Ahi Evran University

About: Ahi Evran University is a education organization based out in Kırşehir, Turkey. It is known for research contribution in the topics: Density functional theory & Ab initio. The organization has 842 authors who have published 2270 publications receiving 21904 citations.

Suppression of the Shuttle Effect in Li–S Batteries via Magnetron Sputtered TiO2 Thin Film at the Electrode–Electrolyte Interface

Abstract: The practical application of lithium–sulfur (Li–S) batteries is still an issue mainly due to the shuttle phenomenon originating from the migration of lithium polysulfides (LiPs) between the electro...

Prognostic Value of Inflammation Parameters in Patients With Non-ST Elevation Acute Coronary Syndromes:

Abstract: Inflammation parameters can predict the severity of coronary artery disease and predict long-term mortality However, there is no study in which these parameters were evaluated together We compared the prognostic values of inflammation parameters in predicting long-term mortality in patients with non-ST elevation acute coronary syndrome (NSTE-ACS) Consecutive patients with NSTE-ACS (n = 170) were included in the study Monocyte/high-density lipoprotein cholesterol (HDL-C) ratio (MHR), lymphocyte/monocyte ratio (LMR), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), total cholesterol/HDL-C ratio (TC/HDL-C), triglyceride /HDL-C ratio (TG/HDL-C), total antioxidant status (TAS), total oxidant status (TOS), oxidative stress index, and ischemia-modified albumin (IMA) were measured Total antioxidant status and TOS variables were significant independent predictors of mortality When 117 value is taken as a cutoff point of TAS values, the sensitivity (700%) and specificity (7739%) values calculated for this value indicate that TAS variable has a predictive value on mortality Monocyte/high-density lipoprotein cholesterol ratio, LMR, NLR, PLR, TC/HDL-C, TG/HDL-C, TOS, and IMA levels could not be used alone in the diagnosis, severity assessment, and predicting future mortality of NSTE-ACS Only TAS levels had a predictive value on mortality

The Evaluation of Analytical Performance of Immunoassay Tests by Using Six-Sigma Method

Abstract: Background The Six-Sigma Methodology is a quality measurement method in order to evaluate the performance of the laboratory. In the present study, it is aimed to evaluate the analytical performance of our laboratory by using the internal quality control data of immunoassay tests and by calculating process sigma values. Methods Biological variation database (BVD) are used for Total Allowable Error (TEa). Sigma values were determined from coefficient of variation (CV) and bias resulting from Internal Quality Control (IQC) results for 3 subsequent months. If the sigma values are ≥6, between 3 and 6, and 6 was found for TPSA and TSH for the both levels of IQC for 3 months. When the sigma values were analyzed by calculating the mean of 3 months, folate, LH, PRL, TPSA, TSH and vitamin B12 were found >6. The mean sigma values of CA125, CA15-3, CA19-9, CEA, cortisol, ferritin, FSH, FT3, PTH and testosteron were >3 for 3-months. However, AFP, CA125 and FT4 produced sigma values <3 for varied months. Conclusion When the analytical performance was evaluated according to Six-Sigma levels, it was generally found as good. It is possible to determine the test with high error probability by evaluating the fine sigma levels and the tests that must be quarded by a stringent quality control regime. In clinical chemistry laboratories, an appropriate quality control scheduling should be done for each test by using Six-Sigma Methodology.

Determinants of Target Dividend Payout Ratio: A Panel ARDL Analysis

Abstract: The aim of this study is to find out the determinants of target dividend payout ratio of BIST-listed firms operating in the non-metallic products (cement) manufacturing industry in the period of 2002-2012 Through this aim, the short and long-run effects of factors related to profitability, liquidity, growth, risk, market expectations and taxation on target dividend payout ratio is analyzed via panel ARDL methodology Empirical findings indicate that in the long-run, factors related to profitability, growth and corporate taxation significantly affect target dividend payout ratio negatively; while factors related to risk and market expectations have statistically significant and positive effects on target dividend payout ratio Additionally, in the short-run only profitability seems to have statistically significant and positive effect on the dependent variable Keywords: Target Dividend Payout Ratio; Dividend Payout Policy; Panel ARDL Methodology JEL Classifications: C33; G35; L61