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Immunohistochemical expression of P53, as a marker of apoptosis in Hodgkin’s and Non Hodgkin’s lymphoma of the head and neck region
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Background: Malignant lymphomas represent about 5% of all malignancy of the head and neck region which can involve lymph nodes as well as soft tissue and bone of the maxillofacial region. Apoptosis is considered a vital component of various processes including normal cell turnover, proper development and functioning of the immune system. Inappropriate apoptosis is a factor in many human conditions including neurodegenerative diseases, ischemic damage, autoimmune disorders and many types of cancer. Expression of p53 Proteins in Hodgkin׳s and Non Hodgkin׳s lymphomas suggested that it can help in monitoring of patients and the markers may aid in controlling the progression of lymphoma and detect the degree of aggressiveness of the disease to give suitable treatment and management of patients. Material and methods: Sixty seven formalin-fixed, paraffin-embedded tissue, histopathologically diagnosed lymphoma blocks (head and neck lesions) as (24) Hodgkin’s Lymphoma and (43) Non Hodgkin’s Lymphoma. Immunohistochemical (IHC) technique was used for the evaluation of P53 monoclonal antibodies expression and correlated with the clinicopathological parameters. Results: The mean of expression of P53 in relation to tumor grades was different as it had a value of (51.2±13.5) in low grade tumors, (55.7±20) in the intermediate grade tumor and (45±17.6) in high grade tumors; consequently, this difference did not reached the level of statistical significance P(ANOVA) >0.05. Conclusions: This study had shown that there was no significant correlation between the mean of expression of P53 in HL and NHL.

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Publication Date
Wed Jan 01 2020
Journal Name
Euromediterranean Biomedical Journal
ESCHERICHIA COLI O157: H7 INVESTIGATION IN CHILDREN WITH DIARRHEA: AN IRAQI CROSS-SECTIONAL STUDY
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NA Nasir, SHM Ali, HQMA AL-Ess, WA Hussein, MKW Al-Janabi, KIA Mohammed, JM Mosa, Euromediterranean Biomedical Journal, 2020

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Scopus
Publication Date
Thu Apr 09 2020
Journal Name
International Journal Of Agricultural And Statistical Sciences
Host plant resistance, chili pepper to whitefly, Bemisia tabaci (gennadius) (Hemiptera: Aleyrodidae) in field
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A field study was conducted in Al-Khalis district, Diyala Governorate in 2019 to test the sensitivity of three varieties of pepper to the population density of the whitefly B. tabaci, Anaheim pepper, Aleppo and local variety, and the results showed that the Anaheim variety was the most infested with the whitefly density 4.08 whitefly/ leaf and then the local variety 2.7 whitefly/ leaf. The lowest population density was 1.25 whitefly/ leaf of Aleppo variety. Variety Aleppo also recorded the lowest percentage of whitefly infection B. tabaci of 39.22%, but not have significant differences in the percentage of whitefly infestation, as it reached 53.64% and 54.85% for the Anaheim and local varieties, respectively. The resistance of variety Alepp

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Scopus
Publication Date
Sat Sep 30 2023
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Identifying Average Reservoir Pressure in Multilayered Oil Wells Using Selective Inflow Performance (SIP) Method
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The downhole flow profiles of the wells with single production tubes and mixed flow from more than one layer can be complicated, making it challenging to obtain the average pressure of each layer independently.  Production log data can be used to monitor the impacts of pressure depletion over time and to determine average pressure with the use of Selective Inflow Performance (SIP). The SIP technique provides a method of determining the steady state of inflow relationship for each individual layer. The well flows at different stabilized surface rates, and for each rate, a production log is run throughout the producing interval to record both downhole flow rates and flowing pressure. PVT data can be used to convert measured in-situ r

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Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
Exploring Important Factors in Predicting Heart Disease Based on Ensemble- Extra Feature Selection Approach
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Heart disease is a significant and impactful health condition that ranks as the leading cause of death in many countries. In order to aid physicians in diagnosing cardiovascular diseases, clinical datasets are available for reference. However, with the rise of big data and medical datasets, it has become increasingly challenging for medical practitioners to accurately predict heart disease due to the abundance of unrelated and redundant features that hinder computational complexity and accuracy. As such, this study aims to identify the most discriminative features within high-dimensional datasets while minimizing complexity and improving accuracy through an Extra Tree feature selection based technique. The work study assesses the efficac

