Sentence examples for exponential light from inspiring English sources

Exact(12)

Analysis suggests that heavier-tailed distributions are in better agreement with the POT and somewhat AMF data than more often used exponential (light) tailed probability distributions.

BioSTAR's primary growth engine is carbon-based, and it uses an asymptotic exponential light response curve [11].

Samples were withdrawn in the exponential (light gray bars), early stationary (gray bars) and stationary (dark gray bars) growth phases of cultivation and were analyzed by gas chromatography.

Backscattering is considered as the first noise addressed in the algorithm but contrast equalization also corrects the effect of the exponential light attenuation with distance.

(B ) Closed-loop behavior in an exponential light gradient.

(E ) Turn-triggered average of the predicted turn probability for the exponential light gradient.

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Similar(48)

In respect to the values of time constants τ describing single-exponential light-curing in DRC Dipol® due to growing NHD (τ = 15.0 s) or elastic modulus (τ = 18.7 s), the most adequate photopolymerization kinetics can be derived from time dependence of average positron lifetime τ av.

The numbers at the end of the trace represent the relative EGFP density of the cell and τ is the time constant of a mono-exponential fit (light black line) of the data.

The methodology attempts to correct for the exponential attenuation of light with depth in water and generate novel layer stacks of depth-invariant bands that accurately estimate the spectral signatures of distinct benthic substrates.

From a rare events perspective, scheduling disciplines that work well under light (exponential) tailed workload distributions do not perform well under heavy (power) tailed workload distributions, and vice versa, leading to fundamental problems in designing schedulers that are robust to distributional assumptions on the job sizes.

The transition from an exponential rise in light intensity to constant intensity leads to a transient drop in neural activity before a steady state value is reached.

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