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Methods and Materials In the present study, cylindrical specimens of Hadfield steel were used.
Srivastava, K.Das, “Microstructural Characterization of Hadfield Austenitic Manganese Steel”, Materials Sciences, 2008, Vol. 43, pp.5654-5658
Song, “Eutectic Decomposition in Ca-Si Modified Austenitic Medium Mn Steel after Solidification”, Materials Sciences, 2005, Vol. 40, pp. 2081-2084
[12] P.W.Mason and P.S.Prevey, “Iterative Taguchi Analysis: optimizing the austenite content and hardness in 52100 steel”, Journal of Materials Engineering and performance, Vol. 10(1), February 2001,14-21
Tagore, “Experimental investigation on flow-forming of AA6061 alloy-A Taguchi approach”, journal of materials processing technology , 2008(200): 283–287 [14] Adem Cicek, Turgay Kivak, Gurcan Samtas, “Application of Taguchi Method for Surface Roughness and Roundness Error in Drilling of AISI 316 Stainless Steel”,Journal of Mechanical Engineering, 58(2012)3, 165-174.

Journal of Anshan University of Science and Technology, 2004, 04:298-305
Journal of Northwest A & F University(Natural Science Edition), 2012, 08:193-199
Journal of Agro-Environment Science, 2013, 03:622-628
Journal of Agro-Environment Science, 2013, 03:595-600 [6]Zou Tingting.
Journal of Northeast Normal University(Natural Science Edition), 2009,03:30-35.

Management Science, Vol.55(7) (2009), p. 1152-116
Journal of Marketing, Vol.64(2000), p.1–17
Shared savings contracts for indirect materials in supply chains: Channel profits and environmental impacts.
Management Science, Vol.47(7) (2001), p. 881-893
Management Science, Vol.43(3)( 1997) , p.343-356

A Novel Material Testing Method for Signal Classification Jian Xiang1,a 1School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, 310023, China axiangzust@yahoo.cn Keywords: Machine learning; Face detection; Video, Abstract.
We use Independent Component Analysis algorithm to extract the most essential and highly independent features of video materials.
We are going to introduce an unsupervised learning algorithm, that is, Independent Component Analysis algorithm, to extract the most essential and highly independent features of video materials.
[2] J.Proriol, Selection of variables for neural network analysis, Journal of Nuclear Instrument and Methods, 1996, 361:581-585 [3] M.A.Carreira, Z, Lu, Dimensionality Reduction by Unsupervised Regression.Proceedings of CVPR 2008

Project management, feasibility study design, and resource material availability are the internal risk categories most affected.
International Journal of Project Management, 25(6), 601-614
International Journal of Project Management, 32(1), 116- 124
International Journal of Project Management, 25(5), 517-526 [7] Waltman, L., van Eck, N.
Science of Science Policy Handbook [8] Luu, V.T., Kim, S.Y., & Huynh, T.T. (2008).

Besides, it also used branches and peanut shells as comparative materials.
Through using physical and chemical methods to process the daily agricultural and forestry waste [1] which contains cellulose component, a kind of functional polymer materials [2] which has good adsorption properties is made.
Fig.4 The materials removal rate of Cr6+ at 100min Conclusions In the study, corncobs were the main research objects, branches and peanut shells were the control group. 1.0mol/L phosphoric acid solution was used to modify some parts of the material. 1,5-diphenylcarbazide spectrophotometry[4] was used to determine all kinds of the material’s adsorption capacity which showed in Table1.
Table1 Different materials’ adsorptive capacity at 100min and 250min Absorption time (min) 100min 250min Removal rate (%) Before modified After modified Before modified After modified Corncobs 76 96 78 97 Peanut shells 46 44 71 74 Branches 37 39 79 86 Table 1 can see: in three test materials, corncobs had the best adsorption effect.
Journal of Peanut Science, 2009，38（2）: 06～10

This experiment studied on extraction method of cytochrome C using two kinds of materials and two methods.
Aim is to find one of the most economic, most affordable and most efficient method of extraction, making it widely used in scientific research and production. 1.Materials and methods. 1.1.Materials：fresh pork tripe, liver (purchased in the market) 1.2.Methods 1.2.1.
Aim is to find the good experiment method and experimental material.
[5] Guangliang Zhang:Journal of biochemical drugs in China,Vol:15(1994), p.59-61. in Chinese
[7] Ying Zang:Chinese Journal of veterinary medicine,Vol:42(2006),p.61-62 in Chinese

The Formation and Characterization of Poly (p-phenylene benzobisoxazole) Pulps Via Stirred Solutions Rongbiao LIUA, Xinxin LIB, Jun QIANC and Zhewen HAND Laboratory of Specially Functional Polymeric Materials and Related Technology of the Ministry of Education, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai 200237, China aliurongbiao@gmail.com, bxinxinli@gmail.com, cqianjun@ecust.edu.cn, dZhwhan@ecust.edu.cn Correspondence to: Xinxin Li (E-mail:xinxinli@gmail.com) or Zhewen Han(E-mail:Zhwhan@gmail.com) Keywords: Poly (p-phenylene benzobisoxazole) pulp (PBO pulp), induced precipitation, morphology Abstract.
In the future, the deformation behavior of PBO/MSA solution and the PBO pulps used as the reinforcement for composite materials will be further discussed.
Hahn, Journal Industrial Textiles. 30 (2000) 157-163
Kumar, Macromolecular Materials and Engineering. 288 (2003) 823-830
Han, Journal of Applied Polymer Science, 121 (2011) 1734-1739.

Materials and methods 1.1 Materials and chemicals CuSO4·5H2O, NaBH4, FeCl3·6H2O, C2H5OH, NaOH, and HCl were purchased from National Medicines Corporation Ltd. of China.
[2] Chen Y W, Wang J L, Environmental science, 2009. 30(11): 3353- 3357
[7] Huang Y Y, Liu D D, Liu F, Ecology and Environmental Sciences. 2009. (18)1: 83-87
[12] Liu Q Y, Bei Y L, Zhou F, Central European Journal of Chemisrty, 2009. 7(1): 79-82
[14] Li X Q, Zhang W X, Journal of Physical Chemistry C, 2007. 111(19):6939-6946

Texture of wheat bread improved by α-amylase and Glucose Oxidase Jie Zeng1,a, Haiyan Gao1, Lei Jin2, Zhaopei Zhang3, Huirong Zhang3 1 School of Food Science, Henan Institute of Science and Technology, Xinxiang, 453003, China 2.
Materials and methods Materials.
[2] H.Goesaert, L.Slade, H.Levine and J.A.Delcour：Journal of Cereal Science, vol. 50( 2009), p. 345-352
[3] P.A.Caballero, M.Gómez and C.M.Rosell: Journal of Food Engineering, vol. 81(2007), p.42-53 [4] J.
A.Gerrard: Trends in Food Science and Technology, Vol. 13 (2002), p. 389-397