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First, select sample cities and process data.
Third, if the correlation of indexes is significant, use the factor analysis to make a data reduction and reduce the errors of inputs for the regression model.
All the data in this study were obtained from the national and municipal statistical yearbooks.
China’s urbanization levels: reconstructing comparable time-series data based on the fifth population census.
Modeling the drivers of urban land use change in the Pearl River delta, China: integrating remote sensing with socioeconomic data.

· material data for accurate modelling as flow-curves at high strain rates and high strains, appropriate parameters for damage modelling, etc. is hardly available.
In most cases, a numerical electromagnetic simulation will be required for this purpose and the inductor current, which is a priori not known, might be necessary input data.
Here, the according workpiece deformation is analyzed and serves as input data for an updated calculation of electromagnetic model.
Since the inductor current is a priori not known, LS-DYNA R7 includes the possibility of using the electrical voltage and the characteristics of the pulsed power generator as alternative input data.
A capacitor charging voltage of 16 kV was chosen as input data according to the results of the preliminary design step.

And the depletion of fossil fuels is primarily the reduction of its function or fuel energy content.
Calculation of Characterization Factors of Resource Depletion The annual production of non-ferrous metal resources, mining loss rate, recovery rates and overall recovery of data from the China nonferrous metals industry yearbook [16], which is the amount of annual data of minerals and metals (recycled metal production is not within the scope of the calculation) .
Because of the economic fluctuations, if the exploitation data of a specific year was used as a calculation base, the uncertainty of the characterization factors will be increased.
As a consequence, the average exploitation data (2007-2012) was employed as the base for determining the characterization factors of 2012, through which the temporal uncertainty can be reduced.
The average production data of the annual resources come from 2007 to 2012

Reduction of metal complexes in dilute solutions is a very common wet chemical method for the synthesis of metallic colloidal dispersions [2, 30-32].
Methods based on various types of precursors, reducing agents and other chemicals are used to promote or control the reduction reactions, their initial nucleation [2].
Turkevich method demonstrates synthesis of Au nanoparticles by the reduction of AuCl4- in a boiling aqueous solution of sodium citrate.
Shahverdi et. al. reported a rapid synthetic method for Ag nanoparticles by the reduction of aqueous solution of Ag+ ion using the culture supernatants of bacteria e.g.
UV-Visible spectroscopic data and TEM images revealed the formation of bimetallic Au/Ag alloy NPs.

Hardness and elastic modulus were calculated from the load-displacement data obtained by nanoindentation using a Nano Indenter XP (MTS Systems Corp.) equipped with the CSM option and the LFM option.
This effectively sets limit on the minimum indentation depth that is necessary to obtain reliable elastic modulus and hardness data, which is believed to be about 20 nm [3], so data at contact depth less than 20 nm are not considered reliable.
For Vickers indenters, αwas empirically found based on experimental data and is equal to 0.016 [5].
Both E and H values were obtained from the nanoindentation data (Fig. 1).
For the Si(100), there is a large scatter in the scratch depth data after the load of 138.64 mN, which is associated with the generation of cracks, material removal and debris.

The advantage of using RSM method includes reduction in the number of experiments, identification of interaction between factors, detection of the optimal response within the experimental region, and empirical modelling of the data.
RSM is also defined as a statistical method, which employs quantitative data from proper researches, to establish and concurrently resolve multi-variable equations.
Moreover, there is a very high concurrence between the predicted values and the observed data, as seen in Table 2.
The model must be adequate enough to play a significant role in the data analysis process.
Furthermore, the normality assumptions made earlier could be confirmed and the predictive regression model has extracted all information available from the experimental data.

Taro Production Phenomenon According to BPS North Sulawesi, taro growth data from 2013 was 86.77%, an increase in 2014 of around 93.06%, and 95.40% in 2015 although in 2016 it fell to 94.24%, based on these data, it can be seen that the prospect Taro sweet potato in North Sulawesi can be said to be abundant as well as South Minahasa Regency, especially West Motoling District which was recorded by the Center for the Study of Agricultural Growth in 2014 the harvested area was 78ha with production of 5700 tons, while 2016 harvested area was 174ha with production of 10,000 tons (BPS North Sulawesi, 2016).
This research purposes, (1) Develop proper processing technique skills in manufacturing taro into taro flour. (2) Developing a Taro Brownies product by using taro flour as a substitute for wheat flour or flour reduction wheat. (3) Develop a Pancake product using basic ingredients taro flour as a substitute for wheat flour or flour reduction wheat. (4) Knowing consumer acceptance of Brownies Taro products. (5) Analyzing the nutritional value contained in Taro Brownies. (6) Analyzing the nutritional value contained in Taro Brownies [3].
The data sources taken were 15 panelists.
According to Anonymous, 2013 Data analysis techniques in the product development process use organoleptic tests by providing product samples to be tasted, after which the panelists are given a questionnaire to fill out.
The data that has been collected is tabulated and analyzed and presented with a diagram using the analysis of variance formula (analysis of variance).

But very soon new data appeared [5, 6] showing that the answer depends on the growth conditions.
The point defect parameters in the high-T range relevant for defect incorporation and subsequent agglomeration were deduced [12] using reported data on self-diffusion (controlled by both I and V), metal in-diffusion (controlled mostly by I), metal out-diffusion (controlled mostly by V), quenched-in vacancy profiles installed into wafers by Rapid Thermal Annealing, as well as some data on the grown-in microdefects themselves.
Some data indicate [13] a remarkably strong vacancy drift in the uphill direction (towards a higher T), with aV as high as 0.06 mm2/(min K).
These data (shown by circles) are compared in Fig.2 to CV calculated by Eq.(2).
TEM data on B-defects are scarce; most likely these are small globular agglomerates of self-interstitials.

As the standard tensile test only determines the mechanical properties in one direction the resulting test data may not be applicable to multi-directional forming processes such as deep drawing.
Therefore no stress-strain data could be obtained for the required area.
This specimen was tested experimentally but due to the fact that facture occurred in the legs of the specimen, no stress-strain data was obtained.
The experimental data did not agree with the FE analysis for this specimen as stress was at a maximum in the gauge area of the specimen.
The pantograph apparatus could be used to produce biaxial force on a specimen and could record all the data to produce stress strain graphs in both the X and the Y direction.

Tables II shows the recorded data.
From the data in Table IV, it can be seen that the aluminium sample are have produced large warpage value.
Data from Table VI shows that aluminium has the bigger shrinkage value.
The effect of the mould material was studied and analysed from the samples and there were three sets of data made for comparisons, which were material consumption, warpage and shrinkage.
The Definite User’s Guide and Data book.