Background: Bloody diarrhea plays a major role in
morbidity and mortality especially in developing
countries, it is usually a sign of invasive enteric
infection, there is a thought that amoebic dysentery is
more common than bacillary dysentery in Iraq, and
from 1989 to 1997 amoebic dysentery increase from
20000to 550000 patients.
Objectives: This study aims to:
1. Outline the incidence of various infectious causes of
bloody diarrhea in Erbil district.
2. Assess the effect of multiple factors like age, sex,
source of water supply, etc... On the incidence of
amebic and bacillary dysentery.
3. To provide baseline data for making strategic plan to
reduce the diarrhoeal mortality and morbidity.
Methods: A prospective case- series study was
conducted on 116 infants and children aged 2 month –
12 years admitted to hospital complaining of bloody
diarrhea. Information was taken from their mothers
regarding (age, sex, geographical area, feeding pattern
and source of water supply) , their stool have been
examined for the presence of RBC, leukocyte, parasitic
cyst and trophozoit, however blood examination was
conducted for the presence of band.
Results: The results reveal 77.5% of patients were in the
younger age group (<2 year). Entamoeba histolytica was
the most common enteropathogen isolated in 60.3% of
patients, other enteropathogens identified were Shigella
3.5%, E.coli2.6%, Salmonella2.6%, mixed infection
were reported in 1.72%, 28.5%of patients have non
isolated pathogen.
On the other hand, source of water supply and type of
feeding have significant effect on incidence of
enteropathogens. The presence of fever, vomiting,
convulsion and band in peripheral blood mostly
indicates bacterial etiology.
Conclusion: Entamoeba histolytica was the commonest
enteropathogen isolated; the incidence of bloody
diarrhea was more in younger age group. There was
significant effect of source of water supply on the
incidence of bloody diarrhea with most enteropathogen
isolated from patients who have well water supply.
Breastfeeding was protective against enteropathogen
especially bacterial agents in infants under 6 month of
age. Presence of band in the peripheral blood indicates
most probably bacterial agents
Objective: The aim of this study is to detect the effect of continuous exposure to Sodium Nitrite on 8-oxoguanine
DNA glycosylase (OGG1) gene which responsible on DNA repairs. DNA repair play a major role in maintaining
genomic stability when DNA exposure to damage. Genomic stability is very important for keeping body cells
healthy and to prevent many types of tumor development. Many genes are responsible for this job; one of them is
OGG1 gene.
Methodology: In current study two groups of mice were chronically exposed to sodium nitrite for six months and
eighteen months while third group was used as a control. Then sizes of OGG1 were estimated.
Results: The results exhibited in the unexposed (control) mice had two dif
In this research study failed Annunciation No. 10 for the fourth phase of the pressure of carbon dioxide of the company for Southern Fertilizers and repeated the failures more than once for the same gospel was a detailed study of the gospel included a series tests for properties Mechanical and Structural addition to the tests microscopic and scanning electron microscope shows m This study parameters and a failure Elal well as the existence of an old internal cracks in the metal of the Annunciation
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Fluidization process is widely used by a great assortment of industries worldwide and represents a trillion dollar industry [6]. They are currently used in separation, classification, drying and mixing of particles, chemical reactions and regeneration processes; one of these processes is the mass transfer from an immersed surface to a gas fluidized bed
In this research, the focus was on estimating the parameters on (min- Gumbel distribution), using the maximum likelihood method and the Bayes method. The genetic algorithmmethod was employed in estimating the parameters of the maximum likelihood method as well as the Bayes method. The comparison was made using the mean error squares (MSE), where the best estimator is the one who has the least mean squared error. It was noted that the best estimator was (BLG_GE).
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