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Antimicrobial Activities of Aqueous and Methanolic Extracts from Salvia officinalis and Salix acmophylla Used in the treatment of wound infection isolates

    The aqueous and methanol extracts of Salvia officinals and Salix acmoplylla traditionally used for the treatment of infections disease were tested for their active  against gram positive and gram negative bacteria isolated from wound  infection culture using the broth dilution and disc diffusion melhod. Results of   this study revealed the prescence of phytochemical which were  active  against gram positive and negative bacteria. Methanol extracts of both plants showed  the highest activity other the aqueous extract. The minimum inhibitory concentration (MIC) of the aqueous extracts on the test organism was  25- 100 mg\ml,while that of the  methanol extract was ranged between 25 -50 mg\ml on the test organisms, the minimum bacterial concentration (MBC)  ranging between 25-100 mg\ml for methanol  extract , and 25-200 mg\ml for aqueous extracts. The highest activity  at 100 and 121 oC was demonstrated by the methanol extracts of Salix acmophylla against Staphylococcus  aureus and Klebsiella spp. While in methanol extracts of Salvia officinalis the 45 oC was the effective temperature. In this study plants extracts against gram negative  bacteria showed activity in acidic pH only in contrast  of gram positive bacteria which were constant in all   plants extract . Salvia officinalis contained essential  elements at higher levels than Salix acmoplylla .Ca and Zn were present of high levels in Salix acmoplylla than other. The results of this study suggest the possibility of using the methanolic extracts of these plants in treating diseases caused by the test organisms, especially when prepared at acidic pH.

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Publication Date
Tue Dec 01 2015
Journal Name
Journal Of Engineering
Ten Years of OpenStreetMap Project: Have We Addressed Data Quality Appropriately? – Review Paper

It has increasingly been recognised that the future developments in geospatial data handling will centre on geospatial data on the web: Volunteered Geographic Information (VGI). The evaluation of VGI data quality, including positional and shape similarity, has become a recurrent subject in the scientific literature in the last ten years. The OpenStreetMap (OSM) project is the most popular one of the leading platforms of VGI datasets. It is an online geospatial database to produce and supply free editable geospatial datasets for a worldwide. The goal of this paper is to present a comprehensive overview of the quality assurance of OSM data. In addition, the credibility of open source geospatial data is discussed, highlight

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Publication Date
Wed Jan 01 2020
Journal Name
International Conference Of Numerical Analysis And Applied Mathematics Icnaam 2019
Synthesis of nanostructure diamond-like carbon thin films by atmospheric pressure plasma jet

In this work, diamond-like carbon (DLC) thin films were prepared from Cyclohexane. Thin films were deposited on quartz substrate by atmospheric pressure Argon plasma jet system. The plasma jet system was applying high voltage sinusoidal waves of frequency 28 kHz and potential difference of 7.5kV peak to peak across the electrodes. The effect of annealing at 400, 500 and 600 °C under vacuum for two hours on optical properties and structural properties of the DLC thin films were investigated. This effect was clarified by X-ray diffraction (XRD), FTIR, UV-Visible absorption, Scanning Electron Microscopy (SEM) and Raman Spectroscopy. The X-ray diffraction patterns for the annealing DLC thin films show two broad peaks at 2θ, 26.62° and 51.58

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Publication Date
Sun Dec 29 2019
Journal Name
Iraqi Journal Of Science
On A Certain Class of Meromorphic Multivalent Functions Defined by Fractional Calculus Operator

    In this work, we study a new class of meromorphicmultivalent functions, defined by fractional differ-integral operator.We obtain some geometricproperties, such ascoefficient inequality, growth and distortion bounds, convolution properties, integral representation, radii of starlikeness, convexity, extreme pointsproperties, weighted mean and arithmetic meanproperties.

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Publication Date
Sat Dec 30 2023
Journal Name
Iraqi Journal Of Science
Knoevenaqgel Condensation of Trans-3-(2-furyl ) Acroline with Heterocyclic Active Methylene Compounds

A new route of knoevenagel condensation for trans-3-(2-furyl)acroline with Rhodanine, Barbituric acid ,Thiazolidine-2,4-dione and 2-Thiohydantoin,in the presence of cetyltrimethylammoniumbromide(CTMAB) at room temperature in water .

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Publication Date
Tue Dec 01 2009
Journal Name
Iraqi Journal Of Physics
Fractional Free Volume Dependence of Neutron-Irradiated Polystyrene (PS) Measured by Positron Method

The fractional free volume (Fh) in polystyrene (PS) as a function of neutron -irradiation dose has been measured, using positron annihilation lifetime (PAL) method. The results show that Fh values decreased with increasing n-irradiation dose up to a total dose of 501.03× 10-2 Gy.
A percentage reduction of 2.14 in Fh values is noticed after the initial n-dose corresponding to a percentage reduction in the free volume equal to 42.14/Gy.
The total n-dose induces a percentage reduction of 7.26, corresponding to a percentage reduction of 1.45/Gy. These results indicate that cross -linking is the predominant process induced by n-irradiation.
The results suggest that n-irradiation induces structure changes in PS, causing cross-linking

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Publication Date
Mon Jan 25 2021
Journal Name
Engineering And Technology Journal
Performance evaluation of Photovoltaic Panels by a Proposed Automated System Based on Microcontrollers

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Publication Date
Sat Apr 15 2023
Journal Name
Journal Of Robotics
A New Proposed Hybrid Learning Approach with Features for Extraction of Image Classification

Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class

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Publication Date
Sat Feb 19 2022
Journal Name
Intelligent Service Robotics
Dynamic performance of a series elastic actuator with variable stiffness logarithmic spiral spring

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Publication Date
Sun Jun 01 2014
Journal Name
International Journal Of Advanced Research In Computer Science And Software Engineering
Medical Image Compression using Wavelet Quadrants of Polynomial Prediction Coding & Bit Plane Slicing

Publication Date
Mon Aug 20 2018
Journal Name
Physical Review E
Dynamical density-functional-theory-based modeling of tissue dynamics: Application to tumor growth

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