58774786
Challenges in Indexing Electronic Text and Images
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ELSA: An Electronic Library Search Assistant (Demo).
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ELSA (abstract): an electronic library search assistant
interface for the Gratefid Med system. Because about 30% of all Grateful Med searches result in no hits, our contract from the National Library of Medicine was focused on query formulation and intermediate results. In the first phase of the project, we designed guidelines and prototype smens for the existing character-based system. Inthe second phase presented he~, we designed guidelines and prototypes for a GUI. The prototype anchors the user on a query form screen to avoid disorientation provides systematic and consistent feedback for seamh progress, and provides simple suggestions for the special cases of no hits and too many hits. The prototype was mocked up using HyperCard and illustrates what we believe is an impmved component for Grateful Med without assuming Internet access speeds or high-performance workstations. Suggestions for interfaces that am less-constrained by
23806378
Successful Use of an Expert System to Teach Diagnostic Reasoning for Antibody Identification
A previously reported study indicated that, when used by an instructor as a tool to assist with tutoring in a class laboratory setting, use of the Transfusion Medicine Tutor (TMT) resulted in improvements in antibody identification performance of 87-93% (p<.001). Based on input from teachers requesting that TMT be designed for use without the presence of an instructor, a new study on the use of TMT without instructor assistance found that performance improved by 64-66% (p<.001). Finally, based on the results of these two studies, TMT was mailed to 7 sites for beta-testing. In exchange for a free copy of the kit, the instructors (and their students) were asked to fill out questionnaires. Results of these questionnaires are summarized.
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Parallelization and integration of fire simulations in the Uintah PSE
A physics-based stand-alone serial code for fire simulations is integrated in a unified computational framework to couple with other disciplines and to achieve massively parallel computation. Uintah, the computational framework used, is a component-based visual problem-solving environment developed at the University of Utah. It provides the framework for large-scale parallelization for different applications. The integration of the legacy fire code in Uintah is built on three principles: I) Develop different reusable physics-based components that can be used interchangeably and interact with other components, 2) reuse the legacy stand-alone fire code (written in Fortran) as much as possible, and 3) use components developed by third parties, specifically non-linear and linear solvers designed for solving complex-flow problems. A helium buoyant plume is simulated using the Nirvana machine at Los Alamos National Laboratory. Linear scalability is achieved up to 128 processors. Issues related to scaling beyond 128 processors are also discussed.
33249562
The Transfusion Medicine Tutor: Using Expert Systems Technology to Teach Domain-Specific Problem-Solving Skills
This study provides data regarding the effectiveness of the expert system-based Transfusion Medicine Tutor (TMT) when used by medical technology students to learn an important problem-solving task, the identification of alloantibodies in a patient's blood for the purpose of finding compatible blood for transfusion. The results show that the students who were taught by an instructor using TMT to provide the instructional environment went from 0% correct on a pre-test case to 87%–93% correct on post-tests (N=15). This compares with an improvement rate of 20% by a control group (N=15) who used a passive version of the system with the tutoring functions turned off. The results also demonstrate the importance of relying on objective performance data rather than questionnaire data to evaluate systems, as there was no difference in the subjective responses of the students to these two different versions of the system.
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EP-X: A Knowledge-Based System to Aid in Searches of the Environmental Pollution Literature
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VISUALIZING TURBULENT MIXING OF GASES AND PARTICLES
A physical model and interactive computer graphics techniques have been developed for the visualization of the basic physical process of stochastic dispersion and mixing from steady-state CFD calculations. The mixing of massless particles and inertial particles is visualized by transforming the vector field from a traditionally Eulerian reference frame into a Lagrangian reference frame. Groups of particles are traced through the vector field for the mean path as well as their statistical dispersion about the mean position by using added scalar information about the root mean square value of the vector field and its Lagrangian time scale. In this way, clouds of particles in a turbulent environment are traced, not just mean paths. In combustion simulations of many industrial processes, good mixing is required to achieve a sufficient degree of combustion efficiency. The ability to visualize this multiphase mixing can not only help identify poor mixing but also explain the mechanism for poor mixing. The information gained from the visualization can be used to improve the overall combustion efficiency in utility boilers or propulsion devices. We have used this technique to visualize steady-state simulations of the combustion performance in several furnace designs.