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No public biofuel policy, meaning an ensemble of coordinated actions implemented with the objective of obtaining a change in, or an evolution of, a given situation, exists today.
Compared to the methods widely used for the development of communication research testbeds, the described design flow focuses on the evolution of a given system specification to a final ASIC implementation through multiple design representations.
It is thus important, and relevant for applications, to understand which is the interplay between the nonlinear character of the evolution of a given bosonic system and the strength of the nonclassical features that we are able to correspondingly enforce.
Comparative studies using hundreds of sequences can give a detailed picture of the evolution of a given gene family.
Large scale studies using hundreds of sequences can give a more detailed picture of the evolution of a given gene family.
The MLST method is based upon phylogenetic comparison of conserved housekeeping genes and is therefore well suited to follow the path of evolution of a given set of genes by point mutations [63], [64].
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The ratio of nonsynonymous changes per nonsynonymous site (dN) to synonymous changes per synonymous site (dS) may provide a good measure of adaptive evolution on a given locus because an excess of dN over dS (i.e., dN/ dS >1) is expected under adaptive evolution.
We also found that, despite different assumption and modelling approaches, rates of evolution for a given F value reported in 10 of 13 modelling studies were not significantly different.
The Hamming distance distribution can be considered as a "semi-global" characterization of time evolution: for a given time window, the size of this characterization is the number of nodes (to be compared with probabilities on a time window whose size is 2 nodes).
The robustness and stability of the oscillation at different diffusion coefficient D can also be quantified by the phase coherence ξ, a measure of the degree of periodicity of the time evolution for a given variable [26].
We first estimated the three scaling parameters, λ (lambda), κ (kappa), and δ (delta), modeled in BayesContinuous, which can allow tests of the tempo, mode, and phylogenetic associations of trait evolution for a given phylogeny [28], [36].
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