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The research adopts the professional analysis software GaBi developed German PE International Company and localizes the data.
The main sources of data are Buwal, Ecoinvent, PE-GaBi and PlasticsEurope, as well as the data from global geographic, European chemical industry ecological impact and package materials.
The product or process chain model establishment, data analysis and balance calculation is based on life cycle inventory (LCI) database.
When conducting inventory analysis, the electric energy data are based on the above energy ratio.
That is the key part of energy saving and emission reduction approach.

Huang developed a very promising revolutionary spectral data analysis technique based on the Hilbert transform.
A set of the data is got in a grinding process, more than 200 data sets are generated in present work.
Before training the neural network, the elements of data sets should be normalized between 0 and 1.
Results and Discussion In order to train and test the network, the whole data sets are separated to two groups at random, 85% data sets for training and 15% data sets for testing.
The training data are never used in the test data.

Inhibition Efficiency of MO extract by Comparing DPPH to the Sample Absorbance DPPH Ascorbic Acid MO Leaves Extract Trial 1 0.4500 0.0006667 0.3357 Trial 2 0.4500 0.001667 0.3337 Trial 3 04530 0.005667 0.3357 AVE 0.4510 0.002667 0.3350 SD 0.001732 0.002646 0.001155 % Inhibition 99.41 25.71 The data from Table 2 highlights MO extract’s superior ability (0.3350 ± 0.001155) to scavenge free radicals compared to ascorbic acid (0.002667 ± 0.002646), despite a lower % inhibition efficiency.
The sharpness and position of the peak indicate the successful reduction of silver ions (Ag+) to metallic silver (Ag0) nanoparticles during the synthesis process in the presence of MO extract.
The values of Rs and Rct are greater in the solution containing a corrosion inhibitor, suggesting a reduction in the corrosion rate and corrosion process.
Cdl was calculated using the CPE and a phase angle constant obtained from experimental data through the fitting of the equivalent circuit model from figure 9.
Key findings show a marked reduction in corrosion current density (Icorr) and a corresponding increase in inhibition efficiency, demonstrating that MO-AgNPs significantly slow the corrosion process.

To achieve sustainability in manufacturing the gear pumps, the design team should follow some key objectives, like: material saving, waste reduction, minimizing energy consumption, maintaining economic efficiency, etc.
The reduction of the gears modulus will decrease the bearing capacity of the micropump by reducing the geometrical volume between two consecutive teeth.
Linear alignment of the axis of the micropump gears ensures a reduction in bearing loads and a uniformity of the forces acting on the teeth flanks.
In order to evaluate the specific flow rate of the re-designed micropump with a new gear pair, there were considered the following data extracted by measurements from the 3D model: section of the gap in the normal plane (4.606 mm2), and in the frontal plane (4.727 mm2), the length of the cylindrical helix considered on the pitch cylinder of the gear (l = 9.05 mm = the tooth length on helix) corresponding to the gears width (b = 8.9 mm).
Pantazis, Reduction of delivery fluctuation and optimum tooth profile of spur gear rotary pumps.

Evidence collected over the past decade suggests that malaria epidemic remote sensing relates to single image or data resource.
The measurement data from ground checking site is usually used to correct the error produced by RS image interpretation.
Several types of images at multiple orbits and local statistical data are available in the modeling system.
The statistical data of malaria epidemic is a pseudo-data in which more images and data work cooperatively to perform a measurement that has better performance that neither of them is capable of arriving at by itself.
Durrant–Whyte: Data Fusion and Sensor Management: A Decentralized Information–Theoretic Approach, Ellis Horwood, New York. (1994)

According to Modal Assurance Criterion (MAC), the credibility of the calculation results is verified, and then modal parameters of industrial flat sewing machine get more reliable in order to provide the reference for further structure optimization and noise reduction of the flat sewing machine.
In the paper, SCADAS data processing front-end of LMS Company and Test.
Lab 11B engineering analysis software is applied to the acquisition and analysis of experiment data.
And SCADAS data processing front-end of LMS Company and Test.
Lab 11B engineering analysis software is applied to acquire and analyze of experiment data.

The predictions from the present model are in good agreement with the field data.
The field data used in this applied model is shown in Tables 1 and 2.
Correlation plot comparing the present model with the actual additional data.
Comparing the present model with the actual additional data.
Chemical Data Collections, 17, 321-326

The grain refinement mechanisms operating during severe deformation processes, like ECAE, are discussed using data obtained from model Al-alloys.
Most data shown below is for the Al-0.1%Mg alloy, except where comparisons are made to example data from the other materials.
Data analysis was carried out using VMap, an in-house software package.
In the current work sufficient statistical data has not yet been obtained to correlate specific crystal orientations to grain stability in such regions.
An example of this behaviour can be seen in Fig. 6a, where statistical data obtained by EBSD shows little significant difference in the fraction of HAB area, and a negligible reduction in grain width, in the strain range ~ 8 - 17, using route A.

Using the data of 30 small firms, we build the index system to evaluate competitiveness.
The application of principal component Index system and data.
Data processing.
We use Stata 12.0 to process the data.
We standardize the original data and then calculate the correlation efficient matrix, latent root and eigenvectors, proportion and principal component loadings.

The model is validated by quantitative agreement of calculated and experimental data on the Al concentration in SiC as a function of temperature, pressure, SiC growth rate, and TMAl flow rate.
Note that, though these trends are commonly observed, there are considerable quantitative discrepancies in the data of different authors.
The authors found certain correlations between their calculated data and the site-competition mechanism but did not simulate p-doping directly.
The model and the fitted complex are then validated by the agreement of calculated and experimental data in variation of other process parameters.
It is validated by quantitative agreement of calculated and experimental data on the Al concentration in SiC as a function of various process parameters.