The “Competition” for Training Cross Border E-commerce Talents in China on the Background of “Internet Plus”

Under the background of “Internet plus,” more and more traditional industries have been integrated into the Internet through information technology. The international trade (foreign trade) industry has constantly been networked, informalized and electrolyzed. Based on the statistical analysis of the current development trend and market demand for cross-border e-commerce talents, this paper attempts to find out the causes of the current multidisciplinary “competition” for cross-border e-commerce talent training, analyze the advantages and disadvantages of this "competition," and put forward the development strategies of multidisciplinary cross-border e-commerce talent training. This study will be of essential reference and significance for applied universities, colleges and higher vocational colleges to adjust the cross-border e-commerce talent training positioning, orientation and professional layout

Characterizations of bilocality and nn-locality of correlation tensors

In the literature, bilocality and $n$-locality of correlation tensors (CTs) are described by integration local hidden variable models (called C-LHVMs) rather than by summation LHVMs (called D-LHVMs). Obviously, C-LHVMs are easier to be constructed than D-LHVMs, while the later are easier to be used than the former, e.g., in discussing on the topological and geometric properties of the sets of all bilocal and of all $n$-local CTs. In this context, one may ask whether the two descriptions are equivalent. In the present work, we first establish some equivalent characterizations of bilocality of a tripartite CT {\bf{P}}=\Lbrack P(abc|xyz)\Rbrack, implying that the two descriptions of bilocality are equivalent. As applications, we prove that all bilocal CTs with the same size form a compact path-connected set that has many star-convex subsets. Secondly, we introduce and discuss the bilocality of a tripartite probability tensor (PT) {\bf{P}}=\Lbrack P(abc)\Rbrack, including equivalent characterizations and properties of bilocal PTs. Lastly, we obtain corresponding results about $n$-locality of $n+1$-partite CTs {\bf{P}}=\Lbrack P({\bf{a}}b|{\bf{x}}y)\Rbrack and PTs {\bf{P}}=\Lbrack P({\bf{a}}b)\Rbrack, respectively

Construction and Characterization of a Novel Fusion Protein MG7-scFv/SEB against Gastric Cancer

Antibody-targeted superantigen has been developed into a new strategy to treat many malignant tumors. In this study, for specific targeting to gastric cancer cell, superantigen SEB (Staphylococcal Enterotoxin B) was genetically fused to the single-chain variable fragment of gastric carcinoma-associated antibody MG7(MG7-scFv) that recognizes the MG7 antigen frequently expressed in gastric cancer cell. The recombinant MG7-scFv/SEB fusion proteins are expressed in E. coli as inclusion bodies, and the purified MG7-scFv/SEB retains high binding affinity with gastric cancer cell SGC-7901 (positive MG7 antigen expression). When incubated with effector cell—peripheral blood mononuclear cells (PBMCs), MG7-scFv/SEB could effectively inhibit the proliferation and induce apoptosis of SGC-7901. After being treated with MG7-scFv/SEB, PBMCs remarkably increased the production of Th1 cytokines (IFN-gamma, IL-2), and slightly increased the production of Th2 cytokines (IL-4, IL-10) in vitro. It was observed that gastric-tumor-bearing rats administrated with MG7-scFv/SEB showed more inflammatory cell infiltration, more significant tumor inhibition, and longer survival time than those of rats treated with SEB or NS (Normal Saline). The data indicated that MG7-scFv/SEB fusion protein could specifically target gastric cancer cell, enhance the activity of T cells and induce tumor cell apoptosis to exert the antitumor effect on gastric cancer