Batman University

About: Batman University is a education organization based out in Batman, Turkey. It is known for research contribution in the topics: Diesel fuel & Diesel engine. The organization has 300 authors who have published 810 publications receiving 10346 citations. The organization is also known as: Batman Üniversitesi.

Effects of natural hard shell particles on physical, chemical, mechanical and thermal properties of composites:

Abstract: Shelled herbal foods are widely consumed. The evaluation of the shells of these foods is important due to their features such as low cost, ease of recycling and environmental friendliness. In this ...

Analyzing Wrestlers' Perceptions of Wrestling by Studying the Metaphors of the Athletes from the Turkish National Team

Abstract: This study aimed to explore the perceptions of wrestlers on the Turkish national wrestling team by analyzing their metaphors for wrestling. 107 athletes voluntarily participated in this study in 2013. Data were collected by asking the volunteers to fill in the blanks of the following sentence: “Wrestling is like … since …” In this way, it was expected that each participant would come up with a metaphor. For this study, the phenomenology research design was used and the data were analyzed using the content analysis technique. Within this scope, the analysis and interpretation of data is carried out in five stages: (1) Specifying the metaphors (2) Classifying the metaphors (3) Developing the categories (4) Ensuring validity and reliability (5) Entering data into SPSS program for the quantitative data analysis. According to the findings of the research, the participants generated 59 valid metaphors for wrestling. 10 different categories were developed by examining common characteristics of the metaph...

Indoor radon and gamma spectrometric measurements for the Erzincan Basin on North Anatolian Fault Zone, Turkey

Abstract: Indoor radon and soil radioactivity levels were determined for Erzincan province in Turkey. Indoor radon concentrations were determined in 89 dwellings using CR-39 passive Solid State Nuclear Track...

Volunteerism and international sport organisations: XVII. Mediterranean Games

Abstract: After the recent candidacy process and while the Olympic Games are going on to be a dream, very important and large-scale organizations are continuing to be done in our Country. The head of them is XVII. Mediterranean Games which can not be placed in Greece because of economical reasons. One of the most important activities as such large and the successful execution of the multi-level voluntary organization of sporting events lead voluntary organization. The aim of this study; is to determinate the demographics and causes of participation of volunteers who are employed in the Games of which Mersin is the host, and to determinate the volunteers at the individual and activity level during the Games. In this study, the method of qualitative research approach is applied on 29 employed volunteers in Games. At the end of the interviews face to face with volunteers; the assessments on individual and activity level during the organisation and demographic characteristics and causes of participation are revealed.

Determining relevant features in estimating short-term power load of a small house via feature selection by extreme learning machine

Abstract: Estimating short-term power load is a fundamental issue in the power distribution system. Since short-term power load is related to many parameters such as weather conditions, and time. The aim of this study is to determine the relevant parameters in estimating short-term power load not only in order to decrease the computational cost, but also to achieve higher success rates. Furthermore, by using selected features the required memory, equipment and communication costs are also decreased in real time applications. Feature selection by extreme learning machine method was used in determining relevant features. The short-term power loads of two houses (one of them has a power generation capability) were used in tests and achieved results showed lower error rates were obtained by using less number of features.