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"If the research leads to a decision that a new technology should be implemented, but the budget is not available for implementation, this is a barrier" (Canada Researcher 1).
In the current Quince implementation this is achieved through a simple heuristic approach.
Each Quince runtime maintains a map (in our implementation this is a Guava multi map) which maps actors to endpoints which host actor instances.
In the current implementation, this is achieved using a lookup table, but faster implementations are certainly possible (e.g., modeling the bone and soft tissue clusters as ellipsoids).
In the current implementation, this is realized by interfacing the catR-library (Magis & Raîche, 2012), that is also used in the Concerto platform.
In our implementation this is achieved through Scala/JVM dynamic class loading which fetches the respective jar file containing the packaged actor front the actor store to an appropriate VM, instantiates the actor and then handles the incoming request.
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In the lazy implementation, this was delayed until a ray intersected the node containing the primitive.
However, as a strategy for national implementation, this was an innovative, unproven approach [ 5].
Given the complete independence of these implementations, this is extremely strong evidence that both samplers are implemented correctly.
Combining basic theoretical concepts and practical implementation, this brief is ideal for professionals and researchers in the field.
And the possible implementations of this are pretty far reaching.
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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