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Power gating and motor speed decoding are continuous processes that have critical clocking constraints beyond the capabilities of bus operation to and from the I/O board.
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Locations and edges have an associated set of clock constraints called invariants and guards, respectively.
On the contrary, asynchronous circuits, which have no clock constraints, are capable to adapt to delay variations.
To evaluate whether the Ligia sequences examined exhibit clocklike behavior, we used a Likelihood Ratio Test on the likelihood scores obtained with PAUP* [v. 4b10, 41] of the tree in Figure 3 with and without molecular clock constraints.
To estimate the divergence time among the AGOs, the molecular clock test was performed by comparing the ML values for a given tree topology with molecular clock constraints to a topology, and without the molecular clock constraints under the JTT (+G + I) model [ 50] by using MEGA 5.2.
The molecular clock hypothesis was not violated, as likelihood scores of trees constructed with and without molecular clock constraints were not significantly different (χ2 = 44.8 d.f. = 176, P > 0.05).
We tested whether our Acacia consensus tree obeyed a molecular clock hypothesis using MEGA5 by comparing the ML value for our topologies with and without the molecular clock constraints using the GTR+I+Γ model of evolution.
In order to test if the mtDNAs evolved clock like a likelihood ratio test was performed in MEGA5 (Tamura et al., 2011) by comparing the maximum likelihood (ML) value for the given topology using only the modern strains with and without the molecular clock constraints.
The Clock Constraint Specification Language (ccsl) is a companion language for MARTE.
A clock is a continuously evolving variable with a rate of 1. I: L → (oint) (X) is a mapping that assigns to each location a clock constraint, its invariant.
The Clock Constraint Specification Language (CCSL), first introduced as a companion language for MARTE, was devised to offer a formal support to conduct causal and temporal analysis on MARTE models.
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