120 research outputs found

    Physician Trading Cards as a Tool to Improve Resident Joy in Medicine while Improving Patient Satisfaction

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    Introduction: To combat resident physician burnout, wellness programming should include approaches that foster joy to work as a physician. Photograph trading cards have been used to improve patient satisfaction but have not been explored as a way to improve physician work satisfaction. We aimed to use trading cards to improve resident physician identification by patients’ families, as well as measure their effect on the hospital experience for patients and residents. Methods: For a one-month period in 2019, trading cards were piloted with the nine residents assigned to the inpatient pediatrics service. Employing five-point Likert scales, surveys were administered to residents and convenience samples of 100 patients’ families before and after card distribution. Results: Compared to families prior, those given trading cards reported increased perceived importance of physician identification and a greater association with care satisfaction. Families’ ability to identify treating physicians increased from 5% to 66% with card distribution (p Conclusion: Trading cards can be used as a tool to improve resident physician work satisfaction and joy in medicine, while also improving the hospital experience for patients and families

    Kapsula

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    This issue was produced in collaboration with the Art History Graduate Student Association (AHGSA) at York University in Toronto, Canada. The selected papers and projects were originally presented as a symposium, Fail Again, Fake Better, on the 14th of March, 2014 at the Joan & Martin Goldfarb Centre for Fine Arts in Toronto

    Kapsula

    Get PDF
    This issue was produced in collaboration with the Art History Graduate Student Association (AHGSA) at York University in Toronto, Canada. The selected papers and projects were originally presented as a symposium, Fail Again, Fake Better, on the 14th of March, 2014 at the Joan & Martin Goldfarb Centre for Fine Arts in Toronto

    Super-heavy fermion material as metallic refrigerant for adiabatic demagnetization cooling

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    Low-temperature refrigeration is of crucial importance in fundamental research of condensed matter physics, as the investigations of fascinating quantum phenomena, such as superconductivity, superfluidity and quantum criticality, often require refrigeration down to very low temperatures. Currently, cryogenic refrigerators with 3^3He gas are widely used for cooling below 1 Kelvin. However, usage of the gas is being increasingly difficult due to the current world-wide shortage. Therefore, it is important to consider alternative methods of refrigeration. Here, we show that a new type of refrigerant, super-heavy electron metal, YbCo2_2Zn20_{20}, can be used for adiabatic demagnetization refrigeration, which does not require 3He gas. A number of advantages includes much better metallic thermal conductivity compared to the conventional insulating refrigerants. We also demonstrate that the cooling performance is optimized in Yb1−x_{1-x}Scx_xCo2_2Zn20_{20} by partial Sc substitution with x∌x\sim0.19. The substitution induces chemical pressure which drives the materials close to a zero-field quantum critical point. This leads to an additional enhancement of the magnetocaloric effect in low fields and low temperatures enabling final temperatures well below 100 mK. Such performance has up to now been restricted to insulators. Since nearly a century the same principle of using local magnetic moments has been applied for adiabatic demagnetization cooling. This study opens new possibilities of using itinerant magnetic moments for the cryogen-free refrigeration

    A flexible dependence model for spatial extremes

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    Max-stable processes play a fundamental role in modeling the spatial dependence of extremes because they appear as a natural extension of multivariate extreme value distributions. In practice, a well-known restrictive assumption when using max-stable processes comes from the fact that the observed extremal dependence is assumed to be related to a particular max-stable dependence structure. As a consequence, the latter is imposed to all events which are more extreme than those that have been observed. Such an assumption is inappropriate in the case of asymptotic independence. Following recent advances in the literature, we exploit a max-mixture model to suggest a general spatial model which ensures extremal dependence at small distances, possible independence at large distances and asymptotic independence at intermediate distances. Parametric inference is carried out using a pairwise composite likelihood approach. Finally we apply our modeling framework to analyze daily precipitations over the East of Australia, using block maxima over the observation period and exceedances over a large threshold. (C) 2015 Elsevier B.V. All rights reserved
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