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The original methodology uses an iterative three-stage modeling approach: Model identification and model selection.
Our modelling approach (Model 2) showed that two successive spatial expansions in small-sized populations generate a trimodal distribution similar to the observed distributions.
But how should we approach model construction and inference to make the most successful predictions?
His longtime friend Steve Fletcher suggested an unusual approach: Model the search for a wife and the wedding itself after a political convention.
Structured approaches like the MVC approach (model – view – controller) are therefore highly beneficial.
Therefore, the best approach model in the estimation of global solar radiation has been determined.
As a new approach, model was equipped with a compound rotor that includes both magnetic and non-magnetic materials.
Combining the CASA (Carnegie-Ames-Stanford Approach) model with data on harvest indices and yields, we calculated net primary production, woody production in orchard and vineyard crops, and soil carbon.
We have integrated generalized isoprene emission algorithms into a process-based simulation model of ecosystem carbon fluxes, the NASA-CASA (Carnegie Ames Stanford Approach) model.
Another three originate from the nature-based paradigm: the natural succession model, the nature-based shortcut model, and the direct approach model.
To demonstrate the approach, model parameters were obtained by nonlinear optimization using measured drop size distributions collected at 50 wt% oil and 1 wt% Pluronic F68 surfactant.
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