Nonetheless, an IELTS-funded study by O'Sullivan and Lu (2002) found relatively few deviations from the fixed frames in the first two parts of the test, whilst more deviation was noted in part three, although the impact on test-taker output was minimal.
More precisely, this deviation is defined as (frac{p^* - p}{p^*}), where p is the profit considered and (p^*) is the optimal profit.
However, the standard deviation is more than twice that of the FCM clustering, and this suggests that the FCM delivers more consistent and reliable separation of the sources.
Previously [8], we showed that in similar data sets, both these measures result in similar precisions, but the standard deviation is more sensitive to shifts in atomic column position imposed by STEM instabilities, making it a more appropriate measure for these results.
This deviation is more for the lower specimen size and seems to be converging at higher specimen size.
If the deviation is more than 20%, the plant will be penalized by 3000 yuan/(104kWh) according to the integral electricity.
The transmission peaks remain at the minimal value (0.3) and the filters are not optimized since the standard deviation is more than 50% of the energy mean among the bands.
In addition, changes in R for 50 to 100 s periods smaller than those for 100 to 200 s can also be represented as a result of the h deviation, because that deviation is more influential on the instrumentation responses at periods closer to the 360-s corner.
This deviation is more pronounced with RCR plasmids that have the same non-shifting GC skew.
The same is true of the dataset with the cutoff at 600, although, here, the deviation is more moderate.
