Modelling the Self-similarity in Complex Networks Based on Coulomb's Law

Recently, self-similarity of complex networks have attracted much attention. Fractal dimension of complex network is an open issue. Hub repulsion plays an important role in fractal topologies. This paper models the repulsion among the nodes in the complex networks in calculation of the fractal dimension of the networks. The Coulomb's law is adopted to represent the repulse between two nodes of the network quantitatively. A new method to calculate the fractal dimension of complex networks is proposed. The Sierpinski triangle network and some real complex networks are investigated. The results are illustrated to show that the new model of self-similarity of complex networks is reasonable and efficient.Comment: 25 pages, 11 figure

Lasing oscillation condition and group delay control in gain-assisted plasmon-induced transparency

A gain-assisted plasmonic waveguide with two detuned resonators is investigated in the plasmon-induced transparency window. Phase map is employed to study power transmittance and group delay for varying gain coefficients and frequency detunings of the two resonators. The gain coefficient for lasing oscillation condition is analytically shown to vary quadratically with the frequency detuning. In the amplification regime below the lasing threshold, the spectrum implies not only large group delay, but also high transmittance and narrow linewidth. This is in contrast to those in the loss-compensation regime and the passive case in which there always exists a trade-off between the linewidth and the peak transmittance.Comment: 15 pages, 4 figure

Research Directions and Projects In an Institute of Developmental Psychology in China

We are a team who maintained to focus on 3 fields in people’s mental health recent years: marriage and family research and therapy, mental health of middle and primary school students, and internet addiction in youth. In every field, we focus on both fundamental research and clinical practice. We aim to explore mechanisms using survey, observation and cognitive neuroscience methods (fMRI), and develop prediction and intervention projects based on research, to improve people’s life and policies

Discriminant analysis of exfoliated cells in bladder urothelium cancer

Objective To explore the method of computer discriminant on exfoliated cells in bladder urothelium cancer by Pap stain. Methods The exfoliated cells in 107 urine smears included 386 uroepi-thelium normal exfoliated cells (UNC) , 439 urothelium dysplastic exfoliated cells (UDC) and 500 blad-der urothelial cancer exfoliated cells (UCC). The cells were randomly divided into training group (n = 1077) and identifying group (n = 248) , and the chromatic and geometric shape parameters of cytoplasm and nuclear were tested. The stepwise discriminant analysis was used in cells of the training group to establish a discriminant function and analyze the rate of back substitution discriminant. The function was evaluated by cells of identifying group, and the coincidence rate was analyzed in 107 specimens. Results The back discriminant coincidence rate of cells in training group was 80.8%. The coincidence rate of identifying group and 107 specimens were 80.2% and 92.5% respectively. The discriminant effect was significantly better than function based on chromatics and geometric shape parameters individually (P < 0.05). Conclusions The function combined with chromatics and geometric shape parameters has good discriminant performance in bladder urothelium cancer