A number of interpretations have the potential to meet these requirements, including interpretations involving part-whole relations, scope ambiguity, kind relations, and identity relations.
In contrast, the model theoretic interpretation of Ω(mˆ)—the one which is relevant to the fact that M ⊨ Ω[mˆ] says only that the domain of M doesn't contain any bijections between the natural numbers and mˆ.[23] Clearly, these two interpretations have the potential to come apart.
While this represents the functional outcome of several genetic mechanisms of PTEN loss, IHC relies on subjective interpretation and has the potential for inter reporter variation.
With the development of more sensitive technologies and also computational tools for statistical analysis and data interpretation, metabolomics has the potential to help us better understand the molecular mechanisms of disease.
Any technique that removes subjective interpretation, enhances sensitivity, and has the potential to lower costs would assist with global HIV TDR surveillance.
The former has the advantage that the summary statistics conserve their interpretation, while the latter has the potential of better extracting and combining information contained partly in the various candidate statistics.
Continued careful measurement of these trajectories, combined with a sensible interpretation of their meaning, has the potential to greatly improve our understanding of the dynamics of adaptation over short timescales.
Although the interpretation network analysis tested here has the potential to support the field of sustainability monitoring, the structure and content of documents pose several limitations.
A network-driven interpretation of gene expression data has the potential of suggesting novel classifiers for pathological cellular states and of contributing to a general theoretical understanding of gene regulation.
