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The experimental SAXS data were normalized for the intensity of the incident beam.
Initial processing of the experimental SAXS data was performed using the PRIMUS software [5].
SAXS data of glass nanocomposites with 1% charged CdS heat treated at 650°C (B) and 2% charged CdS heat treated at 580 °C (C) and 650 °C (D).
SAXS data of CdS NPs in THEOS matrix: SAXS experimental intensity (dots) and scattering intensity from ab abito model (red line).
Results of numerical modeling of spatial model of CdS NPs (Fig. 2 top insert) revealed that CdS nanoparticle are not spherical, but are elongated structures, similar to cylinder or ellipsoid in contrast of spherical nanoparticles obtained by reduction in glass matrix.

Table 1 Search prime time each mode occupancy ratio Mode is divided 16x16 16x8 8x16 8x8 8x4 4x8 4x4 Searches Consuming 1 2.35% 2 4.67% 2 4.98% 4 9.55% 8 18.87% 8 19.63% 8 38.98% From the above table it can be seen, 8x8 pixel macro block following the time occupied ratio up to 78.04%, and that the smaller the division of the macro block, while the residual data is encoded will be relatively small, but the need to more coding the motion vector, which is very likely for the entire macro-block coded data to generate an increased possible.
Table 2 Macro block pattern classification Mode Select mode 1 16x16 2 16x16, 16x8, 8x16, 8x8, 8x4, 4x8, 4x4 3 16x16, 16x8, 8x16, 8x8 Optimization of the test results Mode 1 Mode 2 image quality when compared with the more obvious decline, coding rate increase of 11.2%, while 22.4% encoding time reduction; Mode 3 with respect to the mode 2, the encoding bit rate increased 2.2%, while the encoding time is reduced up 7.5 percent.
As can be seen from the analysis of the above data, the mode 2 as compared to mode 1, although there is a great shortening of the time, but the image quality, bit rate increase; pattern 3 with respect to the mode 2, a small change in image quality, a code the rate of increase much, time is also a great degree of shortening.
IEEE Data Compression Conference.

At last the simulation results were compared with experimental data.
The control equations for turbulence model as follows: (1) Where is kinematic viscosity of turbulent,is adding item of turbulent viscosity,is reduction item of turbulent viscosity.is source term of user defined.is the kinetic viscosity of a fluid , is 0.622.
The distribution of velocity field and pressure of the center point obtained.The Table 1 and Table 2 is experimental data.
Table 1 Experimental data of 5D spacing measurement point parameters 3D 4D 5D 6D 7D 8D pressure（pa） 17.0 18.5 18.0 19 20.0 20.5 velocity（m/s） 5.4 5.63 5.60 5.7 5.8 5.85 Table2 Experimental data of 8D spacing measurement point parameters 3D 4D 5D 6D 7D 8D pressure（pa） 8.5 11 13.5 13.8 14.5 15.0 velocity（m/s） 3.85 4.6 4.85 4.87 4.9 4.95 Comparison of Measurement Results and Experimental Results Fig. 3.

Supposed , is respectively data modulated signal and interference correlation demodulated signal, then the short time spectrum and of the th code period data modulated signal and interference correlation demodulated signal are get: (19) (20) It can be seen from above that the short-time spectrum envelope of data modulated signal and interference correlation demodulated signal is decided by both spectrum amplitude of BF and inner product among interference spectrum amplitudes.
Design of TDCS basis function As the amplitude of BF and each interference frequency point obeys [0,] uniform distribution, a inequality is get: (21) Then after band pass filter output, the power ratio between the th code period data modulated signal and channel noise is: (22) where, (23) Then the particular expression of is derived: (24) where , the band with of baseband signal is .
Reduction of peak-to-average power ratio in transform domain communication system[J].

After the normal observation, the data was shown in Table 1.
It could be found Through data analysis that the work percentage of machines and workers were all rather low.
Figure 2 Schematic diagram of layout after improvement The original total route length is 467 meters, the modified total route length is 324.5 meters, the transport distance was shorten for 142.5 meters, the reduction rate was 30.51% .
The data statistics was shown in the following table.
Work sampling result after improvement Item Percentage(%) Machines Working 35.3% Not Working 33.5% Idle 31.2% In Total 100% Workers Working 61.4% Idle 38.6% In Total 100% The above data show that the improvement measures have achieved remarkable results.

The tester included shear plate, plate-push device, and control and data acquisition systems.
The distance and shear force were measured and the dates were recorded by data logger.
Data processing and analysis.
Hence, the shear force was calculated by removing some initial data.
Moreover, travel reduction (slip) and tractive efficiency (TE) can also be obtained based on the traction prediction equation.

Analysis data a)Actual partsb) Modeling in the CAD software Fig.1.
The table-1 shows the flow stress data of AISI-1020, along with different strain rates and strains at the temperature of 1,000℃,Fig.2 shows the cure of theflow stress of AISI-1020 at 1,000℃.
The data for this material for 20℃to 2,500℃ are presented[1].
Flow stress data of AISI-1020, along with different strain rates and strains at 1,000℃ Flow stress Strain rate strain 2 20 200 2000 20000 0 152.11311 186.11111 286.212 394.68989 857.82644 0.001 160.419 200 303.287 415.006 869.272 0.1 235.172 325 456.962 597.851 972.282 0.5 307.259 525 608.57 771.626 1051.45 1 344.759 613.625 688.506 861.255 1087.5 5 450.438 682.192 916.944 1111.59 1176.04 Eq. 1 is the flow stress calculation formula.
Reduction in postforging errors for aerofoil forging using finite element simulation and optimization.Modell Simul Mater SciEng 2006), p.79–93

Based on field data of sediment and water volume in the Lower Yellow River from 1950 to 2000, the sediment-transport water volume and unit sediment-transport water volume in LYR are calculated.
C.,2000); (3) data analyzing method, i.e. analyzing the field data and then calculating sediment-transport water volume by using experimental formula.
The Sediment-Transport Water Volume in the Lower Yellow River Based on the daily field flow and sediment data (discharge, sediment discharge, etc.) of Xiaolangdi, Huayuankou, Gaocun, Aishan and Lijin station from 1995 to 2000, the net water volume of each station in different period has been calculated.
According to flow and sediment field data of lower Yellow River, the annual incoming sand volume was 4.8~6.5 108 t after construction of Xiaolangdi Reservoir (Chen J.G., 1997; Liu J.X, 1996).
L., etc. 1997, Water-sand Variability and Silting reduction in Yellow River, Yellow River publishing company, p. 104 (in Chinese)

These results are in agreement with the data of [23, 24, 27, 46], and they disagree with the authors who indicate much higher dislocation densities (e.g. [26]).
The <110>Nb axis coincides with the drawing direction, in agreement with the above described electron-microscopic data and numerous publications [11, 13, 16, 28, 47, etc.].
However, the Nb grain size distribution in the former seems more uniform and the sizes are somewhat smaller, which is in agreement with the data obtained in [50, 51].
These data are in agreement with refs [8, 9], where it is suggested that this misorientation in the composites of both types is due to the semi-coherent Cu-Nb interfaces.
This suggestion is in agreement with the data by Deng et al. [16], who demonstrated that Nb grains are more curved and distorted at the interfaces than in the bulk.

General Situation and Data Sources General situation.
Data sources.
We could find the corresponding data in the design process of the index system of ecological city in view of available basic index data.
Then we did the data statistics with Excel 2003 software.
Haikou City Ecological Environmental Quality Assessment Firstly, we made the data to be standard.