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Redundant implementation may seem to be wasteful, but there are situations in which it arises naturally.
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Another reason why recent findings from implementation studies may seem to offer little new insight is the difficulty of sustaining evaluative research over the long term.
Sometimes policies themselves are adopted or passed into law but the time between announcement and implementation may seem an age.
These may seem to be reasonable positions.
Intuitively, these requirements may seem to contradict each other.
Although some of the models may seem to perform a small number of operations, we argue that the main nature of Simulink-like models is the implementation of data flow systems in different levels of abstraction.
Nature may seem to exhibit its own values.
Previous studies may seem to suggest this is the case.
For example, natural selection may seem to "favor" adaptive traits.
Of course, the collision resistance may be further improved by employing longer hashes; however, the current design and implementation seem to meet their goals.
Choices about design and implementation that may seem unimportant can play a substantial role in determining how policies play out in practice.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com