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Uncalibrated models with sufficient land use information reach performances comparable with those of calibrated models.
Creating models with sufficient complexity to replicate these systems is a difficult challenge but can provide insight into problems that would otherwise not be possible.
Such numerical models with sufficient prediction accuracy can be further extended for applications to the design of the steel anti-collision devices subjected to vessel impact loadings.
The yielding strength, debonding strength and peak strength of the beams can be predicted by the proposed models with sufficient accuracy.
Physically plausible projections are challenging9: numerical models with sufficient spatial resolution to simulate grounding-line processes have been too computationally expensive2,3,10 to generate large ensembles for uncertainty assessment, and lower-resolution model projections11 rely on parameterizations that are only loosely constrained by present day changes.
We explore two well-known modeling approaches, Cox models and Markov chains, and using an illustrative example, demonstrate how they can be translated into informative analytic models with sufficient flexibility to analyze programs with diverse structures.
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To bridge the gap, an intermediate step is taken to construct a scalable brain model with sufficient biophysical details.
The primary outcome of the research is a model with sufficient accuracy for predicting BRB failure in engineering applications.
And when it comes to whipping fluffy mounds of egg whites for meringues or macarons, these workhorses (be sure to choose a model with sufficient horsepower) are worth every penny and inch of counter (or cabinet) space.
However, presently used system codes often lack a plasma model with sufficient level of realism in terms of description of plasma processes and non-linearities.
As a result of the data comparison can be concluded that the experimental test was replicated by the numerical model with sufficient accuracy.
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