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Figure 11 Comparison of Z yx at KAK with and without trend correction.
The trend correction works to reduce the confidence limit (the error bars) for periods shorter than 7 × 105 s.
The trends at τ2 = 10−4 (red diamonds) and τ2 = 10−5 (orange circles) are removed from E y, while no trend correction is applied to E y (blue squares).
Z yx at KAK after the trend at τ2 = 10−4 or τ2 = 10−5 is removed from E y, compared with the equivalent value for no trend correction (Figure 11).
We applied a terrain correction with a 10-m DEM released by the Geographical Survey Institute (Sawada et al. 2015), a slab correction (Furuse and Kono 2003), and a plain trend correction, in addition to normal correction procedures (e.g., tide, drift, free-air, and Bouguer corrections), to the compiled gravity data.
Trend correction for first and second order was repeated after outlier correction.
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Functional data were pre-processed including Gaussian spatial smoothing (FWHM = 8), temporal filtering, removal of linear trends and movement correction.
In addition, there was a trend toward correction of CD4 SP thymocytes in these mice, although this correction did not reach statistical significance (2.39±0.88 vs 16.75±14.25×106; CD4 SP, mean ± SD; EGFP vs Myr-ZAP-70; N = 3).
This was accompanied by a 58% decrease in adipose tissue Adipoq mRNA content as compared to control (ANOVA, F 9,7) = 6.15, p = 0.038, Figure 2C), that showed a strong trend after correction for multiple comparison (p = 0.06).
For more than two groups, one-way ANOVA was used, with post tests for trend or correction (Bonferroni) for multiple comparisons.
Noteworthy trends (p<0.05, chi-square for trends without correction for multiple comparisons) were noted for a number of these agents.
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