We show that in order to explain the observed signal of cells expressing different FPs it is essential to consider the in vitro brightness weighted with the expected fraction of fluorescent or "bright" FPs dictated by the maturation time.
Carrying out these steps many times produces pm, the expected fraction of times the P value exceeds α for a given λ and L. Then log10 pm/α) is calculated.
We show that the expected fraction of single peaked lightcurves should be less than 20%, while the observations seem to show a larger fraction.
We conclude that the thermodynamic limit for the bainitic transformation can be used at least to provide a lower bound to the expected fraction of retained austenite under specific IA + BIT treatment schedules.
The total number of trials that would need to be performed to reach this many post-selected events as a function of source and power could be calculated by simply dividing by the expected fraction of events passing the post-selection criteria.
Then, the achievable throughput for secondary users can be defined as the expected fraction of idle periods under D0.
It is defined as the sum of the difference between the fraction of edges falling in each given community and the expected fraction if they were randomly distributed.
Consequently, the expected fraction of hosts that are not parasitized is the probability that a Poisson random variable with mean ay takes the value zero.
Similarly, the interference ratio can be defined as the expected fraction of busy periods interrupted by the secondary user's transmission and expressed as a function of a sensing interval, denoted by I TI).
It measures the fraction of edges falling within groups of a given network partitioning as compared to the expected fraction of edges in these groups, given a random distribution of links in the network [17].
Modularity is a measure of community density in a network: It measures the fraction of edges falling within groups of a given network partitioning as compared to the expected fraction of edges in these groups, given a random distribution of links in the network [36].
