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Table2 Basic data of technological innovation capability assessment of rural biomass industry [5-7] Index China America France Germen Canada England investment intensity of R & D X1 0.28 0.36 0.12 0.09 0.05 0.15 Proportion of researchers (%)X2 34.25 39.61 37 31.3 14.17 42.3 The proportion of bioenergy(%)X3 1.45 42.13 3.6 9.05 2.45 5.3 Application rate (%)X4 42.03 1.5 6.2 10.09 4.9 2.8 Technology research X5 125 896 12 32 143 203 Support force of security management X6 2 2 1 1 2 1 Hierarchical Clustering of Indicators.

Table I Comparison of Calophyllum Inophyllum and Diesel properties Properties Calophyllum inophyllum Diesel Specific gravity 0.896 0.85 Viscosity (mm2·s−1) 71.98 2.87 Flash point (oC) 221 76 Calorific value (MJ/kg) 39.25 43.3 Density (kg/m3) 896 830 a.

Int. 39 (2006) 888–896.

Table 1 Chemical composition and physical properties of binders Chemical composition (%) Physical Properties - SiO2 Al2O3 Fe2O3 CaO MgO SO3 K2O Ig.loss Density (g/cm3) Cement 21.5 6.5 3.1 62.3 2.9 1.9 0.32 1.3 3.15 Fly-ash 58.2 22.29 7.27 - 1.1 0.3 - 5.2 2.3 Type of fiber Density (g/cm3) Tensile strength (MPa) Elasticity modulus (MPa) Shape ratio (%) Diameter (μm) Length (mm) Nylon 1.15 896 4500 - 12 6 Polypropylene 0.91 325 3400 - 20 6 Table 2 Physical properties of polypropylene and nylon, steel fiber Table 3 Physical properties of an aggregate Types Density (g/cm3) Size (mm) Unit volume weight(kg/m3) Absorption Void Solid volume Fineness modulus (%) Sand 2.61 5 1578 1.04 44 51 2.75 Gravel 2.63 10 1582 0.9 41 47 6.33 Table 4 Mixing properties composition of W/B ratios and materials Specimens W/B (%) FA (%) Air (%) Ny (%) PP (%) S/A (%) Materials (kg/m3) C FA V Sand Gravel Agent (%) Water GC 30 - - - 43 540 - - 713 683 0.9 160 N-1 0 4.6 0.7 43 483 - - 740 675

The formula is as follows: (1) Where ——correlation of subsequence and base sequence 0; ——length of compare sequence The sequences are established based on experimental data: ={566，635，3026，580，86，345，437，311，460} ={528，710，3840，441，127，505，604，356，416} ={1317，2017，2686，896，1544，2510，1472，719，1714} ={3098，2245，4088，1780，3818，5648，3899，3990，3333} ={1094，1345，6866，1021，213，850，1041，667，876} ={2411，3362，9552，1917，1757，3360，2513，1386，2590} ={5509，5613，13640，3697，5575，9008，6412，5376，5923} ={3.62,3.29,3.72,3.21,3.33,2.01,2.02,3.49,4.86} Where, ,, are sum of microcracks length are 10～50µm, 50～100µm, 100～500µm and larger than 500µm separately, , and are sum of length of every sector, is chloride permeability factor, ~ are subsequence, is base sequence.

Ameyama: Advanced Materials Research Vol. 896 (2014), p. 570–573

Tab.3 Linear regression equations and r2 and GF value of the twis samples(y: ΔR/R(%), x:ΔL/L(%)) sample ΔR/R0 VS ΔL/L0 tensile elongation 0-15mm r2 GF ΔR/R0 VS ΔL/L0 tensile elongation 0-6mm r2 GF 6Fs0 y=33.431x-150.65 0.863 33.431 y=14.060x-1.9879 0.979 14.060 6Fs150 y=24.170x-107.64 0.879 24.170 y=10.627x-2.104 0.979 10.627 6Fs300 y=22.665x-91.768 0.889 22.665 y=10.253x+2.502 0.993 10.253 6Fs450 y=20.685x-73.896 0.893 20.685 y=9.757x+12.560 0.981 9.757 12Fs0 y=22.363x-35.350 0.919 22.363 y=19.968x-16.017 0.988 19.968 12Fs150 y=20.209x-6.992 0.974 20.209 y=19.178x+1.468 0.993 19.178 12Fs300 y=20.315x-40.090 0.927 20.315 y=13.920x+6.737 0.991 13.920 12Fs450 y=15.596x-28.032 0.932 15.596 y=11.656x+5.150 0.981 11.656 24Fs0 y=10.049x-6.1345 0.987 10.049 y=11.531x+1.225 0.989 11.531 24Fs150 y=10.004x-14.174 0.990 10.004 y=11.154x-13.736 0.994 11.154 24Fs300 y=9.249x+2.087 0.978 9.249 y=9.965x+3.341 0.963 9.965 24Fs450 y=7.603x-8.861 0.968 7.603 y=7.385x-4.843 0.979 7.385 Repeatability of

Advances in Materials Manufacturing Science and Technology 896 This paper describes case based process decision support software, developed by the authors, for the stamping of auto body panels.

Slížková, Freezing and thawing resistance of aerial lime mortar with metakaolin and a traditional water-repellent admixture, Construction and Building Materials 114 (2016) 896-905

TIME [ min] [°C] [V] 30 60 90 30 6 1081,46 1084,66 1075,86 30 7 1084,46 1100,8 1035,53 30 8 1062,8 1079,26 1079,8 35 6 896,53 1080,06 1078,8 35 7 917,53 1051,13 1086,86 35 8 1080,86 1129,46 1222,33 40 6 823,33 842,67 932,67 40 7 1107,86 1151,33 1298 40 8 954,46 836,66 781,26 AVERAGE 1001,03 1039,56 1065,68 Fig. 3.