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The person relates every situation to generalizations understood to be accurate in general.
A comparison of correlated ramdom walk theory and effective medium theory predictions for cubic networks with simulation results shows the latter to be more accurate in general.
We first study the accuracy of two well-known analytical models of the average throughput of long-term TCP flows, namely the so-called SQRT and PFTK models, and show that these models are far from being accurate in general.
Finally, using the whole data set the differences between pre-processing methods were even less pronounced, when there was no significant difference between raw spectra and other methods (except SD which was significantly worse), although all the predictions were more accurate in general (R2cv from 0.811 to 0.831).
However, these measures do not exactly consider the various implementation schemes and are not accurate in general case.
It is shown from these figures that the interaction diagrams plotted using Eq. (2), representative of the compression zone area, are the most conservative and accurate in general compared to those of full confinement and those plotted using Eq. (50), a function of eccentricity only.
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For such borderline specimens with <20% clonal aberrations, more accurate classification could in general be achieved by scoring additional cells to increase the confidence in the presence/absence calls of each abnormality.
However, accurate results, in general much more accurate than predicted values, are easily obtained by using regression with measured solubilities and/or partition coefficient values [1].
Results show that finite element approach with orthogonal function approximation of the responses give more accurate results, in general, than the exact solution approach for all the studies presented in this paper.
The phenomenological model was less accurate and in general provided non conservative estimates of material strength.
Longer k-mers are advantageous in distinguishing repeats from real overlaps [ 49] and are accurate, and in general suit the assembly of highly expressed transcripts [ 50] while shorter k-mers are preferred for assembly of low expression genes.
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