This study includes collection of 70 swabs samples of burns from patients were
admitted in three hospitals (Baghdad, Al- Numaan and burns injuries Hospital). All
swabs samples were cultured on blood and MacConkey agar media to isolate and
identify pathogenic bacteria according to their morphological , biochemical and
growth characters. Growth of bacteria on selective media showed the following
results: Pseudomonas aeroginosa 44.28% , Klebsiella pneumonia 30% ,
Staphylococcu saureus 8.57% , Escherichia coli 4.28% , Proteus vulgaris 4.28 % ,
Enterobacter spp. 5.71% , Acinetobacter baumanni 2.89 %. Different concentrations
were prepared from leaves ethanolic crude extract of Catharanthus roseus , then the
anti-bacterial activity of this extract was evaluated in vivo. Burns were achieved
experimentally in Albino mice and contaminated with pathogenic bacteria and
evaluate the ability of extract in healing of these infected burns. Results showed that
the extract accelerate burns healing within 7days.
In Vivo Effect of Catharanthus roseus Crude Extracts on Pathogenic Bacteria Isolated from Skin infections
Medicinal plants
antimicrobial crude extracts
wounds and burns healing
Catharanthu roseus
Publication Date
Wed Apr 25 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution
Exponentiated Weibull Distribution (EWD)
Reliability of multi-component Stress – Strength models R(s
k)
Maximum likelihood estimator (MLE)
Moment estimator (MOM)
shrinkage method (Sh)
Least Squares Estimator (LS)
Rank Set Sampling (RSS). and mean squared error (MSE).
In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through Monte Carlo simulation technique were made depend on mean squared error (MSE) criteria
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