First, restricting our discussion to the analysis with all data, we find that the maximum likelihood estimate of the relaxation parameter is extraordinarily close to one (differing by 0.07%), perfect non-relaxation.
This work is aimed at developing a technique for manipulating the data derived from dynamic mechanical analysis to obtain an accurate estimate of the relaxation modulus of a material over a large range of strain rate.
The E/ A ratio is used as an estimate of the relaxation pattern of the ventricle.
The ME coefficient αE is in the range 10−1 104 mV/cm Oe, higher in cobalt ferrite PZT than for nickel ferrite PZT, and is strongly dependent on PZT volume fraction v. Estimates of αE and relaxation frequencies versus v provided here are useful for engineering composites with maximum ME effects for specific frequency bands.
T1-maps provide pixel-wise estimates of the T1 relaxation times of the underlying tissue, and each tissue type exhibits a characteristic normal range of T1 values.
Measured inversion recovery SI curves were mathematically fitted to the inversion recovery magnetisation function, which provides estimates of the T1 relaxation time of these tissue regions [ 15].
We show that Λ is the best possible exponent by relating this estimate to a sharp estimate for the rate of relaxation of f(⋅,t) to M. A key role in the analysis is played by a decomposition of Q+n(F) into a smooth part and a small part.
Lines represent calculated values after Eq. (12) with the data in Figs. 8 and 9. Figure 18 shows the values of relaxation times estimated after the experimental values of σMES and calculated from Eq. (16).
The constant of proportionality of this relationship can be used to estimate a value for the enhancement of relaxation caused by the nuclei interacting with the pore wall, called surface relaxivity.
On the base of Havriliak Negami equation, parameters of relaxation functions in frequency domain were estimated for samples containing various contents of graphene.
Several assumptions of our model are simplistic representations of reality and understanding how their relaxation would influence estimates of CST rates requires further investigation.
