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DETECTION OF ANTIMICROBIAL RESISTANCE OF LISTERIA MONOCYTOGENES ISOLATED FROM ABORTED COWS IN IRAQ
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Listeria spp. is one of the abortion causative agents in animals, especially in ruminants. This work aimed to detect Listeria spp. in milk and aborted fetus cows in Iraq. A total of 50 organ samples from aborted cow fetuses, including (brain, liver, and spleen), and 50 milk samples from the same aborted cows were collected from Baghdad farms, Iraq from (October 2023- March 2024). The bacteria were identified by conventional culture methods, biochemical tests, and the VITEK2 compact system, followed by molecular confirmation. The antimicrobial resistance pattern assay was performed using the disc diffusion method against eight antibiotic agents, and the L.monocytogenes virulence genes involving prfA,actA, and hylA genes were detected using the PCR. The results revealed that only L. monocytogenes was detected at 2/50(4%) from aborted fetuses isolated from the brain and liver, while not in milk samples. The L.monocytogenes showed 100% resistance against erythromycin, ampicillin, cotrimoxazole, chloramphenicol, vancomycin, and tetracycline. At the same time, all the isolates had a high MDR and MAR (Multiple Antibiotic Resistance) index. This study concluded that L.monocytogenes is one of the abortion causative agents in cattle in Iraq, and the high antibiotic resistance of Listeria leads to economic loss and a possible risk to humans.

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Publication Date
Wed Mar 02 2022
Journal Name
Remittances Review
Analyzing the Influence of Information and Communication Technologies (ICT) on the Per Capita GDP of Iraq from 2004 to 2021
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The study aims to identify the theoretical literature for all the variables of the study (ICT, GDP) as well as to identify the practical side of the impact of ICT on the per capita GDP in Iraq for the period (2004-2021). The study was based on the hypothesis that ICT impacts per capita GDP in Iraq. The problem of the study was to answer the question: does ICT contribute to per capita GDP? The study concluded that an increase in the rate of internet users per 100 people by one unit would increase. Increasing the landline telephone rate per 100 people by one unit will increase GDP per capita. In addition, increasing the mobile phone rate per 100 people by one unit will increase GDP per capita. The study recommended adopting rational poli

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Publication Date
Thu Jul 01 2010
Journal Name
Bulletin Of The Iraq Natural History Museum (p-issn: 1017-8678 , E-issn: 2311-9799)
NEW SUB-SPECIES OF CHUKAR PARTRIDGE ALECTORIS CHUKAR (GRAY 1830) (PHASIANIDAE, GALLIFORMES) FROM NORTH EAST OF IRAQ WITH BIOLOGICAL OBSERVATIONS
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Chukar partridge Alectoris chukar (Gray, 1830) is the only species of the 46 species of the genus Alectoris to be found in Iraq. At least there are fourteen subspecies of chukar were described from east Europe, the Middle East and west Asia, two of them were known to be found in Iraq, A.c. Kurdestanica (Meinertzhagen, 1923) from Alpine bio-geographical zone of altitude more than 2000m high, and A.c. werae Zarundny and Loudon, 1904, from the foothills of altitude not more than 400m. In between these two regions, there is another bio-geographical region known as the Irano-toranian zone 400-2000m high. Using morphological, ecological, behavioural, reproduction and hybridization criteria this study discove

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Publication Date
Wed Jun 24 2020
Journal Name
Bulletin Of The Iraq Natural History Museum (p-issn: 1017-8678 , E-issn: 2311-9799)
NEW DESCRIPTION OF THE LARVAL STAGE OF LATIPALPIS (PALPILATIS) JOHANIDESI NIEHUIS, 2002 (COLEOPTERA, BUPRESTIDAE) FROM ERBIL PROVINCE, KURDISTAN REGION, IRAQ
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   The present study introduced a new description of the last larval instar of the oak tree borer, Latipalpis johanidesi Niehuis, 2002 (Coleoptera, Buprestidae). The larval specimens were collected from the oak trees within the mountainous areas, Erbil governorate, Iraqi Kurdistan Region, during the beginning of April till the end of May 2019.

   Schematic sketches were provided to illustrate unclear morphological features, and the results presented importance morphological evidence for confirming the identification of this species in the larval stage precisely.

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Publication Date
Sun Dec 01 2013
Journal Name
Bulletin Of The Iraq Natural History Museum (p-issn: 1017-8678 , E-issn: 2311-9799)
NEW RECORD OF NANOSESARMA SARII (NADERLOO AND YURKAY, 2009) (CRUSTACEA: DECAPODA: BRACHYURA: SESARMIDAE) FROM KNOR AL-ZUBAIR, SOUTH OF IRAQ
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    Specimens of the sesarmid crab Nanonsesarma sarii  (Naderloo and Türkay 2009) were    collected from the intertidal zone of Khor Al-Zubair, Basrah, Iraq 2012 far from the Arabian Gulf coasts. Morphological features of this species are highlighted and a figure is provided. 

