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The goal was to demonstrate this idea in action, not talk about it.
We demonstrate this idea with a simple model of subsidizing contributions to a public good.
To demonstrate this idea, we have developed two customized memory decoders.
To demonstrate this idea, we have studied the hydrogen complexes of typical superhalogens LiF2, LiCl2, BeF3, BeCl3, BF4 and PF6.
A prototype tool, called WebCheck, has been developed with a programmable document level icon bar to demonstrate this idea.
To demonstrate this idea, we examined LPS-induced hepcidin expression in the AML12 cell line and in primary hepatocytes from various TLR4 signal-related gene-deficient mice.
To demonstrate this idea, we measure the total noise power of the upper mechanical sideband at various measurement cooperativities as the squeezing phase, θ, is rotated.
I'll focus on a few topics to demonstrate this idea: building scene representation for both object geometry and physics; learning expressive dynamics models for planning and control; perception and reasoning beyond vision.
Below we will demonstrate this idea in two different scenarios: time series data from rs-fMRI and multi-class disease classification.
To demonstrate this idea, in the following description, we use a basketball video that lasts 1 hour and includes 38 close-up, 45 normal, 40 highlight, 6 relay, 5 penalty, and 5 foul.
The two studies below demonstrate this idea.
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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