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We can express the ratio between the two characteristic pressures as χ = p m, c ∗ p c ∗ = ε 2 8 S Da, with Da = K ∗ R ∗ 2, D a r c y n u m b e r. (11).
Thus C1g = log τg/τo) (a relation which is not found in the present polymer literature), measures the gap between the two characteristic time scales of the polymer liquid, microscopic and α-relaxation, at the glass transition temperature.
Our results rather show a continuous range of variation between the two characteristic end-members.
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All data sets show strong dependence between the two characteristics when they are relatively small; however, gradually they become independent as the values increase.
The difference between the two characteristics varied in the following ranges: ~20 50 km in the E channel, ~80 150 km in the F1 channel, and ~100 200 km in the F2 channel.
With the increase of E b /N 0, the transfer characteristics of the MIMO detectors are shifted upward, and the tunnel between the two characteristics is then open allowing the iterative process to improve the performance of the system.
Comparing a panel of scFvs in terms of overall protein expression and phage display propensity allows the link between the two characteristics to be investigated.
To verify this hypothesis, we investigated correlations between the three characteristic components.
To investigate the correlation between the three characteristic components (epithelioid, spindle-shaped, and ganglion-like cells), Pearson's product-moment correlation coefficients were calculated.
Such an example provides evidence for an association between the three characteristics.
A sequential relationship between institutionalization, benefits, and development is alluded to in some definitions of innovation sustainability (e.g., [ 63]), yet the literature has not explicitly considered conceptions of successions or hierarchies between the three characteristics.
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