Load spectrum is a decisive factor that is used to analyze fatigue, reliability, and durability of components. In this article, the typical load spectrum of proving ground is collected through load measurement equipment. Load-spectrum preprocessing, including spikes filter, signal denoising, and low-amplitude load elimination, are completed. According to parts correlation of automotive transmission systems, the load transmission route is established. The Monte Carlo sampling is applied to analyze interference of random factors in the process of load transfer route. Load spectrum of key parts of the automobile is determined and thus rain flow counting analysis is scheduled. A non-parametric method is used to complete load-spectrum extrapolation. Eventually, one-dimensional and two-dimensional programming load spectrums are built. The technical basis for fatigue life prediction and references for other similar researches are provided in this article.
ABSTRACT. Recent evidence has shown that the microRNA polymorphism may play an important role in the susceptibility to congenital heart disease (CHD). A potentially functional SNP rs4938723 (T>C) in the promoter region of pri-miR-34b/c might affect transcription factor GATA binding and therefore pri-miR-34b/c expression. We genotyped the pri-miR-34b/c polymorphism in a case-control study of 590 patients and 672 controls in a Han Chinese population and assessed the effects of the pri-miR-34b/c polymorphism on CHD susceptibility by TaqMan SNP genotyping assay. There was no association between the pri-miR-34b/c polymorphism and the risk of CHD in both genotype and allelic frequency. In a subsequent analysis of the association between this polymorphism and CHD classification, there was still no significant difference in both genotype and allelic frequency. Our results suggest that the pri-miR-34b/c polymorphism rs4938723 is not associated with susceptibility to sporadic CHD in the Han Chinese population.
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