Browsing by Author "Kaki, B."

Now showing 1 - 2 of 2

Color Distribution of Gingiva Created by Color Schema Maker Software
(Yuzuncu Yil Universitesi Tip Fakultesi, 2016) Burak, A.K.; Kaki, B.
The aim of this study is to create a true gingival shade guide using schema maker softwares. 128 patients’ gingival colors were recorded by a standardized photograph machine under standard light and distance conditions. The recorded images were analyzed by Gimp software to extract RGB values by using color pick tool. RGB values were converted to CIE L*a*b* values. L* values were clustered by ward method. The average CIE L*a*b* values calculated. Gingival images were layered by Gimp software and evaluated by Wenovo pictures to colors software v1.0. According to this study, 3 clusters using CIE L values and 9 subclusters with using CIE a*b* values have calculated by hierarchical and k means clustering methods. 256 colors that can be used for gingiva color determination has been calculated by Wenovo color schema maker software. With the limits of this study, colors of the gingiva were evaluated for only white race and patients who admitted to our university. Wenovo schema maker software calculated more colors than statistical method that can be used for color determination of the gingiva. Further studies are needed to create more reliable color gingiva shade guide with a large number of patients and different races and places. © 2016, Yuzuncu Yil Universitesi Tip Fakultesi. All rights reserved.
Modeling the Mite Counts Having Overdispersion and Excess Values of Zero Using Zero-Inflated Generalized Poisson Regression
(Agricultural Research Communication Centre, 2016) Yesilova, A.; Kaki, B.
The aim of this study was to apply for zero-inflated generalized Poisson regression in the modelling of mite counts that include excess values of zero and overdispersion. The results of zigp(μi,-i,ωi, as mean regression, overdispersion and zero-inflated regression, were determined in three stages. It was obtained that 33.33% (120 observations) of the total numbers of mite taken as a dependent variable to model had zero values. The over dispersion parameter range was detected to be quite high. It was determined that zero-inflated data and overdispersion had an important effect on mite counts (P< 0.01). The effects of region, month, year, varieties, temperature and humidity were found to be statistically significant on mite counts (P< 0.01). The number of eggs found in harmful mites (Aculus schlechtendali) in the Starking variety was relatively higher than in the Golden variety. The results displayed that the differences among regions and varieties regarding the number of eggs found in harmful mites were statistically significant (P<0.01). © 2016 Indian J. Agric. Res.