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Erişime Açık

Analysis of the notions of identity and selfness in Istanbul Biennial and Manifesta Biennial

Subaşı, Ege

Art, throughout history, has been a way of expression, in which people prefer to explain themselves, understand the world, and explain societies to each other. This way of expression, took shape on different notions, concepts, and phenomena, depending on the period. Notions of identity and selfness are the concepts that artists are working on. These notions, socially generate individuals and society, and frame them, also have been tried to interpret by approaching the hands of different disciplines of social sciences. In this work; identity and selfless which are some of the important notions ...Daha fazlası

Erişime Açık

Looming cognitive style as a predictor of social anxiety

Akbay, Ayşenaz

Looming Cognitive Style (LCS) has been proposed as a cognitive vulnerability factor specific to anxiety. This study aims to investigate the predictive role of LCS on trait and state social anxiety. With this purpose, for social anxiety manipulation, 30 participants were asked to make a short presentation about themselves. This relationship of concern was aimed to be investigated by assessing LCS and social anxiety assessments taken prior to the presentation. In this regard, the Demographic Information Form, Liebowitz Social Anxiety Questionnaire, Looming Maladaptive Style Questionnaire-Revised ...Daha fazlası

Erişime Açık

Large-scale forecasting of large fluctuations using wavelet coherence and multifractal behavior and developing wavelet coherence for multiple time series

Oygur, Tunç

Shocks, jumps, booms, and busts are typical large fluctuation markers that appear in crisis. Identifying financial crises and estimating leading indicators with strong relations during crisis periods have an essential role in the literature. This thesis examines the dynamic co-movements of leading indicators' multifractal features to identify financial crises due to large fluctuations. The detected dynamic relationships predict leading indicators with scale-by-scale analysis and make large-scale predictions better than challenger models. As a natural result of these studies, the n-dimensional ...Daha fazlası

6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.

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