1,721,317 research outputs found

    A new species of Zingiber (Zingiberaceae) from Northeast India

    No full text
    Kumar, Ramesh, Mood, John, Singh, Sushil K., Sinha, B.K. (2013): A new species of Zingiber (Zingiberaceae) from Northeast India. Phytotaxa 77 (4): 61-64, DOI: 10.11646/phytotaxa.77.4.2, URL: https://www.mendeley.com/catalogue/f3ed38f5-eea4-32d5-8e28-56cd33826442

    FIGURE 2 in A new species of Zingiber (Zingiberaceae) from Northeast India

    No full text
    FIGURE 2. Zingiber rubens. (Photo credit: J. Mood).Published as part of Kumar, Ramesh, Mood, John, Singh, Sushil K. & Sinha, B.K., 2013, A new species of Zingiber (Zingiberaceae) from Northeast India, pp. 61-64 in Phytotaxa 77 (4) on page 63, DOI: 10.11646/phytotaxa.77.4.2, http://zenodo.org/record/506684

    FIGURE 1. Zingiber meghalayense. A. Single plant. B. A in A new species of Zingiber (Zingiberaceae) from Northeast India

    No full text
    FIGURE 1. Zingiber meghalayense. A. Single plant. B. A portion of plant with rhizome and inflorescence. C. A part of inflorescence with single flower. D. A leaf. E. Ligule. F. Bract. G. Bracteole. H. Calyx. I. Dorsal lobe. J. Lateral lobes. K. Labellum. L. Stamen. M. Stigma. N. Cross section of ovary. O. Fruits. (Photo credit: S. K. Singh & Ramesh Kumar).Published as part of Kumar, Ramesh, Mood, John, Singh, Sushil K. & Sinha, B.K., 2013, A new species of Zingiber (Zingiberaceae) from Northeast India, pp. 61-64 in Phytotaxa 77 (4) on page 62, DOI: 10.11646/phytotaxa.77.4.2, http://zenodo.org/record/506684

    Prevalence and factors associated with underweight children: a population-based subnational analysis from Pakistan

    No full text
    Objectives This study aims to determine the prevalence of and factors associated with underweight children under the age of 5 in Punjab, Pakistan. Design We analysed cross-sectional household-level subnationally representative Multiple Indicator Cluster Survey. Settings Punjab province, Pakistan. Participants 24 042 children under 5 years of age. Data analysis Multilevel multivariate logistic regression analysis. Results Prevalence of moderately and severely underweight children was found to be (33.3% and 11.3%, respectively). Multivariate multilevel logistic regression results show that as the child grows older the likelihood of the child being underweight increases significantly (eg, children between 12 and 23 months are one and half times more likely to be underweight, whereas children between the ages of 36 and 47 months are two and a half times more likely to be underweight). Gender was found to be another significant factor contributing to underweight prevalence among children under the age of 5. The likelihood of a girl child being underweight is more than that of a boy child being underweight (OR 0.92, 95% CI 0.8 to 1.0). Similarly, a child whose birth order is three or more is two times more likely to be underweight (OR 1.96, 95% CI 1.5 to 2.5) relative to a child of a lower birth order. Moreover, diarrhoea also significantly increases the likelihood of the child being underweight (OR 1.31, 95% CI 1.1 to 1.5). Child size is another determinant for underweight prevalence among children under 5, for example, a child with a size smaller than average at the time of birth is 2.7 times more likely to be moderately underweight than a child with an average or larger than average size at the time of birth. Conclusion Rigorous community-based interventions should be developed and executed throughout the province to improve this grave situation of underweight prevalence in Punjab. Mother’s education should be uplifted by providing them formal education and providing awareness about the importance of proper nutrition for children

    Going Beyond Counting First Authors in Author Co-citation Analysis

    Full text link
    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

    Variations on the Author

    Full text link
    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

    Full text link
    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    A comparison of farming practices and performance for wheat production in Haryana, India

    No full text
    Available online: 15 May 2015Abstract not availableD.R. Coventry, R.S. Poswal, Ashok Yadav, Amritbir Singh Riar, Yi Zhou, Anuj Kumar, Ramesh Chand, R.S. Chhokar, R.K. Sharma, V.K. Yadav, R.K. Gupta, Anil Mehta, J.A. Cummin

    Dispelling the Myths Behind First-author Citation Counts

    Full text link
    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
    corecore