Sentence examples for represented the analytical from inspiring English sources

Since the 10 HPS samples were identical, the deviation of protein drifts from zero represented the analytical variability in the experiment.

The first calculation method represents the analytical solution of the Crank equation, while the second one represents the analytical solution of the Efremov equation with boundary conditions in the form of the flux.

We describe a method and tool set for representing the analytical knowledge through semantic web ontologies that map between the metamodels of both the DSM and analytical tools.

For the samples which were not analyzed in duplicates, error bars represent the analytical error estimated from the analyses of standards (0.3 ‰).

Equations (10 - 14 10 - 14ent the analytical solutions forepresentw induced by a general thee-dependent movement of the verticanalyticalate.

(46 Equations (45) and (46) reveal a significant characteristic that a linear combination of different orders of the Bessel function can represent the analytical solution to the equations governing electromechanical disturbance propagation in a multi-segment uniform system.

The dashed black curve represents the analytical form used here and in [29] (modified to agree with low temperature data), while the other curves represent previous forms described elsewhere [27].

Equations (10 - 12 10 - 12ent the analytical solutions forepresente convecthee heanalyticalsolutionsr forw of a viscous, incompressible, electhecally conducting and heat absorbing freed past a flat plate with ramped temperature in the presenconvectiveiform transverse magnetic field.

The Euclidean method represents the analytical values usually used for the dissimilarity between two samples and distance [ 23].

The LSC was calculated with the formula: Z × √2 × √ (AV² + IV²), where AV represents the analytical change in our laboratory, IV the intra-individual variation and Z is the Z-score.

Sources of uncertainty in the specification of components of the cost measures are addressed by employing probabilistic sensitivity analyses, where the distributions of the variables representing the analytical assumptions are allowed to vary simultaneously, thus testing the robustness of our findings [ 51].