19,127 research outputs found

    Causal Factors, Causal Inference, Causal Explanation

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    There are two concepts of causes, property causation and token causation. The principle I want to discuss describes an epistemological connection between the two concepts, which I call the Connecting Principle. The rough idea is that if a token event of type Cis followed by a token event of type E, then the support of the hypothesis that the first event token caused the second increases as the strength of the property causal relation of C to E does. I demonstrate the principle, illustrate its application to phylogenies, infections, and rumours, and discuss its consequence for the conceptual distinctness of causal processes from the events they connect. Although I am by no means confident that the Connecting Principle is ultimately correct, it seems to be a useful point of departure into an important aspect of the epistemology of causality

    Radiation pressure detection and density estimate for 2011 MD

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    We present our astrometric observations of the small near-Earth object 2011~MD (H28.0H \sim 28.0), obtained after its very close fly-by to Earth in June 2011. Our set of observations extends the observational arc to 7373 days, and together with the published astrometry obtained around the Earth fly-by allows a direct detection of the effect of radiation pressure on the object, with a confidence of 5σ5\sigma. The detection can be used to put constraints on the density of the object, pointing to either an unexpectedly low value of \rho = (640 \pm 330) \mbox{ kg} / \mbox{m} ^3 (68%68\% confidence interval) if we assume a typical probability distribution for the unknown albedo, or to an unusually high reflectivity of its surface. This result may have important implications both in terms of impact hazard from small objects and in light of a possible retrieval of this target.Comment: Submitted to ApJ Letter

    Regional and Racial Variation in Health Care Among Medicare Beneficiaries

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    Focuses on variations in healthcare delivery and outcomes among and within hospital service areas, in addition to racial and geographic disparities, as measured by five indicators. Discusses variations in spending and considers implications for reform

    A proposed framework for managing environmental causes and consequences of ocean traffic and ports

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    Paper presented at European Decision Sciences Institute (ED2016), 7th Annual Conference, 24th to 27th May 2016, Helsinki. Abstract The cumulative and in-combination effects of ocean shipping and port operations need addressing via a detailed, rigorous and holistic framework of risk assessment and risk management. This aims to protect the natural system while at the same time obtaining societal benefits from the seas. This paper proposes a conceptual framework that integrates both an ISO industry standard risk assessment and management framework (Bow-tie analysis) and the DAPSI(W)R(M) analysis supported by the ten-tenets criteria to provide guidance for all stakeholders, including industry and government, to address these issues. Water pollution stemming from maritime logistics and SCM are used to illustrate this framework
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