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This model identified age, treatment, tumor location, and tumor size as significant predictors.
Chemical as well as genetic inhibition of metabolic candidates in this model identified targets such as PEPCK that could effectively block tumour growth.
This model identified several amino acid residues as ligand-contact points inside the LBD.
In silico selection using this model identified several new DNA sequences, which were experimentally found to have histone octamer affinities comparable to the highest-affinity sequences known.
This model identified sub-events based on the burstiness of the input data stream and the word distribution of the main event.
This model identified transient hypothyroidism and wide-ranging dysfunction in thyroid hormone signalling pathways.
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This model identifies conditions under which the viewer (i) skips the ad or (ii) engages with the advertiser.
This model identifies two complementary impact pathways, the familiar "innovation adoption pathway" as well as a less familiar "empowerment pathway," which builds local capacity to engage with and ultimately to lead local processes of innovation and technology development.
This model identifies (1) coeval geomorphological expressions of the depositional profile and (2) the stratigraphic evolution of depositional cycles at every profile position.
This model identifies the preliminary (mediating) and secondary (moderating) role of drug expectancies as important operations involved in the development of substance use patterns.
This model identifies and prevents selfish behaviours.
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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