Background/Aims: The tripartite motif containing (TRIM) family plays crucial roles in tumor development and progression. However, little is known about the function and mechanism of TRIM11 in hepatocellular carcinoma (HCC). Methods: The expression levels of TRIM11 were examined by real-time PCR, Western blot and Immunohistochemical (IHC) staining. TRIM11 knockdown cells were produced by lentivirus infection, and functional assays, such as MTT, colony formation assay, migration and invasion assays and a xenograft tumor model were used to investigate the role of TRIM11 in HCC. We also determined the effect of TRIM11 on p53 signaling and its downstream molecules. Results: We found that TRIM11 mRNA and protein levels were significantly increased in HCC tissues as compared with normal tissues; increased levels correlated with poor patient survival. By loss-and gain-of-function investigations, knockdown of TRIM11 suppressed cell proliferation, migration, invasion in vitro and tumor growth in vivo. Moreover, TRIM11 negatively regulated p53 expression. Knockdown of p53 abrogated the in vitro and in vivo biological functions of TRIM11 shRNA in HCC cells. Conclusions: These data show that TRIM11 exerts its oncogenic effect in HCC by downregulating p53 both in vitro and in vivo. Our data provide new insights into the pathogenesis of HCC and indicate that TRIM11 may serve as a new therapeutic target for HCC treatment.

Sustainable economic development is an important force to enhance the comprehensive national strength. It mainly depends on the breakthrough and innovation of science and technology. The new generation of information technology (NGIT) is the most active field in scientific and technological innovation. It is of great significance to deeply consider the relationship between the new generation of information technology and the sustainable development of a regional economy. In this study, 29 provinces and cities in China from 2009 to 2018 were selected and use the feasible generalized least squares (FGLS) method to empirically analyze the impact of the new generation of information technology on the sustainable development of regional economy. Simultaneously, it analyzes the differences between NGIT and economy sustainable development of the regional economy under different institutional environments. According to the research results, there is a positive correlation between new-generation information technology and the sustainable development of a regional economy. There is a positive U-shaped relationship between the penetration depth of NGIT and the sustainable development of a regional economy. Simultaneously, the higher the institutional environment’s level, the stronger the positive relationship between the penetration of NGIT and the sustainable development of a regional economy.

This paper deals with issues concerning green subsidies of government and optimal decisions of a manufacture and dual-channel retailers in a two-echelon dual-channel supply chain. Both a decentralized supply chain and a centralized supply chain are considered. Sufficient and necessary conditions for guaranteeing that the two supply chains run normally under government subsidies are proposed. For the decentralized supply chain, a three-layer model is constructed according to different priorities of the four participants. Both Bertrand game and Stackelberg game are involved. For the centralized supply chain, a two-layer model is given. Decision models of the government under a financial budget are developed for maximizing the green degree of each case. It is shown that the green degree of the product of the centralized supply chain is always higher than that of the decentralized supply chain. Meanwhile, the total profit of the centralized supply is also higher. Finally, a numerical illustration is presented to visualize the discussed models and make some supplements.

Technology convergence has become a typical characteristic of innovation, which affects the evolution of industrial structures and the core competitiveness of organizations. However, the existing research has mainly focused on the development of core areas of convergence, ignoring the potential breakthroughs that emerging peripheral convergence may bring. Therefore, this research put forward a comprehensive methodology based on IPC (International Patent Classification) co-occurrence analysis to study the dynamic patterns of technology convergence from the perspectives of reinforcing convergence and novel convergence. For the former, convergence trends in each period were explored by using association rules, and the convergence degree was measured based on the number of patents containing different IPC codes. Then, the corresponding core technical fields were identified by using information entropy. For the latter, a community detection algorithm based on IPC co-occurrence network was adopted to investigate the convergence trend by period, and important technology fields were identified by the centrality indicators. The methodology proposed in this study is beneficial for firms to seize technological opportunities in technology convergence.

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