Concerning the objective on identification of 'invisible' children, most stakeholders agree that it has been attained, while on the solutions identified for their support, substantial progress is still needed.
When the reported spectrum-specific <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0015438.e029.PNG" class= inline-graphic"/> -value (assigned to each of the candidate peptides per spectrum) is in agreement with its definition, it can serve as an objective measure of identification confidence.
In other words, by picking only the best hits one has endorsed the view that the score should not be used as an objective measure of identification confidence across all candidate peptides; or more precisely, the meaning of score depends on its context, i.e., the spectrum used.
These are easily underestimated by a routine examination, therefore the information drew from the detailed analysis of MMSE could potentially serve as a well structured and objective way of identification of changes in mental status in patients with cirrhosis.
The objective of fault identification is to identify process variables responsible for causing a specific fault in the process.
In the deliberative phase of adaptive management, key elements in the decision-making process are developed and refined, including involvement of stakeholders, determination of objectives, identification of management options, projections of the consequences of management, and design of monitoring protocols.
One of the major objectives of system identification is accurate estimation of the system parameters.
The objectives of metabolite identification in early preclinical studies require higher throughput analytical approaches to support medicinal chemistry efforts in designing superior drug-like molecules.
Objective: Identification of the etiology of sensorineural hearing loss (SNHL) in children facilitates management and provides important prognostic information.
The main objective of a typical identification process is to determine the best input parameter set of a given problem for which the cost function is not explicitly known in terms of its associated inputs.
