Message Sequence Charts (MSCs) are a technique to describe patterns of interactions between the components of interactive distributed systems by specific diagrams.
But what's missing for me are the interactions between the components, like how you get a hereditary molecule to interact with the membrane-forming molecule so those start down the path toward coupled evolution -- beyond assembly -- understanding how the system could self-assemble from chemistry.
Behind each of these questions there is an intricate wiring diagram, a network, that defines the interactions between the components.
While permutation entropy (and statistical complexity) has been used to identify and compare characteristic timescales of the system, it cannot reveal the strength of interactions between the components.
We obtained two types of nanoparticles by manipulating supramolecular interactions between the components.
The nanotube/polymer models were developed with different sets of interactions between the components.
They then attempt to identify how interactions between the components ultimately create the system's observable biological behaviours.
The melting point depression induced by the copolymer was used to quantify the interactions between the components of the blend.
During testing phase, both useful and harmful interactions between the components were diagnosed and arranged in a Reverse Functional Model.
The nature of the interactions between the components of the STMCs, in virtue of their antimicrobial effect against E. coli, were assessed as a function of their individual and combined activities using the Bliss Mathematical Model represented in Equation 1.
An understanding of the underlying processes and the complexity of the interactions between the components is needed to achieve a good control over the printing process and to ensure a high optical quality of the final print.
