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Knowledge, perception and practices of Suez Canal University students regarding Hepatitis C Virus infection risk and means of prevention

Published on: 5th July, 2019

OCLC Number/Unique Identifier: 8197638609

Background: Egypt has the highest prevalence of HCV in the world as more than 10% of population suffers from HCV infection. High prevalence of HCV in Egypt represents a great risk to the whole population that requires aggressive mass awareness regarding routes of infection and means of prevention. Aim: To determine the knowledge and practices of university students in 5 different faculties in Suez Canal University regarding HCV infection and means of prevention. Materials and method: A cross sectional study was conducted in five university faculties in Suez Canal University. Results: The study included 698 students from the faculties of Medicine, Pharmacy, Dentistry, Nursing and Education in Suez Canal University in Ismailia city in Egypt. There was a statistically significant difference regarding the knowledge about the diagnosis, complications and routes of transmission total knowledge score for HCV among the different faculties. Conclusion and Recommendations: Knowledge and practices of university students in Suez Canal University is partial to weak especially in students of non-biological sciences who have less close contact with patients
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Different optimization strategies for the optimal control of tumor growth

Published on: 10th December, 2019

OCLC Number/Unique Identifier: 8495685425

In this article different numerical techniques for solving optimal control problems is introduced, the aim of this paper is to achieve the best accuracy for the Optimal Control Problem (OCP) which has the objective of minimizing the size of tumor cells by the end of the treatment. An important aspect is considered, which is, the optimal concentrations of drugs that not affect the patient’s health significantly. To study the behavior of tumor growth, a mathematical model is used to simulate the dynamic behavior of tumors since it is difficult to prototype dynamic behavior of the tumor. A tumor-immune model with four components, namely, tumor cells, active cytotoxic T-cells (CTLs), helper T-cells, and a chemotherapeutic drug is used. Two general categories of optimal control methods which are indirect methods and direct ones based on nonlinear programming solvers and interior point algorithms are compared. Within the direct optimal control techniques, we review three different solutions techniques namely (i) multiple shooting methods, (ii) trapezoidal direct collocation method, (iii) Hermit- Simpson’s collocation method and within the indirect methods we review the Pontryagin’s Maximum principle with both collocation method and the backward forward sweep method. Results show that the direct methods achieved better control than indirect methods.
Cite this ArticleCrossMarkPublonsHarvard Library HOLLISGrowKudosResearchGateBase SearchOAI PMHAcademic MicrosoftScilitSemantic ScholarUniversite de ParisUW LibrariesSJSU King LibrarySJSU King LibraryNUS LibraryMcGillDET KGL BIBLiOTEKJCU DiscoveryUniversidad De LimaWorldCatVU on WorldCat