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In this project I explored the relationship between Qigong and Tai Chi Easy meditative practices and cardiometabolic risk factors, specifically looking at obesity and stress. The meditative focus of Qigong and Tai Chi Easy was expected to improve cardiac vagal tone which should lead to decreases in the inflammatory effects of stress. Additionally, due to the decreases in the harmful effects of stress, we expect to see a decrease in obesity through decreases in BMI and in waist circumference.
ContributorsRameshkumar, Ramya (Author) / Larkey, Linda (Thesis director) / James, Dara (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Fluoroquinolone antibiotics have been known to cause severe, multisystem adverse side effects, termed fluoroquinolone toxicity (FQT). This toxicity syndrome can present with adverse effects that vary from individual to individual, including effects on the musculoskeletal and nervous systems, among others. The mechanism behind FQT in mammals is not known, although various possibilities have been investigated. Among the hypothesized FQT mechanisms, those that could potentially explain multisystem toxicity include off-target mammalian topoisomerase interactions, increased production of reactive oxygen species, oxidative stress, and oxidative damage, as well as metal chelating properties of FQs. This review presents relevant information on fluoroquinolone antibiotics and FQT and explores the mechanisms that have been proposed. A fluoroquinolone-induced increase in reactive oxygen species and subsequent oxidative stress and damage presents the strongest evidence to explain this multisystem toxicity syndrome. Understanding the mechanism of FQT in mammals is important to aid in the prevention and treatment of this condition.
ContributorsHall, Brooke Ashlyn (Author) / Redding, Kevin (Thesis director) / Wideman, Jeremy (Committee member) / Borges, Chad (Committee member) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
In this thesis I introduce a new direction to computing using nonlinear chaotic dynamics. The main idea is rich dynamics of a chaotic system enables us to (1) build better computers that have a flexible instruction set, and (2) carry out computation that conventional computers are not good at it. Here I start from the theory, explaining how one can build a computing logic block using a chaotic system, and then I introduce a new theoretical analysis for chaos computing. Specifically, I demonstrate how unstable periodic orbits and a model based on them explains and predicts how and how well a chaotic system can do computation. Furthermore, since unstable periodic orbits and their stability measures in terms of eigenvalues are extractable from experimental times series, I develop a time series technique for modeling and predicting chaos computing from a given time series of a chaotic system. After building a theoretical framework for chaos computing I proceed to architecture of these chaos-computing blocks to build a sophisticated computing system out of them. I describe how one can arrange and organize these chaos-based blocks to build a computer. I propose a brand new computer architecture using chaos computing, which shifts the limits of conventional computers by introducing flexible instruction set. Our new chaos based computer has a flexible instruction set, meaning that the user can load its desired instruction set to the computer to reconfigure the computer to be an implementation for the desired instruction set. Apart from direct application of chaos theory in generic computation, the application of chaos theory to speech processing is explained and a novel application for chaos theory in speech coding and synthesizing is introduced. More specifically it is demonstrated how a chaotic system can model the natural turbulent flow of the air in the human speech production system and how chaotic orbits can be used to excite a vocal tract model. Also as another approach to build computing system based on nonlinear system, the idea of Logical Stochastic Resonance is studied and adapted to an autoregulatory gene network in the bacteriophage λ.
