1,126 research outputs found

    The M Word: Accusations of Malingering are Harmful to Patient Care

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    It starts as a small seed of doubt. It can be planted by anyone: the physician, the nurse, a family member, or even the patient. But once the seed gets planted in the minds of those involved in caring for the patient, every word and action from the patient function as water and sunshine, encouraging the seed to grow. The seed of doubt grows into a small tree of criticism which blooms into a collection of judgment and prejudice that prevent the patient from receiving the care that he or she deserves. All of this can happen after a patient is accused of malingering

    Symbolic metaprogram search improves learning efficiency and explains rule learning in humans

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    Throughout their lives, humans seem to learn a variety of rules for things like applying category labels, following procedures, and explaining causal relationships. These rules are often algorithmically rich but are nonetheless acquired with minimal data and computation. Symbolic models based on program learning successfully explain rule-learning in many domains, but performance degrades quickly as program complexity increases. It remains unclear how to scale symbolic rule-learning methods to model human performance in challenging domains. Here we show that symbolic search over the space of metaprogramsā€”programs that revise programsā€”dramatically improves learning efficiency. On a behavioral benchmark of 100 algorithmically rich rules, this approach fits human learning more accurately than alternative models while also using orders of magnitude less search. The computation required to match median human performance is consistent with conservative estimates of human thinking time. Our results suggest that metaprogram-like representations may help human learners to efficiently acquire rules

    Usage of query-based health information exchange after event notifications

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    ABSTRACT Objectives: This study sought to quantify the association between event notifications and subsequent querybased health information exchange (HIE) use among end users of three different community health information organizations. Materials and Methods: Using system-log data merged with user characteristics, regression-adjusted estimates were used to describe the association between event notifications and subsequent query-based HIE usage. Results: Approximately 5% of event notifications were associated with query-based HIE usage within 30 days. In adjusted models, odds of query-based HIE usage following an event notification were higher for older patients and for alerts triggered by a discharge event. Query-based HIE usage was more common among specialty clinics and Federally Qualified Health Centers than primary care organizations. Discussion and Conclusion: In this novel combination of data, 1 in 20 event notifications resulted in subsequent query-based HIE usage. Results from this study suggest that event notifications and query-based HIE can be applied together to address clinical and population health use cases

    Statistical criteria for characterizing irradiance time series.

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    We propose and examine several statistical criteria for characterizing time series of solar irradiance. Time series of irradiance are used in analyses that seek to quantify the performance of photovoltaic (PV) power systems over time. Time series of irradiance are either measured or are simulated using models. Simulations of irradiance are often calibrated to or generated from statistics for observed irradiance and simulations are validated by comparing the simulation output to the observed irradiance. Criteria used in this comparison should derive from the context of the analyses in which the simulated irradiance is to be used. We examine three statistics that characterize time series and their use as criteria for comparing time series. We demonstrate these statistics using observed irradiance data recorded in August 2007 in Las Vegas, Nevada, and in June 2009 in Albuquerque, New Mexico

    The Dark Matter Distributions in Low-mass Disk Galaxies. II. The Inner Density Profiles

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    Dark-matter-only simulations predict that dark matter halos have steep, cuspy inner density profiles, while observations of dwarf galaxies find a range of inner slopes that are often much shallower. There is debate whether this discrepancy can be explained by baryonic feedback or if it may require modified dark matter models. In Paper I of this series, we obtained high-resolution integral field HĪ± observations for 26 dwarf galaxies with M* = 10^(8.1)āˆ’10^(9.7) M_āŠ™. We derived rotation curves from our observations, which we use here to construct mass models. We model the total mass distribution as the sum of a generalized Navarroā€“Frenkā€“White (NFW) dark matter halo and the stellar and gaseous components. Our analysis of the slope of the dark matter density profile focuses on the inner 300ā€“800 pc, chosen based on the resolution of our data and the region resolved by modern hydrodynamical simulations. The inner slope measured using ionized and molecular gas tracers is consistent, and it is additionally robust to the choice of stellar mass-to-light ratio. We find a range of dark matter profiles, including both cored and cuspy slopes, with an average of Ļ}_(DM ~ r^(-0.74 Ā± 0.07), shallower than the NFW profile, but steeper than those typically observed for lower-mass galaxies with M* ~ 10^(7.5) M_āŠ™. Simulations that reproduce the observed slopes in those lower-mass galaxies also produce slopes that are too shallow for galaxies in our mass range. We therefore conclude that supernova feedback models do not yet provide a fully satisfactory explanation for the observed trend in dark matter slopes