 

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Publication Date
Thu Dec 13 2018
Journal Name
Iraqi National Journal Of Nursing Specialties
The Relationship between Phylogenic Typing and Antimicrobial Susceptibility Patterns forEscherichia coliIsolatedfrom UTIs atMany Hospitals in Baghdad City
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Objective:The current study aime to isolate Escherichia colifrom urinary tract infections(UTIs) in many Baghdad hospitals. The study concentrate on phylogenic groups and this was done based on triplex PCRmethod by primers besieged to three genetic markers, chuA, yjaA and TspE4.C2. Evaluate the relationship of phylogenic groups of E. coli isolates with the antibiotic-non sensitive patterns. Methodology:Four hundredof E.coli bacteria isolated from urine samples from five hospitals in Baghdad city include: Ghazi AL-Hariri, Ibin- Al-Beledi , AL-Iskan , AL-Nooman and AL-Yarmoke hospitals. Phylogenetic categorizatio

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Publication Date
Tue Apr 09 2019
Journal Name
Journal Of The College Of Education For Women
The Role of Civil Society Institutions for the Care of Young People in Iraq ( Possibilities and constraints): A Field Study from the Point of view of University Students
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Besides the role of state institutions that come in the forefront of their priorities and obligations to provide security and development of the economy and reduce the unemployment rate and the reduction of inflation and improving education, health and others, the Community Partnership At frames what has become known as the institutions of society civil-with the state does not eliminate the role, but rather complements its role ; it is the role of civil society partner and an extension of the role of the state in the face of challenges and crises, but it may be sometimes a race role in addressing social, political and economic issues of the role played by the state, not complementary.
The highlighting the specificity of the relationsh

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Publication Date
Sat Jul 01 2023
Journal Name
Iop Conference Series: Earth And Environmental Science
A Statistical Analysis of the Effects of Afforestation on the Environment in Iraq (Northern Iraq)
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Abstract<p>The significance of the research conducted in northern Iraq comes despite the expansion of afforestation projects; yet, the suffering of the forests has increased due to their lack of scientific study, unpredictability of the climate, and adverse effects on the spread and growth of plant species Therefore, the goal of the study is to understand the effects of afforestation through a statistical analysis of plant diversity in northern Iraq and its distinctivenessThe analysis revealed that natural groupings had improved qualitatively more than other groups, particularly some dwindling species that are able to compete and occupy new areas. drought-prone vegetation, vegetation, and climat</p> ... Show More
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Publication Date
Fri Jun 14 2024
Journal Name
The Ukrainian Biochemical Journal
PREX proteins level correlation with insulin resistance markers and lipid profile in obese and overweight non-diabetic patients
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Metabolic dysregulation and obesity are associated with many metabolic alterations, including impairment of insulin sensitivity and dyslipidemia. Recent studies highlight the key role of phosphatidylinositol 3,4,5-triphosphate-dependent Rac exchange proteins (PREX proteins) in the pathogenesis of obesity, advocating further elucidation of their potential therapeutic implications. The present study aimed to estimate the serum level of PREX proteins and its potential association with insulin resistance markers and plasma lipids level in obese and overweight non-diabetic patients. The study included 30 persons classified as obese, 30 as overweight, and 30 healthy individuals of similar age and gender. The levels of PREX1 and PREX2 were

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Publication Date
Sun Jan 05 2025
Journal Name
Science Journal Of University Of Zakho
DETECTION AND RECOGNITION OF IRAQI LICENSE PLATES USING CONVOLUTIONAL NEURAL NETWORKS
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Due to the large population of motorway users in the country of Iraq, various approaches have been adopted to manage queues such as implementation of traffic lights, avoidance of illegal parking, amongst others. However, defaulters are recorded daily, hence the need to develop a mean of identifying these defaulters and bring them to book. This article discusses the development of an approach of recognizing Iraqi licence plates such that defaulters of queue management systems are identified. Multiple agencies worldwide have quickly and widely adopted the recognition of a vehicle license plate technology to expand their ability in investigative and security matters. License plate helps detect the vehicle's information automatically ra

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Publication Date
Sun May 01 2022
Journal Name
Journal Of Engineering
Performance Analysis of different Machine Learning Models for Intrusion Detection Systems
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In recent years, the world witnessed a rapid growth in attacks on the internet which resulted in deficiencies in networks performances. The growth was in both quantity and versatility of the attacks. To cope with this, new detection techniques are required especially the ones that use Artificial Intelligence techniques such as machine learning based intrusion detection and prevention systems. Many machine learning models are used to deal with intrusion detection and each has its own pros and cons and this is where this paper falls in, performance analysis of different Machine Learning Models for Intrusion Detection Systems based on supervised machine learning algorithms. Using Python Scikit-Learn library KNN, Support Ve

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