Sentence examples for sufficiently prior from inspiring English sources

Interestingly, at low AV levels (AV = 25), Bnip3 WT exhibited no increase in mitophagic response for increasing radii, while the Bnip3 2SE mutant did, implicating the importance of LIR activity in inducing mitophagy sufficiently prior to apoptosis activation (Fig.  6d).

The physicians' feedback confirmed our hypothesis that the academic detailing exposure presented a meaningful experience for them and eased their sensitization to a problem that they had not addressed sufficiently prior to the intervention.

Activists with a sufficiently strong prior reputation, by contrast, are settled with by both managers.

Mine tailings may be sufficiently dewatered prior to deposition such that they exhibit a yield stress and therefore they will form gently sloped deposits, which result in a number of advantages from an engineering perspective.

Having this conflict between sufficiently large prior awareness and a very low retrospective awareness can be further explored with more neuroscientific evidences.

Within the Bayesian framework, a number of writers (Jeffreys 1973; Salmon 1967, 1990; Shimony 1970) have argued that a 'seriously proposed' hypothesis must have a sufficiently high prior probability to allow it to become preferred as the result of observation.

Such illusions of control can arise as a consequence of sufficiently strong prior beliefs.

Secondly, these cell lysates are incubated with the affinity matrix and are sufficiently washed prior to elution.

Assuming a sufficiently weak prior, we thus obtain an approximate equality π (γ i j = 1, γ i k = 1 | D ) ≈ ρ 1 − ρ π (γ i j = 1, γ i k = 0 | D ).

If no sufficiently strong prior information is available to resolve the ambiguity in the input, the system will nonetheless perceive one unique interpretation at any point in time, but the dominant interpretation alternates over time.

A sufficiently unbiased prior (e.g. a set of uncorrelated uniform distributions, as we have employed here) then injects minimal a priori information in the solution space and therefore provides a reasonably unbiased, statistically controlled sampling of the feasible flux states of the network.