Sentence examples for predictions can yield from inspiring English sources

Where units for strategic reasoning are established to deliver policy advice on emerging technologies addressing "wicked" environmental problems [8], STS-perspectives on expert predictions can yield useful insights into how public interests and political priorities are implicated in the process.

Combined community predictions can yield meta-predictions that are robust and often more accurate than any of the individual predictions.

Moreover, our results suggest that in order to produce exhaustive transcriptomic profiles of venom glands it is important to be aware that different transcriptome assembly methods, as well as different methods of homology prediction, can yield different results.

The results firmly show that the learning-based performance prediction approach can yield very high performance gains.

They show how even relatively "simple" predictive models can yield accurate market-based predictions [33].

From the discussion above it should be apparent that prediction of ER status, histological grade of breast cancer, or better or worse prognosis associated with these clinical phenotypes should be relatively easy when considering all breast cancers together, and that such predictions can therefore yield predictors with good overall accuracy.

Our results indicate that prediction of the performance of inbred maize lines using GBS data combined with pedigree information outperforms the prediction accuracy of pedigree-based methods and, at a minimum, can yield prediction accuracies comparable to those obtained with low-density to mid-density SNP arrays.

The new composite-medium model is validated by using a reported laboratory experiment; it can yield predictions matching the experimental response profiles with acceptable accuracy for times as short as 5 min.

In the context of estimating chemical toxicity, this approach can yield predictions of the potential biologic activity.

Even though a causal assumption cannot be tested in isolation using observational data, a set of causal assumptions can yield predictions that can be tested using such data [ 14].

This hypothesis implies that equilibrium thermodynamic models can yield predictions about the interdependence between populations of proteins and their subcellular chemical environments.