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Thermal decomposition of inorganic compounds have been analyzed by simultaneous differential thermal analysis (DTA) method. Also phase transitions and critical points have been investigated. Additionally a computer model based on backpropagation multilayer feed-forward artificial neural networks (ANNs) have been used for the stimulation and prediction of critical points and phase transitions of inorganic compounds. Experimental data and output values of artificial neural networks have been compared and ANN predictions showed a considerably good result due to some unjustified data values and ANN predictions concurred with each other. [ABSTRACT FROM AUTHOR]

The preliminary stretching effect on mechanical properties of natural (wool, hair, and silk) and synthetic polyamide fibres (nylon, capron) and conformational transitions are investigated by using a tensile tester. It is shown that α-keratin fibres (wool and hair) show silk-like properties and properties of synthetic polyamide fibres for preliminary extension of 18–24% and 34–38%, respectively. © 2007 American Institute of Physics [ABSTRACT FROM AUTHOR]