The purpose of this study is to investigate the capability of bacterial DNA compared to bacterial lysate in stimulating arthritis using rat model. One hundred mid-stream urine specimens were collected during November 2012 to January 2013, from patients suffering from urinary tract infections attending hospitals in Baghdad, Iraq. Susceptibility of Staphylococcus aureus isolates to antibiotics was examined. Twenty five isolates were identified as S. aureus and they developed multi drug resistance. S. aureus S1 lyaste and its DNA were intra-articulary injected in rats. The levels of IL-6, anti-ds DNA Ab and leukocytes count were measured. In general, IL-6, anti-ds DNA Ab and leukocytes count were significantly higher in sera of rats injected with cell lysate. Moreover, time period significantly (P< 0.05) affected the immunological aspects and joints damage. In a conclusion, bacterial lysate caused more damage to rat joints than DNA. Furthermore, bacterial lysate evoked immunological parameters more than DNA did.
The charge density distributions (CDD) and the elastic electron scattering form
factors F(q) of the ground state for some odd mass nuclei in the 2s 1d shell, such
as K Mg Al Si 19 25 27 29 , , , and P 31
have been calculated based on the use of
occupation numbers of the states and the single particle wave functions of the
harmonic oscillator potential with size parameters chosen to reproduce the observed
root mean square charge radii for all considered nuclei. It is found that introducing
additional parameters, namely; 1 , and , 2 which reflect the difference of the
occupation numbers of the states from the prediction of the simple shell model leads
to very good agreement between the calculated an
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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