Clusters of homologous TCs were obtained using all-by-all BLAST nucleotide similarity searches [ 70] on the filtered and trimmed TCs (low-complexity filter DUST turned on; maximum Expect (E) value of 1.0e-10 1.0e-10
The impact of boys is therefore not derived from a potential efficacy on boys but well on the maximum expected impact on girls.
Furthermore, for consequence assessment and countermeasures application, it is more realistic to rely on the maximum expected dosage rather than on the actual dosage.
The length of the search window depends on the maximum expected velocity for the road and the time difference between the two images.
Based on the maximum expected value of perfect information estimate of €3008 €31888 using the hospital price for trabectedin), the value of additional parameter information is likely to be low.
The variation of the inertia weight in the PSO algorithm is based on the minimum and maximum expected weights as well as the current and maximum iteration step (Eq. 23).
Similarly, the standard deviation from our protocol is lower than all other protocols on both minimum and maximum expected behavioural response.
Our task is to compute a policy that obtains, based on the information state, the maximum expected reward for a single action.
This settling velocity distribution (Macedonio et al. 1990) was adopted for the definition of the "Maximum Expected Event", on which the 2001 Vesuvius Emergency Plan was based (DPC 2001).The terminal settling velocity distributions shown in Fig. 5 b and c, were derived from the TGSD introduced by Cioni et al. (2003) and identified as "79 type" (here, VSET-79) and "1631 type" (here, VSET-1631).
Using the HMM in conjunction with state prediction, we derive thresholds on the probability space for the action policy, which specifies the optimal action achieving maximum expected utility based on the predicted probability.
EM performs repeatedly between an expectation (E) step, an expectation of the likelihood of the observed variables, and maximization (M) step, which computes the maximum expected likelihood found on the E step.
