Irisin is a myokine that controls energy metabolism by making adipose tissue brown. The present goal in doing this research was to determine how irisin concentration relates to other biochemical markers of disease. Hemodialysis (HD) for chronic kidney failure. The study included 30 individuals with end-stage renal disease on HD and 30 healthy subjects as the control group. The ages of all patients and the control group ranged from (25 to 60) years. The excluded criteria included patients with viral hepatitis and diabetes. Serum irisin concentration and the level of fasting serum glucose (FSG), urea, creatinine (Cr), total protein (TP), albumin (Alb), albumin to creatinine ratio (ACR), total cholesterol (TC), alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), sodium (Na+), potassium (K+), calcium (Ca+2), phosphorus (PO4), and vitamin D were measured. The results showed significantly reduced serum irisin, vitamin D, Na+, K+, Ca+2, PO4, TC, ALT, AST, glomerular filtration rate (eGFR), total protein TP, Alb, ACR, weight, height, and a significantly increased level of urea, Cr, and ALP. in patients compared with the control group. Also, the results showed significant negative correlations between irisin and age, weight, height, FSG, Alb, urea, AST, ALP , ALT, Na, and vitamin D in the HD group. While significant positive correlations were found between irisin and body mass index (Cr, Ca, Po4, Tp, TC, and K), as well as significant negative correlations between vitamin D and weight (hight, BMI, FSG, Cr, Ca, PO4, TP, Alb, urea, ALP, ALT, and Na), While significant positive correlations were found between vitamin D age, AST, and K, In conclude, it has been found that serum irisin levels and vitamin D levels both fell considerably in uremic patients receiving frequent HD. Irisin has a perfect cut-off value of 78% sensitivity and 99.9% specificity, according to a ROC analysis, suggesting it is a reliable diagnostic marker.
In this article, the lattice Boltzmann method with two relaxation time (TRT) for the D2Q9 model is used to investigate numerical results for 2D flow. The problem is performed to show the dissipation of the kinetic energy rate and its relationship with the enstrophy growth for 2D dipole wall collision. The investigation is carried out for normal collision and oblique incidents at an angle of . We prove the accuracy of moment -based boundary conditions with slip and Navier-Maxwell slip conditions to simulate this flow. These conditions are under the effect of Burnett-order stress conditions that are consistent with the discrete Boltzmann equation. Stable results are found by using this kind of boundary condition where d
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The preparation and characterization of innovative nanocomposites based on zinc oxide nanorods (ZNR) encapsulated by graphene (Gr) nanosheets and decorated with silver (Ag), and cupper (Cu) nanoparticles (NP) were studied. The prepared nanocomposites (ZNR@Gr/Cu-Ag) were examined by different techniques including Field Emission Scanning Electron Microscope (FESEM), Transmission electron microscopy (TEM), Atomic force microscopy (AFM), UV-Vis spectrophotometer and fluorescence spectroscopy. The results showed that the ZNR has been good cover by five layers of graphene and decorated with Ag and Cu NPs with particles size of about 10-15 nm. The ZNR@Gr/Cu-Ag nanocomposites exhibit high absorption behavior in ultraviolet (UV) region of sp
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Estimation of the unknown parameters in 2-D sinusoidal signal model can be considered as important and difficult problem. Due to the difficulty to find estimate of all the parameters of this type of models at the same time, we propose sequential non-liner least squares method and sequential robust M method after their development through the use of sequential approach in the estimate suggested by Prasad et al to estimate unknown frequencies and amplitudes for the 2-D sinusoidal compounds but depending on Downhill Simplex Algorithm in solving non-linear equations for the purpose of obtaining non-linear parameters estimation which represents frequencies and then use of least squares formula to estimate
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