Importantly, the random matrices identified as being different from the accumulated distribution would not be considered valid, simply because they were constructed to be random.
Particle debonding in combination with subsequent plastic void growth and shear yielding of the matrix are identified as major energy dissipating mechanisms in all three regimes of FCP.
The large components of a deviating eigenvector computed from the Pearson correlation matrix are identified as gene members that belong to a specific functional module involved in a similar cellular pathway.
For the BZD dataset fingerprints, 103 out of 1000 random matrices were identified as different and for the MT (norepinephrine) dataset 727 were identified as different.
For pathway core gene set, matrix [6,2,1,8,7,1,8] was identified as the optimal matrix.
In a Boolean network the sign of the coefficients of the connectivity matrix identify a TF either as an activator (changing the state of a target according to [0,1] → 1) or as an inhibitor ([0,1] → 0).
Fibre failure, damage at fibre ends, debonding and damage growth in the matrix have been identified as damage mechanisms for these materials.
After decellularization, the architecture of cell-deposited ECM was characterized as nanofibrous, collagen fibrils and the matrix components were identified as type I and III collagens, fibronectin, and laminin.
The importance of the transition from subadult to adult (transitional matrix element) was identified as an additional factor in maintaining abundance based on the relatively long period spent in this life-history stage (seven years for females).
