Sentence examples for features at the level from inspiring English sources

The appeal of this strategy is that it does not treat the constant property and varying ones on a par: the constant feature is represented at the level of reference; the varying features at the level of sense.

Several studies have ascertained the honesty of song features at the level of the individual, the target of selective forces and of behavioural research [4], [5].

Yet the SELDI diagnostic pattern itself proved essential in isolating a subgroup of preterm birth cases with unique features at the level of their amniotic fluid proteome.

Overall, the patients' somatic alleles are highly diverse at the DNA level but have common features at the level of encoded protein.

That only a single Plasmodium species can be identified as an outlier from the amino acid propensities shows that they form a tightly clustered group, which have few distinguishing features at the level of amino acid composition.

The social model is represented via an undirected connection graph and can capture heterogeneity features at the level of both the individual and each of his interactions.

Then, using the KF, teachers designed instructional units that analyzed academic tasks for their functions and the associated linguistic features at the levels of lexicon (vocabulary), syntax (sentence), and discourse, so as to provide linguistically responsive instruction.

Teachers in this study were trained using the KF that demands analysis of academic tasks for their functions what is being discussed (field), who/how it is being discussed (tenor), and the medium through which it is discussed (mode)—and the associated linguistic features at the levels of lexicon, syntax, and discourse.

The study of network and interactions of biological elements rather than biological elements themselves, can capture the previously-unobserved features at the levels of both network (or edges) and dynamics.

Based on this premise, new lines of research on drug markets in Brazil should examine the relationship between risk-features at the level of place that influence street drug market density.

We analyzed fundamental network topological features at the node level: node degree and traffic.