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bijps-1486
Ameliorative Effect of Galium Verum (Rubiaceae Family) Methanolic Extract on Folic Acid-induced Acute kidney Injury in Male Rats.
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Background: Antioxidant, sedative, anticancer, and antibacterial properties are among the numerous pharmacological characteristics of Galium verum. Aim: The primary goal of this research was to investigate the therapeutic effects of G. verum extract against folic acid-induced acute kidney injury (AKI). Materials and methods: 18 male rats were assigned into three groups:  Control, AKI, and G. verum. AKI was induced by a dose of folic acid (250 mg/kg, i.p.) while G. verum (250 mg/kg) was administrated for 7 consecutive days. Results: G. verum methanol extract contains flavonoids, anthraquinones, tannins, iridoids, triterpenes, steroids, phenols, and saponins, while it free of cardiac glycosides and alkaloids. G. verum extract significantly decreased levels of creatinine, urea, uric acid, sodium, chloride, potassium, microalbumin, malondialdehyde and nitric oxide while it increased creatinine clearance, glutathione reduced, and catalase levels. Meanwhile, histological examination of the kidney’s tissues revealed apparently normal structure. Conclusions: Underlying renal therapeutic mechanisms of G. verum action include a diuretic, antioxidant, and anti-inflammatory properties of G. verum extract resulting in improving kidney structure and enhance recovery of renal function.

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Publication Date
Tue Jan 16 2018
Journal Name
International Journal Of Science And Research (ijsr)
The Effect of Woods' Strategy on Achieving of Second Grade Students in Physics
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: The aim of this research is to investigate the impact of Woods ' strategy in collecting second graders average for physics. To achieve the objective researcher coined the following hypothesis: there was no statistically significant difference at a level (0.05) between the average grades of the experimental group students studying physics as Woods and strategy between the average control group students who are studying the same article in the regular way. Test collection. Search sample amounted to (83) students and (42) students for the experimental group, and (41) students for the control group. Students were subjected to test experiment is composed of (30) after the completion of the experiment. And use appropriate statistical methods re

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Publication Date
Mon Sep 30 2024
Journal Name
Iraqi Journal Of Science
Effect of Atmospheric Mixing on Spectral Reflectivity in Sentinel Images of Baghdad Province
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The lowest layer of the atmosphere is called the atmospheric mixed layer, characterized by small-scale, irregular air motions defined by winds that change in speed and direction. Aerosol radiative effects impact the atmospheric boundary layer (ABL), which holds most aerosols in the lower atmosphere. Aerosol absorption and scattering both lower the quantity of solar energy that reaches the ground, which has an impact on the spectral signature of the land coverings. In this study, 51 locations in downtown Baghdad were chosen for four different types of land cover (water bodies, farms, open areas, and residential areas) for Sentinel 2 satellite imagery, and the time the pictures were taken was 8:00 am ( 22 March, 22 June, 20 September,

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Publication Date
Thu Jun 27 2024
Journal Name
Journal Of Image And Graphics
ALL-FABNET: Acute Lymphocytic Leukemia Segmentation Using a Flipping Attention Block Decoder-Encoder Network
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Melanoma, a highly malignant form of skin cancer, affects individuals of all genders and is associated with high mortality rates, especially in advanced stages. The use of tele-dermatology has emerged as a proficient diagnostic approach for skin lesions and is particularly beneficial in rural areas with limited access to dermatologists. However, accurately, and efficiently segmenting melanoma remains a challenging task due to the significant diversity observed in the morphology, pigmentation, and dimensions of cutaneous nevi. To address this challenge, we propose a novel approach called DenseUNet-169 with a dilated convolution encoder-decoder for automatic segmentation of RGB dermascopic images. By incorporating dilated convolution,

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Publication Date
Sat Jan 01 2022
Journal Name
Revista Electronica De Veterinaria
Antibacterial and Anti Biofilm activity of Eucalyptus Plant Extract Spp
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Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
Anti –phytopathogenic Activities of Cladophora glomerata extract against plant fungi
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The antiphytopathogenic effects of the crude methanol extract of Cladophora glomerata (Lin.) Kützing (Cladophoraceae) which isolated from Al Rashidiya region at north of Baghdad was investigated against two type of plant fungi (Pythium altimum and Rhizoctonia solani) which causes damping off disease where isolated from covered cucumber field in Al-Alyosifia region. Hot methanol extract showed antifungal activity against the two species of fungi in different concentrations(10,25,50 mg/ml) of extract to Cladophora glomerata as percentage inhibition (51.63 ,72.8 ,83.71) and (56.18 ,77.41 ,100)comparing with Pythium altimum and Rhizoctonia solani respectively .primary detection of active compounds showed that macroalgae (Cladoph

