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This model explains the phase separation phenomenon.
This model explains the slow activation kinetics of Ih associated with low concentrations of cAMP.
This model explains the dependence of voltammetric curves on the film thickness and uncompensated resistance.
This model explains the observed temperature dependence of the yield stress of the compressed nanopillars.
This model explains many of the mineralogical, textural, and environmental features of Late Archean and earliest Paleo-proterozoic iron formation.
This model explains the central mystery surrounding prional disease, namely, their contagious nature in the apparent absence of nucleic acid.
This model explains the unusual behaviour of the reaction, starting at the centre and spreading homogeneously outwards.
The feed-forward model simply uses the pattern of inputs to the cortex; while this model explains orientation preference, it cannot explain orientation selectivity.
This model explains 52% of the variability of soil depth in the catchment; with a prediction variance of 0.05 to 0.19.
This paper describes the key elements of this model, explains the rationale of using particular elements, and discusses the evaluation of the model using an engineering design example.
This model explains 13% of the variance.
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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