Leg muscles also express membership in either the flexor synergy for leg protraction (swing) or the extensor synergy for leg retraction (stance) during walking, swimming and airstepping [2].
(Scheffels, 2008, p. 120) It was found that being a smoker could enhance social power, since it helped individuals to feel included, express membership of their social groups, and maintain an identity that was valued within these groups.
The focus on things like meal kits, snack items, and pre-made food also fits with Amazon's push for its express Prime membership service and general focus on convenience.
Since the performance measures are expressed by membership functions rather than by crisp values, more information is provided for designing queueing systems in real life.
Since the performance measures are expressed by membership functions rather than by crisp values, they completely conserve the fuzziness of input information when some data of bulk-service queuing systems are ambiguous.
Naturally, as the search space grows larger, due to a larger number of expressed multi-membership genes or growing number of pathways to which such genes can be assigned, the algorithms require more iterations to converge.
By implementing the removal of the genes from each pathway that contradict the expression of the majority, we have observed that, on average, about 30 genes remain unassigned, corresponding to about 20% of all expressed multi-membership genes per experiment.
Table 5 is produced by merging Table 4, to only show each possible hamming distance and the corresponding probability of observing it by chance, for a set of two expressed multi-membership genes.
The hill climbing and simulated annealing methods are roughly equally efficient, with the hill climbing being slightly faster, while the simulated annealing being able to reach slightly higher fitness values, in experiments with large number of expressed multi-membership genes and thus larger search space.
Figure 6 shows the mean number of iterations required for the algorithms to converge, while Figure 7 represents the same data in an ordered fashion from the experiment with the least number of expressed multi-membership genes and possible positions for gene allocation to the experiment with most such positions.
To determine whether differences in environmental exposure between the case an control families could explain the difference in cancer occurrence, another logistic model was fitted to predict cancer occurrence in each family member based on age, sex, the occupation/industrial exposure pack-years of tobacco exposure and a variable that expressed family membership (case or control).
