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Thymoquinone Attenuates Immune Mediated Liver Injury Induced by Concanavalin A in Mice
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Autoimmune hepatitis is an inflammatory disease and its incidence has been increasing. The features of hepatitis are the release of inflammatory cytokines, the elevation of AST and ALT, and hepatocyte apoptosis and necrosis. Concanavalin A considered as essential model represents the acute immune-mediated liver damage in rodents. Thymoquinone is well known herbal compound that exert hepatoprotective, anti-inflammatory, and antioxidant activity. In this study, we focus on the immunoregulatory and liver protective effect of thymoquinone in a mouse model of concanavalin A-induced liver injury.

Twenty-four male mice were randomly divided into four groups each containing six animals: Negative control group, concanavalin A model group, thymoquinone 15mg/kg group, and thymoquinone 30mg/kg group. Blood was collected to detect the activities of alanine transaminase (ALT) and aspartate transaminase (AST) as well as liver tissue for the detection of tumor necrosis factor 

levels, after 8 hours of concanavalin A injection.

Injecting mice with concanavalin resulted in a dramatic increase in serum level of both ALT and AST which indicate severe liver tissue damage with a significant increase in inflammatory cytokines TNF alpha -

and INF  levels, with a notable increase in NF-kB gene expression in mice liver tissue homogenate. Thymoquinone pretreatment revealed a dose-dependent increase in liver tissue protection.

Conclusion: Thymoquinone has hepatoprotective and immune modulatory effects in concanavalin A induced immune mediated liver damage. Thymoquinone exerted its effect through attenuating NF and its downstream effectors TNF  and INF  in a dose dependent manner.

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Publication Date
Sat Aug 31 2019
Journal Name
Iraqi Journal Of Physics
Spectroscopic Diagnostic of Cadmium Sulfide Plasma Produced By LIBS
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Abstract

       The current study was carried out to reveal the plasma parameters such as ,the electron temperature ( ), electron density (ne) , plasma frequency (fp), Debye length ( ) , Debye number (   for  CdS to employ the LIBS for the purpose of analyzing and determining spectral emission lines using . The results of electron temperature for CdS range (0.746-0.856) eV , the electron density(3.909-4.691)×1018 cm-3. Finally ,we discuss plasma parameters of CdS  through  nano second  laser generated plasma .

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Publication Date
Fri Oct 30 2020
Journal Name
Journal Of Economics And Administrative Sciences
Estimate The Survival Function By Using The Genetic Algorithm
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  Survival analysis is the analysis of data that are in the form of times from the origin of time until the occurrence of the end event, and in medical research, the origin of time is the date of registration of the individual or the patient in a study such as clinical trials to compare two types of medicine or more if the endpoint It is the death of the patient or the disappearance of the individual. The data resulting from this process is called survival times. But if the end is not death, the resulting data is called time data until the event. That is, survival analysis is one of the statistical steps and procedures for analyzing data when the adopted variable is time to event and time. It could be d

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Publication Date
Fri Jan 01 2021
Journal Name
Materials Today: Proceedings
Pyrolysis of scrap tire by utilizing zeolite as catalyst
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Publication Date
Mon Sep 30 2024
Journal Name
Iraqi Journal Of Science
Attention-Deficit Hyperactivity Disorder Prediction by Artificial Intelligence Techniques
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Attention-Deficit Hyperactivity Disorder (ADHD), a neurodevelopmental disorder affecting millions of people globally, is defined by symptoms of hyperactivity, impulsivity, and inattention that can significantly affect an individual's daily life. The diagnostic process for ADHD is complex, requiring a combination of clinical assessments and subjective evaluations. However, recent advances in artificial intelligence (AI) techniques have shown promise in predicting ADHD and providing an early diagnosis. In this study, we will explore the application of two AI techniques, K-Nearest Neighbors (KNN) and Adaptive Boosting (AdaBoost), in predicting ADHD using the Python programming language. The classification accuracies obtained w

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Publication Date
Mon Feb 01 2021
Journal Name
Iop Conference Series: Materials Science And Engineering
Separation of oil/water emulsions by microbubble air flotation
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Abstract<p>Oil/water emulsions are one of the major threats to environment nowadays, occurs at many stages in the production and treatment of crude oil. The oil recovery process adopted will depend on how the oil is present in the water stream. Oil can be found as free oil, as an unstable oil/water emulsion and also as a highly stable oil/water emulsion. The current study was dedicated to the application of microbubble air flotation process for the removal of such oily emulsions for its characters of cost-effective, simple structure, high efficiency and no secondary pollution. The influence of several key parameters on the process removal efficiency was examined, namely, initial oil concentration, pH value of t</p> ... Show More
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Publication Date
Sat Mar 30 2002
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
D-Sorbitol Production by Catalytic Hydrogenation of D-Glucose
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Publication Date
Sun Jun 01 2014
Journal Name
Soils And Foundations
Studying collapse potential of gypseous soil treated by grouting
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Publication Date
Fri Feb 17 2012
Journal Name
Smart Materials And Structures
Frequency tuning of piezoelectric energy harvesters by magnetic force
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Publication Date
Tue Jan 01 2019
Journal Name
Energy Procedia
Enhanced efficiency of CdTe Photovoltaic by thermal evaporation Vacuum
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Publication Date
Mon Mar 01 2021
Journal Name
Journal Of Physics: Conference Series
Some Theorems of Fixed Point Approximations By Iteration Processes
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Abstract<p>The purpose of this paper, is to study different iterations algorithms types three_steps called, new iteration, <italic>M</italic> <sup>∗</sup> −iteration, <italic>k</italic> −iteration, and Noor-iteration, for approximation of fixed points. We show that the new iteration process is faster than the existing leading iteration processes like <italic>M</italic> <sup>∗</sup> −iteration, <italic>k</italic> −iteration, and Noor-iteration process, for like contraction mappings. We support our analytic proof with a numerical example.</p>
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