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pH Influences on optical absorption of Anthocyanin from Black Rice as Sensitizer for Dye Sensitized Solar Cell TiO2 Nanoparticles Mariya Al Qibtiya1, Eka Cahya Prima1, 2, Brian Yuliarto1, 3, a, Suyatman1,b* 1 Advanced Functional Material Laboratory, Engineering Physics Department, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia 2 International Program on Science Education, Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia, Indonesia 3Research Center for Nanosciences and Nanotechnology, Institut Teknologi Bandung, Indonesia abrian@tf.itb.ac.id, byatman@tf.itb.ac.id Keywords : Anthocyanin, pH influences, natural dye, Dye Sensitized Solar Cell Abstract.
Suendi, Suyatman, Improving photochemical properties of Ipomea pescaprae, Imperata cylindrica (L) Beauv , and Paspalum conjugatum Berg as photosensitizers for dye sensitized solar cells, J of Material Sci: Mat in Elec 25 (2014) 4603–4611
Muliani, Nugraha, Synthesis of nanoporous TiO2 and its potential applicapability for dye-sensitized solar cell using anthocynain black rice, Advances Material Science and Engineering 2010 (2010) 1-6
Forni, Role pH and pigment concentration for natural dye-sensitized solar cells treated with anthocyanin extrats of common fruits, Journal Photochemistry and Photobiology A: Chemistry 316 (2016) 24-30.

The economic benefits mainly include reduced costs, such as labor cost, material cost, manufacturing expenses, etc., and improved incomes, such as return on investment.
Table 1 The Index System of Selecting AMT in Enterprises Goal Level Index of Level One Index of Level Two Index of Level Three The index system of selecting AMT in enterprises (U) Economic benefits (U1) Cost (U11) Material cost (U111) Labor cost (U112) Manufacturing expense(U113) Revenue (U12) Return on investment (U121) Return on sale(U122) Strategic benefits (U2) Quality (U21) Rate of qualified product (U211) Rate of waste product (U212) Rate of reworking (U213) Rate of return product (U214) Efficiency (U22) Productivity (U221) Rate of equipment utilization (U222) Rate of machine breakdown (U223) Degree of human integration (U224) Employee morale (U225) Time (U23) Product development cycle (U231) Delivery time (U232) Flexibility (U24) Design change accommodation (U241) Change in product mix (U242) Market responsiveness (U243) Capacity growth (U244) Routing and scheduling flexibility (U245) Innovativeness (U25) New product variation (U251) Integration degree of new product
R.Meredith, The Strategic Advantages of New Manufacturing Technologies for Small Firms, Strategic Management Journal(1987),Vol. 8, p.249–258 [7] H.Takanaka, Critical Success Factors in Factory Automation, Long Range Planning(1991), Vol. 24(4),p. 45–63 [8] P.
Wiels (eds.), Implementing New Technologies, Oxford: Basil Blackwell(1985) [9] A.Kengpohel, The development of a decision support tool for the selection of advanced technology to achieve rapid product development, International Journal of Production Economics(2001), Vol.69 (2),p. 177-191 [10] Li C.H., Jia Y.H., You Q., Yang J..
An approach to modify the CKS model and its application in the investment evaluation of AMT, Proceedings of 2003 International Conference on Management Science and Engineering, America, August,( 2003) [11] Qin Shou-kang.

Grouting materials is cement and fly ash, sealing by water slurry by cement - water glass serous fluid .
Journal of China coal society, 2002 ( 2) : 41-44
Coal science and technology, 1991 ( 8): 46 ~ 50
Journal of China University of Mining and Technology, 1991, 20 ( 3): 86 ~ 91

It is proposed to consider the investment potential of the city on a basis on the following four private potentials, which are the parts of the investment potential as a cumulative indicator [2]: 1) financial-economic potential (FEP) - reflects the state of the financial resources of the city (budget funds, funds of banks and insurance sectors of the city, funds of different companies), and cumulative result economic activity of the population of the city, and characterizes the human resources and their educational level; 2) innovation potential (InP) characterizes the level of development of science and introduction of achievements of scientific and technical progress; 3) infrastructural potential (InfP) reflects the level of infrastructure availability of the city; 4) savings potential (SP) characterizes the total purchasing power and investment ability of the population of the city or combination of capabilities, characterizing the level of consumption and saving.
*values are calculated by the author according to the materials of the Territorial body of Federal state statistics service of Kursk region Conclusions There is a gradual transition in modern practice of urban planning from planning, which implies simple distribution of the infrastructural objects all over the territory, to the planning of «sustainable cities».
Moshkevich submitted to journal “Promyshlennoe I Grazhdanskoe Stroitelstvo”.
Moshkevich, L.YU Stupishin, submitted to journal “Promyshlennoe I Grazhdanskoe Stroitelstvo”.

