Sentence examples for more useful analysis from inspiring English sources

Thus, it may be a more useful analysis tool to assess the current system conditions and involved uncertainties.

A more useful analysis, however, is achieved by focussing on proteins with common biological roles.

A more useful analysis is the time to first undetectability and its relation to the end of treatment response, relapse rate and SVR [ 12].

Since these three factors play out in markets simultaneously, we believe that examining them in relation to one another will provide policy makers and academicians with a more useful analysis than focusing on any one of them in isolation.

A test requiring more instrumentation, but measuring material properties that are more useful for analysis, is the pulling apart of two sides of a sample containing a crack that is initially cut about one-third of the way through the sample.

The analysis of multi-temporal optical and active microwave satellite data shows that visible bands of Indian Remote Sensing Satellite (IRS) LISS III sensors help in providing information about terrain features; NIR band is more useful for analysis of snow characteristics, and Radarsat image helps in extraction of snow wetness information.

Using changes in tDR expression between pre- and post-treatment samples in model fitting would explain less variation in the data (R = 40%%); however, since pre-treatment tRNA expression is a more clinically useful analysis, the better prediction value is fortuitous.

There's more useful context and analysis from Keith Kloor, who notes the role played by the Drudge Report in amping up the story (blogging at the Yale Forum on Climate Change and the Media), Mike Lemonick, Judith Curry and many others.

Matrix methods are more useful for numerical analysis calculations with computers and for systems that can be described in terms of a finite number of states, such as the spin states of the electron.

The purpose of this technology has always been for developers to implement new functionalities and advance existing ones to create increasingly more useful tools for analysis and visualization of Earth and space data [6, 12, 13].

Even if the literature signals the possibility of this non-linearity (see Argue et al. 1999), this econometric exercise would seem more useful for an analysis of church attendance or self-perceived degrees of religiosity.