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Hence, the article selects the relevant data of Japan from 1960 to 2007, use the LMDI model to analyze the energy consumption and its influence factors of three typical period, researches the energy consumption characteristic and discipline in the process of industrialization and post-industrial, hoping to find a way to improve the energy saving and emission reduction in the process of industrialization of our country.
All the basic data are from the World Bank Group web.

Results and discussion In present paper the experimental data is presented on the catalytic activity of catalysts for the process of aromatization of n-paraffins from the zeolite deposit of Shankanay field, which is based on the selective recovery of transition metal ions at low temperatures under the influence of mechanical treatment.Taking into account, that the low temperature recovery is very selective resulting in the formation of surface low-coordinated ions, we can expect interesting catalytic properties in such systems.
Table 1 shows the experimental data on the influence of the degree of dispersion on the acidic properties of zeolite catalysts modified by nickel, copper and zinc.
Apparently, Zn2+ cations are localized mainly within the zeolite channels, forming acid-base pairs of the type Zn2+-O2- [56].Whereas, the preliminary grinding of the zeolite leads to reduction of the possibility of penetration of zinc cations into the zeolite channels, and therefore a smaller number of protons of strong acid OH groups are replaced by Zn2+.

Figure 4 shows the accumulated data on wheel re-profiling by the cause of defects on wheel from June 2006 to December 2008.
Table 1 Mechanical properties of wheel for KTX Steel Grade Rim Tensile Strength (N/㎟) Yield Strength (N/㎟) Reduction of section area(%) Brinell hardness Impact values KU at +20℃ : Aver.
This paper also analyzes nature of defects caused by contacting wheels and rails and provides preliminary data for improving operation function of Korean High-Speed Railways such as reducing maintenance cost.

Apparently, the almost fourfold reduction of the size of coherent-scattering regions D, as seen from the last column of the table 1, influences the Нc growth upon the upsetting.
The results of the TEM analysis are in agreement with the XRD data.
Data on the phase structure, volume fraction, lattice parameters, coherent-scattering region D for tetragonal Р4/mmm (P), I4/mmm (I) and cubic Fm-3m  (fcc) phases and in traditional fct – representation (given in parentheses).

The intput data rate is , and the baseband signal bandwidth can reach .
From the delay curve in fig.4, we can see that the minimum value of fractional delay can reach about 4ps at the 240MHz data rate.
The reduction of resource consumption is obvious.

All the data has been analyzed on the result below.
All the data is plotted on the Graph 4.41.
As a result, tremendous reduction on the flexure strain can be clearly seen.

Then, correct the supposition above by the measured data and compute again.
Finally, make the computed result accorded with the measured data.
The trivial reduction of temperature can just make compressive stress decreased slightly, and cannot initiate tensile stress, so the high cycle thermal fatigue damage in steady running can be ignored.

The data obtain can be used to disseminate by researchers and engineers for further studies and applications.
Aggregated NCC can lead to poor dispersion in NBR matrix and result in reduction in performance.
Pla, State of the art manufacturing and engineering of nanocellulose: a review of available data and industrial applications, J Biomater Nanobiotechnol. 4 (2013), 165-188

In contrast, there was no significant reduction in pyrite dissolution when pyrite-grown cells were used (b).
Proteomic data showed that during the growth with pyrite as energy source, cells of A. ferrooxidansT utilized ROS degradation, redox balance, macromolecule repair mechanisms, metal and oxygen homeostasis as fundamental adaptation strategies to the elevated presence of ROS (data not shown).

Figure 1a shows the relationship between UCS experimental versus predicted values by EC2 model for both train and test data.
It should be stressed that the EC2 model predicted well both train and test data.
As we can see, R2 values are very close to the unit for both train and test data, which means high model accuracy.
Therefore, an important reduction of the costs can be achieved by limiting the number of formulations prepared.
Cortez, Jet grouting deformability modulus prediction using data mining tools, 2nd international conference on transportation geotechnics, (2012) 168-173