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Phase shifts were calculated as the time difference between two regression lines through the activity onsets before and after the pulse on the day of the light exposure.
Phase shifts were determined as the difference between two regression lines through onsets before and after the pulse on the day of the light exposure as compared to animals of the same genotype which were released into DD without extra light treatment.
The phase shifts were calculated based on the distance between two regression lines drawn from the onset of activity before and after the light pulse as described in [38], supported by the custom-made period-detection software based on autocorrelation [39].
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From these analyses, four parameters described each profile: the intercept and slope of the early trend, the difference in slope between the early and late trend and the intersection between the two regression lines.
An intersection between the two regression lines was calculated.
The phase shift is calculated as the difference between the two regression lines on the first day after the light pulse.
These were: 1) the slope of the regression line describing the early course, 2) the intercept of the regression line describing the early course, 3) the difference in slope between the two regression lines (to describe the change from early to late course) and 4) the intersection estimate (to describe when the change in improvement occurs), the so-called "knot".
Since solar activity is effective in the relationship between the critical frequency and the topside scale height, Rz is incorporated into the analysis using a linear interpolation between the coefficients of two regression lines for the solar minimum and maximum.
Although we observed no difference between the slopes of the two regression lines (0.97 ± 0.27 for group B vs. 0.86 ± 0.10 for group C), a shift between the intercepts of the two regression lines was evident.
The relationships between CR-10 and bLa exhibited two regression lines with an intersection during the incremental test for all groups.
The null hypothesis associated with the 'Intercept' item is that there are no significant differences between the intercepts associated with the two regression lines.
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