Sentence examples for important effect that from inspiring English sources

Using the predictions of the saltation abrasion model as a reference, we find that the threshold of motion is the most important effect that should be represented explicitly, followed in order of decreasing importance by the cover effect, the tools effect and the threshold of suspension effect.

(Note that in the penultimate stanza, "as it ends" is indented in the original, an important effect that may not be reproduced in all browsers, but which readers can imagine).

The Péclet numbers for the column breakthrough tests indicated that mechanical dispersion is an important effect that requires further consideration in the scaling-up process.

One important effect that is overlooked by most of the currently available whole building simulation tools is the long-wave radiant (re-radiation) effect these shading devices have on the glass temperatures.

An important effect that has been neglected in most studies of primordial star formation is the relative velocity between the DM and gas sourced by baryon acoustic oscillations before recombination (Tseliakhovich and Hirata 2010).

For a drug, elevation of [Ca2+]i to a moderate level is an important effect that might activate neuroprotective pathway.

These are important effects that are hard to find in the aggregate data".

Ecologists are increasingly recognizing the important effects that cross-ecosystem transport of energy and nutrients have on plant and animal populations and communities2, 3. A well known example of this is how seabirds concentrate marine-derived nutrients on breeding islands in the form of feces (guano) which contains ~15 20% nitrogen (N), as well as 10% phosphorus4,5,6.

Another reason why markets may fail is the existence of externalities – by which we mean important effects that are external to the market.

In the next section, we will discuss the most important effects that need to be taken into account when analyzing these images.

In this paper we suggest new indicators, coming from network analysis, that can help underlining in a quantitative way important effects that are not usually considered, being them outside the domain of investigation of standard statistical tools.