In parsimony analyses of variable-sized jackknife samples of our full alignment, nodal support showed a strong positive correlation with the length of the nucleotide matrix (proportion nodes ≥ 95% = -1.0808 + 0.38497*log10 [matrix size, bp]; r2 = 0.915, P < 0.0001).
Default parameters for estimation under a GTR+I+G model were used, with uniform priors set on the base frequencies and rate matrix, proportion of invariant sites, and topology.
To set prior probabilities for the analysis (stationary frequencies of character states, character substitution rate matrix, proportion of invariable sites and shape parameter of the gamma distribution of the variation), hierarchical likelihood ratio tests (hLRTs) were performed in MODELTEST v3.7 [ 74] and the best-fitting model given the dataset was chosen.
Different matrixes, analyte/matrix proportions and the use of NaTFA as cationization agent were considered.
Different experimental settings (levels) for matrixes, analyte/matrix proportions and concentrations of cationization agent were considered.
The enhanced ORR performance of Co-N-G-800 can be attributed to the synergetic effect of the high conductivity of graphene matrix, high proportion of pyrrolic-nitrogen, and Co-Nx active sites.
In each row of this matrix, the proportion of ones and zeros is equal to λ/(1 − λ), but the positions of the ones and zeros are uniform randomly distributed from row to row.
The application of DoE for the improvement of the MALDI measure of PET stated that the best combination of factors and levels was the following: matrix (dithranol), proportion analyte/matrix/cationization agent (1/15/1, V/V/V), and concentration of cationization agent (2 g L−1).
Assuming A is a 3 × 3 matrix, the proportion of children transferred out of the non-immigrant population is a hm + a hu = 1 – a hh, the same for both sexes, the transfer coefficients being the elements of A representing particular cross-parenting proportions.
The combined data were analyzed using three partitions (nuclear, plastid, gap data), allowing partition models to vary by unlinking gamma shapes, transition matrices, and proportions of invariable sites.
