University of Tabriz

About: University of Tabriz is a education organization based out in Tabriz, Iran. It is known for research contribution in the topics: Population & Nanocomposite. The organization has 12141 authors who have published 20976 publications receiving 313982 citations.

Oxidative stress induced lipocalin 2 gene expression: Addressing its expression under the harmful conditions

Abstract: Lipocalin 2 (Lcn2, NGAL) is a member of the lipocalin superfamily with diverse functions such as the transport of fatty acids and the induction of apoptosis. Previous reports indicated that expression of Lcn2 is induced under harmful conditions. However, the mechanisms of the induction of Lcn2 expression remain to be elucidated. In this report, we intended to identify the factor or factors that induce Lcn2 expression. Up-regulation of Lcn2 expression after X-ray exposure was detected in the heart, the kidney and especially in the liver. Primary culture of liver component cells revealed that this up-regulation in the liver was induced in hepatocytes. Up-regulation of Lcn2 expression was also detected in HepG2 cells after the administration of X-rays or H(2)O(2). Interestingly, up-regulation of Lcn2 expression after H(2)O(2) treatment was canceled by the addition of the anti-oxidants, dimethylsulfoxide or cysteamine. These results strongly suggest that Lcn2 expression is induced by reactive oxygen species. Therefore, Lcn2 could be a useful biomarker to identify oxidative stress both in vitro and in vivo.

Harmonic Minimization in Multilevel Inverters Using Modified Species-Based Particle Swarm Optimization

Abstract: Harmonic minimization in multilevel inverters is a complex optimization problem that involves nonlinear transcendental equations having multiple local minima. In this paper, a solution to the harmonic minimization problem using a novel particle swarm optimization (PSO) approach based on species-based PSO (SPSO) is presented. The original SPSO is modified, which increased the robustness of algorithm to find global optimum of the search space. The proposed method is able to find the optimum switching angles when their number is increased, while it is not possible to determine them using either conventional iterative techniques or resultant theory method. Theoretical results are verified by experiments and simulations for an 11-level H-bridge inverter. Results show that the proposed method effectively minimizes a large number of specific harmonics, and the output voltage results in very low total harmonic distortion and switching frequency.