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Data of Fig.3 and 4 have similar appearance in the composition range from 0 to 90 mol% ZrO2.
Data of pure ZrO2 in Fig. 4 shows mixed state of tetragonal and monoclinic phase.
But, data of Fig.3 shows almost tetragonal phase only.
The mechanism of the large OSC is speculated as uniform dispersion of CeO2 and ZrO2 in the material from the XRD data.
And, it is confirmed by EDS data of FE-TEM.

Image Analysis can be used in conjunction with numerical modelling to validate computational data with results from experiments and is often inexpensive and easy to utilize.
The compressive load and extension was recorded by a data logger from which the characteristics of the samples are listed (Table 1).
The image analysis software utilized is ImageJ, a public domain Java image processing program able to serve many functions such as editing, analyzing, calibrating and processing image data [12, 13, 14].
The result of the ImageJ® analysis is exported to MATLAB® where a script extracts the data and plots the trajectories.
A MATLAB® script was then used to export the data and plot the trajectories.

Literature review results and the data available on Malaysian oil industry were used in the analyses.
The aim of life cycle impact assessment (LCIA) is to shed more light on the LCI data.
To obtain the indicators of the environmental impact categories, the inventory data are multiplied by characterization factors (CF) (Eq.1) FI=i(jEj or Rj×CFi , jNFiWFi) By weighting, the different effects (e.g. global warming or energy depletion) are evaluated based on the order of potential harm to environment caused by them.
Moreover, the comparative LCA of palm oil biodiesel production(1627.748kg Co2eq/ton)along with combustion (760 kgCO2eq/ton)[15] and extraction and combustion a tonne of fossil diesel (4,224 kgCO2eq)[19]shows 43.5%reduction of emission of GHG.
Suzuki, Reduction of methane released from palm oil mill lagoon in Malaysia and its countermeasures, Mitigation and Adaptation Strategies for Global Change.8 (2003)237-52

According to modern data, the effect of ionizing radiation on a living organism can manifest itself in the long term.
Research methods included: analysis of known scientific and technical results; standard methods for studying the properties of building materials and gamma-spectrometric analysis of the effective specific activity of NRN; dosimetric and radiometric methods for determining dose loads, and processing of experimental data using mathematical statistics.
It includes data from gamma spectrometric measurements, which give a complete description of the radioactivity of building materials.
Thus, it became possible to manage the reduction of radiation characteristics in the region.
Table 3 presents the data characterizing the average annual effective equivalent dose (EED) of irradiation of the population of Russia due to background irradiation.

The reduction of both parameters, maximum value of magnetic entropy change and relative cooling power, was observed in La0.7Sr0.3MnO3/Ta2O5 composites with the increasing of Ta2O5 concentration [7].
The data was analyzed by the Rietveld method using the FULL-PROF program.
The as-obtained value of TC for the pure LSMO sample is 358 K, which is in well agreement with the literature data [4-8].
(a) Magnetic entropy change with respect to temperature at H = 1 T (inset shows the same data for H = 9 T) and (b) RCP evaluated for different fields for (1-x)LSMO/xGeO2 (x = 0, 0.15).
The maximum change of the magnetic entropy for pure LSMO gives values of ΔSM closed to the literature data from Ref. [5] and less than the literature data from Ref. [21] and [22].

The simulation program consists of three main parts: a module of data input and preliminary calculations, a simulation module, and a module of analysis of the results.
Computations were based on sets of input data, consisting of the information on all the parameters included in the model (which were defined during the identification process carried out at two test stands – shown in Fig. 2).
(1) The reduction is several dozen percent over the whole range of rotational speed investigated in each checked accuracy class.
Figure 9) showing the comparison of the RMS values of the transverse vibration velocity (of the gear wheel shaft – point D) measured experimentally at the FZG test stand and those obtained from the model and presented as a function of the rotational speed prove the alignment of the simulation and experimental data.
On this basis it can also be concluded that forces in the bearings obtained from the simulation correspond to the forces occurring in the real gear, and can therefore be used as input data for FEM models of the housing.

Fließbach et al. [12] reported reduction in activities of soil enzymes in soil with high heavy metal availability in added SS.
Another data [13] demonstrated that microbial biomass and enzyme activities decreased with increasing heavy-metal pollution.
Obtained data was processed using single or two-factor ANOVA analysis.
Values within data marked by different letters have statistically significant differences.
The data obtained on 2nd of September (45th day of vegetation) shows that plants that have the fastest growth have a significant nitrogen deficiency (SSP+NPK).

Simultaneous thermogravimetric (TG) and differential thermogravimetric (DTG) analysis data were obtained on a TGA/SDTA851e thermoanalyzer at a heating rate of 5 °C/min under constant flow of 30ml/min of N2 atmosphere.
Eq.1 is the fundamental expression of analytical methods to calculate kinetic parameters on the basis of TG data.
The straight lines in the figures of ~1/T show linear fits to the data.
The experimental data α and T were substituted into the Coast-Redfern and Αchar equations, respectively.
If we can combine the results with the thermal analysis data from the multiple scanning rate method, it will be able to comprehensively and accurately reveal the complex nature of the solid-state reactions in the different stages.

Of the available data, half of the cases was used to modify the network weights in the learning process by creating a set of learners.
Spent the rest of the data to evaluate the prediction errors during learning (25% of the data - a set of validation) and to an independent determination of the correctness of the network after it has been created (25% of the data - a set of test).
On the basis of data made regression fit is R2=0.92 and standard error of 28.1.
Due to the serious inaccuracies resulting from regression analysis it was decided to analyze the data using a neural network.
The correctness of the results is highly dependent on the proper preparation of a representative set of experimental data, the use of simplification or even miss some data.

In consideration of the randomicity of both mechanical parameters of rock and structural plane and resistance of slide resistant piles, reliability index of slope stability was established with the aid of discretized dimensional reduction method of reliability and conditional probability.
BAYESIAN ESTIMATION OF PARAMETER In design stage, investigation and testing data are always limited, but the accurate estimation of geological parameters requires substantial data.
A fair estimation can be secured by Bayesian method, integrating the subjective judgment based on intuitional experience or indirect information with observation data.
The lab result ε is a group of observation data x1, x2, …, xn, which stands for a random sample of the population X from its density function fx(x).