Sentence examples for data and familiarity from inspiring English sources

Exact(1)

We examine how the design features underlying these ethical issues are characteristic of effectiveness trials, which are often large trials that compare treatments with varying degrees of existing effectiveness data and familiarity to patients and clinicians, in community-based treatment settings, with minimal exclusion criteria that could involve vulnerable populations.

Similar(59)

We chose the Google Maps Javascript Application Programming Interface (API, Google Inc., Mountain View California) for its speed, capabilities to handle immensely large image data sets, and familiarity to our students and faculty [ 22].

Engaging with the data generates understanding, insight and familiarity, which are the building blocks of analysis.

Data warehouse modeling is a complex task, which involves knowledge of business processes of the domain of discourse, understanding the structural and behavioral system's conceptual model, and familiarity with data warehouse technologies.

Thus, the neuroimaging data using measurements of recollection and familiarity do not support a clean functional dissociation between recollective processing in the hippocampal region and familiarity processing in the structures of the parahippocampal gyrus.

However, gains in privacy, more frequent follow-up, and quicker access to data must be balanced with the high cost of programming, potential loss of data, and lack of participant familiarity and comfort with technologically complex data collection methods.

The study is as such not an evaluation of performance, and the first-hand knowledge of context and familiarity with the data material may be seen as a strength to this descriptive observational study.

Three themes emerged from the data: i) the appeal of usability and familiarity, ii) acceptability, validity and integration into domestic routines, and iii) perceived impact on clinical care.

Data on familiarity with, and perceptions of similarity among 11 engineering specialties were collected from 129 undergraduate engineering students from a public urban university.

While familiarity with data and science might be a given for the pair, how have they taken to their new roles as art curators of sorts?

Acquiring such training data and doing the training requires familiarity with annotation tools as well as experience in machine learning-based systems for natural language applications.

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