1,721,136 research outputs found
Qasim Amin y John Stuart Mill: las razones de la esclavitud femenina
Qasim Amin (1863/5-1908) was not the first Arab author in the context of contemporary Islam who wrote and campaigned for the liberation of women, but has been considered the first theorist and the antecedent par excellence in the history of the Egyptian feminist movement. The aim of this paper is to characterize the author feminism in relation to its assessment of the crisis in the Arab world. In particular, I focus on the following issues: Amin’s thesis on female slavery and the relationship between its causes and reformism of the author, according to the criteria he himself points out: freedom and common interest. To further characterize his position, I also consider Amin’s thesis in relation to some of the criticisms and proposals of Stuart Mill on the subjugation of women, one of his sources of inspiration.Qasim Amin (1863/5-1908) no fue el primer autor árabe que en el contexto del islam contemporáneo escribió y militó a favor de la liberación de las mujeres, pero ha sido considerado el primer teórico y el antecedente por excelencia del movimiento feminista egipcio. El objetivo de este artículo es caracterizar el feminismo del autor en relación a su diagnóstico sobre la crisis de mundo árabe. Me centro para ello en las siguientes cuestiones: las tesis de Amin sobre la esclavitud femenina y la articulación entre sus causas y el reformismo del autor atendiendo a los criterios que él mismo señala: la libertad y el interés común. Para caracterizar mejor su posición, considero también las tesis de Amin en relación a algunas de las críticas y propuestas de Stuart Mill sobre el sometimiento del mujer, al ser Mill una de sus fuentes de inspiración
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
A Novel Tactile Sensing System for Robotic Tactile Perception of Object Properties
Tactile sensing has become crucial in robotic applications such as
teleoperation, as it gives information about the object properties that cannot be
perceived by other senses. In fact, it is essential that robots are equipped with
advanced touch sensing in order to be aware of their surroundings and give a
feedback to an operator. Such sensing system are made of sensors and an elaboration unit that acquires tactile signals and process the data, retrieving information such as texture, hardness, and shape. In this paper, we propose a novel
tactile sensing system made of flexible, high sensitive and high spatial resolution piezoelectric polyvinylidene fluoride‐trifluoroethylene P(VDF-TrFE) sensors, and a low power and low cost Interface Electronics (IE) that can acquire
data from 32 channels simultaneously with a sampling frequency of
2kSamples/s. We validate the system acquiring data from three different objects
to classify their hardness using an artificial neural networks of one hidden layer
with approximately 89% accuracy. The signal processing and the classifier will
be hosted by the IE in the next future
Computationally Light Algorithms for Tactile Sensing Signals Elaboration and Classification
Tactile sensing systems require embedded processing to extract structured information in many application domains as prosthetics and robotics. In this regard, this paper proposes computationally light strategies to pre-process the sensor signals and extract features, feeding single layer feed-forward neural networks (SLFNNs) that proved good generalization performance keeping low the computational cost. We validate our proposal by integrating a tactile sensing system on a Baxter robot to collect and classify data from three objects of different stiffness. We compare different features extraction techniques and five SLFNNs to show the trade-off between generalization accuracy and computational cost of the whole processing unit. The results show that the processing unit that extracts the mean and standard deviation features from signals and adopts a fully connected neural network (FCNN) with 50 neurons and ReLu activation function achieves a high accuracy (94.4%) in the 3-class classification problem with a low computational cost, leading to the deployment on a resource-constrained device
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
Towards a Trade-off Between Accuracy and Computational Cost for Embedded Systems: A Tactile Sensing System for Object Classification
The deployment of the inference phase in self–standing systems, which have resource–constrained embedded units, is faced with
many challenges considering computational cost of the elaboration unit.
Therefore, we propose using a learning strategy based on a loss function that leads to finding the best configuration of the prediction model
balancing the generalization performance and the computational cost of
the whole elaboration system. We validate our proposal by integrating a
tactile sensing system on a Baxter robot to collect and classify data from
five daily–life objects using four different algorithms. Results show that
the best performance, when the computational cost is not relevant, is
achieved by the fully–connected neural network using 16 features, while,
when the computational cost matters, the loss function showed that the
kernel SVM with 4 features has the best performanc
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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