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Since ForSyDe is based on the functional paradigm we can model adaptivity by using functions as signal values, which we use as the base for our concept of adaptive processes.
This gives the functional paradigm an inherent edge over the object-oriented approach when doing concurrent processing such as web requests.
In a phantom, signal integrals varied from <0.5% for NAA to 1 2% for Lac during the time course of the functional paradigm.
In the following we will just sketch some of the relevant entities that characterize the functional paradigm and the derived methodologies.
Even though the functional paradigm describes numerous important computations (possibly including mental computations), it does not plausibly capture computation in general.
However, many computational formalisms do not conform to the functional paradigm: Turing machines; imperative programming languages, such as C; logic programming languages, such as Prolog; and so on.
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The field of synthetic biology has produced genetic circuits capable of emulating functional paradigms seen in digital electronic circuits.
We also discuss where modularization, bisimulation, transition systems and combinations of the object, logic, constraint and functional paradigms fit into our hidden agenda.
Plus, it adopts the beloved functional paradigms we see with Scala, Ruby, and Javascript.
Specialized algorithms to analyze specific data types can outperform a logic program as many algorithms are more efficient when implemented in imperative or functional paradigms.
This finding suggests that other yeast species may have also evolved distinct functional paradigms for selection of DNA sequences as sites of replication initiation.
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