Therefore, we adopt a fine grain to identify the correspondence between mutations and warnings more precisely, considering the so called Direct Correlation per Line (DCL) defined below.
Stated more precisely, considering the intersection as a reference point, does the distance to the reference point (i.e. midblock locations on the roads) correlate with different types of crashes compared to that of the intersection?
More precisely, considering αRW v, D) as the likelihood of v being associated with the seed set for disease D, we compare this likelihood with the likelihood of v being associated with any other gene product in the network.
More precisely, consider the following decision problem, which we call PREFACTOR.
We more precisely consider a non-conservative formulation of the usual gas dynamics equations and show how to slightly modify the so-called Roe-type path-conservative schemes to properly capture the underlying shock discontinuities.
More precisely, consider a first asset process (S_{t}^1=exp left (sigma B_t-frac {1}{2}sigma ^{2} tright)), where σ>0, and let (tau _1=inf left {t>0,S_{t}^{1}leq lright }), where l is a given constant threshold such that (l<S_{0}^{1}).
More precisely consider F ( x, y ) = y 2. For any f = k 1 1 A where μ ( A ) = μ ( B 1 ), f is a maximizer of (I1) independently of the choice of u since I ( u, f ) = k 1 2 μ ( A ) = k 1 2 μ ( B 1 ) = I ( u, k 1 1 B 1 ).
More precisely, consider a single seed s of length ℓ and weight w.
More precisely, consider the set of trees for some d* such that.
More precisely, consider the window W= [ m j,r− ξ(m j,r)/ ϕ, m j,r+ ξ(m j,r)/ ϕ], the model vector G= g(x; μ j,r, λ j,r, o j,r) for x∈ W and the quadratic approximation vector B= b j (x; θ) for x∈ W, and test whether the Pearson correlation satisfies ρ(G, B)≥ ρmin.
More precisely, consider the window W = [ m j,r− ξ (m j,r)/ ϕ, m j,r+ ξ (m j,r)/ ϕ ], the model vector G = g (x ; μ j,r, λ j,r, o j,r) for x ∈ W and the quadratic approximation vector B = b j (x ; θ ) for x ∈ W, and test whether the Pearson correlation satisfies ρ (G, B )≥ ρ min. The width at half height in the retention time dimension has approximately the expected size (cf. Eqs.