Materials and Methods Sample test of infiltration parameter data was in northern area of Shanxi.
Acknowledgements This work was financially supported by the National Science Fund Projects, China ( 40671081).
(in Chinese with English abstract ) [7] Wenyan Xie, Guisheng Fan .Influence of soil structure on infiltration characteristics in field soils [J].Journal of Taiyuan University of Technology,2004,35(5):537－540.
Journal of Northwest Forestry University , 2004,19(1):42－45.( in Chinese with English abstract )

A New Method for Profiling Gear Plunge Shaving Cutter on Gear Shaving Machine YU Tao 1,a, WANG Su-yu 1,b, CHEN Xiu-long1,c , FAN Yun-xiao 1,d 1College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266510, China a yutaosang@163.com, bwsyskd@yahoo.com.cn, ccxldy99@sina.com, dfyunxiao@163.com Keywords: Gear shaving Cutter; Plunge Shaving; CBN dressing gear Abstract.
S.: Journal of Materials Processing Technology, Vol. 59, No.4 (1996), pp. 359-366
P.: Journal of Mechanical Design, Vol. 125, No. 3 (2003), pp. 632-639 [6] Information on http:// www.gleason.com [7] Wu X.

Effects of Transition Metals and Rare Earths on Iron-carbon Micro Electrolysis Degrading Dyeing Effluent Ju-chi KUANG1,a, Xiao-gang CHEN1,b and Min-hua CHEN1,c 1School of Science, Foshan University, Foshan 528000, Guangdong Province, China a kjc2277@163.com, b 76518896@qq.com, c 552150274@qq.com Keywords: iron-carbon micro electrolysis, dyeing effluent, Transition Metal（TM）, rare earth（RE）, zero-valent iron.
Journal of Hazardous Materials, 1-2（2007）, pp. 232-239
Journal of Donghua University (English Edition) , 3（2006）, pp. 114-119

Research On The Requirement Of Impact Toughness For Petroleum Drill Pipe Steel Used In Critical Sour Environment Lihong Han1, a, Feng Hu2, b, Hang Wang1, c, Yaorong Feng1, d, and Helin Li1, e 1Tubular Goods Research Institute of China National Petroleum Corporation, Xi’an, Shaanxi, China 2College of Material Science and Engineering of Xi’an Jiaotong University, Xi’an, Shaanxi, China ahanlihong@cnpc.com.cn, bgabrialhu@gmail.com cwanghang008@cnpc.com.cn,dfengyr@cnpc.com.cn, elihelin@cnpc.com.cn Keywords: impact toughness, drill pipe steel, sour environment, hydrogen sulfide Abstract.
(3) Where KIC is plane strain fracture toughness of material, CVN is the longitudinal absorbed energy of impact sample in 10mm×7.5mm×55mm geometry size, and Y is the yield strength of drill pipe steel.
Ma, Journal of Xi’an Jiaotong University, Vol.32 (1998), p.4 (In Chinese) [8] Zahoor, Journal of pressure vessel technology, Vol.107 (1985), p.203 [9] K.E Szklarz, Fracture toughness criteria for high-strength drill pipe, SPE 19964, (1990) [10] NACE International Standard: TM0177, Laboratory testing of metals for resistance to sulfide stress cracking and stress corrosion cracking in H2S environments, (2005)

Journal of Hazardous Materials 118 (2005) 93-102
Journal of Membrane Science 159 (1999) 253-262. 0 10 20 30 40 50 60 70 P (ESLS) P (SMF) P (CFEF) P (kW h/m3) Jv = 16 m3/d Jv = 8 m3/d Jv = 26 m3 /d A= 1 m 2 A= 1 m 2 A Mem = 90 m2

Materials and methods Data preprocessing Typical sample of good enough and high accuracy is the prerequisite to establish the model using the method of BP neural network.
Journal of Range Management, 1994,47(6):498-5021
International Journal of Remo te Sensing, 1986,7(11):1533-1553
Retrieval of Photosynthetic Pigment Concentration in Festuca arundinacea from Canopy-Scale Reflectance Spectra Using Wavelet Analysis. 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, v4, P1-5