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By using this measurement model, one can classify hospitals based on the domains they focused on and the profiles they fall into.
Once item parameters are estimated for a population with an IRT model, one can calculate comparable scores on a given construct for patients from that population who were not rated on the same items, without intermediate equating steps.
Based on this M-S-M model, one can estimate the intrinsic parameters of the InSb nanowire.
Using linear model one can calculate estimation of baseline transcript intensity obtained on ideal quality chip: Y j k I = α ^ j k + β ^ j k ⋅ 1.
With this model, one can rapidly and accurately predict the unsteady aerodynamic loads acting on the cascade over a wide range of reduced frequencies and arbitrary modes of vibration.
Using the SAM multiplier model, one can further simulate with various policy options to understand their impact on income inequality in India.
For each model, one can readily find scores of academic articles that isolate and study the key ingredients in excruciating depth.
Using these model, one can simulate tens of thousands of spiking cortical neurons in real time (1 ms resolution) using a desktop PC.
To the casual reader, this might seem no more than mildly troubling, but if one looks at the Royal Court as a model, one can see these findings are devastating.
By properly understanding the rate-determining processes using our model, one can determine the design principle for high-performance hydrogen-storage systems.
In the absence of a reliable mechanistic model, one can resort to the Bayesian nonparametric approach that models the individual curves as Gaussian processes.
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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