1,720,986 research outputs found
International trade regulation and food safety: the case of Italian imports of fruit and vegetables from Southern Mediterranean Countries
The paper focuses on the implications entailed by the current EU food safety regulation on Italian firms importing fresh fruit and vegetables from Southern Mediterranean Countries. Its specific objectives are to identify the main benefits and difficulties of compliance with food safety regulation perceived by domestic operators and to provide recommendations on suitable policy intervention tools. The study was developed in three steps. Firstly, we provided an overall assessment of the compliance capacity of fruit and vegetables imported from Southern Mediterranean Countries, by means of secondary data gathered from the European Food Security Agency and the Italian Ministry of Health. Secondly, we formulated a set of research hypotheses on the main factors affecting compliance capacity according to the relevant scientific literature. Thirdly, based on these hypotheses, we carried out a direct survey on key players involved in fruit and vegetable imports in Italy, using a Delphi approach
Between innovation, sustainability and convenience, which affect mostly the choices for seafood? A survey with participants from Croatia
Hopfield model with planted patterns: a teacher-student self-supervised learning model
While Hopfield networks are known as paradigmatic models for memory storage
and retrieval, modern artificial intelligence systems mainly stand on the
machine learning paradigm. We show that it is possible to formulate a
teacher-student self-supervised learning problem with Boltzmann machines in
terms of a suitable generalization of the Hopfield model with structured
patterns, where the spin variables are the machine weights and patterns
correspond to the training set's examples. We analyze the learning performance
by studying the phase diagram in terms of the training set size, the dataset
noise and the inference temperature (i.e. the weight regularization). With a
small but informative dataset the machine can learn by memorization. With a
noisy dataset, an extensive number of examples above a critical threshold is
needed. In this regime the memory storage limits of the system becomes an
opportunity for the occurrence of a learning regime in which the system can
generalize.Comment: 27 pages, 5 figures, typo in the free energy correcte
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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