885 resultados para Weisenburger, Jack


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Modified DNA strands undergo a reversible light-induced reaction involving the intramolecular photodimerization of two appended anthracene tags. The photodimers exhibit markedly different binding behavior toward a complementary strand that depends on the number of bases between the modified positions. By preforming the duplex, photochromism can be suppressed, illustrating dual-mode gated behavior.

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Article 260(2) TFEU (ex 228(2) EC) enables the European Court of Justice to enforce compliance with its judgements. This article analyses its use in doing so and questions whether it could be applied more effectively. It commences by highlighting the principally economic and environmental context of the case-law, and by examining the initiatives taken to tackle delays in bringing these cases before the Court. The article then critically evaluates the effectiveness of the financial sanctions available to the Court. In doing so, it aims to fill a gap in present research by looking beyond the procedural measures through which the Court and the Commission operate to examine the practical impact of Article 260(2) itself.

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This article concerns the legal issues that surround the prohibition of doping in sport. The current policy on the use of performance enhancing drugs (PEDs) in sport is underpinned by both a paternalistic desire to protect athletes’ health and the long-term integrity or ‘spirit’ of sport. The policy is put into administrative effect globally by the World Anti-Doping Agency (WADA), which provides the regulatory and legal framework through which the vast majority of international sports federations harmonise their anti-doping programmes. On outlining briefly both the broad administrative structures of international sport’s various anti-doping mechanisms, and specific legal issues that arise in disciplinary hearings involving athletes accused of doping, this article questions the sustainability of the current ‘zero tolerance’ approach, arguing, by way of analogy to the wider societal debate on the criminalisation of drugs, and as informed by Sunstein and Thaler’s theory of libertarian paternalism, that current policy on anti-doping has failed. Moreover, rather than the extant moral and punitive panic regarding doping in sport, this article, drawing respectively on Seddon’s and Simon’s work on the history of drugs and crime control mentality, contends that, as an alternative, harm reductionist measures should be promoted, including consideration of the medically supervised use of certain PEDs.

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Microbial ecology is currently undergoing a revolution, with repercussions spreading throughout microbiology, ecology and ecosystem science. The rapid accumulation of molecular data is uncovering vast diversity, abundant uncultivated microbial groups and novel microbial functions. This accumulation of data requires the application of theory to provide organization, structure, mechanistic insight and, ultimately, predictive power that is of practical value, but the application of theory in microbial ecology is currently very limited. Here we argue that the full potential of the ongoing revolution will not be realized if research is not directed and driven by theory, and that the generality of established ecological theory must be tested using microbial systems.

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Motivated by the need to solve ecological problems (climate change, habitat fragmentation and biological invasions), there has been increasing interest in species distribution models (SDMs). Predictions from these models inform conservation policy, invasive species management and disease-control measures. However, predictions are subject to uncertainty, the degree and source of which is often unrecognized. Here, we review the SDM literature in the context of uncertainty, focusing on three main classes of SDM: niche-based models, demographic models and process-based models. We identify sources of uncertainty for each class and discuss how uncertainty can be minimized or included in the modelling process to give realistic measures of confidence around predictions. Because this has typically not been performed, we conclude that uncertainty in SDMs has often been underestimated and a false precision assigned to predictions of geographical distribution. We identify areas where development of new statistical tools will improve predictions from distribution models, notably the development of hierarchical models that link different types of distribution model and their attendant uncertainties across spatial scales. Finally, we discuss the need to develop more defensible methods for assessing predictive performance, quantifying model goodness-of-fit and for assessing the significance of model covariates.