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Fig. 4(a), 4(b), 4(c), and 4(d) showed the X-ray data for Ti-Zr-V NEG films deposited on the Al-extruded, Al-alcohol, CuCrZr-EDM, and CuCrZr-alcohol samples, respectively.
The average grain size of Ti-Zr-V films, calculated from XRD data, is 1.6, 1.7, 1.5, and 2.5 nm for Al-extruded, Al-alcohol, CuCrZr-EDM, and CuCrZr-alcohol samples, respectively.
It means that the reduction of the NEG films occurred after heating above 350 oC for these samples
The thermal reduction of the Ti-Zr-V film on the CuCrZr-EDM was more effective than other samples.
From the XRD data, the average grain sizes were in the range of 1-3 nm for Al alloys and CuCrZr alloys.

Characterizations: X-ray Diffraction (XRD): The data were obtained by the powder method, performed on a Shimadzu diffractometer XRD-6000 X-rays with CuK radiation, operating at a voltage 40 kV, current 30 mA, time per step 0.6 s and the samples scanned from 2θ = 0.5 to 10°.
Table 1 shows the results obtained with the research data related to the interplanar distance, hexagonal lattice parameter and contraction of the mesoporous network.
With the aid of the JCPDS-ICDD library (International Centre for Diffraction Data) the presence of peaks indicating the formation of Co2O3 and Co3O4 species of oxides of mixture in the catalyst Co/SBA-15 was identified.
Temperature Programmed Reduction (TPR) Fig. 4 shows the Reduction Temperature Programmed (RTP) profile of the catalyst 10% Co/SBA-15 after the process of impregnation and calcination.
From the RTP it is possible to verify two distinct regions of reduction, which indicated the presence of reduced cobalt.

In many applications, there is a high requirement about the quality of demodulated signal, and distortion reduction has been the research focus in this field.
After DSBAM the data is stored in double buffers.
Finally, at a frequency of 250 kHz, DMA read data from the double buffers and put it to 12-bit D/A conversion.
Another work mode is to directly download the signal to flash of STM32F303VC, the external signal source can be removed and read data directly from the internal flash.
Yang: Distortion analysis and reduction for the parametric array, Audio Engineering Society Convention 124.

Calculation of the Results Firstly,for logistics population model: We use the population data[10]of 1963-2010 to calibrate the parameters in the model.
Secondly,for logistics energy consumption model: We use energy consumption data[11] from 1963-2010 to calibrate the model parameters.
Next, for GDP Growth Equation: We use the GDP data[10]from 1963-2010 to calculate and in.We utilize the relation thatand to calculate that，.
Firstly,third party verification is needed to ensure the quality of carbon emission data.In the environment of underdeveloped credit system,it is crucial to form a free market of third party verification organizations.
[11]Information on http://data.worldbank.org.cn/indicator

And the digital data is temporarily stored in buffer of FEE and transferred to center control board.
The center control electronics gets spectra data by serial ports and analyze data.
A large amount of data can be stored in the electronics.
Data processing.Detection result will be interfered by the noise of instrument, which will finally influence the resolution.
(2) Actually, the result is much closer to real data [Fig. 3].

PCA plays a vital role in statistical analysis as a dimensional reduction tool.
To do this, current work concentrates on using PCA as dimensional reduction and damage detection tool based on a data set that is processed by means of WT.
Then, the result of applying PCA on both original data and data from wavelet ridge is demonstrated and discussed.
Totally, 40.000 data samples are collected.
data from current status of the structure.

Component Seismic Damage Model for SRHSHPC Joints Shansuo ZHENGa, Bin WANGb, Lei LIc, Wei WANG d and Jinchuan HEe School of Civil Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China azhengshansuo@263.net, b wangbin1853@163.com, clilei1004@163.com, dwangweiwei1881@126.com , ejinchuanhe@sohu.com Keywords: reduction factor, capacity of ultimate deformation, the number of cycle, seismic damage model.
The reduction factor is introduced, the dynamic variation relationship of ultimate deformation with the number of cycles is obtained, and the merits of existing damage model are utilized, finally the seismic damage model, which is suitable for SRHSHPC beam-column joints, is established.
One of the best-known local damage model proposed by Park and Ang based on a lot of experimental data of reinforced concrete beams and columns reported in the U.S. and Japan were used in a systematic regression analysis, it can be expressed as m u y u D dE Q δ β δ δ = + ∫ (1) where, mδ is maximum deformation under earthquake; uδ is ultimate deformation under monotonic loading; yQ is calculated yield strength; dE is incremental absorbed hysteretic energy; β is non-negative parameters.
Based on low-cycle accumulation damage proposed by Miner, the reduction factor R is introduced and can be given by ( ) 1 1 C � i f i R �     = −     ∑ (2) where, f� is the number of complete cycles to fatigue, which can be computed through low-cycle damage model developed by Kunnath et al.[3]; � is the number of half-cycle; C is assumed to be 0.5 to represent the rapid increase in the low-cycle accumulation damage as the number of cycles increases.

Data sensed by the nodes are delivered to the sink through multiple hops.
Except for collecting data directly by visiting each node ergodicly, the mobile sink can move along rendezvous points (s), to which the data is gathered through one hop [2] or multihop [3].
Section III describes the data collect strategy (EEPP) in details.
Mobile sink have to visit these s to collect the data.
Gavalas, “A rendezvous-based approach enabling energy-efficient sensory data collection with mobile sinks

Pedro Calmon, 900, Cidade Universitária, RJ, Brazil leonardouffsilva@gmail.com Keywords: reduction of phosphorus; iron ore; leaching; microwave.
It was observed in the treated sample the occurrence of increased passing percentage in mesh 0.297 mm and 0.210 mm followed by the passing of mass reduction in the qualifying mesh 0,105 mm.
In the iron ore sample with an average particle size of 0.595 mm treated with microwave power, we observed an increase of 6% in the percentage of passing the 0.297 mm mesh followed by 1% reduction in mass of the through- classifying the particles into the mesh of 0.210 mm and a 3% reduction in the through mass fraction of 0.105 mm thereby showing a reduction in the influence of the pretreatment of the particles as a function of the distance between the original particle size and particle size classification mesh.
Ou: Intensifying Gaseous Reduction of High Phosphorus Iron Ore Fines by Microwave Pretreatment State.
Haque Unpublished data.

Based on EBSD data, a post-processing analysis has been performed in order to study the texture of the flowformed parts.
(a) 60% reduction in thickness (b) 64% reduction in thickness Fig. 3: Photographs of the flowformed tubes investigated in this paper.
This angle appears to decrease when the reduction ratio increases.
This fact tends to demonstrate that the higher the reduction ratio, the more flowforming looks like extrusion (elongation along the roller feed direction i.e. axial); on the contrary, the lower the reduction ratio, the more flowforming looks like rolling (elongation along rolling direction i.e. tangential).
The texture of the α phase can be investigated thanks to EBSD data.