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Data Collection.
In the untreated specimens, the three important peaks were recorded in the spectra and used for data analysis.
Laser effect on the reduction of Raman intensity ratio of CO32/PO43 and CH2/PO43 peaks of enamel and dentine.
Our data indicates that after laser treatment the loss occurred on organic component is at higher proportion than that of inorganic component, the organic component losses were 38.6% in enamel and 7.0% in dentine while the loss at inorganic component was 7.4% in enamel and 2.9% in dentine.
Summary The present study has demonstrated the reductions of the organic and inorganic compositions of dental hard tissues after Er:YAG laser irradiation using FT-Raman spectroscopy.

The application of TWBs has several advantages in the manufacturing of auto panels: low cost, less scrap, reduction of car weight, and flexibility for component design in mass production.
Weight savings have a marked effect on a vehicle's efficiency, with research showing that a 1% reduction in vehicle weight can result in a 0.6-1% reduction in fuel consumption[2].
HyperForm Create FEM model Set boundary conditions Generate input file for solver Solve Result files HyperStudy Extract result data Get new design variable HyperMoph Customized Optimizer Obtain responded value Optimizing policy New design variable Fig. 2 Framework of the optimization program To achieve suitable weld line offset value on the blank of TWBs, a FEM model is created for simulating and a entirely analysis is done with the model.
Then the design variables and responds are extracted by HyperStudy, which can translate the data to external customized optimizer.
Create FEM model Set boundary conditions Initialize the design variable Generate input file for solver Solve( lsdyna ) Result data Optimizing Constringency？

Although AIT is indispensable for safely handling and operating flammable substance, the AITs data are, however, very much diverse in different data compilations.
Data, 2010, 55, 5059–5064. (6) ASTM International.
[9] Design Institute for Physical Property Data (DIPPR), DIPPR Project 801 Pure Component Data public version.
[10] Design Institute for Physical Property Data (DIPPR), DIPPR Project 801 Pure Component Data public version.
Zalosh, J.Casey, “Autoignition Temperature Data and Scaling for Amide Solvents.”

Particle size data can therefore be generated from an analysis of the fluctuations in scattered light intensity.
Figure 5: Mechanism of gold ions bio-reduction.
Table 1a: UV-Vis data obtained for AuNPs produced from fresh Nauclea latifolia leaves and gold chloride under neutral pH 2.
Table 1b: UV-Vis data obtained for nanoparticles produced from dry Nauclea latifolia leaves and gold chloride under neutral pH 3.
Table 1c: UV-Vis data obtained for nanoparticles produced from nauclea latifolia leaves under varying pH Table 1a: UV/Vis Data Obtained For AuNPs Produced from Fresh Nauclea latifolia Leaves and Gold Chloride under Neutral pH.

Existence of density data significantly increased the accuracy of processing of experimental data of viscosity.
In addition for industrial production, it is often not rather simple to obtain reference data about properties of an alloy.
For this reason, when developing new technologies it is necessary to use experimental data.
The automatic system of data collection allows to do one measurement in one minute.
The points taken at reduction of temperatures are painted over by the black.

In order to determine these parameters, the data presented in Ref. [12-14] were used (Table 2).
First, the calibration parameters, including the coefficient qMn in Eq. 2, were determined on the base of the data for steels A36 and DQSK.
Secondly, the coefficient qMo was determined on the base of the data for DP steel (Fig. 3).
Effect of austenite deformation An analysis of experimental data shows that austenite deformation leads to a significant reduction of the energy barrier for the ferrite nucleation at grain boundaries [17,18].
A comparison of the modeling results with experimental data for the X80 steel is presented in Fig. 5.

And O3 stress caused an acceleration of caducity that might be in part responsible for the reduction of photosynthesis.
Reductions in stomatal conductance, net photosynthetic CO2 assimilation, photosynthetic rate, chlorophyll content and carboxylation efficiency have all been associated with O3 stress[5], and thus eventually slowing down total biomass growth rate.
All data were subjected to statistical analysis of variance (ANOVA) using SPSS 11.5 for Windows statistical software.
Chla content had a maximum reduction of 22.58% under O3-1 and 23.97% under O3-2 respectively compared with CK.
Compared to CK, Chl(a+b) content had a maximum reduction of 12.44% under O3-1 and 5.61% under O3-2 respectively.

This phase precipitated by the reduction of CaO leads to the refinement of a microstructure and improvement of tensile properties at elevated temperature similar to the Ca added Mg alloys.
The tensile properties value of Ca or CaO added alloys especially UTS value is reduced because of β-phase reduction which contributes to room temperature strength of the alloys.
This phase precipitated by the reduction of CaO leads to the refinement of a microstructure and improvement of tensile properties at elevated temperature similar to the Ca added Mg alloys [5, 6].
Also as can be seen in data CaO added alloys have superior high temperature performance compared with Ca added alloys.
This phase precipitated by the reduction of CaO leads to the refinement of a microstructure and improvement of tensile properties at elevated temperature similar to the Ca added Mg alloys.

The phase change materials (PCM) based cooling system have gained recent popularity with PV module temperature (TPV) reduction.
Al-Waeli et al. [8] introduced silicon carbide (SiC) nanoparticles into a PCM to enhance the PV temperature reduction.
It is expected that nc-PCM with a higher thermal conductivity could enhance PV temperature reduction and, consequently, module efficiency. 2.
Consequently, values of parameters are average data. 3.
Sukchai: Investigation on Thermal Absorptivity of PCM Matrix Material for Photovoltaic Module Temperature Reduction.

The data in Fig. 1 imply that the saturation time of the VC formation at 1850 °C is less than the studied ones, i.e., thermal equilibrium for the VC concentration is established within less than 5 min.
Data are included both from the present work (1850 °C) and a previous study of isochronally annealed samples [3].
In Fig. 2, the average VC(-2/0) peak amplitude extracted from Fig. 1 is compared with data from isochronal treatment performed in Ref. [3].
Characterization of the second set of samples demonstrates a reduction of the VC concentration by lowering the cooling rate.
These data imply formation of VC in the bulk as the dominant process and not Schottky formation at the surface with subsequent in-diffusion.