309,374 research outputs found

    Mus fragilicauda Auffray 2003

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    566. Sheath-tailed Mouse Mus fragilicauda French: Souris a queue fragile / German: Laos-Maus / Spanish: Raton de cola fragil Other common names: Fragile-tailed Mouse Taxonomy. Mus fragilicauda Auffray et al., 2003, Ban Nong Sanga, Wang Nam Yen District, Nahkon Ratchasima (Korat) Prov- ince, south-central Thailand. Recently described, this species belongs to the Mus molecular clade and the sub- genus Mus. In 2003, it was found to be molecularly close to M. spretus, M. muscu- lus, and M. cervicolor by J. C. Auffray and colleagues, who also performed a geo- metric morphometric analysis of the skull morphology and the cytotypes, showing its clear distinction from other species. It was included in the “ M. booduga clade” by T. Shimada and colleagues in 2010, and found close to M. booduga, M. nitidulus, and M. cervicolor. Monotypic. Distribution. Known from scattered localities in NC & SC Thailand and SE Laos. Descriptive notes. Head-body 66-70 mm, tail 56-67 mm, ear 10-12 mm, hindfoot 12-15 mm; weight 9-15 g. The Sheath-tailed Mouse is distinguished by its aptitude to lose its tail integument naturally or when handled. It is very similar to the Fawncolored Mouse (M. cervicolor) but its fur is softer, thinner, and looser, giving the pelage a velvety appearance. It presents nearly identical body and tail sizes, a short and slightly bicolored tail, and body coloration of brown above and brownish gray below; it has a long nose as compared to that of the Ryukyu Mouse (M. caroli). Chromosomal complementis 2n = 40. 797 Habitat. Dried rice grass fields and pygmy bamboo patches. Food and Feeding. No information. Breeding. No information. Activity patterns. Sheath-tailed Mice are terrestrial and nocturnal. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Least Concern on The IUCN Red List. Bibliography. Auffray et al. (2003), Francis (2008), Shimada et al. (2010).Published as part of Don E. Wilson, Russell A. Mittermeier & Thomas E. Lacher, Jr, 2017, Muridae, pp. 536-884 in Handbook of the Mammals of the World – Volume 7 Rodents II, Barcelona :Lynx Edicions on page 797, DOI: 10.5281/zenodo.688726

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author, publisher and bookseller : a tripartite synergy in Nigerian book industry

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    This work is about the roles of Author, Publisher and Bookseller in Book development in Nigeria. The paper started by delving into the history of Book Publishing in Nigeria after which it proceeded by defining who an author, a publisher, and a bookseller is and expatiated on the indispensable roles of these key actors in Nigerian Book Industry and in the emerging Information Society. Furthermore, the various constraints to book development were identified while the paper advised on how the Book Industry can be further promoted in Nigeria. However, the paper concluded and made recommendations on how the Book sector can help in enhancing scholarship in the country

    [Report to Chief J. E. Curry, by an unknown author #2]

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    Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney

    [Report to Chief J. E. Curry, by an unknown author #1]

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    Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney

    Mining e-mail content for author identification forensics

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    We describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation
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