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In literature, a few data are available concerning the study of nickel upd.
The obtained results are in agreement with the literature data [16] that nickel adsorption requires two platinum atoms for upd on polycrystalline platinum surfaces.
It should be noticed that oxygen reduction peak is shifted to a lower potential, as the oxygen adsorption currents are lower. 0.0 0.5 1.0 1.5 -200 0 d) pH = 7.0 E vs.
These results show that nickel upd followed by adsorption of hydrogen starts after reduction of oxygen species from the platinum surface.
-40 -20 0 20 0.0 0.1 0.2 0.3 0.4 5 10 15 20 a) T / K 274 283 288 293 303 313 Φ (Ni) / kJ mol -1 b) Φ (H) / kJ mol -1 θ (i) Fig. 3 Variation of Φ with surface coverage for: nickel upd (a) and hydrogen upd (b), as a function of temperature (according to Eq. 6 and data from Fig. 2 b) and c)).

The specimens were tested at room temperature on an Instron 30 kN Materials Test System equipped with a data acquisition system.
The output data, including the displacement measured by an extensometer, and tensile load, were analyzed.
The reduction in the strengths of the alloy treated at T6 condition should be at least attributed to the absence of the Mg2Si intermetallic phase, since the dissolution of the Mg2Si phases would cause the strength reduction in A356 cast alloy. 4.
The analyses of fractography indicated that the fractured faces of T6 A356 cast alloy contain deeper dimples with dramatic height variation, which fit the high elongation data.

The reduction of BDV is ranging from 5 % to 43 %.
The detailed data can be referred to in Table 2.
The cumulative Weibull distribution function is given in equation (1) where t is the measured data, α is the scale parameter and β is the shape parameter.
These figures predict higher breakdown voltage at low failures rate (<10%) than experiment data.
The presence of PVP does not have a significant increment of AC breakdown voltage and could cause a reduction in the AC breakdown voltages at a specific concentration of CNT and even degrade the nanofluid performance.

One should not however forget also about existing barriers in the learning organization, among which it is certainly possible to rank: ü authority traps – solving problems in routine way, ü subjective drawing conclusion from own experiences, ü defensive thinking – fear of transpiring that former actions were wrong, ü fear of experimentation, ü lack of time for collecting data and learning on the base of them.
Table.2 Reasons of delay Reason for delays % Invalid evaluation of basic range of the project 29% Problems with the organization of tasks 20% Insufficient availability of key users of the project 17% Data quality 17% Software functionality 4% Source: Authors’ elaboration According to analysts companies deciding to implement the ERP class software are directed above all by desire for implementing improvements, which will be translated into reduction of operating costs or increase of turnovers the company.
However only 7 per cent observes reduction of labor costs.
Although that authors for the purposes of the present article quote only some data from examinations conducted by Panorama Consulting it is hard not to think that problems with the effectiveness of the implementation of systems of the ERP class are in the straight majority connected with improper functioning of the organization, in which that solution is being implemented.

Data collected from the Science Direct.
The LEIS spectra obtained for the Al-Cu alloy part in Fig. 3b show that in the case of the position being close to the interface (x = +1), a capacitive behavior is visible with two time constants in the circuit which can be related to charge transfer during the oxygen reduction reaction and semi-infinite diffusion.
The large capacitive loop registered at low-frequency part was associated with the charge transfer process of the oxygen reduction taking place on the surface of the steel.
The result is an instrument that offers the user the ability to obtain spatially resolved EIS data by the use of a scanning probe, rather than the surface-averaged results obtainable with traditional EIS techniques.
From the review of the newest literature data it results that the LEIS technique is able to provide valuable information relating to local surface effects such as pores in coatings, chemical heterogeneities and under film corrosion.

From a comparison of the S-N data for ECAP-treated samples, it is concluded that a decrease in the purity of the copper are beneficial to longer fatigue lives.
Open symbols in the diagram show rotating bending fatigue data of copper-71 [12] having purity less than DLP; copper-71 contains 99.71 % Cu.
All experimental data of annealed OFC and copper-71 fall into one scatter band, indicating that trace differences in purity have no effect on the fatigue life of annealed copper.
Correspondingly, the surface hardness exhibited an initially moderate drop, which was closely followed by a more severe reduction in the latter half of the fatigue life.
This initial drop in hardness was found to strongly depend on the formation of SBs and the absorption of mobile dislocations at non-equilibrium GBs, while the more severe reduction in hardness may be attributed to the formation of surface protrusions with complex morphological features.

