Exact(1)
If you're probed, simply say, "Oh there's nothing I can formulate out loud just now; it's all still in my thoughts".
Similar(7)
Denoting ( M x ) ( t ) = x ″ ( t ) + ∑ i = 1 m p i ( t ) x ( t − τ i ( t ) ), we can formulate the maximum inequalities principle [23] in the form: it follows from the inequalities ( M y ) ( t ) ≥ ( M x ) ( t ), y ( 0 ) ≥ x ( 0 ), y ′ ( 0 ) ≥ x ′ ( 0 ) that y ( t ) ≥ x ( t ) for all t ∈ [ 0, ∞ ).
To quantize the similarity between pairs p i and p j, we encoded the pair (p i, p j) into a vector N (i, j) on which we can formulate the mapping engine to map the query protein to its most probable GO term.
For example, he writes, "I believe that one can formulate the emergence of the classical 'path' of a particle pregnantly as follows: the 'path' comes into being only because we observe it" (Heisenberg, 1927, p. 185).
Similar to the basic problem formulation, we can formulate the multiple ontology integration as follows.
By rearranging of the latter equation, σ i can be formulated as: {sigma}_{mathrm{i}}={sigma}_{mathrm{m}} exp left(frac{B}{1+{A}_c{rho}_{mathrm{f}}t}right) (8).
In Ellipsoid model, channel uncertainty set for g m and h i can be formulated as G m = g m + Δ g m : ∑ i ∈ F | Δ g i, m | 2 ≤ ε m 2, (5) H i = h i + Δ h i : ∑ F : j ≠ i | Δ h j, i | 2 ≤ ζ i 2, (6).
From (19), if the power system bus number is R, the state variables of bus voltage and branch flow (i.e. v i and z i ) can be formulated as: left{ begin{aligned} v_{i} = v_{i0} + sumlimits_{r = 1}^{R} {s_{ir0} Delta w_{r} } hfill z_{i} = z_{i0} + sumlimits_{r = 1}^{R} {t_{ir0} Delta w_{r} } hfill end{aligned} right.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com