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The results of the compressive strength and flexural strength test are shown in Fig.1, where each value is averaged from the results of three individual tests.
Fig. 1.
As also seen from Fig.1, the increased porosity indeed led to some loss of the strength although minor.
References [1] L.
Compos. 479 (2014) 87-93

An extension of this approach is the consideration of pressure dependent friction coefficients, as it is shown in Eq. 1.
Kudo, Effect of Surface Topography of Workpiece on Pressure Dependence of Coefficient of Friction in Sheet Metal Forming, CIRP Annals (1998) 479-482. ].
µp=µ0∙pp0n-1 (1) The formulation of the pressure dependent friction model depends on three different variables.
It is defined in a value range between 0 ≤ n ≤ 1, like in Fig 3.
Table 1 shows the parameter values of the experimental design.

References [1] S.Zhong and H.Yuan.
Tables (refer with: Table 1, Table 2, ...) should be presented as part of the text, but in such a way as to avoid confusion with the text.
Equations (refer with: Eq. 1, Eq. 2, ...) should be indented 5 mm (0.2").
(1) Literature References References are cited in the text just by square brackets [1].
References [1] Dj.M.

After choosing the appropriate K.C. with S.J., transforming it to the K.C. with multi-joint by applying the following methods: (1) Partial shrinkage of a polygonal link of the K.C. with S.J.
Obviously, the number of the rims can be shrunk should be less than the single-joint number of the link, that is, as shrinking a n-polygonal link, the number m of the rims can be shrunk must meet: 1≤m≤n-1, hence, it is just called the partial shrinkage of a polygonal link.
References [1] Jensen P.
ASME Transaction, Journal of Mechanical Design, 2000, 122(4): 479-483
Del Castillo, Enumeration of 1-DOF planetary gear train graphs based on functional constraints, J.

Fig. 1.
Table 1.
References 1.
Svensson: Research report 99:1, ISSN 1404-0018, Jönköping University (1999) 4.
Svensson: Materials Science and Engineering, A 413 - 414, pp. 474 - 479 (2005) Fig. 9.

Fig. 1 shows the experimental setup.
Fig. 1 shows the old (left) as well as the new robot cell (right).
Fig. 1.
References [1] Allwood, J.; Jackson, K.: The Design of an Incremental Forming Machine.
Conference on Sheet Metal SHEMET, 5.-8.4.2005, Nürnberg, pp. 479-486 [3] Douflou, J; Szekeres, A.; Vanherck, P.: Force Measurements for Singel Point Incremental Forming: A Experimental Study.

The constitutive relations are represented by empirical expressions -see [11] Sw = 1 (1 + (αhc)n)m, kw(Sw) = S1/2w [1 − (1 − S1/m w )m]2 , kn(Sw) = (1 − Sw)1/2(1 − S1/m w )2m, (4) where n > 1, m = 1 − 1/n, α > 0 [L−1] are empirical soil parameters, and capillary pressure head hc = pc/(ρwg).
In (5), we replace ∂xhc = ∂hc ∂Sw ∂xSw = fc(Sw)∂xSw, where fc(Sw) := − 1 α(n − 1) 1 (1 − S1/m w )m S1/m w .
Then, we can solve only one PDE in terms of Sw which reads Φ∂tSw = Ks µw ∂x (D(Sw)∂xSw + qtµn kw ρkw + kn + kwkn µkw + kn(1 − ρ)ω2 g (r0 + x)) , (6) where D(Sw) = a(Sw) b(Sw)fc(Sw) with a(Sw) =(1 − Sw)1/2 (1 − S1/m w )2m S1/2w (1 − (1 − S1/m w )m)2 , b(Sw) =(1 − Sw)1/2 (1 − S1/m w )2m + µS1/2w (1 − (1 − S1/m w )m)2
System (12) is completed with discrete versions of the front movement (9) ˙s(t) = − Ksm2 α(n − 1)µn(1/m + 1/2)s(t) d dzLB(z) � � � z=1 (13) where LB(z) is the quadratic polynomial passing through the points (yN−2, S1/m+1/2 N−2 ), (yN−1, S1/m+1/2 N−1 ), (1, 0).
[5] J.Chen, J.W.Hopmans, M.E.Grismer, Prameter estimationof two-fluid capillary pressure-saturation and permeability functions, Advances in Water Resources 22 (1999) 479-493

