Sentence examples for method to glean from inspiring English sources

Many research efforts have utilized the lattice Boltzmann method to glean important conclusions about the nature of this subject, but only few have done so while eliminating the phenomenon of spurious currents and employing drop densities greater than approximately ten times that of the gas density.

While this is an accepted method to glean which proteins are more dominant relative to other proteins identified in a given sample, their absolute abundance has not been validated.

Their method to gleaning info is simple: They gleaned 33,688 unique numbers from the call records of 546 study participants, and cross-referenced them with Yelp and Google Places.

It would provide evidence of the crude monitoring methods used to glean information about campaigners and would prove that journalists are being targeted by police surveillance units.

According to the report, officials at the White House first developed a method of searching the Internet to glean the political leanings of a candidate and introduced it at a White House seminar called The Thorough Process of Investigation.

For over a century, numerous culture devices and methods have provided ideal microenvironments to glean insights into neuronal development.

Only this method of assessment will allow researchers to glean an accurate assessment of the independent effect of sex-related variables and the interactive effects of these variables with stroke treatment.

This term refers to the instances where the scammer sends out a mass email to every address he or she has managed to glean by whatever method.

In this sense, the CE interview method is arguably unique in its capacity to glean the situated nature of symptoms in the context of subjects' lives.

In both clinical and research settings, the two methods are often used in conjunction in order to glean a more accurate picture of an individual's current cognitive status relative to baseline or other prior time points.

Quite a lot feature selection methods have been employed in serum proteomic data classification to glean informative features, reduce dimension, or conduct de-noising in order to achieve high accuracy disease diagnosis [ 7- 10].