1,721,082 research outputs found

    Walking in the footsteps of the forefathers. The concept of “ancestry” between political use of molecular biology and indigenous territory, understood as a relationship between the living and the dead

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    Kichwa indigenous people of the Peruvian Amazon Forest have been facing, for several years, a territorial conflict due to the establishment of a natural park on their homelands. In order to question the legitimacy of native claims, the Regional Government puts forward the hypothesis of the Andean kichwa migration. On the other hand, several NGOs hope to help this native people, using some biomolecular investigations that “scientifically certify” its Amazonian origins and its ancestral relationship with the surrounding territories. However, the natives seem lukewarm to the uncritical acquisition of a strategic discourse based on the rhetoric of “temporal primacy”. Thus, despite having assimilated an ancestral-genetic discourse, they reshape it in light of a more relational conception of territory. The latter, far from being considered an inheritance transmitted from one generation to the other, is seen as a peculiar space of conservation and generation of memory, in which the living constantly interweave present and active relationships with the dead

    The Ethics of Investigating Cultural and Genetic Diversity of Minority Groups

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    The use of genetic information for anthropological purposes requires an effort by the researcher to deal with the ethical issues that may arise. In some cases, these can lead to rather complex relationships between anthropologists and communities. The transparency of the research protocol is a fundamental requirement in order to establish a relationship based on trust and to conduct investigations in the most ethically sustainable way. In addition, researchers must take into consideration further aspects regarding the indigenous conceptions of corporeity, memory and history. Knowledge of these characteristics can help in the interpretation of results produced by the geneticists, and constitute a series of social, political and cultural responses. By involving the communities being investigated and engaging in a frequent and fruitful dialogue with their members will make it possible for anthropologists to learn more and also provide useful answers for the populations themselves

    Classifier ensembles to improve the robustness to noise of bearing fault diagnosis

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    In this paper, we perform a noise analysis to assess the degree of robustness to noise of a neural classifier aimed at performing multi-class diagnosis of rolling element bearings. We work on vibration signals collected by means of two accelerometers and we consider ten levels of noise, each of which characterized by a different signal-to-noise ratio ranging from 40. 55 to -11. 35 db. We classify the noisy signals by means of a neural classifier initially trained on signals without noise and then we repeat the training process with signals affected by increasing levels of noise. We show that adding noisy signals to the training set we can significantly increase the classification accuracy of a single classifier. Finally, we apply the two most used strategies to combine classifiers: classifier fusion and classifier selection, and show that, in both cases, we can significantly increase the performance of the single best classifier. In particular, classifier selection achieves the best results for low and medium levels of noise, while classifier fusion is the most accurate for high levels of noise. The analysis presented in the paper can be profitably used to identify both the type of classifier (e. g., single classifier or classifier ensemble) and how many and which noise levels should be used in the training phase in order to achieve the desired classification accuracy in the application domain of interest

    Time Evolution analysis of bearing faults

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    This paper proposes a study and a method for automatic detection and diagnosis of defects of rolling element bearings. We use classification techniques (QDC and neural networks) and classifier fusion. We exploit experimental data consisting of vibration signals represented in the frequency domain by means of the Fast Fourier Transform, registered by two accelerometers. We consider one defect, namely indentation on the roll, with three different severity levels, with the data related to the lowest severity level collected in four subsequent days. We achieve high classification accuracy in all the experiments, which aim, respectively, to identify the defects as soon as they appear, to identify the defects as time passes, to train the classifier on defects collected in the first day and test it on signals collected in the following days, and, finally, to analyze how a specific defect evolves over time. In particular, by analyzing how the vibration signals of a damaged bearing evolve over time, we observe that, as time passes, the signals representing the least severe damage get more similar to those related to the same defect but with a higher severity level. This study can be profitably used to define when bearing maintenance should be performed

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    Noise assessment in the diagnosis of rolling element bearings

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    In this paper we perform a noise analysis to assess the degree of robustness to noise of a neural classifier aimed at performing multi-class diagnosis of rolling element bearings. We work on vibration signals collected by means of an accelerometer and we consider six levels of noise, each of which characterized by a different signal-to-noise ratio ranging from 40.55 db to 9.59 db. We classify the noisy signals by means of a neural classifier initially trained on signals without noise, then we repeat the training process with signals affected by increasing levels of noise. We show that adding noisy signals to the training set we manage to significantly increase the classification accuracy

    Variations on the Author

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    “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

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    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
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