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Figure 5 facilitates a comparison between the experiments using the TempDat and StandTempDat datasets.
Moreover, the smaller the voxel size the most noticeable difference between the experiments using raw and color features.
In addition to this numerical information, Fig. 3 presents a brief comparison between the experiments using the PrecDat and StandPrecDat datasets.
In fact, the experiments using standardized precipitation and temperature can facilitate a connection between the experiments using the same data in their original form and the experiments using the simulated datasets.
The concordance between the experiments using different protocols ranged from 0.562 to 0.796, with a median of 0.652.
Because there were no significant differences in the primary outcome measures between the experiments using the two different meal-priming boluses, the two groups of experiments were combined for these analyses.
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The Kruskal-Wallis test of analysis in SPSS (version 10.0) software will be used to study the significant change between different cells in the experiments used in this study.
Rectal temperature was maintained between 34 37°C throughout the experiment, using a thermostatically controlled heating pad beneath the rat and an infrared overhead lamp for maintenance of tumor temperature.
They showed good correlation (r2 ≥ 0.56) between the three experiments using the same LCLs.
The experiment used a between-subjects design that manipulated only one variable: the type of confidence scale used on the yes/no recognition test.
In addition, there was no overlap in the identified pathways between the sensitive and the resistant experiments using the Plus2.0 array.
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