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The original interpretation of these systems assumed that a stringent laboratory selection was in place, when in fact the laboratory paradigm may have broken down.
Additionally, appropriately trained researchers with a thorough understanding of the use and interpretation of these systems and of ovine physiology are essential.
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The interpretation of these two systems of absolute hypovolaemia was compared with clinicians' assessments using Kappa analysis, RT-SAAM K=0.62, FLMS-2 K=0.75; an improvement in performance by FLMS-2.
The main advantages of these process models are that, they are anchored on the underlying physical process and the results obtained from these process models generally provide a good understanding and interpretation of the system.
This is mainly due to the passivity properties and the evident system structure of Port-Hamiltonian systems that allow an energy interpretation of this system class.
They describe how they bridge the gap between data accumulation and analysis in terms of interpolation with the real physical models when data used for interpretation of the system conditions.
For the axioms of geometry, consistency can be proved by providing an interpretation of the system in the real plane, and thus, the consistency of geometry is reduced to the consistency of analysis.
The current description of this system is based on static interpretation of the system.
By the idea, each path from the root to the leafs can be analyzed for biological interpretation of the system.
However, here we extend the interpretation of the system and corresponding elasticity coefficients to the more general case that includes gene-expression regulation.
The intermediate use of symptoms for the quantification of the context, as opposed to direct description and use of the causes, gives better opportunities for the dynamic, systematic identification and quantitative interpretation of these causes in complex systems and high reliable organizations.
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