1,721,308 research outputs found
Probabilistic risk assessment of abalone Haliotis diversicolor supertexta exposed to waterborne zinc
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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 linkWe 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
Li zi wu li zhuan ti: 1) Zai gao liang du LHC zhong de W H --> lvbb de ling min du ji 2) di biao yu zhou she xian yan jiu
No full textKwok, Ka Hei Martin = 粒子物理專題 : 1) 在高亮度LHC中的W H --> lvbb的靈敏度及2) 地表宇宙射線研究 / 郭家希.Thesis M.Phil. Chinese University of Hong Kong 2014.Abstracts also in Chinese.Title from PDF title page (viewed on 20, December, 2016).Kwok, Ka Hei Martin = Li zi wu li zhuan ti : 1) Zai gao liang du LHC zhong de W H --> lvbb de ling min du ji 2) di biao yu zhou she xian yan jiu / Guo Jiaxi
Appraising zinc bioaccumulation in abalone Haliotis diversicolor supertexta and alga Gracilaria tenuistipitata var. liui by probabilistic analysis
No full textDispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
Accurate identification of thirteen fly species from three families using wing venation patterns with machine learning approaches / Ling Min Hao
No full textThe ease and the affordability of image data acquisition have made whole-image analysis an attractive analytical approach in biological research. Coupled with machine learning, whole-image analysis has the potential to complement or even supplant traditional morphometric approaches for species identification in medical, veterinary, and forensic entomology. Here, I used a substantially expanded dataset (n = 759; 13 species and a species variant; 3 families) to consolidate findings from a pilot study (n = 74; 15 species; 2 families) for automated species identification of fly species based on their wing venation patterns, using classical Krawtchouk moment invariants coupled with a random forest model. To leverage on state-on-the-art methods on image analysis, I conducted a comparative analysis using ResNet, a deep learning model. Five-fold cross validation results show impressive mean identification accuracies of 98.56 ± 0.38% and 99.60 ± 0.27% at the family level, and 91.04 ± 1.33% and 97.87 ± 1.01% at the species level, for the classical and deep learning approaches, respectively. Additionally, the mean F1- scores of 0.89 ± 0.02 and 0.97 ± 0.01 respectively indicate a good balance of precision and recall for both models. Importantly, the regions on the fly wings that are used by ResNet for species identification were successfully visualised using Grad-CAM heatmaps, thus facilitating the interpretation of putative biological bases of identifications using ResNet. In summary, this study demonstrates the extent to which species differences in the studied dipteran species can be expressed in wing morphology, both quantitatively and qualitatively, through image data. Specifically, the findings from interpretable deep learning are potentially useful for generating hypotheses about putative wing anatomies that hold taxonomic value
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