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The primal and dual models provide the quantities and prices, respectively.
The AASHTO shear-friction and the SMCS models provide the best correlation with the experimental results.
The suggested metrics created by the models provide the framework for generating complexity-based risks.
These models provide the fatigue life of members but do not predict the strain and stress distributions across the beam.
These simulation models provide the means to solve the field problems based on differential equations in the specialized engineering applications.
Metabolic pathway models provide the foundation for quantitative studies of cellular physiology through the measurement of intracellular metabolic fluxes.
Mathematical models provide the most compact and informative representation of a hypothesis of how a cell works.
Process-based GIS models provide the opportunity to identify such critical areas and hence better target diffuse pollution abatement actions.
These models provide the basis for quantifying the relative operating costs for both systems on annual and life-cycle bases.
Airflow models provide the contaminant concentration data, to which an optimization method can be applied to design sensor systems.
Richer and complex state models provide the means for more powerful, granular and expressive policy rules, which allows for policy that better represents particular healthcare concerns.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com