Investigating complex interaction patterns among multiple process variables (PVs) is an important task for fault propagation analysis and calculation of final risks. This paper demonstrates a robust method to estimate interaction strengths among process variables. The method is based on dynamic fault semantic networks (FSN) combined with Bayesian belief theory for probabilistic tuning of the fault semantic network. The effectiveness and feasibility of the proposed technique is verified on simulated data emanating from Tennessee Eastman (TE) process. The extracted patterns of interaction structure among PVs aid to uncover the polishing mechanisms and provide more insights to investigate fault propagation scenarios.
Education is one of the most important parts of every one’s life, higher education helps people get better job offers and build their future, more successfully. Any failure in educational programs could possibly hurt society as well as country’s economy. Therefore, we need to find the major causes of educational failure and setup appropriate plans to reduce the undesirable consequences. In this study, we perform a comprehensive study on previous studies on finding major causes of educational failure in different provinces of Iran and try to focus on major factors influencing this problem. The results of our survey have concluded that there are three common factors including little interest in learning, working along with education and living status. The implementation of some statistical tests has revealed that these factors have some moderate impacts on educational failure
Obesity is a complex multifactorial disease. The worldwide prevalence of overweight and obesity has doubled since 1980 to an extent that nearly a third of the worldchr('39')s population is now classified as overweight or obese. On the other hand, sports scientists have suggested exercise to prevent further spread of this epidemic. In addition to exercise, the use of natural fat-burning supplements such as green tea was able to attract a lot of people. But recently, white tea in some domestic and foreign research was able to show that like green tea and even better, it will have the potential to burn fat. Therefore, it can be suggested that researchers fill the scientific gap by conducting more research on the comparison of green and white tea and its effects on obesity-related indicators.
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