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The unit weight of the concrete decreased with an increase of PCM reduction of up to 4.6% at 30% micro-PCM content.
Unit Weight The experimental data reveals that the unit weight of concrete reduces when PCM is added to the mixture, as depicted in Fig. 4.
This corresponds to reductions of approximately 1.9%, 3.4%, and 4.6%, respectively, relative to the control sample.
This represents a reduction of approximately 26.2%, 39.3%, and 49.2%, respectively.
As PCM content increases, peak temperatures decrease, with the 7.5% PCM mix showing an 8.3% reduction, the 15% mix a 16.7% reduction, and the 30% mix a substantial 25% reduction, indicating the PCM's effectiveness in absorbing and moderating heat.

By frequency spectrum analysis before noise reduction and after noise reduction, Identify the source of main noise, points out relative elements gears 26/54, and presents some methods to decrease the noise: the methods of gear correction, improving the vibration resistance of mechanism, reducing noise in the view of process and control noise transmission.
(a) (b) (a) Noise frequency spectrum analysis before noise reduction (b) Noise frequency spectrum analysis after noise reduction Fig. 2 The analysis of the frequency spectrum Frequency spectrum analysis and results The meshing frequency calculation for each pairs of gears in transmission chain.
Ying, Waveform and Frequency Analysis and Random Data Processing, (China Railway Publishing House, Chinese, 1985) [2] P.

The XRD data show the changes of the structure and phase composition of titanium dioxide thin films due to the nitrogen doping.
The reduction of crystallites size takes place at the increase of the nitrogen concentration.
For the phase analysis of the thin films the PDF-4 database of International Center for Diffraction Data (ICDD) was used.
The data calculated from XRD measurement for nitrogen-doped TiO2 films are shown in Table 2.
The crystallites size reduction with the increasing of the nitrogen content agreed with our previous calculations with cross-sectional method from SEM data [17].

On the basis of similarity conditions, laboratory model parameters were determined so that data acquired for the model may be referred to real-world structure.
Steel slender structures usually have small internal damping ratios and that is why they are frequently equipped with vibration reduction systems.
It is very important if model to be built will serve as a basis for synthesis of active or semiactive vibration reduction control system.
Considering the fact that the model will be used for study of vibration reduction system placed at tower’s tip, the proposed solution will be satisfactory.
[9] Vensys Energy Ag, 2011, Vensys 1.5 MW Platform, Technical Data, www.vensys.de [10] J.

How to play the advantage of gradient data, improve the detection effect, is a subject for gradient data processing and interpretation need studying.
Magnetic data are often acquired on an undulating surface.
Most existing techniques for data enhancement and interpretation require data on a horizontal plane, the reduction of observed magnetic data values on an arbitrary surface to a level plane is necessary before quantitative analysis.
Analytic signal and Euler deconvolution method are also require data on a horizontal plane.
Reid et al. (1990) developed the 3D Euler deconvolution, operating on grided magnetic data[5].

Vibration amplitude data in X(Red) Y(Green) Z(Blue) axis(at l=3 cm).
Vibration amplitude data in X(Red) Y(Green) Z(Blue) axis(at l=4 cm).
Vibration amplitude data in X (Red) Y (Green) Z(Blue) axis(at l=5 cm).
Vibration amplitude data in X(Red) Y(Green) Z(Blue) axis(at l=6 cm).
Vibration amplitude data in X (Red) Y (Green) Z(Blue) axis(at l=7cm).

Step 3: In the third step, the data normalization takes place according to the Equation 2.
Initially, all the data is gathered to develop a parameters vector, known as particle as per the PSO viewpoint.
Therefore, normalization of the data became mandatory to carry out further analysis.
In the second step, normalization of the data was done using VIKOR method.
In this step, first the data was converted into matrix form using Eq. (1).

The reduction of nanosized Ni powders with the catalyzed and electromagnetism material property was successfully prepared by this novel synthetic approach.
XPS data was measured with American PHI-5300/ESCA with Mg Kα radiation as the excitation source and the binding energy of C1S (284.6 eV) was used as a reference.
The XRD pattern of the first step products shows that they are cubic phase of Ni(OH)2 according to the data of the JCPDS file No.01-1047 (see Fig.2(a)).
With the PHI 5300 XAES data of the zero-valence nickel EbNi(2P3/2) =852.2 eV, the nanosized nickel powder is in a zero-valence state.
[5] Wang C., Zhang X.M., and Qian X.F., Preparation of nanocrystalline nickel powders through hydrothermal-reduction method, Mater.Res.Bull., 1998, 23 (12): 1747

Generally, the experimental data for isotropic materials are interpreted using the von Mises yield criterion [2].
Generally, the experimental data reduction and F.E. analysis of bulging of isotropic materials is done assuming that the plastic behavior can be modeled with the von Mises yield criterion; for the classical analytical solution for the stresses and strains at the pole of a hemispherical bulge, see Young et al [5].
For example for the aluminum alloy AA 6016-T4,and while the elastic properties are: E = 69 GPa and (see benchmark data and information on this material reported in [7]).
For this reason, it is crucial to accurately predict the reduction in thickness.
Conclusions It is generally assumed that for isotropic materials, the effect of the third invariant on yielding does not affect the response during forming, so the von Mises yield criterion is used for data reduction and analysis of simple forming tests such as bulging under pressure.

NiO nanoparticles had a similar effect on membrane integrity as that observed for inhibition of cellular metabolic activity, with a significant reduction in membrane integrity.
All data were presented as means±standard deviations and were tested for statistical significance using analysis of variance processed by statistical package Origin (version 7.5).
Data were tested at significant levels of P< 0.05 using one way ANOVA.
No significant (P>0.05) difference compared to the control could be detected for the other exposure concentrations, but viability reduction was 80% at 25.0mg/L for NiO nanoparticles.
A larger reduction in viability was observed for membrane integrity than for mitochondrial activity at all exposure concentrations.