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An initial investigation of these equations indicates that they have properties very similar to differential algebraic equations (DAEs).
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These equations indicate the importance of machine contents in experimental work.
These equations indicate that the information about f̂ can be extracted by measuring (hat{P}_{1}^{mathrm{out}}) by a homodyne detector.
Moreover, these equations indicate how, for the specified kinetics, only certain exceptional compositions can serve simultaneously as CFSTR effluents and as attainable region extreme points.
These equations indicate that elevated ( {text{HCO}}_{3}^ ) contents favour F− release from the hard rock aquifer matrix into the groundwater.
These equations indicate that a VM will be nominated for migration if it produces lower CPU usage than the migration control threshold and possesses highest fuzzy output value.
For a specified CFSTR feed, these equations indicate that there are only very exceptional (and generally computable) values of the residence time for which the effluent composition can be extreme.
These equations indicate that the dielectrophoresis of SWNTs is affected by many factors including the dimensions of the nanotubes, the properties of the medium, and the strength of the electric field.
The equations of motion for this system are developed using Lagrangian methods; analysis, simulation and experimental validation of these equations indicate that offsetting the imbalance masses effectively mitigates 1/Rev vibrations during a rotor hub power loss while continuing to cancel N/Rev vibrations during normal operation.
The comparison of dynamic response and the computational load from using DT and numerical integration of the resulting differential equations indicates the effectiveness of using DT in MOC.
A dimensional analysis of the governing equations indicates two additional explanations for the influence of infiltration variability on contaminant transport.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com