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Geographical Distribution of Power Plants in Iraq in 2015 Using Geographic Information Systems
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The study aims to study the geographical distribution of electricpower plants in Iraq, except the governorates of Kurdistan Region (Dohuk, Erbil, Sulaymaniyah) due to lack of data.

In order to reach the goal of the research was based on some mathematical equations and statistical methods to determine how the geographical distribution of these stations (gas, hydropower, steam, diesel) within the provinces and the concentration of them as well as the possibility of the classification of power plants in Iraq to facilitate understanding of distribution in a scientific manner is characterized by objectively.

The most important results of the research are that there are a number of factors that led to the irregular distribution of these stations in the provinces, which led to a discrepancy due to the existence of variation in the same provinces because of the components (population, security situation, economic, geographical location) There are deterministic determinants forcing the decision maker to create certain type of stations without others in this province without others.

 

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Publication Date
Sun Mar 13 2011
Journal Name
Baghdad Science Journal
Taxonomical study of species Zygophyllum fabago L. in Iraq.
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The present study dealt with taxonomic characters of species Zygophyllum fabago L. in Iraq . this study included the exo-morphological characters which indicated that the species was sub-shrub with solid stem and swallow nodes ,with compound bifoliate and stipulate leaves, the flower is complete and perfect with clawed petals . stamen colored with scaly appendage , fruit capsule with ribs . Anatomical study of vegetative parts indicate that the sclerenchymal tissue was very diffuse in stem such as fibers and sclerides ( stone cells ) , the leaves were bifacial . The geographical distiribution of the species plants was studied . The results supported with photographs

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Publication Date
Thu Mar 01 2018
Journal Name
Karbala International Journal Of Modern Science
The prevalence of parasitic protozoan diseases in Iraq, 2016
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Publication Date
Thu Sep 09 2021
Journal Name
International Journal Of Research In Pharmaceutical Sciences
Seroprevalence of celiac disease among children in Baghdad, Iraq
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Publication Date
Wed Jun 01 2022
Journal Name
Minar International Journal Of Applied Sciences And Technology
NEW RECORD SPECIES OF GENUS ASTRAGALUS L. IN IRAQ
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Astragalus mesogitanus is a new recorded species for Iraqi flora, from Onobrychium genus section, was collected from Erbil district, all morphological features were described in details as well as some micromorphological character as the trichomes and were provided with dimensions and plates, section key was also updated which illustrated the importance of standard (corolla) trichomes in species identification. Keywords: Astragalus, Fabaceae, Iraq, New record, Onobrychium, Trichomes.

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Publication Date
Wed Jul 01 2020
Journal Name
Plant Archive
Taxonomic study of glossostemon bruguieri desf. (Malvaceae) in Iraq
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Publication Date
Sun Jun 07 2009
Journal Name
Baghdad Science Journal
Check List of the algae in Diyala River, Iraq
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A total of 722 algal taxa are recorded in Diyala River by different authors. Most of the identification algae belong to three Divisions: Bacillariophyceae (367, 50.8%), Chlorophyceae (179, 24.8%), and Cyanophyceae (126, 17.5%).

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Publication Date
Thu Jan 05 2023
Journal Name
International Journal Of Building Pathology And Adaptation
Adaptation re-use of traditional cafés in Erbil, Iraq
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Purpose

This paper aims to shed light on adaptive reuse in traditional architecture (TA) in Erbil, Iraq.

Design/methodology/approach

An inductive approach and qualitative method were used in this study. The inductive research approach was used because there was no clear image of adaptive reuse in traditional cafés (TCs) in Erbil. Besides, there are no studies of TCs in Erbil particularly. Thus, there is a lack of knowledge about what adaptations took place in TCs in Erbil. The qualitative method extracted themes and issues from case studies of four TCs in Erbil citadel'

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Publication Date
Sun Jul 01 2001
Journal Name
Bulletin Of The Iraq Natural History Museum (p-issn: 1017-8678 , E-issn: 2311-9799)
HAEMATOZO`A OF THE AVIAN FAMILY PHASIANIDAE IN IRAQ
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A collection of 118 specimens of Iraqi phasianid birds belong to four species was examined
for haematozoa. Results show that 21.2% of them were infected with one or more of four
species of blood parasites; Haemoproteus danilewskyi, H. santosdiasi, Plasmodium sp. and
microfilaria. Haemoproteus danilewskyi is reported here for the first time in Iraq.

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Publication Date
Sat Aug 09 2025
Journal Name
Gsc Biological And Pharmaceutical Sciences
Review of epidemiological Leishmania Ron. Ross, 1903 in Iraq
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Abstract Leishmania species are intracellular protozoan parasites that spend a portion of their life cycle in the midgut of sand flies and the remainder in the tissues of mammals. These parasites, which cause a class of human disorders known as leishmaniasis, live mostly in macrophages, where they multiply and survive by employing a variety of defense mechanisms against the oxidative stress and acidity generated by these immune cells. To help control their reaction to heat stress, they also produce heat shock proteins. Furthermore, the promastigote form has a glycocalyx that is necessary for colonizing the gut wall of the sand fly and completing its life cycle. Consequently, a variety of virulence factors contribute to the parasite's pathog

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Publication Date
Sun Mar 31 2024
Journal Name
Iraqi Geological Journal
Permeability Prediction and Facies Distribution for Yamama Reservoir in Faihaa Oil Field: Role of Machine Learning and Cluster Analysis Approach
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Empirical and statistical methodologies have been established to acquire accurate permeability identification and reservoir characterization, based on the rock type and reservoir performance. The identification of rock facies is usually done by either using core analysis to visually interpret lithofacies or indirectly based on well-log data. The use of well-log data for traditional facies prediction is characterized by uncertainties and can be time-consuming, particularly when working with large datasets. Thus, Machine Learning can be used to predict patterns more efficiently when applied to large data. Taking into account the electrofacies distribution, this work was conducted to predict permeability for the four wells, FH1, FH2, F

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