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All of the temperatures getting from the system were consistently recorded using a data logger.
To quantify the uncertainties of measurements, the reduced data obtained experimentally were determined.
The uncertainty in the data calculation was based on Ref. [8].
Data reduction The independent parameters are Reynolds number (Re), the number of twisted tapes (N),twist ratio (y/w) and twisteddirections.
The measured data are in good agreement with the correlation’s data.

Section 2 describes model and data.
Methods and Data Preparation SDA Model.
Data Preperation.
Energy consumption data by sectors in 1997 and 2002 is obtained from [10], and we use the same method and net caloric value (NCV), combing with related data from China Energy Statistical Yearbook of 2008, to estimate the each sector’s energy consumption of 2007 in China.
The large reduction in energy consumption was mainly contributed by the reduction of energy intensity from 1997 to 2007, and it contributes -279.16%.

However, it could be used to achieve precise navigation (partially realized by precise data given from magnetometry), as well as the new space vision concerning magnetic mapping of the planet surface for mines-ores and the subsequent finding and exploitation of important sources of ores for the needs of Earth.
So, distance scaling could be implemented, by defining different techniques to use measurement data from multiple distances and extrapolate the magnetic field in larger distances.
Using the simulated data for the induced magnetic field and its gradients, also an inverse problem can be set, in order to identify the status of the magnetic sources as well as the positioning of the magnetometers.
In reality these field measurements, instead of the simulated data, can be used as input in inverse engineering techniques, which could assist in estimating the positioning of a magnetic mass.
For the verification of methods, modelling will be followed by magnetic signature studies, so as to allow the consideration of measurement data of magnetic field and its gradients as a primary data input.

XRD was used to identify the phases present after each calcination experiment (Philips ARD 1700, Cu Kα radiation) and the data was analysed using two types of software, 'PANalytical B.V., X'Pert Highscore', and 'Philips Analytical X- Ray ProFit'.
For 'standard' powders there was a progressive reduction in α from 1.32 at 850 o C to 0.53 at 950 °C.
Table 1 - ICP (powder) elemental analysis compared to calculated data.
The analytical data shows that control of lithium content poses the greatest processing problem at > 850 °C.
Analysis of the SEM data showed that both 'standard' and 'excess' powders displayed the cuboidal particles typical of many other niobate-based ceramics.

“Trial” is stand for the data from the wind tunnel, “protective” and “un-protective” is stand for the data from CFD in having and not having protective devices.
Fig. 6 Curves of Cd Fig. 7 Curves of Cl Fig. 8 Curves of Cmz We can see from the figure that the data from CFD tally well with the data from wind tunnel.
The drag coefficient’s reduction is because of the reduction of windward area.
“Trial” is stand for the data from the wind tunnel, “protective” and “un-protective” is stand for the data from CFD in having and not having protective devices.

[2]Sam T，Roweis and Saul K L．Nonlinear dimensionality reduction by locally linear embedding．
Laplacian eigenmaps fordimensionality reduction and data representation[J]．Neural Computation，2003，15(6)：1373—1396

Currently, there are several methods of copper nanopowders production: thermal reduction method, sonic-chemical sedimentation, powder synthesis by metal vaporization, chemical reduction, vacuum sedimentation from vapor phase, radiation methods, microemulsion method and laser ablation.
The specific surface area of Cu nanopowders was determined by the low-temperature nitrogen adsorption method (BET method) with the use of Sorbtometr M specific area and porosity analyzer, which is supplied with the software that automatically calculates the said parameter on the basis of the experimental data.

Using Scherrer’s formula, crystallite sizes were calculated for ZnO crystallites obtained using different oxidation times and this data is presented in Table 1.
As oxidation time increases, carrier concentration or number of oxygen vacancies decreases but at the same time mobility increases by reduction of grain boundary scattering.
The decrease in the slope of I-V plot with increase in the annealing duration indicates reduction of electrical conductivity.

The influence of the average density and degree of sintering on the strength of the ceramic material is characterized by the experimental data given in Table 1.
Quantitative comparison was carried out by the variables: - water-reducing effect (2) - reduction of water demand (3) The results of calculations of rheological indicators of the effectiveness of Na-containing additives in the suspensions of the gaize are presented in Table 2.
Reduction of the density of ceramics by 35...40 [%] relative to full-bodied bricks, having a density of 1600...1700 [kg/m3], naturally reflects on the increase in water absorption to 32 ... 44[%].

The process of elemental sulfur reduction by anaerobic sulfidogenic thermophilic microorganisms Desulfurella acetivorans, Desulfurella kamchatkensis are used as the source of H2S [3].
Results of the study on 10 CIL conditioning cycles Cycle Solution Concentration, mg/L Recovery, % Reagent consumption Сu NaCN Cu to concentrate NaCN into solution Au on carbon NaCN, kg/t H2S, kg/m3 0 Feed 4667 500 - - 65.5 25.2 - 1 Before 4667 500 55.1 54.8 63.9 9.3 0.89 After 2097 3110 2 Before 4874 360 89.9 89.6 62.9 8.5 1.51 After 492 4810 3 Before 5139 1070 86.4 86.1 67.9 6 1.53 After 699 5579 4 Before 5076 570 96.6 96.3 63.5 5.8 1.69 After 175 5548 5 Before 5013 590 94.2 93.9 65.1 5.7 1.63 After 291 5385 6 Before 5200 713 92.3 92.0 66.2 5.8 1.66 After 401 5587 7 Before 4997 487 89.8 89.5 66.7 5.9 1.55 After 510 5044 8 Before 5018 584 89.4 89.1 64.9 5.8 1.55 After 531 5141 9 Before 5103 956 95.1 94.8 63.8 5.8 1.68 After 250 5884 10 Before 5094 691 90.7 90.4 67.2 5.8 1.60 After 474 5383 As the data shows, CIL conditioning technology provides a reduction of sodium cyanide consumption, from 25.0 to 5.8 kg/t.