Sentence examples for attributes depending on from inspiring English sources

We found that the average density of male Kirtland's Warblers was related to a different combination of patch and landscape attributes depending on the species' regional population level and habitat amounts on the landscape (early succession jack pine (Pinus banksiana) forests; 15 42% habitat cover).

Wiens (1989) highlights how competition affects individual, population, or community attributes depending on its intensity relative to other factors shaping these attributes.

Although it is a global phenomenon, poisoning among children has unique epidemiological attributes depending on socio-economic demographics.

A set of predictor attributes based on a large number of GO terms (from about 100 to about 300 attributes depending on the dataset) had some predictive power.

An experiment testing the fluency hypothesis confirms that the processing of experiential attributes, but not functional attributes, depends on attention focus.

However, many quality attributes depend on runtime contexts; it may be difficult and even impossible to make tradeoffs between them at design time.

While insider trades possess attributes that differentiate them from surrounding trades, a great deal of those attributes depends on the trade characteristics – aggressive market orders will draw scrutiny due to their price impact, whereas limit orders are less noticeable.

And, attributes depend on substances for their being in a way that substances do not depend on attributes.

An additional and, as far as we know, unexplored association between colour polymorphism and individual attributes can arise when the characteristics of these attributes depend on the biochemical basis of colour production, and not on pleiotropic effects of the genes related to colouration [e.g. 10], [14].

For example, these creation attributes depend on packing density and order of the inter-fibril structure, both of which change in cancer.

The method works in two processing levels: first, an evolutionary algorithm (EA) for label-dependent feature weighting transforms the feature space by assigning different weights to every attribute depending on the class.