Sentence examples for may correctly identify from inspiring English sources

In the case of law, an interpretation so understood may correctly identify, say, some change in rights and obligations that obtained in virtue of an enactment, even though the enactment's having that impact was not considered and endorsed, in some specified sense, by the enacting institution.

Selection of linked markers by the model selection procedure may correctly identify the presence of the genetic effect even when the exact position is not identified.

These results indicate that participants may correctly identify a letter, yet misattribute the location –within a relatively fixed and bounded spatial window and independently of ISI.

Therefore, our approach may correctly identify more biological functions than approaches based on pairwise DE methods.

Accurate assessment of tumour response to chemotherapy may correctly identify which patients are suitable candidates for BCS, minimising the rates of re-excision surgery, thereby minimising risk and distress to the patient caused by repeated surgical procedures.

Although it may correctly identify "outbreak" episodes as well as reflect the spread of the disease due to human migratory movements, it is known to overestimate clustering of isolates [ 2].

Furthermore, current guidelines for the management of bone health in women with breast cancer may not correctly identify patients who may benefit from therapy.

Thus, using histopathological features and clinical characteristics alone may not correctly identify the relationship between de novo and recurrent breast cancer [ 9].

The use of appropriate diagnostic strategies, which may help correctly identify the disease at early asymptomatic stages and lead to the implementation of suitable corrective therapies, is imperative.

A concern was that PNs who provide care for patients with a physical chronic disease may not correctly identify and treat psychosocial problems, since they have little experience with psychological and social health problems.

However, our results suggest that ICD-9 administrative data are reasonably accurate for identifying diabetic and non-diabetic cases but that the index admission alone may not correctly identify prevalent diabetic patients in the ICD-10 era, which is important information for jurisdictions where multiple data sources are not available.