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Introduction CMP processor is the main stream of processor developing field for its capability of fully exploring parallelism on different grain [1].
Ø CPN Tools state space report for： Statistics------------------- State Space Nodes: 576 Arcs: 2064 Status: Full Scc Graph Nodes: 576 Arcs: 2064 Status of model state space being full explains that the AUMCC architecture represented by the CPN model has complete state space, which verifies the completeness of AUMCC architecture; the node number and the arc number listed in Scc Graph are consistent with that listed in State Space, separately as 576 and 2064.
According to the changes in number of tokens, we can clearly trace every instruction.
For the number of marking above is so large that now we choose a small model for the simulating flow.

This search studying an experimental fulfillment on the thermal conductivity, apparent porosity, and Diametrical Strength of porous copper-zinc manufactured by the convert to carbon since firing process and combined with the oxygen cause to CO2 gas that rises up to air and leaves the number of pores. the basic metals are Cu and Zn pure powder metals with a different ratio (10-20-30)% of natural leaves especially palm leaves which is widely found in our natures, Cu fine powder (220 µm) has purity 99.5% as a matrix material to prepared composite material with ratio 80% of material total weight, 500g, Zn fine powder added as 20% from material total weight, the Zn metallic powder has purity 99.5%.
The additives natural that is a grounded palm leaves were cut to small parts then milled by using electrical mortar to get a fine powder which have a grain size (less than 0.75 𝜇m) which result by sieving process and added on to three ratios (10%-20%-30%) of 80%Cu-20%Zn as MMC and with pure composites metals of Cu-Zn composites. mixed manual mortar then pressed at (5 ton) for 15 min by using a hydraulic pressing which called a dry pressing.
During the sintering temperature raised up to 950̊Cfor (2 hr), then (P.L) burned at 950̊C which consist (natural materials like (lignin- cellulose and hemicelluloses) materials that appear due to HPLC test that convert to carbon since firing process and combined with the oxygen cause to CO2 gas that raises up to air and leaves the number of pores.

Currently, a number of researchers are investigating additive manufacturing technologies.
The microstructure of the wear-resistant steel MCH (Fig. 1b) is composed of fine-grained martensite.
In contrast, a significant number of pits and voids were observed on the fracture surfaces of the MCH sample (Fig. 6c and Fig. 6d), which is typical of ductile fracture primarily controlled by the coalescence of microcavities.
The MCH sample, which features a fine-grained martensitic microstructure, achieved the highest hardness of 504.2 HV 1, providing higher ballistic resistance compared to the other samples.

White AlFeSi phase and black microporosity can be seen in Fig.2(a), they mainly distribute at intergrain boundaries and grain boundaries.
%Mg into 1050 alloy, the diffraction peaks of Mg2Al3 are detected (Fig.3(b)), and there is no changes of the intensity and number of detected peaks of Al2O3 and AlFeSi.
%Er into 1050 alloy (Fig.3(c)), the diffraction peaks of ErAl3 are found, at the same time, the intensity and number of detected peaks of Al2O3 and AlFeSi increase.
%MRE into 1050 alloy (Fig.3(d)), the same types of the detected phases are found, but the the intensity and number of detected peaks of Al2O3 and AlFeSi also increase, which is less than those in alloy adding 0.3wt.
The results of microstructural obervations and XRD analysis find that the number of metallic inclusion AlFeSi and non-metallic inclusion Al2O3 increase when adding Er into 1050 alloy, which significantly increases the tendency of hydrogen absorption in 1050 alloy.

