Sentence examples for statistical pressure from inspiring English sources
The system is modelled using the quantum hydrodynamic equations in which the electrons are significantly affected by the quantum forces, viz., the quantum statistical pressure, the quantum Bohm potential and electron exchange-correlations due to electron spin.
Equations (8)–(12) are regarded as statistical pressure diagnostic models for interpreting pressure transient data.
Summarily, the three methods: statistical pressure, fluid-phase numerical density and pressure density equivalent derivatives gave very clear radial flow stabilisations on the diagnostic plot, from which the reservoir permeability was derived.
(1) Statistical pressure derivative utilises the 2nd differencing of pressure and time series since pressure change and subsurface flow rate are nonstationary series and then integrates the residual of its 1st differences using simple statistical functions such as sum of square error SSE, standard deviation, moving average MA and covariance of these series to formulate the model.
This analysis also further clarifies whether or not the dominant statistical pressure is GC bias or CpG pressure, indicating experimental error that should be accounted for in the original GCRMA normalization procedure.
In this paper, a correction method is introduced by using statistical air pressure map and wind speed map.
According to the statistical analysis, pressure had the most significant effect on the particles size with the lowest probability value (0.001) and highest Fischer value (53.1).
In this study, a physical and statistical analysis of pressure gradient models and correlations are presented.
The effects of free-stream turbulence intensity and integral scale on the statistical nature of pressure fluctuations are presented and discussed.
From this statistical evolution the pressure, dynamic extraction time, and modifier volume were found to have significant effects on the results achieved from SFE-DLLME-GC-FID, while temperature was not statistically significant at a 95% confidence level.
Next, an ANN is constructed, which predicts the statistical values of pressure coefficients at an arbitrary point from the information on the dome's geometry and the turbulence intensity of approach flow.
