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If that bursts, America's model may easily turn out to be tomorrow's has-been, especially if, in the longer term, it does not correct its poor education and low saving.
The present generalized model may easily be extended to other geometries and hence may be used in the design of two-phase cooling devices.
It is shown that ad hoc approaches for adapting parameter values for the k ε model may easily fail due to over-parameterization of the underlying model or insufficient data.
Furthermore, the model may easily be adapted to other epidemiological contexts, when the objective is to study changes over time.
The transmission model may easily be estimated with likelihood-based approaches from complete data that consist of the times of colonization and decolonization for each child.
However the Cox model may easily not be the best regression procedure to be applied, simply because of the assumption of proportional hazards.
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Despite the industrial context addressed, the model may be easily applied to small units (e.g., civil buildings) and other energy sources (e.g., thermal energy), thus giving more relevance to the approach proposed.
Our algorithm is built under the Bayesian model selection framework, which may easily incorporate prior biological information.
Moreover, real-world deviations from theoretical simple models of evolution may easily produce artifactual phylogenetic reconstructions under the commonly used models of sequence evolution, and it is still unclear how to capture the historical signal with a minimum of parameters to be estimated from the data [46] [48].
Without thorough sensitivity analysis and parameter space exploration, parameter values extracted using thermodynamic models may be easily misinterpreted.
It has been found that, by changing the magnitude (from zero to infinity) of each concentrated element, one may easily model many problems studied in the exiting literature concerned.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com