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The results show that facial features offer better accuracy for emotion prediction, but the EEG signals convey emotion-related information that could not be found when analyzing the face.
Finally, interesting linguistic patterns can be found when analyzing the tag cloud of lexical vertex walks in the dataset on binary binding (Fig. 8).
In the total sample fallers were significantly older than non-fallers; the same could be found when analyzing men and women separately.
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A quadratic trend in the generated data (Fig. 2) was found when analyzing the data.
The same results were found when analyzing the average ages of the memories associated with the words.
(No significant effect was found when analyzing false alarm rates).
Similar results were found when analyzing expression in sorted PSA-NCAM+ cells by comparison to the negative fraction.
No association with disease, in relation to disease activity and radiological changes were found when analyzing the whole study population.
Exactly the same situation is found, when analyzing the sequences of ERs from another fish model, the medaka Oryzias latipes.
Although no significant differences were found when analyzing macrophage influx (Fig. 5B) we did find lower levels of MCP-1 (t = 7) in TLR2−/− mice compared to TLR2+/+ animals.
Very few significant differences were found when analyzing transcriptional data in the same manner–just 26 genes differed in the IPF myofibroblasts and no genes differed in controls when comparing non-contractile vs. contractile matrices.
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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