1,720,959 research outputs found
Anna and her sisters: Anna Magnani as an icon in Italy, France and Argentina
No full textThis article aims to examine some of the peculiarities of Anna Magnani as an icon and to situate it in a trans-national dimension, mainly focusing on its reception in France and Argentina. In particular, I will highlight the traits connecting the figure of Magnani with those of Édith Piaf and Tita Merello, who in the post-war period display traits similar to those of the Italian actress. Through the comparative analysis of film frames, songs, articles and photographs taken from the press, I will identify some features common to these three icons who dominated the star system immediately after the war. I will show how these figures invented a new form of female diva and an anti-spectacular stardom which moved within an autonomous and eccentric environment when compared to contemporary film production
Artificial neural network for tilting pad journal bearing characterization
Full text linkTilting pad journal bearings (TPJBs) are modeled with Reynold-based models or computational fluid dynamics (CFD) approach. In both cases, the estimation of the dynamic coefficients of the oil-film forces and the static characteristic, can be computationally expensive and time consuming. Artificial Intelligence (AI) is assuming a key role in engineering but is rarely applied in fluid film bearing analysis. A properly trained Deep Learning (DL) model can perform very fast predictions of TPJB behavior with accuracy comparable to more time-consuming
models. In this case, the main drawback is the time required to build the training dataset. In this work, an Artificial Neural Network (ANN) is trained to predict the dynamic stiffness and damping coefficients along with the main static quantities of TPJBs, such as minimum oil-film thickness and inlet flowrate. At first, a design of experiment is performed to build an appropriate training dataset. Secondly, a Reynolds-based thermo-hydrodynamic
(THD) model is used to populate the training dataset and an appropriate test dataset. Then, a feedforward ANN is trained with Levenberg–Marquardt backpropagation and its architecture is optimized to increase accuracy. Finally, the accuracy of the ANN is tested using the test dataset and experimental data. The time and computational effort required by the ANN regression are much less than those required by the THD model.
Therefore, the trained ANN is an effective and efficient tool for the characterization of TPJBs
Squeeze Film Damper Modeling: A Comprehensive Approach
Full text linkSqueeze film dampers (SFDs) are components used in many industrial applications, ranging
from turbochargers to jet engines. SFDs are applied when the vibration levels or some instability
threatens the safe operation of the machine. However, modeling these components is difficult and
somewhat counterintuitive due to the multiple complex phenomena involved. After a thorough
investigation of the state of the art, the most relevant phenomena for the characterization of the SFDs
are highlighted. Among them, oil film cavitation, air ingestion, and inertia are investigated and
modeled. The paper then introduces a numerical model based on the Reynolds equation, discretized
with the finite difference method. Different boundary conditions for oil feeding and discharging are
implemented and investigated. The model is validated by means of experimental results available in
the literature, whereas different designs and configurations of the feeding and sealing system are
considered. Eventually, an example of the application of a SFD to a compressor rotor for the reduction
of vibration and correction of the instability is proposed. The paper provides an insight regarding the
critical aspects of modeling SFDs, underscoring the limits of the numerical model, and suggesting
where to further develop and improve the modeling
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
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