Sentence examples for less on data from inspiring English sources

With more resources, the agency must perform more of its own safety tests and depend less on data from carmakers.

Nextel customers, which account for 40% of Sprint's subscriber base and can only access a very slow mobile Web, spend much less on data.

The company will be taking $400 to $500 million out of costs by slowing its hiring, spending less on data centers, and cutting back on marketing and travel expenses.

Instead of detailing success stories in structure-based drug discovery, the following article considers how future efforts to discover or design new drugs may increasingly rely on information about molecular targets and less on data acquired via approaches involving random methodologies.

Examples of ways to increase the use of these studies include developing a common set of criteria against which to measure results, focusing on more significant comparisons, and focusing more on data analysis and less on data presentation.

The average sized breeds would typically have an expected life of around 11 years, while the larger ones live on average 2 years less (based on data from Greer et al. 2007).

The purchase of VMware, analysts say, is part of the shift under way at EMC to become less dependent on data storage systems and to expand further into software as price pressures steadily erode the profitability of computer hardware.

Essentially Close.io allows sales people to spend more time communicating with their customers and less time on data entry.

We proposed adopting hybrid LCA models for footprint calculation because of their strength in comprehensive accounting coverage, less dependence on data acquisition, and reduced temporal and spatial uncertainties.

This inhibited us from estimating MDC values using alternative methods like standard error of measurement (SEM) calculation, which is less dependent on data distribution[ 33, 34].

Our simulation study indicates that SNP information is often helpful to estimate Bayesian networks, but might be less effective on data sets generated by real networks that are large, are noisy, or have dense sets of interactions.