74 research outputs found

    The Grizzly, December 3, 1982

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    Graterford Prisoners Counseled • Phi Psi Sponsors Santa • Chem Society Rated Outstanding • Renowned Professor Dies • Steinbright Scholarships Offered • News Briefs: Sigma Pi Sigma Inducts New Members; Operation Native Talent; New Evening School Class; Winterfest II Schedules Events; Going for Baroque • Commuters Don\u27t Get No Respect! • Letters to the Editor • Is Tuition Increase Justified? • Recent Thefts and Attacks Prompt Security Questions • Cheating at Ursinus? • A Last Squeeze Before Departing • The Missionary: A Blessing • Roving Reporter: How Do You Feel About the New Security System in the Quad? • Challenge Yourself at Outward Bound • The Perfect Man • UC Faculty Not Burnt Out • Sports Profile: Mullahy and Bazow, Football Captains • Women\u27s Basketball Tops Aggies in Opener: Jankauskas Scoring and Rebounding Was Key • UC Making a Contribution to Olympic Efforthttps://digitalcommons.ursinus.edu/grizzlynews/1090/thumbnail.jp

    Quantifying kinematics of purposeful movements to real, imagined, or absent functional objects: Implications for modelling trajectories for robot-assisted ADL tasks**

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    BACKGROUND: Robotic therapy is at the forefront of stroke rehabilitation. The Activities of Daily Living Exercise Robot (ADLER) was developed to improve carryover of gains after training by combining the benefits of Activities of Daily Living (ADL) training (motivation and functional task practice with real objects), with the benefits of robot mediated therapy (repeatability and reliability). In combining these two therapy techniques, we seek to develop a new model for trajectory generation that will support functional movements to real objects during robot training. We studied natural movements to real objects and report on how initial reaching movements are affected by real objects and how these movements deviate from the straight line paths predicted by the minimum jerk model, typically used to generate trajectories in robot training environments. We highlight key issues that to be considered in modelling natural trajectories. METHODS: Movement data was collected as eight normal subjects completed ADLs such as drinking and eating. Three conditions were considered: object absent, imagined, and present. This data was compared to predicted trajectories generated from implementing the minimum jerk model. The deviations in both the plane of the table (XY) and the saggital plane of torso (XZ) were examined for both reaches to a cup and to a spoon. Velocity profiles and curvature were also quantified for all trajectories. RESULTS: We hypothesized that movements performed with functional task constraints and objects would deviate from the minimum jerk trajectory model more than those performed under imaginary or object absent conditions. Trajectory deviations from the predicted minimum jerk model for these reaches were shown to depend on three variables: object presence, object orientation, and plane of movement. When subjects completed the cup reach their movements were more curved than for the spoon reach. The object present condition for the cup reach showed more curvature than in the object imagined and absent conditions. Curvature in the XZ plane of movement was greater than curvature in the XY plane for all movements. CONCLUSION: The implemented minimum jerk trajectory model was not adequate for generating functional trajectories for these ADLs. The deviations caused by object affordance and functional task constraints must be accounted for in order to allow subjects to perform functional task training in robotic therapy environments. The major differences that we have highlighted include trajectory dependence on: object presence, object orientation, and the plane of movement. With the ability to practice ADLs on the ADLER environment we hope to provide patients with a therapy paradigm that will produce optimal results and recovery

    Impact of Aortic Stenosis on Myofiber Stress: Translational Application of Left Ventricle-Aortic Coupling Simulation

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    The severity of aortic stenosis (AS) has traditionally been graded by measuring hemodynamic parameters of transvalvular pressure gradient, ejection jet velocity, or estimating valve orifice area. Recent research has highlighted limitations of these criteria at effectively grading AS in presence of left ventricle (LV) dysfunction. We hypothesized that simulations coupling the aorta and LV could provide meaningful insight into myocardial biomechanical derangements that accompany AS. A realistic finite element model of the human heart with a coupled lumped-parameter circulatory system was used to simulate AS. Finite element analysis was performed with Abaqus FEA. An anisotropic hyperelastic model was assigned to LV passive properties, and a time-varying elastance function governed the LV active response. Global LV myofiber peak systolic stress (mean ± standard deviation) was 9.31 ± 10.33 kPa at baseline, 13.13 ± 10.29 kPa for moderate AS, and 16.18 ± 10.59 kPa for severe AS. Mean LV myofiber peak systolic strains were −22.40 ± 8.73%, −22.24 ± 8.91%, and −21.97 ± 9.18%, respectively. Stress was significantly elevated compared to baseline for moderate (p < 0.01) and severe AS (p < 0.001), and when compared to each other (p < 0.01). Ventricular regions that experienced the greatest systolic stress were (severe AS vs. baseline) basal inferior (39.87 vs. 30.02 kPa; p < 0.01), mid-anteroseptal (32.29 vs. 24.79 kPa; p < 0.001), and apex (27.99 vs. 23.52 kPa; p < 0.001). This data serves as a reference for future studies that will incorporate patient-specific ventricular geometries and material parameters, aiming to correlate LV biomechanics to AS severity

    PARTICLE DAMPING OF A PLANE ACOUSTIC WAVE IN SOLID PROPELLANT COMBUSTION GASES

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    Shaping the Ambience of Homes with Domestic Hypermedia

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    Abstract. We currently witness a massive digitization of domestic materials e.g. photos, music, calendars, recipes, notes, messages. This digitization pro-vides new conditions for how we interact with materials as well as how users shape the ambience of their homes. Observing the qualities of physical materi-als in the home, the process of digitization risks loosing the qualities of the spa-tial distribution, the aesthetics, and common reference points offered by physi-cal materials and places in the home. We present a concept of domestic hyper-media (DoHM), which exploits potentials of digital materials and at the same time allow people to interact with digital materials in engaging ways providing rich experiences when organizing and using digital materials in homes. We pre-sent an infrastructure and design concepts that offer: ambient access to digital materials, common reference points, and collective experiences
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