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In this paper, we try to focus on the urbanization shock to the resident living direct carbon dioxide emissions, and adopt the Impulse Response Function (IRF) and variance decomposition of Structual Vector AutoRegression (SVAR) model based on the yearly sample data from 1985 to 2009 to conduct the empirical study of the dynamic fluctuation relationship between China’s urbanization and the urban-rural resident living direct carbon dioxide emissions disparity, so as to provide policy implications for China's carbon emission reduction.
Methodology and data source Methodology Sims [10] recommended Vector AutoRegression (VAR) models as providing a theory-free method to estimate economic relationships, which fits a multivariate time-series regression of each dependent variable on lags of itself and on lags of all the other dependent variables.
Data source and description The database used for this study is a yearly time series sample of urbanization, and urban-rural resident living direct carbon dioxide emissions disparity variables, for the year 1985 to 2009 in China including 1986 and 1987 missing data.
The data on CZH is calculated from the proportion of urban population in total population, and which is published in China statistical yearbook 2010 and the recent years’ China statistical yearbook.
Furthermore carbon emission reduction may depend on the successful application of nuclear power.

After 3 months implantation period, there was an improvement in CAL and reduction in PD along with bone fill was observed.
Three months post operatively there was marked improvement in PD reduction and CAL gain (Table 1).
The present study showed an average PD reduction of 4 mm and CAL gain of 4mm.
The PD reduction in this study is similar to the one performed by Park et al 22 but that study was of 6 months duration.
Graph - 1 Graph - 2 Figure 4: Graph shows Bone defect area and bone filled data for patient one (A), and patient two (B).

The experimental results indicated that compared with MQL and refrigerated gas cutting, application of CMQL resulted in more drastic reduction in tool wear and surface roughness.
The interface temperature can be obtained according to the calibration data of the Ti-6Al-4V-constantan thermocouple.
There was a reduction of 10℃ in cutting temperature for CMQL (-10℃) as compared with refrigerated air cutting (-10℃).
However, there was a reduction of 30℃ in cutting temperature for CMQL (-20℃) as compared with refrigerated air cutting (-20℃).
However, there was a considerable reduction in flank wear for CMQL (-20℃) as compared with dry milling and refrigerated air cutting (-10℃) conditions.

When experiment began, the trays were got out respectively every 30 min, and weighing by electronic balance, and record the environment temperature and humidity, and the relevant data displayed in the control box.
The higher the hot air temperature is, the shorter the drying time, and the faster of the reduction of the moisture content.
With the reduction of the moisture content, the drying rate gradually declined, drying process had no apparent constant speed drying stage, the slow down process presents, but with a few small fluctuations.
The higher of wind speed is, the shorter of the drying time, and the faster of the reduction of the moisture content.
The reduction speed of the drying process has been presented.

Excessive or insufficient initial pressure is not conducive for the reduction of wall thickness thinning and guarantee of wall thickness uniformity.
The wall thickness evenness can be intuitively reflected by the σpre due to the standard deviation is a measure that is used to quantify the amount of data values.
Significant reduction in wall thickness standard deviation was observed when there is an increase in the maximum cavity pressure from 7 to 10MPa.
Meanwhile, the radial tensile stress in the workpiece is restrained and the reduction ratio is reduced.
The reduction ratio of the workpiece thickness reduces and the thickness evenness improves by increasing the maximum cavity pressure within a proper range.

The equipment has elaborate control, data logging and monitoring systems including a mass spectrometer (Figure 5) for measuring the composition of the process off gases.
Whilst these cells reduce only gram quantities of material per run they turn around quickly and operate flexibly and hence are able to generate quantities of scientific data relatively quickly.
These cells function both to provide development data and quantities of FFC reduced product for testing, post processing and customer evaluation.
Figure 8: Kilogram scale FFC reduction facility for titanium.
Develop a route for Ti alloys, in particular Ti-6Al-4V by direct reduction in the FFC cell. 4.

Ea is evaluated to be ~0.47 eV from the data.
Solid line is fit to the data.
The present data seem to be consistent with PLD samples [6].
One possibility is the reduction of impurity-related carrier by annealing.
Recently, we reported the reduction of O-H absorption band by thermal annealing [5].

(2) The PVT data were plotted in Fig. 3
Shear stress Mpa 0.3 10 Max. shear rate 1/s 50000 Fig.3 PVT data Fig.4Viscositymodel coefficients The simulation results of the original model Filling Time of the original model is shown in Fig. 5.
Fig.19 Mold contrast Estimation of Material saving cost We calculate the nozzle material weight reduction and injection time reduce as an example in order to calculate the total cost reduction.
As shown in Table 2, each product nozzle material weight reduction cost saving for: 510.546×(53.512%-31.421%)×35000×10-6≈4 yuan.
Table.2 Test Data 　 Original model Modified model Material ASA 778T ASA 778T Solid density g/cm3 1.0531 1.0531 Material price RMB/t 35000 35000 Volume of product cm3 484.803 484.803 Weight of product g 510.5460393 510.5460393 Volume of nozzle material cm3 259.427 152.328 Weight of nozzle material g 273.2025737 160.4166168 Nozzle material for injection weight % 53.51183883 31.42059764 Injection weight g 783.748613 670.9626561 Cost of material RMB 27.43120146 23.48369296 Injection time s 3.18 2.75 Maximum injection pressure Mpa 86 90 Maximum clamping force t 546 430 Injection time reduction cost saving for: The molding cycle of the original plan in about 1 minutes.

Namely, these factors are: the legal base, the standard base, the accounting method base, the monitoring system and measuring technique base, the data base and the enterprise capacity.
The accounting method, monitoring and measuring technique, and data bases support the GHG emission quantification at the enterprise level, which directly impact on the key reporting content of the GHG emission quantity.
The proposed system was assessed by AHP [4] with four indexes: “the dependence on the existing policies”, “the cost efficiency”, “the foundations of technology, method, standard and data”, and “the operatability of the reporting entity”.
With calculation formulas and emission factors integrated in the background, the user simply needs to input activity data of an enterprise to obtain its emission result and the final report.
Difficulties mainly lie in, the lack of legislations, standards, and data to support such a system.

Considerable reductions in the maximum tooth contact pressure and in the transmission errors were obtained.
The main design data of the example face-hobbed hypoid gear pair used in this study are as follows: number of pinion and gear teeth 10 and 41, respectively, module 3.4 mm, pressure angle 20 deg, mean spiral angles 52 deg and 27.3 deg for the pinion and the gear, respectively.
Moderate reduction in the maximum tooth contact pressure (7%) and drastic reduction in the maximum angular displacement error of the driven gear (83%) were obtained.