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Kinematic variables (i.e. reaction time (RT) and movement time (MT)) together with parameters of the Delta-Lognormal model and Sigma-Lognormal model were extracted from the movements.
After running the GA procedure, the optimal weight factors associated with PLCM model were extracted.
The input parameters of the model were extracted from the satellite imageries, DEM analysis, soil maps and field observations.
In the exploratory factor analysis (see Table 6), six factors corresponding to the reflective constructs in our model were extracted.
Parameters for the empirical model were extracted from the measurements at different locations inside the cabin: aisle and seats.
After iterative granulation of original time series, the concepts of cloud model were extracted for each granule from original data space to feature space.
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An empirical model was extracted and verified using confirmation test.
The control parameters of the model are extracted from Direct Numerical Simulations (DNS) statistical data.
A level-1 model was extracted, for use in circuit design.
Then it is expressed by simple mathematical expressions for a broad parameter range and its lumped element model is extracted.
In the code synthesis phase, the software part of the system model is extracted and synthesized to cyclic code.
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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