Sentence examples for predictions would require from inspiring English sources

Better predictions would require improved climate-measurement tools, more sophisticated climate models that work on regional scales, and a better organized system to integrate all the data, the report concludes.

Because nest predators are a key determinant of reproductive output, accurate predictions would require knowledge on how climate warming would influence behavior, abundance and composition of the predator community.

An attempt of such prediction would require also incorporation of the amino terminal domain of the receptor (absent in this model and in many crystallographic structures of GPCRs; CCK-2R N-terminus shows no significant homology to any protein found in the PDB database [39]).

A test for this prediction would require the merged genomes to be as evolutionarily close as possible to control for the contribution of the molecular divergence of the merged networks to non-additive gene expression.

Nevertheless, the present approach produced valid HR estimates (Competing risks and multistate models with R), but probability predictions and individual prediction models would require additional mortality information.

In order to make better model predictions, we would require more detailed information on the environmental conditions within the native range.

Further, to test if multiple interactions influence risk prediction, we would require samples with same environmental and genetic measures for all participants.

There have been few studies addressing the question of whether endometriosis is a risk factor for ovarian or endometrial cancer, and incorporating this into a clinical prediction model would require precise characterization of endometriosis as a risk factor.

There have been very few studies addressing this issue, and incorporating it into a clinical prediction model would require a more precise characterization of the risk factor of endometriosis.

Use of a strain-life based model incorporating a mean stress effect, e.g. the Smith, Watson and Topper approach, could be used for life prediction, but this would require a large data base and/or large reserve factor on life.

Likewise, to achieve this highest level of performance, any future use of our model or its predictions would also require filtering of the predictions to focus on only the miRNAs and mRNAs co-expressed in the cells of interest.