Objective: To determine the prevalence of hepatitis C virus (HCV) infection among blood donors and risky population in Diyala province.<br />Materials and methods: In this retrospective study, the records of HCV screening and confirmatory tests were reviewed for the period 1996-2001.Third generation Enzyme-linked immunosorbant assay (ELISA) and Enzyme immunoblot assay were used as screening and confirmatory tests respectively.<br />Results: The prevalence of HCV infection among blood donors was 0.15%, with the highest in 1997. The highest prevalence rates were found among multiple blood recipient; hemophilia, thalassemia and hemodialysis patients (27.3%, 16.9% & 14.3%) respectively. Whereas, the patients with chronic hepatitis B infection and those with acute icteric hepatitis showed slightly elevated prevalence (2.9% & 2.1%) respectively. The overall prevalence in the province was 9.9/105 population. The mean age of infected patients was 29.7 years and the male: female ratio was 3:1.<br />Conclusion: The prevalence of HCV infection in Diyala population is relatively low. However, the HCV infection is concentrated in certain risky groups, particularly multiple blood recipients.
The research involves using phenol – formaldehyde (Novolak) resin as matrix for making composite material, while glass fiber type (E) was used as reinforcing materials. The specimen of the composite material is reinforced with (60%) ratio of glass fiber.
The impregnation method is used in test sample preparation, using molding by pressure presses.
All samples were exposure to (Co60) gamma rays of an average energy (2.5)Mev. The total doses were (208, 312 and 728) KGy.
The mechanical tests (bending, bending strength, shear force, impact strength and surface indentation) were performed on un irradiated and irrad
... Show MoreIn this research , we study the inverse Gompertz distribution (IG) and estimate the survival function of the distribution , and the survival function was evaluated using three methods (the Maximum likelihood, least squares, and percentiles estimators) and choosing the best method estimation ,as it was found that the best method for estimating the survival function is the squares-least method because it has the lowest IMSE and for all sample sizes
In this research , we study the inverse Gompertz distribution (IG) and estimate the survival function of the distribution , and the survival function was evaluated using three methods (the Maximum likelihood, least squares, and percentiles estimators) and choosing the best method estimation ,as it was found that the best method for estimating the survival function is the squares-least method because it has the lowest IMSE and for all sample sizes
The current issues in spam email detection systems are directly related to spam email classification's low accuracy and feature selection's high dimensionality. However, in machine learning (ML), feature selection (FS) as a global optimization strategy reduces data redundancy and produces a collection of precise and acceptable outcomes. A black hole algorithm-based FS algorithm is suggested in this paper for reducing the dimensionality of features and improving the accuracy of spam email classification. Each star's features are represented in binary form, with the features being transformed to binary using a sigmoid function. The proposed Binary Black Hole Algorithm (BBH) searches the feature space for the best feature subsets,
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