This is a reminder that while the focus of attention has been on the two papers, there is a larger landscape for which boundaries have yet to be negotiated.
Among the 40 introns for which boundaries are not conserved, only ten are likely cases of change of a constitutive boundary; other cases are consistent with alternative splicing.
Specifically, "we discarded all predictions lacking a viral hallmark gene or a viral gene enrichment as these are likely defective prophages for which boundaries are difficult to predict in silico and that often include bacterial genes" (subsection "Selection of a relevant subset of viral sequences: the VirSorter dataset").
To this end, we discarded all predictions lacking a viral hallmark gene or a viral gene enrichment (i.e., category 3 predictions, Roux et al., 2015a), and all prophage detections displaying viral gene enrichment only and lacking viral hallmark genes, as these are likely defective prophages for which boundaries are difficult to predict in silico and that often include bacterial genes.
Fortunately, it is easy to deal with the boundary measurements for the proposed network decomposition scheme for which all boundary buses are included in the extended areas.
We are concerned with a particularly interesting case: boundary output feedback stabilization of one-dimensional wave equation system for which the boundary observation suffers a time delay.
Stokes theorem holds for a graph for which the boundary is a graph too.
The waveguide bottom is made of steel, for which the boundary conditions are nearly perfect at the water-bottom interface (full reflection of the raypaths).
From the monotonicity assumptions it is proved, by a similar argument to the shooting method, that there is at least a pair, for which the boundary conditions hold.
In this section, we establish criteria to determine the eigenvalue intervals for which the boundary value problem (1.1 - 1.2 1.1 - 1.2east one positive solution in a cone.
