1,720,965 research outputs found
Diet and colorectal cancer risk: current views.
Large bowel cancer (CRC) is amongst the most common
cancers in North America, Australasia and western Europe.
The major risk factors of CRC are genetic and dietary. Evidence
regarding genetic polymorphisms which may influence
the metabolism of nutrients thought to be important
in the aetiology of CRC and colorectal adenomatous polyps
is discussed. At present, the strongest evidence of genenutrient
interaction in relation to CRC is for folate and
genetic variants associated with differences in metabolism
of folate. Significant trends of increasing CRC risk with
increasing intake emerged for total energy, bread and pasta,
cakes and desserts, and refined sugar have been observed
in recent Italian studies. Most vegetables, including pulses,
were inversely associated with CRC. Among macronutrients,
a high intake of starch and saturated fat seemed to
lead to an increased risk of cancer. High intakes of polyunsaturated
fatty acids (chiefly derived from olive oil and seed
oils) showed a marginal inverse association with CRC. In
the present paper the relation between meat consumption
and cancer risk is reviewed showing that there is little evidence
to support this relationship
Effetto della supplementazione nutrizionale con arricchimento in EPA sulla qualità della vita nella cachessia oncologica.
“Riunione monotematica SINPE, Immunonutrizione tra mito e realtà”, Palermo 11-13 Novembre 2004
[Accelerated radiotherapy with the concomitant-boost technic in patients with squamous cell carcinoma of the head and neck].
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
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
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