Sentence examples for predictions which have from inspiring English sources

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The impact of linearization and point-kinetics one-precursor-group approximation has been further evaluated by examining the respective transient predictions, which have been compared to the nonlinear reference ones for increasing perturbations.

Consequently, the incorrect class with the CAPRI criteria doesn't distinguish between these predictions, which have a very high biological utility, and predictions having few native contacts, which are biologically wrong.

We compared this set of predictions, which have identical spatial and temporal coverage, with the AOD model predictions.

Similar(57)

The numbers are, however, totally out of line with government predictions, which had predicted 65% would be deemed capable of some work and only 15% fit for work.

Svendsen et al. [ 25] concluded that their task-based predictions, which had R 2 correlations mostly below 0.2, were "inefficient" for use in epidemiological studies.

MtHydro is based on the crystallographic structure of cytochrome oxidase b and complex IV subunits and bioinformatic prediction, which have been used to generate two partitions: one containing hydrophobic alpha-helices and one containing the remaining mostly hydrophilic sites.

Mr. Giuliani claimed vindication for his prediction, which had been discounted by officials.

The Otung model also gave a good prediction which has a lower error rate and RMS of 4.5% and 11.1%, respectively.

WPE is based on long-term linear prediction, which has been widely used for blind equalization when the target signal is stationary Gaussian.

In fact, If M>N opt, smoothing is inefficient when N opt<q<M, because q exceeds the length of the averaging interval and smoothing virtually provides the backward prediction, which has an estimation error larger than in filtering.

However, none of the above explicitly considers the inverse expression relationships for module prediction, which has been very effective in terms of uncovering functional miRNA-target relationships.

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