3,774 research outputs found

    Field condensations and Noncritical String for c>1

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    Quantum theory of 2d gravity for c>1c>1 is examined as a non-critical string theory by taking account of the loop-correction of open strings whose end points are on the 2d world surface of the closed string. This loop-correction leads to a conformal anomaly, and we obtain a modified target-space action which implies a new phase of the non-critical closed-string. In this phase, the dual field of the gauge field, which lives on the boundary, condenses and the theory can be extended to c>1c>1 without any instability.Comment: 17 pages, Latex, no figur

    Phase Transitions of Single Semi-stiff Polymer Chains

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    We study numerically a lattice model of semiflexible homopolymers with nearest neighbor attraction and energetic preference for straight joints between bonded monomers. For this we use a new algorithm, the "Pruned-Enriched Rosenbluth Method" (PERM). It is very efficient both for relatively open configurations at high temperatures and for compact and frozen-in low-T states. This allows us to study in detail the phase diagram as a function of nn-attraction epsilon and stiffness x. It shows a theta-collapse line with a transition from open coils to molten compact globules (large epsilon) and a freezing transition toward a state with orientational global order (large stiffness x). Qualitatively this is similar to a recently studied mean field theory (Doniach et al. (1996), J. Chem. Phys. 105, 1601), but there are important differences. In contrast to the mean field theory, the theta-temperature increases with stiffness x. The freezing temperature increases even faster, and reaches the theta-line at a finite value of x. For even stiffer chains, the freezing transition takes place directly without the formation of an intermediate globule state. Although being in contrast with mean filed theory, the latter has been conjectured already by Doniach et al. on the basis of low statistics Monte Carlo simulations. Finally, we discuss the relevance of the present model as a very crude model for protein folding.Comment: 11 pages, Latex, 8 figure

    Confidential Boosting with Random Linear Classifiers for Outsourced User-generated Data

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    User-generated data is crucial to predictive modeling in many applications. With a web/mobile/wearable interface, a data owner can continuously record data generated by distributed users and build various predictive models from the data to improve their operations, services, and revenue. Due to the large size and evolving nature of users data, data owners may rely on public cloud service providers (Cloud) for storage and computation scalability. Exposing sensitive user-generated data and advanced analytic models to Cloud raises privacy concerns. We present a confidential learning framework, SecureBoost, for data owners that want to learn predictive models from aggregated user-generated data but offload the storage and computational burden to Cloud without having to worry about protecting the sensitive data. SecureBoost allows users to submit encrypted or randomly masked data to designated Cloud directly. Our framework utilizes random linear classifiers (RLCs) as the base classifiers in the boosting framework to dramatically simplify the design of the proposed confidential boosting protocols, yet still preserve the model quality. A Cryptographic Service Provider (CSP) is used to assist the Cloud's processing, reducing the complexity of the protocol constructions. We present two constructions of SecureBoost: HE+GC and SecSh+GC, using combinations of homomorphic encryption, garbled circuits, and random masking to achieve both security and efficiency. For a boosted model, Cloud learns only the RLCs and the CSP learns only the weights of the RLCs. Finally, the data owner collects the two parts to get the complete model. We conduct extensive experiments to understand the quality of the RLC-based boosting and the cost distribution of the constructions. Our results show that SecureBoost can efficiently learn high-quality boosting models from protected user-generated data

    Adopting and maintaining a healthy lifestyle in low SES families: How the experience of motherhood shapes responses to dietary and physical activity public health guidance

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    Availability of data and materials: The data that support the findings of this study are available in the PhD thesis, Wittels PY Shaping health: understanding and influencing lifestyle behaviours in low socioeconomic women, Brunel University London, 2021 https://bura.brunel.ac.uk/bitstream/2438/21644/1/FulltextThesis.pdf.The Annette Lawson (AL) Charitable Trust made an award of £600 with the funds being used to recognise the time the participants gave to the interviews. Brunel University College of Health and Life Sciences made an award of an additional £200 to make payments to the participants for the third interviews

    The Family Is My Priority: How Motherhood Frames Participation in Physical Activity in a Group of Mothers Living in a Low Socioeconomic Status Area

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    Copyright: © 2022 by the authors. Socioeconomic status (SES) is known to influence strongly both life expectancy and healthy life expectancy. Whilst there are multiple factors with complex interactions that provide the explanation for this observation, differences in the uptake of physical activity between high and low SES groups play a role. This in-depth qualitative study set out to understand the response of a group of mothers with young children living in a low SES area of a London (UK) borough to the current physical activity guidance and to investigate whether existing and established interventions based on behavior change are appropriate for this group. A series of three in depth interviews was carried out with the mothers (n = 20) over a period of 16 months, and the data collected were analyzed thematically. Four main themes were identified: (1) mothering comes before exercise; (2) mothers are a special case; (3) alone or together; and (4) facilities fail mothers. The mothers were unsure about the benefits of exercise, whether it was relevant for them and how to accommodate exercise alongside their mothering responsibilities. Family and peer group could be both a barrier and a facilitator to participation in physical activity. Without an in depth understanding of the role of physical activity in the lives of mothers of young children, behavior change-based public interventions are likely to fail to meet the needs of this group. A reduction in the current health inequities will only be possible when the needs of the mothers are acknowledged and used as the basis of appropriate public health guidance.The Annette Lawson (AL) Charitable Trust; Brunel University London, College of Health and Life Sciences

    VetCompass Australia: A National Big Data Collection System for Veterinary Science

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    VetCompass Australia is veterinary medical records-based research coordinated with the global VetCompass endeavor to maximize its quality and effectiveness for Australian companion animals (cats, dogs, and horses). Bringing together all seven Australian veterinary schools, it is the first nationwide surveillance system collating clinical records on companion-animal diseases and treatments. VetCompass data service collects and aggregates real-time, clinical records for researchers to interrogate, delivering sustainable and cost-effective access to data from hundreds of veterinary practitioners nationwide. Analysis of these clinical records will reveal geographical and temporal trends in the prevalence of inherited and acquired diseases, identify frequently prescribed treatments, revolutionize clinical auditing, help the veterinary profession to rank research priorities, and assure evidence-based companion-animal curricula in veterinary schools. VetCompass Australia will progress in three phases: (1) roll-out of the VetCompass platform to harvest Australian veterinary clinical record data; (2) development and enrichment of the coding (data-presentation) platform; and (3) creation of a world-first, real-time surveillance interface with natural language processing (NLP) technology. The first of these three phases is described in the current article. Advances in the collection and sharing of records from numerous practices will enable veterinary professionals to deliver a vastly improved level of care for companion animals that will improve their quality of life

    Absolute photoionization cross section measurements of the Kr I-isoelectronic sequence

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    Photoionization spectra have been recorded in the 4s, 4p and 3d resonance regions for the Kr Iisoelectronic sequence using both the dual laser produced plasma technique (at DCU) to produce photoabsorption spectra, and the merged ion beam and synchrotron radiation technique (at ASTRID) to measure absolute photoionization cross sections. Profile parameters are compared for the 4s − np resonances of Rb+ and Sr2+. Many new 4p " ns, md transitions are identified with the aid of Hartree-Fock calculations, and consistent quantum defects are observed for the various ns and md Rydberg series. Absolute single and double photoionization cross sections recorded in the 3d region for Rb+ and Sr2+ ions show preferential decay via double photoionization. This is only the second report where both the DLP technique and the merged beam technique have been used simultaneously to record photoionization spectra, and the advantages of both techniques (i.e. better resolution in the case of DLP and values for absolute photoionization cross sections in the case of the merged beam technique) are highlighted
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