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On the surface of the more positive alloy, these excess electrons are consumed by a cathodic reaction that, in seawater, is usually oxygen reduction.
The individual behavior of coupled alloys Fig.1 shows the self-corrosion potential data plots of TA2, B10 and 921A.
Potential data plot at 25°C of TA2, B10 and 921A Fig.2.
Fig.3 shows, as an example, the galvanic potential and the galvanic current density data of 921A, B10 and TA2 members immersed in natural seawater at 25℃ during 240h.
According to this result, anodic dissolution of iron takes place on the surface of 921A as anode, oxygen reduction reaction occurs on the surface of the B10 and TA2.

As experimental data are unavailable, the model is validated by comparing the predicted entropy generation history with that from the detailed analytical model of Dash et al. [2].
The predicted non-dimensional entropy generation per unit surface area (Ṡ¢/d¢2) shows a slight drop in the initial stages due to the reduction in entropy generation rate and the low rate of change of droplet surface area (see Fig. 2a).
A similar dip in Ṡ¢ is seen in the data provided by Dash et al. [2] for a vaporizing water droplet.
Although the entropy generation rate falls (see Fig. 2a) after about 40% of the liquid has vaporized due to the drop in heat and mass transfer rates, the consistent reduction in surface area again causes Ṡ¢/d¢2 to rise in the later stages.
Data Monogr. 9 (1998) 1-1951

According to the data, this variant is less energy intensive than smelting reduction processes of the entire volume of the slag without prior restorative procedures.
These data in general correspond to culculated parameters.
The chemical composition metallic part of the melt after liquid-phase recovery (composition excluding carbon) The type of slag in the initial mixture The content of component in received metal, [wt. %] Fe Cr Ni Mn Cu The initial nonmagnetic 87.68 7.56 4.45 0.31 - The initial magnetic 89.40 5.22 4.92 0.46 - Non-magnetic, prereduced at 1200 °C 88.95 4.84 6.21 - - Magnetic, prereduced at 1200 °C 89.09 5.91 3.54 0.52 0.94 The obtained data confirm previously conducted in vitro studies on liquid-phase recovery of slag melt [3, 4] and demonstrate the effectiveness of recovery components of slag coke carbon (graphite) and gaseous environment that includes carbon monoxide.
Eremyashev, Solid-phase reduction of waste products in steelmaking, Metallurgist. 56 (2012) 91-96

Samples are taken for 3 times to analyze the vapor-liquid equilibrium data by using titration with 1M HCl.
An increase in cyclic capacity will lead to decreased absorbent circulation rate thus leading to the reduction of the overall capital and operating costs and resulting in the decrease in carbon dioxide capture cost.
Summary In this study, the vapor-liquid equilibrium data of CO2 in aqueous solution of 2-MAE and 3-AP are investigated in term of CO2 loading capacity in comparison with MEA solution.
This means that an increase in cyclic capacity can lead to the decrease in energy requirement for solution regeneration and liquid-circulation rate, leading to the reduction of the overall capital and operating costs and resulting in the decrease in cost of carbon capture.
Data Vol. 37 (1994), p. 96 [8] H.

Introduction Along with more and more extensive application of the Internet , the control and management of the Internet is also put forward new demands, such as the implement in the network security measures and implementing quality of service(QoS)control.These are need for network monitoring and implementation of certain operational status of network measurements to measure the status of network operation which can be measured in differentnetwork parameters, but in a variety of measurement methods, the sampling is the most commonly used, which rely on sampling some of the data to estimate the present state of the network[1].However, in the actual process of sampling, there will be leakage sampling situation, for example, a fixed sampling algorithm in N is a message selected 1 message, to flow collection.
Flow measurement as meet specific attribute network message in a clustering method, which not only can satisfy the fine-grained network management needs in the data storage and data processing and also has a better advantage.
g) Network overview Analysis of the flow of information which is stored in the server to the reduction of the corresponding network at the sampling rate.
The flow sampling method based on the application group, firstly identifing the received packet and getting the packet corresponding to the type of application; according to the type of application to the message is sent to the corresponding application packet sample space, and record the number of packets is sent to sample space of the application group; the number of packets reaches a preset sampling value, determines the message for the sampled message; analyzing the sampled message flow information acquisition, and the flow of information is sent to the server, so the server stores the flow information ( five yuan ), network overview analysis flow information stored in the server., to the sampling rate for the reduction of the corresponding network.The sampling method for the received message identification, and identification of messages are sent to the corresponding application packet sample space, then, for each individual sample space sampling.

Bias Reduction in Kernel Estimation of the Density Function of Cotton Fiber Length Yuheng SU a Guangsong YAN b (Henan Institute of Engineering, Henan, Zhengzhou, 450007, P.
According to Lin and Yan’s work, the kernel function is chosen as: （2） Due to the data tested be grouped, the kernel estimation function is revised as: （3） Where ,k is the group number, is the length of the i-th group, and .
Mixed Distribution Model Suppose that a population A is consists of the data from K different populations, and the distribution functions of these populations are,the probability of an arbitrary data in population A is taken from the i-th population is Pi, then the distribution function of A can be expressed as: （4） This expression is called mixed distribution function, accordingly, the probability density function is: （5） Where fi is the density function of the i-th population[8].

Omitted data, analysis, and related discussions can be found in [24].The elastic modulus has been evaluated adopting the ultrasonic time of flight technique, according to the following equation: Vl=E1-νρ1+ν1-2ν (1) being Vl the ultrasonic longitudinal speed, ρ the density and ν the Poisson ratio of the processed material.
The Poisson coefficient has been assumed, considering reference data, as 0.33.
The application of the conventional contour method is based on four consecutive steps: specimen cut, acquisition of the relaxed surface, data reduction, and stress computation.
Experimental data relative to both halves of the cut specimen (Fig. 1) have then been combined and processed in the MATLAB environment, in order to fit the experimental data to a smoothing surface.
The following data refer to four test cases, as indicated in Table 1.

It is well-known that seismic disaster will cause serious damage, so the prediction and evaluation of seismic loss before earthquake event happened can provide foundation of disaster reduction program.
Macroscopic Vulnerability Model Based on GA-ANN 2.1 Collection and Pre-processing of Sample data From ref.4 -5, we picked out 80 sample data about the loss estimation results of earthquake which happened at different seismic intensity zones.
Normalizing the input-output data sets between certain ranges is an important step, this improves input-output generalization to yield accurate forecasts.
In this paper, eq.2 is used to normalize the raw data, after such pre-processing, the convergence time is significantly shortened
The data about seismic intensity, population density, per captia GDP and unit area GDP were input to the well-trained ANN model, the results as shown in tab.3 showed the output of the loss ratio of different areas, thus the estimation result could obtained.

These results are compared with the experimental data measured in the same test conditions of another SiC power device already introduced to the market.
As can be seen, in this case the improved channel conductivity modulation fine balances the carrier mobility reduction up to a VDS of about 0.3 V.
This barrier is lowered by increasing the value of VDS as well as increasing the temperature as an effect of the reduction of the built-in potential at the gate-channel junction.

Anisotropic effects are measured by analysing tensile tests data for the specimens from 0o, 45o and 90o rolling directions of thin sheet of 0.8 mm thickness.
Reduction in test speeds at room temperature results in a significant variation in the deformation behaviour of an alloy, Fig. 4(a).
It is also observed that reduction in test speeds at room temperature results in a significant variation in the deformation behaviour of magnesium alloy and at higher temperature, 200oC, no significant change in deformation behaviour is observed at two different test speeds.