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Copyright of Mechanical & Electronic Control Engineering is the property of Omniscient Pte. Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Mechanical Strength / Jixie Qiangdu is the property of Zhengzhou Research Institute of Mechanical Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Chinese Journal of Cancer Biotherapy is the property of Editorial Office of Chinese Journal of Cancer Biotherapy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Aesthetic & Plastic Surgery is the property of Chinese Journal of Aesthetic & Plastic Surgery Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Modern Laboratory Medicine is the property of Journal of Modern Laboratory Medicine Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Kunming Medical University / Kunming Yike Daxue Xuebao is the property of Kunming Medical Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Modern Laboratory Medicine is the property of Journal of Modern Laboratory Medicine Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Progress in Modern Biomedicine is the property of Publishing House of Progress in Modern Biomedicine and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective: To establish pc DNA3.1-snail eukaryotic recombinant expression plasmid. Methods: Human Snail gene c DNA was amplified by reverse transcription polymerase chain reaction (RT-PCR). After digested by BamH I, EcoR I and ligation, Snail was inserted into pc DNA3. 1(+) eukaryotic expression vector. The positive colonies were screened and identified by single,double enzyme digest,agarose gel electrophoresis and DNA sequence analysis. pc DNA3. 1-snail plasmid was then transfected into siha cell line with Turbo Fect Transfection Reagent. Western-blot was used to detect the protein expression of snail. Results: The pc DNA3.1-snail recombinant plasmid was verified by enzyme digestion electrophoresis showed the expected fragment. The inserted sequence in pc DNA3.1(+)-snail was the same as the sequence of snail c DNA published in NCBI Gen Bank. Western blot results validated the recombinant plasmid expressed in siha cell line efficiently. Conclusion: The eukaryotic recombinant expression plasmid of pc DNA3.1 (+)-snail was successfully constructed. [ABSTRACT FROM AUTHOR]

In order to effectively solve the shortcomings that particle swarm optimization algorithm is easy to fall into local optimum, on the basis of particle swarm optimization algorithm (PSO). this paper proposed a kind PSO algorithm based on Levy flight (LPSO) via introducing of Levy flight. The improved algorithm updated particle position via Levy flight when particle position was still unable to evolutionary to the better position after several iterations in the iterative process. The improved algorithm increased the activity of change of particle position, and improved the effectiveness of the algorithm. Simulation results show that LPSO algorithm is more effective than the original particle swarm optimization algorithm in solving the global optimal, and its superiority is more prominent in the multi peak function optimization problem. [ABSTRACT FROM AUTHOR]