Sentence examples for prediction of the threshold from inspiring English sources

Such investigations lead to: (a) clear physical explanation about the reasons for the rotor's unstable behaviour, losing its contact to the clutch and (b) an accurate prediction of the threshold of stability based on the nonlinear rotor-bearing model, i.e. maximum angular velocity before the rotor misses its contact to the clutch as a function of rotor, bearing and clutch design parameters.

The RPORITA bases the prediction of the threshold on the previous threshold values within the specific outbreak, allowing for a more widespread application.

Further work deals with the prediction of this threshold using the Smith Watson Topper criterion.

Predictions of the threshold stress intensity factor and H-diffusion limited Stage II crack growth rate agree with experimental data for a high strength austenitic Ni-Cu superalloy (Monel®K-500) and two modern ultra-high strength martensitic steels (AerMet™100 and Ferrium™M54) stressed in 0.6 M NaCl solution over a range of applied potential.

We conclude that an increase of the error threshold by mutational neutrality is limited, and that the additive assumption achieves a good prediction of the error threshold in spite of a high degree of epistasis in RNA folding because the average number of base substitutions of sequences retaining the phenotype per replication is sufficiently small to avoid of the effect of epistasis.

The comparison with the previous formulation illustrates that it is important for the prediction of the error threshold to consider that the number of base substitutions per replication is rather large near the error threshold.

The proposed method yields a reliable prediction of the stability threshold speed which is validated through measurements.

6, a similar analysis is carried out for the case of static inhibition; again a singular limit prediction of the spiking threshold manifold is identified.

Inclusion of finite thickness effects and a proper description of the contact stiffness are found to be vital for accurate prediction of the delamination threshold velocity.

The fundamental prediction of the optimal threshold individual-level approach to nestmate recognition is a correlation between true and false rejections, because increasing the probability of correct rejection of non-nestmates increases the chance of false rejection of nestmates.

Interestingly, for the case of a complete lattice with all fluctuating edges (qfix = 0, qfluct = 1, 0 ≤  p ≤ 1) the prediction of the rigidity threshold is in perfect agreement with the MCC prediction where the critical transition probability is given by the value of p in Equation  1 when one sets F MCC  = 0.