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  • Unraveling tissue regeneration using chemical genetics

    Creator:
    Mathew, Lijoy K.
    Abstract:
    The emerging field of regenerative medicine is mainly approached by two different aspects. First is the use of stem cell based models to generate a suite of differentiated cells for therapeutic applications and the alternative approach is to utilize the non-mammalian models that have the inherent capacity to regenerate their...
    Resource Type:
    Dissertation
    Full Text:
    . Mathew for the degree of Doctor of Philosophy in Toxicology presented on October 29, 2007. Title

  • Extending the applicability of implicit Monte Carlo Diffusion : frequency dependence and variance reduction using the difference formulation

    Creator:
    Cleveland, Mathew A.
    Abstract:
    The intent of this work is to extend Implicit Monte Carlo Diffusion (IMD)[Gen. 2001] to account for frequency dependence and to incorporate the difference formulation[Szo. 2005] as a source manipulation variance reduction technique. This work shows the derivation of the probabilities and the associated proofs which govern the frequency dependent...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Mathew A. Cleveland for the degree of

  • A Regional-Scale Three-Dimensional Susceptibility Model for Enhanced Evaluation of Rainfall- and Seismically-Induced Landsliding

    Creator:
    Mathews, Nicolas
    Abstract:
    Shallow landslides are destructive natural hazards that result in widespread losses, both of infrastructure and lives, throughout the world. To help mitigate the impact of landslide hazards, they are commonly characterized across a regional scale by (1) their location and likelihood using susceptibility maps, (2) their magnitude and frequency using...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Nicolas Mathews for the degree of Doctor of Philosophy in

  • Mixing Times for Diffusive Lattice-Based Markov Chains

    Creator:
    Titus, Mathew W.
    Abstract:
    Markov chains have long been used to sample from probability distributions and simulate dynamical systems. In both cases we would like to know how long it takes for the chain's distribution to converge to within varepsilon of the stationary distribution in total variation distance; the answer to this is, called...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Mathew William Titus for

  • Beagle, Oregon, An Unknown Casualty of War: Camp White and the Destruction of a Farming Community During the Second World War

    Creator:
    Shelnutt, Kay
    Abstract:
    This project examines the landscape of the farming community of Beagle, Oregon prior to and during the Second World War and the effect on it due to the construction of Camp White, a World War II training facility. The Beagle landscape is examined through the prism of current theory that...
    Resource Type:
    Masters Thesis
    Full Text:
    destruction of a farming community during the Second World War AN ABSTRACT OF THE THESIS OF Kay Shelnutt

  • Systematic design of biologically-inspired engineering solutions

    Creator:
    Nagel, Jacquelyn Kay
    Abstract:
    Biological organisms, phenomena and strategies, herein referred to as biological systems, provide a rich set of analogies that can be used to inspire engineering innovation. Biologically-inspired, or biomimetic, designs are publicly viewed as creative and novel solutions to human problems. Moreover, some biomimetic designs have become so commonplace that it...
    Resource Type:
    Dissertation
    Full Text:
    Jacquelyn Kay Nagel for the degree of Doctor of Philosophy in Mechanical Engineering presented on June 14

  • Learning algorithms for adapting the compliance of robotic limbs

    Creator:
    Aboufazeli, Mahtab
    Abstract:
    Motivation: Many robots such as legged robots and prosthetic hands/arms are designed to interact with uncertain and time-varying environments to accomplish their tasks. Observations on humans and animals during their daily tasks suggest that they adapt their leg compliance while traversing with different velocities on different grounds and adjust their...
    Resource Type:
    Dissertation
    Full Text:
    : V John Mathews Motivation: Many robots such as legged robots and prosthetic hands/arms are designed

  • Regulation of mouse ribonucleotide reductase by allosteric effector-substrate interplay and hypoxia

    Creator:
    Chimploy, Korakod
    Abstract:
    In order to maintain genetic stability in eukaryotes, tight regulation of the relative sizes of deoxyribonucleoside triphosphate (dNTP) levels inside the cell is essential for optimal fidelity of DNA replication. Ribonucleotide reductase (RNR) is the enzyme responsible for proportional production of DNA precursors. Studies on regulation of this enzyme, the...
    Resource Type:
    Dissertation
    Full Text:
    Reductase by Allostenc Effector-Substrate Interplay and Hypoxia Abstract approved: Christopher K. Mathews

  • Adaptive Movement Intent Decoding for Intuitive Control of Neuroprostheses

    Creator:
    George, Damon A.
    Abstract:
    Movement intent decoders, which interpret volitional movement intent from human bioelectric signals, can be incorporated into modern neuroprostheses to offer people living with limb loss or paralysis the potential to regain their lost motor control. Machine learning methods have become the research standard for continuous decoders with high degrees of...
    Resource Type:
    Masters Thesis
    Full Text:
    Decoding for Intuitive Control of Neuroprostheses Abstract approved: V John Mathews In the United States

  • Action Selection for Heterologous Control of a Continuous-Output Myoelectric Prosthesis

    Creator:
    Sylwester, Sean T.
    Abstract:
    Significance: Movement intent decoding algorithms can interpret human bioelectrical signals to control prosthetic limbs with many degrees of freedom (DOFs). This work involves decoding volitional movement intent from surface electromyogram (sEMG) signals to control prosthetic arms. To train these algorithms, patients flex their muscles to “follow” a movement prompt, and...
    Resource Type:
    Masters Thesis
    Full Text:
    approved: V John Mathews Significance: Movement intent decoding algorithms can interpret human