1,101 research outputs found

    Experiences of multilingual social workers : trauma therapy in Spanish and English

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    This exploratory study examines the experiences of social workers engaging in multilingual—Spanish and English—therapy with individuals who speak both Spanish and English, identify as Latino/a, have a history of trauma, and identify as having a history (personal, familial) of immigration to the U.S. The study uses semi-structured interviews with 10 social workers to gather qualitative data about their experiences engaging in trauma therapy with individuals who identify as multilingual as well as Latino/a immigrants to the U.S. The project examines ways that multilingual clinicians process trauma with individuals in more than one language; paying attention to the ways clinicians think about language in therapy, what they observe about transference and countertransference, as well as conceptualize their use of self. An enhanced understanding of clinicians\u27 experiences of engaging in trauma therapy in two languages may support the development of ethical and appropriate services to marginalized newcomers, as well as contribute more information about how to provide high quality services for multilingual individuals and immigrant populations

    Extending the generalized Chaplygin gas model by using geometrothermodynamics

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    We use the formalism of geometrothermodynamics (GTD) to derive fundamental thermodynamic equations that are used to construct general relativistic cosmological models. In particular, we show that the simplest possible fundamental equation, which corresponds in GTD to a system with no internal thermodynamic interaction, describes the different fluids of the standard model of cosmology. In addition, a particular fundamental equation with internal thermodynamic interaction is shown to generate a new cosmological model that correctly describes the dark sector of the Universe and contains as a special case the generalized Chaplygin gas model.Comment: 18 pages, 7 figures. Section added: Basics aspects of geometrothermodynamic

    Scaling differences between large interplate and intraplate earthquakes

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    A study of large intraplate earthquakes with well-determined source parameters shows that these earthquakes obey a scaling law similar to large interplate earthquakes, in which M_0 ∝ L^2 or u = αL, where L is rupture length and u is slip. In contrast to interplate earthquakes, for which α ≈ 1 × 10^(−5), for for the intraplate events α ≈ 6 × 10^(−5), which implies that these earthquakes have stress drops about 6 times higher than interplate events. This result is independent of focal mechanism type. This implies that intraplate faults have a higher frictional strength than do plate boundaries, and hence that faults are velocity or slip weakening in their behavior. This factor may be important in producing the concentrated deformation that creates and maintains plate boundaries

    Needle Tip Force Estimation using an OCT Fiber and a Fused convGRU-CNN Architecture

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    Needle insertion is common during minimally invasive interventions such as biopsy or brachytherapy. During soft tissue needle insertion, forces acting at the needle tip cause tissue deformation and needle deflection. Accurate needle tip force measurement provides information on needle-tissue interaction and helps detecting and compensating potential misplacement. For this purpose we introduce an image-based needle tip force estimation method using an optical fiber imaging the deformation of an epoxy layer below the needle tip over time. For calibration and force estimation, we introduce a novel deep learning-based fused convolutional GRU-CNN model which effectively exploits the spatio-temporal data structure. The needle is easy to manufacture and our model achieves a mean absolute error of 1.76 +- 1.5 mN with a cross-correlation coefficient of 0.9996, clearly outperforming other methods. We test needles with different materials to demonstrate that the approach can be adapted for different sensitivities and force ranges. Furthermore, we validate our approach in an ex-vivo prostate needle insertion scenario.Comment: Accepted for Publication at MICCAI 201

    A novel non-invasive biosensor based on electric field detection for cardio-electrophysiology in zebrafish embryos

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    In this paper we report a novel biosensor based on electric field detection for recording cardiac electrical activity in zebrafish embryos. Using Sussex patented Electric Potential Sensing technology, a portable, non-invasive and cost-effective platform is developed to monitor in vivo electrocardiogram activity from the zebrafish heart. Cardiac activity signals were successfully detected from living zebrafish embryos starting at 3 days-post-fertilizatio

    The Ricci flow of asymptotically hyperbolic mass and applications

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    We consider the evolution of the asymptotically hyperbolic mass under the curvature-normalized Ricci flow of asymptotically hyperbolic, conformally compactifiable manifolds. In contrast to asymptotically flat manifolds, for which ADM mass is constant during Ricci flow, we show that the mass of an asymptotically hyperbolic manifold of dimension n>2 decays smoothly to zero exponentially in the flow time. From this, we obtain a no-breathers theorem and a Ricci flow based, modified proof of the scalar curvature rigidity of zero-mass asymptotically hyperbolic manifolds. We argue that the nonconstant time evolution of the asymptotically hyperbolic mass is natural in light of a conjecture of Horowitz and Myers, and is a test of that conjecture. Finally, we use a simple parabolic scaling argument to produce a heuristic "derivation" of the constancy of ADM mass under asymptotically flat Ricci flow, starting from our decay formula for the asymptotically hyperbolic mass under the curvature-normalized flow.Comment: Revised in accord with referee comments, typos and minor errors corrected, Appendix B added, footnotes in-lined; version accepted for publicatio

    The Early Bird Catches The Term: Combining Twitter and News Data For Event Detection and Situational Awareness

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    Twitter updates now represent an enormous stream of information originating from a wide variety of formal and informal sources, much of which is relevant to real-world events. In this paper we adapt existing bio-surveillance algorithms to detect localised spikes in Twitter activity corresponding to real events with a high level of confidence. We then develop a methodology to automatically summarise these events, both by providing the tweets which fully describe the event and by linking to highly relevant news articles. We apply our methods to outbreaks of illness and events strongly affecting sentiment. In both case studies we are able to detect events verifiable by third party sources and produce high quality summaries
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