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Furthermore numerical aspects are addressed concerning the integration of the constitutive relations and the finite element equilibrium iteration, and additionally the sensitivity terms for parameter identification are derived.
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In the models assessing the effect of age on acoustic parameters, we fitted as fixed effects a linear term (Age) for Frmax, Pulses, Duration, and parameters related to F0 (F0minn, F0max, F0mandand Jitter), and both linear (Age) and quadratic (Age) terms for parameters related to formants (F1min-F6min anDfminiN; N = 305 groans, 9.84 ± 0.09 per individual per year, 14 individuals).
In the models assessing the effect of Rank on acoustic parameters, a log term (log(Rank)) for Frmax, Pulses, Duration, and parameters related to F0 (F0minn, F0max, F0mandand Jitter), and both linear (Rank) and quadratic (Rank) terms for parameters related to formants were fitted as fixed effects (F1min-F6min anDfminiN; N = 245 groans, 9.80 ± 0.12 per individual per year, 12 individuals).
There was no significant difference between formulations in terms for any parameter Table 1.
Least square means with 95% confidence intervals (CIs) of time-weighted changes from baseline over 12 weeks were generated from an ANCOVA model with terms for baseline parameter, treatment, concomitant medication status, and its interaction with treatment.
The resolvability of closely spaced signals, in terms of parameter of interest, for a given scenario (e.g., for a given signal-to-noise ratio (SNR), for a given number of snapshots and/or for a given number of sensors) is a former and challenging problem which was recently updated by Smith [11], Shahram and Milanfar [12], Liu and Nehorai [13], and Amar and Weiss [14].
We develop new analytical expressions for the leading order power law, as well as the first correction term, for arbitrary parameter values.
On the other side, C1 refers to the diagonal term for the parameter α, and (C_{2}^{left (q_{1},q_{2}righto}) thethe crossed terms related with the correlation coefficients of the spatial correlation matrix R ϕ.
> The coefficients, including an intercept term, for each parameter in the model across the different leaf temperatures (Fig. 5) were not uniform in their response.
Molecular mechanics force fields describe atom atom interactions in terms of parameters derived for each atom type.
Due to the importance of trust metrics, we re-examined the proposed trust models in terms of parameters utilized for measuring the trust value.
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