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Antibacterial action of AgNPs produced from different isolates of Gram positive and Gram-negative bacteria on biofilm of Klebsiella pneumoniae isolated from RTI
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Introduction and Aim: Klebsiella pneumoniae is a Gram-negative bacterium responsible for a wide range of infections, including respiratory tract infections (RTIs). This research was aimed to study the antibacterial and anti-biofilm effect of AgNPs produced by Gram positive and negative bacteria on RTIs associated with K. pneumoniae.   Materials and Methods: The biofilm formation of K.  pneumoniae was determined by tube method qualitatively from select bacterial species characterized by UV-Visible spectroscopy. The antibacterial susceptibility of the bacteria AgNPs was tested for their antibacterial and antibiofilm activity on a clinical isolate of K. pneumoniae.   Results: K. pneumoniae isolated from RTIs were strong biofilm producers.  The antibacterial activity of AgNPs synthesized from bacterial spp in this study had good antibacterial activity against K. pneumoniae. P. aeruginosa and P. mirabilis AgNPs had the strongest anti-biofilm effect, with 84% and 83%, respectively, while A. baumanii's AgNPs had the lowest (79%). AgNPs of P. aeruginosa and P. luteola showed the highest (80%) anti-biofilm action against the development of pre- and post-mature biofilms formed by K. pneumoniae, while AgNPs from S. mitis exhibited the lowest levels (69%).   Conclusion: AgNPs generated by Gram positive and Gram-negative bacteria, when exposed to K. pneumoniae isolated from RTIs had a good antibacterial impact and inhibited the formation of biofilm by K. pneumonia and hence could be used as an antibacterial agent against K. pneumoniae infecting the respiratory tract.

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Publication Date
Wed Jan 01 2025
Journal Name
Agricultural Engineering
The Effect of Design and the Accelerated Wear Test of Agricultural Nozzles on the Resulting Droplet Size
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Abstract<p>The change in the size of the droplets during the pesticide application process could have a negative impact on the percentage of drift or the losses of pesticides to the environment. One of the factors that could affect the droplet size produced from a single nozzle is the internal design of the nozzle itself, in addition to the wear of the nozzle orifice as a result of the usage time. In this research, three types of nozzles with different internal designs were used (Turbo TeeJet (TT), Turbo TwinJet (TTj 6011003), and Drift Guard (DG 11003)). The nozzles were subjected to an accelerated wear test for one hundred hours, and different droplet size parameters (Dv 0.1, Dv 0.5, Dv 0.9), </p> ... Show More
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Publication Date
Wed May 01 2019
Journal Name
Thin Solid Films
Studies of annealing impact on the morphological, opto-dielectric and mechanical behaviors of molybdenum-doped CrN coatings
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Publication Date
Mon Apr 03 2023
Journal Name
Polymer Composites
Effect of silver nanoparticles on structural, thermal, electrical, and mechanical properties of poly(vinyl alcohol) polymer nanocomposites
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Publication Date
Tue Feb 01 2022
Journal Name
Journal Of Ovonic Research
Effect of copper on physical properties of CdO thin films and n-CdO: Cu / p-Si heterojunction
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Publication Date
Mon Nov 11 2019
Journal Name
Day 3 Wed, November 13, 2019
Drill Bit Selection Optimization Based on Rate of Penetration: Application of Artificial Neural Networks and Genetic Algorithms
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Abstract<p>The drill bit is the most essential tool in drilling operation and optimum bit selection is one of the main challenges in planning and designing new wells. Conventional bit selections are mostly based on the historical performance of similar bits from offset wells. In addition, it is done by different techniques based on offset well logs. However, these methods are time consuming and they are not dependent on actual drilling parameters. The main objective of this study is to optimize bit selection in order to achieve maximum rate of penetration (ROP). In this work, a model that predicts the ROP was developed using artificial neural networks (ANNs) based on 19 input parameters. For the</p> ... Show More
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Publication Date
Thu Aug 08 2024
Journal Name
Computation
Evaluation of the Dynamics of Psychological Panic Factor, Glucose Risk and Estrogen Effects on Breast Cancer Model
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Contracting cancer typically induces a state of terror among the individuals who are affected. Exploring how glucose excess, estrogen excess, and anxiety work together to affect the speed at which breast cancer cells multiply and the immune system’s response model is necessary to conceive of ways to stop the spread of cancer. This paper proposes a mathematical model to investigate the impact of psychological panic, glucose excess, and estrogen excess on the interaction of cancer and immunity. The proposed model is precisely described. The focus of the model’s dynamic analysis is to identify the potential equilibrium locations. According to the analysis, it is possible to establish four equilibrium positions. The stability analys

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Publication Date
Wed Aug 01 2018
Journal Name
European Journal Of Pharmaceutical Sciences
The effect of size and polymer architecture of doxorubicin–poly(ethylene) glycol conjugate nanocarriers on breast duct retention, potency and toxicity
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Publication Date
Mon Aug 26 2024
Journal Name
Iraqi Journal Of Agricultural Sciences
EFFECT OF USING AVOCADO, CHIA OIL AND THEIR MIXTURE IN BROILER DIETS ON PRODUCTIVE PERFORMANCE AND SOME CHEMICAL CHARACTERISTICS OF MEAT
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This study was conducted in the field of the Poultry Research Station of the animal resources Department / office of Agricultural Research / Ministry of Agriculture from the period 4th April to16th May2021.This study was aimed to investigate the effect of using avocado and chia oil and their mixture in broiler diets on the final productive performance and meat cholesterol concentration and measuring meat oxidation indicators after storing it for 60 days. 300 one-day-old (Ross308) chicks were fed on diets that used avocado oil and chia with percentages of 0, 0.2, 0.4, 0.6%, respectively, and their mixture consisting of 0.0, 0.1, 0.2, 0.3 each of avocado and chia oil (50% avocado + 50% chia oil). The experiment included 10 treatments

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Publication Date
Sun Dec 25 2022
Journal Name
International Journal Of Drug Delivery Technology
Green Synthesis of Silver Nanoparticles via Black and Green Tea and Study its Toxicity on few Vital Organs of Female Mice
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This study included synthesizing silver nanoparticles (AgNPs) in a green method using AgNO3 solution with glucose exposed to microwave radiation. The prepared NPs were also characterized using ultraviolet and visible (UV-vis) spectroscopy and scanning electron microscopy (SEM). The UV/vis spectroscopy confirmed the production of AgNPs, while SEM analysis showed that the typical spherical AgNPs were 30 nm and 50 nm in size for the NPs prepared using black tea (B) and green tea (G) as reducing agent, respectively. The changes in some of the biochemical parameters related to the liver and kidneys have been analyzed to evaluate the probable toxic effects of AgNPs. 40 adult male mice were included in this study. To assess the probable he

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Publication Date
Fri Mar 01 2024
Journal Name
Baghdad Science Journal
Effect of Humic acid, Cytokinin and Arginine on Growth and Yield Traits of Bean Plant Phaseolus vulgaris L. under salt stress
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To achieve optimal plant growth and production under salt stress, some products were added in adequate quantities to give a good yield, especially bean plants which are sensitive to salinity. For this purpose, this experiment was carried out during the spring growing season in 2022 in Baghdad, to study the effects of humic acid, cytokinin, arginine and their interaction with 9 parameters that reflect the overall traits of vegetative growth and yield of common bean plants Phaseolus vulgaris L. var. Astraid (from MONARCH seeds, China). The factorial design with 3 replicates was used, each with 7 plants treated via foliar spraying or by addition to the soil. The first factor included three groups; H0, H1 and H2 (0, 6, 12 Kg.h-1 H

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