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Only a few of the electrons (e‾) and holes (h‏+) migrate to the surface of the catalyst where they initiate of oxidation and reduction reactions.
Average crystallite size of TiO2 was estimated according to the Scherrer's equation Eq.2 [6], and the data are presented in Table 1
Fig. 2: absorbance spectra and band gap (Eg) of TiO2 nanoparticles at 400oC The direct band gap (Eg) of the sample is determined by fitting the absorption data to the direct transition equation: αhν = Ed (hν - Eg )1/2 (3) where α is the optical absorption coefficient, hν is the photon energy, Eg is the direct band gap, and Ed is a constant.

E0 = 1000(1), 800(2), 500(3), 200(4), 100(5) keV; points are for estimated data, continuous lines are approximations Fig. 1.
Approximations of the modified section of cascade and probability function for carbon in iron E0 = 1000(1), 800(2), 500(3), 200(4), 100(5) keV; points are for estimated data, continuous lines are approximations Fig. 2.
Depth distribution profiles of vacancy nanoclusters in the course of ion beam irradiation for nitrogen in iron The factual findings show that with primary particle initial energy reduction the range of the result area is displaced to the right, radiation defects concentration values increase.

In order to ensure reproducible data, contamination during storage should be avoided under all circumstances.
Furthermore, to ensure authentic analysis data, all biological or chemical reactions of the sample must be stopped for the entire duration of storage.
It is induced by the accumulation of biological contaminants which can cause a reduction of performance and result in inaccuracies.

As a result of the computer in real time data processing, so it can be the angle error of a limit in the range of.
Each frame axis is connection with reduction gear and the torque of the motor axis.
Software contains / angle, angle / number of system self-test, the I / O control, heading and attitude angle for a given system, heading and attitude angle measurement system, three-axis servo system control and data and error handling. 2.

Results of analysis and fitting of datum The results of FEM analysis were displayed in table 1.
Due to automatic data-collection system, the resilient displacement corresponding to various level of loading at three temperatures was easy to obtain.
The test datum of several typical specimens was showed in table 4.
Table4 Resilient displacement corresponding to various level of loading at three temperatures Resilient displacement corresponding to various level of loading at -10℃ 0.1P 0.2P 0.3P 0.4P 0.5P 0.6P (7.23-2) 0.321699992 0.414575025 0.503725022 0.58842498 0.669650018 0.75027499 Resilient displacement corresponding to various level of loading at 0℃ (7.21-8) 0.255425006 0.326549964 0.413175047 0.494400024 0.580599963 0.67487502 Resilient displacement corresponding to various level of loading at 15℃ (7.23 -4) 0.178300083 0.236775041 0.287799955 0.358999848 0.445075035 … Noted: ①The ultimate loads P at three temperatures were different from each other: P was 32.0523kN at -10℃, 23.0505kN at 0℃, 10.1139kN at 15℃ ②Symbol 7.23-2, 7.21-8, 7.23-4 represented the number of specimens Fig. 3 Relationship curve between and Data processing and analysis Data processing Because the supposed performance was different from the actual performance of asphalt mixture, the measured resilient displacement
Analysis After data processing, the resilient moduli of asphalt mixture at three temperatures were got and shown in table 5.

In the case of very thin sheet, since the fracture is generated at a low strain, there is not enough uniaxial data obtained to be applied in the FE simulation.
The reason for this is that charactering plastic deformation at a large strain values by extrapolating a flow stress curve which is based on insufficient measurement data is highly susceptible to error.
Since material data can be obtained up to a higher strain using the bulge test, it is possible to avoid an excessive extrapolation of the flow stress curve in the numerical analysis [8].
The copper sheet was cold rolled and each thickness (35 and 50 μm) possessed 68% and 50% thickness reduction.
The flow stress curve of very thin copper foil was extrapolated using a linear combination of two approximation models based on relatively sufficient material data by means of the aero-bulge test.

Fig. 2(a) displays the data gathered on the effect of pH level on %Zn removal efficiency, which is presented as the average of two replicates.
The data show that both U-SCBB and SH-SCBB have the highest %Zn removal at pH 5.
The Temkin isotherm model correlated with the data at an R² value of 0.90.
The data gathered showed a similar equilibrium time at 60 to 75 min.
Isotherm and kinetic studies supported the findings, with Dubinin-Radushkevich and Pseudo-Second Order models best fitting the data, highlighting physisorption as the predominant mechanism.

For this calculation model, it can be got by calculating with geological data and the design drawings: taken the pile cap bottom as maximum scour line, l0=0m, elastic modulus of concrete , the parameters of auxiliary pier pile base and pylon pile foundation are list in Table 1.
Put the data into the formula 2, it can be obtained respectively: embedded depth of auxiliary pier pile and main tower pile both in the range of 3 to 5 times of the diameter, while modeling take embedded depth of auxiliary pier pile H=6m; embedded depth of main tower pile H=12m.
Conclusion Through analysis self-anchored cable-stayed suspension bridge of two calculation modes between consolidation bottom of tower and considering pile-soil-structure interaction, we can obtained the following conclusions: (1) Because of reduction of integral rigidity of structure, while vertical seismic inputting, longitudinal displacement of middle main span and main tower top decrease obviously; with a 31% decreasing amplitude in the middle of main span and a 13% at top of tower

Introduction Supercritical fluid extraction is promising for extraction of bioactive species from natural produces, because of its less consumption of organic solvents, reduction of extraction time, being suitable for thermo sensitive substance, production of cleaner extracts and environmental benignity [1].
The time-dependent yield may be expressed as the functions of the flow-rate of the extraction fluid and the void volume of the extraction chamber by taking into consideration that the full recovery could only be achieved after an infinite time of extraction, resulting in [10] (1) where β is the DLT model parameter and can be regressed from the experimental data.
The regression has been performed by minimizing the average absolute relative deviation (AARD) between the calculated and experimental data.

Using EMD, any of the original data series can be decomposed into intrinsic mode functions and a residual, , in which for j=1,…, m are IMFs of the original signal , and is the residue, which is the mean trend of the signal.
Chen: Complete data of shaking table test on a 12-storey reinforced concrete frame model, State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University (2004)