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Experimental Result Pressure (psi) Strain Rate (/s) Yield Strength (MPa) Strain-Hardening Exponent ( n) Equivalent Plastic Modulus (MPa) 20 2438 896 0.101 3128 30 3306 963 0.085 2180 40 4247 995 0.081 1787 From the results of the measurement, it can be seen that the material is stronger at higher strain rates, i.e. the yield strength of the material increases at higher strain rates.
The yield strength at static condition of 187 MPa increases to 896 MPa at 2438 s-1, 963 MPa at 3306 s-1, and 995 MPa at 4247 s-1.
This material becomes stronger as the strain rate increases, that is, its yield strength of 187.0 MPa at the static condition increases to 896 MPa, 963 MPa, and 995 MPa at strain rates of 2438 s-1, 3306 s-1, and 4247 s-1, respectively.

As shown in Fig. 1, correlation lengths of density inhomogeneity in six models are: model 1 a=b=24m; model 2 a=b=48m; model 3 a=b=300m; model 4 a=8000m, b=48m; model 5 a=800m, b=48m; model 6 a=200m, b=200m 1 2 3 6 5 4 Fig. 1 Six different random density model b a The position of the source is(4096,4096) and 4 receivers were set in position a(4086,896), b( 7296, 4096), c(4096, 7296), d(896, 4096).

Table 2 E and T of the flue-cured tobacco K326 under different irrigation treatments Treatment Root extending period Early vigorous period Late vigorous period Maturity Total T [m3/hm2] Total E [m3/hm2] T E T E T E T E 1 138 164 315 98 205 151 211 175 869 588 2 152 162 312 61 172 170 260 440 896 833 3 130 153 445 179 188 187 457 640 1220 1159 4 267 330 651 417 166 241 452 355 1536 1343 5 301 311 384 186 303 435 662 656 1650 1588 6 208 325 559 454 411 410 583 609 1761 1798 2.2 Water use efficiencies of K326 under different irrigation treatments Water use efficiency of crop is recognized as an important indicator of the evaluation for water-saving agriculture.
Table 3 WUE of the flue-cured tobacco K326 under different irrigation treatments Treatment Yield [kg/hm2] ET [m3/hm2] WUE [kg/m3] E [m3/hm2] Water productivity [kg/m3] 1 2420 1458 1.66 896 2.78 2 2807 1729 1.62 896 3.13 3 2886 2378 1.21 1220 2.37 4 3173 2878 1.10 1536 2.07 5 2307 3241 0.71 1650 1.40 6 2675 3559 0.75 1761 1.52 The comparison of each treatment under different conditions of irrigation in Table 3 shows that ET of treatment 6 is the maximum, followed by treatments 5,4, while treatments 1 is the minimum.

The results illustrate that the PO-S200 has the lowest EA among all push-out samples, with 896 kN.mm, as presented in Table 2.
Specimen ID Dyield (mm) Dmax (mm) Ductility Energy Absorption kN.mm PR-S100 8.02 15.94 1.99 1230 PR-S150 7.60 15.14 1.99 1108 PR-S150 7.70 14.39 1.87 990.0 PO-S100 7.74 14.68 1.89 1033 PO-S150 7.70 14.87 1.93 975.0 PO-S200 7.60 14.32 1.88 896.0 Fig. 4 Comparisons between the tested push-out tested samples with a differently spaced shear-connectors.
§ The PO-S200 has the lowest EA among the all push-out specimens, with 896 kN.mm Acknowledgment The authors would like to thank the University of Baghdad, Iraq for their assistant.