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Publication Date
Sun Jun 05 2016
Journal Name
Baghdad Science Journal
Developing an Immune Negative Selection Algorithm for Intrusion Detection in NSL-KDD data Set
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With the development of communication technologies for mobile devices and electronic communications, and went to the world of e-government, e-commerce and e-banking. It became necessary to control these activities from exposure to intrusion or misuse and to provide protection to them, so it's important to design powerful and efficient systems-do-this-purpose. It this paper it has been used several varieties of algorithm selection passive immune algorithm selection passive with real values, algorithm selection with passive detectors with a radius fixed, algorithm selection with passive detectors, variable- sized intrusion detection network type misuse where the algorithm generates a set of detectors to distinguish the self-samples. Practica

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Publication Date
Tue Jan 14 2025
Journal Name
South Eastern European Journal Of Public Health
Deep learning-based threat Intelligence system for IoT Network in Compliance With IEEE Standard
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The continuous advancement in the use of the IoT has greatly transformed industries, though at the same time it has made the IoT network vulnerable to highly advanced cybercrimes. There are several limitations with traditional security measures for IoT; the protection of distributed and adaptive IoT systems requires new approaches. This research presents novel threat intelligence for IoT networks based on deep learning, which maintains compliance with IEEE standards. Interweaving artificial intelligence with standardization frameworks is the goal of the study and, thus, improves the identification, protection, and reduction of cyber threats impacting IoT environments. The study is systematic and begins by examining IoT-specific thre

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Publication Date
Sat Apr 01 2023
Journal Name
Journal Of Applied Hematology
Molecular Alterations in IDH 1/2 Genes among Iraqi Adult Acute Myeloid Leukemia Patients
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BACKGROUND:

The recurrent somatic variations in IDH1/2 genes in AML play imperative roles in epigenetic dysregulation and the pathogenesis of AML, which could be useful prognostic markers for risk stratification.

AIM:

The aim of the study was to detect the frequency of R132 mutations in the IDH1 gene and R140Q mutation in the IDH2 gene with their treatment outcomes.

PATIENTS
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Publication Date
Thu Oct 01 2020
Journal Name
Biochemical And Cellular Archives
MODERN PHAGE MODULATION STRATEGY ON VANCOMYCIN-RESISTANT ENTEROCOCCI (VRE) RECOVERED FROM MASTITIS IN BAGHDAD
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Potential pattern of foodborne bacteriophages against multidrug-resistant pathogens was a promising hygienic strategy module. Post-antibiotics era becomes evident due to emerging of dramatic episodes of infectious foci harboring biofilm and multidrug-resistant pathogens transferred mainly throughout food chain. Vancomycin-resistant enterococci (VRE) were struggling among these new infectious emergencies. Phenotypic epigenetic transit tolerant drift cascaded by genetic resistant shift behaviors of recalcitrant VRE forbidden clones recovered from mastitis cases in Cows from territories of Abu-Ghraib, Al- Fudhaliyah and Al-Sadrya in Baghdad ecosystem were combated by redirected lytic bacteriophages cocktails recovered from the same raw-milk ec

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Scopus
Publication Date
Fri Aug 01 2014
Journal Name
Journal Of Economics And Administrative Sciences
Constructing Quality House To Improve Health Services – an applied research in Educational Baghdad Hospital
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     Quality function deployment tool is trying to improve health services through this study that will be applied in health sector environment , and be based on applying quality function deployment tool (QFD) TO preferable evaluation of main patients requirements in order to determine the technical requirements that need most attention across improving and developing health services .                

   Main requirements are determined to patients lying in the hospital (under research) which is (educational Baghdad \ medicine city office) in Baghdad, and other technical requirements through pers

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Publication Date
Thu Mar 30 2017
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
In Vitro Cytotoxic Study for Purified Resveratrol Extracted from Grape Skin Fruit Vitis vinifera
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This study  was  conducted  with the  aim to  extract and  purify  a  polyphenolic  compound  â€œ Resveratrol” from the skin of black grapes Vitis vinifera cultivated in Iraq. The purified resveratrol is obtained after ethanolic extraction with 80% v/v solution for fresh grape skin, followed by acid hydrolysis   with   10%   HCl   solution then   the  aglycon   moiety   was  taken  with   organic   solvent

( chloroform). Using silica gel G60 packed glass column chromatography with mobile phase benzene: methanol: acetic acid  20:4:1 a

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