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Fig. 1.
Table 1.
Mean Spatial Value of Slope Soil Type Class Area (Ha) Area that impacted by flood (Ha) Ratio Flat 1.921.004,51 31.792,24 0,0165 Sloping 70.155,23 75,94 0,0011 Rather Step 1.837,65 20,46 0,0111 Step 91,80 1,76 0,0191 Very Step 1,80 0,00 0,0000 Slope’s Mean Spatial Value 0,0479 Table 4.
References [1] Casey, Michael. 2015.
IOP Conference Series: Earth and Environmental Science, 311(1), 012085. https://doi.org/10.1088/1755-1315/311/1/012085 [10] Faisol, Arif., Bachri, Samsul., & Mashudi. 2024.

Table 1 Chemical compositions of the investigated Mg-1.5Zn-0.6Zr-0.2Sc alloy [wt.%].
(1) Grain sizes get significantly refined for the Mg-1.5Zn-0.6Zr-0.2Sc alloy after extrusion.
References [1] Y.F.
R 77 (2014) 1-34
Int. 24 (2014) 479-485

The surface areas of MRF-F127-1-600 and MRF-F127-2-600 are 627 and 561 m2 g-1, respectively, and the pore volume is 0.32 and 0.51 cm3g-1, respectively.
The surface area and pore volume of A-MRF-F127-1-600 increases to 1200 m2 g-1 and 0.32 cm3 g-1, and the A-MRF-F127-2-600 increases to 1101 m2 g-1 and 0.49 cm3 g-1, respectively.
Table 1 Textual properties of the nitrogen-doped carbons Samples Textural properties Nitrogen content [wt%] Hydrogen storage [cm3 g-1] SBET [m2 g-1]a Vp [cm3 g-1]b Pore size [nm]c MRF-F127-1 — — — 28.2 — MRF-F127-1 — — — 33.5 — MRF-F127-1-600 627(545) 0.32(0.21) 1.2/2.8/3.9 8.2 142 MRF-F127-2-600 561(479) 0.28(0.19) 1.2/1.9/3.9 15.5 140 A-MRF-F127-1-600 1200(1076) 0.51(0.41) 1.2/1.9 7.7 185 A-MRF-F127-2-600 1101(991) 0.49(0.38) 1.2/3.9 9.3 182 aValues in parentheses are micropore surface area. bValues in parentheses are micropore volume. cMaxima of the pore size distributions is calculated by the NLDTF model.
The hydrogen uptake capacity of porous carbons is up to 140-185 cm3 g-1 at 77 K and 1 bar.
References [1] A.C.

Robotham 1 , T.
Hyde 1 and E.
The main researchers were Donnell [1], Timoshenko [2], Batdorf [3], Gerard [4] and Bruhn [5].
Figure 6 shows the number of circumferential lobes obtained from the eigenvalue analyses. 0.5 1 3 5 40 60 80 100 0 1 2 3 4 5 6 7 No. of Circumferential Lobes L/D Ratio D/t Ratio 6-7 5-6 4-5 3-4 2-3 1-2 0-1 Figure 6: Eigenvalue prediction of circumferential lobes Riks Analysis Results.
References [1] Donnell, L.H., Stability of thin-walled tubes under torsion, National Advisory Committee for Aeronautics Report No. 479, 1933 [2] Timoshenko, S.P., Theory of Elastic Stability, 1 st Edition, United Engineering Trustees Inc., 1936 [3] Batdorf, S.B., A simplified method of elastic-stability analysis for thin cylindrical shells, National Advisory Committee for Aeronautics Report No. 874, 1947 [3] Gerard, G., Compressive and torsional buckling of thin-wall cylinders in yield region, National Advisory Committee for Aeronautics Technical Note 3726, 1956 [4] Bruhn, E.F., Analysis and design of flight vehicle structures, Jacobs Publishing Inc., pp C8.1-C8.26, 1973 [5] Robotham, W.S., Hyde, T.H., Williams, E.J. & Taylor, J.W., "Elastic-plastic buckling behaviour of shafts in torsion", The Aeronautical Journal, RAeS, Vol. 104, No. 1031, pp 1- 7, January 2000

