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In WWMM we take the view that semantics can be provided by a number of inter-operating dictionaries which describe the semantics in human terms and also provide a variety of machine-enforceable constraints and interpretations.
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This functional level integration will help generate assumptions, constraints, and interpretation in systems biology.
An advantage of direct observation compared to interviews is that observational data are less subject to participant constraint and interpretation.
Recordings were necessarily made in patients with PD, and their execution was inevitably affected by time constraints and their interpretation influenced by what can be said about the physiological and anatomical basis of examined phenomena in clinical studies.
It is possible to construct simple models of personality and marital surplus in which "preference" and "constraint" interpretations of personality have distinct predictions for empirical relationships between individual traits and marriage behavior.
Convincing geophysical results were compiled to provide realistic constraints to test the experimental results and interpretations.
Our analysis is phenomenological, meaning that we explain and reinterpret existing experimental work, showing how the inner logic of our argument can severely constraint the causes and interpretation of the data we review.
Future studies are necessary to corroborate these findings, yet we believe that the current results and interpretations will provide valuable constraints and hypotheses for future research.
Despite the limitations and uncertainties that these constraints and considerations place on the interpretation of the results, the data are at a minimum consistent with a number of broad interpretations and, in the context of other work, contribute to a more detailed model of lupus immunopathogenesis as follows.
The constraint-solving approach views syntax, semantics, pragmatics, context, and world knowledge as supplying constraints on interpretations that need to be satisfied simultaneously.
The increase in the number and complexity of diagnostic studies, subjectivity in image interpretation, physician time constraints, and high error rates have stimulated the development of computer-aided diagnostic (CAD) tools to help nuclear medicine physicians and radiologists interpret studies at faster rate and with higher accuracy [1 5].
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