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Online since: November 2013
Authors: Chong Ling Cheng, Hong Jiang Liu, Xin Xue, Hui Cao, Li Li Liu, Li Yi Shi
The electrolyte employed was 1M solution of LiPF6 in ethylene carbonate and dimethyl carbonate (EC+DMC) (1:1 in volume).
Cell assembly was carried out in an argon-filled glove box ([O2] < 1 ppm, [H2O] < 1 ppm).
Fig. 1.
Reference [1] K.
Power Sources, 205 (2012) 479-482
Online since: February 2011
Authors: Jia Zhang, Guo Liang Wang, Shu Ying Qu, Feng Feng Zhu, Xing Min Hou
The introduced assumptions and conditions 1.
b=1 p0=1 Fig. 4 Subsoil additional stress solution of strip foundation Table 1 Vertical mass of the strip foundation subsoil additional stress(×P0) 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 area (square unit) 20.210 5.262 2.469 1.379 0.933 0. 661 0. 479 0.338 0.224 Table 1 shows the area of 0.1p0, 0.2p0, ... , 0.9p0.
So it is easy to be used in projects. 1.
References [1] GB50040-96Code for design of dynamic machine foundation [S]
Soil Dynamics and Earthquake Engineering, 1983, 2(1): 1-42
Online since: July 2007
Authors: Young Sik Kim, Y.R. Yoo, Jung Gu Kim, H.H. Cho, S.G. Jang, K.Y. Lee, H.Y. Son
Kim1 1.
-600 -300 0 300 600 900 1200 1500-6 -5 -4 -3 log i, A/cm 2 E, mV(SCE) a SFCo1 SFCo2 SFCo3 SFCo4 316L SFCo1 SFCo3 SFCo2 SFCo4 316L 0.0E+00 1.0E+04 2.0E+04 3.0E+04 4.0E+04 5.0E+04 0.E+00 1.E+04 2.E+04 3.E+04 4.E+04 5.E+04 6.E+04 Zr (Real Impedance, Ω) Zi (Imaginary Impedance, Ω) SFCo1 SFCo2 SFCo3 SFCo4 Figure 1.
Conclusions 1.
References 1.
Kim, Materials Science Forum, 475-479, 2295(2005) 8.
Online since: December 2012
Authors: Xin Xu, Jie Song, Yan Ting Hu, Wei Xiang Shi, Xu Zhu
References [1] Robert Fisher.
Acta Neurologica Scandinavica,, 2002, 106 (1) :1-7
Jiangsu Medical Journal, 2011, 37 (4) : 478-479
European Neurology. 1994, 34 (1) :29-32
Physical Review E. 2001, 64 (6) :061907 1-8.
Online since: April 2014
Authors: Jiang Jiang, Xi Chen, Hai Tao Gan
Algorithm 1 Sparsity based KMSE (SPKMSE) Input: Label vector for training examples, kernel matrix, and parameter. 1.
Table 1.
Description of the experimental datasets Dataset #Features #Classes #Training examples #Testing example Breast 10 2 479 204 Diabetes 8 2 538 230 Liver 6 2 242 103 Heart 13 2 189 81 German 24 2 700 300 Table 2.
References [1] K.R.
Asia-Pacific Conference on. vol. 1, pp. 237–240.
Online since: April 2007
Authors: Wan Cheng Zhou, Fa Luo, Dong Mei Zhu, Xiao Kui Liu
The synthesis reaction can be described as xSi+xC+(1-x)Al+(1-x)/2N2=xSiC+(1-x)AlN. (1) Al-N2 is a highly exothermic reaction system (-318kJ/mol)[6].
Conclusions 1.
References [1] J.
Vol. 29, (1996), pp. 1
Forum Vol. 475-479 (2005), pp. 3571.
Online since: August 2013
Authors: Wen He Zhu, Wei Zhang, Yan Li, Jun Jie Xu, Xiao Jing Lu, Shi Jie Lv
All other reagents and solvents used were reagent grade. 2.2 The separation of velvet antler polypeptides At first, 1 kg velvet antler was taken and chopped it into small pieces (about 1 cm3).
Collagen and Chitosan solution were mix up by 9:1.
Fig 1 The SDS-PAGE of collagen Lane 1, 2 Collagen.
References [1].
Biomedical Materials, 2010, 5(1): 015008
Online since: July 2011
Authors: Liang Qin, Hong Wei Yin, Zhi Cai Xiao, Xian Jun Shi
And the simulation proved the efficiency of this method. 1 Introduction The support vector machines is a new machine study method which is based on the theory of statistics, it obeys the cardinal rule to minimize the structure risks and has stronger capability of generalization, it solved many practical problems such as small sample, nonlinear, high dimensions, local minimum point and so on[1].
Expunge the variables and ,along with the Mercer condition,the formula (5) can be written as . (6) Where .Suppose,to solve formula (2), we can get . (7) . (8) From the formula (1) we know ,so the classification funtion (1) can be get from . (9) 3.
Table 1.
References [1].
Guo Zhenkai,Song Zhaoqing,Mao Jianqin.An improved online least squares support vector machines regression algorithm[J].Control and Decision,2009,24(1):145-148
Online since: April 2012
Authors: Min Li Zheng, Zhe Li, Chuan Hai Zhu, Jin Hui Xu
Fig. 1 Experiment site Orthogonal Cutting Parameters.
It is shown in table 1.
References [1] P .
Technol, 2002, 20, pp.475-479
Li: Journal of Heilongjiang Institute of Technology, 2009, 23(1), pp.1-4
Online since: June 2013
Authors: Hong Guo Cai, Chang An Yuan
This technology is divided into: user-based collaborative filtering and resource-based collaborative filtering [1].
Steps: 1).
Because of selecting individual from big to small according to fitness, we get fitness function in the algorithm: f= 1 /E.
Table 1.
Fig. 1.
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