Sentence examples for matrix and combined from inspiring English sources

CS was used as matrix and combined with bioactive glass (BG) particles to produce a series of bioactive composite coatings with potential for orthopedic and dental applications.

In the paper, using the identical deformation of matrix, and combined with some elementary inequalities, our purpose is to derive some new results on the trace inequality for positive definite Hermitian matrices.

The analyses of nuclear genes (i.e. ITS, ACO, DEF4 and RAD51 data matrixes), plastid data matrix and combined data matrix were demonstrated by one of the most parsimonious trees (see Fig. 5; Additional file 4: Figure S1, Additional file 5: Figure S2, Additional file 6: Figure S3, Additional file 7: Figure S4, Additional file 8: Figure S5).

Generally, each source topology is converted into a data matrix and combined with other topological matrices.

By using properties of the Laplacian matrix and combining the stability theory of impulsive systems, necessary and sufficient conditions are derived to achieve the formation tracking of the second-order multi-agent system with and without the input delay, respectively.

The corresponding alignment is then constructed by, first, tracing back the maximum location in each matrix and, then, tracing back alignments for the 5′ and 3′ ends (i.e. alignment is inferred from each matrix) and combining them (Fig. 3C).

In specially, the research of clustering nonlinear correlation data object is rare, so we propose Matrix Similarity Clustering Algorithm (MSCA) based on random matrix theory and combined with sliding window technology to cluster the similarity of multidimensional time sequences.

G and are, respectively, the combined kernel matrix and the combined Laplacian matrix.

Generalizing this to more than two matrices, we duplicate the original set of matrices and combine both in arithmetic and harmonic operations, as illustrated by the matrices B i and C i in Algorithm 1.

We then constructed a time-varying estimate of the electrical activity for the peak location of the image based on a spatial filter constructed from (a covariance matrix comprising) baseline and combined conditions [Barnes and Hillebrand, 2003].

For Lagrange a presence-absence matrix was created and combined with the phylogeny in the Lagrange configurator (http://www.reelab.net/lagrange/configurator/index) to create the input file, which was analyzed using default settings.