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Minimal sizes of ordered (matrix) and disordered (voids) regions were calculated based on the obtained PAS data.
Based on the PAS data, in particular, the positron (τ2) and positronium (τ3) lifetimes, as well as the intensity of their annihilation (t2, t3) and annihilation rate constants (k2, k3), the authors of [5] found disordered and ordered volumes per 1 cm3 and the number of annihilations in 1 cm3, which allowed calculating the positron and positronium ‘trap’ volumes according to the formula: Vspec , Å3 (3) where Nps – the number of positronium Рs annihilations in 1 cm3; Ne – the number of positron е+ annihilations in 1 cm3.
Results and Discussion PMPS structures (Fig. 1) were determined based on element analysis data and spectral data: they were similar to the structures of layered phyllosilicates [6].
Analysis of the Table 2 data allowed suggesting that SPPV determined the intensity of electrostatic interaction between the spherical particles, while SPPM determined that of electrostatic interaction between the chains within the polymer particle.
This can be explained by a volume reduction of the voids, in which the lubricant can be contained, so under the friction conditions at boundary lubrication it prevented a seizure between the conjugated surfaces (reduced an adhesive component of the friction force).

The data recorded on the 7th channel is processed with Hilbert transform, and the result is shown in lower panel of Fig. 2.
Because the block processing is executed on the beam output waveform, the data P(1) after 50s cannot be acquired.
While in Fig. 4(c), the second principal component data P(2) is obtained, which is obviously different from the data P(1).
The data P(2) contains the information of acoustic field aberration caused by the intruder, which is not existed on the absent of the object.
The proposed method needs further verification with the sea trial data.

This data was later logged in to the National Instrument software via data acquisition (DAQ) card NI-6009.
The data gained from the experiment will be compared to the calculated data from the simulation.
The data were logged using National Instrument NI-DAQmx software and NI6009 DAQ.
In general, the simulation result and the experimental data had similar trend and close value.
However, there are still gaps between the data that could be corrected by a correction factor.

The library of thermodynamic data contains data for both reaction products and reactants.
All data in this library are for species in their standard state at a specified temperature.
Thermodynamic data for many individual species can be conveniently stored, for use with computer programs, in the form of coefficients associated with equations that reproduce the data as described below: cp0rr=a1T-2+a2T-1+a3+a4T+a5T2+a6T3+a7T4 (1) H0(T)RT=-a1T-2+a2LnTT+a3+a4T2+a5T23+a6T34+a7T45+b1T (2) S0R=-a1T-22-a2T-1+a3LnT+a4T+a5T22 +a6T33+a7T44+b2 (3) Note that b1 and b2 are integration constants.
In addition, the authors have entered these newly generated data into the CEA software for the first time, making possible the theoretical calculation of palm oil combustion by CEA.
Crude Palm Oil (CPO) Combustion Analyses by CEA CEA calculates the combustion of elements and compounds using the initial data and by determining the type of analysis that is needed to proceed.

It also can solving definite integral value, undertake integral curve, data point curve fitting (empirical formula), etc.
For the measured the area of the graphics, measurement, before the actual graphic data compression in the range domain, without the permission of the values measured area, with A two-dimensional hausdorff measure formula[4] (,is scaling ) was carried out on the actual data reduction, to get the value of the area of the measured graphics.
By two variables, several groups of experimental data to find out the function relation between the two variables or function curve (empirical formula), the commonly used method is to set the function first, and then through the method of curve fitting approximating function, that is, from the arrangement of data points is to determine the function type, containing function expression of the undetermined parameter Settings, reoccupy and undetermined parameter approximation method, experience formula.
The experimental data is set a variable , with,, .
Using dynamic measurement methods, we give concrete method of integral curve, curve interpolation function approximation of the measured data point to solve the problem.

Dedicated processing software has been developed to allow for quantitative extraction of data such as solid-liquid interface morphology, local propagation velocities and constitutional gradients from the images.
The data collected also contain unprecedented in-situ observations on dendrite fragmentation.
Aggregate filtering, followed by linear contrast operations and noise reduction, gave a unique liquid data set that could be used for quantitative analysis, such as the contour maps in Fig.1.
From analysis of the full data sequence, it can be seen that due to liquid flow, substantially more solute piles up to the right than to the left, causing a large difference between the primary arms regarding their constitutional tip undercooling.
Such methods can be of importance in solidification science and provide data and observations on real systems and occurring phenomena.

This study is the beginning of attempts to obtain existing data of estrogens contamination in wastewater treatment plants (WWTPs) in Bangkok Metropolitan area.
However, the results in January 2011 showed very low concentrations though this period should reperesent for dry season according to rainfall data as well.
The explanation for this occurrence were still unclear and required more monitoring data for analysis.
During the March 2010 sampling, estrogens concentrations in all the samples were significantly higher than the data reported in other countries.
Monitoring data in surface waters in Bangkok area should be further investigated.

The parameters of the model were calibrated with measured data of the water depth, flow and water quality in Yuncheng reach of the Fen River.
In addition to the measured data of depth and flow rate of Liuquan section while the flow is 3.05m3/s in 2010, June 29, we got the major parameters in hydrodynamic model.
The data of outlets within the reach is shown in table 2.
According to the hydrologic data in 1988- 2009 of Chaizhuang and Hejin hydrologic station we chose 8.54m3/s as the flow value of normal year (P=50%), and 5.33m3/s for dry year (P=75%).
In this study, the corresponding degradation coefficient k was fixed according to the flow rate, for lacking of necessary data in relevant frequency years.

Each set includes three specimens, and the average value of the three data was computed as the final result.
Method of Grey Relational Analysis Data Pre-processing.
Based on the above reason, ahead of implementing the present analysis, data pre-processing of transferring the original sequence to a comparable one is required [4].
In this study, the raw data were transformed into dimensionless forms by initial-value pre-processing.
As there are too many relational coefficients to be compared directly, further data reduction makes use of average-value processing to convert each sequence into its mean.

Such models based on building vulnerability often have high requirements for data.
Many models must be backed by complete data concerning building classification and population distribution.
The data on the buildings can’t be updated in time.
The death data of the four earthquakes are collected from official publications[27-30] (Table1).
The result shows that the three empirical models still have large errors compared with actual data.