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Spatially distributed erosion model predictions could improve if the configuration of sources and sinks of overland flow in the landscape is taken into account.
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Greater accuracy of ground motion prediction could improve seismic hazard assessment performance and therefore reduce losses in the event of an earthquake.
The use of complementary predictors could improve prediction and prognostication.
To determine whether the inclusion of independent meteorological predictors could improve the prediction, all possible combinations of the four previously identified potential predictors were fitted with an AR(2) model using transfer functions (a total of 24 models) and evaluated.
We used a simple metric to predict heterozygous sites, and so one could argue that more sophisticated prediction methods could improve performance.
The important result of this analysis was that the averaging of few models with the highest prediction ability could improve results compared to the averaging of all models.
However, it is necessary to point out that in that the prediction steps could improve the location system under small signal lost periods, but afterwards it can not ensure the provided position integrity.
However, we tested if combining different prediction methods could improve the results.
Thus prediction of β-turns could improve the prediction of epitopes.
The incorporation of protein evidence into the automated prediction of ORF could improve the final model in such cases.
In this study, the landform recognition algorithm "geomorphons" in the GRASS GIS environment was explored to determine if this landscape model could improve predictions of soil properties.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com