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The great lesson for all those who use mathematical models as tools to understand the real world is that models provide insights, not answers.
Simulation models provide insights and uncertainties in soil-atmosphere-biosphere fluxes.
Many current architectural models provide insights into the mechanisms of plant development by incorporating physiological processes, such as the transport and allocation of carbon.
The predictive model and data combinations of the regional climate change models and the hazard assessment models provide insights into regional and subregional impacts of climate change and will be useful in planning and land management activities.
Extensive numerical experiments illustrate how cash-flow NPV models provide insights into the value of planning for shortages and strategic choices about the design of the production-inventory system.
The sequential analysis of previously published limited-absorber model, and the isolated and embedded all atoms models provide insights concerning the relative contribution of surface vs. subsurface atoms to adsorbate induced ligand effects and charge compensation provided by the bulk lattice.
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Full kinetic models provide insight into enzyme mechanism and kinetics and also support bioconversion process design and feasibility assessment.
QSAR and molecular docking models provide insight into the mechanism of inhibition and indicate the optimal direction of future synthetic efforts.
The developed models provide insight into how the overall process-flow could be affected by errors (variability) due to both physical and data transfer across multiple systems.
Both models provide insight into the syndrome.
Models provide insight into the effect of interventions given a set of underlying mechanistic assumptions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com