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Slepian model processes appear in several questions concerning structural dynamics under random loads: mainly in problems of reliability, identification (the random decrement method), the modelling of seawave motion non linear dynamics with plastification, and also for random fields.
In the second method, the modelling of the evolution of population allele frequencies was derived from a Wright-Fisher model.
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For the physics-based method, the model parameters are kept constant and will not be updated.
By running a series of simulations (known commonly as the Monte Carlo method), the model allows us to quantify the uncertainty associated with the current polling snapshot.
Also, because of the flexibility of the PLSR method, the model will mimic the characteristics of the surveillance system, perhaps hiding characteristics particular to web queries.
To assess the accuracy of the GP method, the model was trained on subsets of all 260 G-quadruplexes.
Variance components used to estimate heritability were calculated with a mixed model method, the animal model, using ASREML software [67].
Methods: the model was developed using the WinBUGS software.
The letter is organized as follows: in section "Model data and methods" the model, simulations, and analysis methods are described.
For non-recursive methods, the model trained in DB can be directly applied to the next time domain.
Methods: The model consisted of a maternal and a child lipid compartment connected through placental diffusion and breastfeeding.
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CEO of Professional Science Editing for Scientists @ prosciediting.com