ContributorsKia, Behnam (Author) / Ditto, William (Thesis advisor) / Huang, Liang (Committee member) / Lai, Ying-Cheng (Committee member) / Helms Tillery, Stephen (Committee member) / Arizona State University (Publisher)
Created2011
Description
Health and healing in the United States is in a moment of deep and broad transformation. Underpinning this transformation is a shift in focus from practitioner- and system-centric perspectives to patient and family expectations and their accompanying localized narratives. Situated within this transformation are patients and families of all kinds. This shift's interpretation lies in the converging and diverging trails of biomedicine, a patient-centric perspective of consensus between practitioner and patient, and postmodern philosophy, a break from prevailing norms and systems. Lending context is the dynamic interplay between increasing ethnic/cultural diversity, acculturation/biculturalism, and medical pluralism. Diverse populations continue to navigate multiple health and healing paradigms, engage in the process of their integration, and use health and healing practices that run corollary to them. The way this experience is viewed, whether biomedically or philosophically, has implications for the future of healthcare. Over this fluid interpenetration, with its vivid nuance, loom widespread health disparities. The adverse effects of static, fragmented healthcare systems unable to identify and answer diverse populations' emergent needs are acutely felt by these individuals. Eradication of health disparities is born from insight into how these populations experience health and healing. The resulting strategy must be one that simultaneously addresses the complex intricacies of patient-centered care, permits emergence of more localized narratives, and eschews systems that are no longer effective. It is the movement of caregivers across multiple health and healing sources, managing care for loved ones, that provides this insight and in which this project is keenly interested. Uncovering the emergent patterns of caregivers' management of these sources reveals a rich and nuanced spectrum of realities. These realities are replete with opportunities to re-frame health and healing in ways that better reflect what these diverse populations of caregivers and care recipients need. Engaging female Mexican American caregivers, a population whose experience is well-suited to aid in this re-frame, this project begins to provide that insight. Informed by a parent framework of Complexity Science, and balanced between biomedical and postmodern perspectives, this constructivist grounded theory secondary analysis charts these caregivers' processes and offers provocative findings and recommendations for understanding their experiences.
ContributorsKrahe, Jennifer Anne Eve (Author) / Lamb, Gerri (Thesis advisor) / Evans, Bronwynne (Committee member) / Larkey, Linda (Committee member) / Arizona State University (Publisher)
Created2013
Description
ABSTRACT Despite significant advancements in drug therapy, cardiovascular disease (CVD) is still the leading cause of death in the United States. Given this, research has begun to seek out alternative approaches to reduce CVD risk. One of these alternative approaches is Vitamin D supplementation. Current research has shown a link between Vitamin D status and CVD risk in both healthy and diseased populations. Among the possible mechanisms is a positive effect of Vitamin D on vascular endothelial function, which can be measured with noninvasive techniques such as flow-mediated dilation (FMD) of conduit vessels using high-resolution ultrasound. This dissertation is comprised of two studies. The first examines whether Vitamin D supplementation can improve FMD in older adults within a time period (two weeks) associated with peak increases in plasma Vitamin D concentrations after a single-dose supplementation. The second examines the effect of Vitamin D supplementation in people with Rheumatoid Arthritis (RA). The reason for looking at an RA population is that CVD is the leading cause of early mortality in people with RA. In the first study 29 Post-Menopausal Women received either 100,000 IU of Vitamin D3 or a Placebo. Their FMD was measured at baseline and 2 weeks after supplementation. After 2 weeks there was a significant increase in FMD in the Vitamin D group (6.19 + 4.87 % to 10.69 + 5.18 %) as compared to the Placebo group (p=.03). In the second study, 11 older adults with RA were given 100,000 IU of Vitamin D or a Placebo. At baseline and one month later their FMD was examined as well as plasma concentrations of Vitamin D and tumor necrosis factor-alpha; (TNF-alpha;). They also filled out a Quality of Life Questionnaire and underwent a submaximal exercise test on the treadmill for estimation of maximum oxygen uptake (VO2max). There was no significant change in FMD in Vitamin D group as compared to the Placebo group (p=.721). Additionally, there was no significant improvement in either plasma Vitamin D or TNF-alpha; in the Vitamin D group. There was however a significant improvement in predicted VO2max from the submaximal exercise test in the group receiving Vitamin D (p=.003). The results of these studies suggest that a single 100,000 IU dose of Vitamin D can enhance FMD within two week in older adults, but that a similar dose may not be sufficient to increase FMD or plasma Vitamin D levels in older adults with RA. A more aggressive supplementation regimen may be required in this patient population.
