Sentence examples for matrices generate a from inspiring English sources

Experimental results have been obtained in a simulated transmission channel to show that the optimized LDPC matrices generate a more robust protection scheme against bursty packet losses for small information blocks.

Objective (a) is achieved by computing state feedback matrices so that the closed-loop subsystem evolution matrices generate a solvable Lie algebra (namely, they are all upper triangular in a common coordinate basis).

Cell growth on defined matrices generated a qualitative "growth profile" for each cell line (Fig. 1, 2).

It is shown that if there is a self-orthogonal 5- 72,16,78) design, then the rows of its block-point incidence matrix generate an extremal doubly even self-dual code of length 72.

The mixing of 30 wt% TiO2 NPs into the PBA matrix generated a superhydrophobic surface (static water contact angle: >150° with a sliding angle of approximately 1°).

While pristine SWCNTs incorporated in a polymer matrix generated a p-type TE material, chemical functionalization of SWCNTs by using polyethyleneimine produced an n-type TE material.

Normally, integrinβ1-FAK signalling, apart from playing a role as a hook to attach the cell to matrix, generates a signal to enforce the cell towards functions such as attachment, apoptosis and differentiation.

Because only a small fraction of transcription factors have been analyzed in sufficient detail to have a position-weight matrix generated, a large fraction of regulatory genes are necessarily omitted.

To this end we constructed a MDJ1 truncation mutant that encodes a fragment lacking the C-terminal 321 amino acids, which after cleavage of the presequence upon entering the mitochondrial matrix, generates a 134 amino acid fragment having the J-domain at the N-terminus (Fig. 3A).

Besides, differential ability of VEGF isoforms in binding to the extracellular matrix generates an "angiogenic gradient" that is now considered of importance in a variety of pathophysiological conditions [ 23].

Namely, for each dataset, we randomly removed 5% entries of the complete matrix to generate a matrix with missing values, and then estimated the missing values using the shrinkage and the original regression-based methods.