Sentence examples for third power of time from inspiring English sources

Exact(1)

These observations can be explained by a dose response model in which the increase in subsequent mesothelioma risk caused by each episode of asbestos exposure is proportional to the cumulative dose inhaled and to the second or third power of time since the exposure (Peto, 1979).

Similar(59)

The incidence of mesothelioma rises as function of the third or fourth power of time since first asbestos exposure (latency) (Peto et al, 1982).

The risk of developing mesothelioma has been estimated as proportional to a third or fourth power of time since first occupational exposure to asbestos (Peto et al, 1982).

However, in this and similar models, incidence is proportional to the fourth to sixth power of time, suggesting four to six independent steps are necessary for development of cancer.

This mechanism is confirmed by the observation of a linear relationship between the third power of droplet size and annealing time.

The lap-shear strength of the amorphous/amorphous interface was found to develop without discontinuity in the vicinity of the Tg and, in addition, it develops at amorphous/amorphous and amorphous/crystalline interfaces to the one-fourth power of healing time indicating that it is, in both cases, a diffusion controlled process.

However, the network smoothing data pre-processing step implemented in DeDaL requires eigenvector decomposition of the Laplacian matrix of the network graph which scales in time as the third power of the number of nodes.

He found that under an enormous range of conditions, the number of deaths in a country per year is given by a simple formula: number of deaths equals.0003 times the two-thirds power of the number of people times the one-third power of the number of cars.

These techniques scale at least quadratically in space and time for sequence length and quadratically in space and to the third power in time for the number of sequences.

When more than ~150 markers are present, JoinMap is limited by computational constraints, as its computation time is the fourth power of the number of markers.

In this case and so long as the occurrence of each mutation is a relatively rare event the incidence rate of cancer at age t will be proportional to the probabilities of occurrence of each mutation per unit time and the sixth power of the age, k being a constant term (see Mathematical Appendix).

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