ContributorsRyan, Dana Meredith (Author) / Gaesser, Glenn A (Thesis advisor) / Rizzo, Warren (Committee member) / Martin, Keith (Committee member) / Larkey, Linda (Committee member) / Chisum, Jack (Committee member) / Arizona State University (Publisher)
Created2012
Description
Complex dynamical systems consisting interacting dynamical units are ubiquitous in nature and society. Predicting and reconstructing nonlinear dynamics of units and the complex interacting networks among them serves the base for the understanding of a variety of collective dynamical phenomena. I present a general method to address the two outstanding problems as a whole based solely on time-series measurements. The method is implemented by incorporating compressive sensing approach that enables an accurate reconstruction of complex dynamical systems in terms of both nodal equations that determines the self-dynamics of units and detailed coupling patterns among units. The representative advantages of the approach are (i) the sparse data requirement which allows for a successful reconstruction from limited measurements, and (ii) general applicability to identical and nonidentical nodal dynamics, and to networks with arbitrary interacting structure, strength and sizes. Another two challenging problem of significant interest in nonlinear dynamics: (i) predicting catastrophes in nonlinear dynamical systems in advance of their occurrences and (ii) predicting the future state for time-varying nonlinear dynamical systems, can be formulated and solved in the framework of compressive sensing using only limited measurements. Once the network structure can be inferred, the dynamics behavior on them can be investigated, for example optimize information spreading dynamics, suppress cascading dynamics and traffic congestion, enhance synchronization, game dynamics, etc. The results can yield insights to control strategies design in the real-world social and natural systems. Since 2004, there has been a tremendous amount of interest in graphene. The most amazing feature of graphene is that there exists linear energy-momentum relationship when energy is low. The quasi-particles inside the system can be treated as chiral, massless Dirac fermions obeying relativistic quantum mechanics. Therefore, the graphene provides one perfect test bed to investigate relativistic quantum phenomena, such as relativistic quantum chaotic scattering and abnormal electron paths induced by klein tunneling. This phenomenon has profound implications to the development of graphene based devices that require stable electronic properties.
ContributorsYang, Rui (Author) / Lai, Ying-Cheng (Thesis advisor) / Duman, Tolga M. (Committee member) / Akis, Richard (Committee member) / Huang, Liang (Committee member) / Arizona State University (Publisher)
Created2012
Description
Cancer claims hundreds of thousands of lives every year in US alone. Finding ways for early detection of cancer onset is crucial for better management and treatment of cancer. Thus, biomarkers especially protein biomarkers, being the functional units which reflect dynamic physiological changes, need to be discovered. Though important, there are only a few approved protein cancer biomarkers till date. To accelerate this process, fast, comprehensive and affordable assays are required which can be applied to large population studies. For this, these assays should be able to comprehensively characterize and explore the molecular diversity of nominally "single" proteins across populations. This information is usually unavailable with commonly used immunoassays such as ELISA (enzyme linked immunosorbent assay) which either ignore protein microheterogeneity, or are confounded by it. To this end, mass spectrometric immuno assays (MSIA) for three different human plasma proteins have been developed. These proteins viz. IGF-1, hemopexin and tetranectin have been found in reported literature to show correlations with many diseases along with several carcinomas. Developed assays were used to extract entire proteins from plasma samples and subsequently analyzed on mass spectrometric platforms. Matrix assisted laser desorption ionization (MALDI) and electrospray ionization (ESI) mass spectrometric techniques where used due to their availability and suitability for the analysis. This resulted in visibility of different structural forms of these proteins showing their structural micro-heterogeneity which is invisible to commonly used immunoassays. These assays are fast, comprehensive and can be applied in large sample studies to analyze proteins for biomarker discovery.