Table 2. 3.3-σ Albedo and IR values for cold case [16] Surface sensitivity Time Period Inclination angle (in deg) 0o to 30o 30o to 60o 60o to 90o Albedo IR (W/m2) Albedo IR (W/m2) Albedo IR (W/m2) Albedo 16 sec 0.06 273 0.06 273 0.06 273 128 sec 0.06 273 0.06 273 0.06 273 896 sec 0.07 265 0.08 262 0.09 264 30 min 0.08 261 0.12 246 0.13 246 90 min 0.11 258 0.16 239 0.16 231 6 hr 0.14 245 0.18 238 0.18 231 24 hr 0.16 240 0.19 233 0.18 231 Earth IR 16 sec 0.40 150 0.40 151 0.40 108 128 sec 0.38 154 0.38 155 0.38 111 896 sec 0.33 173 0.34 163 0.33 148 30 min 0.30 188 0.27 176 0.31 175 90 min 0.25 206 0.30 200 0.26 193 6 hr 0.19 224 0.31 207 0.27 202 24 hr 0.18 230 0.25 210 0.24 205 Both Albedo and IR 16 sec 0.13 225 0.15 213 0.16 212 128 sec 0.13 226 0.15 213 0.16 212 896 sec 0.14 227 0.17 217 0.17 218 30 min 0.14 228 0.18 217 0.18 218 90 min 0.14 228 0.19 218 0.19 218 6 hr 0.16 232 0.19 221 0.20 224 24 hr 0.16 235 0.20 223 0.20 224 It must be noted that the albedo
Lambertonian reflection correction for 3.3-σ Albedo and IR values for cold case [16] Short-Term Albedo Correction Orbit-Average Albedo Correction Position from subsolar point (deg) Correction addition Orbit angle (deg) Correction addition 0 None 0 0.04 20 0.02 20 0.05 40 0.04 40 0.07 50 0.05 50 0.09 60 0.08 60 0.12 70 0.13 70 0.16 80 0.20 80 0.22 90 0.31 90 0.31 Table 4. 3.3-σ Albedo and IR values for hot case [16] Surface sensitivity Time Period Inclination angle (in deg) 0o to 30o 30o to 60o 60o to 90o Albedo IR (W/m2) Albedo IR (W/m2) Albedo IR (W/m2) Albedo 16 sec 0.43 182 0.48 180 0.50 180 128 sec 0.42 181 0.47 180 0.49 184 896 sec 0.37 219 0.36 192 0.35 202 30 min 0.33 219 0.34 205 0.33 204 90 min 0.28 237 0.31 204 0.28 214 6 hr 0.23 248 0.31 212 0.27 218 24 hr 0.22 251 0.28 224 0.24 224 Earth IR 16 sec 0.22 331 0.21 332 0.22 332 128 sec 0.22 326 0.22 331 0.22 331 896 sec 0.22 318 0.22 297 0.20 294 30 min 0.17 297 0.21 282 0.20 284 90 min 0.20 285 0.22
274 0.22 250 6 hr 0.19 269 0.21 249 0.22 221c 24 hr 0.19 262 0.21 245 0.20 217c Both Albedo and IR 16 sec 0.22 331 0.21 332 0.22 332 128 sec 0.22 326 0.22 331 0.22 331 896 sec 0.22 318 0.22 297 0.20 294 30 min 0.17 297 0.21 282 0.20 284 90 min 0.20 285 0.22 274 0.22 250 6 hr 0.19 269 0.21 249 0.22 221c 24 hr 0.19 262 0.21 245 0.20 217c Similar to cold case, the albedo values provided in table 4 require Lambert’s reflection correction (by β angle), as shown in table 5.

., Transactions of the Japan Society of Mechanical Engineers, Part A, 71 (2005), pp. 891-896 [6] H.
Tanabe, et al., Journal of the Society of Materials Science, Japan, 71 (2005), pp.891-896

