Your English writing platform
Discover LudwigExact(59)
Key model parameters were fit with an iterative method using a genetic algorithm and a predefined fitness function.
Their good arms were fit with lightweight fiberglass casts, then they worked with a therapist on shaping movements for their bad arms.
These data were fit with a second-order polynomial.
The adsorption data were fit with a Freundlich isotherm.
Data were fit with a one-site binding model using Origin 7.0.
Hierarchical (i.e., mixed-effects) models were fit with the lme4 package (Bates, Maechler, Bolker, & Walker, 2015).
All samples that were exposed to humidity were fit with a multi-exponential decay equation.
The data were fit with the Allosteric Sigmoidal Equation (A) or the Michaelis-Menten Equation (B).
During the trial, 10 hearing impaired patients were fit with these experimental hearing aids.
The data were fit with both first-order and Michaelis-Menten models.
For H69 tumours, activity concentrations were fit with a declining monoexponential; the effective half-life was determined to 5.8 days.
Write better and faster with AI suggestions while staying true to your unique style.
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