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Yet, even with such tightly defined information, extremely serious implications for privacy remain.
Passed in 1873 in response to pressure from a crusader named Anthony Comstock, the law defined information about contraception or abortion as obscenity.
The economist Paul Romer, whose work in the 1990s shaped our understanding of infocapitalism, defined information as "instructions for making things".
The provision of information and knowledge for reuse relies on defined information structures and requires computational techniques that enable the reuse process within an integrated environment.
Software defined information centric networking (SD-ICN) may face more serious scalability problem in control plane compared with traditional SDN environment due to new features about in-network caching and content-based communication.
For multiple model classes, the problem is formulated as a multi-objective optimization problem of finding the Pareto optimal sensor configurations that simultaneously minimize appropriately defined information entropy indices.
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The government defines information as top secret if its disclosure could cause "exceptionally grave damage to the national security".
Regulators define information as "financially material" if its omission would mislead an investment decision.
Whilst we can easily define information, knowledge is a little bit more elusive.
The purpose of this paper is to define information privacy objectives based on values of individuals.
And the ones with the clearest answers are often defining information in the technical sense, which is not the sense in which the culture took it up.
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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