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The biological function of cortical neurons can often be understood only in the context of large, highly interconnected networks.
As the moral complexity of many clinical problems can often be understood as conflicts in loyalties (e.g. between head physician and patient), it is possible that these experiences weaken the initial moral appeal of loyalty.
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However as powerful as these imaging tools are, they can often be difficult to understand and fully utilize.
Evolutionary theory says that only beneficial traits survive in the long run, but it can often be hard to understand how a certain trait might help.
Owing to their immature and developing skills and functions (e.g., abstract reasoning skills and cognitive functions), it can often be difficult to understand and assess children [ 8].
This is intended for visually impaired people, but it can often be easier to understand than the visual CAPTCHA.
Adding to this complexity, gene function can often only be understood in the context of other genes (as emergent properties) [ 1, 2], and accumulating evidence suggests that divergence in gene regulation rather than the protein coding sequence is the main driving force behind species differentiation [ 1, 3, 4].
However, the power of these tools can also be a detriment, generating large amounts of data that can often be difficult to integrate and understand as a whole.
Unlike electro-mechanical systems, whose failure modes are fairly well understood and which can often be built to fail in a particular way, software errors are very unpredictable.
After we've been together for a while and decisions may arise, whether it be something small like trying a new restaurant or something bigger such as getting married or moving in together, understand that transitions can often be difficult at first for us to comprehend.
But, they really do not understand how alone someone with cancer can often be.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com