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An ET of at least four cell doublings in the presence of drug proved optimal for accurate prediction of FL-interacters Concentration changes did not exert as strong of an effect as ET, and any concentration between GI10 and GI40 proved optimal to induce target-gene perturbations.
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Further cooling of the reaction to −10 °C proved optimal, producing a much-improved yield of 32%% (entry 5).
The results indicate that the optimization approach produces proven optimal solutions to small-sized instances but fails to solve instances of practical meaning.
However, the proof of optimality of the Dörfler marking (Proposition 4.12 ) which is the second key ingredient to prove optimal convergence behaviour, requires to consider arbitrary refinements of the current mesh.
We prove optimal bounds, up to constants only depending on p and q, for the entropy numbers of natural embeddings between SNp and SNq.
For instance, using discontinuous Galerkin techniques, [3] develops a locking-free nonconforming element, and in order to prove optimal error estimates, it uses penalty for θ.
The discrete reliability of a finite element method is a key ingredient to prove optimal convergence of an adaptive mesh-refinement strategy and requires the interchange of a coarse triangulation and some arbitrary refinement of it.
We postulate that intermediate levels of detection are likely to prove optimal for many of these.
Therefore, a natural goal is to prove optimal convergence of our adaptive algorithm for the estimator μ h.
We were unable to determine proven optimal solutions using Gurobi for this problem class of much larger project networks with 120 activities each.
In many cases a mix of tools will prove optimal.
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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