In addition to the complete and reduced matrices of combined molecular data, five data sets corresponding to the combined nuclear data (18S, 28S, and H3) and the four individual loci (18S, 28S, 16S rDNA, and histone H3) were analyzed in the parsimony framework to explore topological differences, and the extent of resolution and support among the partitions.
A matrix of combined sequences was constructed for the 371 individuals examined, and showed that 30 different cpDNA sequences (haplotypes) were present.
For all adhesion assays two different concentrations of each matrix (Fibronectin; 74 ng/cm2 and 222 ng/Collagenlagen I; 37.4 ng/cm2 and 112 ng/Collagenlagen IV; 111.11 ng/cm2 and 333.33 ng/cm2 and Optimat which is mixture of these matrices with combined final concentration of 222.5 ng/cm2 and 667.6 ng/cm2) were coated by incubating at 37°C for overnight.
In situations where many additional features are used, several specifically targeted feature combinations could also be identified for creating a limited number of combined distance matrices.
The analysis of combined data matrix indicates that P. rungsuriyanum is sister species of the section Paphiopedilum, and is deeply embedded in the subgenus Paphiopedilum (Fig. 5).
In the analysis of combined data matrix, the Paphiopedilum species form a strongly supported monophyletic group (100 BS, 1.00 PP), and the division of the genus Paphiopedilum into three subgenera, i.e. subgenera Parvisepalum, Brachypetalum and Paphiopedilum is well supported (100 BP, 1.00 PP for all).
Identification of the inertia matrix of the combined spacecraft and the relative attitude information of attached nanosatellites are both considered.
This is challenging, since parameters including the inertia matrix of the combined spacecraft and the relative attitude information of attached nanosatellites with respect to the given body-fixed frame of the failed satellite are all unknown after the attachment.
The wave transmission matrix of the combined system is derived and the theoretical values of its eigenvalues are used to determine the expected eigenfrequencies that, equated with the measured values, allow for the numerical estimation of the phase velocities in both materials.
Quantum process matrices are determined for the basic one- and two-qubit gate operations and concatenated to yield the process matrix of the combined quantum circuit.
Here, Σ Θi, ξi) is defined as the variance matrix of a combined error model with an additive component σinter and a proportional one σslope; hence, Σ Θi, ξi) = diag ((σinter + σslope f(Θi, ξi))).
