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Note that, we deduce from (2.2) that (2.3).
To incorporate the fiber crimp we use an effective elastic material law N for (mathbf{n}_{mu}) that is nonlinear in the strains (varepsilon_{mu}) and that we deduce from simulations of a respective beam model.
end{aligned} (2.5) Thanks to the choice of φ, one has (frac{1}{varepsilon}int_{Omega}| u_{v}^{varepsilon}-psi)^|^{p-1} varphi -u_{v}^{p-1} varphi),dxleq0), so that we deduce from (2.5) that begin{aligned} F_{a}bigl(u_{v}^{varepsilon}, varphi-u_{v}^{varepsilon}bigr)geqint_{Omega}f bigl(varphi -u_{v}^{varepsilon}bigr),dxleq0ad forallvarphiin W_{0}, varphileqpso.
Similar(57)
(4) We wished to determine if the putative three different mechanisms of UV-radiation mutagenesis that we deduced from our kinetic analyses had biological relevance.
After that, we deduce optimal parameters from experimental results to maximize the output power.
By a similar way to that above, we deduce from A 1 ( z ) = 0 and E 1 = 0 that a and b are distinct zeros of the equation z 2 − 2 z + λ = 0. Thus a + b = 2, a b = λ.
Under this particular choice, ξ g,1 and φ g,1 are mutually independent, and we have that and Therefore, we deduce that Using similar arguments, we can show that where We deduce from the above derivations the following alternative expressions for the expectation of the processes Z g, s (t) and Z t), and a property in the presence of dependencies.
IgR 491 specified a transcript that had previously been observed [ 20]; we deduce from the sequence that it originates from an RpoS-dependent promoter.
Since we assume that c p,q is zero-mean with variance (sigma _{c}^{2}), we deduce from (8) that (tilde {c}_{p,q}) is zero-mean too with variance (sigma _{tilde {c}_{p,q}}^{2} = sigma _{c}^{2} left |{left langle check {g}_{p,q},g_{p,q} right rangle }right |^{2}).
From (3.10) we get ( y n − q ) − ( x n − q ) → 0. Noticing that J is norm-to-weak∗ uniformly continuous on bounded subsets of X, we deduce from (3.17) that lim sup n → ∞ 〈 f ( q ) − q, J ( y n − q ) 〉 = lim sup n → ∞ 〈 f ( q ) − q, J ( x n − q ) 〉 ≤ 0. (3.23).
We deduce from (3.18) that.
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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