Quasi multipartite entanglement measure based on quadratic functions

We develop a new entanglement measure by extending Jaeger's Minkowskian norm entanglement measure. This measure can be applied to a much wider class of multipartite mixed states, although still "quasi" in the sense that it is still incapable of dividing precisely the sets of all separable and entangled states. As a quadratic scalar function of the system density matrix, the quasi measure can be easily expressed in terms of the so-called coherence vector of the system density matrix, by which we show the basic properties of the quasi measure including (1) zero-entanglement for all separable states, (2) invariance under local unitary operations, and (3) non-increasing under local POVM (positive operator-valued measure) measurements. These results open up perspectives in further studies of dynamical problems in open systems, especially the dynamic evolution of entanglement, and the entanglement preservation against the environment-induced decoherence effects.Comment: 10pages,1 figur

THE IMPACT OF SOCIAL PSYCHOLOGICAL FACTORS ON THE RELATIONSHIP QUALITY OF FACEBOOK USERS

Armed with the great potential for business value and social networking, social media have generated great interests in academia and practice. Rare studies investigated the impact of social psychological factors on the usage of Facebook and the formation of quality relationship. The objective of this paper is to examine the key social psychological factors to better explain the formation of quality relationship. Our proposed theoretical model combined the theories of social influence, social identity, and social presence to capture the essences of the relationship quality between users and Facebook. We conducted a survey to collect data and empirically test our proposed model. Overall, our findings provide theoretical insights to explain the influence of social psychological factors on the usage of Facebook and quality relationship. These findings also help practitioners to plan marketing strategies in better utilize social network sites

Building quantum neural networks based on swap test

Artificial neural network, consisting of many neurons in different layers, is an important method to simulate humain brain. Usually, one neuron has two operations: one is linear, the other is nonlinear. The linear operation is inner product and the nonlinear operation is represented by an activation function. In this work, we introduce a kind of quantum neuron whose inputs and outputs are quantum states. The inner product and activation operator of the quantum neurons can be realized by quantum circuits. Based on the quantum neuron, we propose a model of quantum neural network in which the weights between neurons are all quantum states. We also construct a quantum circuit to realize this quantum neural network model. A learning algorithm is proposed meanwhile. We show the validity of learning algorithm theoretically and demonstrate the potential of the quantum neural network numerically.Comment: 10 pages, 13 figure

Effect of 3,3′-Biisofraxidin on Apoptosis of Human Gastric Cancer BGC-823 Cells

Purpose: To study the effect of 3,3′-biisofraxidin from Sarcandrae Herba on the proliferation of BGC- 823 cells and the possible mechanisms.Methods: Cell Counting Kit-8 (CCK-8), flow cytometry, Western blot and xenograft assays were used to determine the effects of 3,3′-biisofraxidin on the proliferation, apoptosis, apoptotic proteins and xenograft of BGC-823 cells.Results: 3,3′-Biisofraxidin significantly (p < 0.01) inhibited the proliferation of BGC-823 cells (concentrations: 10 - 40 μM; cell viability: 30.45 - 76.68 % in CCK-8 assay) with half maximal inhibitory concentration (IC50) value of 20.35 μM and induced the apoptosis of BGC-823 cells (concentrations: 10, 20 and 40 μM; apoptotic cells: 11.92, 20.10 and 33.64 % in flow cytometry assay), compared with the control (cell viability: 99.73 %; apoptotic cells: 5.18 %). 3,3′-Biisofraxidin (10, 20 and 40 μM in vitro; 40 mg/kg in vivo) significantly (p < 0.05 or 0.01) down-regulated the expressions of anti-apoptotic proteins (Bcl-2, Bcl-xl and Survivin) and up-regulated the expressions of pro-apoptotic proteins (Smac, caspase-3, caspase-7 and caspase-9), compared with the control. Moreover, the release of cytochrome c from the mitochondria to the cytoplasm was significantly (p < 0.01) promoted in vitro, compared with the control. 3,3′-Biisofraxidin (40 mg/kg) significantly (p < 0.05 or 0.01) inhibited the growth of tumor in xenograft assay, compared with the control.Conclusion: 3,3′-Biisofraxidin significantly induces the apoptosis of BGC-823 cells in vitro and in vivo through the mitochondria-mediated apoptotic pathway, and therefore has a potential to be developed into an anti-gastric cancer drug.Keywords: Sarcandrae Herba, Gastric cancer, 3,3′-Biisofraxidin, Mitochondria-mediated apoptotsis, Cell Counting Kit-8, Xenograf