Intense volatility in financial markets affect humans worldwide. Therefore, relatively accurate prediction of volatility is critical. We suggest that massive data sources resulting from human interaction with the Internet may offer a new perspective on the behavior of market participants in periods of large market movements. First we select 28 key words, which are related to finance as indicators of the public mood and macroeconomic factors. Then those 28 words of the daily search volume based on Baidu index are collected manually,

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Based on the data from China Health and Retirement Longitudinal Survey (CHARLS) and the exploratory factor analysis in SPSS19 software, the paper built a structural equation model in AMOS17 software to perform first- and second-order confirmatory factor analysis on parents’ marital quality. And then discussed how parents’ marital quality influence their young children’s benefits in career and family through the relation between neighbors, the childhood of their children and the children’s happiness level in childhood. The results are as follows. The direct influence of parents’ marital quality on their young children’s benefit is -0.06, which indirectly proved that parents’ marital quality in China is still low compared with some other countries. However, the combined impact influence of parents’ marital quality on their young children’s benefit is 0.013 and the indirect influence of parents’ marital quality on their young children’s benefit through the childhood of their children is 0.088, which is an evidence that parents’ marital quality has a extended and combined influence on their young children’s benefit.

Aims: To explore new SNP sites of miRNAs associated with gastric cancer, thereby providing valuable biomarkers to diagnose and screen gastric cancer. Materials & methods: A 1:1 case–control study was carried out. Microarrays were used to screen the SNP loci of miRNAs in the genomes of matched pairs of patients, 96 with gastric cancer and 96 healthy controls. For validation, mass spectrometry was used to classify miRNA SNP loci in 622 pairs of subjects. Results: rs7143252 was linked to a higher occurrence of gastric cancer. Conclusions: These results suggest that rs7143252 could be used as a specific biomarker to diagnose and screen gastric cancer.