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Aluminum and other materials are used more widely with the improvement of car’s weight reduction requirements and the high speed development of new materials.
Table 1 shows the data involved in the calculation.
Table 1 Some data of the car.

According to the test analysis of data from 2001 to 2009, it is found that real estate prices is Granger Cause of inflation while inflation is not the Granger Cause of real estate prices in this paper.
A case analysis on the real estate price and inflation Descriptive statistics. (1) Variable selection and data processing.
The sample interval in this paper is the monthly data from January 2001 to December 2009.
The data is from CEInet (see appendix 1) (2) Descriptive statistical analysis.
The error sequence e data of regression model gained can be shown in picture 2, and the unit root results of error sequence is in table 2.

Next stage of loading was loaded (unloaded) after the data was collected.
Results Analysis of the Experiment This experiment data is selected every 0.4 m.
The data of composite grouting pile settlement, pile body parameters such as strain, stress and axial force were analyzed respectively, comparing the strain and the optical fiber strain data at the same time.
The reduction of pile stress fluctuates from the top of the pile to the bottom of the pile.
But the data needs to be modified with the strain gauge data.

The strain information obtained at sensor locations was used as the input data for ANNs.
The output or target data was the x and y coordinates of the centroid of the defects.
Strain data for 80% of the defect locations was randomly selected and used to train the ANN.
Neural network analysis An ANN may be described as a non-linear mapping function from multiple input data to a variety of output data.
The number of nodes used for the collection of strain data was varied as noted in the results section below.

Based on these results, it is proposed that methyl terminated quantum dots may be size selected taking advantage of the reduction on mini-gap and the localization of electron as a function of the cluster size.
In to our previous study [20] it was found that the computational details adapted to study QDs can be a basis of an ideal calculation, since the result were closed to the experimental data.
In order to reduce the processing time for geometry optimization, molecular mechanics (MM) was performed as a solution of time reduction for initial geometry optimization steps.
The type of passivation agent affects three main parameters: (i) reducing energy gap of the system, (ii) changes on structure geometry as well as bond length on particular size of QDs, and (iii) the reduction of mini gaps that can affect the exitonic recombination process of electrons and holes as the size of QDs increases.

However, accommodation of such openings caused reduction in beam strength, stiffness and caused excessive cracking and deflection.
The study revealed that the continuous deep beams having web openings in the region of interior shear spans suffered a higher reduction in the load capacity with the increase in opening size.
The reduction of the concrete area in the high shear zone significantly reduces the beam shear strength and creates great serviceability problems.
The results of the FE analysis were compared with the experimental data in literature showed the validity of the computational models in capturing the structural response for both un-strengthened and CFRP –strengthened deep beams with openings.

Three samples with different initial microstructures were cold rolled to a 40% reduction in thickness.
For each sample, the thickness was reduced from 3.5 mm to 2.1 mm (~40% reduction).
The rolling was carried out in several passes with a reduction of ~0.05 mm in each pass.
An angular selective backscatter (ASB) detector was employed to examine the microstructure and an electron backscatter diffraction (EBSD) detector equipped with the HKL Technology CHANNEL 5 EBSD software was used for data acquisition, orientation mapping and texture measurements.

Copper(0) nanoparticles in nanoporous nickel phosphate VSB-1 were prepared by the methods of ion exchange and hydrogen reduction.
The Cu 2p core level binding energies were consistent with elemental Cu(0) appear in the X-ray photoelectron spectroscopy (XPS) data.
XPS data are characteristic of elemental Cu(0).

However, the accuracy of multi-parameter evaluation method depends upon the information content provided by the initial data; therefore, the pre-processing of data in decision-making and method itself are still worth in-depth study and improvement.
In this sense, data normalization is necessary before clustering.
The technique of data normalization applied by this paper is showed as follows: Data normalization for efficiency-type indexes (large value-oriented): Data normalization for cost-type indexes (small value-oriented): To avoid that element equal to 0, we introduce the balance factor, which is usually valued 0.9.
The decision matrix is transformed into fuzzy matrixafter data normalization
However, the accuracy of multi-parameter evaluation depends upon the information content provided by the initial data; therefore, the pre-processing of data in decision-making and method itself are still worth in-depth study and improvement.

Porosity Pt=1-Bulk Density (ρm)Particle Density (ρd) (2) The X-ray diffraction data curve provides information about the lattice parameter and phase.
The data is plotted with 4sinθ along the x-axis and βhkl cosθ along the y-axis.
The data in Table 1 shows that the ultrasonic times do not affect the formation of SHF compounds where all SHF compounds formed are 100%.
The data in table 1 shows that the ultrasonic time affects both the mean crystal size and microstrain of SHF.
Such progressive reduction of porosity is also applied for composite samples consolidated from ultrasonic irradiated powder.