The first pixel The second pixel The m×nst pixel …… 1 0 1 0 0 1 0 1 … … 0 1 1 1 0 0 0 1 … … 1 1 1 0 0 1 1 0 … … …… R G B R G B R G B 0 1 0 1 1 0 0 1 … … 1 1 1 0 1 1 1 0 … … 1 0 0 0 1 1 1 0 … … …… Algorithm of improved DES Algorithm of improved DES Algorithm of improved DES …… …… Figure 1.
The process shows at the following mathematical expression: Li=Ri-1, Ri=Li-1⊕f(Ki,Ri-1),i=1,2,3,……n
Mathematical expression of decryption: Li= Li-1, Ri =Ri-1⊕f(Ri-1,Kn-i+1) , i=1,2,3,4,…….
Definition of the logistic function: xk+1=u*xk(1-xk)
San Antonio: Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics, 2009, 474-479 [3] Som S.

The pH values were measured after stirring of PCMs with deionized water (ratio 1:2.5) for 1 h and stabilization for 1 h (Multi 3510 IDS, WTW, Germany).
Radiometric analysis All solutions used in the experiments were spiked with 137CsCl (5.406 MBq mL-1; CsCl 20 mg L-1 in 3 g L-1 HCl) solution obtained from the Czech Metrological Institute (Czech Republic).
GW has the lowest SSA (6.69 m2 g-1) and shows high Cs adsorption capacity comparable to PC with highest SSA 221 m2 g-1.
References [1] S.
Wood Sci. 60 (2014) 473-479

Calculations are shown in following Table 1.
Table 1 Gross weight deliveries to the i-th regional centres by postcode for the year 2009, offsetting factory supply in Central Europe (qi ) City Area postcode ∑ qi xi yi xi * ∑ qi yi * ∑ qi Karlovy Vary 35,36 342 468 1,4 13,0 479 455,2 4 452 084,0 Pilsen 30-34 359 913 2,3 11,6 827 799,9 4 174 990,8 Ústí nad Labem 40,41,43 264 811 3,5 14,4 926 838,5 3 813 278,4 Č.
Budějovice 37,39 415 019 4,5 9,4 1 867 585,5 3 901 178,6 Praha 1,2 2 553 118 4,1 2,3 10 467 783,8 5 872 171,4 Liberec 46-47 84 525 5,4 14,8 456 435,0 1 250 970,0 H.
Králové 50,51,54 168 466 7,0 13,2 1 179 262,0 2 223 751,2 Pardubice 53,56 119 448 6,9 12,6 824 191,2 1 505 044,8 Brno 6 375 856 8,6 10,2 3 232 361,6 3 833 731,2 Olomouc 75-79 707 514 9,8 11,5 6 933 637,2 8 136 411,0 Ostrava 70-74 207 152 11,8 12,3 2 444 393,6 2 547 969,6 Jihlava 58,59 87 602 6,7 11,7 586 933,4 1 024 943,4 Sczczecin 7 965 257 4,3 22,6 4 150 605,1 21 814 808,2 Poznán 6 1 057 223 8,7 19,6 9 197 840,1 20 721 570,8 Wroclaw 5 730 781 9,2 16,0 6 723 185,2 11 692 496,0 Bydgoszcz 8 1 017 189 10,5 22,0 10 680 484,5 22 378 158,0 Katowice 4 1 134 506 13,1 13,7 14 862 028,6 15 542 732,2 Lódž 9 950 910 13,5 18,0 12 837 285,0 17 116 380,0 Krakow 30-34 650 610 14,9 13,4 9 694 089,0 8 718 174,0 Olsztyn 1 1 086 692 14,8 24,3 16 083 041,6 26 406 615,6 Warszawa 0 1 998 220 16,1 19,8 32 171 342,0 39 564 756,0 Rzeszow 35-39 266 967 18,8 13,7 5 018 979,6 3 657 447,9 Lublin 2 1 214 477 19,4 2,3 23 560 853,8 2 793 297,1 Bratislava 8,90 224 088 9,8 7,1 2 196 062,4 1 591 024,8 Trenčín 91,92,94,95
References [1] V.