Here we propose a method, based on capillary phenomena using 3D capillary valves, that autonomously and conveniently allows us to pattern liquids inside closed chips.
These data allow us to examine patterns of sterility for both hybrid males and hybrid females and relate these patterns to divergence between species.
The notations allow us to maintain pattern-related information in class and collaboration diagrams.
They allow us to detect patterns from few instances, to imagine things we've never seen, and to function robustly in a changing environment.
These data together allow us to map patterns of positive and negative selection as a function of life history, tissue specificity, and habitat use.
Such databases allow us to uncover patterns of demographic and epidemiological structures and processes and hypothesize their causal mechanisms and potential consequences on the health and disease patterns in Africa.
Although the classics were written in response to concrete historical situations, their words allow us to grasp the Pattern at a certain level of abstraction from its instantiations.
Gaining a quantitative understanding of the dynamics of plasmids will allow us to understand harmful patterns of antibiotic use more effectively.
Therefore we investigate, through simulation, various models that will allow us to observe different patterns of epigenetic variation, and characterize how variable those patterns can be.
Static maps allow us to determine what patterns exist, where they exist, how they exist, and identify how they compare to other spatial patterns.
This might allow us to analyze complex patterns of composite variable interactions and multivariate dependencies.
