53 research outputs found
Multi-level Predictive with Training Framework (MP with TF) for ranking machine learning algorithms
A survey of privacy-preserving mechanisms for heterogeneous data types
Due to the pervasiveness of always connected devices, large amounts of heterogeneous data are continuously being collected. Beyond the benefits that accrue for the users, there are private and sensitive information that is exposed. Therefore, Privacy-Preserving Mechanisms (PPMs) are crucial to protect users’ privacy. In this paper, we perform a thorough study of the state of the art on the following topics: heterogeneous data types, PPMs, and tools for privacy protection. Building from the achieved knowledge, we propose a privacy taxonomy that establishes a relation between different types of data and suitable PPMs for the characteristics of those data types. Moreover, we perform a systematic analysis of solutions for privacy protection, by presenting and comparing privacy tools. From the performed analysis, we identify open challenges and future directions, namely, in the development of novel PPMs
Detective fiction in Cuban society and culture.
PhDThe object of this thesis is to reach towards an understanding of Cuban society through a
study of its detective fiction and more particularly contemporary Cuban society through
the novels of the author and critic, Leonardo Padura Fuentes.
The method has been to trace the development of Cuban detective writing and to
read Padura Fuentes in the light of the work of twentieth century Western European
literary critics and philosophers including Raymond Williams, Antonio Gramsci, Terry
Eagleton, Roland Barthes, Jean Paul Sartre, Michel Foucault, Jean François Lyotard and
Jean Baudrillard in order to gain a better understanding of the social and historical
context from which this genre emerged.
By concentrating on the literary texts, I have explored readings which lead out into
an analysis of the broader philosophical, political and historical issues raised by the
Cuban revolution. Since it deals primarily with modes of deviance and notions of legality
and justice within the context of the modern state, detective fiction is particularly well
suited to this type of investigation. The intention is to show how this is as valid in the
Cuban context as it is in advanced capitalist societies where such research has already
been carried out with some success.
The thesis comprises an introduction, ten chapters and a conclusion. The chapters
are divided into three sections. Chapters 1 to 3 attempt a broad theoretical, historical and
socio-political analysis of the cultural reality within which the Cuban revolutionary
detective genre emerged. Chapters 4 to 6 analyse the Cuban detective narrative from its
inception in the early part of the twentieth century until the emergence of Leonardo
Padura Fuentes as the foremost exponent of the genre in Cuba after 1991. Chapters 7-
10 concentrate upon the work of Leonardo Padura Fuentes, offering a reading of his
detective tetralogy informed by the preceding discussion.
The contribution made by the thesis to knowledge of the subject is to build upon the
work of Seymour Menton and Amelia S. Simpson on the development of the Cuban
detective novel and to provide analyses of the pre-Revolutionary Cuban detective
narrative and the work of Leonardo Padura Fuentes for the first time in the English
language. The thesis concludes that the study of this popular genre in Cuba is of crucial
importance to the scholar who wishes to reach as full an understanding of the social
dynamics within that society as possible. In particular, it proves that Cuban detective
fiction provides a useful barometer of social change which records the shifts in the Cuban
Zeitgeist that have taken place over the past century
P3 Block: Privacy Preserved, Trusted Smart Parking Allotment for Future Vehicles of Tomorrow
Author Correction: A multi-country test of brief reappraisal interventions on emotions during the COVID-19 pandemic.
Correction to: Nature Human Behaviour https://doi.org/10.1038/s41562-021-01173-x, published online 2 August 2021.In the version of this article initially published, the following authors were omitted from the author list and the Author contributionssection for “investigation” and “writing and editing”: Nandor Hajdu (Institute of Psychology, ELTE Eötvös Loránd University, Budapest,Hungary), Jordane Boudesseul (Facultad de Psicología, Instituto de Investigación Científica, Universidad de Lima, Lima, Perú), RafałMuda (Faculty of Economics, Maria Curie-Sklodowska University, Lublin, Poland) and Sandersan Onie (Black Dog Institute, UNSWSydney, Sydney, Australia & Emotional Health for All Foundation, Jakarta, Indonesia). In addition, Saeideh FatahModares’ name wasoriginally misspelled as Saiedeh FatahModarres in the author list. Further, affiliations have been corrected for Maria Terskova (NationalResearch University Higher School of Economics, Moscow, Russia), Susana Ruiz Fernandez (FOM University of Applied Sciences,Essen; Leibniz-Institut fur Wissensmedien, Tubingen, and LEAD Research Network, Eberhard Karls University, Tubingen, Germany),Hendrik Godbersen (FOM University of Applied Sciences, Essen, Germany), Gulnaz Anjum (Department of Psychology, Simon FraserUniversity, Burnaby, Canada, and Department of Economics & Social Sciences, Institute of Business Administration, Karachi, Pakistan).<br/
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