1,721,016 research outputs found
A return to cinema d'impegno? Cinematic engagements with organized crime in Italy, 1950-2010
This thesis seeks to interrogate the mutual relationship between representations of
organized crime and commitment in Italian film (cinema d’impegno). Since the
Second World War, images of bandits, mafiosi and criminal rackets have been
central to some of the most important political films released, including In nome
della legge (Pietro Germi, 1949), Salvatore Giuliano (Francesco Rosi, 1961) and
A ciascuno il suo (Elio Petri, 1967). The ‘mafia film’ in Italy thus has a rich
heritage of powerfully engaged cinema that remains a far cry from its glamourized
international counterpart. Yet this ‘filone’, like cinema d’impegno widely, has
suffered from the endemic political apathy that accompanied advance of
postmodernity.
Drawing on recent scholarship on postmodern impegno, as well as on some of the
most important contemporary mafia films that have led critics to announce a
‘return’ to this heritage of engaged cinema, this thesis will interrogate the image
of organized crime today and its problematic mimicry of this past. It will employ
a historically comparative approach, beginning with an analysis of the important
waves of committed cinema in the post-War years. It then turns to the social role
of the cinema since the 1990s, when, despite the disintegration of political ‘grand
narratives’, the constant renewal of the trauma of organized crime has continued
to produce boldly political cinematic denunciations.
A secondary aim of the thesis is to bring into question the very notion of impegno.
As the discourses that are analysed in the first half show, the Marxist core of
many of the political mafia films has led to a narrow understanding of the
organized crime imagery. Building on Marxist theorists, from Lukács to Jameson,
and extending a better critical appreciation of the spectator, this discussion seeks
to bring into focus the importance of genre cinema in the dialectical creation of a
political mafia image
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
Radiation Dose Optimization. The Role of Artificial Intelligence
Artificial intelligence (AI) is an emerging technique impact- ing the world we live in, including medical imaging. Its current massive popularity hinges on three intertwined pillars: big data availability, constant increase of computational power, and algorithms. Among its various tasks, imaging denoising is the one holding the highest expectations for CT radiation dose optimization. AI is a generic term indicating a science that mimics cognitive human functions, aiming at performing tasks that are typical of human intelligence. Machine learning (ML) is a subset of AI in which algorithms build their own training data, requiring no explicit program- ming. Feature learning is a subset of machine learning in which the algorithm automatically selects the features useful to detect and classify data. Lastly, deep learning (DL) is a subset of representation whose architecture is formed by the composition of multiple-level mathematical equations, known as deep neural networks (DNNs), based on the demands of the specific task that must be accomplished in order to achieve what ML does.
Despite continuous technical advancements, CT radiation dose and the potential risk of induced carcinogenesis are still a matter of concern in terms of public health, both in the scien- tific community and in the lay press. In addition to the implementation of decision guidelines and the education of radiology personnel, referring clinicians, and patients, CT scanning parameters such as tube voltage and tube cur- rent modulation, prospective ECG gating in cardiac CTA (CCTA), and high-pitch acquisition protocols are determinant factors in radiation dose optimization. Among the CT technical parameters, image reconstruction plays a funda- mental role in the final image quality and, consequently, in the management of radiation exposure
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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