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He developed a methodology, based on the strength and overall stability of the core elements of the composite cross section taking into account the reduction in Eurocode 3.
Its introduced new data on the impact of the loss of local stability.
а) b) Figure 4. а) Schedule F (), point 1, samples without edges of rigidity, b) Schedule F (), point 1, sample with edge of rigidity а) b) Figure 5. а) Schedule F (), point 2, samples without edges of rigidity, b) Schedule F (), point 2, sample with edge of rigidity а) b) Figure 6. а) Schedule F (), point 3, samples without edges of rigidity, b) Schedule F (), point 3, sample with edge of rigidity The data used were obtained experimentally by the deformation of thin-walled central section of the beam in bending.

The data clearly illustrate the dependence of interior morphology on the composition of the material.
The data also show that all the materials exhibit a consecutive reduction in the magnitude of SR due to their relatively slower swelling rate when compared with their shrinking rate.

The value of each histogram bin is multiplied with its SVM weight then parallel reduction is used to add the weighted values and finally the hyper-plane bias is subtracted.
As shown in Fig. 6, in order to get high performance, all of constant data are stored in the GPU constant memory.
In comparison to GPU global memory, reading data from the constant memory is faster.

The study on soil respiration can be a better understanding of each link of carbon cycle in terrestrial ecosystem and the positive feedback effect of soil respiration under the background of the global change, contributing to the function study of soil carbon sink and correct assessment of the change rate and direction of soil carbon flux, in order to develop policies for emission reduction and implement measures to increase carbon sink.
The test data was analyzed using SPSS 13.0.
Total monitor number was 33 times during five months, obtaining 792 data of soil CO2 emission fluxes.

Data acquisition and equivalent circuit simulation was connected over personal computer.
(a) (b) (c) Fig. 4 SEM images of (a) Ppy (b) GO (c) Ppy/1% GO Fig. 5 TEM image of Ppy/1% GO Figure 6 revealed the real impedance (Z’) and imaginary impedance (Z’’) data curve of ropivacaine concentrations ranging from 1 to 20 ppm in 0.9% NaCl solutions were tested with Ppy and Ppy/1% GO, both coated over Au electrodes.
The addition of GO might have been the cause for the reduction in impedance and increasing the linearity.

Nevertheless, point source model often fails to describe characteristics of observed data of array while the space distribution characteristics of sources could not be ignored, which will lead to performance deterioration of high-powered parameters estimation algorithms.
Observed data vectors can be expressed as (1) Where is steering vector of the point source, is complex envelop of the signal, and is additive white Gaussian noise.
According to Fig.2, RMSE for azimuth and elevation of present method gradually reduce along with the reduction of SNR.

According to experience data, load should be no more than 5% capacity [7].
Therefore, in the process of starting large capacity auxiliary, bus voltage should be raised appropriately in to dampen the extent of the voltage reduction.
Ÿ In the future, black start field test should be conducted periodically, to obtain the relevant field data, revise the original plan and optimize plan’s procedure.

The graph below is the manufacturer’s data while the other is the result of a dynamometer test conducted by students of Chalmers University [6].
The following table shows the testing data of the alternator at different RPM and loading conditions.
Driven Alternator Pulley The alternator pulley was designed in a way, so as to utilize the Magic Pie alternator’s own diameter for reduction.

Furthermore, the experimental data available are limited.
The value of the calculated molecular descriptor and the experimental debromination data in this study are listed in Table 3.
b Part of the experimental data in the table were collected from the references [7,13,14] and calculated by Zhuang et al. [14].
One principal component (PC1) was extracted from the original data accounting for 86.156% of the total variance using the PCA-MLR approach.
There are some deviations between the prediction results and the experimental data.

Data collection.
With calculation based on product production mass per unit (kg), data collection list of various thermal insulation materials determined in the research is detailed in Table 1.
Through the investigation in typical enterprises in China, we obtain the raw material per unit product consumed, energy consumption and transportation data involved in the production phase of three categories of thermal insulation materials.
The polyphenyl board and polyurethane rigid foam board may be neglected in data collection in view that very little additives such as dispersion agent, initiating agent and flame retardant is applied in production.
The upstream process data involved in the research is from the international and domestic public database [8-10], see Table 2.