Classical continuum models exhibit strong mesh dependency during softening.
Multiple cell cycle models exhibit strong robustness to timing variation, apparently due to evolutionary pressure.
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 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.
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.
A simulated grain size data set obtained from Potts model growth exhibited strong deviation from log-normality.
It was found in Supplementary Fig. S1 that genome diversity, characterized by Dev_geneCluster method in Model C, exhibited strong correlation to pan-genome size, and difference in gene cluster number may primarily affect pan-genome size.
Analysis of tumors from this model revealed that they exhibited strong bone resorption, induction of osteoclasts and intracranial penetration at the tumor bone (TB -interface.
