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Study of the Effect of Epipremnum Aureum Extracts and Tribulus Terrestris L. as a Natural Alternative for the use of Industrial Antioxidants
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In this study, two types of local plants were chosen, the first is the plant golden pothos Epipremnum aureum and the second is the Iraqi Sheikh's chin plant Tribulus terrestris L, for the purpose of making a comparison between them in terms of their possession of chemical groups with antioxidant activity in order to use them as a natural alternative to using antioxidants Industrial that cause negative effects on human health, the samples were prepared using the method of water and alcohol extraction (ethanol 70%) for both plants. It revealed the presence of a number of chemical groups (tannins, carbohydrates, phenols, flavonoids, alkaloids) for both plants, the aqueous and alcoholic extracts. Coumarins are only found in the sheikh's chin plant, while steroids are only found in the pothos plant. It was found that the alcoholic extract of the Sheikh's chin plant was best than aqueous extract in terms of antioxidant activity using the DPPH method, as the concentration of 20 mg / ml achieved an effectiveness of 91.2, which is close to control (BHT) 92.3, while the opposite was recorded in the pothos plant as the aqueous extract was better than the alcoholic extract. As the concentration of 20 mg / ml recorded an activity of 89.22, while the alcoholic extract had a significant difference of 65.9, with a significant difference on the level of probability P˂0.01, and for the purpose of demonstrating the efficiency of the process of capturing free radicals of plant extracts, the effective concentration was determined (EC50) and found that the best concentration was achieved to capture 50% of The DPPH complex had an aqueous extract of pothos at 0.5 mg / mL which is very close to the EC50 value for control (vitamin C) followed by the alcoholic extract at 7.75 mg / mL. The Folin-Ciocalteu method was used to find the total content of phenols, it was found that the aqueous extract of the pothos plant had the highest content of phenols as it recorded the highest concentration of 49.33 compared to the alcohol extract 38.05. In contrast to the result of the Sheikh' chin plant, the alcoholic extract recorded the most phenol content at a concentration of 65.11 compared to the aqueous extract which recorded a concentration of 42.15.

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Publication Date
Thu Sep 23 2021
Journal Name
Egyptian Journal Of Chemistry
Some 3,4,5-Trisubstituted-1,2,4-triazole Synthesis, Antimicrobial Activity, and Molecular Docking Studies
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Publication Date
Sun Dec 07 2014
Journal Name
Baghdad Science Journal
Studying Association between Thyroid Disorders and Helicobacter pylori infection in Iraqi Patients
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This study was aimed to investigate the association between thyroid disorder and Helicobacter pylori infection in 122 patients (100 females and 22 males )and for comparison, 60 healthy individuals (31females and 29 males),who had no thyroid disorder, were also included in the study. Blood samples were collected from both patients and the healthier individuals. Enzyme Linked Fluorescent Assay (ELFA) technique through using Vitek Immuno Diagnostic Assay System (VIDAS) was applied to measure levels of the thyroid hormones (tri-iodothyronine T3, tetra-iodothyroxine T4) and thyroid stimulating hormone (TSH). From the results obtained, patients were classified into three groups: 40 were

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Publication Date
Tue Dec 07 2021
Journal Name
2021 14th International Conference On Developments In Esystems Engineering (dese)
Content Based Image Retrieval Based on Feature Fusion and Support Vector Machine
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Publication Date
Sun Jun 12 2011
Journal Name
Baghdad Science Journal
Satellite Images Unsupervised Classification Using Two Methods Fast Otsu and K-means
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Two unsupervised classifiers for optimum multithreshold are presented; fast Otsu and k-means. The unparametric methods produce an efficient procedure to separate the regions (classes) by select optimum levels, either on the gray levels of image histogram (as Otsu classifier), or on the gray levels of image intensities(as k-mean classifier), which are represent threshold values of the classes. In order to compare between the experimental results of these classifiers, the computation time is recorded and the needed iterations for k-means classifier to converge with optimum classes centers. The variation in the recorded computation time for k-means classifier is discussed.

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Publication Date
Sat Mar 14 2020
Journal Name
Medico-legal Update,
Fasting Versus Non-Fasting in Assessing Lipid Profile and Complete Blood Picture
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Publication Date
Fri Sep 23 2016
Journal Name
Spie Proceedings
Quantifying charge trapping and molecular doping in organic p-i-n diodes
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Publication Date
Sat Oct 31 2020
Journal Name
Iraqi Journal Of Agricultural Sciences
RELATIONSHIP BETWEEN PIGMENTS PRODUCTION AND BIOFILM FORMATION FROM LOCAL PSEUDOMONAS AERUGINOSA ISOLATES
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The current study was designed to explore the association between the pigments production and biofilm construction in local Pseudomonas aeruginosa isolates. Out of 143 patients suffering from burns, urinary tract infections (UTI), respiratory tract infections and cystic fibrosis obtained from previous study by Mahmood (2015), twenty two isolates  (15.38%) were identified  from (11) hospitals in Iraq, splitted  into three provinces, Baghdad, Al-Anbar and Karbala for the duration of June 2017 to April 2018.  Characterization was carried out by using microscopical, morphological and biochemical methods which showed that all these isolates belong to P. aeruginosa.  Screening of   biofilm production isolates was carried out by usi

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Publication Date
Wed Dec 08 2021
Journal Name
Scientific Reports
Weakly Supervised Sensitive Heatmap framework to classify and localize diabetic retinopathy lesions
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Abstract<p>Vision loss happens due to diabetic retinopathy (DR) in severe stages. Thus, an automatic detection method applied to diagnose DR in an earlier phase may help medical doctors to make better decisions. DR is considered one of the main risks, leading to blindness. Computer-Aided Diagnosis systems play an essential role in detecting features in fundus images. Fundus images may include blood vessels, exudates, micro-aneurysm, hemorrhages, and neovascularization. In this paper, our model combines automatic detection for the diabetic retinopathy classification with localization methods depending on weakly-supervised learning. The model has four stages; in stage one, various preprocessing techniques are app</p> ... Show More
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Publication Date
Mon Jan 01 2024
Journal Name
Fusion: Practice And Applications
Optimizing Task Scheduling and Resource Allocation in Computing Environments using Metaheuristic Methods
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Optimizing system performance in dynamic and heterogeneous environments and the efficient management of computational tasks are crucial. This paper therefore looks at task scheduling and resource allocation algorithms in some depth. The work evaluates five algorithms: Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Firefly Algorithm (FA) and Simulated Annealing (SA) across various workloads achieved by varying the task-to-node ratio. The paper identifies Finish Time and Deadline as two key performance metrics for gauging the efficacy of an algorithm, and a comprehensive investigation of the behaviors of these algorithms across different workloads was carried out. Results from the experiment

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Publication Date
Sun Mar 04 2012
Journal Name
Baghdad Science Journal
C-Reactive Protein and Cholesterol level In Male Type 2 Diabetic Patients.
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Elevated C-Reactive Protein (CRP) level in serum is a risk factor for type 2 diabetes ,this relationship is likely to be the cause it means elevated CRP leads to T2D in future . Our objective was to examine CRP in male Type 2 Diabetes(T2D) patients in different age ,we studied 120 male subjects divided to two groups according to their age. First group A age (31 - 40) year old ,60 person )30 control & 30 T2D patients(,3 person for each same age: second group B age (41 – 50) years old ,60 person )30 control & 30 T2D patients(,3 person for each same age. We examined blood sugar ,cholesterol and CRP in each group. and we toke the mean of samples in the same age in each data in all the 4 groups. Our data shows that CRP

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