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The estimated logit model exhibited strong predictive capabilities, as well as high percentages for sensitivity and selectivity of prediction.
Results from a series of multi-group confirmatory factor analyses indicated that the two-factor model exhibited strong measurement invariance (i.e., configural, metric, scalar, invariant factor co/variances and uniqueness) across gender, time, and gender × time.
Indices tested in the model exhibited strong and significant relationships with widely variable GPP in each crop (GPP ranged from 0 to 19 gC/m2/d for soybean and 0 to 35 gC/m2/d for maize), however, they were species-specific.
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The resulting organizational models exhibited strong similarities to that presented in Fig. 4Aiii, in particular with respect to the complex core (defined as the proteins with more than one attached partner).
Multiple cell cycle models exhibit strong robustness to timing variation, apparently due to evolutionary pressure.
Classical continuum models exhibit strong mesh dependency during softening.
As mouse models exhibiting strong ciliogenesis defects in vivo seem to be lethal around midgestation, it seems doubtful that the subjects described here who survived until term would exhibit such defects in vivo.
The binned spike trains obtained from these models exhibit stronger higher-order spike count correlations than could be predicted under a pairwise maximum entropy Ansatz from the first- and second-order statistics alone.
In this model the working memory module exhibited strong recurrent excitation, whereas the sensory network was dominated by inhibition.
Differentiating keratinocytes in this model exhibit strong expression of the marker involucrin as early as in the first suprabasal cell layer [ 1], a situation that differs from in vivo differentiation where involucrin is mainly induced in upper spinous and granular layers.
A simulated grain size data set obtained from Potts model growth exhibited strong deviation from log-normality.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com