946 resultados para Scientific papers


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Vols. 1-2 are 2d edition, 1844.

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Reprints from various medical and scientific periodicals.

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Includes discussions but not papers presented. Papers were published separately under title: An appraisal of present scientific information concerning periodontal disease, [1952]

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Mode of access: Internet.

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Reprinted from different scientific serials

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Metformin may play in important role in the future in helping to prevent the development of diabetes: it is a strong candidate therapy for delaying the onset of the disease and potentially as part of a treatment programme to correct features of the metabolic syndrome. This book celebrates 50 years of research into metformin and its use in the treatment of diabetes. Metformin is still the drug of choice for managing patients with type 2 diabetes and all new drugs are tested in comparison with this, the gold standard. Comprising seven sections, addressing different aspects of research on metformin and its applications, this book is edited by a world class team of expert diabetologists and beautifully presented in two colour throughout. It also includes a bibliography of all papers published on metformin and a complete list of all authors on those papers.

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It is important to help researchers find valuable papers from a large literature collection. To this end, many graph-based ranking algorithms have been proposed. However, most of these algorithms suffer from the problem of ranking bias. Ranking bias hurts the usefulness of a ranking algorithm because it returns a ranking list with an undesirable time distribution. This paper is a focused study on how to alleviate ranking bias by leveraging the heterogeneous network structure of the literature collection. We propose a new graph-based ranking algorithm, MutualRank, that integrates mutual reinforcement relationships among networks of papers, researchers, and venues to achieve a more synthetic, accurate, and less-biased ranking than previous methods. MutualRank provides a unified model that involves both intra- and inter-network information for ranking papers, researchers, and venues simultaneously. We use the ACL Anthology Network as the benchmark data set and construct the gold standard from computer linguistics course websites of well-known universities and two well-known textbooks. The experimental results show that MutualRank greatly outperforms the state-of-the-art competitors, including PageRank, HITS, CoRank, Future Rank, and P-Rank, in ranking papers in both improving ranking effectiveness and alleviating ranking bias. Rankings of researchers and venues by MutualRank are also quite reasonable.

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In recent decades, spillover has become a highly influential concept which has led to the initiation of new theoretical and methodological approaches that are designed to understand how people attempt to reconcile their work and private lives. The very notion of spillover presupposes that these spheres are connected, since the people who move between them bring certain ‘less visible’ content with them such as cognitive or affective mental constructs, skills, behaviors, etc. This paper attempts to create fresh insight into the different areas, themes and methodologies related to how spillover has been addressed over the last ten years. Four main categories are discussed based on the 76 academic articles that were selected: (1) general spillover research, (2) job flexibility and spillover, (3) individual coping strategies, and (4) the spillover effect on the different genders. The final section of the paper provides a tentative synthesis of the main conclusions and findings from the examined papers.

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Tese de Doutoramento, Biologia (Ciências do Mar), 5 de Julho de 2013, Universidade dos Açores.

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This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Gender differences in collaborative research have received little at- tention when compared with the growing importance that women hold in academia and research. Unsurprisingly, most of bibliomet- ric databases have a strong lack of directly available information by gender. Although empirical-based network approaches are often used in the study of research collaboration, the studies about the influence of gender dissimilarities on the resulting topological outcomes are still scarce. Here, networks of scientific subjects are used to characterize patterns that might be associated to five categories of authorships which were built based on gender. We find enough evidence that gen- der imbalance in scientific authorships brings a peculiar trait to the networks induced from papers published in Web of Science (WoS) in- dexed journals of Economics over the period 2010-2015 and having at least one author affiliated to a Portuguese institution. Our re- sults show the emergence of a specific pattern when the network of co-occurring subjects is induced from a set of papers exclusively au- thored by men. Such a male-exclusive authorship condition is found to be the solely responsible for the emergence that particular shape in the network structure. This peculiar trait might facilitate future network analyses of research collaboration and interdisciplinarity.