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First, a high fidelity PDAE based model is built to mimic the real operation and understand its dynamic behavior.
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A fuzzy-logic based model was built in order to assess the relative influence of different ecological and management drivers on glyphosate resistance risk (GRR) in Sorghum halepense (L).
We chose wind technology as a case study and a real-option based model was built to explore the impact of a number of variables and design features on investment decisions, e.g. carbon and electricity price, carbon market risk, carbon price floor and ceiling and on-grid ratio.
A mass and energy balance-based model is built by thermodynamic analysis.
A state-based model is built to fit the input audio to the global structure of speech lip movements stored in our dataset.
A clinicopathological base model was built, consisting of all variables that demonstrated a significant independent prognostic value in the multivariable Cox proportional hazard regression model.
In a first step, a base model was built without air temperature exposure for each category of mortality individually (see Additional file 1, Table S1).
With the above steps, the ES control based energy management model is built and solved through dynamic programming.
A tool based on the model is built, which can be used in design, in creating guidelines for regional energy policies and for versatile what-if analyses.
Afterwards, a numerical CFD model based on the experimental model is built to evaluate the operation of the granary under different solar radiation and wind conditions.
The derivation procedure adopted here helps in understanding not only the model's limitations but also the conceptual background based on which the model is built.
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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