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Notwithstanding this difficulty validation is of great importance, because an SRR ultimately stands or falls with the correctness of its reason coding – even if it was able to minimize bias when selecting appropriate literature.
But accounting for correctness in terms of reasons itself requires a solution to the Wrong Kind of Reasons problem.
Correctness of the suggested reason for the 1.36 eV feature in the buffer-contacted InAs/GaAs structure rather than that assumed for metamorphic one is confirmed by studies of solar cells based on InAs/GaAs structures with the bottom contacts on the n +-GaAs substrates [18, 24, 59], i.e., with a monotonous band bending through whole the sample from contact to contact.
We would reply that even expert reviewers are prone to subjective bias, and thus not able objectively to decide the correctness of the coding of extracted reasons.
But theorists with this background commitment can accept this second solution to the Wrong Kind of Reasons problem only if concepts like legality and correctness can themselves be accounted for in terms of reasons.
On the basis of their analysis of this procedure, they argue that, although consistent nonstandard synchronization appears to be possible, there are good physical reasons (assuming the correctness of empirical predictions of the special theory of relativity) for preferring standard synchrony.
Another important reason we use OCaml is that it has a relatively clean and simple evaluation model that makes it easier to reason about the correctness of programs.
As we implement selection sort, we will use program annotations (contracts) to define and reason about the correctness of our code.
Using real-world examples, I will show that these tools enable system builders to reason about the correctness of their optimization, and allow orders of magnitude performance improvement while preserving the same programming interface to the developer.
In order to reason about the correctness of the strategy relative to our fault model, we develop a new assembly-level type system designed to guarantee that any control flow transfer to an incorrect block will be caught before control leaves that block.
In order to operate within "the logical space of reasons," one must be at home with normative discourse, responsive to reasons as such, sensitive to standards of correctness and appropriateness.
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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