Yaşar University

About: Yaşar University is a education organization based out in Izmir, Turkey. It is known for research contribution in the topics: Exergy & Job shop scheduling. The organization has 760 authors who have published 1436 publications receiving 20813 citations. The organization is also known as: Yaşar Üniversitesi.

The likelihood of requiring a diagnostic test: Classifying emergency department patients with logistic regression.

Abstract: Background:Emergency departments (EDs) play an important role in health systems since they are the front line for patients with emergency medical conditions who frequently require diagnostic tests ...

Obtaining Volterra Kernels from Neural Networks

Abstract: Both neural networks (NN) and Volterra series (VS) are widely used in nonlinear dynamic system identification. In VS approach, the system is modeled using a set of kernel functions that correspond to different order convolutions. Kernels in VS are typically estimated using an orthogonal expansion technique. In this study, we discuss the method of obtaining VS representation of nonlinear systems from their NN models as an alternative approach and compare its modeling performances against the popular Laguerre basis expansion (LBE) technique. In LBE approach, the critical issues are to select a suitable pole parameter and number of basis functions to be used in the expansions, so that the kernels can be accurately represented. We devised novel approaches to address both issues, the pole parameter is selected using a systematic optimization approach and the number of basis functions is decided using the minimum description length criterion. Our preliminary results on synthetic data indicate that when used with these provisions, LBE yields more accurate kernels estimation results than the NN approach. However, LBE is typically used without these provisions in literature. We demonstrate that with its typical use, kernels estimated using the LBE approach can be quite misleading even though the estimation error may seem to be reasonable. Therefore, we suggest the use NN approach as a reference method to confirm the morphology of the kernels estimated via other approaches, including LBE.

The Comparison of Grandparents’, Parents’, and Young People's Attitudes Toward Lesbians and Gay Men in Turkey

Abstract: The present study aimed to compare attitudes toward lesbians and gay men across three generations in Turkey. Participants were 112 young people, 169 parents, and 125 grandparents. A total of 406 men and women were involved. The short form of Herek's (1998) the Attitudes Toward Lesbians and Gay Men Scale was used. MANOVAs and ANOVAs were used to analyze the data. Results showed the attitudinal differences toward gay and lesbian people across generations. Grandparents have the most negative attitudes, whereas parents have more negative attitudes than their children. When comparing attitudes of each generation across sex, we found that young women have more liberal attitudes toward gay men compared to all other groups. Discussion focuses on understanding the results within the unique cultural context of Turkey.

Spider vs. Prolog: simulating Prolog in Spider

Abstract: Control Network Programming is a programming paradigm that integrates ideas from imperative programming, declarative programming, rule-based systems, nondeterministic programming and graphical programming. Its computation rule is based on an extended specific version of backtracking. The report presents a comparison of the Spider language for control network programming versus the logic programming language Prolog.