The main agricultural industries in the area are grain and fruit production, and animal husbandry.
Table 1 Experimental sites examined in the Nanxiaohegou basin Sample Number Sampling site and land type/dominant vegetation Depth (cm) Sample Number Sampling site and land type/dominant vegetation Depth (cm) 1 Huaguoshan; Hippophae rhamnoides 0~20 28 Farmland; slope 0~20 2 20~60 29 40~60 3 60~100 30 60~100 4 Dongzhuanggou; dry gully 0~20 31 Apple orchard; mesa 0~20 5 20~60 32 20~60 6 60~100 33 60~100 7 Dongzhuanggou; Wasteland 0~20 34 Soybean plantation; mesa 0~20 8 20~60 35 20~40 9 60~100 36 40~60 10 Shibamutai; wet gully 0~20 37 60~100 11 20~60 38 Forest land; Pinus tabluiformis 0~20 12 60~100 39 20~60 13 Shibamutai; ditch mesa 0~20 40 60~100 14 20~40 41 Changqingshan; apricot orchard 0~20 15 40~60 42 20~60 16 60~100 43 60~100 17 Shibamutai; wetland 0~20 44 Alfalfa plantation; shaded slope 0~20 18 20~40 45 20~60 19 40~60 46 60~100 20 21 Changqingshan; oriental arborvitae 0~40 40~100 47 Changqingshan; wasteland 0~20 48 20~60 49 60~100 22 Changqingshan
Table 2 Values taken by the parameters for the three Gardner-type soil-water characteristic curve models Number a b R2 a b R2 B A R2 1 753979 24.1360 0.9623 0.1054 6.9719 0.9841 0.9772 6.9719 0.9841 2 3000000 26.7560 0.9921 0.0571 7.8870 0.9926 1.2434 7.8870 0.9926 3 464479 20.2780 0.9851 0.5051 6.2231 0.9935 0.2966 6.2231 0.9935 4 2000000 29.8260 0.9952 0.0332 7.4236 0.9855 1.4789 7.4236 0.9855 5 1000000 29.3890 0.9941 0.0372 7.2796 0.9901 1.4295 7.2796 0.9901 6 6000000 35.3860 0.9956 0.0059 8.4780 0.9840 2.2291 8.4780 0.9840 7 623436 28.8560 0.9817 0.0453 6.5661 0.9929 1.3439 6.5661 0.9929 8 3000000 33.5640 0.9966 0.0107 7.9646 0.9879 1.9706 7.9646 0.9879 9 2000000 31.9350 0.9968 0.0205 7.3218 0.9888 1.6882 7.3218 0.9888 10 473323 25.1850 0.9548 0.0852 6.5444 0.9872 1.0696 6.5444 0.9872 11 7000000 38.0780 0.9961 0.0025 2.7246 0.9891 2.6021 2.7246 0.9891 12 3000000 32.4690 0.9937
0.9919 43 49031 18.5210 0.9085 0.8474 4.3837 0.9759 0.0719 4.3837 0.9759 44 52291 19.1280 0.8923 0.6027 4.5598 0.9676 0.2199 4.5598 0.9676 45 52621 19.5530 0.9013 0.5797 4.5250 0.9733 0.2368 4.5250 0.9733 46 58649 18.5060 0.9069 0.7357 4.6152 0.9752 0.1333 4.6152 0.9752 47 49981 19.3720 0.8950 0.5949 4.4972 0.9696 0.2256 4.4972 0.9696 48 46900 20.9660 0.9321 0.5986 4.2339 0.9892 0.2229 4.2339 0.9892 49 50382 17.0770 0.8899 1.0093 4.5303 0.9666 -0.0040 4.5303 0.9666 50 61141 19.0880 0.9034 0.6158 4.6704 0.9719 0.2106 4.6704 0.9719 51 34121 19.1320 0.8829 0.7532 4.1033 0.9719 0.1231 4.1033 0.9719 52 20000000 33.4760 0.9928 0.0048 10.0510 0.9946 2.3188 10.0510 0.9946 53 43422 19.6130 0.8924 0.5985 4.3549 0.9699 0.2229 4.3549 0.9699 54 114240 22.4160 0.9459 0.2907 4.1119 0.9893 0.5366 4.1119 0.9893 55 1000000 30.1130 0.9810 0.0259 7.1002 0.9931 1.5867 7.1002 0.9931 Note: Sample numbers

At this time, due to the increase in the crystallization rate of amorphous silicon, the number of nanocrystalline Si particles increases and the micro- nanostructures in the surface morphology of the film are mainly clusters of Si nanoparticles (Fig. 2(c)).
At this time, the size of Si particles and the crystallization rate also gradually decrease from the center to the edge of the laser spot area, the grain size of Zone I is 9.2 nm and the crystallization rate is 43.6 %.
When the laser energy is further increased to 600 mJ/cm2, the intensity of Si (111) in the diffraction peak increases to some extent, indicating the number of Si particles increases.
If we continue to apply 600 mJ/cm2 laser energy on a-Si:Al thin film, the crystallization rate of a-Si:Al thin film can further be enhanced, and the number of Si particles increases obviously, while the size of Si particles does not significantly increase (kept at about 10 nm).
It can be understood that with the increase of femtosecond laser energy, the number of crystal silicon particles in a-Si:Al thin film gradually increases, and the refractive index of the thin film as a whole is gradually close to the poly-crystalline silicon, so that the interference peak is gradually suppressed.

