2 resultados para STEPWISE

em Nottingham eTheses


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Background: The publication of articles in peer-reviewed scientific journals is a fairly complex and stepwise process that involves responding to referees’ comments. Little guidance is available in the biomedical literature on how to deal with such comments. Objective: The objective of this article is to provide guidance to novice writers on dealing with peer review comments in a way that maximizes the chance of subsequent acceptance. Methods: This will be a literature review and review of the author’s experience as a writer and referee. Results: Where possible, the author should consider revising and resubmitting rather than sending an article elsewhere. A structured layout for responding to referees’ comments is suggested that includes the 3 golden rules: (1) respond completely; (2) respond politely; and (3) respond with evidence. Conclusion: Responding to referees’ comments requires the writer to overcome any feelings of personal attack, and to instead concentrate on addressing referees’ concerns in a courteous, objective, and evidencebased way. (J Am Acad Dermatol 2004;51:79-83.)

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This paper is concerned with an analysis of the Becker-Döring equations which lie at the heart of a number of descriptions of non-equilibrium phase transitions and related complex dynamical processes. The Becker-Döring theory describes growth and fragmentation in terms of stepwise addition or removal of single particles to or from clusters of similar particles and has been applied to a wide range of problems of physicochemical and biological interest within recent years. Here we consider the case where the aggregation and fragmentation rates depend exponentially on cluster size. These choices of rate coefficients at least qualitatively correspond to physically realistic molecular clustering scenarios such as occur in, for example, simulations of simple fluids. New similarity solutions for the constant monomer Becker-Döring system are identified, and shown to be generic in the case of aggregation and fragmentation rates that depend exponentially on cluster size.