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The data obtained from simulations suggest that in the nanocomposite comes from oxidation of the copper oxide Cu2O to CuO.
The energy position of this peak corresponds to the carbon-oxygen-C-O-C and double (C = O, O-C-O) bonds [18], which corresponds XPS data.
In contrast to pure nanoparticle significant increase of CuO phase and reduction of Cu2O phase were observed.
Newville, ATHENA, ARTEMIS, HEPHAESTUS: data analysis for X-ray absorption spectroscopy using IFEFFIT, J.
Marin, In-situ XAS study on the Cu and Ce local structural changes in a CuO–CeO2/Al2O3 catalyst under propane reduction and re-oxidation, J.

The characteristic of this machining process in theoretically capable to reduce tool wear, cutting force and based on current experimental analysis had shown significance improvement on surface finishing and reduction in tool wear.
In the present work, comparison data had been done based on conventional and advanced machining process in the scope of wet and dry machining on AL6061-T6.
Hence, modern machining process has the ability to enhance the tool’s life, improved surface integrity and reduction in cutting forces.
This data proven a theory that high vibrating frequency cannot effectively improve the machining accuracy.

A Framework for Novelty Detection in Jet Engine Vibration Data David A.
Off-line (ground-based) analysis of engine vibration data using these data structures is presented in Section 3.
Domain-Specific Data Description Fundamentals of Jet Engine Operation.
Note that, after dimensionality reduction, graph axes are unitless.
Fig. 4 - Setting novelty thresholds by modelling data density.

In a World Bank Report, Dasgupta, Zhang, Wheeler and Huq (1996) use data collected from factories in Beijing and Tianjin to evaluate the likely cost effectiveness the levy system would have in abating industrial water pollution.
The statistics form the foundation for understanding the data that we collected from our primary research, that is, from interviews conducted with government officials, industry managers, consultants and academicians.
As for the regression analysis, due to the limited availability of time-series data for Beijing, we decided to create two separate regression models.
The Model Summary section describes the success of the overall model in predicting levels of pollution for Beijing, and from it we can see that the in-depth Beijing model was a reasonable approximation of our data.
In other words, if Beijing were to reduce its share of heavy industry or state-owned industry, we would expect a reduction in pollution.

Economic costs and loss reduction and energy saving should be taken into account when choose a transformer.
Accurate energy savings can be obtained by this algorithm without data collection during baseline period, all the need are parameters of transformer and energy loss during reporting period, thus the measurement and verification procedure has been simplified.
(3-1) After renovation or replacement, energy loss of original transformer under new load situation can be calculated with original transformer parameters and new load data, as shown as formula (3-2)
(3-2) As for energy loss of new transformer during reporting period, it can be obtained via data from meters or other measurements, or can be calculated by formula (3-3)
Loss reduction and power efficiency improvement of distribution transformer [J].

The deformed state and fully recrystallized state have been analyzed and compared with data obtained eight years ago.
Introduction A sample of cold rolled copper was deformed to 70% reduction and a part of it was recrystallized in the year 2000 [1].
SE reduction for S and Goss (G) components is smaller but visible.
The most important reduction of SE value is observed for rotated cube (Rwd) component.
Modeling of Recrystallization Using Monte Carlo Method Based on EBSD Data, Materials Science Forum, vol. 408-412 (2002), p. 395 [3] K.

The formation of Cu-Ti causes a delayed reduction of the residual resistivity ratio (RRR) and adversely affects the deformation behaviour of the strands.
The sample was heated in a dedicated furnace in flowing He + 4% H2, and rotated during data acquisition.
Temperature and strain effects were taken into account, especially when interpreting high-temperature data.
Data were acquired from 90°C to after 15 minutes at 900°C, at five-minute intervals.
Data were logged at ten-second intervals.

The reduction process was carried out in a green chemistry fashion way using ascorbic acid as reduction agent.
(c) Photograph of PET-rGO films after reduction process.
As expected, the data shows significant decrease in the surface resistance of the films with the increase of the concentration of GO.
Allafchian, Green reduction of graphene oxide by ascorbic acid, 2018
Guo, Reduction of graphene oxide vial-ascorbic acid, Chem.

These results would be helpful for designing cutting elements on crop harvesting, biomass size reduction and other processing machinery.
Of the gross energy supplied to most hay-cutting devices, only a small portion is actually required for the size reduction as the rest is wasted due to inefficiencies.
Hence, size reduction is considered to be one of the most energy-intensive or energy-inefficient operations [6].
The data for bionic saw is lower than that of traditional saw which suggests that the bionic saws possess advantage for cutting corn stalk, at least of reduction of cutting force.
Yet in order to obtain more accurate force-displacement data in this study, it was inevitable to mainly focus on linear saw blade cutting corn stalk at a quasi-static speed in this study.

The obtained data were averaged to obtain the final test results for all samples.
Sear, Quantitative studies of crystal nucleation at constant supersaturation: Experimental data and models, Crystengcomm 16 (29) (2014) 6506–6522
Lee, Nanofluid PCMs for thermal energy storage: Latent heat reduction mechanisms and a numerical study of effective thermal storage performance, Int.
The International Centre for Diffraction Data 2003, PCPDFWIN 2.4
Wu, PCM in water emulsions: supercooling reduction effects of nano-additives, viscosity effects of surfactants and stability, Adv.