51 research outputs found

    A week-end off: the first extensive number-theoretical computation on the ENIAC

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    The first extensive number-theoretical computation run on the ENIAC, is reconstructed. The problem, computing the exponent of 2 modulo a prime, was set up on the ENIAC during a week-end in July 1946 by the number-theorist D.H. Lehmer, with help from his wife Emma and John Mauchly. Important aspects of the ENIAC's design are presented-and the reconstruction of the implementation of the problem on the ENIAC is discussed in its salient points

    Application of assessment metrics for an academic department faculty development program

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    Faculty development is increasingly seen as a cornerstone of career sustainability in academic medicine, pediatrics, and other disciplines. Many current senior academic medical faculty developed their careers in systems that are distinctly different from current paradigms. Multiple internal and external variables have caused the academic environment to transform. These variables include rapidly changing technology, the opening of the academy to public scrutiny, external rankings, changes in the opportunities for academic advancement (including the increasing predominance of non–tenure track faculty), sharp reductions in protected time for teaching, increased pressure to meet measurable benchmarks for academic and financial productivity, and an increased emphasis on multidisciplinary team science to more rapidly advance biomedical research. Faculty must also become adept at assessing learning outcomes, and engaging in collaborative projects that couple scholarly expertise with the local, national, or international communities. The increasing incidence of burnout and other sequelae of chronic stress among medical faculty is well documented and has led to recommendations for more formalized institutional attention to these threats to the academic medical enterprise

    Genetic diversity between mouse strains allows identification of the CC027/GeniUnc strain as an orally reactive model of peanut allergy

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    Background: Improved animal models are needed to understand the genetic and environmental factors that contribute to food allergy. Objective: We sought to assess food allergy phenotypes in a genetically diverse collection of mice. Methods: We selected 16 Collaborative Cross (CC) mouse strains, as well as the classic inbred C57BL/6J, C3H/HeJ, and BALB/cJ strains, for screening. Female mice were sensitized to peanut intragastrically with or without cholera toxin and then challenged with peanut by means of oral gavage or intraperitoneal injection and assessed for anaphylaxis. Peanut-specific immunoglobulins, T-cell cytokines, regulatory T cells, mast cells, and basophils were quantified. Results: Eleven of the 16 CC strains had allergic reactions to intraperitoneal peanut challenge, whereas only CC027/GeniUnc mice reproducibly experienced severe symptoms after oral food challenge (OFC). CC027/GeniUnc, C3H/HeJ, and C57BL/6J mice all mounted a T H 2 response against peanut, leading to production of IL-4 and IgE, but only the CC027/GeniUnc mice reacted to OFC. Orally induced anaphylaxis in CC027/GeniUnc mice was correlated with serum levels of Ara h 2 in circulation but not with allergen-specific IgE or mucosal mast cell protease 1 levels, indicating systemic allergen absorption is important for anaphylaxis through the gastrointestinal tract. Furthermore, CC027/GeniUnc, but not C3H/HeJ or BALB/cJ, mice can be sensitized in the absence of cholera toxin and react on OFC to peanut. Conclusions: We have identified and characterized CC027/GeniUnc mice as a strain that is genetically susceptible to peanut allergy and prone to severe reactions after OFC. More broadly, these findings demonstrate the untapped potential of the CC population in developing novel models for allergy research

    Representation of Events in the von Neumann Cellular Model

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