2,505 research outputs found

    Shear instability in skin tissue

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    We propose two toy-models to describe, predict, and interpret the wrinkles appearing on the surface of skin when it is sheared. With the first model, we account for the lines of greatest tension present in human skin by subjecting a layer of soft tissue to a pre-stretch, and for the epidermis by endowing one of the layer's faces with a surface tension. For the second model, we consider an anisotropic model for the skin, to reflect the presence of stiff collagen fibres in a softer elastic matrix. In both cases, we find an explicit bifurcation criterion, linking geometrical and material parameters to a critical shear deformation accompanied by small static wrinkles, with decaying amplitudes normal to the free surface of skin

    Should we be treating animal schistosomiasis in Africa? The need for a One Health economic evaluation of schistosomiasis control in people and their livestock

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    A One Health economic perspective allows informed decisions to be made regarding control priorities and/or implementation strategies for infectious diseases. Schistosomiasis is a major and highly resilient disease of both humans and livestock. The zoonotic component of transmission in sub-Saharan Africa appears to be more significant than previously assumed, and may thereby affect the recently revised WHO vision to eliminate schistosomiasis as a public health problem by 2025. Moreover, animal schistosomiasis is likely to be a significant cost to affected communities due to its direct and indirect impact on livelihoods. We argue here for a comprehensive evaluation of the economic burden of livestock and zoonotic schistosomiasis in sub-Saharan Africa in order to determine if extending treatment to include animal hosts in a One Health approach is economically, as well as epidemiologically, desirable

    ATD-2 TTP Operational Metrics Messages

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    ATD-2 TTP Airport Information Messages

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    This document is the first of five documents that describe the TFDM Terminal Publication (TTP) implementation within ATD-2 including data message formats and data schemas

    ATD-2 TTP Traffic Management Messages

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    This document is the fifth of five documents that describe the TFDM Terminal Publication (TTP) implementation within ATD-2 including data message formats and data schemas

    Corbin on Contracts: Part II: Statute of Frauds

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    Note: U-Pb baddeleyite dating clarifies age of characteristic paleomagnetic remanence of Long Range dykes, southeastern Labrador

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    A second age of 615 Ma has been obtained for the Long Range dykes in Labrador. This age removes uncertainty, introduced by anomalous paleomagnetic results, that more than one age of dykes trending north-northeast is present in the region. It also establishes that the age of the primary magnetization of the Long Range dykes is 615 Ma. RÉSUMÉ On a obtenu un deuxième âge, fixé à 615 Ma, par rapport aux dykes de Long Range, au Labrador. Celui-ci élimine l'incertitude, qu'avaient amenée des résultats paléomagmétiques anomaux, au sujet de la présence de dykes de Long Range d'une direction nord-nord-est de plus d'un âge dans la région. On a en outre établi l'âge de la magnétisation originelle des dykes de Long Range à 615 Ma. [Traduit par la rédaction

    Black and Minority Ethnic Trainees' Experiences of Physical Education Initial Teacher Training: Report to the Training and Development Agency

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    Characterising particulate random media from near-surface backscattering: A machine learning approach to predict particle size and concentration

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    To what extent can particulate random media be characterised using direct wave backscattering from a single receiver/source? Here, in a two-dimensional setting, we show using a machine learning approach that both the particle radius and concentration can be accurately measured when the boundary condition on the particles is of Dirichlet type. Although the methods we introduce could be applied to any particle type. In general backscattering is challenging to interpret for a wide range of particle concentrations, because multiple scattering cannot be ignored, except in the very dilute range. Across the concentration range from 1% to 20% we find that the mean backscattered wave field is sufficient to accurately determine the concentration of particles. However, to accurately determine the particle radius, the second moment, or average intensity, of the backscattering is necessary. We are also able to determine what is the ideal frequency range to measure a broad range of particles sizes. To get rigorous results with supervised machine learning requires a large, highly precise, dataset of backscattered waves from an infinite half-space filled with particles. We are able to create this dataset by introducing a numerical approach which accurately approximates the backscattering from an infinite half-space.EPSRC Grant EP/K033208/I and EP/R014604/
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