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The ASR data decreased from 1.68 to 0.645Ωcm2 with the increase of steam contents, while steam content had little effect on ASR data in SOFC mode.
Reduction of NiO-YSZ into Ni-YSZ was accomplished in situ. at 850˚C.
It can be seen that ASR data decreased from 1.68 to 0.645Ωcm2 with the increase of steam content from 20% to 80% correspondingly in SOEC mode, while steam content had little effect on ASR data in SOFC mode.
Fig.3(a) showed the microstructure of hydrogen electrodes after reduction.
The ASR data decrease from 1.68 to 0.645Ωcm2 with the increase of steam contents.

Subsequently, predictions of heat release rate, as well as NO and soot emissions are compared with experimental data.
Experimental data are available for these engines [1].
The predicted cylinder pressure trace falls in very good agreement with the experimental data.
Conclusions The software created meets the requirements (combustion modelling), i.e. to estimate the in-cylinder pressure with a 2-5 % error from the measured data.
Accurate data is need for the calibration of model constants.

Within this research framework the present paper will concentrate on aluminium and aluminium alloys deformed by rolling from medium to a maximum strain of εvM = 6.2 (99.5% reduction in thickness).
In the analysis of the EBSD data a lower threshold of 2º has been used in the misorientation angle and for consistency this threshold has been used for both deformed and annealed specimens.
The change of texture during annealing as determined from the EBSD data is reported in Table 2 as the volume percent of rolling texture components (S, copper and brass components), random components and the cube component.
The texture data show that for both CR4 and ARB6 the fraction of rolling components only decreases from about 80% to 60 - 70% after high temperature annealing.
Samples cold rolled to higher strains up to εvM = 4.5 (98% reduction in thickness) have also been examined in recent experiments [12], which show conventional recrystallization in AA1200 with one exception.

sources In this study, a wealth of data (see Table 2) was adopted to estimate the water services for ecosystem and their economic value in Luan river basin.
The data types include meteorological data, soil data, vegetation data, Social public data and other data from publication literatures.
Table 2 Parameters or data adopted in this paper and their sources Data type parameters or data sources Meteorological Data Temperature，Precipitation, Relative humidity, Wind speed, Atmospheric pressure, Sunshine duration, Diffuse Radiation, Vertical and direct radiation China Meteorological Data Sharing Service System Vegetation data leaf area index in initial years, Remote Sensing Image(LANDSAT, MODIS) Vegetation coverage Vegetation type vegetation distribution map Soil data Soil texture feature, Soil volume moisture content Soil survey data, soil database and site investigation Social economic data Timber，Fruit，Aquatic products，Recreation，water supply National economic and social development of statistical yearbook, Water Conservancy statistical yearbook Other data other publication literatures Results and Analyses Magnitude of water direct ecosystem services in Luan River Basin Magnitude of water direct ecosystem services The water direct ecosystem services, which include biomass
So forest ecosystem services of the Luan River Basin are approximately calculated by comparing the area of Luan River basin and Hebei Province according to the data of Hebei Province forestry resources.
The services of water purification, Air purification, Climate regulation and Biodiversity conservation could not be evaluated because of the lack of related data.

It has been reported that even Ni-based contacts formed in the n++ region exhibited a steep reduction of contact resistivity in an annealing temperature range > 900°C.
This reduction cannot be explained by the carbon vacancy induced donor model (Vc model) proposed by Han and his coworkers [Appl.
We speculate that this inconsistency was caused by a misinterpretation of XPS depth profiling data.
Summary Ni-based (TLM) contacts formed in the n++ region exhibited a steep reduction in contact resistivity with annealing at TA > 900°C.
The carbon vacancy induced donor model cannot well explain this reduction.

When in reasoning and decision-making of the new data using the multiple level rules set, match the information of the new data with the rule of its corresponding node.
With the minimal decision rule, we can make decision to the new data.
In order to obtain classified ability to the noise and abnormal data, improve the capacity in the classification of new data, and give the maximum possible solution to problems as much as possible when all the information is not complete,this article adopts the following steps to extract multiple level rules set model: l Write original data in the form of a decision table.
After the above steps, extract the rules of various levels from the original data.
Then match the current data attribute values with rule set of the node.

The decreasing in strength is defined as the ‘‘Group Effect’’ reduction.
Applied axial load and overall specimen deformation were recorded every second during the test using data logger.
(c) Effect of screw spacing on Multiple Screw (b) Effect of Screw Spacing (a) Effect of Number of Screws Figure 2: Comparison of Data Conclusion The experiment carried out in this study demonstrated that connection strength increase proportionally to the number of screws in connection with no significant group effect reduction although multiple screws were used in connection when the screw spacing more than 3d.
However the connection strength decreased and show some group effect reduction when the screw spacing is less than 3d.
Bhd. for providing the test specimens and Ms Tang Su Yii for test data collection and laboratory work.

High-purity methane is used as the reductant in the reduction stage of CLC while air as the oxidant in oxidation stage.
Data in reduction–oxidation TGA tests is directly obtained as a sample weight evolution as a function of time.
These weight data can be transformed into conversion data by using the following equations [6]: For reduction: (1) For oxidation: (2) Where is the actual mass of sample, is the mass of the sample fully oxidized and the mass of the sample in the reduced form.
Similar steps can be found in the reduction stage of these three curves both in Fig. 3 (a) and 3 (b).
Meanwhile, as the flow rate increases, the end time of both reduction and oxidation stage was brought forward.

The efficient reduction of VC-related Z1/2 sites upon thermal treatment is further proven by a significant increase of the minority carrier lifetime from 0.3µs to 1 µs, the upper limit apparently set by epilayer thickness dependent lifetime.
Note a substantial surface recombination effect followed by little changing lifetime distribution throughout the epilayer evidencing the long-range efficiency of the defect reduction method applied.
The lifetime parameters were deduced from the decay transients of the band-edge emission (around 390 nm) from the selected regions of interest (ROI) on the cross-sectional plane using standard imaging spectroscopy procedures to integrate data from spatial, spectral and time domains.
DLTS results demonstrating reduction of the carbon vacancy (VC) concentration to a level below the detection limit (~1011 cm-3) by annealing under C-rich ambient conditions at 1500 °C for 6 hours.
The effective reduction of the VC-related Z1/2 lifetime killer sites upon thermal treatment is confirmed by a significant increase of the minority carrier lifetime from 0.3µs to 1 µs, the upper limit apparently set by geometrical factor, i.e. epilayer thickness dependent lifetime.

The effects of bending force, reduction and transverse friction on the strip profile and edge drop have been discussed in this paper.
The effects of bending force, reduction and transverse friction on the strip profile and edge drop have been analyzed in detail.
The edge drop is expressed as hIhJeh −= , where Assuming: Start Input Data 1Cvx =∆ 0=∆ yv Set for the edge row of slabs . 0=yσ )( nj = Solving Eq. 1 and Eq. 3 to obtain the pressure distribution for row( j ) obtain neutral point j<1 Calculating: by Eq. 2. )1( −jyσ No Calculating the strip velocities according to Eq. 6 and Eq. 7 Correcting the frictional coefficient by Eq. 4 and Eq. 5, and flattening roll radius by Hitchcock's formula ε<∆R Output results End Yes No Yes Fig. 4.
The edge drop increases with reduction as can be seen in Fig. 14. 16 18 20 22 24 26 28 30 6 7 8 9 10 11 12 13 µ=0.06 Fb=0 C2=0.1 Edge Drop, µm Reduction Rate, % Fig. 14.
The calculated results indicate that the edge drop decreases with increasing bending force, decreasing friction and reduction.