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Distribution and Classification of Medicinal Plants in Zakhikhah Area of Al-Anbar Desert
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This study included the Zakhikhah area in the Al- Anbar desert, which it bounded on the north, east, and west by the Euphrates River and on the south by the Ramadi-Qaim road. Several exploratory field trips were taken to the study area. During this time, a semi-detailed area survey was carried out based on satellite imagery captured by American Land sat-7, topographic maps, and natural vegetation variance. All necessary field tools, including a digital camera and GPS device, were brought to determine the soil type and collect plant samples. All of these visits are planned to cover the entire state of Zakhikhah. All vegetation cover observations, identifying sampling sites and attempting to inventory and collect medicinal plants in the study area at all stages were recorded. The reasons for the variation in the distribution of medicinal plants in the Zakhikhah area were also presented in this study concerning their distribution sites. The total number of species collected in all stages, according to the findings of this study, was 12. The most abundant plant was the hibiscus, which accounted for 35.40% of the total area and covered 4210.8 acres. The samples were identified, named, and preserved in the University of Anbar’s College of Education for Pure Sciences/Department of Life Sciences herbarium. How to Cite: Fatin H. Al-Dulaimi, 2023. "Distribution and Classification of Medicinal Plants in Zakhikhah Area of Al-Anbar Desert." Journal of Agriculture and Crops, vol. 9, pp. 257-265.

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Publication Date
Sun Jun 05 2011
Journal Name
Baghdad Science Journal
The origin of bacterial contamination in AL-Habania reservoir in Iraq
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Bacterial contamination of AL-Habania reservoir was studied during the period from February 2005 to January 2006; samples were collected from four stations (AL-Warrar, AL-Theban regulator, middle of the reservoir and the fourth was towards AL-Razzaza reservoir). Coliform bacteria, faecal Coliforms, Streptococci, and faecal Streptococci were used as parameters of bacterial contamination in waters through calculating the most probable number. Highest count of Coliform bacteria (1500 cell/100ml) was recorded at AL-Razaza during August, and the lowest count was less than (300 cell/100ml) in the rest of the collection stations for all months. Fecal Coliform bacteria ranged between less than 300 cells/100ml in all stations for all months to 700 c

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Publication Date
Wed Apr 01 2020
Journal Name
Plant Archives
Effect of soil salinity on spectral reflectance of red and nir wavelengths in al-salamiyat project
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Publication Date
Sun Jan 01 2023
Journal Name
Rawal Medical Journal
Knowledge and Attitude of students about Varicella Infection in AL-Kindy College of Medicine, Baghdad, Iraq
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Objectives: To highlight the knowledge of Al-Kindy medical students regarding varicella infection and to assess their knowledge and attitude toward its prevention. Methodology: This descriptive cross-sectional study enrolled academic year 2020/2021 students at Al-Kindy College of Medicine from first to final year. We used an online questionnaire by Google forms to collect data, which were analyzed with SPSS 26. Results: A total of 208 students participated with 126 in the preclinical and 82 in the clinical grades. Generally, most clinical students were more aware about epidemiology, clinical manifestations, and complications of varicella infection than the preclinical students. Conclusion: Educational stage is a significant variab

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Publication Date
Sun Jan 27 2019
Journal Name
Journal Of The College Of Education For Women
Al-Yaqubi's Sources and the question of Shia partiality
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Al-Yaqubi was biased in favor of Shia. May be du to his choice of source, materials. All historians as with other human beings are biased in their attitudes and preconceptions in one degree or another as well as in one direction or another.
The choice of source materials, their nature and the use made of them is an important index for measuring the achievement of ang historian.
Several specific questions arise. What sources did author use that were either unknown to or were not employed by his predecessors and contemporaries for whatever reason?
What sources are common to al- Yaqubi and his colleagues among the early Arab historians and what evidence of tendentiousness can be ascert- ained in these? To what extent can the author

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Publication Date
Fri Feb 01 2019
Journal Name
Journal Of The College Of Education For Women
Words worth and the Intention of AL. Sayyab Discourse
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Words worth and the Intention of AL. Sayyab Discourse

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Publication Date
Tue Aug 15 2023
Journal Name
Al-academy
The aesthetics of the sculptural formulations of swords in the Al-Kafeel Museum of Treasures and Manuscripts
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The research included (the aesthetics of the sculptural formulations of swords in the Al-Kafeel Museum) four chapters. Al-Kafeel Museum.)
Within the time period: (1240 AH / (1824 and 1825) AD - 1312 AH / (1894 and 1895) AD). The second: the types of Islamic swords. The third chapter included (research procedures), and the analysis of samples from the sample (3) as a model according to the descriptive approach, and the fourth chapter dealt with (results, conclusions, recommendations, and proposals). As well as recommendations, proposals and sources.

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Publication Date
Fri Feb 01 2019
Journal Name
Journal Of Physics: Conference Series
Measurement the Concentrations of Radon and Thoron and Their Progeny in the Air Samples of Al-Haswaa City in Babylon province
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Publication Date
Tue Dec 05 2023
Journal Name
Baghdad Science Journal
Indoor/Outdoor Deep Learning Based Image Classification for Object Recognition Applications
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With the rapid development of smart devices, people's lives have become easier, especially for visually disabled or special-needs people. The new achievements in the fields of machine learning and deep learning let people identify and recognise the surrounding environment. In this study, the efficiency and high performance of deep learning architecture are used to build an image classification system in both indoor and outdoor environments. The proposed methodology starts with collecting two datasets (indoor and outdoor) from different separate datasets. In the second step, the collected dataset is split into training, validation, and test sets. The pre-trained GoogleNet and MobileNet-V2 models are trained using the indoor and outdoor se

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Publication Date
Sun Dec 31 2023
Journal Name
International Journal Of Intelligent Engineering And Systems
A Ranked-Aware GA with HoG Features for Infant Cry Classification
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Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
Oil spill classification based on satellite image using deep learning techniques
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 An oil spill is a leakage of pipelines, vessels, oil rigs, or tankers that leads to the release of petroleum products into the marine environment or on land that happened naturally or due to human action, which resulted in severe damages and financial loss. Satellite imagery is one of the powerful tools currently utilized for capturing and getting vital information from the Earth's surface. But the complexity and the vast amount of data make it challenging and time-consuming for humans to process. However, with the advancement of deep learning techniques, the processes are now computerized for finding vital information using real-time satellite images. This paper applied three deep-learning algorithms for satellite image classification

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