Sentence examples for plausible system from inspiring English sources

No plausible system is undefeatable.

The role of glutathione-mediated free-radical scavenging was also investigated at transcriptional level, as a plausible system for coping with oxidative stress.

Spatially explicit models provide a plausible system in which the precise spatial location of individuals and movement patterns can be employed to evaluate intervention options [3].

Therefore, both the number of diploid males produced and their ∼50% frequency in matched-mated nests are consistent with sl-CSD as the only plausible system of sex-determination in L. leucozonium.

While our proposal is speculative, we provide some empirical evidence to support such a mechanism and a plausible system with which to test it.

However, the implication of the endocannabinoid system in body weight regulation together with its interaction with the leptinergic system makes it a plausible system implicated in the pathogenesis of AN [ 2, 7].

This identified the consistent effects that combined into the most efficient (i.e., plausible) systems (see Materials and Methods section).

Then we show that instantiation into minimalist systems can help to identify novel properties (eg. stochasticity induced at high TF concentration) and verify their applicability to larger and more biologically plausible systems.

One possible use of this model is to identify a behavior of interest, isolate its minimal requirements and then test its applicability with realistic parameters and on larger and more biologically plausible systems.

We point out that although the result that noise can induce coherent resonance is not novel from a view of physics [ 35, 36], the effect of external noises in biologically plausible systems, in particular in multicellular bistable systems with signaling pathways, is rarely investigated [ 29], and most of previous biological results about this aspect are in experiments works [ 19].

Biologically plausible systems for object recognition need to have not only the properties described here, but also mechanisms that use a local learning rule, no separate teacher for each output neuron in a supervised learning scheme, and no lateral copying of weights (Rolls 2016).