The options for applying protective wear-resistant coatings to the surface of 30HGSN2A steel The number of coating option Powder mixture The coating method The particle size of powders, [µm] The shape of powder particle Spray distance, [mm] 1 2 3 4 5 6 7 8 9 10 11 12 A A A A A A A A A B C C APS APS APS APS HVOF HVOF HVOF HVOF HVOF HVOF HVOF HVOF 45-100 45- 100 45-100 45-100 20-63 15-45 45-100 20-63 20-63 20-45 20-45 15-45 Fragment Fragment Fragment Sphere Fragment Fragment Fragment Sphere Sphere Sphere Fragment Sphere 120-140 80 60 120-140 270-300 270-300 270-300 270-300 230-260 270-300 270-300 270-300 The modes of gas-thermal spraying processes are: when implementing APS, arc voltage 30-35 V, current 400-405 A, flow rate of plasma-forming gas (argon) 30-35 l / min, flow rate of transporting gas (argon) 4.0 l/min, linear rotation speed of the cylindrical sample 10-12 m/min, longitudinal feed of the plasma torch 300 mm/min
The analysis of the results shows that a number of options (1, 5-7, 11) does not allow for the application of coatings.
The quality indicators of protective wear-resistant coatings on the surface of 30HGSN2A steel The number of the coating option The appearance The thickness, [µm] The adhesion strength τsh, [MPa] The microhardness, [MPa] The porosity, [%] 1 The surface uncovered by spraying material - - - - 2 The surface defects were not detected 80-100 80.0 9400-10000 6-8 3 The non-uniformity of coating color 70-80 67.2 8700-9200 9-10 4 The surface defects were not detected 100-110 114 9500-10000 5-8 5 The surface uncovered by spraying material - - - - 6 The surface uncovered by spraying material - - - - 7 The surface uncovered by spraying material - - - - 8 The surface defects were not detected 15- 18 95.5 9700-10500 0.8-1.5 9 The presence of coating detachments 10-16 39.0 6500-7100 4.0-6.3 10 The surface defects were not detected 15-16 110 9300-10000 0.8-1.7 11 The surface uncovered by spraying material 16-19 - - 12 The surface defects were not detected 85.5 11500-12100 1.8 -2.0 2.
Acknowledgments The reported study was funded by RFBR, project number 19-38-90172.
Pawlowski, Finely grained nanometric and submicrometric coatings by thermal spraying: A review, Surface and Coatings Technology. 202 (2008) 4318-4322

Scale name Plane Vertical Variability Flow rate Flow Grain size Scale size 100 50 2 7.07 35355 25 Table 1 Main scales of model Model Making and Installation The model uses the Section Method to make topography, the dam part is made of concrete, the overflow structures is simulated by plexiglass, the beach face and riverbed will be hardened by concrete mortar, each section panel will be fixed by sand, the tail water is designed by plug board tailgate.
Table 2 Control application mode of sluice gate Opening scheme of sluice hole Reservior water level (m) Discharge flow (m3/s) Hole number Gate control application mode Working condition 1 445.0 300 3 2,4,6#gate partially open, 1,3,5 # gate close Working condition 2 445.0 600 5 gate partially open, 1,7 #close Working condition 3 445.0 900 5 3,5# gate fully open,5,4,6# gate partially open,1,7 # close Working condition 4 445.0 1200 5 2,3,5,6# gate fully open,4#gate partially open, 1,7# gate close Working condition 5 445.0 1500 7 2,3,4,5,6# gate fully open, 1,7# gate partially open Working condition 6 445.0 1880 7 1~7# fully open Note: The number in the gate operation mode is from the left bank to right bank of sequentially numbered number Fig.3 Velocity distribution drawings of stilling basin end, apron end and anti-scour trench downstream Upstream Inlet Flow Pattern Test.

It was recently discovered that spherical colloidal clusters have different particle arrangements depending on the preparation conditions, for example, the number of particles inside micelles and the shrinking speed of micelles.
One Mackay structure is shifted upward (red grain).
The surface FCC lattice has a different number of colloidal particle layers depending on the position because of the spherical shape of the clusters: the number of layers is higher in the center of the triangle and smaller near the edge.
Acknowledgment This study was supported by JSPS KAKENHI (Grant Number 22J12152).

When certain (15-30%) deformation conditions occur the most mobile dislocations number is generated.
X-ray investigations of surface layers structure after different deformation (Fig. 3b) showed that integral width of (310)Kα1 diffraction line increased with deformation degree rise up to 10-20% that could be caused by increase of dislocations density including mobile dislocations number.
According to [8] the raise of the deformation up to 17-22% increases the number of mobile (unfixed) dislocations while the further increase decreases their number.
Besides, the contribution to the total mass transfer due to the grain-boundary diffusion need to be considered.