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Detection of resistance genes (gyrA,qepA,drf1,drf17) for E.coli in Iraqi aquatic environment
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The control of water represents the safe key for fair and optimal use to protect water resources due to human activities, including untreated wastewater, which is considered a carrier of a large number of antibiotic-resistant bacterial species. This study aimed to investigate the prevalence of antibiotic-resistance to E. coli in Tigris River by the presence of resistance genes for aminoglycoside(qepA( ,quinolone (gyrA), and sulfa drugs( dfr1 ,dfr17) due to the frequent use of antibiotics and their release into wastewater of hospitals. Samples were collected from three sites on Tigris River: S1( station wastewater in Adhamiya), S2 (station wastewater in Baghdad Medical city hospital), S3 (station wastewater in Abu Nuwas) from February-July 2021. Out of 67 isolates of bacteria, only 40 isolates of E. coli were detected by Vitek2. The antibiotic-resistance was estimated by the disk diffusion method. All E.coli isolates were tested against 6 antibiotics. The results showed the high resistance antibiotic of E. coli against Ceftazidime 70%, with intermediate resistance to Cefotaxime 47.5%, and low resistance to the sulfa drugs as Trimethoprim 27.5% and quinolones antibiotics as ciprofloxacin 17.5%, aminoglycosides as Amikacin and Gentamycin 5% and 7.5%. Moreover, the results revealed that gyrA gene was detected in 4 isolates (10%) while drf1 and drf17 genes were in 2 isolates of each gene (5%).Whereas qepA gene has not appeared in isolates. In conclusion, the isolates of E.coli from the Tigris River showed low resistance to sulfa drugs and quinolones , aminoglycosides. The resistance genes (gyrA,drf1,drf17) were detected in a few isolates which may be explained by the horizontal transfer of plasmids that carried genes and their distribution among the family  Enterobacteriaceae.

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Publication Date
Wed Jun 14 2023
Journal Name
Al-academy
fashion and Contrasting in the contemporary Iraqi theater show
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Since its inception, the theatrical performance has been based on the principle of permanence, continuity, renewal and innovation in the structure of its visual elements. These innovations and the effectiveness of continuity cannot be achieved without searching for everything that is new and different at the level (form and content) in order to create an image with innovative and effective features in the theatrical discourse, and from Among the elements of the theatrical performance (theatrical costumes) that have been subject to variation since the beginning of the theater until now, and for this purpose, the current research was conducted with the question of the research problem: What are the variations of costumes in the contemporar

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Publication Date
Tue Mar 01 2016
Journal Name
Al-academy
Instigation in the Iraqi theatrical discourse: حسين رضا حسين
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The first chapter included the frame approach on research in which we discuss instigation in Iraqi drama as it as an active sign to enrich the structure of the speech so the researcher limits the problem of his research which is to follow the important of instigation in the Iraqi theatrical discourse. this chapter also contains the important of the research and its aim and limits. And reflected the importance of research in approaching the concept of instigation and effectiveness within the paths of the Iraqi, theatrical discourse.The 2nd chapter included the two sections and reviewed in the first section manifestations of incitement in the global theatrical discourse. the 2rd studied instigation in the Arab theatrical discourse. The 3rd

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Publication Date
Mon May 11 2020
Journal Name
Baghdad Science Journal
Moving Objects Detection Based on Frequency Domain: image processing
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In this research a proposed technique is used to enhance the frame difference technique performance for extracting moving objects in video file. One of the most effective factors in performance dropping is noise existence, which may cause incorrect moving objects identification. Therefore it was necessary to find a way to diminish this noise effect. Traditional Average and Median spatial filters can be used to handle such situations. But here in this work the focus is on utilizing spectral domain through using Fourier and Wavelet transformations in order to decrease this noise effect. Experiments and statistical features (Entropy, Standard deviation) proved that these transformations can stand to overcome such problems in an elegant way.

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Publication Date
Wed Apr 28 2021
Journal Name
2021 1st Babylon International Conference On Information Technology And Science (bicits)
Enhanced Twitter Community Detection using Node Content and Attributes
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Publication Date
Tue Oct 18 2022
Journal Name
Ieee Access
Plain, Edge, and Texture Detection Based on Orthogonal Moment
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Image pattern classification is considered a significant step for image and video processing. Although various image pattern algorithms have been proposed so far that achieved adequate classification, achieving higher accuracy while reducing the computation time remains challenging to date. A robust image pattern classification method is essential to obtain the desired accuracy. This method can be accurately classify image blocks into plain, edge, and texture (PET) using an efficient feature extraction mechanism. Moreover, to date, most of the existing studies are focused on evaluating their methods based on specific orthogonal moments, which limits the understanding of their potential application to various Discrete Orthogonal Moments (DOM

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Publication Date
Tue Oct 04 2022
Journal Name
Ieee Access
Plain, Edge, and Texture Detection Based on Orthogonal Moment
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Image pattern classification is considered a significant step for image and video processing.Although various image pattern algorithms have been proposed so far that achieved adequate classification,achieving higher accuracy while reducing the computation time remains challenging to date. A robust imagepattern classification method is essential to obtain the desired accuracy. This method can be accuratelyclassify image blocks into plain, edge, and texture (PET) using an efficient feature extraction mechanism.Moreover, to date, most of the existing studies are focused on evaluating their methods based on specificorthogonal moments, which limits the understanding of their potential application to various DiscreteOrthogonal Moments (DOMs). The

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Publication Date
Tue Apr 30 2024
Journal Name
Iraqi Journal Of Science
Credit Card Fraud Detection Challenges and Solutions: A Review
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     Credit card fraud has become an increasing problem due to the growing reliance on electronic payment systems and technological advances that have improved fraud techniques. Numerous financial institutions are looking for the best ways to leverage technological advancements to provide better services to their end users, and researchers used various protection methods to provide security and privacy for credit cards. Therefore, it is necessary to identify the challenges and the proposed solutions to address them.  This review provides an overview of the most recent research on the detection of fraudulent credit card transactions to protect those transactions from tampering or improper use, which includes imbalance classes, c

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Publication Date
Mon Jan 01 2024
Journal Name
Computers, Materials & Continua
Credit Card Fraud Detection Using Improved Deep Learning Models
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Publication Date
Fri Feb 21 2025
Journal Name
2025 First International Conference On Advances In Computer Science, Electrical, Electronics, And Communication Technologies (ce2ct)
Enhancing Cloud Security Implementing AI-Based Intrusion Detection Systems
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Publication Date
Tue Feb 08 2022
Journal Name
South Asian Journal Of Social Sciences And Humanities
The Impact of University Leadership and the University Organizational Environment on the Performance of staff: A Case Study at Al Maaqal University (Private Sector)
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This study aims to explore the impact of the interaction of the university leadership and the university organizational environment on the performance level of the staff at Al-Maaqal university. This university was chosen as a field of study because it is a new university and needs studies that develops and contributes to improve its overall performance. The problem defined by the following question: to what extent does the interaction of the university leadership and the university organizational environment affect the performance level of the teaching staff at AlMaaqal University?). The method of this study adopted a major hypothesis in which there is a statistically significant effect of university leadership and university environment o

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