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RISS 인기검색어
- 검색키워드
- 저자 : Mohamed F. Kotb (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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Mohamed, Shereen H,Mahmoud, Nora F,Mohamed, Aly F,Kotb, Nahla S Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.14
Background: Cirrhosis is regarded as a possible end stage of many liver diseases, including viral infection. It occurs when healthy liver tissue becomes damaged and is replaced by scar tissue and finally may lead to hepatocellular carcinoma. Interferons (IFNs)are two general categories, type I and II. Type I includes one beta interferon and over 20 different alpha interferons. Alpha interferons are very similar in how they work, interacting with other proteins on cells like receptors. The main objective of this study was to compare Mx gene productivity post different cell line treatment with imported and Egyptian biosimilar locally produced IFNs, as well as the efficacy of those tested IFNs. Also, an assessment was made of sensitivity of different cell lines as alternatives to that recommended for evaluation of antiviral activity. Materials and Methods: Different cell lines (Vero, MDBK and Wish) were employed to evaluate cytotoxicity using the MTT assay. Antiviral activity was evaluated compared with standard IFN against VSV, Indiana strain -156, on tested rh-IFNs (imported; innovated and Egyptian biosimilar locally produced IFNs) in the pre-treated cell lines previously mentioned. The virus was propagated in the Wish cell line as recommended. Finally we estimated up-regulation of the Mx gene as a biomarker. Results: Data recorded revealed that test IFNs were safe in test cell lines. Viability was around 100%. Locally tested interferon did not realize the international potency limits, while the imported one was accepted compared with the standard IFN. These results were the same either using infectivity titer reduction assay or crystal violet staining of residual non- infected cells. Mx protein production was cell type related and confirmed by the detected Mx gene expressed in imported and locally produced IFN pre-treated cell lines. The expression of the gene was arranged in the order of Vero> wish > MDBK for the imported IFN, while for the Egyptian biosimillar locally produced one it was MDBK> Vero> wish. With regard to the antiviral activity there was a significant difference of imported IFN potency compared with the locally produced IFN (P<0.05), the IFN potential (antiviral activity) was not cell line related and showed non-significant difference for each separate product. Conclusions: Vero cells can be used as an alternative cell line for evaluation of IFN potency in case of unavailable USP recommended cell lines. Alternative potency evaluation assay could be used and proved significant difference in IFN potency in case of local and imported agents. Evaluation of antiviral activity could be used in parallel to viral infectivity reduction assay for better accuracy. Mx gene can be used as a marker for IFN potential.
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Mohamed F. Kotb,Attia A. El‑Fergany 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.1
In this article, an efcient moth swarm-based optimal power fow (OPF) methodology is addressed. Three objectives are considered such as minimizations of (i) total fuel cost of production units including efects of valve ripples, (ii) emission rate, and (iii) network real power loss. Set of operating constraints are adapted considering production units’ prohibited zones to emulate real analysis along with security aspects. The moth swarm optimizer (MSO) is employed to generate the best values of the specifed design continuous and discrete control variables. Two test cases viz. IEEE 30-bus and 57-bus networks are demonstrated under various scenarios. The simulations are performed under MATLAB environment. Numerical simulations, subsequent discussions and appropriate comparisons to other methods indicate the viability of the proposed MSO-OPF tool. At last, the compulsory performance measures are made to confrm the observed performance of the MSO algorithm in solving OPF problem.
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