Fig. 1 shows the basic photolithography operation sequences.
Table 1 Number of lots and wafers in each product type Lot Wafer P1 19 475 P2 67 1675 P3 63 1575 P4 22 550 P5 46 1150 P6 41 1025 P7 53 1325 P8 78 1950 P9 84 2100 P10 6 150 Total 479 11975 Table 2 Number of machines (units) in each module Module # of machines in each module M1 4 M2 5 M3 8 M4 6 M5 5 M6 8 M7 5 M8 8 M9 8 M10 4 Table 3 Scan and processing time of each product P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 Scanning time 2 6 5 8 7 2 5 7 5 4 Processing Time in each module M1 14 2 23 55 42 58 13 11 39 17 M2 38 59 55 25 18 50 14 44 3 24 M3 28 22 10 58 42 27 1 22 2 32 M4 41 21 37 11 21 27 20 13 11 56 M5 57 19 31 8 22 48 44 16 15 43 M6 43 1 17 54 32 9 52 50 54 10 M7 33 1 6 27 41 28 14 33 51 19 M8 5 25 40 24 42 11 24 9 59 23 M9 44 23 14 29 25 53 37 52 28 1 M10 47 9 38 17 24 49 55 9 10 15 Table 4 Flow recipe of each product in photolithography P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 M1 5 1 0 4 0 0 6 4 2 4 M2 3 0 0 0 0 0 8 0 0 2 M3 0 3 4 5 3 2 7 0 0 0 M4 0 0 0 0 4 5 3 1 0 0 M5 1 0 0 1 0 0 4 3 3 0
M6 0 0 2 0 0 0 0 5 4 3 M7 0 0 1 2 2 4 9 2 0 0 M8 6 2 0 0 0 1 2 0 1 0 M9 2 0 3 0 0 3 5 0 0 0 M10 4 4 0 3 1 0 1 0 0 1 Table 5 Recipe change time P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P1 0 9 4 9 9 5 7 4 6 4 P2 1 0 4 7 5 5 7 5 9 1 P3 6 6 0 5 10 8 8 9 9 7 P4 1 7 3 0 2 6 1 4 6 10 P5 7 1 2 9 0 4 1 2 2 1 P6 2 1 2 4 2 0 1 3 8 3 P7 5 7 7 5 2 7 0 6 10 3 P8 10 1 3 8 10 6 10 0 3 4 P9 3 8 5 6 9 8 3 7 0 2 P10 8 4 3 7 2 7 9 1 7 0 As shown in Table 6 and Fig. 3, the ¢RR¢ rule, which is changing the input order of both lots and wafers randomly, could be the most effficient in the total processing time point of view.
References [1].
Wein: Scheduling Semiconductor Wafer Fabrication, IEEE Vol. 1 (1988), p.115 [2].

The phase 2 is the signal phase after phrase 1.
There are two scenarios for bus : 1) If , bus will arrive in phrase 1.
FIGURE. 1 Multi-TSP Algorithm.
TABLE 1.
References [1] Ghods A H, Fu L, Rahimi-Kian A.

Table 1.
The betulin content in the suspension ranged from 0.05 – 1 g L-1.
References [1] J.
Ge, Preparation and characterization of betulin nanoparticles for oral hypoglycemic drug by antisolvent precipitation, Drug Deliv. 21(6) (2014) 467-479
Rec. 17 (2017) 1-34

Fig. 4 FT-IR spectra of MgAl-NTA-LDHs (COOH:NaOH=2:1,3:1) Fig. 3 XRD diffraction patterns of MgAl-NTA- LDHs (COOH:NaOH=2:1,3:1) ¨ indicates peaks due to AlOOH boehmite Structure of MgAl-NTA-LDHs The XRD patterns of MgAl-NTA-LDHs are shown in Fig. 3.
The new developed MgAl-NTA-LDHs exhibits higher and stronger absorption than MgAl-CO3-LDHs and MgAl-NO3-LDHs in the range of 1428-1250 cm-1, especially in the range of 1111-909 cm-1.
References [1] Kumar A P, Depan D, Tomer N S, et al.
Progress in polymer science, 34(2009) 479-515
Structure and Bonding, 119(2006) 1-87

Upon excluding both the damaged and healed zones from the healing configuration a fictitious effective (undamaged) configuration (Fig. 1(e)) is reached which only contains the intact material without the healed zones and has an effective area less than Fig. 1(c) or Fig. 1(d).
Table 1: Input values for the model parameters Stiffness (k) 1000 [MPa] Damage History Exponent (n) 1 Constitutive Thickness (δL) 1 [mm] Damage Force Ratio Exponent (q) 0.5 Threshold Separation (δth) 0.01 [mm] Healing History Exponent (m1) 1 Damage Fluidity (Гd) 0.001[sec-1] Damage History Exponent (m2) 1 Healing Fluidity (ГH) variable Crack Closure Exponent (m3) -1 Effect of Resting Time.
The input values are similar to those in Table 1 but with Гh = 0.001/sec.
References [1] D.
Solomon, "Self-healing polymeric materials: A review of recent developments," Progress in Polymer Science, vol. 33, pp. 479-522, 2008

Chang 1,a , H.K.
Kim 1,b , J.B.
Choi 1,c and Y.J.
References [1] ASME: B&PV Code Sec.
Hong: Proceedings of ASME PV&P Vol.479 (2004), pp. 43-48 [5] J.L.