge about sustainability contributing factors
