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But in an era when powerful commercial and legal forces ally in favor of holding on to data, and where the surrender of one's digital soul happens almost imperceptibly, change is not likely to come swiftly.
He also should have some interesting views on enterprise data and where the market is headed.
And it also only applies specifically to the NSA's Prism surveillance program, where it collects data direct from U.S. Internet companies, and to Upstream, where it taps directly into Internet cables to gather data — and where the data from those programs was passed on to the British.
Figure 5 presents meta-analyses for stillbirths and neonatal deaths for the five countries with available data and where the datasets included sufficient numbers of births to Somali women to make mortality comparisons meaningful (range: 833 3480 births).
Volunteer computing is presented as a cheap and valid HPC system for those bioinformatics applications that need to process huge amounts of data and where the response time is not a critical factor.
Note that this is different from benchmarks 1 and 3 5, which use simulated data and where the aim is to recover a fit as good as the one obtained with the nominal parameter vector, with which the data were generated.
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We can therefore perform zooms in the measured data - and where the data are densely sampled, we can obtain high-resolution details.
This contrasts with other areas of the world where there is still considerable need for intensive primary data collection and where the narrative of agricultural subsistence practices varies considerably.
It can apply in any setting where an imputation procedure involves a categorical data regression and where the uncertainty about the imputation model parameters is allowed for by sampling from a Normal approximation to a posterior distribution.
Deviation from this expected outcome suggests possible biases in the data and where (in the reads) it may be present.
Data consumers represent the client side of the system, where data consumers request data by queries and where the results are returned to consumers.
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collected and where the
database and where the
reporting and where the
evidence and where the
existed and where the
data collection and where the
dataset and where the
data and highlights the
data and explains the
data and underscores the
data and suggests the
data and requiring the
data and presents the
data and characterized the
data and following the
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com