Given that local within-block probabilities remained constant across conditions, any change in MMN size was considered a reflection of more rostral brain regions enabling a longer time scale (across-block) representation of event-probability extraction.
For moderately sized tiles, the algorithm exhibits ∼60% strong and weak scaling efficiencies up to 48 cores, and linear time scaling across datasets ranging over three orders of magnitude.
Our data indicate that the respiratory activity of yeast also shows fractal scaling with multiple outputs in different time scales across at least 3 orders of magnitude.
However, the disparate life histories within the Insecta have a considerable impact when comparing evolutionary time scales across taxa.
We checked the consistency of our assumption that the diffusive flux is rapid by verifying that the time scale for diffusion across the depletion depth, τ d = d/(2 D), is much smaller than the time scale for a sheet growing across the depletion depth, defined by L(t + τ g ) – L t) = 2 d.
Because grain size evolves toward local equilibrium rapidly compared to the time scale of advection across the height of the domain, the model results we present are insensitive to the choice of grain size at the inflow boundary.
There are an enormous amount studies on GNSS-estimated PWV distribution, variation, and trend for varying time scale over various locations across the world leaving behind a few such analysis over the Turkish territory (Ansari et al. 2016).
For many models, the specifics of cell division are not important to the study but the act of division and the resulting growth of the cell population may be very important, especially if the time scale of interest extends across numerous cell divisions.
The greatest distinction among the competing models for anterograde transport (reviewed in Rothman, 2010) is whether the 4 6 cisternae typically comprising the Golgi stack are proposed to be static or mobile over the time scale of protein flow across the Golgi (typically 5 20 min).
We observe a heterogeneous distribution of long time scale dynamics across the system.
The individual patterns are difficult to discern at this time scale, but some variety across neurons and across trials can be appreciated.
