Since mutual information (M I) is defined as a quantity representing dependent relationship between two random variables, M I between positions in a protein, which is obtained from the distribution of amino acids in multiple sequence alignments for its homologous proteins, is useful for predicting interacting residues.
We find that there is a clear order of magnitude difference between the time derivatives of the variables v, m, h, n, and w, s.
Table 2 Descriptive statistics, coefficient alphas, and zero-order correlations between variables M SD 1 2 3 4 5 6 7 8 9 10 1. Achievement goals 5.08 1.42 (.90) 2.
The modal variables, m, are dynamically independent.
Interaction between the month and policy variables (M m * P m ) is added to allow for a different trend effect following the implementation of FHCI.
The rain height, derived from the bright band signature of melting layer of radar reflectivity profile, is found to be variable between the heights 4600 m and 5200 m.
The Hadamard product operator ⊙ of the direction vector b and the slack variable vector m determines the distance between classes (m ∈ ℜ p ).
We focus on the process of spike adding and take advantage of the difference in time scales in Section 3, where it suffices to consider the time-scale separation between the three fast variables V m SI and m FO, and the two slow variables m SO and h SI.
The latter variables are often acting as intervening variables between the background variables and contraceptive use.
In reciprocal mediation models, one is assuming a different order of causal relations, that is, there is a reciprocal causation between the mediator M and the dependent variable Y, so that both X → M → Y and X → Y → M can be true.
