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Evaluation the Incidence of Genotoxic Effects of Artificial Food Favoring Additives in Bone Marrow Cells and Spleen Cells in Mice
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Genetic material is the most important component of cells because it contains the genetic information; hence any disruption to the structure chromosome of cells could lead to very bad results. Genotoxicity use to evaluate the safety of any chemical compounds on genetic materials. Artificial food flavoring additive are chemical substances to produce specific placebo effects added to foods but impart specific flavor to it.

The present study evaluates the genotoxic effect of artificial food flavoring additive on structure of chromosomes at three different concentrations (50%, 100%and 150%) on both bone marrow cells and spleen cells in mice for fourteen successive days. It was found that artificial food flavoring additive at concentration (50% and 100%) show not significant increase in total chromosomal aberration in both bone marrow cells and spleen cells when compare to negative control (p>0.05) meanwhile at concentration 150% it causes a significant increase when compare to negative control (p<0.05) .The results have been showed that artificial food flavoring additive had a genotoxic effect at (50%, 100% and 150%).

 

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Publication Date
Tue Dec 01 2020
Journal Name
Journal Of Economics And Administrative Sciences
Fuzzy Analytic Hierarchy Process FEAHP to Prioritize The Evaluation of The Main and Subsidiary Criteria in B2B Industrial Market Sectors – Applied Research
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The research aims to define the main and subsidiary criteria for evaluating the industrial market sectors and proposing a model for arranging these criteria according to priority and knowing the highest criteria in terms of relative importance in the General Company for Automobile Trade and Machinery, and for the purpose of establishing this model, experiences in the concerned company were approved, and this study proposes a multi-criteria decision model According to the FEAHP, the expanded fuzzy hierarchical analysis method enables the commercial company to develop clear strategic policies on which the company’s management system depends on determining criteria for evaluating and selecting market sectors and making appropriate

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Publication Date
Mon Oct 01 2018
Journal Name
Conference: First International Conference On Water Resources
Modeling BOD of the Effluent from Abu-Ghraib Diary Factory using Artificial Neural Network October 2018
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The proper operation, and control of wastewater treatment plants, is receiving an increasing attention, because of the rising concern about environmental issues. In this research a mathematical model was developed to predict biochemical oxygen demand in the waste water discharged from Abu-Ghraib diary factory in Baghdad using Artificial Neural Network (ANN).In this study the best selection of the input data were selected from the recorded parameters of the wastewater from the factory. The ANN model developed was built up with the following parameters: Chemical oxygen demand, Dissolved oxygen, pH, Total dissolved solids, Total suspended solids, Sulphate, Phosphate, Chloride and Influent flow rate. The results indicated that the constructed A

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Publication Date
Fri Jan 01 2021
Journal Name
Environmental Pollution
Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models
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Publication Date
Thu Jul 11 2019
Journal Name
Journal Port Science Research
Evaluation Activity of Alanine Aminopeptidase (AAP) in Patients with Renal Dialysis, Purification and Isolation of Isoenzymes
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Publication Date
Fri Oct 20 2023
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Evaluation of CRP, IL-6 and Calprotectin in Saliva of Patients Suffering From Crohn’s Disease (CD)
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Inflammatory bowel disease (IBD) a chronic inflammatory condition of the gastrointestinal tract characterized by alternating episodes of clinical relapse and remission  (Wallace, 2014), with Crohn's disease (CD) and ulcerative colitis (UC) being the two primary subtypes  (Souza, 2016).  The present study was achieved in Baghdad teaching hospital from November 2021 to June  2022 to prove if the diagnostic marker of Crohn’s disease (CD) (IL-6, CRP and Calprotectin( are rises in saliva as in sera and if there are significant difference in the levels of those markers between the Crohn’s disease (CD)group and control group.

