The goal of this study was to investigate the protein peroxidation role by measuring serum levels of advanced oxidation protein products (AOPP) in type 2 diabetic patients with or without retinopathy and comparing them to controls to see if circulating AOPP levels can be used as a detection biomarker for DR. And see which of the two widely used antidiabetic treatment groups had the most impact on this oxidative stress marker. The groups were divided into two subgroups: 1) 70 type 2 diabetic patients (36 male, 34 female), 35 with diabetic retinopathy (DR) and 35 with no evidence of DR, and 2) non-diabetic controls (11 male, 9 female) were chosen from Ibn AL-Haitham Hospital for Ophthalmology and a Specialized Center for Endocrinology and Diabetes. AOPP levels were significantly higher in diabetic patients with (12.5±5.6 ng/ml) or without DR (5.1±4 ng/ml) when compared to those of controls (1.45 0.8 ng/ml) (p<0.05). AOPP levels were higher in the late stage of DR compared to the early stage(14 3.15 ng/ml ) and ( 10 2.13 ng/ml) respectively so. Furthermore, Dipeptidyl peptidase-4 inhibitors (DPP-4 inhibitors) cause a better reduction in AOPP levels compared to Sulfonylureas (SUs) in the NDR group. Increased protein oxidation may involve in the pathogenesis and severity of DR and the serum AOPP levels have the prospect to become a marker for the diagnosis of DR. DPP-4 inhibitors were better in slowing the progression of the disease compared to SUs.
In recent years, the attention of the international community and intergovernmental and non-governmental organizations has grown into a new dimension of population displacement, called displacement within the country as a result of conflicts and the expansion of tacit groups, using sentences to describe such conflicts as "identity-based conflict", "ethnic conflict" "Sectarian conflict", in an attempt to determine the nature and characterization of those conflicts. In such conflict-stricken conditions, the value of a citizen - a person not directly involved in the conflict - is measured by the potential gains that that person has made to the conflicting parties, as civilians have been indirect victims of military operations, Favor
... Show Moreدور الذكاء الصناعي في تحقيق رضا الزبون وانعكاسه على محاسبة التكاليف بحث تطبيقي في شركة الصناعات الالكترونية
Isobaric Vapor-Liquid-Liquid equilibrium data for the binary systems ethyl acetate + water, toluene + water and the ternary system toluene + ethyl acetate + water were determined by a modified equilibrium still, the still consisted of a boiling and a condensation sections supplied with mixers that helped to correct the composition of the recycled condensed liquid and the boiling temperature readings in the condensation and boiling sections respectively. The VLLE data where predicted and correlated using the Peng-Robinson Equation of State in the vapor phase and one of the activity coefficient models Wilson, NRTL, UNIQUAC and the UNIFAC in the liquid phase and also were correlated using the Peng-Robinson Equation of State in both the vapo
... Show MoreThis paper presents the implementation of a complex fractional order proportional integral derivative (CPID) and a real fractional order PID (RPID) controllers. The analysis and design of both controllers were carried out in a previous work done by the author, where the design specifications were classified into easy (case 1) and hard (case 2) design specifications. The main contribution of this paper is combining CRONE approximation and linear phase CRONE approximation to implement the CPID controller. The designed controllers-RPID and CPID-are implemented to control flowing water with low pressure circuit, which is a first order plus dead time system. Simulation results demonstrate that while the implemented RPID controller fails to stabi
... Show MoreAuthors in this work design efficient neural networks, which are based on the modified Levenberg - Marquardt (LM) training algorithms to solve non-linear fourth - order three -dimensional partial differential equations in the two kinds in the periodic and in the non-periodic - Periodic. Software reliability growth models are essential tools for monitoring and evaluating the evolution of software reliability. Software defect detection events that occur during testing and operation are often treated as counting processes in many current models. However, when working with large software systems, the error detection process should be viewed as a random process with a continuous state space, since the number of faults found during testin
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