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Cytotoxic effect of cloned EGFP gene on NCI-H727 cell line via genetically engineered gene transfer system
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Introduction and Aim: Cancers are a complex group of genetic illnesses that develop through multistep, mutagenic processes which can invade or spread throughout the body. Recent advances in cancer treatment involve oncolytic viruses to infect and destroy cancer cells. The Newcastle disease virus (NDV), an oncolytic virus has shown to have anti-cancer effects either directly by lysing cancer cells or indirectly by activating the immune system. The green fluorescent protein (GFP) has been widely used in studying the anti-tumor activity of oncolytic viruses. This study aimed to study the anticancer effect of a recombinant rNDV-GFP clone on NCI-H727 lung carcinoma cell line in vitro.   Materials and Methods: The GFP gene was inserted to a NDV strain to create a recombinant NDV (rNDV- GFP) using reverse genetics technology. The MTT assay was used in evaluating the oncolytic effect of rNDV- GFP on the lung carcinoma NCI-H727 cells. Light and fluorescent microscopy was used to study the cytopathic effects of rNDV-GFP.   Results: MTT assay showed that rNDV-GPF inhibited the NCI-H727 tumor cell death in a time-dependent manner. A significant inhibitory effect (78.3%) for rNDV-GPF on cancer cells was observed at 96h in comparison to rNDV (22.7%) and the cytotoxicity rate was directly proportional to the MOI used. Microscopic studies showed rNDV-GPF to induce cytopathic effect post 24 h of infection.   Conclusion: The GFP-expressing recombinant NDV strains exhibited encouraging results in terms of tumor growth inhibition. Our research set the groundwork for employing recombinant NDV as an anticancer viral vector.  

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Publication Date
Tue Dec 01 2015
Journal Name
Journal Of Engineering
Modeling and Control of Fuel Cell Using Artificial Neural Networks
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This paper includes an experimental study of hydrogen mass flow rate and inlet hydrogen pressure effect on the fuel cell performance. Depending on the experimental results, a model of fuel cell based on artificial neural networks is proposed. A back propagation learning rule with the log-sigmoid activation function is adopted to construct neural networks model. Experimental data resulting from 36 fuel cell tests are used as a learning data. The hydrogen mass flow rate, applied load and inlet hydrogen pressure are inputs to fuel cell model, while the current and voltage are outputs. Proposed model could successfully predict the fuel cell performance in good agreement with actual data. This work is extended to developed fuel cell feedback

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Publication Date
Wed May 01 2019
Journal Name
Iraqi Journal Of Science
Fabrication and Study of Nano catalysis for Alkaline Fuel Cell
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Publication Date
Tue Oct 08 2024
Journal Name
Cureus
Orbital Langerhans Cell Histiocytosis: A Systematic Review of 228 Cases
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Publication Date
Mon Jun 05 2023
Journal Name
Journal Of Economics And Administrative Sciences
Selection of variables Affecting Red Blood Cell by Firefly Algorithm
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Some maps of the chaotic firefly algorithm were selected to select variables for data on blood diseases and blood vessels obtained from Nasiriyah General Hospital where the data were tested and tracking the distribution of Gamma and it was concluded that a Chebyshevmap method is more efficient than a Sinusoidal map method through mean square error criterion.

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Publication Date
Sun Nov 01 2015
Journal Name
Journal Of Cosmetics, Dermatological Sciences And Applications
Treatment of basal cell carcinoma by topical 25% podophyllin solution
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KE Sharquie, AA Noaimi, MS Al-Zoubaidi, Journal of Cosmetics, Dermatological Sciences and Applications, 2015 - Cited by 8

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Publication Date
Mon Jun 04 2018
Journal Name
Baghdad Science Journal
Fabricated of Cu Doped ZnO Nanoparticles for Solar Cell Application
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Copper with different concentrations doped with zinc oxide nanoparticles were prepared from a mixture of zinc acetate and copper acetate with sodium hydroxide in aqueous solution. The structure of the prepared samples was done by X-ray diffraction, atomic force microscopy (AFM) and UV-VIS absorption spectrophotometer. Debye-Scherer formula was used to calculate the size of the prepared samples. The band gap of the nanoparticle ZnO was determined by using UV-VIS optical spectroscopy.

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Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
The effect of Nitrofurantoin on liver on Albino mice
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the current study Included, evaluation the impact of Nitrofurantoin drug on liver in albino mice, 128 male albino mice have been used . Animals treared with (150,200 Mg/Kg) for 8 weeks . NFI caused histological changes in liver represented by , swelling of hepatocytes, disappearance of radial arrangement , vaculation of liver cells , increasing of kupffer cells and appearance of giant cells. NFT caused Congestion of blood vessels and infiltration of inflammatory cells in liver in all used concentrations.

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Publication Date
Sun Nov 01 2020
Journal Name
Journal Of Physics: Conference Series
Advanced nano membrane for an alkaline Fuel Cell
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Abstract<p>Structural and optical properties were studied as a function of Nano membrane after prepared, for tests. Nano membrane was deposited by the spray coating method on substrates (glass) of thickness 100 mm. The X-ray diffraction spectra of (CNTs, WO3) were studied. AFM tests are good information about the roughness, It had been designed electrolysis cell and fuel cell. Studies have been performed on electrochemical parameters.</p>
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Publication Date
Thu Nov 01 2012
Journal Name
Journal Of The Saudi Society Of Dermatology & Dermatologic Surgery
Basal cell carcinoma: Topical therapy versus surgical treatment
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KE Sharquie, AA Noaimi, Journal of the Saudi Society of Dermatology & Dermatologic Surgery, 2012 - Cited by 36

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Publication Date
Wed Mar 18 2020
Journal Name
Baghdad Science Journal
A Software Defined Network of Video Surveillance System Based on Enhanced Routing Algorithms
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Software Defined Network (SDN) is a new technology that separate the ‎control plane from the data plane. SDN provides a choice in automation and ‎programmability faster than traditional network. It supports the ‎Quality of Service (QoS) for video surveillance application. One of most ‎significant issues in video surveillance is how to find the best path for routing the packets ‎between the source (IP cameras) and destination (monitoring center). The ‎video surveillance system requires fast transmission and reliable delivery ‎and high QoS. To improve the QoS and to achieve the optimal path, the ‎SDN architecture is used in this paper. In addition, different routing algorithms are ‎used with different steps. First, we eva

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