Numerical Study on RC Multilayer Perforation with Application to GA-BP Neural Network Investigation

The finite element model of projectile penetrating multi-layered reinforced concrete target was established via LS-DYNA solver. The penetration model was validated with the test data in terms of residual velocity and deflection angle.  Parametric analyses were carried out through the verified penetration model. Seven influential factors for penetration conditions, including the initial velocity of projectile, initial angle of attack of projectile, initial dip angle of projectile, the first layer thickness of concrete target, the residual layer thickness of concrete target, target distance and the layer number of concrete target, were put emphasis on further analysis. Furthermore, the influence of foregoing factors on residual velocity and deflection angle of projectile were numerically obtained and discussed. Based on genetic algorithm, the BP neural network model was trained by 263 sets of data obtained from the parametric analyses, whereby the prediction models of residual velocity and attitude angle of projectile under different penetration conditions were achieved. The error between the prediction data obtained by this model and the reserved 13 sets of test data is found to be negligible

COMPREHENSIVE UNDERSTANDING THE INHIBITORS AND ENABLERS OF KNOWLEDGE TRANSFER IN ERP ASSIMILATIONS: A MULTI-CASE STUDY

In the enterprise resource planning (ERP) assimilation process, organizations are increasingly concerned about how to ensure employees to have sufficient ERP knowledge effectively. However, limited attention has been directed toward examining knowledge transfer in the assimilation stage systematically. In particular, a significant omission is to understand the key enablers and inhibitors of employees’ learning intention who may receiver knowledge passively in the mandatory setting. We employed a multi-case study method in this exploratory research by interviewing 33 ERP users at all levels in nine big-size firms in China. Results of this analysis suggested that causal ambiguity in new systems, incumbent system habit, and technostress significantly undermined recipients’ learning intentions. Meanwhile, perceived management support, relation embeddedness, and symbolic adoption were key determinants of increased their learning intentions. This study is arguably the first that attempts to look into passive knowledge transfer phenomenon in some depth, and extends prior researches in ERP lifecycle by shedding light on the joint influences of enablers and inhibitors in ERP assimilation context

A Significant Increase of RNAi Efficiency in Human Cells by the CMV Enhancer with a tRNAlys Promoter

RNA interference (RNAi) is the process of mRNA degradation induced by double-stranded RNA in a sequence-specific manner. Different types of promoters, such as U6, H1, tRNA, and CMV, have been used to control the inhibitory effect of RNAi expression vectors. In the present study, we constructed two shRNA expression vectors, respectively, controlled by tRNAlys and CMV enhancer-tRNAlys promoters. Compared to the vectors with tRNAlys or U6 promoter, the vector with a CMV enhancer-tRNAlys promoter silenced pokemon more efficiently on both the mRNA and the protein levels. Meanwhile, the silencing of pokemon inhibited the proliferation of MCF7 cells, but the induction of apoptosis of MCF7 cells was not observed. We conclude that the CMV enhancer-tRNAlys promoter may be a powerful tool in driving intracellular expression of shRNA which can efficiently silence targeted gene