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This approach has enabled the model to be obtained in two different forms, weakly non-hydrostatic and fully non-hydrostatic, with the computationally efficient weakly non-hydrostatic form applicable to motions having horizontal scales greater than the local water depth.
The parameter choice above enabled the model to oscillate at 40 Hz for which the phase-lag was computed.
This Monte Carlo procedure enabled the model to efficiently integrate over the environmental uncertainty associated with imprecise geographic data.
From an initial target group of 35,000 youth, tsunami funds enabled the model to be rolled out to six rural districts which will benefit most of Kedah's 900,000 youths.
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This improved component enables the model to predict uniaxial ratcheting with more accuracy.
This enables the model to be applied to the prediction of the full stress strain profile through yield.
This approach enables the model to handle fast and near-equilibrium reactions without a significant increase in computational burden.
The results enable the model to be used in the design of optimum greenhouse systems for tropical lowland Indonesia.
A multi-lump method enables the model to simulate both tube and fin frost thicknesses and surface temperatures.
The weights for services in the objective function of the resource allocation component enable the model to have prioritisation among services.
The combined model also includes a term enabling the model to react inversely to large deviations between the actual values and forecast.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com