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When statistically deriving a prediction model, the contribution of clinical expertise prior to model derivation is often minimal.
The model derivation is based on an asymptotic methods related to high frequency periodic source.
Model derivation is based on analytical approach, called matrix structure analysis (MSA).
The approach adopted for the model derivation is the so-called dimensional reduction starting from the Hellinger Reissner functional, which has both displacements and stresses as independent variables.
Stemming from a one-dimensional approach and thanks to a compact notation for the a priori kinematic field approximation over the beam cross-section, the model derivation is made general regardless the approximation order.
To reach this goal we need to make some simplifying assumptions so that the resulting model derivation is mathematically tractable.
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The model's derivation is demonstrated on the LFO tank storage located near the Port of Koper (Slovenia).
Model based test derivation is now widely used for deriving functional tests for various systems including communication protocols and other reactive systems.
An overview of the different models and their derivation is given by Ott [ 77].
However, the derivation of the two models is substantially different in that the cosmic ray number density is explicitly neglected in the two-fluid cosmic ray model and a Chapman Enskog derivation is not used in deriving the cosmic ray hydrodynamic equations.
After the model derivation, which is based solely on physical principles, different techniques for the numerical simulation of the mathematical model are discussed.
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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