Fabric comfort comprises fabric sound which is the sound generated by fabric during wear by users. In this work sound generated by samples of polyester and cotton-polyester woven fabric was investigated. The sample specifications in warp wise direction were identical. In order to stimulate sound generated by the samples, an apparatus capable of sound induction was designed and developed. The recorded sound signals were analyzed, using Discrete Fourier Transform, together with Discrete Wavelet Transform. Sub-bands energy of FFT and energy coefficients of wavelet transform were calculated. The effect of Physical and mechanical properties on sound features of samples was predicted using Multilayer Feed forward network with back propagation learning algorithm. The network generated results showed that, fabric surface roughness and drape coefficient are the most and the least effective parameters affecting sound volume respectively.
Background: The existence of an autistic child causes much mental burden and concern for parents and disrupts their normal functioning in both home and society. Objectives: The present study seeks to compare mental health, stress, and coping styles in mothers of children with/without autism in Ahvaz. Methods: This descriptive-analytical study was performed on 120 samples of all mothers of children with/without autism in Ahvaz. Actually, from the statistical population of the study, 120 (60 mothers with autistic children and 60 mothers with normal children) were selected using the convenience sampling method. After explaining the objectives of the research to the participants and obtaining a consent form, the questionnaire was answered by them. Stress Questionnaire, Mental Health Questionnaire, and Coping Strategies Questionnaire were used for data collection. Data were analyzed both descriptively and inferentially (MANOVA and ANOVA) using the SPSS version 21. Results: The results indicate a significant difference between mental health (F = 342.14, P < 0.001), stress (F = 10.71, P < 0.001), and coping styles (F = 156, P < 0.001) regarding the mothers of autistic/non-autistic children. There is also a significant difference between the avoidance coping strategies (F = 143.12, P < 0.001) used by mothers of children with/without autism in Ahvaz. Conclusions: As the results showed, mothers of normal children were significantly different from mothers of autistic children in using avoidance-oriented coping styles. We can use the findings of this study in clinical situations in order to help mothers with autistic children to reduce their stress, so they can control their lives better with less stress, and this way, the quality of their lives will be higher.
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