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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Aging and the illusion of truth : contextual influences on judgments of validity and familiarity

Parks, Colleen M. 12 1900 (has links)
No description available.
2

Neuropsychological Assessment of Brain Damage: A Validation Study of the McCarron-Dial System

Dial, Jack Grady 08 1900 (has links)
The present study investigates the effect of brain damage on verbal-spatial-cognitive (VSC) and sensorimotor (SM) measures included in the McCarron-Dial System (MDS). The subjects include 141 brain damaged adults and 42 psychiatric controls. The following research questions are addressed: (a) Does the brain damaged group differ significantly from controls? (b) Are there significant differences among left, right, anterior, posterior, and diffuse brain damaged groups? (c) Do early onset, late onset, acute, and chronic damaged groups differ significantly? and (d) Does a cerebral palsy group differ significantly from a non-CP brain damaged group?
3

Context-aware information systems and their application to health care

Kawasme, Luay 14 October 2008 (has links)
This thesis explores the field of context-aware information systems (CAIS). We present an approach called Compose, Learn, and Discover (CLD) to incorporate CAIS into the user daily workflow. The CLD approach is self-adjusting. It enables users to personalise the information views for different situations. The CAIS learns about the usage of the information views and recalls the right view in the right situation. We illustrate the CLD approach through an application in the health care field using the Clinical Document Architecture (CDA). In order to realise the CLD approach, we introduce Semantic Composition as a new paradigm to personalise information views. Semantic Composition leverages the type information in the domain model to simplify the user-interface composition process. We also introduce a pattern discovery mechanism that leverages data-mining algorithms to discover correlations between user information needs and different situations.

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