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We suggest to open the implementation of scoping mechanisms so that developers can extend the COP language core according to their specific needs.
In this article, we demonstrate its application to a functional programming language core, the functional subset of Core Erlang, that supports pattern matching, structured recursive data types such as lists, recursion and higher-order functions.
We propose that a language network plausibly includes a functionally specialized 'core' (brain regions that coactivate with each other during language processing) and a domain-general 'periphery' (a set of brain regions that may coactivate with the language core regions at some times but with other specialized systems at other times, depending on task demands).
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consists of a platform and language independent core, with extensions where needed.
The three Stages are "Basic", "Independent" and "Proficient" and reflect the three levels of the CEFR, whereas the open-ended inventory includes four categories, "Language", "Qualifications", "Core Competencies", and "Complementary skills".
The flexibility of defining resources at different language levels (core language, domain, genre) combined with the modular architecture lead to lower costs and a good performance: requiring a minimal effort for building the resources and achieving more than 82% of accuracy compared to the 31% yielded by the baseline.
Some of the language's core functions, such as those dealing with strings and arrays, are also implemented as extensions.
Whitney sports fifteen advanced placement classes, ranging from subjects in foreign language and core classes to VAPA electives, such as art.
Finally, all networks were investigated as predictors of language function (Core Language composite scores on CELF-IV) with multiple linear regression, to identify which network and which parameter (functional MRI signal change or functional connectivity) were most informative for predicting language outcome in children with epilepsy.
For the purpose of this study, the children completed subtests that provided a measure of their skills for Core Language, Receptive Language, and Expressive Language.
In Sect. 3 we define a mini-language called core Haskell that supports context-dependent overloading and multi-parameter type classes, and define a type system that avoids ambiguous expressions to be well-typed.
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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