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"When they can incorporate things into a mental model, we find much better retention".
By comparing the experimental results with the enhanced wicking model we find good qualitative agreement.
Furthermore, consistent with the model, we find that simply having access to the experimental data does not induce learning.
With this model, we find that the CBT system quite effectively improves the performance of the system.
Using the model, we find the most suitable and spatially coherent management areas outside the heavily used training areas.
In evaluating the model we find that there are different densities of archaeological sites in each landscape type.
On the basis of a multinomial probit model, we find that preferences are indeed susceptible to starting point bias.
By analyzing ensembles generated by molecular dynamics from a single model we find that the BACH energy of thermodynamically equivalent structures is affected by large fluctuations.
Using a logit model, we find that firms carry out ASRs over OMRs to distribute excess cash, increase earnings per share, and increase bonus-linked management compensation.
By varying the membrane coverage of molecules in the Cahn Hilliard model, we find that there is a critical (smallest) neck radius and a critical (fastest) budding time.
Putting the measured fractal dimensions into the JMAK model, we find exponents related to non-equilibrium nucleation rates that qualitatively agree with observations.
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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