4,172 research outputs found

    Synthetic Quantum Systems

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    So far proposed quantum computers use fragile and environmentally sensitive natural quantum systems. Here we explore the new notion that synthetic quantum systems suitable for quantum computation may be fabricated from smart nanostructures using topological excitations of a stochastic neural-type network that can mimic natural quantum systems. These developments are a technological application of process physics which is an information theory of reality in which space and quantum phenomena are emergent, and so indicates the deep origins of quantum phenomena. Analogous complex stochastic dynamical systems have recently been proposed within neurobiology to deal with the emergent complexity of biosystems, particularly the biodynamics of higher brain function. The reasons for analogous discoveries in fundamental physics and neurobiology are discussed.Comment: 16 pages, Latex, 1 eps figure fil

    Self-Referential Noise as a Fundamental Aspect of Reality

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    Noise is often used in the study of open systems, such as in classical Brownian motion and in Quantum Dynamics, to model the influence of the environment. However generalising results from G\"{o}del and Chaitin in mathematics suggests that systems that are sufficiently rich that self-referencing is possible contain intrinsic randomness. We argue that this is relevant to modelling the universe, even though it is by definition a closed system. We show how a three-dimensional process-space may arise, as a Prigogine dissipative structure, from a non-geometric order-disorder model driven by, what is termed, self-referential noise.Comment: 7 pages, Latex, 3 ps figures. Contribution to the 2nd International Conference on Unsolved Problems of Noise, Adelaide 199

    A mixed methods evaluation of an individualised yoga therapy intervention for rheumatoid arthritis: Pilot study

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    Objectives: to explore patients’ experiences of an individualised yoga therapy intervention for rheumatoid arthritis (RA), specifically in terms of its acceptability and impact on patient-reported outcomes. Design: Ten patients took part in a 16 week yoga therapy intervention in a hospital setting, consisting of 10 one-to-one consultations with a yoga therapist followed by two group review sessions. Changes in health (EQ-5D, HADS) were assessed pre- and post-intervention and at 12-month follow-up. In-depth interviews were conducted post-intervention and analysed using thematic analysis. Results: Attendance of the 1-to-1 sessions was high (98%) and all participants reported strong commitment to their personalised home practice. There were significant improvements in measures of depression, anxiety, pain, quality of life and general health at post-intervention and 12-months (p<0.05). In interviews, all but one participant reported positive changes to their symptoms and several reported reductions in their medication and broader benefits such as improved sleep, mood and energy, enabling re-engagement with life. The personally tailored nature of the practice and perceived benefits were key motivational factors. Particular value was placed on the therapeutic function of the consultation and provision of tools to manage stress and build resilience. Conclusion: This yoga therapy intervention was positively received by patients with RA, with high levels of adherence to both the treatments and tailored home practice. The findings suggest that yoga therapy has potential as an adjunct therapy to improve RA symptoms, increase self-care behaviours and manage stress and negative affect such as anxiety. A larger multi-centre study is therefore warranted

    Lessons and Prospects from the pMSSM after LHC Run I: Neutralino LSP

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    We study SUSY signatures at the 7, 8 and 14 TeV LHC employing the 19-parameter, R-Parity conserving p(henomenological)MSSM, in the scenario with a neutralino LSP. Our results were obtained via a fast Monte Carlo simulation of the ATLAS SUSY analysis suite. The flexibility of this framework allows us to study a wide variety of SUSY phenomena simultaneously and to probe for weak spots in existing SUSY search analyses. We determine the ranges of the sparticle masses that are either disfavored or allowed after the searches with the 7 and 8 TeV data sets are combined. We find that natural SUSY models with light squarks and gluinos remain viable. We extrapolate to 14 TeV with both 300 fb−1^{-1} and 3 ab−1^{-1} of integrated luminosity and determine the expected sensitivity of the jets + MET and stop searches to the pMSSM parameter space. We find that the high-luminosity LHC will be powerful in probing SUSY with neutralino LSPs and can provide a more definitive statement on the existence of natural Supersymmetry.Comment: 41 pages, 27 figures. arXiv admin note: substantial text overlap with arXiv:1307.844

    Self-Referential Noise and the Synthesis of Three-Dimensional Space

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    Generalising results from Godel and Chaitin in mathematics suggests that self-referential systems contain intrinsic randomness. We argue that this is relevant to modelling the universe and show how three-dimensional space may arise from a non-geometric order-disorder model driven by self-referential noise.Comment: Figure labels correcte

    The global colour model of QCD and its relationship to the NJL model, chiral perturbation theory and other models

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    The Global Colour Model (GCM) of QCD is a very successful model. Not only is it formally derivable from QCD but under various conditions it reduces to the NJL model and also to Chiral Perturbation Theory, and to other models. Results presented include the effective gluon propagator, the difference between constituent and exact quark propagators, various meson and nucleon observables, a new mass formula for the Nambu-Goldstone mesons of QCD, and the change in the MIT bag constant in nuclei
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