Sentence examples for models with growing from inspiring English sources

It proposes three models with growing complexity and with a growing number of components: two-equation models with only two components, governing water and bedrock evolution; three-equation models with three components where water, bedrock, and sediment interact; and finally models with four equations and four interacting components, namely water, bedrock, suspended sediment, and regolith.

Minimizing the joint free energy between two RNA molecules under a number of energy models with growing complexity was introduced in [ 2].

An interesting study of the joint secondary structure prediction problem can be found in [ 38], where the general RNA RNA interaction problem is shown to be an NP-hard problem under three different models with growing complexity.

In addition to the above approaches, a number of studies aimed to compute the minimum total energy joint structure between two interacting strands under energy models with growing complexity.

Today's high-quality and high-throughput experimentation techniques in molecular biology are the basis for an increasing number of bio-models with growing size and complexity.

These findings are consistent with immunopathological damage to kidneys in the mouse C. albicans infection model and with growing evidence implicating some TLR pathways as the main point of interaction between fungal surface polysaccharides and leukocytes.

Indeed, we found that the models with a growing population presented the highest overall probability.

Indeed, this model is an appealing candidate for the purpose as the probability of a network is easy to compute compared with growing models of similar complexity.

We analysed the effects of treatment on root mass and total biomass using linear mixed models with treatment (grown alone, with a plant from the same population or with a plant from another population) as a fixed effect and the identity of each interacting plant (i.e. its population) as random effects.

0-gram 1-gram 2-gram 3-gram Correlation −0.88 −0.90 −0.90 −0.85 WR in % 44.4 50.0 67.3 74.8 Figure 1 Effect of the language model context on the recognition rate: with growing context the recognition rate increases (OC data).

A reaction-diffusion model with a growing boundary (i.e., representing the expanding xylem area) would be consistent with these results.