Sentence examples for generalized future from inspiring English sources

This is a 6-item scale covering generalized future expectations; three items are worded positively and three negatively, and the items are presented as a 5-point Likert scale.

This chapter (1) generalizes future outlooks for climate and discusses uncertainties in these outlooks, (2) reviews key aspects of the vulnerability of biodiversity to climate change, considered from genetics through landscapes, and (3) concludes presenting strategies for handing this vulnerability and associated uncertainty in conservation planning.

The use of bimodal units to synthesize audiovisual speech seems to be a very promising technique that should probably be generalized in future projects as an effective audiovisual speech synthesis technique.

It is also important to consider whether the current results can be generalized to future effects.

The principles guiding our testing protocols for SARS and avian influenza can be generalized to future global health threats.

This should be generalized in future taxonomic investigations in order to improve the biological information attached to novel species.

These discrepancies, which may suggest aspects of the modeling that will not be generalized to future studies or may be artifacts of the smaller sample size of the validation data set, will be discussed below.

We will test the extent to which such agreement between experimental and computational approaches can be generalized in future studies using the complementary HSV-tk shuttle vector microsatellite mutagenesis assay and repair-proficient human cells (Eckert et al. 2002; Shah and Eckert 2009).

If a molecular signature performs well on a truly independent set of samples, then this provides evidence that it will likely generalize to future patient samples.

We focus on the AIC score as the training data set is larger and from multiple sites, and so may better indicate how well the results will generalize to future data.

As the ROC curves for the training set and the evaluation set have similar shapes, we can use the performance on the training data to determine our preferred tradeoff between sensitivity and specificity; and feel confident that this will generalize to future subjects.