This study aimed to evaluate the relationship between the microbiota number of some common bacterial species in children's gut with Entamoeba histolytica infection. To achieve that,49 samples of stool were collected, 29 from children with acute amebiasis and 20 from healthy children, children's ages ranging from 1 month to 12 years from both genders. Counting three types of bacteria Lactobacillus spp., Bifidobacterium spp. and Escherichia coli, using the standard curve obtained from Real-Time PCR was accomplished. The standard curve was made from decimal serial dilution of samples containing an unknown number of bacteria. The results showed that E. histolytica infection creates co

The mean age of AS patients was (35.0 ± 9.8) years.When the patients and control subjects were divided into different age groups (>40, 30-40, <30 years), the differences were not significantin terms of disease prevalence. The results also showed that the percentage of male patients is higher than that of females. There was no significant difference (P?0.05) between patients and controls in the distribution of males and females.Most of the patients had the disease for a period of 5 years or higher, with a disease severity of ? 2.1 and functional disability degree of I, II. The resultsshoweddifferent patterns of distribution for the three tested cytokines. A significant increase in the level of TNF-?, anon-significantincrease i

     This paper focuses on choosing a spatial mixture model with implicitly includes the time to represent the relative risks of COVID-19 pandemic using an appropriate model selection criterion. For this purpose, a more recent criterion so-called the widely Akaike information criterion (WAIC) is used which we believe that its use so limitedly in the context of relative risk modelling. In addition, a graphical method is adopted that is based on a spatial-temporal predictive posterior distribution to select the best model yielding the best predictive accuracy. By applying this model selection criterion, we seek to identify the levels of relative risk, which implicitly represents the determination of the number of the model components o

Generally, direct measurement of soil compression index (Cc) is expensive and time-consuming. To save time and effort, indirect methods to obtain Cc may be an inexpensive option. Usually, the indirect methods are based on a correlation between some easier measuring descriptive variables such as liquid limit, soil density, and natural water content. This study used the ANFIS and regression methods to obtain Cc indirectly. To achieve the aim of this investigation, 177 undisturbed samples were collected from the cohesive soil in Sulaymaniyah Governorate in Iraq. Results of this study indicated that ANFIS models over-performed the Regression method in estimating Cc with R² of 0.66 and 0.48 for both ANFIS and Regre

The esophageal morphology of domestic fowl (Gallus gallus domesticus) was investigated to fillthe dearth of information on the morphology of esophagus from available literature and help inunderstanding its digestive tract biology. The esophagus is under study as musculomembranous tubularshape, it began from oropharyngeal cavity and terminated on the proventriculus. The esophagus wasdivided into three regions are represented by cervical part, crop, and Thoracic part. Internal lining of theesophagus consisted of un-branched straight longitudinal folds The length of the cervical part, crop andthoracic part were 11.5 cm, 3.5 cm, 6 cm respectively.

     Four subsurface sections and electrical, porosity logs, and gamma-ray logs of the Khasib Formation (age Late Turonian-Lower Coniacian) were studied to identify reservoir characteristics and to evaluate the reservoir properties of the Khasib reservoir units in the East Baghdad oilfield. The lithology of the formation is limestone throughout the whole sequence in all studied wells EB-83, EB-87, EB-92, and EB94. It is bounded conformably from the top by Tanuma Formation and has a conformable lower contact with Kifl Formation. The lower and upper boundaries of the formation were determined using well log analysis, and the formation was divided into three main rock units (Kh1, Kh2, and Kh3), depending on the porosity logs. The porosi