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We also reanalyzed the latter model using linear regression to check for linearity of relationship between IGF-1R expression and MP classification.
At last, we developed an initial model using linear discriminant analysis to evaluate the strength of relevant metrics when performing an automated quality classification task.
To illustrate the influence of the alternative wave models, we compute loads at the base of the monopile of the NREL 5MW baseline wind turbine model using linear and nonlinear irregular wave models.
A modal model using linear modes of the straight clamped clamped beam with a randomized stiffness matrix is employed to characterize the linear dynamic behavior of the uncertain beams.
In 2011 [77], Pham et al. built a model using linear discriminant analysis (LDA) method with 674 molecules which reported results: MCC = 0.62, Accuracy = 81.56% (training set), Accuracy = 83.94% (test set).
Finally, changes from baseline will be assessed by a linear mixed-effects model using linear contrasts.
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The model uses linear functions for horizontal velocity and tracers on tetrahedra, and for surface elevation on surface triangles.
The model uses linear threshold nodes.
However, the LR model uses linear combinations of variables, so it is not adept at modeling grossly nonlinear complex interactions [ 8].
Compliant impacts can be modeled using linear viscoelastic constitutive models.
Both the geosynthetic and the facing block were modeled using linear elastic model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com