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Table 3 Crystallization rate of the leaching solution As Te Sb Bi Cu Composition of filtrate (g/L) 16.5 1.83 55.08 29.24 4.32 Composition of precipitate (%) 28.69 0.094 0.76 0.75 0.64 Crystallization rate (%) 43.68 1.23 0.47 0.97 5.18 The data shows that more than 43% of arsenic is crystallized in the form of arsenate, with other valuable metals left in the solution.
Table 4 displays the reduction rate of Te.
Table 6 shows the reduction rate of metals.
Table 6 Reduction rate of the solution after hydrolysis (%) As Bi Cu Composition of filtrate (g/L) 0.06 0.2 0.052 Reduction rate (%) 99.23 98.55 97.45 By the effect of iron powder, As, Bi and Cu are totally reduced and enter into reducing slag with reduction rates more than 97%.
Moreover, the solution after reduction can be recycled.

Data shown the x-ray wavelength and intensity and plotted.
The theoretical value of mass per-cent between Zn and O are 80.3% and 19.7% which the result is nearly to the theoretical data [18].
From DVR%, smaller size of nanoparticle showed greatest amount of reduction up to 40% reduction of viscosity.
Smaller size of nanoparticle exhibits a larger reduction of viscosity.
Journal of Chemical & Engineering Data, 2010. 55(3): p. 1389-1397

Using measurements data, carried out during the experiment on real bridge structures, in situ, one can estimate the structural parameters of the bridge.
The obtained results of the updated model are useful in the process of further validation of a simulated damage test data.
The aim is to identifying damage by fitting the numerical model to real data, followed by optimization techniques, [7].
These error functions are given by the discrepancy between the predicted response and the measured NDT data of the FE model.
M., Structural parameter estimation incorporating modal data and boundary conditions, Journal of Structural Engineering. 125 (1999) 1048-1055

Data processing includes: data sorting order, coordinate conversion, data filtering, data compacting, feature extraction and data cutting
(2) Data fusion and mining.
(2)Data processing includes: coordinate conversion, data compacting, data filtering and feature abstraction.
(3)Data fusion and mining.
By integrated use of data mining and data fusion technology, data discovery, identification and utilization can be carried out to support product decision-making.

In the present study, since data from multiple indicators to assess non-precision, non-fully identified data, some indicators there is a direct overlap, it is necessary to adopt appropriate methods of reduction and screening indicators.
This analysis includes the following four steps: (1) Reduction and screening of indicator.
Rough set evaluation method for each dimension reduction targets after the weight calculation, and then calculates the score for each dimension. (3) Integration of the target layer risk evaluation.
each reduction in every dimension.
Table 5 Eigenvectors data table mean 0.648 0.539 0.32 0.122 0.429 0.412 0.230 0.296 0.22 0.320 0.429 0.299 0.122 0.165 0.46 0.558 0.142 0.289 According to data table5, the wrights of, , are 0.412, 0.299, 0.289.

The simulation results showed that the optimized energy distribution was almost up to 90% and the decoupling degree was greatly improved by comparing the initial data, proving the optimized data played a greater effect on engine vibration isolation and further verifying the feasibility of optimization design method.
Table 6 The energy distribution of energy decoupling simulation Name Total Energy (%) X Y Z RXX RYY RZZ RXY RXZ RYZ Stage 1 100 1.31 89.24 7.37 0.13 0.88 1.05 0.00 Stage 2 0.96 4.99 90.10 0.30 3.57 0.08 0 0.05 0.03 Stage 3 95.54 0.57 3.04 0.19 0.32 0.23 0.05 0 0.03 Stage 4 0.04 0.02 0.91 3.85 92.21 1.97 1.01 0 Stage 5 0.02 0.01 0.94 93.55 3.39 1.73 0 0.16 0.18 Stage 6 0.07 0.97 0.26 2.71 0.88 95.13 0.00 Through the analysis of the simulation data, all the frequency data from the system simulation was between the theoretical values: the maximum was about 16Hz and the minimum was about 6Hz.
Through the analysis of the data, the simulation algorithm in this study was proven to be successful.
Second, the vibration frequencies of the suspension system in the original data were compared after software Adams was used for the simulation, suggesting the optimized result could better play an effect on the vibration reduction of the suspension system.
The simulation data showed the optimized distribution after the optimization using energy decoupling was up to 81% at worst and proved the optimization could make the suspension system achieve a more ideal vibration reduction effect.

In this work, the influence of several pre-treatments of the SiC substrate prior to epitaxial growth and different epitaxial growth parameters on the reduction of the BPDs in the SiC epilayers was investigated on 4° off-axis substrates.
The idea is to modify the local growth conditions and the step flow for a stronger reduction of the BPD density during epitaxy.
The substrates 3s, 6s, 10s and 13s were defect selectively etched in molten KOH for comparison of EPD data of substrates and epilayers.
Regarding the influence of C/Si ratio on the BPD reduction, no evident difference is found for C/Si ratios of 0.75, 0.9 and 1.5 in our experiments, whereas Chen and Capano [3] presented a strong dependence of the BPD reduction on the C/Si ratio for 4° off-axis wafers.
The reduction of BPD density in the epitaxial layers is always accompanied by an increase of TED and TSD densities, although the overall EPD does not change too much.

For integrity analysis of the dissimilar metal weld, it is essential to have enough data of material properties and microstructure in database.
However, the published data have not been enough.
In this work, the mechanical behavior of dissimilar metal weld SA508-52M-316L in various environments was investigated to provide basic data, especially those of SA508-52M part which had significant change in microstructure an micro-chemistry profiles [9].
The data of the potential was converted to standard hydrogen electrode (SHE) scale.
When tested at +300 and +400mV(SHE), brittle failure of SCC took place around the SA508-52M interface, causing the significant drop of elongation and reduction in area.

It can not meet the policy of energy saving and emission reduction.
The operation data is shown in Table 1.
The data indicate that the operation value of concentration ratio is from 5.27 to 10.50, meeting the zero liquid discharge of Shouyangshan Power Plant.
The operation data is shown in Table 2.
The data indicate that the operation value of concentration ratio is from 5.56 to 6.68, meeting the zero liquid discharge of Baoshan Power Plant.

Results indicated that the co-remediation led to significantly greater (p < 0.01) reduction in the lead concentration in plants than by singly adding to zeolite.
Results and Discussion The Pb concentration in shoots decreased progressively in all four zeolite doses, irrespective of the data in pot experiment I or pot experiment II.
The difference of data between no humic acid (NHA) and HA was that the lead concentration in grape roots and shoots by HA treatment declined more.
Addition of humic acids resulted in increasing of lead of water-soluble fraction and decreasing of exchangeable fraction, but the major data of content of water-soluble lead was not varying significantly.
Maybe the above could explain why humic acids just caused significant reduction of lead concentration in plants, especially aerial parts at low Pb treatment.