43 research outputs found

    The emergence of modern statistics in agricultural science : Analysis of variance, experimental design and the reshaping of research at Rothamsted Experimental Station, 1919–1933

    Get PDF
    During the twentieth century statistical methods have transformed research in the experimental and social sciences. Qualitative evidence has largely been replaced by quantitative results and the tools of statistical inference have helped foster a new ideal of objectivity in scientific knowledge. The paper will investigate this transformation by considering the genesis of analysis of variance and experimental design, statistical methods nowadays taught in every elementary course of statistics for the experimental and social sciences. These methods were developed by the mathematician and geneticist R. A. Fisher during the 1920s, while he was working at Rothamsted Experimental Station, where agricultural research was in turn reshaped by Fisher’s methods. Analysis of variance and experimental design required new practices and instruments in field and laboratory research, and imposed a redistribution of expertise among statisticians, experimental scientists and the farm staff. On the other hand the use of statistical methods in agricultural science called for a systematization of information management and made computing an activity integral to the experimental research done at Rothamsted, permanently integrating the statisticians’ tools and expertise into the station research programme. Fisher’s statistical methods did not remain confined within agricultural research and by the end of the 1950s they had come to stay in psychology, sociology, education, chemistry, medicine, engineering, economics, quality control, just to mention a few of the disciplines which adopted them

    Treatment of COVID-19 with remdesivir in the absence of humoral immunity: a case report

    Get PDF
    Abstract: The response to the coronavirus disease 2019 (COVID-19) pandemic has been hampered by lack of an effective severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antiviral therapy. Here we report the use of remdesivir in a patient with COVID-19 and the prototypic genetic antibody deficiency X-linked agammaglobulinaemia (XLA). Despite evidence of complement activation and a robust T cell response, the patient developed persistent SARS-CoV-2 pneumonitis, without progressing to multi-organ involvement. This unusual clinical course is consistent with a contribution of antibodies to both viral clearance and progression to severe disease. In the absence of these confounders, we take an experimental medicine approach to examine the in vivo utility of remdesivir. Over two independent courses of treatment, we observe a temporally correlated clinical and virological response, leading to clinical resolution and viral clearance, with no evidence of acquired drug resistance. We therefore provide evidence for the antiviral efficacy of remdesivir in vivo, and its potential benefit in selected patients

    Toward a Critical Race Realism

    Full text link

    Design? Yes! But Is It Intelligent?

    No full text
    Autor porusza różne tematy związane z teorią inteligentnego projektu. Przedmiotem jego rozważań są: naukowa wartość teorii inteligentnego projektu; rozróżnienie naturalizmu metafizycznego od naturalizmu metodologicznego oraz jego rola w praktyce naukowej i znaczenie dla wierzących naukowców; relacja między nauką a religią na przykładzie zasady NOMA, której twórcą jest Stephen Jay Gould; oraz zagadnienie nauczania nauk przyrodniczych - na przykład, czy dopuszczać, by na lekcjach przyrody dyskutowano także koncepcje kreacjonistyczne.Author takes into account various themes concerning intelligent design theory. The subject of his considerations are: scientific value of intelligent design theory; distinction between metaphysical and methodological naturalism and its role in the scientific practice as well as its meaning for the scientists who believes in God; relationship between science and religion on the example of NOMA (Non-Overlapping MAgisteria) principle which was formulated by Stephen Jay Gould; and finally the issue of teaching science – for example, whether also creationist concepts should be discussed in science classes

    Scientific supernaturalism

    No full text
    corecore