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Evaluation influence of extract of Terfezia claveryi desert truffle, pezizaceae, against Streptococcus pneumoniae, in vivo
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Publication Date
Mon Apr 23 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Antifungal Activity of Solanum nigrum Extract Against Microsporum canis, The Causative Agent of Ring Worm Disease
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    The present study was performed to evaluate the anti-fungal effect of alcoholic extract of Solanum nigrum (AESn) on the growth of Microsporum canis, the causes agent of ring worm. The results of this work referred to the inhibitory effect of the studied extract on the growth of tested fungi. The percentages of inhibition were (7.88 %, 19.88%, 23.41%, 57.65%), in comparison to the control, when (2%, 4%, 6%,8% ) of tested extract were used, respectively. The data illustrated that the higher concentrations of the extract are applied, the more inhibition of fungal growth is produced. 

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Publication Date
Thu Mar 15 2018
Journal Name
Journal Of Baghdad College Of Dentistry
Sensitivity of Streptococcus mutans to Selected Nanoparticles (in Vitro Study)
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Background: Nanoparticles are clusters of atoms in a size range from (1-100) nm. Nano dentistry creates amazing useful structures from individual atoms or molecules (nanoparticles), which provides a new alternative and a possibly superior strategy in prevention and treatment of dental caries through management of dental plaque biofilms. The aim of the study was to test the sensitivity of Streptococcus mutans to different concentrations of hydroxyapatite and iron oxide nanoparticles suspension solutions, in comparison to chlorhexidine, and de-ionized water, in vitro. Materials and methods: Agar well technique was applied to test the sensitivity of Streptococcus mutans to different concentrations of hydroxyapatite and iron oxide nanoparticle

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Publication Date
Fri Apr 19 2019
Journal Name
Plant Archives
NEW INTERESTING RECORDS OF THREE SPECIES FROM PEZIZACEAE AND PYRONEMATACEAE FAMILIES (PEZIZALEA, ASCOMYCOTA) TO KURDISTAN REGION – IRAQ
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The survey was carried out From January to April of 2018 on macrofungi samples collected from different places in Halabja province located in north eastern parts of Iraq-Kurdistan region. This region is rich in forest trees and pasture lands with diversity of shrubs and herbs and is expected to support the growth of several macro fungal species. However, this part of Kurdistan in Iraq is still unexplored from macrofungal point of view. In this paper three species from Pezizaceae and Pyronemataceae families that belonging to (Pezizales, Ascomycota), were reported from Iraqi Kurdistan. These macrofungal species are recorded for the first time from Iraq. Also the species were identified and showing their locations distributed on a map prepared

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Publication Date
Fri Mar 22 2019
Journal Name
Journal Of Pharmaceutical Sciences And Research
Evaluation of the efficacy of caries removal using papain gel (Brix 3000) and smart preparation bur (in vivo comparative study)‏
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Publication Date
Sun Apr 20 2025
Journal Name
Journal Of Baghdad College Of Dentistry
An Evaluation of the Efficacy of Different Gingival Retraction Materials on the Gingival Tissue Displacement (A Comparative In Vivo Study)
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Background: An accurate adaptation of the crown to the finish line is essential to minimize cement dissolution and to preserve periodontium in fixed partial denture cases. An accurate adaptation of crown is possible only when preparation details are captured adequately in the impression and transferred to cast. For these reasons, gingival displacement is necessary to capture subgingival preparation details.The aim of the present study is to measure in vivo the horizontal displacement of the gingival sulcus obtained by using three new cordless retraction materials (Magic Foam Cord®, Racegel and Astringent Retraction Paste) in comparison to medicated retraction cord. Materials and method: Thirty-two patients requiring porcelain fused to me

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Publication Date
Mon Mar 14 2016
Journal Name
Iraqi Journal Of Market Research And Consumer Protection
Determine the chemical content of Bay (Laurus nobilis L.) leaves extract and its effectivenss against some bacterial species: Determine the chemical content of Bay (Laurus nobilis L.) leaves extract and its effectivenss against some bacterial species
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This study has been performed to study the inhibitory effects of crude plant extracts of Bay (laurus nobilis) leaves against some bacterial isolates represented by Staphylococcus aureus, Staphylococcus epidermids, Proteus vulgaris, Bacillus subtilis, Escherichia coli, and Pseudomonas aeroginosa in vitro. The results showed that percentages of essential chemical of laurus nobilis leaves which represented by moisture, total oil, total ash, crude protein, crude fibers, carbohydrites and caloric values in dry weight are 5.96, 4.28, 14.2, 8.75, 24.8, 76.99%, and 284.92 kcal/100g respectively, the percentages of some major and minor mineral elements of laurus nobilis leaves powder which represented by Mg, Fe, Cu, Pb, Cd and As, are: 0.211, 0.1

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Publication Date
Sat Feb 14 2015
Journal Name
Global Journal Of Advanced Engineering Technologies And Sciences
EVALUATION OF ANTIBACTERIAL ACTIVITY OF METAL NANOPARTICLES AGAINST DIFFERENT PATHOGENIC BACTERIA
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In recent years, infectious diseases are increasingly being encountered in clinical settings. Due to the development of antibiotic resistance and the outbreak of these diseases caused by resistant pathogenic bacteria, the pharmaceutical companies and the researchers are now searching for new unconventional antibacterial agents. Recently, in this field, the application of nanoparticles is an emerging area of nanoscience and nanotechnology. For this reason, nanotechnology has a great deal of attention from the scientific community and may provide solutions to technological and environmental challenges. A common feature that these nanoparticles exhibit their antimicrobial behavior against pathogenic bacteria. In this report, we evaluate

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Publication Date
Sun Jun 03 2012
Journal Name
Baghdad Science Journal
Study the effect of the mixture aquatic extract of Peganum harmala seeds and Pericarp of Punica granutum on viability of protoscolices of Echinococcus granulosus in vitro and in vivo
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This study included the preparation of the mixture aquatic extracts of Peganum harmala seeds and Pericarp of Punica granutum at concentration (10+50) ?(15+55)? (20+60) mgml .To study the influence of the mixture on the percentage of vitality of the protoscolices of E. granulosus In vitro, as the vitality of protoscolices had caused complete death when the using concentration at time 120,90,60 minute respectively. Also study the effect of mixture in white mice with infectious protoscolices In vivo and study the change occurred in the averages of the weights of the liver and spleen and the averages of its distension In vivo in processed group with mixture at concentration (15+55) , (10+50)mgml ,as which was approach to the negative gro

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Publication Date
Fri Dec 01 2023
Journal Name
Iranian Journal Of Medical Microbiology
Detection of Biologically Active Compounds in <i>Eriobotrya japonica</i> L. Seeds Extract and Determination of Their Effectiveness Against Dermatophytes
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Publication Date
Thu Jul 01 2021
Journal Name
Iraqi Journal Of Science
The Influence of NMI against Modularity in Community Detection Problem: A Case Study for Unsigned and Signed Networks
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Community detection is useful for better understanding the structure of complex networks. It aids in the extraction of the required information from such networks and has a vital role in different fields that range from healthcare to regional geography, economics, human interactions, and mobility. The method for detecting the structure of communities involves the partitioning of complex networks into groups of nodes, with extensive connections within community and sparse connections with other communities. In the literature, two main measures, namely the Modularity (Q) and Normalized Mutual Information (NMI) have been used for evaluating the validation and quality of the detected community structures. Although many optimization algo

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