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SYNERGISTIC EFFECTS OF NEEM OIL AND GENTAMICIN ON PSEUDOMONAS AERUGINOSA VIA PHZM GENE DOWNREGULATION: A COMPREHENSIVE REVIEW
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Exploring the antibacterial potential of neem oil (Azadirachta indica) in combination with gentamicin (GEN) against pathogenic molds, especially Pseudomonas aeruginosa, has drawn concern due to the quest for natural treatment options against incurable diseases. Prospective research directions include looking for natural cures for many of the currently incurable diseases available now. microbial identification system, were used to identify the isolates. The research utilized a range of methods, such as the diffusion agar well (AWD) assays, TEM (transmission electron microscopy) analysis, minimum inhibitory concentration (MIC) assays, and real-time PCR (RT-qPCR) to analyze bacterial expression and the antibacterial action of neem oil (Azadirachta indica) combined with gentamicin (GEN) against the pathogenic bacteria Pseudomonas aeruginosa between others. The combined effects of neem oil and GEN on P. aeruginosa are extensively investigated in this study, with particular attention paid to the downregulation of the virulent factor gene phzM, inhibition of biofilm formation, morphological changes, and gene expression, in that proportion. Results show that neem oil has strong antibacterial activity against P. aeruginosa and S. aureus, preventing the formation of biofilms and causing morphological alterations. In addition, the synergistic effects of neem oil and GEN are demonstrated, together in order with the downregulation of the phzM gene in P. aeruginosa. These results highlight the increased effectiveness of neem oil when combined with GEN and point to the potential of the oil as a stand-alone antibacterial agent. They also highlight the need for more study to overcome antibiotic resistance in harmful bacteria. Overall, our results point to a possibility that neem oil extract, either alone or in combination with GEN, can suppress the development of pathogenic microbes. This synergistic impact is related to the downregulation of a virulence factor gene. To address the drug resistance linked to pathogenic microbes, greater study is required. Novelty of study addresses the important issue of antibiotic resistance by exploring the potential synergistic effects of neem oil and gentamicin on pathogenic bacteria, particularly Pseudomonas aeruginosa. This topic is highly relevant in the context of the global challenge of antimicrobial resistance. Novelty and relevance the important issue of antibiotic resistance by exploring the potential synergistic effects of neem oil and gentamicin on pathogenic bacteria, particularly Pseudomonas aeruginosa. This topic is highly relevant in the context of the global challenge of antimicrobial resistance.

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Publication Date
Sun Jan 01 2023
Journal Name
International Journal Of Data And Network Science
The effects of big data, artificial intelligence, and business intelligence on e-learning and business performance: Evidence from Jordanian telecommunication firms
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This study sought to investigate the impacts of big data, artificial intelligence (AI), and business intelligence (BI) on Firms' e-learning and business performance at Jordanian telecommunications industry. After the samples were checked, a total of 269 were collected. All of the information gathered throughout the investigation was analyzed using the PLS software. The results show a network of interconnections can improve both e-learning and corporate effectiveness. This research concluded that the integration of big data, AI, and BI has a positive impact on e-learning infrastructure development and organizational efficiency. The findings indicate that big data has a positive and direct impact on business performance, including Big

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Publication Date
Sat Jul 12 2025
Journal Name
Journal Of Physical Education
Unbalanced Strength Exercises Using Designed Tools and Their Effects on Some Biomechanical Variables in Young 110m Hurdles
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Publication Date
Sat Jan 01 2022
Journal Name
3rd International Scientific Conference Of Alkafeel University (iscku 2021)
Exposure and etching time effects on the fission track density in CR-39 detectors using teeth samples
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Publication Date
Sat Jun 02 2018
Journal Name
Agroforestry Systems
Biomass and buffer management practice effects on soil hydraulic properties compared to grain crops for claypan landscapes
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Publication Date
Fri May 01 2020
Journal Name
Journal Of Engineering
The Effects of Maximum Attapulgite Aggregate Size and Steel Fibers Content on Fresh and Some Mechanical Properties of Lightweight Self Compacting Concrete
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The main objectives of this study were investigating the effects of the maximum size of coarse Attapulgite aggregate and micro steel fiber content on fresh and some mechanical properties of steel fibers reinforced lightweight self-compacting concrete (SFLWSCC). Two series of mixes were used depending on maximum aggregate size (12.5 and 19) mm, for each series three different steel fibers content were used (0.5 %, 1%, and 1.5%). To evaluate the fresh properties, tests of slump flow, T500 mm, V funnel time, and J ring were carried out. Tests of compressive strength, splitting tensile strength, flexural tensile strength, and calculated equilibrium density were done to evaluate mechanical properties. For reference mixes, the

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Publication Date
Thu Mar 14 2024
Journal Name
مجلة الدراسات التربوية والعلمية
Violacein: Review article
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The purple pigment violacein is produced by Gram-negative bacteria, mainly from the Chromobacterium violaceum. Violacein is synthesized by fusing two Ltryptophan molecules using five different enzymes encoded by VioA, VioB, VioC, VioD, and VioE genes. These genes have transferred to genetically engineering microorganisms such as E.coli for high production of violacein. It is receiving greater interest because of its significant biological functions and therapeutic potential. The reviews outlining the biosynthesis, production, and biological significance of violacein are being published.

Publication Date
Tue Dec 01 2020
Journal Name
International Journal For Research In Applied Sciences And Biotechnology
bioseparation review published
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Publication Date
Thu Sep 05 2019
Journal Name
Al-kindy College Medical Journal
Review Article Blastocystosis
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Blastocystosis is symptomatic infection caused by the protozoal parasite Blastocystis , which resides in the intestinal tract of its hosts and it is one of the most common parasites reported in humans. It’s prevalence ranges between (30 - 50%) of the population in developing countries. This genus has a worldwide distribution and often the most commonly reported human intestinal protozoan in children and adults, even infect infants

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Publication Date
Sat Dec 01 2018
Journal Name
Journal Of Economics And Administrative Sciences
The reality of smart city development management in the comprehensive development plan for the city of Baghdad 2030
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Abstract

Abstract has many advantages as has historically been one of the regions leading cultural centers . for centuries , it has been a center of commertial and financial operations in Iraq. it is also rich in archeological sites and natural resources, but because of its wars and implementation of urban development strategies are effective and sustainable , so contracted the secretariat of Baghdad with the company (khatib and scirntiffic) for the preparation of the comprehensive development plan for the city of Baghdad in 2030 and funded by the world bank and the fact that the plan was approved ( three stages of it ) and only one phase remains the fourth stage, which is under discussion the aim of the

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Publication Date
Tue Nov 09 2021
Journal Name
Abu Dhabi International Petroleum Exhibition & Conference
Numerical Simulation of Gas Lift Optimization Using Artificial Intelligence for a Middle Eastern Oil Field
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Abstract<p>Artificial lift techniques are a highly effective solution to aid the deterioration of the production especially for mature oil fields, gas lift is one of the oldest and most applied artificial lift methods especially for large oil fields, the gas that is required for injection is quite scarce and expensive resource, optimally allocating the injection rate in each well is a high importance task and not easily applicable. Conventional methods faced some major problems in solving this problem in a network with large number of wells, multi-constrains, multi-objectives, and limited amount of gas. This paper focuses on utilizing the Genetic Algorithm (GA) as a gas lift optimization algorit</p> ... Show More
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