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Studies have revealed that the evolution of the interactions of the innovation models has increasingly raised the necessity of a strong civil society in the triple helix.
Building on notions from communication studies and from interaction analysis, we observed the construction and evolution of the interactions through analyzing the artifacts that were produced by a group of students – in verbal talk, gestures, and sketches drawn and text inscribed in GS.
In this way, the evolution of the interactions can be traced and comparisons made within the same planning (and health) system(s).
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Either way, these additional species may influence the future evolution of the interaction.
In addition, the formation and time evolution of the interaction networks present in the simulation were carried out using the NetworkX library [ 101] and the Gephi program [ 45].
Other computational studies focused on the evolution of the interaction network via duplications [ 49] or on simulating models for gene- and/or protein-interactions [ 50- 52].
Insights on the origin of PGRP genes will pave the way to understand the evolution of the interaction between host and pathogens and to lead to the development of new treatments for immune diseases that involve proteins related to the recognition of self and non-self.
Moreover, the evolution of these interactions is not limited to relationships between species within local communities.
The evolution of these interactions has given rise to science parks, technopolis, and at more advanced stages to innopolis.
Then, we relate the observed evolution of these interactions with changing fraction of non-crystallized water determined by means of dielectric spectroscopy and differential scanning calorimetry.
Our results are consistent with the co-evolution of the interaction surfaces of CCT and CPs from Antarctic fishes to yield high binding affinities at low temperature.
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