1,721,030 research outputs found
Introduzione
No full textL'Introduzione contestualizza il Convegno i cui Atti sono pubblicati nel volume nell'ambito delle attività del Gruppo di ricerca Fra repubblica e principato, coordinatori R. Cristofoli, A. Galimberti, F. Rohr Vio; giustifica inoltre la scelta di un nuovo momento di riflessione su Germanico in occasione del bimillenario dalla morte, per rievocarne la figura e il carisma, ma, come recita il titolo stesso dato al Convegno, anche la memoria: ciò sottende la convinzione secondo cui il personaggio non mancò di esercitare un influsso determinante sulle dinamiche politiche dell’alto Principato e sui meccanismi di costruzione di immagini e programmi.Il contributo costituisce una breve riflessione sulla figura di Germanico e sulla sua rilevanza nella storia romana di età imperiale
Demography and breeding biology of a small localized population of southern elephant seals (Mirounga leonina)
No full textSocio-spatial levels in linearity analysis of dominance hierarchies: a case study on elephant seals.
No full textApplication of chemometric methods and QSAR models to support pesticide risk assessment starting from ecotoxicological datasets
No full textThe EFSA ‘Guidance on tiered risk assessment for edge-of-field surface waters’ underscores the importance of in silico models to support the pesticide risk assessment. The aim of this work was to use in silico models starting from an available, structured and harmonized pesticide dataset that was developed for different purposes, in order to stimulate the use of QSAR models for risk assessment. The present work focuses on the development of a set of in silico models, developed to predict the aquatic toxicity of heterogeneous pesticides with incomplete/unknown toxic behavior in the water compartment. The generated models have good fitting performances (R2: 0.75–0.99), they are internally robust (Q2loo: 0.66–0.98) and can handle up to 30% of perturbation of the training set (Q2 lmo: 0.64–0.98). The absence of chance correlation was guaranteed by low values of R2 calculated on scrambled responses (R2 Yscr: 0.11–0.38). Different statistical parameters were used to quantify the external predictivity of the models (CCCext: 0.73–0.91, Q2 ext-Fn: 0.53–0.96). The results indicate that all the best models are predictive when applied to chemicals not involved in the models development. In addition, all models have similar accuracy both in fitting and in prediction and this represents a good degree of generalization. These models may be useful to support the risk assessment procedure when experimental data for key species are missing or to create prioritization lists for the general a priori assessment of the potential toxicity of existing and new pesticides which fall in the applicability domain
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
Dispelling 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
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