ContributorsRai, Samita (Author) / Nelson, Randall (Thesis advisor) / Hayes, Mark (Thesis advisor) / Borges, Chad (Committee member) / Ros, Alexandra (Committee member) / Arizona State University (Publisher)
Created2012
Description
What can classical chaos do to quantum systems is a fundamental issue highly relevant to a number of branches in physics. The field of quantum chaos has been active for three decades, where the focus was on non-relativistic quantumsystems described by the Schr¨odinger equation. By developing an efficient method to solve the Dirac equation in the setting where relativistic particles can tunnel between two symmetric cavities through a potential barrier, chaotic cavities are found to suppress the spread in the tunneling rate. Tunneling rate for any given energy assumes a wide range that increases with the energy for integrable classical dynamics. However, for chaotic underlying dynamics, the spread is greatly reduced. A remarkable feature, which is a consequence of Klein tunneling, arise only in relativistc quantum systems that substantial tunneling exists even for particle energy approaching zero. Similar results are found in graphene tunneling devices, implying high relevance of relativistic quantum chaos to the development of such devices. Wave propagation through random media occurs in many physical systems, where interesting phenomena such as branched, fracal-like wave patterns can arise. The generic origin of these wave structures is currently a matter of active debate. It is of fundamental interest to develop a minimal, paradigmaticmodel that can generate robust branched wave structures. In so doing, a general observation in all situations where branched structures emerge is non-Gaussian statistics of wave intensity with an algebraic tail in the probability density function. Thus, a universal algebraic wave-intensity distribution becomes the criterion for the validity of any minimal model of branched wave patterns. Coexistence of competing species in spatially extended ecosystems is key to biodiversity in nature. Understanding the dynamical mechanisms of coexistence is a fundamental problem of continuous interest not only in evolutionary biology but also in nonlinear science. A continuous model is proposed for cyclically competing species and the effect of the interplay between the interaction range and mobility on coexistence is investigated. A transition from coexistence to extinction is uncovered with a non-monotonic behavior in the coexistence probability and switches between spiral and plane-wave patterns arise. Strong mobility can either promote or hamper coexistence, while absent in lattice-based models, can be explained in terms of nonlinear partial differential equations.
ContributorsNi, Xuan (Author) / Lai, Ying-Cheng (Thesis advisor) / Huang, Liang (Committee member) / Yu, Hongbin (Committee member) / Akis, Richard (Committee member) / Arizona State University (Publisher)
Created2012
Description
Bacteria play a vital role in the world ecosystem, more importantly human health and disease. The capability to differentiate and identify these microorganisms serves as an important research objective. In past years, separations-based approaches have served as a way to observe and identify bacteria based on their characteristics. Gradient insulator dielectrophoresis (g-iDEP) provides benefits in identifying serotypes of a single species with precise separation. Separation of Staphylococcus epidermidis in a single g-iDEP microchannel is conducted exploiting their electrophoretic and electrokinetic properties. The cells were captured and concentrated at gates with interacting forces within the microchannel to clearly distinguish between the two strains. These results provide support for g-iDEP serving as a separating method and, furthermore, future clinical applications.
ContributorsDavis, Paige Elizabeth (Author) / Hayes, Mark (Thesis director) / Borges, Chad (Committee member) / Jones, Paul (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor)
Created2015-05
Description
I conducted a qualitative, comparative study on the nursing education systems in the United Kingdom and the United States, focusing on two universities—Arizona State University in Phoenix, Arizona and Leeds Beckett University in Leeds, England. The goals of my thesis included comparing the educational, economic, and cultural aspects of the countries and how those aspects impact nursing students on both sides of the pond. The educational and economic aspects were compared by utilizing existing literature and open data sources such as the university websites and publications from comparative education journals, while the cultural differences were evaluated by conducting short, one-on-one interviews with students enrolled in the Adult Health courses at both universities. The findings from the interviews were transcribed and coded, and findings from the sites were compared. While there is an extensive amount of research published regarding comparative education, there has not been much published comparing these developed countries. While there is a significant difference in the structure and cost of the nursing programs, there are more similarities than differences in culture between nursing students interviewed in the US and those interviewed in the UK.
ContributorsTahiliani, Shreja (Author) / Hagler, Debra (Thesis director) / Allen, Angela (Committee member) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05