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An illustration of data taken at sin 2Ψ = 0.4, +Ψ branch is given in Fig. 2.
Illustration of data taken.
The profile is slightly smaller than the original data due to the combination of data from +/branch which implies some missing data points because of displacement after sample rotation.
Possible explanations lie in the different spatial resolution between the experiments (the extent of the weld is about 150 µm) as well as in averaging data (synchrotron data) resp. data handling when deriving 2D maps (neutron results).
Computer based analysis of multi-dimensional synchrotron radiation data by unsupervised classification.

Vesanto [8] used SOM to preserve high-dimensional data topology and map it to a two-dimensional space to form a topology map.
Therefore, it is a grid that is constructed to be selective and responsive to the input data.
The original 16384 point data are reduced to 26 point data. 28 samples (4*7) are used as training samples.
Data from 15 runs before the prediction point are used to train ARMA model and calculate the value for the prediction point.
Vesanto, “SOM-Based Data Visualization Method,” Intelligence Data Anal, Vol.3,No.2, (1999), pp.111-126 [9]Cao, Y.

Specific data as shown in table 2.
The design of the questionnaire and data sources.
Correlation analysis of original data.
Suitability testing of original data.
The data sample KMO value of 0.925, indicating that the data of this study is suitable for factor analysis.

In this section, experimental data from Li et al.[24] is used to verify our numerical model’s effectiveness.
Fig. 4 indicates the wave surface elevation at the gauge, where solid line is the numerical results and circle denotes experimental data.
The wave height, phase and skewness are represented by numerical results, which agree with experimental data well, as shown in Fig. 4.
Hu et al.[8] selected 20 runs from the experimental data of Saville[1] to verify AMAZON model.
References [1] Saville T.: Laboratory data on wave runup and over topping on shore structures (Beach Erosion Board Corps of Engineers, USA 1955)

The calculated lattice parameters are consistent with the available experimental data.
The bulk modulus of Al1.5CoCrNiFe high-entropy alloys was fitted and the value is consistent with the available experimental data.
The calculated lattice parameters agree well with the experimental data.
The agreement between the calculated lattice parameters and the available experimental data are satisfactory, the deviations range from 0.3% to 2.4%.
The calculated enthalpies of mixing data demonstrating severe lattice distortion effect lead to the further decrease of enthalpy of mixing values. 

Fig.1 Model of the Pool Fig.2 Pattern of Deformation Data Processing And Section Design The pool expands outward under the water pressure, and the deformation increases gradually from bottom to top.
Conclusions 1) Variable cross-section design of a deep pool is suggested for its advantages in material and cost reduction. 2) The shell model of SAP2000 can simulate the stress state of the pool well, and the results are authentic for the designers to utilize in their work. 3) In the section design of a deep pool, the section width should be reasonable on the condition that the section bearing capacity is satisfied, what’s more, an economic ratio of reinforcement should be achieved. 4) The crack size should be severely controlled in a big pool project, and deformation cracks should be set according to relevant codes. 5) Manual calculation under the one- or two-way slab hypothesis can achieve higher load effect than the realistic situation.

Force signals were recorded by a Dewe2010 data acquisition system and then filtered with a cut-off frequency of 10 Hz.
Ref. [8] revealed that the increase of swarf effect will cause the location of resultant force shift to the bottom of contact zone which results in the reduction of Kβ [8].

Third, under earthquake, I part is taken as 50 years old and the probability is 5%, design earthquake acceleration is 0.168g, II part taking the probability condition is 10% and design earthquake acceleration is 0.126g, then the seismic effect reduction factor is 0.25 and dynamic distribution coefficient is 2.0.
Due to the large number of data, not all the calculation result is enumerated, the models of different profiles are shown in Fig. 2, Fig. 3, Fig. 4 and Fig. 5.

Many reasons would arouse the stress reduction in the strands, such as anchorage take-up, elastic shortening, shrinkage of concrete, creep of concrete, frictional loss and relaxation of steel, etc.
To simplify the calculating, the average measured data are applied to the top plate and bottom plate.

With the activation energy data obtained for each firing temperature, Eq. (5) could be used (the ratio bx/by was considered unity) to derive the equations describing how moisture expansion of each fired sample evolves with time at average ambient conditions (20ºC and 70% RH).
As the firing temperature increases, the first effect of the developing liquid phase will be wetting of the particles and reduction of the specific surface area.