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FIRST PHOTOGRAPHIC RECORDS AND NEW DISTRIBUTION RANGE OF THE ENDANGERED LONG-TAILED NESOKIA NESOKIA BUNNII (KHAJURIA, 1981)
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In the 1970s, the world knew the long-tailed nesokia Nesokia bunnii (Khajuria, 1981) (Rodentia, Muridae) from the Mesopotamian marshes of Garden of Eden in Southern Iraq. This distinct rodent was known from only five voucher specimens collected at the confluence of Tigris and Euphrates Rivers in southern Iraq while its occurrence in Southwestern Iran had
never been reported. In the 1990s, a large extent of its natural habitat was catastrophically desiccated and the animal was last seen in the 1970s. Since then, the status of this elusive rodent was shrouded in mystery. In 2007, an extraordinary photograph of a carcass of this species came to the light from Hawizeh Marsh which was interpreted as concrete evidence of the species’ persistence in the marshes of southern Iraq after the desiccation in the last century. In 2021, after more than 40 years, exclusive photographic records of living N. bunnii were obtained for the first time from Central Marshes in southern Iraq and from Edhe’am Marsh in southwestern Iran. The new distribution range is highlighted in this note. Furthermore, the first photographs of living N. bunnii are provided along with notes on its ecology and behavior.

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Publication Date
Tue Dec 29 2020
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Synthesis, Characterization, and Antibacterial Evaluation of New Vanillic Acid Derivatives
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Publication Date
Fri Feb 28 2020
Journal Name
Neuroquantology
Synthesis, Characterization and Pharmacological Studies of Some New Furosemide Derivatives
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Publication Date
Sun Jul 01 2018
Journal Name
Bulletin Of The Iraq Natural History Museum (p-issn: 1017-8678 , E-issn: 2311-9799)
FIRST RECORD OF AENASIUS ARIZONENSIS (GIRAULT, 1915) (HYMENOPTERA, ENCYRTIDAE), A PARASITOID OF PHENACOCCUS SOLENOPSIS TINSLY, 1898 (HEMIPTERA, PSEUDOCOCCIDAE) IN IRAQ
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    This article reports the first record of Aenasius arizonensis (Girault, 1915) (Hymenoptera, Encyrtidae) parasitizing the recently introduced species of cotton mealybug, Phenacoccus solenopsis Tinsly (Hemiptera, Psedococcidae) infesting Lantana camara L. (Verbeneceae) as well as other ornamental plants in Baghdad province, Iraq.  A short morphological description is also presented.

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Publication Date
Mon Aug 01 2022
Journal Name
International Journal Of Nonlinear Analysis And Applications
comparing three estimators of fuzzy reliability for one scale parameter rayleigh distribution
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Statistical methods and statistical decisions making were used to arrange and analyze the primary data to get norms which are used with Geographic Information Systems (GIS) and spatial analysis programs to identify the animals production and poultry units in strategic nutrition channels, also the priorities of food insecurity through the local production and import when there is no capacity for production. The poultry production is one of the most important commodities that satisfy human body protein requirements, also the most important criteria to measure the development and prosperity of nations. The poultry fields of Babylon Governorate are located in Abi Ghareg and Al_Kifil centers according to many criteria or factors such as the popu

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Publication Date
Sun Jan 01 2023
Journal Name
Aip Conference Proceedings
Different estimation methods of reliability in stress-strength model under chen distribution
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Publication Date
Fri Mar 01 2024
Journal Name
Baghdad Science Journal
Spatial Distribution of Heavy Element in Erbil's Municipal Landfills by Using GIS
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Untreated municipal solid waste (MSW) release onto land is prevalent in developing countries. To reduce the high levels of harmful components in polluted soils, a proper evaluation of heavy metal concentrations in Erbil's Kani Qrzhala dump between August 2021 and February 2022 is required. The purpose of this research was to examine the impact of improper solid waste disposal on soil properties within a landfill by assessing the risks of contamination for eight heavy elements in two separate layers of the soil by using geoaccumulation index (I-geo) and pollution load index (PLI) supported. The ArcGIS software was employed to map the spatial distribution of heavy element pollution and potential ecological risks. The I-geo values in summe

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Publication Date
Tue Dec 01 2015
Journal Name
Journal Of Economics And Administrative Sciences
Ant Colony Optimization Algorithm for Design of Distribution System with Practical Application
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The Ant System Algorithm (ASA) is a member of the ant colony algorithms family in swarm intelligence methods (part of the Artificial Intelligence field), which is based on the behavior of ants seeking a path and a source of food in their colonies. The aim of This algorithm is to search for an optimal solution for Combinational Optimization Problems (COP) for which is extremely difficult to find solution using the classical methods like linear and non-linear programming methods. 

The Ant System Algorithm was used in the management of water resources field in Iraq, specifically for Haditha dam which is one of the most important dams in Iraq. The target is to find out an efficient management system for

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Publication Date
Fri Jul 02 1999
Journal Name
Iraqi Journal Of Science
A new proposal method for sampling and explosion of the phosphatic rocks in the Akkashat Mine, Western desert, Iraq
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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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Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
Preparation and Identification of some new Pyrazolopyrin derivatives and their Polymerizations study
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Preparation and Identification of some new Pyrazolopyrin derivatives and their Polymerizations study

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