Sentence examples for differences in drivers of from inspiring English sources

Exact(3)

Although this gives important information on the status on global forest resources; inconsistencies in methods and definitions, differences in drivers of forest transitions, and varying degrees of development between and within nations, raise questions on the reliability of forest statistics while highlighting the importance of remote sensing of forest resources [4, 7 11].

In order to compare the differences in drivers of CO2 emissions between Austria and Czechoslovakia, we use the standard Kaya identity (Kaya, 1989; Waggoner and Ausubel, 2002; Canadell et al., 2007).

Although this gives important information on the status on global forest resources; inconsistencies in methods and definitions, differences in drivers of forest transitions, and varying degrees of development between and within nations, raise questions on the reliability of forest statistics while highlighting the importance of remote sensing of forest resources [ 4, 7- 11].

Similar(57)

Before and after mean speed of Sedan and SUVs vehicles were analyzed separately as well as together to investigate the difference in drivers of Sedan and SUVs vehicles.

In this context, it is also noteworthy that DEA is not a stochastic analysis, but provides only a deterministic identification of significant differences in the drivers of efficiency and productivity.

At sites where forward visibility was restricted due to the topography or road geometry, there were pronounced differences in drivers' lane position, speed, and the number of vehicles overtaken.

There was however differences in the Drivers of OI particularly with respect to Outsourcing of R&D.

While we witness some differences in the drivers of profit uplift by use case (for example, network use case uplift is relatively more driven by amount of investment in big data than for other cases) the underlying message is that investments in appropriate big data investments and organizational fit are material factors to big data contribution to profit.

Differences in hybrid and non-hybrid vehicle design, and potential differences in driver-related behavior among owners of these vehicle types, can potentially have interesting implications for safety-related policies.

This study was designed to examine differences in reaction times of drivers of various age groups and to assess the influence of mental workload on reaction times.

The different loadings across rural urban strata may indicate differences in the environmental drivers of the observed associations across the strata, which potentially explains the observed variation in patterns of association, particularly in the sociodemographic domain.

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