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Xiuliang Wu,Yanqiang Li,Hao Wu,Fangfang Zhang,Kai Sun 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
In the paper, a new hybrid variable selection algorithm for nonlinear regression multi-layer perceptron (MLP) is proposed. The proposed algorithm applies nonnegative garrote (NNG) to compress the input weights of the MLP. The zero input weights dependent variables will be removed from the initial dataset. Next, a further variable selection is carried out by extremal optimization (EO) algorithm. The new variable selection algorithm integrates powerful global selection ability of NNG and accurate local search ability of EO. Finally, two examples of artificial data sets and an industrial application for a debutanizer column are implemented to demonstrate the performance of the new algorithm. The simulation result demonstrates that the developed algorithm presents d better model performance along with less input variable selected than other state-of-art variable selection methods.
Yao Fenglin,Meng Wenjun,Zhao Jie,Shi Guoshan,Bai Yanqiang,Li Hui,Cui Yaodong 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.6
When the large all-terrain crane operated under ultra-high hoisting height, the stability of boom system became the key factor of the lifting capacity. The installation of eccentric structure and super-lift device could help to improve the stability of boom system. In order to achieve the best effect of growth, it was important to study the relationship between eccentric structure and super-lift device. The eigenvalue buckling analysis and geometric nonlinear buckling analysis were carried out by ANSYS for the combined boom system of 500 t all-terrain crane with tower jib when lifting load, dead weight, offset load, wind load and lifting rope force were considered. And then the influence rule of the combined relationship between the strut length, opening angle, amplitude variation angle of the eccentric structure and the strut length, opening angle, amplitude variation angle of the super-lift device on the overall stability of combined boom system was analyzed to obtain the optimum parameter combination of eccentric structure and super-lift device, which provides reference for engineering practice.
Kou, Geng,Gao, Jie,Wang, Hao,Chen, Huaiwen,Li, Bohua,Zhang, Dapeng,Wang, Shuhui,Hou, Sheng,Qian, Weizhu,Dai, Jianxin,Zhong, Yanqiang,Guo, Yajun Korean Society for Biochemistry and Molecular Biol 2007 Journal of biochemistry and molecular biology Vol.40 No.5
The purpose of this study was to develop paclitaxel-loaded poly(lactide-co-glycolide) (PLGA) nanoparticles coated with cationic SM5-1 single-chain antibody (scFv) containing a polylysine (SMFv-polylys). SM5-1 scFv (SMFv) is derived from SM5-1 monoclonal antibody, which binds to a 230 kDa membrane protein specifically expressed on melanoma, hepatocellular carcinoma and breast cancer cells. SMFv-polylys was expressed in Escherichia coli and purified by cation-exchange chromatography. Purified SMFv-polylys was fixed to paclitaxel-loaded PLGA nanoparticles to form paclitaxel-loaded PLGA nanoparticles coated with SMFv-polylys (Ptx-NP-S). Ptx-NP-S was shown to retain the specific antigen-binding affinity of SMFv-polylys to SM5-1 binding protein-positive Ch-hep-3 cells. Finally, the cytotoxicity of Ptx-NP-S was evaluated by a non-radioactive cell proliferation assay. It was demonstrated that Ptx-NP-S had significantly enhanced in vitro cytotoxicity against Ch-hep-3 cells as compared with non-targeted paclitaxel-loaded PLGA nanoparticles. In conclusion, our results suggest that cationic SMFv-polylys has been successfully generated and may be used as targeted ligand for preparing cancer-targeted nanoparticles.