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The Effect of Related Variables on the Rent Value of Residential Units Case study neighbourhood 409 in the city of Baghdad
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The rent is one of the sources of investment that generates returns for the owner of the housing unit, and it is also one of the importance expenditure for the tenant.

The importance of this research comes in addressing the deficiency in the field of analyzing the factors affecting the rental value of residential units, which affects many segments of the population of Baghdad.

The aim of this research is analyze and evaluate related variables on the rent value of residential units in neighbourhood 409 in city of BAGHDAD, which is a hypothesis that: There are a set of variables affecting the rental value, including those related to the internal environment of the dwelling, such as: income level, plot area, building area, no. of room, house garden, the age of the unit, and variables related to the external environment, such as: the distance from the school, the distance from the main street (the distance from the main shopping center), the distance from the hospital, the distance from the public park, the distance from the river, and the distance from the mosque.

The multiple regression model was used to identify the relative importance of the influencing factors, and the results showed four variables with a significant effect: income level, distance from the main street, building area, and garden, with an explanatory power of 87.6%, while it appeared that the illustrative strength of the model in case Dealing with all the variables approximately 89.9%, which indicates the presence of weak effects of the other variables, and it did not constitute only 2.3% of the total strength of a model.

The research reached a set of conclusions and recommendations related to the aim of the research.

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Publication Date
Fri Jan 01 2021
Journal Name
Ieee Access
Real Time <i>in Situ</i> Remote Monitoring for Cladding Modified SMF Integrating Nanocomposite Based Ammonia Sensors Deploying EDFA
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Publication Date
Mon Jun 30 2025
Journal Name
Acta Logistica
A business continuity-based framework for risk management in smart supply chains: a fuzzy multi-criteria decision-making approach
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The aim of this study is to develop a novel framework for managing risks in smart supply chains by enhancing business continuity and resilience against potential disruptions. This research addresses the growing uncertainty in supply chain environments, driven by both natural phenomena-such as pandemics and earthquakes—and human-induced events, including wars, political upheavals, and societal transformations. Recognizing that traditional risk management approaches are insufficient in such dynamic contexts, the study proposes an adaptive framework that integrates proactive and remedial measures for effective risk mitigation. A fuzzy risk matrix is employed to assess and analyze uncertainties, facilitating the identification of disr

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Publication Date
Tue Jan 01 2019
Journal Name
Biomedical & Pharmacology Journal
Antioxidants and Hepatoprotective Studyof a Purified Bauhinia Variegate Leaves and Flowers against Carbon Tetrachloride-Induced Toxicity in Experimental Rats
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This study was designed to investigate the hepatoprotective activity and antioxidant enzymes of purified Bauhinia variegate leaves extract and purified flowers extract were administered (200 mg/kg, orally once daily) to reduce the effect of carbon tetrachloride-damage in rat’sliver for three weeks. Thereafter, the levels of some serum biochemical factorssuch as alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase,and the activity of three different antioxidant enzymes (glutathione, superoxide dismutase, and catalase) were investigated.Liver homogenate can used to estimated antioxidant parameters: glutathione, superoxide dismutase and catalase. The purified Bauhinia variegate leaves and purified flowers significantly

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Publication Date
Mon Jan 01 2018
Journal Name
Blood Research
Relationship between liver iron concentration determined by R2-MRI, serum ferritin, and liver enzymes in patients with thalassemia intermedia
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4 Blood Res 2018;53:314-319. Received on August 11, 2018 Revised on August 30, 2018 Accepted on August 30, 2018 Background Iron overload is a risk factor affecting all patients with thalassemia intermedia (TI). We aimed to determine whether there is a relationship of serum ferritin (SF) and alanine ami- notransferase (ALT) with liver iron concentration (LIC) determined by R2 magnetic reso- nance imaging (R2-MRI), to estimate the most relevant degree of iron overload and best time to chelate in patients with TI. Methods In this cross-sectional study, 119 patients with TI (mean age years) were randomly se- lected and compared with 120 patients who had a diagnosis of thalassemia major (TM). Correlations of LIC, as determined by R2-MRI, with SF

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Publication Date
Mon Jul 01 2024
Journal Name
The Iranian Journal Of Medical Sciences
Association between Methylenetetrahydrofolate Reductase (MTHFR( and 5-Methyltetrahydrofolate- Homocysteine Methyltransferase Reductase (MTRR) Polymorphisms in Iraqi Patients with COVID-19
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Publication Date
Thu Dec 01 2022
Journal Name
Journal Of Energy Storage
A hybrid solidification enhancement in a latent-heat storage system with nanoparticles, porous foam, and fin-aided foam strips
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Publication Date
Thu Dec 29 2022
Journal Name
Arterial Hypertension
Correlation between coronary artery calcium score and aorta diameter in population with long-standing hypertension using noncontrast CT scan
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Publication Date
Fri Jan 01 2021
Journal Name
International Journal Of Nonlinear Analysis And Applications
Big data analysis by using one covariate at a time multiple testing (Ocmt) method: Early school dropout in iraq
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Publication Date
Tue Jun 18 2024
Journal Name
Heat Transfer Engineering
Boosting Solidification Rates in a Triplex-Tube Thermal Storage System Using Circular Fins: Novel Staggered and Inline Fin Arrangements
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Publication Date
Thu Aug 01 2024
Journal Name
Water Practice &amp; Technology
Artificial neural network and response surface methodology for modeling oil content in produced water from an Iraqi oil field
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ABSTRACT<p>The majority of the environmental outputs from gas refineries are oily wastewater. This research reveals a novel combination of response surface methodology and artificial neural network to optimize and model oil content concentration in the oily wastewater. Response surface methodology based on central composite design shows a highly significant linear model with P value &lt;0.0001 and determination coefficient R2 equal to 0.747, R adjusted was 0.706, and R predicted 0.643. In addition from analysis of variance flow highly effective parameters from other and optimization results verification revealed minimum oily content with 8.5 ± 0.7 ppm when initial oil content 991 ppm, tempe</p> ... Show More
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