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It's hyperbole in many contexts, where "opponent" would be perfectly adequate.
Synergy in gap closure is possible in many contexts where efforts are made but are not automatic.
This problem occurs in many contexts where multiple commodities (e.g. flow demands) share the same resources, such as transportation problems, bandwidth allocation problems, and flow scheduling problems.
Moreover, there may be many contexts where an indigenous people does see the concept as referring to accumulated observations, for example, or contexts where TEK is viewed as a Western construct irrelevant to environmental governance.
Thus, in many contexts where "function" has been used as a noun, "effect," "consequence," or "activity" would be more appropriately neutral, and "casual role" (or simply "role") would remain fully accurate.
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The theory of abstract argumentation frameworks (afs) has, in the main, focused on finite structures, though there are many significant contexts where argumentation can be regarded as a process involving infinite objects.
This differs greatly from the signaling mechanism for Ras in many other contexts, where class Ia PI3Ks are downstream of Ras.
There are many important contexts where strategic sophistication plays an important role for organizations, such as in decisions on market entry, technology races, company takeovers, or how to optimally intervene through monetary policy instruments in financial markets during a crisis.
In the real-time or many-query contexts, where the goal is to achieve a very low marginal cost per input-output evaluation, we can accept an increased 'Offline' cost - not tolerable for a single or few evaluations - in exchange for greatly decreased 'Online' cost for each new/additional input-output evaluation.
There are many legitimate scientific contexts where, although scientists should have enough of a common understanding of the empirical import of hypotheses to assign quite similar values to likelihoods, precise agreement on the numerical values is unrealistic.
This view has been readily adopted in many different fields and contexts, where situations are by nature dynamic and subject to rapid, unexpected variation.
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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