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Publication Date
Fri Apr 15 2022
Journal Name
Indian Journal Of Ecology
Antibacterial Activity of Laurus nobilis Leaves Extract against Pseudomonas aeruginosa
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The aim of this study is to evaluating the antibacterial activity of Laurus nobilis leaves extract in hospital environment isolates. Maceration and Soxhlet apparatus were used to prepare aqueous and methanolic extracts. The total phenolic content and high-performance liquid chromatography (HPLC) were conducted to determine the active compounds in the extracts. The results showed that the methanolic and aqueous extracts contain four flavonoids derivatives (kaempferol, luteolin, quercetin and Rutin) were identified on the basis of matching retention time with the standards. The total phenolic contents were 56.81 and 81.56 mg/g in 50 mg/ml, in aqueous and methanolic extracts respectively. The antibacterial activity of Laurus nobilis leaves ext

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Publication Date
Thu Mar 31 2022
Journal Name
Ecology, Environment And Conservation
Antitumor and antioxidant activity of Aloe vera leaf gel extract
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The purpose of the study was to determine the in-vitro antitumor and antioxidant activity of Aloe vera gel extract by evaluating the cytotoxic effect of extract and Zoladex (goserelin) on breast cancer cell line (MCF-7) and prostate cancer cell line (PC-3), in addition to measure the antioxidant activity to find out this kind of anticancer drug, which is a cheap, safe, less toxic, and more active drug contrasted to chemotherapy drug. The cytotoxic effect evaluated by cytotoxicity assay (MTT assay), while the activity of the Aloe Vera gel as antioxidant was tested using a scavenging test of free radical (2,2-Diphenyl-1-picrylhydrazyl) (DPPH), ferric reducing antioxidant potential (FRAP) and (Oxygen Radical Absorbance Capacity)(ORAC).

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Publication Date
Mon Mar 08 2021
Journal Name
Baghdad Science Journal
Study the effectiveness of crude aqueous extract of the chamomile plant in uterine contractions and miscarriage in mice eggs
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Publication Date
Sun Dec 01 2024
Journal Name
Cancer Epidemiology
The association of combined GSTM1, GSTT1, and GSTP1 genetic polymorphisms with lung cancer risk in male Iraqi Waterpipe Tobacco (Nargila) smokers
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Mutations in genes encoding proteins necessary for detoxifying oxidative stress products have been predicted to increase susceptibility to lung cancer (LC). Despite this, the association between waterpipe tobacco smoking (WP), genetic polymorphisms, and LC risk remains poorly understood. This is the first study to explore the relationship between WP tobacco smoking and these genetic factors. Previously, we investigated the association of GSTP1 SNPs (rs1695-A/G and rs1138272-C/T) with LC in Iraqi males who smoke WP. Here, we expanded our analysis to include GSTM1 (active/null) and GSTT1 (active/null) genotypes, both individually and in combination with GSTP1 SNPs. Multiplex PCR and RFLP-PCR assays were utilized to determine the genotypes of

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Publication Date
Thu Nov 03 2022
Journal Name
Sensors
A Novel Application of Deep Learning (Convolutional Neural Network) for Traumatic Spinal Cord Injury Classification Using Automatically Learned Features of EMG Signal
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In this study, a traumatic spinal cord injury (TSCI) classification system is proposed using a convolutional neural network (CNN) technique with automatically learned features from electromyography (EMG) signals for a non-human primate (NHP) model. A comparison between the proposed classification system and a classical classification method (k-nearest neighbors, kNN) is also presented. Developing such an NHP model with a suitable assessment tool (i.e., classifier) is a crucial step in detecting the effect of TSCI using EMG, which is expected to be essential in the evaluation of the efficacy of new TSCI treatments. Intramuscular EMG data were collected from an agonist/antagonist tail muscle pair for the pre- and post-spinal cord lesi

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