Search results

Acquired data are processed in the Matlab software and in the user interface of the Qualisys software.
Data acquired by strain gauges contained a lot of noise.
Script calculates tension, bend in two perpendicular planes and resultant with its orientation from data acquired from four independent Wheatstone quarter-bridges.
Data captured by the Qualisys system were processed in the user interface of the Qualisys software.
This hypothesis is proved by the data measured by the Qualisys system.

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.

The paper took advantage of approximate classification of imprecise or incomplete data to analyze and assess the sensitivity of environmental factors on eutrophication based on rough set theory.
Its main advantage was it performed rationally on data attributes reduction and classification.
Peters et al used rough set method classifying the 3-D radar meteorology data to predict rainstorm disasters caused by summer severe weather [3].
Regarding the 16 consecutive monitoring stations’ data as an object set U and the element indicators as condition attribute set C, classified the similar elements, created a rough set K= (U, C).
Conclusions (1) Rough set could take advantage of approximate classification of imprecise measured data to conduct eutrophic sensitivity evaluation by the dependence between attribute data, to explore the key factors leading to eutrophication, and provide a new idea for analyzing the eutrophication

It is shown that the simultaneous excitation of the crystals BaF2 pulse accelerated and SE semiconductors in electronic components STE absorption leads to a reduction efficiency of creation of STE and the appearance of fast decaying emission in the UV region of the spectrum.
Spectral and kinetic characteristics of the luminescence caused by radiative annihilation of the STE are in good agreement with published data (lm » 4.1 eV, t » 600 ns).
Consequently, only the simultaneous excitation of the crystals BaF2 pulse accelerated and SE semiconductors in electronic components STE absorption leads to a reduction efficiency of creation of STE and the appearance of fast decaying emission in the UV region of the spectrum.

The disc joints were modeled as load-based joints having non-linear viscoelastic properties defined by data from in vitro experiments.
Intervertebral disc stiffness data from Shea et al. [3] were used to define the compressive stiffness properties while facet capsular ligament data from Yoganandan et al. [6] were used to define the tensile stiffness behavior.
The non-linear elastic behavior of each ligament was governed by stiffness (k) - strain (ε) curves, which were generated using data from the literature [6].
Limitations of the model Stiffness properties of the discs were derived primarily from lumped in vitro stiffness data, which included the contribution of surrounding tissues.
The model provided realistic visualization of in vitro experimental protocol and allowed intuitive interpretation of the data.

The simulation sensor array template receives field odor data or simulates the data via recorders in database, and transmits to the platform.
The data from the subsystem and the preprocessed data are sent to the web server center and stored in the databases.
In fig. 1, the platform has 5 logic layers that include device layer (data acquiring layer), I/O bus layer (data transmitting layer), data processing layer, algorithm layer and user interface layer.
User interface layer can process user data and user requests, and manage users, data, database, algorithms, and application systems.
So the database system of supporting platform of machine olfaction provides much data for researchers which mine machine olfaction data, create algorithms, and release new data to the server database system.

Statistical analysis of the experimental data was conducted and the R2 value (0.99) showed that the experimental method adopted were replicable.
The experimental data trend of Fig. 2 shows that the influence of viscosity at a given shear rate.
Iyuke, Data on Cost analysis of drilling mud displacement during drilling operation, Data in Brief, 19 (2018) 535-541. https://doi.org/10.1016/ j.dib.2018.05.075 [2] E.E.
Hamid, Data on experimental investigation of Methyl Ester Sulphonate and nanopolystyrene for rheology improvement and filtration loss control of water-based drilling fluid, Data in Brief 21 (2018) 972–979 [11] M.
Dosunmu, Data on shale-water based drilling fluid interaction for drilling operation, Data in Brief, 19 (2018) 1620-1626

Abstract: In the study of power load forecasting, the factors influencing power load have data redundancy and data nonlinearity.
One-month weather data and load data of Yichang city have been confirmatory tested and analyzed through application of SPSS-BP model.
The SPSS-BP takes the load data from September 1th to 27th and network topology structure Z1, Z2, Z3 as the training data, 29th day’s load data as output data, so as to establish a network.
The standard BP method take the weather data from September 1th to 27th as input data, 29th day’s load data as output data.
Data statistical analysis and application of SPSS.

Chronocoulometric data versus time and potential for 2 M methanol (the maximum concentration used in experimental tests) in alkaline solution (1 M KOH), are presented in Fig. 6.
EIS data were fitted using a complex non-linear least squares (CNLS) procedure with the equivalent electrical circuits shown in Fig. 10 a and b.
The two R-CPE networks in equivalent electrical circuit, characteristic for EIS data recorded at +0.50 V and +0.75 V, is due to a mixed oxidation process: Co(II) from inside oxidation and methanol oxidation process, described by Eq. (1) - (5) in the electrochemical mechanism presented previously.
Conclusions The results presented in this paper exhibit a complete characterization of methanol oxidation process on Y0.5Ca0.5BaCo4O7 electrode, correlating kinetic parameters obtained from Tafel method and EIS results with chronoamperometry, cronopotentiometry and cronocoulometry data.
Experimental data have confirmed the possibility to oxidize methanol in alkaline media on a cobalt layer perovskite type 114 electrode.

Test Data Analysis.
Test data processing.
The initial data is shown in Fig. 3.
Fig. 3 Original data waveforms Fig. 4 Interception of time domain data After a spectrum analysis of pier, the contrast amplitude spectrum and phase spectrum.
After 1 minute dynamic analysis, analysis data of the finite element model of the pier.