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The aim of this study was to define a scheme for multiplex molecular serotyping of L. monocytogenes based on a previously described PCR assay and then to evaluate and compare this new procedure with conventional serotyping by agglutination.
To define a scheme that optimally fulfills all of these requirements at the same time is challenging, and a tradeoff is needed.
In particular, in order to define a scheme that can be lead to improved performance in an MCMC-based Bayesian framework, we have tried to first identify the weaknesses of the state-of-the-art methods related to the definition of these models.
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Using these morphological and texture measurements, it was possible to define a classification scheme for each subregion.
This fuzzy set of grid spacings can then be defuzzified in a more or less conservative way to define a sampling scheme.
In this way, we can determine the cost of each access to the ED, and use this information to define a PPS scheme for ED patients.
This gap motivated us to define an encoding scheme for complex carbohydrates, named GlycoCT, to overcome the current limitations.
This classification was used to define an integrated scheme for sediment transport restoration.
We then define a practical compilation scheme from extended rules to pure interaction rules.
Besides defining right incentives, requesters must also define a suitable reward scheme.
To define a fully discrete scheme, we introduce a time partition.
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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