Exact(1)
The "common sense model of illness representations" describes how patients facing a health problem construct disease cognitions related to symptoms, causes, duration, controllability and consequences [ 23- 26].
Similar(59)
The data representations describe the design of transit data models.
Several techniques have been developed on the basis of the multiplicative and convolutional representations described above.
The resulting integral representations describe both shearing and torsion of prestressed particles with axisymmetric profiles.
Different data representations, described below, have been adopted to mine different typologies of information from the dataset.
These representations describe the spatial and functional relationships of the system, together with their temporal behavior characteristics.
Given the accounts of abstract knowledge representations described above, we predict that concepts taught in STEM classrooms are better understood when they are initially grounded in hands-on learning activities.
The representations described by the robots are often embodiment-specific even if the sensor of the robots is the same e.g., the camera color models may differ slightly [6].
Illness representations describe how people see their illness.
Illness representations describe how people see their illness, as outlined in Leventhal's Self-Regulation Model.
Treatment representations describe how people perceive potential treatment for their disease.
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