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Antibacterial Activity of Silver Nanoparticles Prepared from Camellia Sinensis Extracts in Multi-Drug Resistant Pseudomonas aeruginosa
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The purpose of this study to synthesize and characterize silver nanoparticles using phenolic compounds obtained from Camellia sinensis, to test the antibacterial properties of biosynthesized nanoparticles on the formation of biofilms in multidrug-resistant Pseudomonas aeruginosa. Ten isolates of P. aeruginosa were obtained from the Genetic Engineering and Biotechnology Institute laboratories of the University of Baghdad. By using the VITEK-2 system and culturing the isolates on cetrimide agar, the diagnosis was confirmed. Camellia sinensis silver nanoparticles (CAgNPs) were created using an extract of the plant's aqueous and methanolic leaves. Based on the results of the nanoparticle synthesis, spherical nanoparticles that may be single or mixed were included in both the aqueous and methanolic extracts of silver nanoparticles. By comparing their retention times to those of the reference compounds, the HPLC findings revealed that two phenolic compounds (gallic acid and caffeine) had been discovered. Utilising the disc diffusion technique, the antibacterial activity of (CAgNPs) was assessed. The results indicated that the methanolic (CAgNPs) extract was more effective than the aqueous (CAgNPs) extract at 375 and 750 ppm, giving the highest inhibition zone 17.67 and 21.33 mm, respectively, when compared to the aqueous (CAgNPs) extract, which produced inhibitory zones 13.00 and 16.33 mm, respectively. The MIC findings indicated that the methanolic CAgNPs extract was more effective than the aqueous CAgNPs extract; the MIC of the methanolic CAgNPs extract was 23.43 μg/ml in all P. aeruginosa isolates, except the isolates No. 9 and 10, which was 11.718 μg/ml. While in the aqueous extract, the MIC in all P. aeruginosa isolates was 187.5 μg/ml, with the exception of isolates No. 9 and 10, which was 93.75 μg/ml. Additionally, the methanolic CAgNPs extract entirely inhibited P. aeruginosa from building a biofilm when used at 23.43 μg/ml. However, at 46.87 μg/ml of the aqueous CAgNPs extract, totally reduced the biofilm forming activity on P. aeruginosa isolates

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Publication Date
Sun Jul 09 2023
Journal Name
Journal Of Engineering
Development a Proposed System of Organization Structure to Management Multi Construction Projects
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The purpose of this study is aimed to lay down an arranged platform suited to Iraqi constructional associations which in charge to carry out multi constructional projects, as it fulfilled management requirements and supervising, so that low - cost projects will be controlled in due term and quality. Based on primary info and observed data collected, the study thesis has been formulated in this way: Iraqi constructional sector bodies which are in charge to implement simultaneously multi constructional projects in need to reformulate its organized structure so that it will be more fitted to management and control of these projects. This thesis includes a
theoretical part contained presenting the most important resources locally and int

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Publication Date
Sun Dec 01 2024
Journal Name
Chilean Journal Of Statistics
A method of multi-dimensional variable selection for additive partial linear models.
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In high-dimensional semiparametric regression, balancing accuracy and interpretability often requires combining dimension reduction with variable selection. This study intro- duces two novel methods for dimension reduction in additive partial linear models: (i) minimum average variance estimation (MAVE) combined with the adaptive least abso- lute shrinkage and selection operator (MAVE-ALASSO) and (ii) MAVE with smoothly clipped absolute deviation (MAVE-SCAD). These methods leverage the flexibility of MAVE for sufficient dimension reduction while incorporating adaptive penalties to en- sure sparse and interpretable models. The performance of both methods is evaluated through simulations using the mean squared error and variable selection cri

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Publication Date
Mon Oct 05 2020
Journal Name
International Journal Of Advanced Science And Technology
Improved Merging Multi Convolutional Neural Networks Framework of Image Indexing and Retrieval
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Improved Merging Multi Convolutional Neural Networks Framework of Image Indexing and Retrieval

Publication Date
Thu Dec 09 2021
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Study The Anti-Asthmatic Activity of Guggulsterone In Ovalbumin-Induced Asthma In Rat
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Asthma is a chronic in?ammatory respiratory disease associated with the changes of asthmatic airway structural that result from interact remodeling and in?ammatory processes lead to obstruction of airway. Guggulsterone (GS) is a bioactive compound and plant steroid present in  guggul gum of Commiphora wightii, which has anti-inflammatory and antioxidant activities. This study designed to investigate of anti-inflammatory activity of gugglsterone in improvement of asthma. Forty eight healthy albino male rats divided to six groups, Group I: Control group (distal water), Group II: Positive control group (distal water) with sensitization, Group III: Guggulsterone (25 mg/kg/day) with sens