stretching of conjugated or aromatic ketones[15,17,19] 1593 1596 1593 1593 1595 C=C unsaturated linkages, aromatic rings present in lignin[18,20] 1508 1507 1508 1507 1506 C=C stretching vibration in aromatic structure of lignin[15,21,22] 1462 1461 1464 1464 1456 C–H deformations; asymmetric bending vibration of –CH3 and –CH2– groups from lignin[17-19,22] 1425 1424 1425 1425 1423 CH2 shearing vibrations related to the structure of cellulose;aromatic skeletal bending vibrations[15,18,19] 1372 1372 1372 1371 1373 C–H bending vibrations related to the structure of cellulose and hemicellulose 1327 1326 1326 1324 1328 CH deformation vibration; O–H bending vibrations in phenols (lignin)[15,19] 1237 1231 1237 1235 1242 CO–OR stretching vibration, C–O of guaiacyl unit in lignin[15,19] 1165 1168 1162 1159 1153 Asymmetric bridge stretching vibration of C–O–C group in the structure of cellulose[15,18,19] 1059 1058 1060 1058 1046 Aromatic C–H in plane deformation; symmetrical C–O stretching [19] 892 896
899 896 896 Glucose ring stretching, C1–H deformation; C–H stretching out of plane of aromatic ring[15,18,22] wood samples extracted by hot water(A), by cold water(B), by organic solvent(C), by 1% sodium hydroxide solution(D), original wood(E) FTIR spectra of lignin FTIR spectra of lignin from Artocarpus heterophyllus Lam wood are showed in Fig.2.

[6] Heng Song，Chen Wang，Yin He，ect．”Decision feedback equalizer based on non-singleton fuzzy regular neural networks”．Journal of systems engineering and electronics，2006，17 (4) ：896-900
[9] N Amjady．”Day-ahead price forecasting of electricity markets by a new fuzzy neural network”．IEEE transaction on power systems，2006，21(2)：887-896.

Tab. 3-3 Traffic volume of A.B.C intersections after the implementation of the project 2018 traffic volume of A intersection 2018 traffic volume of B intersection east entrance west entrance south entrance south entrance north entrance west entrance 5083 4263 2089 2880 2370 3042 left straight left straight left left left straight left straight left left 1820 3263 862 3401 493 1596 1832 1048 1274 1096 1108 2034 traffic volume of C intersection east entrance west entrance south entrance north entrance 2532 3292 2578 2660 left straight left left straight left left straight left left straight left 460 1490 582 1381 896 1015 1400 975 203 533 1215 912 Fig. 3-3 2018 traffic volume of A intersection Fig. 3-4 2018 traffic volume of B intersection Fig. 3-5 2018 traffic volume of C intersection Service level evaluation of key signalized intersections Respectively evaluate the service level of three signalized intersections
Tab. 3-8 The traffic volume of C before and after the implementation of project (Vehicles / hour) traffic volume of C intersection before implementationof the project in 2018 traffic volume of C intersection after implementation of the project in 2018 east entrance west entrance east entrance west entrance 2349 3010 2532 3292 left straight right left straight right left straight right left straight right 451 1370 569 1325 854 971 460 1490 582 1381 896 1015 south entrance north entrance south entrance north entrance 2380 2359 2578 2660 left straight right left straight right left straight right left straight right 1294 862 224 510 1028 821 1400 975 203 533 1215 912 Fig. 3-10 Traffic volume of C intersection before implementationof the project in 2018 Fig. 3-11 Traffic volume of C intersection of implementation project in 2018 By comparing the target year service level of C intersection before and after the implementation of project, as shown in Tab. 3-9, the project produced

Table2 Analysis of variance of positive emotional and dimensions of SHRP model ss df m2 F Sig. 1 regression 103.034 5 20.607 26.405 .000 residual .734 94 .008 total 103.767 99 Table3 Analysis of variance between SHRP and innovation behavior model ss df m2 F Sig. 1 regression 100.828 5 20.166 21.160 .000a Residual 0..0.896 . 896 .896 .896 94 .010 total 101.723 101.723 99 Secondly,make innovation behavior as dependent variable,control variable and dimensions of SHRP as independent variables into equation,regression analysis results in Table3 and Table4,in Table3,regression model is significant(F=21.160,P<0.001).FromTable4,standardized coefficient were0.283,P<0.01;0.584,P<0.01;0.149,P<0.01,H1a,H1d,H1e were verified;standardized coefficient of benefits and innovation behavior was-0.316,P>0.05,H1c not established.VIF maximum was 4.594<10,so it is not serious multi-collinearity.