1,567 research outputs found

    Nietzsche and Heraclitus

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    Nietzshe\u27s philosophical ideas are closely based upon his early studies of Greek thought. Unless his philosophy is approached from the standpoint of its foundation in the ancient Greeks, Heraclitus in particular, then it can be difficult to gain a coherent picture of Nietzsche\u27s thought. In Heraclitus he found an affirmation of precisely what he loved about the ancient Greek way of life, its most fundamental concept: the contest. The Greeks embrace their apparently terrible characteristics and control them with a rule-governed contest. In the same way Heraclitus\u27s universe consists of opposites which strive for dominion, not through wars of annihilation, but by a rule-ordered contest of forces. According to Heraclitean strife, the Greek contest, and Nietzsche\u27s will to power, a balancing out of opposing forces is never achieved, otherwise the struggle which fuels existence would die out. The struggle must never be extinguished; opposing forces must continue the battle, each overcoming the other in turn, for all eternity. This is the way in which the eternal recurrence serves as a prescription for the overman. The will to power, mankind\u27s unrefined animosity and envy, must be acknowledged by the strong individual and transformed from a nihilistic force into one of positive ambition and increase. The eternal recurrence is what the overman strives for within himself; since the rules of eternal becoming, of the contest, do not apply to humanity by nature. Each individual must choose whether to enter into the eternal contest or to extinguish the struggle with his will to power by denying his passions. The eternal recurrence and will to power fit together in that it is the belief in eternal recurrence which gives great individuals the strength to acknowledge the potential of this terrible drive as a source of elevation and increase

    Coaching and Philanthropy: An Action Guide for Grantmakers

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    Describes the emerging practice of one-on-one coaching for nonprofit leadership development; its purposes, benefits, and challenges; and practical guidance for grantmakers in supporting and advancing it. Includes case summaries and recommendations

    Learning in a Multidisciplinary Collaboration: A Case Study of Digital Textile Co-design for Apparel and Interior Designers

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    As a wide range of emerging technologies becomes more relevant in recent years, designers today are faced with learning more untraditional knowledge and skillsets, and the challenge of complex problem solving is often more effective through multi- and/or interdisciplinary collaborations. In a collaborative design environment, the transfer of information or ideas is essential to the development of the design process and outcome. Data were collected from a collaborative design project between apparel and an interior design studio class in a southeastern US institution. The study results suggest that apparel design students experience both challenges and benefits in co-designing with interior design students. Results also reflect the effectiveness of digital 3D visualization tools (Optitex) in achieving a rewarding co-design experience in engineered print design

    Effect of visual feedback on the occipital-parietal-motor network in Parkinson's disease with freezing of gait.

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    Freezing of gait (FOG) is an elusive phenomenon that debilitates a large number of Parkinson's disease (PD) patients regardless of stage of disease, medication status, or deep brain stimulation implantation. Sensory feedback cues, especially visual feedback cues, have been shown to alleviate FOG episodes or even prevent episodes from occurring. Here, we examine cortical information flow between occipital, parietal, and motor areas during the pre-movement stage of gait in a PD-with-FOG patient that had a strong positive behavioral response to visual cues, one PD-with-FOG patient without any behavioral response to visual cues, and age-matched healthy controls, before and after training with visual feedback. Results for this case study show differences in cortical information flow between the responding PD-with-FOG patient and the other two subject types, notably, an increased information flow in the beta range. Tentatively suggesting the formation of an alternative cortical sensory-motor pathway during training with visual feedback, these results are proposed as subject for further verification employing larger cohorts of patients

    Working Partnerships, Partnerships Working

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    Involvement in community partnerships at Virginia Commonwealth University has its roots in the institution\u27s history. The Medical College of Virginia, founded in1838, and the Richmond Professional Institute, founded in 1917, both sought to extend knowledge into the community to change peoples\u27 lives for the better. Today, the VCU campuses are even more entwined with the City of Richmond -- physically, and increasingly so as a partner in the economic and social challenges and opportunities facing the City

    Solving the steady state diffusion equation with uncertainty

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    Abstract The goal of this project is to efficiently solve a steady state diffusion equation with a random coefficient. Although, such equations can be solved using Monte-Carlo methods, the lengthy computation time can be constraining. Using a Karhunen-Loéve expansion allows the random coefficient to be approximated with a finite sum of random variables. This expansion combined with a Galerkin method or stochastic collocation method reduces computation time

    Organizing the Carotid Revascularization Endarterectomy versus Stenting Trial (CREST): National Institutes of Health, Health Care Financing Administration, and industry funding

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    The Carotid Revascularization Endarterectomy versus Stenting Trial (CREST) is a prospective, randomized, multicenter clinical trial of carotid endarterectomy (CEA) versus carotid artery stenting (CAS) as prevention for stroke in patients with symptomatic stenosis greater than or equal to 50%. CREST is sponsored by the US National Institute of Neurological Disorders and Stroke (NINDS) of the US National Institutes of Health (NIH), with additional support by a device manufacturer, and will provide data to the US Food and Drug Administration (FDA) for evaluation of a stent device. Because of budget constraints for CREST, Health Care Financing Administration (HCFA) reimbursement for hospital costs incurred by CREST patients will be essential. The involvement of academic scientists, industry, and three separate government agencies (NIH, FDA, HCFA) has presented many challenges in conducting the trial. A review of the pathways followed to meet these challenges may be helpful to others seeking to facilitate sharing of the costs and burdens of conducting innovative clinical research

    Preconditioning Techniques for Reduced Basis Methods for Parameterized Partial Differential Equations

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    The reduced basis methodology is an efficient approach to solve parameterized discrete partial differential equations when the solution is needed at many parameter values. An offline step approximates the solution space and an online step utilizes this approximation, the reduced basis, to solve a smaller reduced problem, which provides an accurate estimate of the solution. Traditionally, the reduced problem is solved using direct methods. However, the size of the reduced system needed to produce solutions of a given accuracy depends on the characteristics of the problem, and it may happen that the size is significantly smaller than that of the original discrete problem but large enough to make direct solution costly. In this scenario, it may be more effective to use iterative methods to solve the reduced problem. We construct preconditioners for reduced iterative methods which are derived from preconditioners for the full problem. This approach permits reduced basis methods to be practical for larger bases than direct methods allow. We illustrate the effectiveness of iterative methods for solving reduced problems by considering two examples, the steady-state diffusion and convection-diffusion-reaction equations
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