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Results can be presented using a geographical information system (GIS).
A feature-based approach to the face-recognition will be presented, using a set of landmarks to outline facial biometrics.
Time and space variations can be presented using a range of contouring and colour mapping techniques, in addition to interactive plots of time-series parameters.
Or the proof can be presented using a different notational convention, one which forces a quite different expression of associativity.
Furthermore, stochastic uncertainty surrounding the ICERs will be presented using a cost-effectiveness acceptability curve.
Invitations will be presented using a standardised telephone script and carried out by a nurse experienced in the care of people with HD, and already known to the person with HD or his/her family through clinical care.
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The auditory stimuli were presented using a PC and Presentation Software (Neurobehavioral Systems Inc., Albany, CA, USA).
Stimuli were presented using a specific-purpose device.
All video footage was presented using a head mounted display (Oculus Rift, Development Kit 2) using in-house software developed using Unity3D.
Finally, an experimental test case is presented using a structure with an active control feedback.
A validation of the technique is presented using a synthetic dataset from a finite element model.
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