Sentence examples for the prevalence of data from inspiring English sources

Given the prevalence of data in today's digital age, and the trend towards 'smart living' based on data, the ruling has the potential to be hugely impactful in India both now and in the future.

As previously discussed, the prevalence of data generation is phenomenal and can be collected from a range of sources, thus producing exabytes of information regularly.

To avoid the biasing effect of multiple outcomes within the same study, all meta-analyses on the main outcome of interest (i.e. the prevalence of data fabrication, falsification and alteration) were conducted using only one outcome per study.

Tables 1– 3 7– 45 show the main clinical features of the joint diseases associated with diabetes, and the prevalence of data in these subjects compared with the general population.

To estimate the prevalence of data deposition statements in the biomedical literature, we processed all the PubMed Central articles available to us in full-text XML as of 2 June 2011 (N=827 762) and used the NB model (with component tags as features) to classify them according to data deposition status.

While the availability of full-text is definitely a limitation, our overall study of the prevalence of data deposition statements (Section 3.3) indicates that data deposition statements are significantly more often found in the full-text of articles, compared with abstract text.

With the prevalence of data-centric computing, the key to achieving energy efficiency is to reduce the latency and energy cost of data movement.

"The prevalence of these data breaches, botnets, and other attacks highlight the importance of data security best practices and the need to reject government proposals to weaken security, such as mandating encryption backdoors," he said.

Because of the prevalence of missing data for transfusion, we performed multiple imputation by chained equations to account for missing data [ 23- 25].

We will assess the prevalence of missing data and examine robustness of intervention effects under various assumptions regarding plausible patterns of missing data in sensitivity analyses.

The prevalence of big data, smartphones and cloud computing creates an unprecedented opportunity for companies to match supply and demand in entirely new ways.