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This strategy generates outstanding returns and a very high Sharpe ratio.
This strategy generates a family of m -step iterative algorithms solving large dense matrix eigenproblem of order m.
This strategy generates a non-random sample that has to be treated correctly during the estimation process.
However, clinical research indicates that this strategy generates a cognitive load that reduces the interest of the trainees and diminishes the effects of training.
This strategy generates a distinctive analysis of key normative concepts of Ancient China.
This strategy generates allelic series of the targeted genes which makes it possible to dissect the function of the protein as well as to investigate the role of essential genes that are otherwise not likely to be recovered in genetic screens based on insertional mutagenesis.
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Unfortunately, this strategy generated a significant amount of inconclusive data, unconfirmed findings, and, in general, was not successful.
This strategy generated more than 6500 responses, but they weren't uniformly distributed among departments.
This strategy generated few participants.
This strategy generated the 4326 adjacent cassette exon pairs in human.
This strategy generated six models of all possible comparisons between sources.
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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