1,722,395 research outputs found
Behind the screen
No full textLarge-scale structures can probe the laws of gravity at scales that they have not yet been tested at, but these tests demand accurate modelling of complex galaxy formation processes in competing gravitational theories
The Florence Review, "Horizon / Orizzonte"
No full textGli orizzonti descritti dai racconti e dalle poesie che leggerete, secondo la formula che ci ha contraddistinti fin da subito in modo inedito in Italia (l’inglese con l’italiano a fronte) ci paiono tutti legati alle sorti dell’umano. Si presenta in essi un orizzonte personale, sia familiare che filiale (Matteucci), ma anche collettivo-sociale, con uno sguardo rivolto al passato di una nazione o di un’area geopolitica (Richterová). S’impastano poi nella visione dell’orizzonte sia privato sia collettivo il sacro e il divino con il profano e il sensuale (Renda, Carlucci). L’orizzonte può essere anche uno schermo o un miraggio: l’orizzonte di un quadro enigmatico che diventa ossessione personale (Didino), o quello tetro e oscuro ma illuminato da una promessa misteriosa di speranza (Geda). A volte lo sguardo è spinto ad affondare verso profondità geologiche (Lisa) o ad allargarsi in abbracci panoramici (Pusterla), in altri casi sembra invece quasi accecato e confinato in uno spazio di fissazioni, come quella di un’avidità estrema che cristallizza il racconto stesso nella forma di un breve apologo (Carabba)
Containment Logics: Algebraic Completeness and Axiomatization
Full text linkThe paper studies the containment companion (or, right variable inclusion companion) of a logic ⊢. This consists of the consequence relation ⊢ r which satisfies all the inferences of ⊢ , where the variables of the conclusion are contained into those of the set of premises, in case this is not inconsistent. In accordance with the work started in [10], we show that a different generalization of the Płonka sum construction, adapted from algebras to logical matrices, allows to provide a matrix-based semantics for containment logics. In particular, we provide an appropriate completeness theorem for a wide family of containment logics, and we show how to produce a complete Hilbert style axiomatization
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
Relational Bayesian Model Averaging for Sentiment Analysis in Social Networks
No full textNowadays, the exponential diffusion of information forces Machine Learning algorithms to take relations into account in addition to data, which are no longer independent. We propose a Bayesian ensemble learning methodology named Relational Bayesian Model Averaging (RBMA) which, in addition to a probabilistic ensemble voting, takes
relations into account. We tested the RBMA on a benchmark dataset for Sentiment Analysis in social networks and we compared it with its previous non-relational variant and we show that the introduction of relations significantly improves the performance of classification. Moreover, we propose a model for making predictions when new data becomes
available modifying and increasing the underneath graph of relations on which the RBMA was trained
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