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The creation of a free surface and broken symmetry leads to significant reduction of the total forces affecting atomic vibrations, both normal and parallel to the surface.
Therefore, the existing experimental data (Low Energy Electron Diffraction, Thermal Energy Atom Scattering, X-Ray diffraction) for sDT and DT can be applied directly to evaluation of heat capacity.
As a result of broken symmetry and significant reduction of the local forces, the atomic vibrations of surface atoms are strongly affected.
Being extracted form existing diffraction data, this ratio allows evaluation of the surface layer contribution.
The suggested model opens up a way to predict the heat capacity of nanocomposite materials directly from accessible experimental data for surface, sDT , and bulk, DT , Debye temperatures.

Modeling the price of CO2 emission allowances Obviously, over a whole commitment period of the emission reduction, the price of CO2 emission allowances will be fluctuating dynamically.
However, the bidding coefficients of rivals could be estimated based on historical data, load forecast and other available information, as stated in [4].
It should be stated here that in some operating electricity markets such as California, historical bidding data of Gencos are not broadcast in the market, however, in some other electricity markets such as those in China, historical bidding data are indeed available to all market participants.
/MW /MW 1 13.64 0.121 30 100 0.918 2 13.51 0.110 30 120 0.937 3 13.60 0.070 40 160 1.025 4 12.28 0.081 40 160 0.958 5 11.52 0.086 40 160 1.125 6 20.80 0.050 0 100 0.426 Assume that the remaining period of the current emission reduction commitment period is for one year (365 days), and the remaining amount (quota) of the CO2 emission allowances is 5 million tons in the emission trading market.

Third, 4-(5-bromo-4-hydroxyphenyl-3-methoxy)-2-butanone was synthesized by reduction of condensation aldol products with NaBH4 and NiCl2.6H2O in methanol under mild condition.
The structure of compound 1 was confirmed by spectral data (FT-IR, GC-MS, and 1H-NMR).
Nickel boride has been reported as a catalyst for selective reduction of α,β-unsaturated carbonyl compounds like aldehyde, ketone, acid, and ester [15].
FTIR spectra of the product revealed that the reduction has been done successfully; this is shown by the disappearance of C=H trans-bending around 972 cm-1.
Purnima, Chemoselective reduction of α,β-unsaturated aldehydes, ketones, carboxylic acids, and esters with nickel boride in methanol-water, Bull.

Improvement of the functional properties these tools and reduction of the ecological threats may be accomplished by employing the technology of putting down hard coatings on tools in the state-of-the-art PVD processes, mostly by improvement of the tribological contact conditions in the cutting zone and by eliminating the cutting fluids.
In the Fig. 3, there was a gradual reduction in tool life with increasing cutting speed to 200 m min −1 .
Therefore we can view which at increase in cutting speed indicate that the interaction of process energies, including temperature (Fig 4), increases generally and can therefore promote various wear mechanisms, which accelerate tool wear with the consequent reduction in tool life.
However this work the combination these data with that of the tool life, we can conclude that the lubricious/protective TiN film the tool surface during cutting to cutting speed equal to 160 m/min. 0 200 400 600 800 1000 1200 1400 1600 0,0 0,1 0,2 0,3 0,4 0,5 0,6 Flank wear (mm) Cut lenght (m) Vc=200 m/min, ap=0.50 mm, f= 0.20 mm/rev Vc=180 m/min, ap=0.50 mm, f= 0.20 mm/rev Vc=160 m/min, ap=0.50 mm, f= 0.20 mm/rev 0 200 400 600 800 1000 1200 1400 1600 0 100 200 300 400 500 600 700 800 900 Cut lenght Lc (m) Vc=200 m/min, ap=0.50 mm, f= 0.20 mm/rev Vc=180 m/min, ap=0.50 mm, f= 0.20 mm/rev Vc=160 m/min, ap=0.50 mm, f= 0.20 mm/rev Temperature (o C) Fig. 3 Flank wear vs cut length Fig. 4 Temperature vs. cut length.
Agreement Shewmon (1989), we should be concluded that the coating decrease the tool/chip interface temperature by reduction in contact and cutting forces through change in the tribological condition at the tool-chip interface [15].

