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Dedicated professionals deploying skill, tenacity and tenderness towards citizens of every age, faith, shape and class – it's a story we seem never to tire of.
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Deploying skills developed as a successful dealer in the tough postwar second-hand car trade, he made offers that amateurs could not refuse.
The front-engine 2.5-liter grand prix cars, the peak of engineering for their day, executed exquisite four-wheel drifts through the corners, their drivers only inches from oblivion, deploying skills rarely seen in contemporary rear-engine Formula One cars with their glued-to-the-track aerodynamics.
Deploying skills developed during her own earlier career in public relations – together with a naturally forceful and forthright manner, the combination fuelled by a deep love of jazz – she worked indefatigably for almost 40 years to ensure that Stan achieved something like the status he deserved, measured in awards, commissions and festival appearances around the world.
Fig. 2 The cost of deploying skills.
He highlighted the need to attract external funding, with the mayor deploying "skills of negotiation" to make people invest in the area.
Deploying skills is costless within the limit of one's endowment, and it is subject to a constant marginal cost for any skill level beyond one's endowment, as in Fig. 2. In other words, workers are allowed to deploy a level of skills that goes beyond their endowments provided they pay a utility cost.
Only one additional assumption would be needed regarding the relative ratio of the returns to skills above and below max j and the marginal costs above and below η i to avoid unreasonable and uninteresting equilibria in which, for example, the under-skilled find it optimal to deploy skills above max j.
Assuming that F is large enough to make the decision to deploy skills below min j always suboptimal, under-skilled workers choose to deploy the minimum level of skills that allows them not to incur in the cost F: (s_{i}^=min_{j}).
By explicitly modelling the choice to deploy skills, our model provides guidance not only for the measurement of skill mismatch but also for the interpretation of the questions regarding the use of skills at work.
Further, assume that there are fixed costs k j to operate the job and that the marginal product of deployed skills is locally constant and decreases above a certain threshold.
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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