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Forest landscape models are effective tools for exploring the effects of long-term and large-scale landscape processes such as seed dispersal, fire, and timber harvest.
Watershed hydrological models are effective tools for simulating the hydrological processes in the watershed.
Computational results suggest that the models are effective in evaluating the performance of emergency systems.
Higher level abstractions, particularly those that use visual models, are effective in addressing these challenges.
The proposed theoretical models are effective in understanding and predicting the static and dynamic post-buckling response of beams constrained by movable and flexible confinements.
Land use and land cover change (LUCC) simulation models are effective and reproducible tools for analyzing both the causes and consequences of future landscape dynamics under various scenarios.
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Boundary layer wind tunnel testing using pressure-tap models is effective for measuring these pressures.
Such approach, alongside in vitro models, is effective for screening purposes [1].
In America's race to eliminate the domestic and international achievement gaps, when will blended learning models be effective enough to disrupt the existing mainstream classroom system?
Our DES models were effective in quantitatively predicting these results.
Both CART and BRT models were effective in describing structural missingness in data.
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