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In aprotic solvents like unbuffered DMSO, AQDS undergoes two reductions in the cathodic scan (peaks C1 and C2) corresponding to two single electron reductions to give mono- and di-anions (AQDS à AQDS. - à AQDS2-) and two corresponding oxidations in the anodic scan (peaks A1 and A2), which involve the loss of an electron in each one (AQDS2- à AQDS.- à AQDS) (7, 8).
The values of E½ vs SCE, for the first and second reduction stages (estimated from the mean values of the CV peaks were -0.801 V and -1.249 V respectively, which are in agreement with the literature (8).
The difference between reduction potentials peaks (EC1 – EC2) corresponding to AQDS. - and AQDS2- formation, respectively, (and also their counterparts EA1 – EA2), was approximately 0.44 V.
Ep values of Peak 2, corresponding to monoanion reduction (AQDS.- to AQDS2-) show a shift towards the most negative potentials, and a similar behaviour is observed in its anodic counterpart.
Summary of electrochemical data.

The simplified model is obtained through modal reduction to form the controlled plant of the active control.
The essential of modal reduction is that those modes with subordination contribution are eliminated and those modes with bigger contribution are reserved.
Basic data employed in the numerical study are as follows: the material density is , the elasticity module is , the Poisson ratio is 0.3, the dynamical friction coefficient is 0.15 and the bolt pretightening displacement is 0.5mm, the direction of which goes along the bolt shank.
Then modes reduction is processed through selecting the three main modes in PSD curves.
b) A simplified model is obtained to make up the controlled plant after model reduction.

Nearly monodisperse Au NPs with mean diameters of 2-6 nm are acquired via the reduction of HAuCl4 by NaBH4 in the presence of tri-n-octyl amine and dodecanethiol in solvent of toluene.
Data for Gold Nanoparticles Num HAuCl4/Toluene (mmol/ml) NaBH4/Water (g/ml) Mean diam and Deviation (nm) a 20/10 0.020/ 0.5 2.2±1.25(56.8%) b 20/10 0.010/ 1 2.0±0.75(37.5%) c 20/10 0.0025/ 1 7.6±6.81(89.6%) Figure 1 shows TEM images and UV-vis spectra of Au NPs prepared by varing concentration of the reducing agent.
Generally, increasing temperature can accelerate the solution diffusion and the reduction of gold ions because molecular collision frequency increases.
As chance for Au atoms aggregating is in corresponding with the speed of the reduction, the mean particle size grows with the increase of the reduction speed.

This study shows that the smaller pores contained in the composite results in sharp reduction of thermal conductivity, when the porosity is up to 2.66 vol.%, the thermal conductivity of composite is found to decrease by about 9.02%.
On comparison, the results obtained from the FEA are closer to the measured values of effective thermal conductivity for composites with low porosity (roughly below 6%), when exceeding this value, the FEM predictions are slightly higher than experimental data.
And the other possible reason is that the pores congregate preferentially to the interfaces between Al and SiCp, which lead to a marked reduction of the interfacial bonding and introduces additional thermal barriers, resulting in the reduction for the measured composite conductivity.
FEA shows that the pores contained in the composite results in sharp reduction of thermal conductivity.

A chemical plant in vinyl acetate synthesis reaction as the object of study, based on site data collection and mechanism analysis to determine the auxiliary variables on the basis of on-site data processing, through a combination of genetic algorithms and neural network combined to build a synthetic reaction model.
For this optimized BP Neural Network Based on Self-adapted Genetic Algorithm, by comparing the simulation data obtained by the instance of the digital signal proved that this method has better prospects than traditional neural network algorithm.
Pressure As the vinyl acetate synthesis reaction of acetylene and acetic acid is a volume reduction of the reaction, so in theory to increase the pressure on the synthesis is advantageous.
Furthermore, because most of the gas is recycled, the conversion rate of the acetylene is only about 10%, in terms of the entire system, the reduction in volume is limited.
According to the mechanism of the reaction process, the on-site production process monitoring data and auxiliary variable selection principle, consulting scene process operator, decides that the input layer of the neural network including temperature, pressure, space velocity, and molar ratio.

The data was compared with simulation results.
Since the difference is insignificant, it can be said that the data is valid.
At the beginning and at the end of the chart the data has not convergent yet, but in the middle the data make a steady line.
To ensure the validity of the result from finite element analysis, the experimental data was compared to the simulation data.
Both validation data is taken at the wall casing and the difference is about 6-40 mT.

The results were compared with the experimentally measured data, which confirmed the accuracy and applicability of the method.
Very good agreement can be observed between the model predictions and the actual data.
The reason is that the reduction of mold temperature leads to a more significant reduction of parameter k in elements closer to walls, i.e. element A, which with respect to equation 5, will finally result in a higher increase of end time of curing for element A compared with element B.
The applicability of the developed model has also been verified by the comparison of the calculated state of cure profile with experimentally measured data.

These results can be used as reference data for ship design.
These results will provide reference data for ship design by determining the optimum protection potential with regards to hydrogen embrittlement and stress corrosion cracking.
The cathodic polarization showed concentrated polarization caused by the dissolved oxygen reduction reaction and activation polarization caused by hydrogen generation.
The current density in the passivity range of the anodic polarization curve was greater than that in the dissolved oxygen reduction reaction range of the cathodic polarization curve.
For the cathodic polarization of 5456 Al alloy, the turning point between concentration polarization due to the oxygen reduction reaction (O2 + 2H2O + 4e → 4OH ) and activation polarization due to hydrogen gas generation (2H2O + 2e → H2 + 2OH ) was approximately -1.70 V (SSCE) in our tests.

The Database of Facilities Asset Management Application in the Disaster Reduction – Case Study of Ching Yun Building in Ching Yun University Ruei-Hung Shiu1, a, Po-Hsun Sung2,b, Jyh-Dong Lin2,c, Hao-Hsien Chen3,d and Li-Rung Jeng1,a 1No.229, Jianxing Road, Zhongli City, Taoyuan County, Taiwan, R.O.C. 2No.300, Zhongda Road, Zhongli City, Taoyuan County, Taiwan R.O.C. 3Department of Civil Engineering, National Ilan University, Taiwan, R.O.C.
Asset management system demands data such as the goals set in the opening, the list of assets to create and manage systems, and performance indicators and final set of program planning and evaluation, etc.
To assess management platform is vulnerable or not, and improve the risk assessment about the software and hardware. [4] First, the study combines the business information systems and related inventory data of Ching Yun University.
Second, the important meetings of competent department confirm the priority order aim on the important system or data analysis.
Center, "Disaster risk management and vulnerability reduction: protecting the poor," 2001

Solar energy is a potential source for hot water and has been an important measure for energy savings and carbon reductions [1-5].
The blue and red data are solar heat gains and backup energy, respectively.
The carbon emission reduction can be calculated according to this equation Qco2=⊿Qsave*Y*Fco2/(W*ηw)= 94142.68×0.866×44÷(29.3×0.6×12)=11.4t；the carbon reduction for each household can be estimated by Qco2/18=11.4T/18=634KG.
Zhu, “Enhanced Supervision Strategies for Effective Reduction of Building Energy Consumption-A Case Study of Ningbo,” Energy and Buildings, vol. 43, pp. 2197-2202, 2011