Your English writing platform
Discover LudwigExact(10)
Frequency domain measurements with further tuning of numerical modeling parameters were used to extract circuit parameters.
Subsequently, significant differences in pore size distributions are observed depending on which modeling parameters were used.
The influences of various modeling parameters were assessed using analysis of variance (ANOVA) and design-of-experiments (DOE) principles to perform screening of 12 structural parameters.
The resulting QMEAN score of 0.725 indicates that the modeling parameters were successful, based on a scale of 0 1, with 1 being the most ideal.
The modeling parameters were estimated based on the reduction of the effect for unconscious processing compared to conscious processing (as in Experiment 1) and the effect size for intact vs. shifted visible faces (around 50%).
However, due to the lack of experimentally measured values, several modeling parameters were estimated or were varied over a broad range such as the volume fraction of myocytes, fibroblast, and extracellular space and the intrafibroblast conductivities.
Similar(50)
Generic modeling parameters are established for the STM procedure, enabling the models to be adapted to new repair applications.
In addition, sensitivity study on key modeling parameters are conducted.
Design and modeling parameters are obtained via regression from four sets of experimental data.
Given the gear sizes, the transmission path effect modeling parameters are estimated.
The technology dependent MOSFET modeling parameters are extracted from characterization measurements, datasheets and PSpice simulations at various temperatures.
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