Sentence examples for sustained information from inspiring English sources

Personal videos exemplify another technology-enabled, and sustained, information flow from the world's war zones.

"There is no sustained information campaign in Venezuela to prevent unwanted pregnancies, STDs, and HIV," Reyna told VICE News.

Another alternative explanation is that despite performing an articulatory suppression task throughout each trial, observers nonetheless sustained information about a subset of the objects using verbal working memory.

It is therefore possible that the top-down attention plays a role not only in suppressing noise regardless of the temporal property of stimuli, but also in modulating sustained information regardless of the presence of noise.

The prolongation of this representation from 270 530 ms may represent averaging (over trials or subjects) of temporally abrupt retrievals, or a sustained information retrieval.

However, the combination of the lack of temporal dynamics in fMRI and the linear models that we rely upon naturally create such an understanding of the data in terms of representations, while for some functions studied, the actual neural implementation may be closer to processes[ 39] dynamically sustained information, as in theories of conscious processing [ 40].

In this Harvard Business Review webinar, Ulrich outlines his research and learning and provides a framework for HR's role in building and sustaining information as a fundamental organizational capability.

Visitors open their beaks wide for sustaining information and the guide pops in what he calls his dubious worms of erudition.

To this respect, we observe that (P_{i mid i} ge 2P_{i mid j} ) is a necessary condition for some of the government outcomes to sustain information transmission.

We observe it when in a posterior stage we consider the existence of only one group of voters, and obtain that the number of government outcomes that sustain information transmission is greater here than in the previous case.

Since (P_{i mid i} ) is increasing in (rho ) and decreasing in (varepsilon ), and (P_{i mid j} ) is decreasing in (rho ) and increasing in (varepsilon ), we obtain that the higher the correlation between the candidates' signals ((rho )) and the lower the signal's error ((varepsilon )), the higher the number of government outcomes that sustain information transmission.