Sentence examples for fail to derive from inspiring English sources
The method is also applicable to the existing stability conditions reported by now, while the existing technologies may fail to derive computational control procedures from the stability conditions.
Despite exciting clinical efficacy, one third of the patients with BRCA1/2 mutant relapsed HGSOC fail to derive benefit from PARPi, with a higher failure rate observed with increasing platinum resistance.
The reason is that we fail to derive brother from Ξ1 ∪ {Bψ ∣ ψ ∈ Γ1} ∪ {¬Bψ ∣ ψ ∉ Γ1}.
But just as shareholders of publicly held companies sometimes fail to derive full benefit from their investment it's also the case with GPO shareholders.
Left to their own devices, agents who are at least sometimes narrowly self-interested will repeatedly fail to derive the benefits of cooperation, and will instead live in a state of 'war of all against all', in Hobbes's words.
"After this," Leibniz concludes, "it must be imprudent not to be just, because no one will fail to derive good or evil from what he will have done, according as it is just or unjust" (PW, "Meditation on the Common Concept of Justice," pp. 58 9).
On the other hand, we conclude that Hirota direct method fails to derive multi-soliton solutions of the q-differential-q difference Toda equation.
However, former clinical trials using RAAS blockade, statins, calcium channel blockers, beta-blockers, and diuretics failed to derive a common consensus as to their effects on CIN [ 41- 43].
Even if the problem could sound more homogeneous than the alignment case, we failed to derive an analytical approximation of this distribution.
In patients who failed to derive CB from second-line fulvestrant, further endocrine therapy produced CB in 18 out of 51 (35%) patients and OR in one out of 51 (2%) patients (Table 2).
It was shown that, in KyberSept, those patients who failed to derive any benefit from antithrombin either were too ill to survive sepsis despite optimal therapy (predicted mortality >60%) or were too well to die in adequate numbers for the study conditions (predicted mortality <30%).
