Search results

The basic thought of factor analysis and the analysis process[2] [3] The basic thought of factor analysis Factor analysis, a multivariate statistical analysis for dimensionality reduction, is used here, by studying the inter-dependency in the correlation matrix of various indexes, to identify the common factors which control all variables.
Principal component analysis and quartimax orthogonal rotation Principal component analysis is made to all data and therefrom find the common factors, as is shown in Table 1.

The technology may effectively shorten the period of research and development and has become a powerful tool for improving product quality and cost reduction.
The nozzle of FDM extrudes semifluid fuse under the control of CAD layered data, and the solidification fuse forms a thin layer with profile of the modal.

It is well known that some problems in PZT thin films, such as polarization fatigue, reduction of remanent polarization due to repetitive switching, seem to be hindering their application.
The peaks are indexed according to the standard powder diffraction data of Bi4Ti3O12.

Reduction of tensile stress confirmed at about 6mm displacement in the composite sintered by 30MPa, and at about 7mm in the 50MPa composite.
These data instruct volume fraction 16.9% from compound rule.

Malic enzymes catalyze the oxidative decarboxylation of malate to pyruvate and CO2, with the concomitant reduction of the cofactor NAD(P)+ to NAD(P)H [10].
Conclusions In conclusion, our data show full-length ME cDNA was cloned from Dunaliella parva, which includes 1293 bp coding region and 26 bp 3'-untranslated regions.

The data show that the elongation and reduction of area increase but ultimate strength and yield strength decrease as the cooling rate gets slower.

The XRD data were indexed by the hematite phase (ICSD88418).
As the ionic radius of Ca2+ is 0.99 Å, while the ionic radius of Fe2+ and Fe3+ are 0.76 and 0.64 Å, respectively, doping was expected to lead to increased cell volume and consequent reduction of the surface area, resulting in a shift of diffraction peaks toward higher angles.

The data underlined are single factor parameters.
The surface roughness increased with increase of cutting speed, accompanied by cutting force reduction.

where, the parameters , and, Using correlation coefficient method, by programming in MATLAB, according to the dichotomy approaching principle, combined with the road level probability, fitted the gear life, the maximum likelihood could be estimated, the failure functions of each gear were fitted, according to the data in the table1, through the MATLAB programming, the parameter values were be estimated as the table 2[5].
Parameter θ was the correlation coefficient, in the determined trip, θ increased from 0 to 1, reliability decreases, and the reduction rate increased.

For example, it is shown in the work [2] that UIT of magnesium alloy led to about 23% reduction in coefficient friction and about 30% decrease in wear rate compared to the untreated specimens.
Moreover, it is revealed from Fig.4 that the thickness of plastic deformation surface layer is about 70 mm that correlates well with the data obtained by EBSD-analysis.