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Publication Date
Sun Mar 13 2011
Journal Name
Baghdad Science Journal
The effect of methanol and water plant extracts of Cordia myxa on Some pathogenitic bacteria and Candida albicans
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this study aimed to study the effect of Cordia myxa extract on the growth and activities of the following types of bacteria : Escherichia coli , Pseudomonas aeruginosa, Proteus Spp., Klebsiella pneumoniae , Staphylococcus aureus, Streptococcus pyogenes , Bacillus subtilus, and the yeast Candida albicans .the results showed an inhibitory effect of the methanol extract on both the growth and activity of the tested microbes .this was reflected by the minimum inhibitory concentration ( MIC ) of different type of bacteria and the yeast.

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Publication Date
Fri Sep 01 2023
Journal Name
Journal Of Applied Sciences And Nanotechnology
Characterization of Prepared Polyaniline Nanofibers Based on a Hydrothermal Variation of Aniline Concentration
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Polyaniline nanofibers (PAni-NFs) have been synthesized under various concentrations (0.12, 0.16, and 0.2 g/l) of aniline and different times (2h and 3 h) by hydrothermal method at 90°C. Was conducted with the use of X-ray diffraction (XRD), Fourier Transform Infrared spectra (FTIR), Ultraviolet-Visible (UV-VIS) absorption spectra, Thermogravimetric Analysis (TGA), and Field Emission-Scanning Electron Microscopy (FE-SEM). The X-ray diffraction patterns revealed the amorphous nature of all the produced samples. FE-SEM demonstrated that Polyaniline has a nanofiber-like structure. The observed typical peaks of PAni were (1580, 1300-1240, and 821 cm-1 ), analyzed by the chemical bonding of the formed PAni through FTIR spectroscopy. Also, tests

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Publication Date
Sun Nov 01 2020
Journal Name
Systematic Reviews In Pharmacy
The antihyperglycemic effect of n-butanol leaves extracts of iraqi fumaria parviflora on alloxan-prompt diabetic rats
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Scopus
Publication Date
Mon Jul 01 2024
Journal Name
Iop Conference Series: Earth And Environmental Science
The Effect of Spraying with Plant Extracts on Some Growth Characteristics and Active Ingredients of Basil Plant
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Abstract<p>Basil (Ocimum basilicum L.), a leafy plant used for fresh food, medicinal purposes, and aromatic purposes (including the extraction of volatile essential oil and active compounds), was the subject of a worker experiment at the College of Education for Pure Sciences Ibn Al-Haitham / University of Baghdad during the 2023 growing season. The experiment aimed to determine the effects of spraying the basil plant’s vegetative system with aqueous extracts of watercress and parsley on the plant’s growth characteristics and the production of active compounds. The experiment included two factors, the first factor, the aqueous extract of the watercress plant in three concentrations (0, 5, 10</p> ... Show More
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Publication Date
Mon Jan 01 2024
Journal Name
Baghdad Science Journal
Artificial Neural Network and Latent Semantic Analysis for Adverse Drug Reaction Detection
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Adverse drug reactions (ADR) are important information for verifying the view of the patient on a particular drug. Regular user comments and reviews have been considered during the data collection process to extract ADR mentions, when the user reported a side effect after taking a specific medication. In the literature, most researchers focused on machine learning techniques to detect ADR. These methods train the classification model using annotated medical review data. Yet, there are still many challenging issues that face ADR extraction, especially the accuracy of detection. The main aim of this study is to propose LSA with ANN classifiers for ADR detection. The findings show the effectiveness of utilizing LSA with ANN in extracting AD

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Publication Date
Sat Aug 31 2019
Journal Name
Iraqi Journal Of Physics
Cu Nanoparticles preparation by Laser Ablation in Liquid Phase method (LALP)
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Nanoparticle has pulled in expanding consideration with the developing enthusiasm for nanotechnology which hold potential as essential segments for development applications. In the present work, a copper nanoparticle is manufactured as a suspension in distilled water by beating a bulk copper target with laser source (532 nm wavelength, 10 ns pulse duration and 10 Hz repletion rate) via method. UV- visible absorption spectra and AFM analysis has been done to observe the effect of repetition rate for the pulsation of laser. Copper nanoparticles (Cu-NPs) were successfully synthesized with green color. The Cu- NPs have very high purity because the preparation was managed in aqueous media to eliminate ambient contaminations.  Absorption

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