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Study on Initial States of Steel Balls in Mill by Discrete Element Method Ping Zhou1,a , Jinghong Du2,b, Xixiang Duan1 1Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, 650093, P R China 2Faculty of Materials Science and Engineering, Kunming University of Science and Technology, Kunming, 650093, P R China a xkzp@sina.com; b2506990447@qq.com Keywords: DEM; steel balls; initial states; PFC3D Abstract.
[3]H.Y.Yang.H.Yang.The first national technology symposium of grinding medium and wear-resistant materials ,1996, p69
International Journal of Rock Mechanics & Mining Sciences, 46(2009) pp983-999 [7]K.

Applying an improving measurement of cutting force to study machinability of gray cast iron Rui Wu 1, a, Danwen Zhang 1,b , Juan Sun 1,c , Fengzhang Ren 2,d, Yufei Wang 2,e and Lili Xiao 2,f 1 Department of Mechanical and Electrical Engineering, Luoyang Institute of Science and Technology, Luoyang, Henan, China, 471023 2 School of Materials Science and Engineering, Henan University of Science and Technology, Luoyang Henan, China, 471003 awurui_ly@126.com, blylgzdw@sina.com, csj1962@126.com, drenfz@mail.haust.edu.cn, ewangyf@mail.haust.edu.cn, fxiaolili375@163.com Keywords: machinability, cutting force measuring, dynamometer calibration, gray cast iron Abstract.
Acknowledgements This study was supported by the Henan Province Program for Science and Technology Innovation Talents (104100510005 and 2009HASTIT023), by the Henan Province Key Problem Project (092102210012) and by the Luoyang Applied Technology Study and Development Foundation (0901011A).
Study on the cutting character and the materials for cylinder block (master thesis).
Journal of rare earths.

Journal of Fluids and Structures, 1999. 13(7): p. 813-851
Koushan, K., Vortex induced vibrations of free span pipelines, in Ph.D. thesis in Norwegian University of Science and Technology. 2009, Linköping
Journal of Sound and Vibration, 2005. 282(3): p. 575-616
International Journal of Offshore and Polar Engineering, 1995. 5(2)
International Journal of Computers, 2008. 2(1): p. 39-46.

The second part of the analogy has been made available just recently with the introduction of a new concrete material parameter,hygro , and referred to as the coefficient of moisture contraction [1,2].
The material parameters of the patch are taken as:    2 30 / 1.0 1.0 450tan / 400 fTh mm day c KT T mm day c          These analog values represent the actual moisture convective term hfc, a moisture dependent coefficient of diffusivity D(C) and ambient humidity Ce [3].
References [1] Baluch, M.H., Rahman, M.K., Al-Gadhib, A.H. and Raza, A., "Coefficient of Moisture Contraction - A New Concrete Material Parameter", Proceedings of Sustainable Construction Materials, Coventry University, UK, June 2007, pp. 457-460
"Shrinkage-Induced Stresses in Concrete Using a New Concrete Material Parameter", Proceedings of International Conference on Advances in Cement Based Materials and Applications in Civil Infrastructure (ACBM-ACI), Lahore, Pakistan, December, 2007, pp. 411420
Arabian Journal for Science and Engineering.

Then, fine aggregate concrete was applied for pavement materials to cover the parking area in New Mexico and Utah.
Through extensive testing and analysis, preliminary conclusions were drawn, which provide a reference for improving the performance of high-performance eco-permeable concrete.[2] Test Raw materials and performance.
The raw materials used in this test were: Beijing Xingang 42.5 ordinary portland cement, the gravel with particle size of 5~10mm, Zhuozhou river pebbles with particle size of 5~10mm as the coarse aggregate, Langfang river sand as the fine aggregate, naphthalene series superplasticizer as the high efficiency water reducing agent whose water reduction rate is 20%.
References [1] Hongrui Meng, Lihong Chen: Journal of Shanxi University of Technology (Natural Science Edition)Vol. 3 (2010), p. 31-36.
(In Chinese) [2] Peijiang Fu, Yunxing Shi and Tiejun Qu: Concrete Vol. 8 (2009), p. l8-21 (In Chinese) [3] Mingzhen Li, Yunxing Shi and Naiqian Feng: New construction materials(Building Industry Press, China 1998).

