1,720,955 research outputs found
The terracotta fungi of Francesco Valenti Serini (1795-1872)
On the first day of my sabbatical leave at the University of Siena in 2014, I wandered into the Accademia dei Fisiocritici, the natural history museum attached to my professional home for the next three months. The second display room that I entered contained the most spectacular collection of life-sized terracotta models of fungal fruiting bodies that I had ever seen. This exhibition was composed of a diverse collection of fruiting bodies of poisonous, ectomycorrhizal, edible, and saprotrophic fungi found in Tuscany. The importance of this collection would only slowly reveal itself to me in what I came to think of as the Italian way. The collection is both beautiful artistically and important scientifically. The collection (Fig. 1) of Dr. Francesco Valenti Serini is generally unknown outside of Tuscany and through this publication we hope to remedy this situation. What follows is the story of a medical doctor, botanist, mycologist, and artist in the 1800s in Italy and his life's endeavor to educate his fellow Tuscans in how to distinguish between poisonous and edible fungi. Valenti Serini was a Renaissance man but was limited by the science and technology of his day. The authors do not intend what is presented herein to be used as guide to distinguish between poisonous and edible fungi but rather to describe the history of Valenti Serini's work
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Mycocoenological studies in some Mediterranean forest ecosystems (province of Siena, Italy).
In the last 20 years, the scientific community has shown increasing interest in questions related to biodiversity. Knowledge of biodiversity is a prerequisite for mapping the distribution of species and for the conservation of the organisms populating ecosystems. Here we report the results of mycocoenological research in various types of forest ecosystems (evergreen oak woods of the hill and coastal belts, hill and montane chestnut woods, natural and artificial fir woods, acidophilous and basophilous deciduous oak woods) in central-southern Tuscany, Italy. This research provides a fairly complete picture of the fungal communities of these ecosystems, as well as the similarities and differences between them. The identification of exclusive differential species of each type of forest community provides information about the ecology of the different fungal species.Durant ces vingt dernières années, la communauté scientifique a montré un intérêt croissant au sujet des études concernant la biodiversité. La connaissance de la biodiversité est un préalable indispensable pour dresser une carte de la distribution des espèces et pour la conservation des organismes qui peuplent les écosystèmes. Les auteurs reportent les résultats de recherches mycocoenologiques dans plusieurs écosystèmes forestiers (chênaies sempervirentes de collines ou en situation côtière, châtaigneraies de colline et de montagne, sapinières naturelles et artificielles, chênaies caduques acidophiles et basiphiles) en Toscane centrale et du sud. Ce travail décrit de manière assez exhaustive les communautés fongiques des écosystèmes considérés ainsi que leurs ressemblances et différences. L’identification d’espèces différentielles exclusives de chaque type de communauté forestière permet de documenter l’écologie des diverses espèces de champignons.Laganà Angela, Salerni Elena, Barluzzi Carla, Perini Claudia. Mycocoenological studies in some Mediterranean forest ecosystems (province of Siena, Italy). In: Ecologia mediterranea, tome 27,2001. pp. 125-140
Variations on the Author
“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
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
Dispelling the Myths Behind First-author Citation Counts
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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