127,674 research outputs found

    In Meat We Trust: An Unexpected History of Carnivore America

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    Review of: "In Meat We Trust: An Unexpected History of Carnivore America" by Wilson J. Warren

    In Meat We Trust: An Unexpected History of Carnivore America

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    Review of: "In Meat We Trust: An Unexpected History of Carnivore America" by Wilson J. Warren

    Struggling With "Iowa\u27s Pride": Labor Relations, Unionism, and Politics in the Rural Midwest Since 1877

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    Review of: Struggling with "Iowa\u27s Pride": Labor Relations, Unionism, and Politics in the Rural Midwest since 1877. Warren, Wilson J

    Struggling With "Iowa\u27s Pride": Labor Relations, Unionism, and Politics in the Rural Midwest Since 1877

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    Review of: Struggling with "Iowa\u27s Pride": Labor Relations, Unionism, and Politics in the Rural Midwest since 1877. Warren, Wilson J

    Embracing complexity: theory, cases and the future of bioethics

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    This paper reflects on the relationship between theory and practice in bioethics, by using various concepts drawn from debates on innovation in healthcare research—in particular debates around how best to connect up blue skies ‘basic’ research with practical innovations that can improve human lives. It argues that it is a mistake to assume that the most difficult and important questions in bioethics are the most abstract ones, and also a mistake to assume that getting clear about abstract cases will automatically be of much help in getting clear about more complex cases. It replaces this implicitly linear model with a more complex one that draws on the idea of translational research in healthcare. On the translational model, there is a continuum of cases from the most simple and abstract (thought experiments) to the most concrete and complex (real world cases). Insights need to travel in both directions along this continuum—from the more abstract to the more concrete and from the more concrete to the more abstract. The paper maps out some difficulties in moving from simpler to more complex cases, and in doing so makes recommendations about the future of bioethics

    Decision-making with gaussian processes: sampling strategies and monte carlo methods

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    We study Gaussian processes and their application to decision-making in the real world. We begin by reviewing the foundations of Bayesian decision theory and show how these ideas give rise to methods such as Bayesian optimization. We investigate practical techniques for carrying out these strategies, with an emphasis on estimating and maximizing acquisition functions. Finally, we introduce pathwise approaches to conditioning Gaussian processes and demonstrate key benefits for representing random variables in this manner.Open Acces

    Could There be a Right to Own Intellectual Property?

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    Intellectual property typically involves claims of ownership of types, rather than particulars. In this article I argue that this difference in ontology makes an important moral difference. In particular I argue that there cannot be an intrinsic moral right to own intellectual property. I begin by establishing a necessary condition for the justification of intrinsic moral rights claims, which I call the Rights Justification Principle. Briefly, this holds that if we want to claim that there is an intrinsic moral right to phi, we must be able to show that (a) violating this right would typically result in either a wrongful harm or other significant wrong to the holder of the right, and (b) the wrongful harm or other wrong in question is independent of the existence of the intrinsic right we are trying to justify. I then argue that merely creating a new instance of a type is not the kind of action which can wrongfully harm the creator of that type. Insofar as there do seem to be wrongs involved in copying a published poem or computer program, these wrongs presuppose the existence of an intrinsic right to own intellectual property, and so cannot be used to justify it. I conclude that there cannot be an intrinsic right to own intellectual property

    Maternal movements to part time employment: what is the penalty?

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    In Britain, part time employment is typically used to combine work and motherhood: 60% of employed mothers in Britain work part time, and this usually involves a transition from full time employment around the first childbirth. Part time jobs are often situated in lower level occupational groups and so a transition from full to part time employment may reduce the wage. Using the British Household Panel Survey this study investigates the wage impact of switching from full to part time employment. Furthermore, mother-specific wage impacts of re-entering employment after childbirth via part time employment are analysed. A mother of one child receives a pay penalty of 7%, switching to part time employment increases this to 15%. Mothers who move from full to part time employment over childbirth receive lower wages than mothers who remained in full or part time employment over childbirth for 10 years after the birth

    Efficiency of Research Performance of Australian Universities: A Reappraisal using a Bootstrap Truncated Regression Approach

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    The motivation of the study stems from the results reported in the Excellence in Research for Australia (ERA) 2010 report. The report showed that only 12 universities performed research at or above international standards, of which, the Group of Eight (G8) universities filled the top eight spots. While performance of universities was based on number of research outputs, total amount of research income and other quantitative indicators, the measure of efficiency or productivity was not considered. The objectives of paper are twofold. First, to provide a review of the research performance of 37 Australian universities using the data envelopment analysis (DEA) bootstrap approach of Simar and Wilson (J Econ, 136:31–64, 2007). Second, to determine sources of productivity drivers by regressing the efficiency scores against a set of environmental variables.Data envelopment analysis, efficiency, universities, bootstrap truncated regression, environmental variables.
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