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The significance of statistical data was evaluated by applying one-way analysis of variance (IBM SPSS 20) using t-test where value of p less than 0.05 and 0.01 was considered significant. 3.
In fact, solution color was regularly turned reddish dark due to the reduction phenomenon.
The slight decrease and shifting of peak from 1639 to 1540 cm-1 indicated the reduction of Au+3 to Auo.
The data shows that the prohibition of bacterial growth is correlated with the concentration of biosynthesized AuPl. 3.3.1.
B. subtilis E. coli B. subtilis E. coli AuPl 7.62± 0.12 17.24± 0.05 18.24± 0.29 69.96± 0.18 AEPl 17.24± 0.05 34.48± 0.09 68.96± 0.43 103.44± 0.22 Chloramphenicol 2.15± 0.02 4.31± 0.03 8.62± 0.24 62.5± 0.09 The data is represented in a triplicate run with each value expressed as mean ± S.E.

The “—” means that the measured data achieves range extremum and cannot be used when the steel ball encounters the measuring point.
Table 5 Dynamic displacement peak responses of dams Working condition Measuring point d3 (mm) Reduction range (%) Average reduction range (%) Measuring point d6 (mm) Reduction range (%) Average reduction range (%) 3-11 -2.07 42.0 46.7 -1.32 44.7 45.9 B-3-11 -1.20 -0.73 3-12 -2.90 45.9 -1.78 47.2 B-3-12 -1.57 -0.94 3-13 -3.50 45.7 -2.00 45.0 B-3-13 -1.90 -1.10 3-14 -3.91 49.9 -2.23 41.7 B-3-14 -1.96 -1.30 3-15 -5.67 49.9 -2.63 51.0 B-3-15 -2.84 -1.29 Acceleration Responses.
Crack width reduction reached 25%~40%, and the angle of large-scale cracks on the top of the dam becomes narrow, while the span expands.
Its reduction can be up to 69.2%.
The average reduction is about 46%.

However, when the percentage of residue added to the mixture increases to 35%, a large reduction in apparent density is observed.
This sharp reduction is reflected in all the volumetric parameters and may be a result of changes in the granulometry of the mixture at this percentage.
However, the mixtures containing 35% and 40% of residue showed a reduction in stability.
This behavior does not agree with the data obtained for Marshall stability.
The addition of residue to the mixtures studied caused an increase in stability and a reduction in tensile strength.

Especially Fructus phyllanthus wine and the Rosa laevigata michx wine had scavenging effect on •OH as the same as VC and more reduction ability than VC.
If the absorbance was higher, the reduction ability was stronger. 3.
Fig.5 Scavenging activity of five fruit wine on DPPH· 3.2.5 Experimental result on reduction ability Reduction ability is measured by a sample which is a good electron donor for the index.
We applied Figure 6 and Figure 7 in order to make fruit wine reduction ability become clearer.
The order of reduction ability was as follows: Sour plum winereduction ability and polyphenol content had some positive correlation.

Initial data for calculation of elastic strain were: rolling force, strip width, length and diameters of work rolls and back-up rolls of finishing stand 12 of hot rolling mill 1700 of ArcelorMittal Temirtau JSC.
Statistical sampling of measurement results was also considering data from technology parameters measurement for each steel grade and profile dimension.
As per data of calculations there were trends built for dependence of bend deflection on width of rolled strips for steel grade 3sp (killed) (Fig. 1 & 2), where it is visible that after the decreasing of strip width down to 1268mm work roll bend deflection is reducing (as the intra-roll pressure along the rolls contact is reducing) and the compression deformation of contacting rolls is decreasing.
At the rolling of wide strips for roll of design LPHNd-63 the bending value was 0.03mm, for roll of design HiCr – 0.019mm (reduction by 0.011mm – 36.7%), for roll of design AS1180xx – 0.012mm (reduction by 0.007mm – 36.8%).
At the rolling of wide strips for roll of design LPHNd-74 the bending value was 0.025mm, for roll of design ICPD – 0.021mm (reduction by 0.004mm – 16%), for roll of design HVS80 – 0.009mm (reduction by 0.012mm – 56.1%).

Grey model (GM) has advantages of good prediction accuracy with a small number of data used.
The raw data series is assumed to be.
The unified values of the raw data are also presented in Table 1.
Table 1 Energy consumption data from one Chinese airport for the whole year 2010 (raw data and their unified values) Validation of the GM (1, 1) model.
According to the formula in [6], in our sample data meets , which indicates the data could be used for smooth modeling.

Introduction Although technical papers dealing with the properties of concrete subjected to high temperatures are abundant, there are much difference among the data in the literature, on the residual strengths of concrete after sustained elevated temperature exposure, depending on concrete materials, mixture proportion, age and term of exposure, water evaporation, besides the exposure temperatures.
The test data shown in Figure.2 indicated rather a different tendency from those obtained in past literature.
Concrete with high-early strength portland cement and, medium-heat portland cement indicated the minimal point at 50℃ showing 15 to 20% reduction and maximal point at 80℃, showing 5% reduction, while concrete with normal portland showed 15% reduction at 20 and 50℃ and smaller reduction at 80 and 110℃.
Concrete with fly-ash cement and medium-heat portland cement indicated rather smaller strength reduction after exposure to 300℃, while concrete with blast-furnace slag cement indicated greater strength reduction at 300℃.
The contradictory data obtained in this experiment to the data in the series.1 experiment could be due to that the age before elevated temperature exposure or due to the possible change in properties of normal portland cement.

This phase consists on matching two or more different point clouds into one data set in order to have them share the same global coordinate system.
Finally, we present some experimental data with comparisons for analysis and further discussion about the algorithm’s performance.
As stated earlier, the goal is to find the rigid transformation that aligns two 3D data sets (a and b) in a common coordinate system.
It is important to know that the hardware we have used for data acquisition is not a high end professional 3D scanner; therefore the 3D data may not be of the best quality and was not high resolution.
Fisher, "Parallel evolutionary registration of range data," Comput.

A comparison of tested geometries displays that reduction in thickness tends to be uniform in the wall region and small fluctuation noticed near the tool retraction location.
In terms of geometry dimensions and thickness reduction.
Likewise, computer simulation data was investigated, as shown in the figure a, CNC code is run on 6060C milling machine for the Aluminum alloys (AA3003).
After that, computer simulation data is compared throughout the paper.
Influence of tool path on main strains, thickness reduction an forces in single point incremental forming process.

The wind angle and the size of the wind velocity were determined using data from weather stations near soundproof tunnels.
Five years (2005–2009) worth of weather data were analyzed for the areas with planned construction of a soundproof tunnel.
The maximum wind direction and average wind velocity is wind data of the recent five years at the nearby weather stations.
Fig. 1 shows the 5-year weather data from the weather stations.
Gillespie, Optical porosity and wind speed reduction by coniferous windbreaks in southern Ontario.