Sentence examples for strong cascading from inspiring English sources

Exact(1)

Man's presence and interaction with wildlife has been seen again and again to have strong cascading effects that result in vast depletions and extinctions of animal populations.

Similar(58)

The turbidity anomaly generated in the Western Mediterranean Deep Water after cascading events (Figure 1) could avoid visual predation on larvae, or alternatively, predators of Aristeus antennatus could be also negatively affected by the dragging capacity of strong cascade currents.

Indirect contaminant effects may have profound implications in environments with strong trophic cascades such as the freshwater pelagic.

These strong ion cascade blocking characteristics may result from the atomic short-range order of these materials.

If the electric field within the storm is abnormally strong, large cascades of negatively charged electrons can be accelerated to nearly the speed of light.

This finding presents a puzzling contrast with several previous experiments in which crab predators initiated strong trophic cascades, increasing biomasses of macroalgae and sediment microalgae [34], [48], [50].

While high global efficiency is considered a positive attribute in most networks –so that global communication in the network is optimal [30], [31] –, high global efficiency might be denoting a disturbing structural property in the case of genetic networks, as it indicates that a single gene inactivation leads to a number of particularly strong deleterious cascade effects.

If the inhibition of this reaction (mainly by IL-10) is not strong enough, cascade systems will be activated; shock and multiorgan failure will be the result.

Although the error-correcting performance of outer LT code is not strong, with the cascading scheme, then the error-correcting performance can be further enhanced, as demonstrated by the subsequent simulations.

In such cascades, strong classifiers are slightly changed into sign ( H j ( x ) - α j ) = sign ( ∑ t = 1 T j h jt ( x ) - α j ) where α j are thresholds that are fixed during training (without cascade, α j =0).

Again, due to strong asymmetries for cascade-size distributions, we display the empirical (text{OAS}) estimate and the 10th 90th percentile observations of (V')s performance in (G) for each false negative rate.

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