In this regard, CPOE technology highlights the important distinction between error and harm; errors are an important intermediate outcome, but preventing patient harm is the ultimate goal [ 49].
Fundamental issues in V&V are addressed, such as code verification versus solution verification, model validation versus solution validation, the distinction between error and uncertainty, conceptual sources of error and uncertainty, and the relationship between validation and prediction.
In particular, I will examine how strategic processes interact with a cerebellar error-based learning system in sensorimotor adaptation, highlighting a distinction between error signals that improve action execution or action selection.
Occasionally, the distinction between errors of law and errors of fact can be fuzzy.
In his judgment, Lord Browne-Wilkinson referred to O'Reilly v. Mackman (1983) and opined that "the decision in [Anisminic] rendered obsolete the distinction between errors of law on the face of the record and other errors of law by extending the doctrine of ultra vires".
The distinction between errors in judgment and criminal negligence has been understood for centuries, and as 18th Century commentator's description of the distinction still rings true today: Has the [Soldier] observed the plain, known Rules of his Profession.
In order to deal with the situation that the unstable state of power system being mistaken as stable ones, this model selects different penalty factors C1 and C0 to deal with the distinction between errors due to different causes.
DBQ has been used in several studies in many countries and despite minor cultural nuances, the distinction between errors as unintentional mistakes and violations as deliberate acts has been supported by all international studies, including the one presented in this paper.
With a lower coverage, there would be many sites where the distinction between errors and polymorphisms is not possible.
Introducing the distinction between the error of rejecting a true hypothesis (type I error) and accepting a false hypothesis (type II error), they argued that it depends on the consequences of the error to decide whether it is more important to avoid rejecting a true hypothesis or accepting a false one.
