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Mean residual stress values of simulation after compression are identical to the XRD testing data.
Fig.5 Mean residual stresses of simulation values and XRD testing data along z-locus Fig.5 shows mean residual stress comparison of simulation values and XRD testing data after compression of Plate B along z-locus.
And the average error of mean residual stresses between experimental data and simulation values is 24.3MPa.
Obviously, it can be seen that mean residual stress values of simulation after compression are identical to the XRD testing data.
Mean residual stress values of simulation after compression are identical to the XRD testing data.

With the comparative analysis of CODE(JTG D62-2004) method and measured data, it draws a conclusion that considering the support patterns on pier top negative moment influence on engineering structural analysis is more appropriate.
Then the negative bending moment must be carried on the reduction treatment[1].
The formula for bending moment reduction in the CODE is the Eq.1
Moment value is too large after reduction in accordance with the standard formula.
(in Chinese) [3] Tian Wen-tao,He Xiao-hua.The study of data exchange files between SolidWorks and ANSYS software, Modern Manufacturing Engineering.

Advanced data assimilation method is used for the short-term wind power forecasting based on a meso-scale model.
Data assimilation (DA) is an essential component of all NWP systems.
Data Assimilation System.
The observation pre-processing modular (OBSPROC) of WRF-Var is implemented for data sorting, quality control and observational error assignment.
Kuo, “Four-Dimensional Variational Data Assimilation for WRF: Formulation and Preliminary Results.”

Feature selection has become the focus of research areas of applications with high dimensional data.
Introduction Rapid technological developments in Computer Science have resulted in increasing quantities of data, making many of the classical data analysis tools unavailable.
NMF[3] is a good method for dimensionality reduction which has been used in many fields,such as text mining, face recognition, microarray data analysis and so on.It is always considered to be an unsupervised learning algorithms for feature extraction.This paper is to use it for feature selection not for feature extraction.
In this paper,we propose a new feature selection algorithm adopting a two-step strategy for high-dimensional data .The first step is to use improved NMF to compress the great number of data samples to several groups of vectors which can be regarded as the basis of each category in the dataset.
Since relatively few basis vectors are used to represent a lot of data vectors, good approximation can only be achieved if the basis vectors find out latent structure in the data.

This paper summarizes and arranges the data of such experiments on composite walls with openings.
Japanese and North American standards both gave the equation of reduction ratio considering openings based on the test data, but the formula is not accurate and needs further study.
This paper summarizes and arranges the data of such experiments of composite walls with openings.
After that, Fei Liu[7] used amended sheathing area ratio as argument, and defined dependent variable parameters, which were peak strength reduction ratio and elastic stiffness reduction ratio , the expression of which were as follows: (6) (7) Calculating equation of reduction ratio for composite wall with openings At First, the paper summarizes the data of such experiments of composite walls with openings, then collects the minimum reduction ratio of the same sheathing area ratio, and gets Table 1.
Conclusions Based on an overview of existing experimental research on shear behaviors of cold-formed thin-walled steel composite walls with openings, This paper summarizes the experimental data on shear capacity of the composite walls with openings, and further analysis with SPSS (Statistical Product and Service Solutions) software was carried out to make a regression analysis and get an equation of reduction ratio considering the effect of openings on the shear capacity.

Weight reduction is a priority across the automotive industry for improved fuel efficiency and CO2 reduction, and crash safety is the first design criterion considered during vehicle development.
Recent research shows that every 10% vehicle weight reduction can yield 5-8% greater fuel economy, while reducing 100 kg of vehicle weight can lead to CO2 reduction up to 12.5 g/km [1].
Material Substitution for Weight Reduction.
For steel, , , gives reasonable agreement with the experimental data by Symonds[5].
Table 2 Weight reduction of front rail in designs with various AHSS Design No.

Fig. 1(b) shows the effect of different chloride concentration on NB reduction by SM-NZVI.
Fig. 1(d) shows the effect nitrate on NB reduction with SM-NZVI.
The data showed a limited effect on NB reduction was acquired at different NO3- dosage, and the effect did not trend to be expanded significantly during the reaction.
Fig. 2(b) shows the effect of Ca2+ on NB reduction.
It means that the enhancement of NB reduction is due to Cl- but not Ca2+.

The ion induced-reduction eliminates the need for high temperatures typically required for the reduction processes.
The XPS spectra of the as-grown sample is characterized by a doublet with the W 4f7/2 component at a binding energy (BE) of 35.6 eV and an energy separation between the W 4f7/2 and W 4f5/2 peaks of 2.2 eV, which agrees well with the data for pure WO3 (W6+ ionic state of tungsten) from the literature [31], [36], [37].
Closed circles represent experimental data and solid lines the fitting doublets of mixed G-L functions.
These results align qualitatively with previous data obtained from WO₃ samples bombarded with Ar+ ions [36], [37].
Closed circles represent experimental data and solid lines the product of mixed G-L functions.

The test proved the drag reduction effect of soft dolphin skin.
Each test data is average values after test three times. 3.1 NACA4412 Airfoil The drag reduction rate, lift increase rate and lift-drag ratio change rate of airfoil are calculated by the following formulae: （1） （2） （3） Fig.8 is the relation of inflow velocity and drag for NACA4412 airfoil, and Fig.9 is the relation of inflow velocity and drag reduction rate for NACA4412 airfoil with bionic soft surface.
Turbulent drag reduction using soft surface[J].
Test Research on Drag Reduction of Soft Wall [J].
Test on Drag Reduction of Soft Surface and Research of Drag Reduction Mechanism.

The FT-IR and Raman results showed that the reduction degree of GO to rGO was increased with the rising of the reaction temperature and time.
The optimal condition of the chemical reduction of GO to achievable rGO was the temperature of 90 °C with the 45 min of heating time.
Then, all the synthesized rGO samples were characterized by spectroscopy techniques to analyze the reduction degree of GO.
These data confirmed that the reduction degrees of GO convert to rGO are increased over the chemical reduction method by using vitamin C as a reductant, this result is consistent with previous reports [2,6,7].
The color change in the GO suspension afetr reduction is confirmed that GO is reduced to rGO as same as previous papers [1,3,5,6].