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Weng Y.,ZheJiang Textile & Fashion College
Advanced Materials Research | Year: 2011

Chitosan has the function of anti-bacterial, and it can produce natural green anti-bacterial health-care textiles. However, after the finishing process, the fabrics properties are influenced as well. With the experiments, we study the impaction of chitosan on the fabrics properties. The results indicate: the anti-bacterial performance is good after the finishing process, and the shrinkage has been greatly improved. © (2011) Trans Tech Publications, Switzerland.


Chen J.,Zhejiang University | Chen J.,ZheJiang Textile & Fashion College | Wang J.,Zhejiang University | Shang Y.-Z.,Zhejiang University | Lu G.-D.,Zhejiang University
Zhendong yu Chongji/Journal of Vibration and Shock | Year: 2015

Considering the characteristics of shock action on vertical layout linear motor caused by counterweight disturbance, two key fluctuation factors, the balance-force and friction-force were extracted and summed up. Based on the one-dimensional flow theory with isentropic adiabatic feature, a balance-force fluctuation model was put forward. According to the principle of Stribeck, an improved friction-force fluctuation model was also presented. In the light of the fluy equation of permenant magnetic straight linear motor (PMSLM), a dynamic compensator was developed to suppress the counterweight disturbance. Synthetically applying the double PID uncoupling and fuzzy PID self-adaptive parameter adjustment, the spindle control system for vertical layout linear motor was set up. The simulation and experiment results show that the vibration and velocity fluctuation are significantly suppressed. The precision of position and molding is superior to that by the conventional control strategy. ©, 2015, Chinese Vibration Engineering Society. All right reserved.


Zou H.-L.,Jing de Zhen Ceramic Institute | Xiao X.,Jing de Zhen Ceramic Institute | Xiao X.,ZheJiang Textile & Fashion College | Xiao X.,Gordon Life Science Institute
Journal of Membrane Biology | Year: 2015

Given a membrane protein sequence, how can we identify its type, particularly when a query protein may have the multiplex character, i.e., simultaneously exist at two or more different types. However, most of the existing predictors or methods can only be used to deal with the single-type or “singleplex” membrane proteins. Actually, multiple-type or “multiplex” membrane proteins should not be ignored because they usually posses some unique biological functions worthy of our special notice. In this study, three different models were developed, which have the ability to deal with the systems containing both singleplex and multiplex membrane proteins. The overall success rate thus obtained was 0.6440, indicating that the study may become a very useful high-throughput tool in identifying the functional types of membrane proteins. © 2015 Springer Science+Business Media New York


Luo B.J.,ZheJiang Textile & Fashion College
Advanced Materials Research | Year: 2011

The paper proposes a new method to implement 3D simulation for silk fabrics with complicated structure (such as Re-weft texture) based on geometrical model and texture mapping. At First, fitting polynomial curve is used to simulate bending form of the yarn, three-dimensional model of the yarn is generated through the matrix calculation, and computer model of re-weft jacquard silk fabric is put forward by stratification of weft yarn in fabric. Three-dimensional geometric model of re-weft jacquard silk fabric is built based on fabric structure of the Peirce mode and virtual reality modeling language (VRML), light intensity function and illumination model of re-weft fabric are established with Open GL tools hereafter. Also, yarn (in particular deformating filament, colored yarn) images extracted out of actual yarn photographs (in the yarn library), which is scanned by scanners, is applied to yarn models through texture mapping to improve the sense of reality for re-weft jacquard silk fabric. © (2011) Trans Tech Publications.


Xiao X.,Jing de Zhen Ceramic Institute | Xiao X.,ZheJiang Textile & Fashion College | Xiao X.,Gordon Life Science Institute | Zou H.-L.,Jing de Zhen Ceramic Institute | Lin W.-Z.,Jing de Zhen Ceramic Institute
Journal of Membrane Biology | Year: 2015

Predicting membrane protein type is a challenging problem, particularly when the query proteins may simultaneously have two or more different types. Most of the existing methods can only be used to deal with the single-label proteins. Actually, multiple-label proteins should not be ignored because they usually bear some special functions worthy of in-depth studies. By introducing the “multi-labeled learning” and hybridizing evolution information through Grey-PSSM, a novel predictor called iMem-Seq is developed that can be used to deal with the systems containing both single and multiple types of membrane proteins. As a demonstration, the jackknife cross-validation was performed with iMem-Seq on a benchmark dataset of membrane proteins classified into the eight types, where some proteins belong to two or there types, but none has ≥25 % pairwise sequence identity to any other in a same subset. It was demonstrated via the rigorous cross-validations that the new predictor remarkably outperformed all its counterparts. As a user-friendly web-server, iMem-Seq is freely accessible to the public at the website http://www.jci-bioinfo.cn/iMem-Seq. © 2015, Springer Science+Business Media New York.

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