Sentence examples for matrix has important from inspiring English sources
Recently introduced modified function projective synchronization (MFPS) in which chaotic systems synchronize up to a scaling function matrix has important applications in secure communications.
The specific MYC matrix has important differences with respect to the WAG matrix, both in amino acid equilibrium frequencies and in replacement rates.
A subset of the nanomaterials evaluated in this study may prove to be a viable alternative to standard TiO2 nanoparticles for the removal of DBP precursors from drinking water, but the characteristics of the water matrix have important effects on settling efficiency and will require site-specific evaluation.
The circulant and r-circulant matrices have important applications in numerical analysis, probability, coding theory, and so on.
PDK is located in the mitochondrial matrix and has important roles in cellular metabolism by regulating pyruvate dehydrogenase.
Understanding the molecular mechanisms of cell interactions and their regulation by surrounding matrix cues has important implications for biotechnology (production of cells and cell products) and medicine (tissue engineering, prosthetic implants, cancer and developmental biology).
Estimating the bounds for the minimum eigenvalue of M-matrices is an interesting subject in matrix theory, it has important applications in many practical problems (see [3]), and various refined bounds can be found in [3 9].
Estimating the bounds for the minimum eigenvalue (tau(A)) of an M-matrix A is an interesting subject in matrix theory, and it has important applications in many practical problems [4 6].
Vice versa, the extracellular matrix has an important role in the regulation of chondrocyte function.
Incubation of cells with Triton X-100 and DNase I before fixation and mAB328-staining removed Jmjd6 and DNA completely, indicating that this matrix has an important effect on Jmjd6 localization.
The distribution of the eigenvalues of the sample covariance matrix (SCM) of data has important impact on the performance of signal processing algorithms.
