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A higher index value indicates a higher degree of multimorbidity or poor mental state respectively.
For each item, a higher value indicates a higher quality of the solution.
A lower Km value indicates a higher catalytic efficiency of the enzyme towards its substrate.
The interpretation of a negative coefficient for the model 1-2 versus 3-5 is as follows: the negative value indicates a higher probability to report categories 1 or 2, while a positive coefficient indicates a higher probability of reporting the worse health status.
A higher delta Ct value indicates a higher expression level of the miRNA of interest.
A higher Goodman Kruskal Lambda value indicates a higher likelihood that a volatile compound is predictive for melanoma.
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A high CRI value indicates a high fracture density, and a small CRI value indicates that the carbonate rock is mainly matrix without fractures and vugs.
A 'Precision' of 100% indicates that the software has not identified any additional spikes to those identified manually; hence a high precision value indicates a high accuracy.
The closeness centrality is a measure of connectivity; a high closeness centrality value indicates a high number of interactions with the rest of nodes (or residues).
A high mean Saa value indicates a high disturbance of the electrostatic potentials on this amino acid due to the presences of the peptide fragment.
A high MCC value indicates a high prediction performance.
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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