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It can be seen that the performance of RVQ feedback and conventional feedback changes very small with different number of users.
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From pre to post treatment, large (> = .80) within-group effect sizes were found for the NET and NET-R groups on PTSD, GHQ-28, anxiety and depression, positive changes and negative change; very small (<=.20) within-group effects were found for WL group on the PTSD, depression and negative change.
As discussed above, these changes represent very small quantitative changes in the parameter values and depend on the (somewhat arbitrary) choice of cut-off between regulatory categories (compare scatter plots in Figures 2.2 and 3.2 in Additional file 1).
Forecast models predict these changes, but, because the changes are slowly evolving, the change is very small compared with the fast weather changes that are also predicted in the forecast model.
If evolution cannot proceed by genetic changes with very small phenotypic effects, then how are the many potentially deleterious effects of large phenotypic changes avoided?
As expected, these changes are very small as compared to the physiological noise and a reliable detection of the signal change would require a large number of measurements.
The structural changes are very small under applied electric field.
Even changes in very small population sets can have devastating consequences.
Although the interactions with binding sites improve, the changes are very small, except for the reduction in atomic clashes.
However, the ion concentration changes were very small, which is in good agreement with the small contact angle alteration in the aforementioned section.
The predicted changes are very small because of the large distance from the surface to the source anomaly located at a depth of 2000 m.
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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