Aluminum isopropoxide has already been the important precursor of high-tech materials and functional nanomaterials, and it also has new application in the markets of new luminescent materials and high purity ultrafine Al2O3 powders[2] , etc.
Aluminum isopropoxide is also used as catalyst of the reaction for expoxy compounds polymerize, ester exchange and dehydrating agent, waterproofing agent[3], pharmaceutical raw materials[4], etc.
Experimental Aluminum (Al, 99.996%, from Xinjiang Joinworld), isoproponal (PriOH, AR, from Tianjin Kermel Chemical Reagent) were used as raw materials.
The mixture of the starting materials went through heating, refluxing, evaporating of the dissolvent, and finally aluminum isopropoxide was obtained.
Journal of Rare Earth, 6:20(2002) [3] Shanghai Chemical research and technological achievements, Application technology. (2007)

Introduction Intermetallic matrix composites (IMCs) can be considered to be one of the promising candidate materials for high temperature structural applications due to their high melting point, low density, good environmental stability and excellent oxidation resistance [1].
Moreover, laser cladding can be used to produce small amounts of materials, and it is a powerful tool for the investigation and development of novel alloy systems [4].
Fu: Key Engineering Materials, High-Performance Ceramics IV, (2006) pp.1380-1382 [3] X.Y.
Lett. 22 (2003) pp.369-1372 [4] R.Colaco and R.Vilar: Journal of Laser Applications, Vol. 15(2003) pp. 267-272 [5] T.
West: Materials Science and Technology, Vol. 5(1989), pp. 725-728 [9] J.

Pseudo-capacitor electrode materials typically include two types: metal oxide or hydroxide and conductive polymers [4].
Now, many metal hydroxides or oxides have been used as electrode materials for pseudo-capacitors, such as RuO2 [5], Mn2O3 [6], Ni(OH)2 [7].
Therefore, a firm nanostructure with functional materials, large specific surface areas and excellent stability is benefit to improve the cycle life, power and energy densities of materials for supercapacitors.
For further investigation of the electrochemical diffusion process of the prepared electrode materials, EIS spectras were measured.
[8] M S Balogun, W Qiu and W Wang: Journal of Materials Chemistry A, Vol. 3 (2015) No.4, p.1364–1387

Materials and Methods Earthworms Earthworms of the species Eisenia fetida were purchased from Jiang Liming Earthworm Farm Co., Ltd.
* This work is supported by China National Science Foundation (30760049) and China National Key Sciences and Technology Program for Water solutions (2009ZX07102-004).
Velikodvorskaia, et al, “Evolution of the response to heat shock in genus Drosophila,” Russian Journal of Genetics, vol.38, 2002, pp.925–936
Plytycz, “Thermal shock induced expression of HSP70 and HSP72 proteins in coelomocytes of the earthworm Eisenia fetida,” Central European Journal of Immunology, vol.26, 2001, pp.88–92
Shi etc, “both typical Chlorophenol of mantis brain tissue of fish eggs from stress-induced HSP70 of the Chinese,” Environmental Science, vol.27, 2007, pp.260 – 263

Predicting Protein Subcellular Localization Using the Algorithm of Increment Of Diversity Combined with Weighted K-Nearest Neighbor Zeyue Wu 1, a, Yuehui Chen 2,b 1Department of Information Science and Engineering, University of Jinan, Jinan, 250022, China 2Department of Information Science and Engineering, University of Jinan, Jinan, 250022, China afly1024@126.com, byhchen@ujn.edu.cn Keywords: subcellular localization; feature extraction; increment of diversity;Weighted K-Nearest Neighbor Abstract.
Materials and methods Dataset Two datasets are adopted to validate the availability of our classifier.
Acknowledgment This research was partially supported by the Natural Science Foundation of China (61070130), the Key Project of Natural Science Foundation of Shandong Province (ZR2011FZ003), the Key Subject Research Foundation of Shandong Province and the Shandong Provincial Key Laboratory of Network Based Intelligent Computing.
References [1] Deng, M., Zhang, K., Mehta, S., Chen, T., Sun, F., Prediction of Protein Function Using Protein–protein Interaction Data, Journal of computational biology,2003, pp.947–960
Shi, Prediction of Protein Subcellular Localization Based on Hilbert-Huang Transform,Wuhan university journal of natural sciences,2012, pp.048-054