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Although from a limited pool of surgical modalities, data from all four studies suggests that patients were happy to receive routine follow-up care by telephone and in most instances showed some preference to this method compared with an appointment in the outpatient department.
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We explore this relationship through the construct of modality using data from a study conducted in a high school computer science classroom in which students spent five weeks working in block-based, text-based, and hybrid block/text programming environments.
Visual and auditory levels for each subject were determined through the examination of psychometric functions for each modality using data from the practice tests.
One might look at this from three viewpoints: clinical data, radiographic data (either conventional radiographs or newer modalities), and finally data from the evaluation of target tissues such as the synovial membrane.
Hybrid representation uses different representations from a single modality rather than using data from different modalities.
Sample lip region images from audio-visual corpus are shown in Figure 1a. Figure 1 Visual modality: data and parametrization.
We present RIPMMARC (Rotation Invariant Patch-based Multi-Modality Analysis aRChitecture), a flexible and widely applicable method for extracting information unique to a given modality from a multi-modal data set.
It manages images produced by imaging modalities and related patient data from RIS or HIS, depending on the individual clinical setting [ 48].
Since neither modality alone performed adequately, data from the PAR and SWA were combined into a composite measure using a logic-based categorical system to better differentiate participants who engaged in recommended levels of MVPA.
This allows to deal with perceptual algorithms having different spatio-temporal properties and provides a structured way for integrating anchor data from multiple modalities.
To overlay and jointly use the data from both modalities, it is necessary to calibrate the sensors, i.e., to obtain the spatial relation between the sensors.
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