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Guangzhou, China

South China Normal University is a comprehensive university in Guangzhou, capital of Guangdong province, in the People's Republic of China. The university is featured distinctively by both teaching and research, consisting of diverse branches of learning such as philosophy, economics, law, education, literature, history, science, technology, and management. There is also an elementary school in this university. Wikipedia.

A densely packed waveguide array (DPWA) structure for mode division multiplexing on a silicon chip is proposed. The DPWA consists of several narrow waveguides with different widths, which are densely packed with gaps of 100nm. The lateral dimension of the DPWA is comparable to the conventional multimode waveguide used for mode division multiplexing on silicon. An efficient and parallel (de)multiplexing structure is proposed. For a three-mode DPWA with a 15μm-long (de)multiplexing structure, insertion losses of -0.05dB and cross-talks of -20dB are achievable for all the modes in a wide wavelength range. The present DPWA favors a compact direct bending. In a 45μm-radius 90° bend, insertion losses of -0.1dB and cross-talks of -20dB are obtained. The proposed DPWA structure also shows a large fabrication tolerance. © 2015 Optical Society of America. Source

The properties of the phase shift of wave reflected from onedimensional photonic crystals consisting of periodic layers of singlenegative (permittivity- or permeability-negative) materials are demonstrated. As the incident angle increases, the reflection phase shift of TE wave decreases, while that of TM wave increases. The phase shifts of both polarized waves vary smoothly as the frequency changes across the photonic crystal stop band. Consequently, the difference between the phase shift of TE and that of TM wave could remain constant in a rather wide frequency range inside the stop band. These properties are useful to design wave plate or retarder which can be used in wide spectral band. In addition, a broadband photonic crystal quarter-wave plate is proposed. © 2010 Optical Society of America. Source

Shao Z.-G.,South China Normal University
Applied Physics Letters

We construct the complex networks of human heartbeat dynamics and investigate their statistical properties, using the visibility algorithm proposed by Lacasa and co-workers [Proc. Natl. Acad. Sci. U.S.A. 105, 4972 (2008)]. Our results show that the associated networks for the time series of heartbeat interval are always scale-free, high clustering, hierarchy, and assortative mixing. In particular, the assortative coefficient of associated networks could distinguish between healthy subjects and patients with congestive heart failure. © 2010 American Institute of Physics. Source

Zhou F.,South China Normal University

An immunologically modified nanotube system was developed using an immunoadjuvant, glycated chitosan (GC), as surfactant of single-walled carbon nanotube (SWNTs). This SWNT-GC system not only retained both optical properties of SWNTs and immunological functions of GC, but also could enter cells due to the carrier properties of SWNTs. Cellular SWNTs induced thermal destruction of tumor cells when irradiated by a near-infrared laser and, at the same time, cellular GC could serve both as damage associated molecular pattern molecules (DAMPs) and pathogen associated molecular pattern molecules (PAMPs) to enhance the tumor immunogenicity and enhance the uptake and presentation of tumor antigens, leading to special antitumor response. Using this system and a 980 nm laser, we treated tumors, both in vitro and in vivo, and investigated the induced thermal and immunological effects. Laser + SWNT-GC afford a remarkable efficacy in suppressing tumor growth in animal cancer models, in many cases resulting in complete tumor regression and long-term survival. Mice successfully treated by Laser + SWNT-GC could establish resistance to tumor rechallenge. This system forms a multifunctional temporal-spatial continuum, which can synergize photothermal and immunological effects. The Laser + SWNT-GC could represent a promising treatment modality to induce systemic antitumor response through a local intervention, while minimizing the adverse side effects. Copyright © 2011 Elsevier Ltd. All rights reserved. Source

In this study, we present an application of fuzzy support vector machine (FSVM) and image processing techniques for identifying liver tumor, including malignant and benign tumors. The gray level co-occurrence matrix (GLCM) matrices were utilized to evaluate the texture features of the regions of interest (ROI) of sonography in our experiment. Five textural features: energy, contrast, correlation, entropy, and homogeneity were extracted from the liver segmented images and analyzed using the texture average of four directions (0°, 45°, 90°, 135°) and distance, δ=6. The proposed system adopts the FSVM to distinguish between malignant and benign tumor cases more efficiently than support vector machine (SVM). The Gaussian RBF kernel has been used be more suitable for the application of identifying liver tumor from B-Mode ultrasound images than polynomial learning machine kernel and linear network kernel. The values of the parameters gamma (g) and regularization parameter (C) have been selected as 0.29 and 4.31 × 103, respectively. Via testing over 200 test cases by using RBF kernel, an overall accuracy of 97.0% has been received by the proposed FSVM algorithm. FSVM (AZ= 0.984 ±0.014) obtain a better result than SVM (AZ= 0.963 ± 0.017) in recognition. It is demonstrated that the proposed FSVM algorithm and GLCM texture features technique are feasible and excellent in ultrasonography classification of liver tumor. © 2010 Published by Elsevier Ltd. Source

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