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Yayın Analysis of occupational health and safety data between 2003 -2015 in Turkey(PressAcademia, 2017-12-30) Ensari Özay, Müge; Coşkun, SeldenPurpose - The aim of this study was to analyse the officially recorded data of Turkey on occupational accidents by covering various kinds of data between the years 2003 - 2015. By this study a view is aimed to be taken over Turkey’s behaviour on occupational health and safety. Methodology – In this study, the statistical yearbook of the Social Security Institution (SSI) of the Republic of Turkey has been used as a data source. These data are arranged yearly and the trend is evaluated. Findings- The number of occupational accidents had fluctuations as increases and decreases between the years 2003-2012. After the year 2012, the number of occupational and fatal accidents had increased more than twice. The occupational accidents have occurred at the highest rates in the most populated and industrialized two cities in Turkey. Economic activities having the highest percentage of occupational accidents has been determined and interpretated. Conclusion- Occupational accidents can be reduced by taking effective and preventive measures. There are some tasks that should be fulfilled in order to create a secure work place by employers and employees. Employers should apply occupational health and safety legislation and take preventative measures and train the employers regularly against work related accidents. Furthermore, employees should be conscious and careful about the accidents and fulfill their obligations regarding to work safety while working. Public institutions should work more on creating a secure work place and creating a culture of work safety.Yayın The use of the density threshold value as a shape descriptor on the toxicity of benzene derivatives(Swift Journals, 2016-09-01) Ensari Özay, Müge; İnel, YükselThe Quantitative Structure Activity Relationship (QSAR) method, based on the three-dimensional (3D) shapes of formal molecular bodies and computed molecular descriptors, was used to calculate the octanol-water partition coefficient (logKow) of benzene derivatives to indicate their toxicity. The aim of this study is to use electron density threshold values as descriptors in predicting toxicology of benzene derivatives. Through Density Domain Analysis (DDA), a shape fragment database of benzene derivatives was constructed. Electron density threshold values were generated from molecular isodensity counter surfaces (MIDCO) of benzene molecules that were calculated at the ab initio HF/6-31G* level. Multiple linear regression analyses were performed, and two successful QSAR models were obtained. The analysis of variance (ANOVA) ratio for regression (F) and the significance of F (Fs) values was also used to evaluate the predictive power of the established QSAR models. The results indicate that the electron density threshold value, “a”, gives a specific description of the 3D shape of electron density clouds. These models were further analyzed by three 3D shape features as one local and two global descriptors based on the electron density threshold “a” value. The global and local properties of benzene derivatives were found to exhibit similar toxicity behaviors.
