Exact(4)
The parameters tested were: (a) the shear ratio αs="M/Vh (αs= 1, 2 and 3), (b) the amount of the longitudinal reinforcement (ρs= 0.02, 0.04), (c) the amount of the transverse reinforcement (ρw= 0.012, 0.019), (d) the axial load ratio (ν= 0.3, 0.6), and (e) two different main reinforcement layouts (conventional and a combination of conventional and bi-diagonal reinforcement).
e: two different mutations detected in sample.
Nucleotide cleft closure is coupled, via rotation of the N-terminal subdomain, to opening of a 'docking cleft' on the opposite side of the motor domain and accompanying docking of the neck linker (A ), (B ), (D ), (E ) two different slices of density perpendicular to the microtubule axis, detailing the N-terminal and upper domains (respectively).
For a PPI graph G = (V, E), two different density definitions as shown in equation (3) are used: (3) and, where w (v ) is the weight of the protein v weighted by e –expression (v ), and expression (v ) is the log fold change of v's gene-expression profile.
Similar(56)
(e) Six different example ROIs (colors match locations in panel (d)) plotted for the full length of the trial.
Three different types of NSC/NPCs were clustered together, i.e., red (GFAP+/Prom1−/Dlx2−/Dcx−), green (Prom1+/GFAP−/Dlx2−/Dcx−), and black (Dlx2+/Dcx+/Prom1−/GFAP−). (E) Three different types of NSC/NPCs express discrete set of marker genes.
Boosting approximates the best linear combination of all possible weak classifiers (e.g different features) via maximum likelihood on a logistic scale, thereby solving statistical dependence problems [21].
(Dr E) Four different ways of understanding sick-listing were found.
(Dr E) Five different views were found regarding who is carrying which responsibility in relation to sick-listing and rehabilitation back to work.
There is an increasing tendency of connections between different affiliations (e.g., two different universities), resulting in the decrease of the affiliation homophily during the years.
The program handles time dependent random effects as well (e.g., two different (possibly correlated) genetic effects affecting the risk of the same individual during two different periods).
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