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This study aimed to identify Bolu central district secondary school teachers' views on organizational deviance, psychological ownership and social innovation and to determine whether these views were related. The universe of the study conducted with relational screening model was composed of 360 teachers employed in Bolu central district secondary schools. Psychological Ownership, Organizational Deviance and Social Innovation Scales were used as data collection tools. Means, standard deviation and Spearman's Rho correlation analysis were used in data analysis. According to research results it was found that teachers displayed organizational deviance behaviors towards themselves or their coworkers albeit in low levels and agreed to the items related to psychological ownership and social innovation. Negative, low level and significant relationships were detected between teachers' views on organizational deviance towards self and coworkers, psychological ownership and social innovation. Also, a positive, medium level significant relationship was found between psychological ownership and social innovation.

Today, image processing applications in agriculture seems to spread rapidly. Image processing in agriculture are used in many areas such as classification of products, the detection of weeds, crop yields and weight estimation. In this study weight estimation of bread wheat and durum wheat in different amounts was performed by using image processing techniques. Image processing techniques were applied by using Matlab software. The counting of wheat kernels in image and weight estimation was carried out. Success rates were determined by comparing estimated weights of wheat kernels and their actual weight.

Shipbuilding industry grows rapidly due to the increasing growth of economies and thus, the need for new and bigger ships emerge. Manufacturing of ships in shipyards includes harmful processes, such as welding, which impact the workers and the environment. As a consequence of increase in demand for new ships, deleterious welding fume and emissions all over the world increase year by year. Welding fume includes hazardous micro and sub-micro sized metal particulates and in addition to welding fume, welding emissions consist of detrimental gaseous wastes as well. In this study, a set of experiments was designed by Taguchi method. These experiments were realized by two welders using two different types of covered electrodes (rutile and cellulosic), welding speeds and currents on Grade A shipbuilding steel, which is one of the most common steels in shipbuilding. After the experiments, fume formation rate was measured and it was observed that the contributions of the factors are 92.47%, 5.42% and 1.66% for electrode type, current and welder, respectively. The results were assessed using Taguchi and ANOVA and evaluated in terms of environment and occupational health and safety.