Sentence examples for predictions the significant from inspiring English sources

Exact(2)

Consistent with predictions, the significant interaction indicates that the extent to which participants use more concrete identification with increasing sadness was moderated by depression status.

As shown in Figure 1, and consistent with predictions, the significant interaction indicates that the extent to which participants use more concrete identification with reducing happiness was moderated by depression status.

Similar(57)

At least, initially: Our Flooded Earth was too hot, pardon the pun, to handle in 2010, but the National Geographic channel has based this year's series Earth Under Water on its fearsome predictions of the significant sea-level rise that global warming has already priced into the environmental picture.

On the other hand, all of the drug pairs in other groups were new predictions, so the significant correlations between the two scores seemed to be meaningful.

This miRNA is involved in 45 KEGG pathways according to DIANA-mirPath predictions, the most significant being prostate cancer (6.436856e-14), endometrial cancer (4.517902e-10), mTOR signalling pathway (1.336018e-07), and PI3K-Akt signalling pathway (2.347282e-07).

Consistent with these predictions, the most significant differences in gene expression were seen for genes (e.g., N-cadherin (CDH2), versican (VCAN), L6 cell surface antigen (TM4SF1) and layilin (LAYN)) associated with cell invasion, migration, metastasis and the epithelial mesenchymal transition.

This concept leads to the specification of an equivalent fetch for a hurricane which enables the use of fetch limited growth relations for the prediction of the significant wave height within a hurricane.

As per our prediction, the most significant changes in gene expression were observed at the Inc phase, before the signs of arthritis appeared, instead of at the Pk phase of AA.

Sample depth, sampling date and specific surface water area were the important non-nutrient input variables for DON prediction, which reveals the significant effect of surface environmental factors and seasonality on groundwater DON.

The accuracy was 0.93, 14%% higher than the in prediction based on the significant markers.

(i) Compared to RANS, which require evidence for their predictions, the LUM has the significant advantage that the quality of predictions is relatively independent of the RANS model applied.

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