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Electrochemical characterizations demonstrated that MnCoNiZnCuPBA@NCA exhibited superior oxygen evolution reaction (OER) and oxygen reduction reaction (ORR) performance, as evidenced by its high current density, low overpotential, and excellent Tafel slope.
In the configuration of Zn-air batteries, the cathode plays a critical role in the electrochemical processes, including the oxygen reduction reaction (ORR) during energy release and the oxygen evolution reaction (OER) during recharging.
The Koutecky–Levich (K–L) equation was used to calculate the electron transfer number using LSV data collected at different rotational speeds (400, 900, 1600, 2500, and 3600 rpm).
Both materials demonstrate good reversibility characteristics or quasi-reversibility, as shown by the symmetry between the oxidation and reduction peaks.
This indicates that these materials follow the 2-electron oxygen reduction reaction mechanism as described below [4].

The Ag nanoparticles are usually prepared by chemical reduction of silver salts in the aqueous solution.
Most often may be reduction moderated by e.g. sodium borohydride, sodium citrate or glucose.
The first Aghb is a colloid which is prepared by reduction with sodium borohydride.
Second AgCit was obtained by reduction of silver salts using sodium citrate.
The other characteristic (data do not shown), which describes differences among the colloids, is chemical composition of ions/compounds on the surface of the nanoparticles.

It has some advantages, such as good fault-tolerance ability, strong classification power[2], but in the case of large quantity of data, it has some problems which are long time training, slow convergence speed and unstable system.
Although the database of vein image has being filtering de-noising and normalization processing, the data dimension is still huge.
PCA method is used to decrease the image's data dimension and get the image of characteristic matrix.
Commonly it uses k-Means clustering algorithm to cluster all the input data.
This testifies that PCA algorithm reduces the data dimension of sample image, but retaining the important aspects of the data, enhancing the recognition rate of RBF algorithm and reducing the training time.

Primary sources of data will include among others Google Scholar, Scopus, Web of Science, Science Direct and ASCE Library.
Examples of research data from FEMA and other seismic local institutes in the area of study will also be incorporated into the study.
Technical papers and scholarly periodicals will be the sources of data.
Evaluating these approaches' efficacy, viability, and suitability in diverse seismic contexts is the aim. 4 Experimental Data Review The goal of this project is to gather and assess experimental data on liquefaction-minimizing techniques.
Surveys and published articles on the behavior of soil before and after earthquakes are among the data sources.

It was suggested that ammonium was the finial product during the reduction of nitrite by SSI.
On the other hand, there were few of literatures about research on reduction product of nitrate by zero-valent iron.
The main objectives of this study are: (i) to draw the E-pH diagram of Fe-N-H2O system to analyze the potential reduction product of nitrite by zero-valent iron, and (ii) to investigate the reduction product of nitrite by SSI through static state experiment.
Utilizing the thermodynamic data, the E-pH diagram of Fe-N-H2O system could be plotted and shown in Fig. 1 when the initial speciation of nitrogen was nitrite in solution.
We estimated preliminarily that ammonium generated through reduction of nitrite could escape from solution as the gas form of ammonia.

Study on the influence of key factors in Sichuan Province energy conservation that based on the fixed effect model Ce Chen1,a,*, Xingqi He2,b 1State Grid Sichuan Nanchong Power Supply Company, China 2State Grid Sichuan Electric Power Company, China achencezi@163.com, bhayes_goodman@hotmail.com Keywords: Energy saving and emission reduction; Panel data; Fixed effect model; Sichuan Province Abstract.
According to Sichuan Province 2006~2012 21 local power and energy consumption panel data, on the basis of the analysis of the electric consumption and energy consumption, the relationship between economic growth, unit GDP energy consumption and unit GDP electricity consumption, the relationship between the electricity consumption and energy consumption in the industry and the region, established analysis model of measurement of time individual fixed effects model.
In 2010, the unit GDP energy consumption did not fall but rise to the widening gap between the two to 6.33 percentage points, and the GDP electricity consumption elasticity coefficient is greater than 1, the historical data shows that the absolute disparity of Sichuan, energy consumption per unit GDP and unit GDP energy consumption fell by more than 5 percentage points is consistent with the objective reality.
Analysis of key factors affecting energy consumption Index selection and data processing.
[3] Wang Zhigang: The panel data model and its application in economic analysis (Economic Science Press, Beijing 2008).

It offers lots of useful tools for discovering patterns hidden in data in many aspects.
It can be used in different phases of knowledge discovery process, like attribute selection, attribute extraction, data reduction, decision rule generation and pattern extraction (templates, association rules) [19], etc.
The core and reduct are important concepts of rough sets theory that can be used for attributes reduction and data reduction.
We have Data reduction is an important step in knowledge discovery from data.
The user can have different views of its data by varying different parameters in the range .

Based on the investigation data of mercury (Hg) in bottom waters in Jiaozhou bay in 1979 to 1985 (in absence of 1984), this paper tried to analysis both of the settling processes and settling mechanisms of Hg.
Based on the investigation data of mercury (Hg) in bottom waters in Jiaozhou bay in 1979 to 1985 (in absence of 1984), this paper tried to analysis the both of the settling processes and settling mechanisms of Hg, and to provide basis for pollution control of Hg.
Data source.
The data was provided by North China Sea Environmental Monitoring Center.
Hence, the improvement of recycle rate and the emission reduction of Hg should be the major pollution control strategies in Jiaozhou Bay.

Simulation of Thermomechanical Control Processing for the definite cross-section of profile by Finite Element Method on the base of the data obtained by the experimental planning method allowed to predict structure and mechanical properties and to develop computer modelling for the different cross-section of rolling profile.
Simulation of TMCP for the definite cross-section of profile by Finite Element Method (FEM) on the base of the data obtained by experiment planning method allowed to predict structure and mechanical properties and to develop computer modelling for the different cross-section of rolling profile.
Data from the measurements of 20-30 sections had been used to plot the distribution curves.
As a result of the data processing regression equations describing the dependence of the yield strength (YS) and fraction recrystallized (R) on the TMCP parameters were obtained for the experimental material and given region of the factorial space.
Under three factors ( 33 ) experimental planning data treatment instead of time factor it will take part other one, conforming to the start of rapid cooling billet temperature which in actually is quenching temperature.

Abstract In the paper, the particle morphology is considered and the slices of phase diagrams of nanosystems agreeable to the synthesis conditions are constructed according to the data obtained earlier by authors, as well as new results of the study of nanostructured Fe-Co, Fe-Ni, Co-Ni, Fe-Co-Ni, Fe-Pt, Cu-Ni and Ni-Cd powders.
It is selected optimal synthesis conditions for each system (reagents concentration, an excess of reducing agent, temperature, duration of the process, pH) [10–13], when the following conditions are satisfied XRD analysis of NPP shows the absence the phases of metal oxides and hydroxides and the total oxygen content does not exceed 3 – 5 wt. % according to data of elemental analysis.
Calculated on results of the method of small-angle X-ray scattering (SAXS) [14] curves of particles distribution in size (Fig. 2a) correspond to microscopic data.
Phase composition and energy saturation of NPP The isothermal slices of phase diagrams (PDS) of NPP built according to the XRD data have common features: PDS correspond with the phase diagram (PD) of alloys at high temperatures (unique for each system), but not at NPP synthesis temperatures (Fig. 3, 4) [10–12].
Reduction is carried out without difficulty, but the intermetallic compound FePt3 is formed (richer in platinum).