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Constraining the outside of these models significantly increases the thermal stresses induced.
It is worth noting that combined use of the models significantly increases the resulting number of the peaks with the identified sites.
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Despite all the models performed well (AUC > 0.80), the predictive ability of multi-scale models significantly increased with spatial resolution, particularly when other predictors of habitat suitability (e.g. human pressure) were not used to indirectly filter out areas with a more degraded vegetation cover.
Multiple alleles per species from several loci are therefore needed to parameterize such models, significantly increasing data requirements (e.g. Brumfield et al., 2008; Liu et al., 2008).
A 1% increment of humidity in both short- and long-lag models significantly increased the risk of influenza A (27%) when humidity was approximately below the breakpoint, of 70% (p<0.01 for both subtypes).
The inclusion of dynamic load model significantly increases the nonlinearity of the system.
It is shown that the proposed material model significantly increases the accuracy of the finite element predictions compared to the standard orthotropic linear material model with almost identical computation times.
We demonstrate that including volumetric deformations in the material model significantly increases the accuracy of the predictions.
However, including breadth of gene expression into the regression model significantly increases its fit (table 3)—possibly because expression breadth is only moderately correlated with transcript levels (supplementary table S4, Supplementary Material online).
Evidence to support a protective role for estrogen in SS can be found in a recent study in mice where ovariectomy of adult females (modeling menopause) in a SS model significantly increased inflammation in the lacrimal (tear) gland [ 69].
Finally, the measured initial imperfections are included in the model significantly increasing the numerical experimental correlation.
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