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Study the Efficiency of Poly Nicotine Amide as Anticorrosion Coating on Stainless Steel and Study Its Biological Activity
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Using an electrochemical polymerization technique at room temperature, poly nicotine amide (PNA) was produced from the monomer nicotine amide (NA) in aqueous solution. The structure of polymer layer generated on the stainless steel surface (316 L) (working electrode) is investigated by Fourier Transmission Infrared Region (FT-IR). The anti-corrosion activity of polymer coating on the stainless steel (SS 316 L) is investigated by electrochemical polarization in 0.20M solution of HCl at 293-323K. The graphene -modified polymer film-coated SS had greater protection efficiency (PE percent) when compared to Nano ZnO -modified polymer film-coated SS. For the corrosion process of SS 316 L, kinetic and thermo-dynamic parameters of activation are estimated. The antibacterial activity of coated film has been tested on both gram positive as well as gram negative bacteria by well diffusion approach, which include Staphylococcus aureus (Staph.Aure) and Ecoli. Through adding nanoparticles to a monomer solution to raise the effecincy of the polymer against the corrosion and bacterial, As a result, after modifying poly nicotine amide with nanomaterial, the inhibition zone values increased (Nano ZnO and Graphene).

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Publication Date
Wed Oct 01 2008
Journal Name
Journal
Topical therapy of acne vulgaris using 2% tea lotion in comparison with 5% zinc sulphate solution
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S Khalifa E, N Adil A, AS Mazin M…, 2008

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Publication Date
Mon Nov 01 2021
Journal Name
Energy Reports
Global solar radiation prediction over North Dakota using air temperature: Development of novel hybrid intelligence model
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Publication Date
Sat Aug 31 2024
Journal Name
Folia Medica
Dental plaque caries related microorganism in relation to demographic factors among a group of Iraqi children
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Introduction: Streptococcus mutans and lactobacilli are most important bacteria in the pathogenesis of dental caries. Cariogenic microflora has been associated to the primary caregiver transmission and sugary diets.

Aim: This study aimed to relate S. mutans and lactobacilli in the plaque to demographic factors in Iraqi children.

Materials and methods: The study included 135 children aged 3-10 years. Samples of their dental plaque were taken from the upper second primary molars on the buccal surfaces using a clean toothpick. Each sample was stored in 1 ml of n

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Publication Date
Sat Dec 01 2018
Journal Name
International Journal Of Greenhouse Gas Control
Experimental pore-scale analysis of carbon dioxide hydrate in sandstone via X-Ray micro-computed tomography
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Carbon dioxide geo-sequestration (CGS) into sediments in the form of (gas) hydrates is one proposed method for reducing anthropogenic carbon dioxide emissions to the atmosphere and, thus reducing global warming and climate change. However, there is a serious lack of understanding of how such CO2 hydrate forms and exists in sediments. We thus imaged CO2 hydrate distribution in sandstone, and investigated the hydrate morphology and cluster characteristics via x-ray micro-computed tomography in 3D in-situ. A substantial amount of gas hydrate (∼17% saturation) was observed, and the stochastically distributed hydrate clusters followed power-law relations with respect to their size distributions and surface area-volume relationships. The layer-

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Publication Date
Mon Dec 01 2025
Journal Name
Applied Thermal Engineering
Efficient thermal management of PVT systems via water-PCM hybridization: New design with optimized geometrical configuration
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Publication Date
Wed Jan 01 2025
Journal Name
Lecture Notes In Networks And Systems
Automated Detection of Dubas Bug Infestation in Palm Trees Using Deep Learning with Residual Neural Networks
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Automated detection of Dubas palm infestation by image processing techniques has practical significance as it can improve agricultural efficiency, increase crop yield and quality, protect the environment, and provide data-driven insights. It also reduces the human effort required for pest control and enhances sustainability. In this study, we aimed to automate the detection of Dubas bug infestation in palm trees using deep learning with transfer learning residual neural networks. Based on four models: InceptionResNetV2, ResNet18, ResNet50, and ResNet101, the data used in this study were obtained by drone photography, many images were taken, and then the infected area was extracted. Using two types of data, 185 infected images and 185 health

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Publication Date
Tue Jan 01 2019
Journal Name
Plant Archives
Spatial distribution of some fertility elements in some northern Iraqi soils using geomatic techniques (remote sensing)
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Publication Date
Tue Apr 01 2025
Journal Name
Inorganic Chemistry Communications
Rapid sonochemical synthesis of Fe3O4@AC from waste rubber tires to use for azo dye removal
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Publication Date
Sun Feb 01 2026
Journal Name
Materials Today Communications
Tuning radiation attenuation performance of W-substituted nano-BiNb₁₋ₓWₓO₄ ceramics: A Monte Carlo simulation approach
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Publication Date
Tue Oct 26 2021
Journal Name
Egyptian Journal Of Chemistry
Synthesis of new polymers linked to heterocyclic using zinc oxide with nanostructures extracted from natural sources
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