The phrase "almost never possible" is correct and usable in written English.
It can be used to describe a situation or event that is very unlikely to occur.
Example: "In this line of work, achieving perfection is almost never possible, but we strive for excellence."
Alternatives: "rarely feasible" or "hardly ever achievable".
On the other hand, uniqueness results are almost never possible without some kind of (lambda )-convexity (or weaker versions of it, as in [34]) of the functional.
We view our current formulation as a step towards the general case, much like the commonly accepted methodology where channel state information is assumed known perfectly in first steps of a new problem (MIMO, interference channels, scaling laws), even though that assumption is almost never possible.
It is almost never possible to save 32 lives in the same period of time.
However, as this is almost never possible, pragmatic inference from pipelines should be conducted by methodologies that account for all uncertainties in all stages.
So that when Person and Savulescu say: 'It is almost never possible to save 32 lives in the same period of time' I am sorry to have to say that this is manifestly absurd.
Answers ranged from "almost always" to "almost never", and possible scores on this measure of relationship quality were from 17 (highest quality) to 68 (lowest quality).
Through practice and awareness, it is possible to almost never make mistakes, although the developers cannot make the perfection claim themselves.
In absence of historical, spatially extensive ground data, which are almost never available, it is not possible to verify or falsify the three datasets we compare here [26,28,29].
This almost never happens, but it's possible.
In absence of historical, spatially extensive ground data, which are almost never available, it is not possible to verify or falsify the three datasets we compare here [ 26, 28, 29].
After extensive training (80 foraging bouts and at least 640 flower visits), bees reduced their flight distances and prioritized shortest possible routes, while almost never following nearest-neighbour solutions.
