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Embedded systems consist of interacting components that are required to deliver a specific functionality under constraints on execution rates and relative time separation of the components.
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Analysing these workflows it can be concluded that they may contain a job or a set of jobs delivering a specific functionality that can be re-used in further scientific experiments.
To date, several small synthetic gene networks that accomplish a specific functionality have been constructed.
Each pattern addresses a specific functionality of these domains, but some patterns share and integrate information.
Each solution provides a specific functionality and/or requires operations of particular nodes.
As companies adopt the microservices development paradigm, the ability to plug and play different machine learning models and services to deliver specific functionality becomes more and more interesting.
Since atomic workflows deliver a well-defined functionality we manage them at the abstract workflow level.
The hierarchical nanobelts deliver a high specific surface area of 137.5 m2 g−137.5
Plug-ins are components that extend the capabilities of the framework by delivering a particular functionality.
Atomic workflows deliver a well-defined research domain specific function.
The LiTi2(PO4)3/C nanocomposite delivers a higher specific capacity, enhanced rate capability, and better cyclability.
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CEO of Professional Science Editing for Scientists @ prosciediting.com