Just as in the case of Log rule, magnitude of vector sets the width of partition about the axis.
This is a queue-aware nonopportunistic scheduler which, in each subframe, allocates the next available RB to a user, and then updates just as in the case of Log and Exp rule.
In the case of logs, users often find themselves looking for the proverbial needle in the haystack, or, to be more accurate, hundreds of needles sprinkled across a field of haystacks.
As in the case of log gains, a sensitivity value of (positive or negative) p indicates a p% change in some outcome measure due to a 1% increase in the parameter of interest.
In the case of logs this includes the species, log number, class, length, mid-girth, volume and serial number given by the receiving depot.
In the case of log-linear models, consistency across participants in the magnitude of the effect can be determined by exploring interactions between participants and the observed frequencies of signal + noise and noise responses (if the interaction term is nonsignificant, the observed frequencies are consistent across participants – see Altmann & Kamide, 2007, fn 1).
As with the cases of power-law aperture distributions, in the cases of log-normal aperture distributions, the length of the backbone of sub-networks decreases nearly linearly with an increasing portion of fractures being eliminated, based on the flow simulation results.
While the isolation of the cause-effect sequence due to the two electric fields is possible for relatively shorter duration/isolated storm events, such a task is not easily accomplished in the cases of log duration event sequences (see also, Scherliess and Fejer 1997).
No velocity discontinuity was observed in the case of the log-log plots of velocity versus volume for the three fluids.
