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Previous analyses are consistent with a four-electron reduction of O2 to OH – [12].
The reactivity for O2 reduction increases systematically with nominal burn-up through the SIMFUEL series.
Figure 1: Diffusion-corrected currents for O2 reduction on SF3 (●), SF1 (□), SS2 (x), and SS1 (o).
Hydrogen Peroxide Reduction Figures 3 and 4 show Tafel plots for H2O2 reduction on SS1 and SF3, respectively, for three different [H2O2].
Data Vol.12 (1983), p. 163

The as-cast samples with 30 volume percent liquid content were rolled in mushy state down to 2.5 and 5 percent reduction in thickness per pass.
Plates soaked at each of the three temperatures were subjected to 2.5 and 5 percent reduction in thickness, at a constant roll surface velocity of 0.283 ms -1.
The mushy state rolling parameters of liquid content and reduction were chosen, since alligatoring could be avoided.
The specimens were subjected to multiple rolling at the same temperature with similar thickness reduction till the seventh roll-pass.
The height loss data was converted to volumetric loss by multiplying with the height loss with area of cross section of the test pin.

This test has shown the adequacy of the model to real data.
Training of a neural network was provided on the basis of a database which included daily data of furnace operation parameters.
By the repeating training with a variety of actual data, sequential approach to the optimal values of the weights took place.
The adequacy of the model was tested using data which were not included in the training set.
Actions of considered factors on the coefficient of burden resistance are characterized by the data given in the Table 1.

The glass transition temperature (Tg) and isothermal physical aging was depressed by the reduction of film thickness.
One of the noticeable changes with the reduction of film thickness is the reduction of the glass transition temperature (Tg) of polymer thin films relative to the bulk unless strong interactions with a substrate are present [1-3].
The decrease of Tg with film thickness reduction is well known in many publications [1-3].
The Tg reduction at thinner films can be explained in this way.
DHRelax vs. ta data in Fig. 5 were curve-fitted with a KWW equation.

Compared to TAF, SAFD can utilize the endogenous carbon source of WAS to denitrification, which achieved higher sludge reduction.
The data of a typical cycle (the sixth cycle since the beginning) was given below.
Estimate of WAS reduction.
The SS and VSS variation of two systems could directly represent the level of fermentation and sludge reduction.
Along with the reduction of denitrifiers in the late period, the concentration of VFAs had a slight rebound.

Data sources.
Data of this study obtained from a survey of 186 farmers from 13 production teams across the entire Shuanghe Farm during the summer of 2013.
Furthermore, data processing and analysis were completed by SPSS17.0 and Excel 2007.
We sincerely thank participating colleagues (Xinghua Zhu )and farmers for their assistance and cooperation during data collection.
Carbon footprint of China's crop production-An estimation using agro-statistics data over 1993–2007.

Fig. 2(a, b) show the Normal Probability plot and Pareto chart of the standardized effects for the hardness data having a confidence level of 95%.
Fig. 2 (c, d) show the main effects plot for the mean values of hardness (HB) data in terms of (SHT T0C), Cold work after SHT (CWASHT), Pre-aging Temperature (PA T0C), Pre-aging time (PA t h), Aging temperature (AT0C), Aging time (At h).
Fig.2 (e, f) show the interaction plot for the mean values of hardness (HB) data in terms of different combination of factors.
(2) (a) (b) (c) (d) (e) (f) Figure 2 Factorial and ANOVA Plots (main effect plot and interaction effect plot) (a, b) Normal Probability plot and Pareto chart of the standardized effects for the hardness data having a confidence level of 95%.
(e, f) Interaction plot for the mean values of hardness (HV) data.

According to the analysis model, in case of keeping same energy efficiency of device, the higher technological level increases, the easier the R increases; even if keep the same melting and heat treatment devices, significant reduction of production energy consumption would be implemented just depending on the production yield increase.
Russian scholar Fromme claimed that by restructuring the production can lead to a 30% reduction in energy demand through case study [5].
Based on the melting devices nowadays in China is basically cupola in cast irons production, according to the data from many plants and enterprises, the average energy consumption volumes for melting and heat treatment are 50% and 30% of total consumption respectively.
Figure 2 Relationship between yield increase and unit energy consumption reduction The current average process yield in Chinese cast irons production is about 65~80%, reject rate is 9~14%, and the corresponding data abroad are 80%~90% and less than 5% respectively.
Therefore, even if keep the same melting and heat treatment devices, significant reduction of production energy consumption would be implemented just depending on the production yield increase.

At each vertical line, water quality parameters such as dissolved oxygen (DO), salinity, turbidity, pH value, electrical conductivity and oxidation reduction potential (ORP) were realtimely measured with YSI 6600 V2-4-M multi-parameter water quality sonde.
Variation trend of turbidity at surface and bed layers in flood plain is identical, and the point data are almost same.
We can easily see from the Figure that there is no distinct discrepancy in the conductivity in main channel each cross-section streamwise, all point data overlap one another.
Fig.4 Variation in electrical conductivity Oxidation Reduction Potential Fig.5 shows that streamwise variation of the ORP at surface, intermediate and bed layers in main channel.
Fig.5 Variation in oxidation reduction potential Salinity of Water Body As mentioned above, Fuchunjiang and Hangzhou reaches refer to tidal river.

The comparison with experimental data shows that this method can well forecast the absorbing properties of absorbing material.
Calculation based on Eq.2 were also carried out, and the obtained results are compared in Fig.2 with those data from reference 12.
In some cases, the exponent in Eq.2 can be treated as empirical data.
Fig.3 Real permeability comparing between the modified calculation and experimental data Fig.4 Imaginary permeability comparing between the modified calculation and experimental data Shown in Fig.5 is the reflection rate calculated from Eq.2 and the measured reflection line.
Fig.5 The reflection data of calculation and experiment.