Objectives of the study: Assess pregnant women's knowledge about tetanus toxoid vaccination, to find out the
relationship between pregnant women's knowledge and some variables which included: (age, level of
education, occupational status, socio-economic level, gravidity, parity, following visits of antenatal care,
tetanus toxoid vaccination coverage).
Methods and Materials: Descriptive analytic study conducted on multistage probabilistic sample of 130
pregnant women during period from 30th January 2012 to the 24th April 2013 was carried out in the six primary
health care centers at Karbala city. The questionnaire was consisted of four parts which include of: sociodemographic
characteristics, reproductive information,

Maternal obesity is linked rates of high-risk obstetrical conditions such as diabetes and hypertension with higher rates of cesarean section. Pregnancy outcomes are negatively affected by maternal obesity (increased risk of neonatal mortality and malformations) . The research aims to show the effect of obesity of woman on physical and metabolisms status.

The primary objective of this study was to investigate the current status of water-quality conditions and assessment it in the Tigris River, Baghdad, Iraq, and to determine how those conditions are changing over time of pollution if any. A series of Hydrochemical tests were carried out to ascertain the influence of major Cations and Anions, Total Dissolved Solids (TDS), Electrical Conductivity (EC) and Potential of hydrogen (pH) on the quality of water. To assess the environmental pollution of the study area: 34 water samples were collected along Tigris River from north to south Baghdad City; 17 on January 2019 and 17 on April 2019. Result of the test were compared with the World Health Organization standards, and showed that all the

Studying extreme precipitation is very important in Iraq. In particular, the last decade witnessed an increasing trend in extreme precipitation as the climate change. Some of which caused a disastrous consequences on social and economic environment in many parts of the country. In this paper a statistical analysis of rainfall data is performed. Annual maximum rainfall data obtained from monthly records for a period of 127 years (1887-2013 inclusive) at Baghdad metrology station have been analyzed. The three distributions chosen to fit the data were Gumbel, Fréchet and the generalized Extreme Value (GEV) distribution. Using the maximum likelihood method, results showed that the GEV distribution was the best followed by Fréchet distribut

Evaluating the part of historical center in Baghdad City

In recent years, there is more interest in water sources availability, including groundwater due to an increase in demand for water because of the increasing population in the world, and the water recedes due to climate change also. Therefore, the study of groundwater has required more attention. The aim of the present study is to establish a MODFLOW model in the groundwater modeling system software to simulate the movement of groundwater in the Turssaq alluvial fan which is located in the Qazaniyah city, east of Diyala Governorate. The solid model was used to define the aquifer in the study area. Using the GIS software, mapping and preparing the data needed to create a conceptual model were carried out. The data of the

In this research, 152 clinical samples were collected from different hospitals in
Baghdad city, 30 isolates of Proteus spp. were identified from urine, wounds and
burns by using different bacteriological and biochemical assays. It was found that 20
(66.6%) samples were identifies as Proteus mirabilis and 10 (33.3%) samples were
Proteus vulgaris. Among the 30 isolates of Proteus spp., 18 isolates (60%) were
isolated from urine samples; 7 (23.3%) isolates from wounds samples and 5 (16.6%)
isolates from burns samples. Out of 20 isolates of P. mirabilis, 13 (65%) isolates
were from urine samples, 4 (20%) isolates were isolated from wounds samples and 3
(15%) isolates from burns. According to the gender, out of 30 Prot

In the lifetime process in some systems, most data cannot belong to one single population. In fact, it can represent several subpopulations. In such a case, the known distribution cannot be used to model data. Instead, a mixture of distribution is used to modulate the data and classify them into several subgroups. The mixture of Rayleigh distribution is best to be used with the lifetime process. This paper aims to infer model parameters by the expectation-maximization (EM) algorithm through the maximum likelihood function. The technique is applied to simulated data by following several scenarios. The accuracy of estimation has been examined by the average mean square error (AMSE) and the average classification success rate (ACSR). T