4,879 research outputs found

    Extended schools subsidy pathfinder evaluation : interim report

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    Magnetic trapping of buffer-gas cooled chromium atoms and prospects for the extension to paramagnetic molecules

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    We report the successful buffer-gas cooling and magnetic trapping of chromium atoms with densities exceeding 101210^{12} atoms per cm3^{3} at a temperature of 350 mK for the trapped sample. The possibilities to extend the method to buffer-gas cool and magnetically trap molecules are discussed. To minimize the most important loss mechanism in magnetic trapping, molecules with a small spin-spin interaction and a large rotational constant are preferred. Both the CrH (6Σ+^6\Sigma^+ ground state) and MnH (7Σ+^7\Sigma^+) radicals appear to be suitable systems for future experiments.Comment: 9 pages, 4 Figure

    Generalization bias in science

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    Many scientists routinely generalize from study samples to larger populations. It is commonly assumed that this cognitive process of scientific induction is a voluntary inference in which researchers assess the generalizability of their data and then draw conclusions accordingly. We challenge this view and argue for a novel account. The account describes scientific induction as involving by default a generalization bias that operates automatically and frequently leads researchers to unintentionally generalize their findings without sufficient evidence. The result is unwarranted, overgeneralized conclusions. We support this account of scientific induction by integrating a range of disparate findings from across the cognitive sciences that have until now not been connected to research on the nature of scientific induction. The view that scientific induction involves by default a generalization bias calls for a revision of the current thinking about scientific induction and highlights an overlooked cause of the replication crisis in the sciences. Commonly proposed interventions to tackle scientific overgeneralizations that may feed into this crisis need to be supplemented with cognitive debiasing strategies against generalization bias to most effectively improve science

    The UN Sustainable Development Goals as innovation drivers for local sustainability governance? Examples from Germany

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    Local governments are highly relevant for the just-starting socio-ecological transformation. Living up to this role requires new or adapted forms of governance. The German case provides a vivid example of how the UN Sustainable Development Goals (SDGs) provide a useful framework for this transformation. In our policy-oriented contribution, we focus on the question whether the SDGs themselves are innovation drivers in local sustainability governance. We motivate this idea with the theoretical framework of public sector innovation and provide comprehensive examples of the most prevalent current approaches to SDG-related innovations at the German local government level, covering local government sustainability reporting, strategies, budgets, and financing. Our central finding is that a small group of early-innovating German local governments has already begun to govern sustainability with the help of SDG-driven innovations and that this became possible because of publicly funded support projects and accessible pre-defined localised SDGs

    09341 Abstracts Collection -- Cognition, Control and Learning for Robot Manipulation in Human Environments

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    From 16.08. to 21.08.2009, the Dagstuhl Seminar 09341 ``Cognition, Control and Learning for Robot Manipulation in Human Environments \u27\u27 was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available

    Viral infections and asthma: An inflammatory interface?

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    © 2014 ERS. Asthma is a chronic inflammatory disease of the airways in which the majority of patients respond to treatment with corticosteroids and β2-adrenoceptor agonists. Acute exacerbations of asthma substantially contribute to disease morbidity, mortality and healthcare costs, and are not restricted to patients who are not compliant with their treatment regimens. Given that respiratory viral infections are the principal cause of asthma exacerbations, this review article will explore the relationship between viral infections and asthma, and will put forward hypotheses as to why virus-induced exacerbations occur. Potential mechanisms that may explain why current therapeutics do not fully inhibit virus-induced exacerbations, for example, β2-adrenergic desensitisation and corticosteroid insensitivity, are explored, as well as which aspects of virus-induced inflammation are likely to be attenuated by current therapy
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