To get concrete values, a power law assumption produces the required concave up behaviour while still allowing the actual rate of increase to be adjusted: (1.13) f (N ) = α N p ; p > 1 A value p = 2 to reflect the size of the adjacency matrix that fully specifies the network seems reasonable, but the choice is left open for now.
Due to the adequate sensitivity of the method we opted to consider MRD as the dilution of matrix that fully mitigates the impact of matrix on the back-calculated analyte value (in this case, a dilution factor of 6).
The SS-MC algorithm produces completed trajectory matrices that can be joined to generate a fully completed (past and future) measurement matrix.
Osteocyte expression of SOST [ 36] and DMP [ 37] is a delayed event and it is produced only by osteocytes after they become embedded deeply in matrix that has been fully mineralised.
Therefore, these matrix properties might have influenced the behaviour of osteocytes, stopping them from expressing those mature markers; whereas E11 and MEPE are early markers and they start to express when osteocytes are in the process of embedding into the matrix that is not fully mineralised [ 38].
For the future, plasticity, indeed all stem cell biology, must be considered as part of a larger web of cell-to-cell and cell-to-matrix interactions that function fully only at the tissue level; thus, the success of stem cell biology necessarily must involve assembling data from cell and molecular biology research into systems of interactions that might be reasonably called "tissue biology".
The discrete model thus obtained is linearized by Newton's method, resulting in a linear system of equations with a symmetric positive definite coefficient matrix that is solved in a fully coupled manner by a preconditioned conjugate gradient method.
The discrete model thus obtained is linearized by Newton's method, resulting in a linear system of equations with a symmetric positive definite coefficient matrix that is solved in a fully coupled manner by a preconditioned conjugate gradient method in matrix-free form.
The neuronal matrix that controls salivation is not fully understood.
Although it suffers from some matrix effect that cannot be fully compensated by the use of odd-chain internal standards, we managed to evaluate this effect and control it, achieving very promising results from human plasma.
The achieved performance proves that fully depleted monolithic active pixel matrix might be a viable option for a wide spectrum of future applications.
