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The phrase "I can compute" is grammatically correct and can be used in written English
Example: I can compute the answer to that math problem using the formula we learned in class.
Exact(6)
(P i can compute K i,j by K i,j = u i (v j ); P j computes K i,j by K i,j = u j (v i ).) Then they build up a secure channel using K i,j.
Also, | B i | − 2 applications of Lemma 13 give that, for each j ∈ B i ∖ { i }, Ψ i, i − ∑ j ∈ B i ∖ { i, j } Γ j, i (t − 1 ) is invertible and Node i can compute (x ˇ i, j (t + 1 ), Σ ˇ i, j (t + 1 ) ).
I can compute the mean lag between the world launch year and the Mexican launch year for cancer sites and years in which at least one drug had been launched in Mexico.
(3) and (4) and, assuming that there is a continuum of dynasties with unitary mass and that the strong law of large numbers holds in this economy, I can compute the equations that drive the evolution of the different empirical moments of the joint distribution of the amount (c_{t}) of adult consumption and the amount (b_{t+1}) of bequests left by the generation that is adult in period t.
From Algorithm 1, we can see that node n i and n j have got the u th and w th row of matrix A m = (D m.G) T. Hence, node n i can compute K u w = (u th row of matrix A m ).(w th column of matrix G. Node n j will compute K w u = (w th row of matrix A m ). u th column of matrix G in a similar way. Since A m.G is a symmetric matrix, K uw = K wu = K n i n j.
I can compute and you can write.
Similar(54)
M-dimensional Gaussian distributed vectors, i.e., h i ∈ ℂ M for user i, we can compute the distribution of the sin2 and cos2 of the angle between one vector and the subspace spanned by a subset of the other vectors.
Now, given the observed count of the alternative allele at that position r i, one can compute the probability of r i being produced by sequencing errors as: Only if P i pois stays below a certain threshold, e.g. Bonferroni corrected threshold of 5%, then the observed count of the alternative allele at position i is due to a true sequence variant.
Given N weighted particles from the belief obtained at iteration i, we can compute an estimate of the outgoing BP message.
For each experimental condition i, we can compute the Boolean prediction of the state of a protein j by using the logic formulas described by H.
In conclusion, by using the method described above for l s 1 (i ), we can compute for each position the length of the maximum common subword starting in that location, which corresponds to the matching statistics.
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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