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There was no statistically significant difference comparing the changes between the two fire departments.
The chlorophyll index (CI) did not show any significant changes between the two sites.
Our analyses also clarify the industries in which value added significantly changes between the two scenarios and two periods.
The analysis shows a significantly high coherence of water level changes between the two time series (~0.92).
The purpose of this study is to compare the skeletal and dentoalveolar changes between the two treatment protocols.
The changes between the two diets were statistically significant for cholesterol (P<0.01) and triacylglycerol (P<0.03).
The null hypothesis is that there is no difference in treatment effects for the sagittal, vertical, and angular changes between the two maxillary protraction protocols.
However, traditional correlation-based image matching methods will fail when there are large rotations or significant scale changes between the two images.
We can see that the distribution of gray value for Figures 3 e) and 3(f) is similar (There are also some illumination changes between the two images).
In regard to the FMA angle, our results are in agreement with previous investigations that reported non-significant changes between the two treatment groups [17, 30].
There are so many changes between the two (see, for example, the character of Gandalf) that they were going to have a hard time reconciling using the same actors for both.
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CEO of Professional Science Editing for Scientists @ prosciediting.com