The recent study was measured the levels of C-reactive protein (CRP), Interleukin-6 (IL6

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Publication Date
Sat Jul 01 2023
Journal Name
Iop Conference Series: Earth And Environmental Science
Evaluation of Sticky Traps and Baits in Control of Melon Fly, Dacus frontalis Becker on Melon
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Abstract<p>The <italic>Dacus frontalis</italic> Becker is known species, being an agricultural pest. It has been attacked <italic>Cucumis melo</italic> L. Sticky traps and baits have been used as one of effective integrated control methods to monitor different types of insects. It is way to know population density of insects. For sticky traps, the average number of adults of insects caught in yellow, Transparent, blue and red traps was 15.72, 9.50, 4.67, 3.17 adults\ trap\ six weeks respectively. However, for baits, results have been recorded that average numbers of adults caught in traps were 13.67, 10.00, 9.17, 7.75, 50.6, 2.50 adult/trap. The results have been recorded tha</p> ... Show More
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Publication Date
Wed May 17 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Evaluation of α1-Antitrypsine and Reduced Glutathione in Iraqi Patients of Diabetes Mellitus Type II.
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In order to investigate the levels of reduced glutathione GSH and  α1-antitrypsine in the sera of 20 type 2 diabetic patients and 10 healthy subjects, were enrolled in this study. A significant reduction in GSH level was found in the patient group compared with control.  On the other hand a significant elevation in α1-antitrypsine in patient compared with control was observed.  Correlation between α1-antitrypsine and reduced glutathion was found to be positive (+Ve) for diabetes mellitus type2 patients and negative (-Ve) for healthy control with r values 0.257 and – 0.339 respectively.  In conclusion the depletion of GSH as antioxidant defense insured higher free radical generation in diabetic patients

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Publication Date
Wed Aug 09 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Immunization of White Mice against Hydatid Cyst Using Antigen B and Excretion - Secretion Antigen
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      The aim of this study was  toward the possibility of producing antigen that has  the ability to stimulate the immune response against the infection with the  hydatid cyst. To do so antigens were extracted from sheep hydatid cyst fluid of  Echinococcus granulosus .These were: 1- The hydatid cyst fluid called antigen B. 2- Excretion-secretion called ES antigen. 3-B/ES antigen is a mixture (1:1) of the above two antigens. Three concentrations   (15, 30 and 60 µg/ml) from antigen B/ES were prepared to immunize the white mice (males)  with 20 µg/gr body weight and one booster dose  (10 µg/gr) to stimulate immunity.      The efficiency of t

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Publication Date
Mon Nov 11 2019
Journal Name
Day 3 Wed, November 13, 2019
Drill Bit Selection Optimization Based on Rate of Penetration: Application of Artificial Neural Networks and Genetic Algorithms
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Abstract<p>The drill bit is the most essential tool in drilling operation and optimum bit selection is one of the main challenges in planning and designing new wells. Conventional bit selections are mostly based on the historical performance of similar bits from offset wells. In addition, it is done by different techniques based on offset well logs. However, these methods are time consuming and they are not dependent on actual drilling parameters. The main objective of this study is to optimize bit selection in order to achieve maximum rate of penetration (ROP). In this work, a model that predicts the ROP was developed using artificial neural networks (ANNs) based on 19 input parameters. For the</p> ... Show More
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Publication Date
Fri Apr 30 2021
Journal Name
Eastern-european Journal Of Enterprise Technologies
Implementation of artificial neural network to achieve speed control and power saving of a belt conveyor system
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According to the importance of the conveyor systems in various industrial and service lines, it is very desirable to make these systems as efficient as possible in their work. In this paper, the speed of a conveyor belt (which is in our study a part of an integrated training robotic system) is controlled using one of the artificial intelligence methods, which is the Artificial Neural Network (ANN). A visions sensor will be responsible for gathering information about the status of the conveyor belt and parts over it, where, according to this information, an intelligent decision about the belt speed will be taken by the ANN controller. ANN will control the alteration in speed in a way that gives the optimized energy efficiency through

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