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Determination of the Level of some Adipokines in Hypo-and Hyperthyroids Patients in Baghdad City
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Determination of the level of adipokines (obestatin, vaspin, tumor necrosis factor-? and interleukin-6)in hypo-and hyperthyroid patients from Educational Baghdad Hospital in Baghdad City was investigated. Fifty patients with hypothyroidism and Fifty patients with hyperthyroidism were selected. A control group of thirty euthyroid persons was included. Blood was collected by vein puncture and serum was separated and stored at –20C. Adipokines (obestatin, vaspin, tumor necrosis factor-? and interleukin-6) were estimated using ELISA method. The findings show a significant (p<0.05) increase in obestatin level in hypothyroid patients, while there is no significant difference in hyperthyroid patientsas compared with the euthyroid subjects. In addition, this study demonstrated a significant (p<0.05) increase in vaspin means in hypothyroid patients compared with euthyroid group. In hyperthyroid patients, there is a significant (p<0.05) decrease in vaspin level in comparison with euthyroid subjects. Furthermore, there is a significant (p<0.05) increase in tumor necrosis factor-? level in hypothyroid and hyperthyroid patients as compared with the euthyroid subjects. The results of this study also explain a significant (p<0.05) increase in interleukin-6 level in hyperthyroid patients, while there is non-significant difference in hypothyroid patients compared with the euthyroid subjects. It is concluded from this study that the levels of interleukin-6 and tumor necrosis factor- ? increased in hyperthyroidism and decreased in hypothyroidism. Obestatin and vaspin were increased significantly in hypothyroid patients.

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Publication Date
Wed May 25 2022
Journal Name
Iraqi Journal Of Science
Raman Scattering Enhancement by silver Nanostructures Prepared by Electrical Exploding Wire Technique
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This project aims to fabricate nanostructures (AgNPS) using the  electrical exploding wire (EEW) technique using Rhodamine 6G dye as the probe molecule, investigate the effect of AgNPS on the absorption spectra and surface-enhanced Raman scattering (SERS) activities, and advance  using porous silicon as an active substrate for surface-enhanced Raman scattering (SERS). X-Ray diffraction (XRD) was used to investigate the structural properties of the nanostructures (AgNPs). Field emission scanning electron microscopy (FE-SEM) was used to investigate surface morphology. A double beam UV-Vis Spectrophotometer was used to analyze the mixed R6G laser dye(of concentration 1x  M)  absorption spectra with the nanostructures AgNPS (of concentra

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Publication Date
Mon Jun 05 2023
Journal Name
Journal Of Economics And Administrative Sciences
Fuzzy Bridge Regression Model Estimating via Simulation
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      The main problem when dealing with fuzzy data variables is that it cannot be formed by a model that represents the data through the method of Fuzzy Least Squares Estimator (FLSE) which gives false estimates of the invalidity of the method in the case of the existence of the problem of multicollinearity. To overcome this problem, the Fuzzy Bridge Regression Estimator (FBRE) Method was relied upon to estimate a fuzzy linear regression model by triangular fuzzy numbers. Moreover, the detection of the problem of multicollinearity in the fuzzy data can be done by using Variance Inflation Factor when the inputs variable of the model crisp, output variable, and parameters are fuzzed. The results were compared usin

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