No abstract

Reliability is the most important qualitative properties of products and industrial electronic systems. Today, industrial electronic systems need to produce products with maximum reliability. In every industry, when a system fails, it becomes harmful in various aspects such as economic, human and political; therefore, accurate estimation of system reliability is very important. Previous methods to calculate system reliability assumed that a large number of components failures are statistically independent. Considering such a hypothesis makes it possible to calculate probability and mathematical computation, but it does not provide perfect system reliability. This paper presents a simple and new technique for reliability analysis by considering unequal reliability and non-identical distribution of correlated components for k-out-of-n and coherent systems. The efficiency of our proposed method is demonstrated by computing the reliability of Bridge system. The results show that the function of existing components correlation has a major impact, and that ignoring it has a significant effect on system safety.

Introduction: The aim of this study was to determine the role of mental disorders in predicting the treatment seeking (Treatment seeking and non-treatment seeking) among people with substance abuse disorders. Methods: The research method was analytical and cross-sectional. The statistical population of this study was people with opioid substance abuse disorder in Meybod City. The participants of the study included two groups of people with non-treatment seeking substance abuse disorders (n = 40) and the treatment seeking group (n = 40) who were selected by available sampling according to the specific conditions of these individuals. The data collection tool in this study was the Millon Mental Disorders Test and the data were analyzed using logistic regression analysis with using SPSS software version 23‎‏ ‏. Results: The findings of the present study showed that mental disorders could predict the status of people with substance abuse disorders in whether they are treatment seeking or non-treatment seeking. The results showed that non-treatment seeking group had a higher score in narcissistic personality disorder ‎(B= 0.27; Exp(B) = 1.31)‎, which was a statistically significant difference, but the treatment-seeking group had a higher score in antisocial personality disorders (B=-0.18; Exp (B) =0.83) and delusional disorder (B=-0.50; Exp (B) = 0.61). This difference was also statistically significant. Conclusion: Therefore, according to the findings, it can be concluded that there are different mental disorders between the two groups of treatment seeking and non-treatment seeking that should be considered by therapists. The findings of this study could pave the way for future research on comorbid substance abuse disorders and provide new research pathways for the researchers in the field of addiction treatment.