Sentence examples for models revealed significant from inspiring English sources

Furthermore, some models revealed significant changes in surface albedo, latent heat flux, and available energy in the 10% exceedance region.

Finally, comparisons of the observed thresholds with existing models revealed significant discrepancies between the predicted and measured values.

The mean score was 5.80 and Generalized Linear Models revealed significant effects of sex and field of study (women and people with no biology education scored higher than men and biologists).

Regression models revealed significant interactions between geo-climatic descriptors and land use for a third of the models, with interactions accounting for up to 17% of the model's deviance.

The dendroclimatic regression models revealed significant negative relationships between white pine radial growth (i.e., PC1 but mainly PC2 year scores) and spring and fall precipitation and (or) CMI at 5 of the 7 test sites: Wabeno, Manistique, Pine River, Ganaraska, and Orono.

All three regression models revealed significant associations between strain-based WIF and FIW and self-reported work-ability (Table  2).

For models revealing significant disease-related separations important metabolites were highlighted and subjected to further validation.

Mothers and fathers of children with cancer reported significantly different levels of stress to each other but models reveal significant contributions of the stress score of fathers upon mothers, and vice versa.

For the two models discussed in this paper, this value has been set at 0.1 and it has been found that if this value is set at 0.2, then the resulting comparison plots of the transient behaviours of the original vs the reduced models reveal significant visual differences.

For binge-eating, mixed-models revealed significant time and shCBT-by-time interaction effects: shCBT had significantly lower binge-eating frequency at 6-month follow-up but the treatments did not differ significantly at any other time point.

Results from generalized linear multilevel modeling revealed significant fixed linear effects of time on depression, quality of life, global eating pathology, and binge frequency (all ps<.05).