Sentence examples for be relevant for modeling from inspiring English sources

Moreover, for histidine, isoleucine, and tryptophan, it has been shown directly that the simplest binding aptamers contained the cognate codon or anticodon [ 108- 112], lending credence to the idea that similar molecules might be relevant for modeling evolution in the RNA world [ 104].

In this paper, we start with a review of some basic experimental facts that could be relevant for modeling, followed by a list of theoretical concepts arising from fundamental notions of learning and memory formation (Sect.

This finding may be relevant for modeling exposure risks for foodborne prion diseases including chronic wasting disease (32 ).

The presented results may be relevant for modelling various types of nanotubes which, according to the latest experimental findings, possess strong material anisotropy.

Elucidation of the factors caused denaturation is relevant for modeling interaction of proteins with natural polyelectrolytes.

In this Review, we briefly summarize some of the unique aspects of the armadillo that are relevant for modeling leprosy, especially with respect to neurodegeneration.

However, the extent to which these details are relevant for modeling swimming behavior is unknown, because no measurements have directly correlated long-term swimming behavior with flagellar activity in the same cell.

However, these data indicate that experimental conditions that mimic "physiological" replication stress of the hematopoietic system are relevant for modeling hematopoietic diseases and aging in humans, which may not be modeled by homeostatic hematopoiesis in laboratory mice housed under stress-free conditions.

The approach is relevant for modeling the range of events typically considered in the analysis of cost-effectiveness of health technologies including overall survival, disease-free survival, progression-free survival and disease-specific outcomes such as time without epileptic seizure and time to institutionalization for dementia sufferers.

As the uncertainty analyst does not know which influences are relevant for modelling the dependent variable, the sample space Ω contains 2K models of the general form y = {alpha}_{gamma } + {beta}_{gamma }{X}_{gamma } + varepsilon (13).

Here, we present a novel and simple procedure to identify dFBA parameters that are relevant for model calibration.