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Objective To investigate the effect of upregulation of retinoic acid-induced 2 (RAI2) expression on the migration and invasion of endometrial cancer cells. Methods The endometrial cancer cell lines HEC-1-A and KLE were used for this study. Scratch assay and Transwell chamber assay were used to evaluate the migration and invasion of endometrial cancer cells. Immunofluorescence and Western blot were used to detect the expression of RAI2, E-cadherin, and vimentin. Results The upregulation of RAI2 expression in HEC-1-A and KLE cells significantly reduced migration and invasion ability (P＜0.05). The expression levels of RAI2 and E-cadherin were increased, while the vimentin expression level was decreased (P＜0.05). Conclusions Upregulation of RAI2 expression may inhibit endometrial cancer cell migration and invasion through epithelial-mesenchymal transition.

Background: Cervical cancer is the fourth commonly occurred cancer in women around the world. However, it still lacks effective approaches to improve current prognosis of cervical cancer and prevent metastasis.

To effectively cope with global climate change and the environment pollution problem, all countries are promoting low-carbon development actively. China is rich in solar energy resources, which has important influence on the sustainable development. Photovoltaic and thermal power generation were compared by constructing the comprehensive comparison model which is based on the interval weight and set pair analysis method. Then, their superiorities can be judged. The results of the study can provide strategic advice for investors in the solar-thermal and photovoltaic power generation to make decisions, which has far-reaching significance for them.

Because wind power is intermittent, random and so on, large scale grid will directly affect the safe and stable operation of power grid. In order to make a quantitative study on the characteristics of the wind speed of wind turbine, the wind speed time series model of the multi wind turbine generator is constructed by using the mixed Copula-ARMA function in this paper, and a numerical example is also given. The research results show that the model can effectively predict the wind speed, ensure the efficient operation of the wind turbine, and provide theoretical basis for the stability of wind power grid connected operation.