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This study was carried out with the goal of examining the relationship between athletes' passion and perfectionism levels and athlete burnout, and to determine to what extent passion and perfectionism scores predict burnout experienced by athletes. A total of 267 athletes, located in various parts of Turkey and competing in various branches of sport, participated in the study on a voluntary basis. Of the participants, 65 were women (mean age: 20.12 ± 3.68 years) and 202 were men (mean age: 20.2 ± 4.04 years). The data collection tools that employed were the Passion Scale, Sport-Specific Multidimensional Perfectionism Scale, and Athlete Burnout Measure. Descriptive statistics, Pearson Correlation Analysis, and Multiple Linear Regression Analysis were used in the analysis of the data. The results of multiple linear regression analysis conducted to test the predictive effects of athletes' passion and perfectionism scores on burnout scores showed that the perfectionism subdimensions of perceived parental pressure and concern over mistakes were significant predictors of the burnout subdimensions of reduced sense of accomplishment and emotional/physical exhaustion. The analysis further revealed that obsessive passion and the perfectionism subdimensions of perceived parental pressure and concern over mistakes were effective in predicting the burnout subdimension of devaluation. In conclusion, the results of this study indicate that athletes who have developed obsessive passion toward their sport and have perfectionist tendencies that are not harmonizable will be more prone to experience burnout.

This work investigates the effect of various silicone based softener particle sizes on woven cotton fabric properties. Twilland plain-woven 100% cotton fabrics dyed with red and blue reactive dyes were used to observe how the softeners acted on different weave patterns and colors. Fabrics treated with macro-, micro-, and nano-emulsion softeners were assessed for softness, tensile strength, and colorfastness with respect to laundering, perspiration, and crocking. Macro-emulsion softeners gave softer cotton fabric than micro-and nano-softeners. Micro-emulsion softeners had the most favorable tensile properties. Micro-and nano-emulsion softeners imparted better washfastness and perspiration fastness. The effects of silicone softener particle size and fabric construction properties on the softness, fastness, and mechanical properties of the treated cotton fabric were studied.

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Concerns about climate change highlights the needs to understand extreme sea levels and the resulting flood exposure in coastal areas on a global scale. The combined impacts of storm surge, tide, breaking wave setup and potential sea level rise will pose many economic, societal and engineering challenges in coming years. In order to predict the global coastal flood risk, a global sea level dataset of sufficiently long duration is required to undertake extreme value analysis. This presentation will outline the development and application of such a dataset.