    Type II Supernovae as Probes of Cosmology

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    - Constraining the cosmological parameters and understanding Dark Energy have tremendous implications for the nature of the Universe and its physical laws. - The pervasive limit of systematic uncertainties reached by cosmography based on Cepheids and Type Ia supernovae (SNe Ia) warrants a search for complementary approaches. - Type II SNe have been shown to offer such a path. Their distances can be well constrained by luminosity-based or geometric methods. Competing, complementary, and concerted efforts are underway, to explore and exploit those objects that are extremely well matched to next generation facilities. Spectroscopic follow-up will be enabled by space- based and 20-40 meter class telescopes. - Some systematic uncertainties of Type II SNe, such as reddening by dust and metallicity effects, are bound to be different from those of SNe Ia. Their stellar progenitors are known, promising better leverage on cosmic evolution. In addition, their rate - which closely tracks the ongoing star formation rate - is expected to rise significantly with look- back time, ensuring an adequate supply of distant examples. - These data will competitively constrain the dark energy equation of state, allow the determination of the Hubble constant to 5%, and promote our understanding of the processes involved in the last dramatic phases of massive stellar evolution.Comment: Science white paper, submitted to the Decadal committee Astro201

    Organizational characteristics and perceptions of clinical event notification services in healthcare settings: a study of health information exchange

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    Objective: Event notification systems are an approach to health information exchange (HIE) that notifies end-users of patient interactions with the healthcare system through real-time automated alerts. We examined associations between organizational capabilities and perceptions of event notification system use. Materials and methods: We surveyed representatives (n = 196) from healthcare organizations (n = 96) that subscribed to 1 of 3 Health Information Organizations' event notification services in New York City (response rate = 27%). The survey was conducted in Fall 2017 and Winter 2018. Surveys measured respondent characteristics, perceived organizational capabilities, event notification use, care coordination, and care quality. Exploratory factor analysis was used to identify relevant independent and dependent variables. We examined the relationship between organizational capabilities, care coordination, and care quality using multilevel linear regression models with random effects. Results: Respondents indicated that the majority of their organizations provided follow-up care for emergency department visits (66%) and hospital admissions (73%). Perceptions of care coordination were an estimated 57.5% (Ī² = 0.575; P < 0.001) higher among respondents who reported event notifications fit within their organization's existing workflows. Perceptions of care quality were 46.5% (Ī² = 0.465; P < 0.001) higher among respondents who indicated event notifications fit within existing workflows and 23.8% (Ī² = 0.238; P < 0.01) higher where respondents reported having supportive policies and procedures for timely response and coordination of event notifications. Discussion and conclusion: Healthcare organizations with specific workflow processes and positive perceptions of fit are more likely to use event notification services to improve care coordination and care quality. In addition, event notification capacity and patient consent procedures influence how end-users perceive event notification services

    Improved Standardization of Type II-P Supernovae: Application to an Expanded Sample

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    In the epoch of precise and accurate cosmology, cross-confirmation using a variety of cosmographic methods is paramount to circumvent systematic uncertainties. Owing to progenitor histories and explosion physics differing from those of Type Ia SNe (SNe Ia), Type II-plateau supernovae (SNe II-P) are unlikely to be affected by evolution in the same way. Based on a new analysis of 17 SNe II-P, and on an improved methodology, we find that SNe II-P are good standardizable candles, almost comparable to SNe Ia. We derive a tight Hubble diagram with a dispersion of 10% in distance, using the simple correlation between luminosity and photospheric velocity introduced by Hamuy & Pinto 2002. We show that the descendent method of Nugent et al. 2006 can be further simplified and that the correction for dust extinction has low statistical impact. We find that our SN sample favors, on average, a very steep dust law with total to selective extinction R_V<2. Such an extinction law has been recently inferred for many SNe Ia. Our results indicate that a distance measurement can be obtained with a single spectrum of a SN II-P during the plateau phase combined with sparse photometric measurements.Comment: ApJ accepted version. Minor change

    Sub-diffractional, volume-confined polaritons in a natural hyperbolic material: hexagonal boron nitride

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    Strongly anisotropic media where the principal components of the dielectric tensor have opposite signs are called hyperbolic. Such materials length exhibit unique nanophotonic properties enabled by the highly directional propagation of slow-light modes localized at deeply sub-diffractional scales. While artificial hyperbolic metamaterials have been demonstrated, they suffer from high plasmonic losses and require complex nanofabrication, which in turn induces the size-dependent limitations on optical confinement. The low-loss, mid-infrared, natural hyperbolic material, hexagonal boron nitride is an attractive alternative. We observe four series of multiple (up to seven) 'hyperbolic polariton' modes in boron nitride nanocones in two spectral bands. The resonant modes obey the predicted aspect ratio dependence and exhibit record-high quality factors (Q up to 283) in the strong confinement regime (lambda/86 in the smallest structures). These observations assert hexagonal boron nitride as a promising platform for studying novel regimes of light-matter interactions and nanophotonic device engineering

    Momentum asymmetries as CP violating observables

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    Three body decays can exhibit CP violation that arises from interfering diagrams with different orderings of the final state particles. We construct several momentum asymmetry observables that are accessible in a hadron collider environment where some of the final state particles are not reconstructed and not all the kinematic information can be extracted. We discuss the complications that arise from the different possible production mechanisms of the decaying particle. Examples involving heavy neutralino decays in supersymmetric theories and heavy Majorana neutrino decays in Type-I seesaw models are examined.Comment: 20 pages, 9 figures. Clarifying comments and one reference added, matches published versio
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