For a pair of outputs A (with j entries) and B (with k entries) from two different systems, we computed micro-average F-scores from each output and noted the difference in performance (f = A − B).
To solve this system, we compute its Gröbner basis with respect to a lexicographic ordering using an algorithm such as F 4 or F 5 algorithm [4,5].
To determine the vulnerability of the system, we compute the vulnerability score, S v, which is a measure of the number of attacks a scheme can prevent.
To assess the validity of this behavior coding system, we computed a composite score similar to PRCA procedures (active-constructive minus average of other categories) creating an overall measure of observer-rated capitalization with higher scores reflecting greater capitalization support.
We use a monocular vision system and we compute motion through an homography obtained from automatically matched lines.
From the unacetylated system simulation, we computed the average position of the terminal phosphorus atom of ADP.
With each enzyme representing a reaction and using fluxes as system states, we computed flux change amplitudes and impact radiuses on the enzyme-centric network in the same way stated previously.
In addition, we visualize the information captured in the extracted expression patterns from SPEX and the two systems we compare with, by computing the SVD of the expression patterns (Pan et al., 2006).
In order to obtain a fully quantum mechanical solution for electron transport through a doubly occupied system, we first compute the energy levels of the two interacting electrons which are governed by the following Hamiltonian, (3).
