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However to be able to take decisions (e.g. refactoring and/or assessment decisions), maintainers face the challenges of managing (sorting, grouping) the massive amount of dependencies between classes spread over multiple packages.
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The truth is that without an enormous amount of dependency – on our parents, culture, language, nature and so on – we could never achieve the mildest degree of independence.
When multiple random variables are concerned, we use the total correlation[14], which is one of several generalizations of the MI in probability theory and in particular in information theory, to express the amount of dependency existing among the variables.
The new clique designs are advantageous because the weak dependency among distant frequencies is modeled by indirect dependency propagation, which helps in finding a better local solution compared to the original IVA, where the same amount of dependency is assigned to any pair of frequency bins.
For example, one patient may have a particularly critical dependency on AV setting and another a below-average amount of dependency.
The intraclass correlation coefficient (ICC) expresses the amount of dependency among observations and is calculated to decide whether a multilevel analysis is appropriate.
This creates an exponentially increasing amount of API dependencies between tasks that are not closely related.
Therefore, IVA imposes the same amount of statistical dependency on every pair of frequency bins, which may not match the characteristics of real-world signals.
These savings are realized not only by the amount of the dependency exemption itself, but also through other tax breaks that may be contingent upon claiming the dependent exemption.
To enhance the biomass usage, many countries have been developing various energy policies that attempt to reduce an amount of oil dependency in a transportation sector and an amount of GHG emissions.
MI is a value that ranges between 0, when amino acid sites i and j evolve independently from each other, and a positive value that is proportional to the amount of evolutionary dependency between these sites.
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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