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Therefore, full comprehension of the structural behavior of historic structures is of prior importance.
Indeed, taking into account gradient effects is of prior importance for the applicability of fatigue models to real structures.
A better understanding of the damage mechanisms of these materials at the microsphere scale under such a hydrostatic loading condition is of prior importance in determining actual material limits, improving phenomenological modelling and developing novel formulations in the future.
Apparently, the phase-based sampling method with the prior importance sampling distribution bears the lowest complexity.
The prior importance distribution forms a good alternative as it is often easy to sample from it.
Hence, based on the results from Table 1, the phase-based sampling method with the prior importance sampling distribution has the lowest overall complexity.
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The authors computed the channel weights on the fly using patient specific history and clinically derived prior channel importance.
Explanatory variables considered of prior clinical importance or having a threshold p value of ≤0.15 in the univariate analysis will be included in a multivariable logistic regression model.
For inclusion into the multivariable logistic regression model, explanatory variables had to be considered of prior clinical importance or have a threshold p-value of ≤ 0.15 in the univariate analysis [ 8].
The regression coefficients for these predictors are also displayed in Table 3 [ 10].> -wrap-foot>> NotExplanatoryory variables had to be considered of prior clinical importance (nipple discharge may indicate pathologic nipple discharge) or be associated with a threshold p-value of ≤ 0.15.
Among such factors, psychosocial stress has been considered of paramount importance prior to the onset of psychotic symptoms.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com