This article proposed that uses the wavelet bag and method of neural network diagnoses the EGO sensor breakdown, analyzes the EGO sensor history failure data and historical normal data through the small-wave-packet analysis law, the extraction frequency band energy feature data for the neural network study, then uses has trained the neural network to treat the diagnosis the feature data to carry on the defect judgment.
Sensor output and Wavelet packet analysis extracted characteristic of oxygen sensor can be entered as BP neural network data, and determine the number of neurons input layer; The outlet has three, respectively is the normal data, the drifting failure data, other unusual operation troubles data, as shown in Fig 2.
Diagnostic criteria: If the first number is closer to 1 in the output vector (deviation less than 1), while the other two number very close to 0, you can for normal data.
Primary data Diagnostic data Characteristic vector Characteristic vector Wavelet packet analysis Neural network structure of restraining Neural network training Neural network analysis Normal，Drift failure， Other non-normal operation failure Discriminant Figure.3.
The super computer mainly realizes the result demonstration, the data preservation and control serial port receive data, transmission control command and other functions.

Based on this improved method, hardening data of two different tailor welded blanks were determined.
Compared to the models using the property data by the original rule of mixture (hereinafter “the original models”), the models using the property data by the improved rule of mixture (hereinafter “the refined models”) predicted better correlated results with the experimental ones.
The property data of weld metals in TWBs were derived from the uniaxial tension test of subsize specimens via the improved rule of mixture.
It was found that: (1) More accurate results can be predicted based on the models with the refined property data
Wang, Reduction of residual stress in low alloy steel with magnetic treatment in different directions, J.

In this phase, the temperature of flue reaches800-1150°C and carbon block reaches 700-1100°C. 788 group data are selected as sample from the third phase of baking with the temperature within 785-1150°C in a factory using 54-chamber open type baking furnace.
After pretreatment, there are 788 groups of data used for the modeling and open-loop temperature curve and pulse curve of oil burning is shown in Fig. 6 and Fig. 7.
Thus the model based on data from actual baking process with the aim of controlling the baking temperature of carbon through GA-NN method can be verified.
Experiment 2: Select 25 groups of data as training sample to compare the different unbiased variance of output value of model and actual process by using GA-NN network and BP-NN network.
CONCLUSIONS By using real time data, a control model based on GA-NN with the aim of improving control precision of baking temperature of carbon anode is established.

Actually, arable land use intensity change is likely Greater threat to regional food security and economic development more than land area reduction [7].
Study Area and Data Sources Study Area.
The town has 13 villages and 3 villages, 109 cooperatives, based on the actual survey data of 2008, the town area of 11592.92hm2.
Data sources.
The original data mainly comes from DaLu town land use change survey data in 2008, DaLu town 2008 Statistical Yearbook, DaLu town comprehensive land consolidation planning (2008-2012), and the author's practical survey, use Bishan County Planning Bureau, trade and Economic Cooperation Bureau, agriculture bureau and other departments data for supplementary.

Hardness measurements Table 2 shows the average hardness data of five samples in each of the three heat treatment conditions (as cast, solubilized and aged).
With the heat treatments, we show a reduction in the niobium concentration in the carbides, which diffuses towards the γ matrix.
Diffusion and Defect Data, Solid State Data.
Diffusion and Defect Data, Solid State Data.
[18] DATA BASE : Thermo-Calc Software TTNI8/Ni-based superalloys database version 8, http://www.thermocalc.com.

Therefore, strength and plasticity reduction is unacceptable.
Therefore strength and plasticity reduction is unacceptable [2, 3].
C2. accelerated cooling to different temperatures in the bainite transformation range with the following isothermal holding durations options; Accelerated cooling and isothermal holding parameters were determined based on DCCT diagrams data obtained in [3].
However, based on the obtained data, shown in Fig. 5, the amount of MA phase initially increases holding, and later decreases due to formation of carbides in the microstructure.