Guimarães et al. used a parsimony explanation (PE) approach to predict domain-domain interactions from protein interactions [ 10], in which the model is exactly the same as the basic parsimony model in [ 9], although two models were carried out independently and implemented differently.
So far, no alternative explanation has been able to predict the results of observations convincingly enough for most astronomers and physicists to doubt the existence of dark matter.
Based on the measured Raman spectra we have proposed an explanation, which is able to predict the Boson peak frequency and its intensity correlations with the glass transition temperature.
Eventually, the theory becomes so successful at providing explanations that some enthusiasts begin to predict that they will be able to use it to explain everything.
Science seeks to explain the world around us, and the most satisfactory explanations are those that allow us to predict as yet unknown phenomena.
The ability to predict is both what makes our explanations useful, and what confirms that our explanations are correct.
This could also be the explanation for disappearance of systolic blood pressure from the model to predict mortality.
A hypothesis is a suggested explanation for a phenomenon – it is experimentally testable and allows one to predict outcomes of experiments.
A possible explanation for this finding is that level of experience may affect ability to predict skill level.
Childhood conduct problems, however, continued to predict poor outcomes at age 18 years after accounting for these explanations.
