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We further demonstrate that this model successfully characterises related adaptation data from outside the sensorimotor domain.
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The results show that the model successfully predicts the heat needs of pressure reduction stations and, for a typical system configuration, characterised by an expansion ratio of 4.8, a maximum waste energy recovery of about 69% could be achieved when the system is operating at nominal conditions.
The model successfully simulates the pressure measurements made in a bubbling fluidized bed and it is shown that the single measurement of pressure can be used to characterise the entire fluidized bed.
The model successfully predicts the observed results.
The final model successfully explains phase over quadrant responses.
The model successfully predicted domain boundaries.
The TMD-based LeuT IF model successfully captures these observations.
The model successfully classified 84% of the participants (table 2).
The model successfully classified 85% of urban girls (table 3).
The model successfully predicted the dependence on PACS (R = 56.4%).
A two-compartment population PK model successfully describes HuHMFG1 behaviour.
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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