Yong Zhang

HuaiHai Institute of Technology, Tsin-pu, Jiangsu Sheng, China

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Publications (4)2.99 Total impact

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    ABSTRACT: A novel nanocrystal formulation of hydrophobic drugs has been developed for cancer therapy. The new method, called a three-phase nanoparticle engineering technology (3PNET), includes three phases: phase 1, amorphous precipitate; phase 2, hydrated amorphous aggregate; and phase 3, stabilized nanocrystal. The 3PNET has been applied to two anticancer drugs, paclitaxel (PTX) and camptothecin (CPT), using Pluronic F127 (F127) polymer as a single excipient. The nanocrystals encapsulated over 99% of the drug with a high ratio of drug to excipient. The nanocrystal formulation of PTX did not induce hemolysis at pharmacologically relevant concentrations. Antitumor activity in two tumor models, human lung cancer and murine breast cancer, demonstrated that intravenously injected nanocrystals significantly inhibited the tumor growth. The nanocrystals also showed significant therapeutic effects via oral administration. In addition, the nanocrystals could be further modified for targeted delivery of PTX by conjugating a folate ligand to F127. The new nanomedicine formulations show clear potential for clinical development because of the excellent antitumor activity, low toxicity, and the ease of scale-up manufacture. The formulation method may apply to other hydrophobic drugs.
    Journal of Pharmaceutical Sciences 08/2010; 99(8):3542-51. DOI:10.1002/jps.22112 · 2.59 Impact Factor
  • Mingliang Hou · Yong Zhang · Feng Liu · Jian Zhang · Liyun Su
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    ABSTRACT: In order to overcome the deficiencies of poor adaptive capacity, lack of inspiration and narrow domain knowledge of expert system and fundamentally improve the diagnostic efficiency, an intelligent fault diagnosis expert system for photoelectric tracking devices, based on BP neural network, is put forward. Firstly, in this paper, some key basic concepts and principles of intelligent fault diagnosis technology are proposed. Secondly, according to the difficulty of multiple and coupling fault diagnosis, after making a comparative analysis of the related BP neural network algorithms, such as the quasi-Newton method, the stretch BP method and the conjugate gradient method, a neural network fault diagnosis reasoning method based on the Levenberg-Marquardt is designed, which combined the implementation of the diagnosis expert system. Finally, several interrelated essential implementation issues, such as the architecture of the system and the VR technology based on OpenGL, are also discussed. Practical experiments and applications demonstrate that the proposed approach is effective, robust and universal.
    Proceedings of SPIE - The International Society for Optical Engineering 05/2010; DOI:10.1117/12.865714 · 0.20 Impact Factor
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    Mingliang Hou · Cunhua Li · Yong Zhang · Liyun Su
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    ABSTRACT: In view of the crucial deficiency of the traditional diagnosis approaches for photoelectric tracking devices and the output of more sufficient diagnosis information, in this paper, an virtual fault diagnosis system based on open graphic library(OpenGL) is proposed. Firstly, some interrelated key principles and technology of virtual reality, visualization and intelligent fault diagnosis technology are put forward. Then, the demand analysis and architecture of the system are elaborated. Next, details of interrelated essential implementation issues are also discussed, including the the 3D modeling of the related diagnosis equipments, key development process and design via OpenGL. Practical applications and experiments illuminate that the proposed approach is feasible and effective.
    Proceedings of SPIE - The International Society for Optical Engineering 10/2009; DOI:10.1117/12.834086 · 0.20 Impact Factor
  • Mingliang Hou · CunHua Li · Yong Zhang
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    ABSTRACT: In this paper, a method for texture retrieval based on scale and rotation invariant directional empirical mode decomposition (SRIDEMD) is presented. Different from other filtering based techniques such as wavelet and Gabor decomposition, EMD uses the nonlinear filtering process called 'sifting' which attains its scalead aptivity and obtained intrinsic mode functions (IMFs) which has approximate orthogonality. We extend DEMD which is a fast technique of extending 1D EMD to 2D case by introducing scale and rotation invariance. Features including frequency and envelopes of IMFs are extracted after 2D Hilbert transform. Decomposition in several directions is made for rotation invariance and main direction is used. Scale-invariant features are attained by further processing the results and using fractal dimensions of the residues and IMFs. We validate the effectiveness of this method by experiments for textures from public texture database.
    8th IEEE/ACIS International Conference on Computer and Information Science, IEEE/ACIS ICIS 2009, June 1-3, 2009, Shanghai, China; 01/2009