Therefore, a relatively small reduction of r will cause a significant increase of the mass of particles and the reduction of cutting width is negligible by contrast with the cutting depth.
Model assessment In order to determine the constants in the model, a regression analysis of the experimental data obtained in this study has been performed.
Consequently, the model of aspect ratio can give adequate predictions both qualitatively and quantitatively, and can be used for predicting and controlling of the aspect ratio in process planning. 0.3 0.45 0.6 0.750.4 0.6 0.8 Air pressure (MPa) Aspect ratio Experimental Predicted u =0.1mm /s α =90° m a =0.0025g /s 0 0.05 0.1 0.15 0.2 0.0025 0.0058 0.0092 Abrasive flow rate (g /s) Aspect ratio Experimental Predicted P=0.6MPa u =0.3mm /s α =30° 0 0.2 0.4 0.6 0.8 0.10 0.17 0.23 0.30 Nozzle traverse speed (mm /s) Aspect ratio Experimental Predicted P=0.6MPa α =90° m a =0.0025g /s 0.03 0.08 0.13 0.18 0.23 30 60 90 Jet incidence angle ( ° ) Aspect ratio Experimental Predicted P=0.6MPa m a =0.0025g /s u =0.3mm /s Fig. 2 Comparisons between model predictions and experimental data Summary An experimental investigation of the aspect ratio in MAAJ cutting of monocrystalline silicon has been carried out and reported.
The results of this paper may be meaningful to predict and control the aspect ratio more efficiently. 0 10 20 30 40 50 -30 -15 0 15 30 45 Percentage deviation (%) Frequency (%) Mean=1.32% Fig. 3 Percentage deviations of the model predictions from the experimental data Acknowledgements This project is supported by Outstanding Young Scholar Science Foundation of NSFC-International Collaborative Research Foundation (No.50328505), Australia Research Council Discovery Foundation（DP0342641）and Ph.D.

In CHINA, a developed dynamic test conducted at a 10:1 scale shrinkage ratio prototype of Qingdao Subway Track Vibration Reduction Structure.
The reduction of structural vibration by the application of surface damping treatments is a standard practice in many industries.
It is useful to express the frequency dependence of the DMA data as a strain rate dependence.
From the DMA data, the peak value of tan d with the peak temperature and the tan d value at different temperature of each viscoelastic damping layer were summarized as follow: polyurea viscoelastic damping material has wide damping temperature range from -10°C to 80°C, which the damping loss factor (tan d) is all above 0.4 in this range.
Conclusion In this work, a new new type of high damping and strong frequency-dependent viscoelastic materials from vibration test data has been presented.

Introduction Recently, tube hydroforming method has been utilized to replace traditional method to manufacture automobile components owing to its advantages, such as weight reduction, safety improvement, cost reduction and dimension accuracy[1].
To conclude, the presented simulation predictions are in fair agreement with the experimental data.
According to the data in Table 3, the regression coefficients can be calculated, and the following equations are obtained: 0.4431 0.0798 0.0085 0.0941 0.0717 1 2 3 4 a / t = + x x + x x − − , (6) 0.3028 0.2555 0.0146 0.0223 0.0231 1 2 3 4 b / t = x + x + x + x − , (7) 0.0791 0.2028 0.0128 0.0126 0.0377 1 2 3 4 Y = x + x x + x − −
From the data above, it is concluded that these three first-order regression models are acceptable.

Establishing industrial system and people's life mode of low carbon emission is China's fundamental response for emission reduction targets in the year 2020.
The sooner started, the greater reduction of GDP [3].
Battery, Elect Biomass Candles, Batteries Diesel, Electricity Electricity, Battery Oil Electricity Oil Electricity Income Low High Triditional/ Table 1 The current energy sources and distribution in the household Energy sources Mountain region Plain region total household ratio rural household ratio urban household ratio rural household ratio urban household ratio enectricity LPG（natural gas） coal gasoline charcoal methane wood straw 53 （100%） 10 （18.87%） 45 （84.91%） 20 （37.7%） 9 （16.98%） 31 （58.49%） 50 （94.34%） 5 （9.43%） 14 （100%） 14 （100%） 10 （71.43%） 3 （21.43%） 2 （14.86%） － － － 25 （100%） 6 （24%） 20 （80%） 11 （44%） 5 （20%） 10 （40%） 2 （8%） 23 （92%） 8 （100%） 8 （100%） 5 （62.5%） 4 （50%） 1 （25%） － － － 100 （100%） 38 （38%） 80 （80%） 38 （38%） 17 （17%） 41 （41%） 52 （52%） 28 （28%） From the data
[3] CHEN Wenying, GAO Pengfei, and HE Jiankun: Impacts of future carbon emission reductions on the Chinese GDP growth, J of Tsinghua Univ (Sci & Tech), Beijing, Vol. 6 (2004), p. 744—747