This paper is Interested with studying the performance of statistic test the hypothesis of independence of the two variables (the hypothesis that there is no correlation between the variables under study) in the case of data to meet the requirement of normal distribution in the case away from the distribution due to the presence of outliers (contaminated values) and compared with the performance of some of the other methods proposed and modified

Background:

This paper aims to decide the best parameter estimation methods for the parameters of the Gumbel type-I distribution under the type-II censorship scheme. For this purpose, classical and Bayesian parameter estimation procedures are considered. The maximum likelihood estimators are used for the classical parameter estimation procedure. The asymptotic distributions of these estimators are also derived. It is not possible to obtain explicit solutions of Bayesian estimators. Therefore, Markov Chain Monte Carlo, and Lindley techniques are taken into account to estimate the unknown parameters. In Bayesian analysis, it is very important to determine an appropriate combination of a prior distribution and a loss function. Therefore, two different

Background: previously type 1 diabetes mellitus (T1DM) was listed among the causes of severing growth retardation. Iraq was exposed to wars and conflicts that affect health services which in turn affect the glycemic state of diabetic patients.
Objective: To report on the growth of diabetic children in post-conflict Iraq.
Methods: A total of 100 children with T1DM were included in the study. They were attending the consultancy clinic in Children Welfare Teaching Hospital for the period from 1st of Feb to 30th of May 2017. Weight and height were measured. The growth indices at diagnosis were taken from a case file.
Results: A total of 100 children with T1DM included in this study. Their age was 9.3 ± 3.2 years with a male to fema

Diabetic retinopathy is an eye disease in diabetic patients due to damage to the small blood vessels in the retina due to high and low blood sugar levels. Accurate detection and classification of Diabetic Retinopathy is an important task in computer-aided diagnosis, especially when planning for diabetic retinopathy surgery. Therefore, this study aims to design an automated model based on deep learning, which helps ophthalmologists detect and classify diabetic retinopathy severity through fundus images. In this work, a deep convolutional neural network (CNN) with transfer learning and fine tunes has been proposed by using pre-trained networks known as Residual Network-50 (ResNet-50). The overall framework of the proposed

Background: Rheumatoid arthritis (RA) is a chronic and debilitating autoimmune disease characterized by chronic inflammation with subsequent cartilage and bone destruction. Cytokines are  key mediators of inflammation and can be found in abundance both in the joint and blood of patients. This study was designed to evaluate the role of pro- and anti-inflammatory cytokines in pathogenesis of RA, as well as study the correlation among these cytokines.
Patients and methods: Forty patients with RA and thirty age-matched healthy controls were included in this study. Serum cytokines were measured by enzyme-linked immunosorbent assay.
Results: The serum levels of pro-inflammatory cytokines (IL-1α, IL-2, IL-6, IL-8

Background: Preeclampsia is most common medical disordersduring pregnancy, and the rate of hypertension ranges from 5 – 8 % f or all types of pregnancy. There was a significant difference between cancer antigen -125, plasma fibrinogen and C- reactive protein to the severity of preeclampsia.
Objective: To determine the level ofserum CA-125 level, C-reactive protein and plasma fibrinogen in preeclampsia and their association with the severity of disease and progression of mild preeclampsia to severe type.
Patients and method: A prospective case-control studywhich was carried out in the department of gynecology and obstetric at Baghdad teaching hospital from 1st ofJanuary 2015 to 1st of July 2015.One hundred forty pregnant women wer

The immune infertility caused by anti-sperm antibodies (ASAs) represented about 10–20% of infertility among the couples. The ASAs interfere with sperm parameters such as sperm motility and sperm ability to penetrate cervical mucus, sperm-oocyte binding, and fertilization and embryo development. Objectives: The present study designed to assess semen analysis, presence of ASAs and DNA fragmentation index as well as correlation within these parameters in normzoospermic Iraqi subjects Patients, Materials, and Methods: A total number of Iraqi subjects (116) with range of age (20-51) years and their mean duration of infertility (4.70 ± 2.77). Seminal fluid for macroscopic and microscopic assessments done according to WHO 2010 criteria. The

Dust can  be considered as  an  important factor in  environmental

pollution which has a direct eOect on human health. In this study ,we

attempted to eval uate serum oxidant -antiox idant balance in workers dust exposed continuously and also the effect of iron and silicon content in exposed dust on the mentioned balance .The study included tbrcc groups: A group  included 20  workers of  building block factories, B  group included 20 workers in general company of grains production and C group included 15 healthy' subjects which represented control group. !ron and  silicon  contents in  dust samples of  two  studied  regions were measured. Higher levels o