The best known formulation of this principle captures the sense of transience and interdependence of all phenomena: "This being, that becomes; from the arising of this, that arises; this not being, that does not become; from the ceasing of this, that ceases" (Majjhima Nikāya, II, 32).
For example, we have already applied this principle to capture the structure of the transcriptome (transcription start sites (TSSs), transcription termination sites (TTSs), non-coding RNAs (ncRNAs) etc).
The starting point is a very simplistic, generic model of inflammation, which has been shown to capture the principles of infection, trauma, and sepsis surprisingly well.
The algorithm, written in MATLAB, captures the principle physical parameters of the carbon foam including bubble and pore diameter ranges and overall foam void percentage while retaining the random dispersal of spherical bubbles found in manufactured foams.
From the single cell level up to the level of developing tissue and organization dynamics, developing models that quantitatively capture the principles guiding each tier of decision making is an emerging field that stands to accelerate tissue engineering efforts.
So for example, if employment history is a better indicator of how hardworking an individual is, the mean of employment status over the survey period should, in principle, capture this effect.
This principle is captured in the notion of "due process" proclaimed both in our Constitution and in the ancient Magna Carta, and in the structural commitment to separation of powers.
This principle seems to capture the idea that if we say something true about an object, then even if we change the name by which we refer to that object, we should still be saying something true about that object.
This principle is best captured by the application building paradigm "Applications = Components + Scripts".
