Background: Pregnancy is a stressful state of increased inflammatory activity, and pregnancy – associated hormone changes can influence periodontal tissues, these inflammatory activity lead to production of inflammatory mediators. Interleukin 1 beta (IL-1β) is a potent pro-inflammatory cytokines that is consistently associated with periodontal diseases. This study was designed to determine the periodontal health status and detect the serum level of IL-1β in the healthy pregnant women at first, second and third trimester and compare it with healthy non pregnant women, and determine its correlation with different clinical periodontal parameters. Materials and Methods: Subjects included in the study were sixty six (66) healthy pregnant women with an age range of 20-35 years old. They were divided into three subgroups according to gestational age, as twenty two (22) women in each trimester. Also the sample included fifteen (15) married, non pregnant women and didn’t take contraceptive pills, as control group with same age rang of 20- 35 years. Clinical periodontal parameters were measured in this study (plaque index, gingival index, bleeding on probing, probing pocket depth and clinical attachment level). Blood samples were collected from all women under study (pregnant & non pregnant women) to asses concentrations of IL-1β by mean of enzyme – linked immune sorbent assay (ELISA). Results: Highly significant statistical differences were observed among the study groups regarding the gingival index (GI)with p-value( 0.007) and the percentages of bleeding on probing (BOP) p- value(0.00), a significant difference regarding the probing pocket depth ( PPD) with p-value (0.046) ,and non significant statistical differences regarding the plaque index (PLI), p-value(0.6) and clinical attachment level (CAL) with p-value (0.371). Interleukin 1-beta ( IL-1β) serum level showed a highly statistical significant difference among the study groups with p-value (0.00).A pregnant women showed higher level than non pregnant with a higher value in the second trimester. Conclusions: The present result revealed that the serum level of IL-1β was higher in pregnant women than non pregnant women with a highly significant difference. The IL-1β serum concentration reaches the maximum value in the second trimester of pregnancy. Nevertheless there were weak correlations between clinical periodontal parameters and serum level of IL-1β.
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Purpose: To contribute to the development of an appropriate program for the management of medical waste based on clear-cut principles in order to reach the overall goal of improving the public health and environment of the population in our country.
Design / Approach / Introduction: The research is based on the analytical descriptive approach as a method of study in the field of data collection using a check list and analysis of the data through the use of some statistical treatments.
Results: The need is to establish a medical waste management in hospitals and follow international standards in all stages of waste management from sorting, collection, transportation and treat
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The Indoor Environmental Quality (IEQ) describes an indoor space condition that the wellbeing and comfortability are provided for the users. Many researchers have highlighted the importance of adopting IEQ criteria, although they are not yet well defined in the Kurdistan region. However, environmental quality is not necessary for the contemporary buildings of the Kurdistan Region, and there is no measurement tool in the Region. This research aims to develop an IEQ assessment tool for the Kurdistan region using Mixed method methodology, both qualitative and quantitative. Therefore, a Delphi Technique was used as a method initially developed as systematic, interactive forecasting on a panel of experts. Thirty-five Delphi C
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In recent years, social media has been increasing widely and obviously as a media for users expressing their emotions and feelings through thousands of posts and comments related to tourism companies. As a consequence, it became difficult for tourists to read all the comments to determine whether these opinions are positive or negative to assess the success of a tourism company. In this paper, a modest model is proposed to assess e-tourism companies using Iraqi dialect reviews collected from Facebook. The reviews are analyzed using text mining techniques for sentiment classification. The generated sentiment words are classified into positive, negative and neutral comments by utilizing Rough Set Theory, Naïve Bayes and K-Nearest Neighbor
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Background: Data on the impact of neonatal and total pediatric admissions volume on neonatal mortality are sparse. Objectives: This study is done to estimate the neonatal mortality in relation to neonatal admissions and to total hospital admissions in Al-Alwyia Pediatric Teaching Hospital through years 2005-2012 Type of the study: A retrospective study.Methods: statistical records of all cases admitted to APTH were studied during 2005-2012.Results: Neonatal mortality decreased to the nadir at last year of study period (2012) and reached 6.1% of neonatal admissions compared to 2005 level which was 9.7 %. Mortality rate among premature and low birth weight (LBW) infants decreased also. The study also reveals that neonatal mortality constit
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Discriminant analysis is a technique used to distinguish and classification an individual to a group among a number of groups based on a linear combination of a set of relevant variables know discriminant function. In this research discriminant analysis used to analysis data from repeated measurements design. We will deal with the problem of discrimination and classification in the case of two groups by assuming the Compound Symmetry covariance structure under the assumption of normality for univariate repeated measures data.
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