Sentence examples for enhancement context from inspiring English sources

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Given the many possible pair-wise comparisons between different motivating factors, pre-OSCE tutor questions relating to reasons for taking part in OSCE tutor were grouped into three areas: skills enhancement, context and career direction.

Based on the resultant transcript, two independent raters identified six categories relating to the life context of stimulant use for academic performance enhancement: Context of stimulant use beyond academic performance enhancement, Subjective experience of enhancement, Timing of consumption, Objective academic results, Side effects, Pressure to perform.

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We have also demonstrated how the approaches can be applied in various speech enhancement contexts, including single- and multichannel enhancement in both the time and frequency domains and in binaural noise reduction.

In Section 1.5, we show how the two approaches can be applied in various speech enhancement contexts before concluding on the work in Section 2. We consider the very general signal model of an observation signal vector of length M: y = y 1 y 2 ⋯ y M T = x + v, (1).

More specifically, we present two sets of enhancements: (a) context-awareness and processing and (b) improved presentation of information to healthcare professionals.

This paper presents a complete vision-based vehicle detection system for floating car data (FCD) enhancement in the context of vehicular ad hoc networks (VANETs).

The paper "Traffic Data Collection for Floating Car Data Enhancement in V2I Networks" by D. F. Llorca et al. presents a complete vision-based vehicle detection system for floating car data (FCD) enhancement in the context of vehicular ad hoc networks.

The resulting networks are applied to feature enhancement in the context of the 2013 2nd Computational Hearing in Multisource Environments (CHiME) Challenge track 2 task, which consists of the Wall Street Journal (WSJ-0) corpus distorted by highly non-stationary, convolutive noise.

In this context, enhancement of the stability of apelin structure by chemical modification could be an option for addressing new therapeutic challenges.

To further validate the potential of this specific enzyme-responsive signal enhancement in the context of its ultimate use in MRI applications, we attempted to measure the t2 relaxation time of the sharp signal and found a value of 1.3 s, which is typical for small molecules.

In this paper, we introduce a Bayesian framework to optimally combine the estimates from the CD and CI models to achieve robust speech enhancement under varying contexts.

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