Osmaniye Korkut Ata University

About: Osmaniye Korkut Ata University is a education organization based out in Osmaniye, Turkey. It is known for research contribution in the topics: Catalysis & Neutron. The organization has 341 authors who have published 869 publications receiving 8259 citations.

Evaluation of the clinical chemistry tests analytical performance with Sigma Metric by using different quality specifications - Comparison of analyser actual performance with manufacturer data

Abstract: The interest in quality management tools/methodologies is gradually increasing to ensure quality and accurate results in line with international standards in clinical laboratories. Six Sigma stands apart from other methodologies with its total quality management system approach. However, the lack of standardization in tolerance limits restricts the advantages for the process. Our study aimed both to evaluate the applicability of analytical quality goals with Roche Cobas c 702 analyser and to determine achievable goals specific to the analyser used.The study examined under two main headings as Sigmalaboratory and Sigmaanalyser. Sigmalaboratory was calculated using internal and external quality control data by using Roche Cobas c 702 analyser for 21 routine biochemistry parameters and, Sigmaanalyser calculation was based on the manufacturer data presented in the package inserts of the reagents used in our laboratory during the study. Sigma values were calculated with the six sigma formula.Considering the total number of targets achieved, Sigmaanalyser performed best by meeting all CLIA goals, while Sigmalaboratory showed the lowest performance relative to biological variation (BV) desirable goals.The balance between the applicability and analytical assurance of "goal-setting models" should be well established. Even if the package insert data provided by the manufacturer were used in our study, it was observed that almost a quarter of the evaluated analytes failed to achieve even "acceptable" level performance according to BV-based goals. Therefore, "state-of-the-art" goals for the Six Sigma methodology are considered to be more reasonable, achievable, and compatible with today's technologies.

The importance of the different kinds of energy sources for energy future of Turkey

Abstract: Nowadays, the need of energy has been increasing day by day with the population growth and the advancements of technology. In this study, the current state of nuclear, wind and solar energy on the worldwide has been generally investigated. The general assessments have been made based on Turkey’s energy potential and the evaluation situation of this potential. The current political structures of countries are generally assessed and under this policy, the last situation and the latest implemented innovations are given. Turkey’s energy demand is constantly increasing and Turkey is a country that needs to energy imports. This is a need for new energy sources to meet the growing need for energy. Nuclear, wind and solar energy are the new sources of energy to the fore in our country recently. In this study is given general information on the usage of energy sources of making and some deficiencies were been emphasized by political considerations in this regard.

Estimation of daily evapotranspiration in Košice City (Slovakia) using several soft computing techniques

Abstract: Accurate estimation of evapotranspiration is one of the main aspects of water management. In this study, the capabilities of soft computing techniques for estimating daily evapotranspiration in Kosice (Slovakia) were investigated. Daily solar radiation (SR), relative humidity (RH), air temperature (T), and wind speed (U) were the meteorological variables used for modeling. Based on the data, different combinations of multilayer perceptron (MLP), support vector regression (SVR), multilinear regression (MLR) models were generated. Model results are compared with each other and with the Hargreaves-Samani, Ritchie, and Turc empirical equations using three statistical criteria, namely mean square error (MSE), mean absolute relative error (MAE), and determination coefficient (R2). Of the empirical formulas applied, the Hargreaves-Samani equation gave the most compatible results with the Penman FAO 56 equation. Error percentage histograms were generated as a reference criterion. Model results show that the MLP model performs better than the other soft computing techniques used.