Background: Tanshinone IIA (TIIA) is one of the active constituents derived from the rhizome of Danshen, a traditional Chinese herbal. Recently, microRNAs (miRNAs) have been suggested to be associated with the anticancer role of TIIA. However, it remains vague of the interaction between miRNAs and TIIA in glioma, a common aggressive brain tumor in humans. Methods: Expression of miRNA (miR)-16-5p and talin-1 (TLN1) was detected using reverse transcription-quantitative polymerase chain reaction and Western blotting. Cell proliferation, migration and invasion were assessed with cell viability assay, transwell assay, Western blotting, and xenograft tumor experiment. The target binding between miR-16-5p and TLN1 was confirmed by dual-luciferase reporter assay and RNA pull-down assay. Results: TIIA treatment inhibited cell viability, migration and invasion, and decreased Cyclin D1, matrix metalloproteinase (MMP)-9 and Vimentin expression in glioma T98G and A172 cells both in vitro and in vivo. Thus, TIIA induced anti-glioma role, wherein miR-16-5p was upregulated and TLN1 was downregulated. Moreover, silencing miR-16-5p could abate TIIA-mediated suppression on glioma cell proliferation, migration and invasion in vitro and in vivo. TLN1 overexpression also exerted tumor-promoting effect in TIIA-treated T98G and A172 cells. Mechanically, miR-16-5p could regulate TLN1 expression via target binding, and depleting TLN1 could counteract the inhibitory effect of miR-16-5p knockdown on the curative effect of TIIA in T98G and A172 cells. Conclusion: TIIA exerted the anti-proliferation, anti-migration and anti-invasion role in glioma cells both in vitro and in vivo partially through regulating miR-16-5p/TLN1 axis.

Guide vane closure scheme (GVCS) optimisation in hydroturbine generating unit (HTGU) under extreme conditions is one of the most important issues in hydropower plant design and operation. It is a kind of multiobjective constrained optimisation problem that contains the coordination of hydraulic and mechanical dynamic processes of many system states. In such a problem, the traditional optimisation objectives often include the control of the rotational speed of the HTGU and the suppression of the fluctuation amplitudes of the hydraulic pressure at different locations. In order to improve the overall control performances in load rejection process, an improved multi-objective two-archive evolutionary algorithm (TAEA) is put forward for GVCS with chaotic operators. The TAEA-based multi-objective optimisation carefully takes the multiple objective functions and the relevant constraint treatments including the limits on rotational speed peak, speed fluctuations, surge tank water levels, speed governor movement and hydraulic pressure oscillations into consideration. Simulation experiments of a real hydroturbine unit under load rejection condition are conducted with the proposed optimisation scheme and comparative methods. The results indicate that TAEA algorithm can achieve better overall performances and contribute to the operational stability of HTGU.

No abstract

No abstract