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The best data obtained, among all the tested membranes, were methanol permeability of 0.52 ×10-6 cm2s-1 and proton conductivity of 47 mScm-1  with the methanol selectivity of 9.1 × 104 S.s.cm-3, even at a high temperature of 60oC.
Nevertheless, there are two main problems in the application of DMFC technology in wide ranges: First, the inadequate oxidation kinetics of fuel and second, methanol crossover through the proton exchange membrane (PEM), which may cause a decrease of efficiency, reduction of open circuit voltage (OCV) and depolarization of the single cell [2].
For instance 88% reduction in methanol permeability could be achieved by SPEEK nanocomposite compared to Nafion 117 at 60oC.
The highest selectivity among all the selectivity data was related to the SPEEK nanocomposite membrane at 60 oC (9.01 × 104 S.s.cm-3).

The two cases used in the present study have been selected based on the reliability of the data produced by researchers using different CFD codes.
Experimental data from Mabey’s 7402-series shock tunnel tests [4], Van Driest [5] and numerical data from a 2D simulation of the flow-field are used for this validation exercise.
Data from each X-Z row of cells was compared to investigate the effect of the 3D extension.
Comparison with Mabey’s experimental data [4] suggested boundary layer transition was delayed in the Eilmer simulation.
The deviations in temperature and velocity accumulated into a cf error of 4%, but within the experimental uncertainty of Van Driest’s data [5].

What remains elusive is good quality data that confirms this choice of compression (or stretch).
Residual stress characterised by x-ray diffraction. b) Data plotted using a Zener Wert Avrami function to linearize the data.
In this case the fWhM data is a simple average of all measurements made on the blocks.
This increases the uncertainty in the data.
In summary the trend observed in the cylinder peak width data does correspond to that seen in the blocks.

The datas in Table 1 showed that the PPD4 modified by mixture amines had better effect on decreasing pour point of crude oil.
Table 1 Results of pour point of crude oil (pour point = 13 °C ) treated with 3 000 ppm of maleic anhydride copolymers of different compositions Maleic anhydride copolymers additives Pour point (°C) Reduction of pour point (°C) SMA- C12H25NH2 (PPD1) 9 4 SMA- C16H33NH2 (PPD2) 7 6 SMA- C18H37NH2 (PPD3) 7 6 SMA-(C12~C18)NH2 (PPD4) 6 7 Effect of dosage of additives on pour point The effect of PPD on pour point was related with dosage of additives, and the results that the PPD4 were tested in crude oil at the temperature of 50 °C were showed in Table 2.
Table 2 Results of pour point of crude oil (pour point = 13 °C ) treated with the PPD4 at the temperature of 50 °C Dosage of additives ( ppm ) Pour point (°C) Reduction of pour point (°C) 500 12 1 1 000 11 2 2 000 8 5 3 000 6 7 5 000 7 6 6 000 7 6 Effect of temperature of adding additives on pour point The temperature of adding additives was related with crude oil composition and wax structure.
It showed that the maximum reduction of pour point was 9 °C when the temperature of adding additives was 60 °C.
Table 3 Results of pour point of crude oil (pour point = 13 °C ) treated with the PPD4 at the dosage of 3 000 ppm Temperature (°C) Pour point (°C) Reduction of pour point (°C) 30 11 2 40 8 5 50 6 7 60 4 9 70 4 9 80 4 9 Viscosity and flow behavior Pour point did not completely describe crude oil flow properties, and the viscosity also be considered.

After getting the mixed oxide powder, we can obtain ODS iron powder through heating and deacidizing in hydrogen reduction furnace.
Fig.2(b) shows the morphology of ODS iron powder prepared by co-precipitation and reduction.
b a Fig.2 FE-SEM images of the powder (a) ODS iron powder after calcination (b) ODS iron powder after reduction Fig.3 shows the X-ray diffraction pattern of the calcined powder and the reduced powder.
Microstructure of samples: (a) Fe (b) Fe-2wt% Al2O3 (c) Fe-2 wt% Al2O3 sample×100000 Table.1 shows the performance datas of iron powder before and after dispersion strengthening in the same SPS conditions.
Jones, Reduction of porosity in oxide dispersion-strengthened alloys produced by powder metallurgy, Metall.

The PLC is responsible for the data collection and automatic control, while the PC is responsible for the surveillance of FGD system operation and the data processing through mutual communications between PC and PLC, which realizes the communication between human and machine and ensures the safe, stable and economic operation of the FGD system.
In order to achieve the SO2 emission reduction targets, country has developed a series of environmental protection measures.
Fig. 3 Power supply circuit 3.4 data acquisition circuit According to the control system requirements, the main desulfurization system data is collected as follows: pH of the slurry, dust concentration, gas pressure and gas temperature.
Meanwhile, on-site data acquisition circuit and the interference of power supply circuit were designed.

The physical mechanism of the reduction of temperature is analyzed.
We compute wall heat flux in the condition of different flow model, and compare the results with the experimental data.
The distribution of stagnation point temperature (see Fig.2) with SST model is identical with the experimental data [13, 14].

The database contains well-structured data and was used by many researchers for the purposes of vessels image partition extraction and classification [5].
Support Vector Machine is the supervised learning algorithm used to classify data entered two categories.
The goal of SVM is to select the super-optimal separation of the data set.
The number of features (N) defines the (N-1) dimension space that separates data into two categories.
JSM Biomedical Imaging Data Papers, 2(1), 1004

Using the data, the thicknesses of each bridge submit to normal distribution well.
It can be seen from Fig. 10 that the data of the chloride ion diffusion coefficient are relatively uniform distribution in the same line nearby.
Making use of the data in Table 2, the life of the concrete structure was predicted and analyzed.
It can be seen from Fig. 14 that the more simulated data are scattered along the same line of data.
Chloride ions on the core samples can be seen from the fitting data and the original chloride content is as high as 0.1% (with the concrete quality ratio).

Using linear acoustic array in through-transition method, a set of data from different angles is obtained.
Using this data set and the back projection method, the test area imaging is obtained, which is represented by a set of small local areas.
Using this data set, three-dimensional reconstruction of the internal structure of the tested object can be carried out.
The amplifier, in block 7, has a system for the time corrected gain to compensate for the reduction of the signal amplitude at the receiver due to the different distances.
[11] D.Potts and al., Fast Fourier transforms for nonequispaced data: a tutorial in modern sampling theory: mathematics and applications, J.J Benedetto and P.J.S.G.Ferreira (Eds.), Applied and Numerical Harmonic Analysis Series.