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Association analysis of FTO gene polymorphisms rs9939609 and obesity risk among the adults: A systematic review and meta-analysis” Meta Gene (2020) 7–7/100832
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Background: Obesity typically results from a variety of causes and factors which contribute, genetics included, and style of living choices, and described as excessive body fat accumulation of body fat lead to excessive body, is a chronic disorder that combines pathogenic environmental and genetic factors. So, the current study objective was to investigate the of the FTO gene rs9939609 polymorphism and the obesity risk. Explaining the relationship between fat mass and obesity-associated gene (FTO) rs9939609 polymorphism and obesity in adults. Methods: Identify research exploring the association between the obesity risk and the variation polymorphisms of FTO gene rs9939609. We combined the modified odds ratios (OR) as total groups and subgroups. A stable and random effect processes with standard mean division was used to evaluate the outcomes of this study in dominant and recessive groups. The purpose of the current meta-analysis was to explain the relationship of FTO rs9939609 and obesity. Results: This meta-analysis comprised 8 eligible studies including 4109 participants, comprising of 2441 cases and 1668 control measures. Meta-analysis outcomes exposed that a significant difference (P < 0.05) of the FTO genotypes appeared between the obese and the control groups. The FTO rs9939609 polymorphisms were associated significantly with the increased risk of obesity in five genotypes of adults: the AA + AT vs. TT genotypes, OR = 1.54, 95% CI = 1.34–1.77, p = 0.00001; the AA vs. AT + TT genotypes, OR = 1.40, 95% CI = 1.16–1.69, p = 0.0004; the AA vs. TT genotypes, OR = 1.79, 95% CI = 1.45–2.21, p = 0.00001; the AT vs. TT genotypes, OR = 1.47, 95% CI = 1.26–1.72, p = 0.00001; and the A vs. T alleles, OR = 1.38, 95% CI = 1.26–1.53, p = 0.00001). Conclusion: This meta-analysis reveals that the FTO gene polymorphism rs9939609 is correlated with the increasing obesity risk and A allele is also considered as a risk factor for the obesity susceptibility.

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Publication Date
Wed Sep 01 2010
Journal Name
Journal Of Engineering
Analysis of Concrete Flexural Members Reinforced with Fibre Polymer
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Publication Date
Wed Feb 08 2023
Journal Name
Iraqi Journal Of Science
Phylogenetic Analysis of Streptomyces spp. Exhibited Different Antimicrobial Activities
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Fourteen isolates were collected from a previous study and all were assigned to be Streptomyces genus, according to physiological and biochemical tests, however all the isolates varied morphologically and exhibited different antimicrobial activity.  All 14 isolates were confirmed Streptomyces by  16S rRNA PCR amplification. Six isolates with high antimicrobial activities were ascertained   Streptomyces spp. by sequencing and phylogenetic analysis. Two isolates among the selected 6 isolates with antimicrobial activity against  E. coli and S. aureus . It recommended to make a complete sequence for 16S  rRNA to detect the  species that

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Publication Date
Fri Jul 01 2022
Journal Name
Iraqi Journal Of Science
Statistical Analysis of Extreme Rainfall Data in Baghdad City
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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

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Publication Date
Sat Apr 30 2022
Journal Name
Iraqi Journal Of Science
2D Seismic Data Analysis of Judaida Structure, Northern Iraq
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This research aims to study the structural analysis of the 2D reflection seismic data for the Judaida subsurface structure located in Kirkuk province, northern Iraq. It is located 60 Km southwest of Kirkuk oil field, and 35 Km southwest of Jambur oil field, the Daquq River passes through the study area. The reflectors in the seismic section were picked and identified by using the synthetic seismograms generated from the logs data of the Jd-1 well. Three main seismic reflectors, Fatha, Jeribe, and the Euphrates were chosen. These mentioned sedimentary formations were deposited during the Middle Miocene, Lower Miocene, and Early-Mid Miocene respectively. Time and depth maps were drawn for these three reflectors by processing average data f

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Publication Date
Sat Dec 30 2023
Journal Name
Iraqi Journal Of Science
Geospatial Data Analysis of School Distribution in Baghdad City
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     Education and lifelong learning are necessary components of daily city life for urban communities to encourage sustainable and positive communities. The study attempts to analyze the actual school distribution patterns and densities in Baghdad, the Iraqi capital. The significance of this study is that it is associated with one of the essential aspects of humanity: the improvement and affluence of schooling; it impacts school attendance limitations and educational evolution. The education process has been inextricably tied to students' timely and orderly entrance to their schools. Hence the decision maker and planner are concerned by this. The statistics examined elementary and high schools, and the investigated

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Publication Date
Fri Jan 26 2024
Journal Name
Iraqi Journal Of Science
Time Series Analysis of Baghdad Rainfall Using ARIMA Method
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Monthly rainfall data of Baghdad meteorological station were taken to study the time behavior of these data series. Significant fluctuation,very slight increasing trend and significant seasonality were noticed. Several ARIMA models were tested and the best one were checked for the adequacy. It is found that the SEASONAL ARIMA model of the orders SARIMA(2,1,3)x(0,1,1) is the best model where the residual of this model exhibits white noise property, uncorrelateness and they are normally distributed. According to this model, rainfall forecast for four years was also achieved and showing similar trend and extent of the original data.

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Publication Date
Tue Jan 29 2019
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
Analysis Tax Advantage of Financing Leverage: An Empirical Research
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The research objective are analyze financial leverage advantage through analyze and discuss financial leverage cost, and achieve tax advantage. study include two firms ,oil firm and industrial companies firm with limited liability.The inductive method is used for the applied part in analyzing the financial data of the companies considered in 2011-2015.The result of the study shows that the financial leverage achieve present value of the costs is Negative . The study concluded that the most important conclusions of the tax advantage of leverage is higher costs as well as achieving a low tax shield ,This study found out the results that interest payments related to pre-tax all of the loan amount and the percentage of the interest rate on b

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Crossref
Publication Date
Thu Aug 30 2018
Journal Name
Iraqi Journal Of Science
Enhancement of Principal Component Analysis using Gaussian Blur Filter
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Characteristic evolving is most serious move that deal with image discrimination. It makes the content of images as ideal as possible. Gaussian blur filter used to eliminate noise and add purity to images. Principal component analysis algorithm is a straightforward and active method to evolve feature vector and to minimize the dimensionality of data set, this paper proposed using the Gaussian blur filter to eliminate noise of images and improve the PCA for feature extraction. The traditional PCA result as total average of recall and precision are (93% ,97%) and for the improved PCA average recall and precision are (98% ,100%), this show that the improved PCA is more effective in recall and precision.

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Publication Date
Mon Oct 01 2018
Journal Name
Journal Of Economics And Administrative Sciences
symmetric analysis of multiple variables classified ranked orthogonal polynomials
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MCA has gained a reputation for being a very useful statistical method for determining the association between two or more categorical variables and their graphical description. For performance this method, we must calculate the singular vectors through (SVD). Which is an important primary tool that allows user to construct a low-dimensional space to describe the association between the variables categories. As an alternative procedure to use (SVD), we can use the (BMD) method, which involves using orthogonal polynomials to reflect the structure of ordered categorical responses. When the features of BMD are combined with SVD, the (HD) is formed. The aim of study is to use alternative method of (MCA) that is appropriate with order

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Crossref
Publication Date
Mon Oct 01 2018
Journal Name
2018 11th International Congress On Image And Signal Processing, Biomedical Engineering And Informatics (cisp-bmei)
3D Head Shape Analysis of Suspected Zika Infected Infants
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