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A three-dimensional statistical bridge signature is developed to aid damage localization and assessment.
However, our approach differs conceptually to the cited work in that we define a statistical bridge between a well-defined stoichiometry and a complex phenotype, therefore substituting for a metabolic link that may be ill-defined in a purely stoichiometric representation and otherwise hampered by insufficient kinetic and regulatory information.
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The subject of statistical seismology bridges the gap between physical and statistical models.
These ideas are relevant for the understanding of force-generation in muscle and have been incorporated into several more advanced statistical cross-bridge models (see below).
Statistical cross-bridge models with independent force-generators based on a kinetic scheme similar to Figure 2, but where each biochemical state exists for a range of elastic strains, account well for several contractile phenomena.
These two different perspectives can be reconciled by using statistical mechanics to bridge the length scale differences.
In the absence of sufficient mechanistic detail, the unknown or ill-defined part of a metabolic network can be substituted by an empirical (statistical) sub-model bridging the well-defined stoichiometry with a given cellular function, such as the synthesis of a complex recombinant product).
Behind the change, they said, are such factors as more realistic assessments of highway traffic as well as advances in the statistical analysis of past bridge failures and their causes.
No statistical differences between the bridges were found on any of the dependent measures.
It is crucial to apply statistical or scaling theories to bridge this gap.
Statistical mechanics is a fundamental bridge that links microscopic world of quantum mechanics to macroscopic thermodynamic properties.
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