Southeast University

About: Southeast University is a education organization based out in Nanjing, China. It is known for research contribution in the topics: Computer science & MIMO. The organization has 66363 authors who have published 79434 publications receiving 1170576 citations. The organization is also known as: SEU.

Synergistic cytotoxic effect of different sized ZnO nanoparticles and daunorubicin against leukemia cancer cells under UV irradiation.

Abstract: Failure of chemotherapy to the malignant tumor is usually induced by multidrug resistance (MDR). The development of anti-MDR agents for efficient drug delivery is of great importance in cancer therapy. Recent reports have demonstrated that some anticancer drugs could be readily self-assembled on some biocompatible nanomaterials covalently or non-covalently, which could effectively afford the sustained drug delivery for the target cancer cells and reduce the relevant toxicity towards normal cells and tissues. Thus these biocompatible nanomaterials may play an important role in the relevant biological and biomedical system. In this paper, we have explored the cytotoxic effect of anticancer drug daunorubicin on leukemia cancer cells in the absence and presence of different sized ZnO nanoparticles via fluorescence microscopy, UV-Vis absorption spectroscopy, electrochemical analysis as well as MTT assay. Meanwhile, the cytotoxicity suppression of daunorubicin together with different sized ZnO nanoparticles in the absence and presence of UV irradiation on leukemia cancer cells were also investigated using MTT assay. The results indicate that the combination of the different sized ZnO nanoparticles and daunorubicin under UV irradiation could have synergistic cytotoxic effect on leukemia cancer cells, indicating the great potential of ZnO nanoparticles in relevant clinical and biomedical applications.

Consensus in Multi-Agent Systems With Second-Order Dynamics and Sampled Data

Abstract: This paper studies second-order consensus in multi-agent systems with sampled position and velocity data. A distributed linear consensus protocol with second-order dynamics is first designed, where both sampled position and velocity data are utilized. A necessary and sufficient condition based on the sampling period, the coupling gains, and the spectra of the Laplacian matrix, is established for reaching consensus of the system in this setting. It is found that second-order consensus in such a multi-agent system can be achieved by appropriately choosing the sampling period determined by a polynomial with order three. In particular, second-order consensus cannot be reached for a sufficiently large sampling period while it can be reached for a sufficiently small one under some conditions. Then, the coupling gains are carefully designed under the given network structure and the sampling period. Furthermore, the consensus regions are characterized for the spectra of the Laplacian matrix. On the other hand, second-order consensus in delayed undirected networks with sampled position and velocity data is then discussed. A necessary and sufficient condition is also given, by which appropriate sampling period can be chosen to achieve consensus in multi-agent systems. Finally, simulation examples are given to verify and illustrate the theoretical analysis.

Discrete-Time Fast Terminal Sliding Mode Control for Permanent Magnet Linear Motor

Abstract: The main objective of this paper is to solve the position tracking control problem for the permanent magnet linear motor by using the discrete-time fast terminal sliding mode control (SMC) method. Specifically, based on Euler's discretization technique, the approximate discrete-time model is first obtained and analyzed. Then, by introducing a new type of discrete-time fast terminal sliding surface, an improved discrete-time fast SMC method is developed and an equivalent-control-based fast terminal SMC law is subsequently designed. Rigorous analysis is provided to demonstrate that the fast terminal SMC law can offer a higher accuracy than the traditional linear SMC law. Numerical simulations and experimental results are finally performed to demonstrate the effectiveness of the proposed approach and show the advantages of the present discrete-time fast terminal SMC approach over some existing approaches, such as discrete-time linear sliding mode control approach and the PID control method.