40 research outputs found

    Pleasure and historical memory in Spanish Gothic film

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    This essay argues that scholars of Spanish culture are too ready to assume a reading of Gothic texts in terms of historical memory, or the rectification of injustices that occurred during the Franco era. It suggests that there has been a neglect of the question of the pleasures of reading or viewing the Gothic, even though these pleasures may well undermine the desire to do retrospective justice to the victims of Franco. Using as a case study the film Insensibles (Juan Carlos Medina 2012) this essay proposes some examples of pleasures that serve to disrupt the recuperation of historical memory, and calls for better awareness of the pleasures of genre in analysing relevant texts

    Emerging trends in reassessing translation, conflict, and memory

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    New Approaches on Translation, Conflict, and Memory: Narratives of the Spanish Civil War and the Dictatorship is a collection of essays that endeavours to establish a new dialogue between translation, conflict, and memory studies. Focusing on cultural representations of the Spanish Civil War and the Franco Dictatorship, it explores the significance and the effect of translation within Spain and beyond. Drawing on fictional and non-fictional texts, reports from war zones, and audiovisual productions, the contributors to this volume examine the scope of translation in transmitting the conflict and the dictatorship from a contemporary perspective. Narratives produced during and after the Civil War and the dictatorship both in Spain and abroad have led to new debates arising from the reassessment of a conflict that continues to resonate

    Incremental Decision Rules Algorithm: A Probabilistic and Dynamic Approach to Decisional Data Stream Problems

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    Data science is currently one of the most promising fields used to support the decision-making process. Particularly, data streams can give these supportive systems an updated base of knowledge that allows experts to make decisions with updated models. Incremental Decision Rules Algorithm (IDRA) proposes a new incremental decision-rule method based on the classical ID3 approach to generating and updating a rule set. This algorithm is a novel approach designed to fit a Decision Support System (DSS) whose motivation is to give accurate responses in an affordable time for a decision situation. This work includes several experiments that compare IDRA with the classical static but optimized ID3 (CREA) and the adaptive method VFDR. A battery of scenarios with different error types and rates are proposed to compare these three algorithms. IDRA improves the accuracies of VFDR and CREA in most common cases for the simulated data streams used in this work. In particular, the proposed technique has proven to perform better in those scenarios with no error, low noise, or high-impact concept drifts.This work was supported by grant DIN2018-010101 funded by MCIN/AEI/10.13039/501100011033, Teralco Solutions Ltd, and PROMETEO2021/063 funded by the Generalitat Valenciana. Open Access funding provided by Miguel Hernández University of Elche

    Southward re‐distribution of tropical tuna fisheries activity can be explained by technological and management change

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    There is broad evidence of climate change causing shifts in fish distribution worldwide, but less is known about the response of fisheries to these changes. Responses to climate‐driven shifts in a fishery may be constrained by existing management or institutional arrangements and technological settings. In order to understand how fisheries are responding to ocean warming, we investigate purse seine fleets targeting tropical tunas in the east Atlantic Ocean using effort and sea surface temperature anomaly (SSTA) data from 1991 to 2017. An analysis of the spatial change in effort using a centre of gravity approach and empirical orthogonal functions is used to assess the spatiotemporal changes in effort anomalies and investigate links to SSTA. Both analyses indicate that effort shifts southward from the equator, while no clear pattern is seen northward from the equator. Random forest models show that while technology and institutional settings better explain total effort, SSTA is playing a role when explaining the spatiotemporal changes of effort, together with management and international agreements. These results show the potential of management to minimize the impacts of climate change on fisheries activity. Our results provide guidance for improved understanding about how climate, management and governance interact in tropical tuna fisheries, with methods that are replicable and transferable. Future actions should take into account all these elements in order to plan successful adaptation.Ministerio de Economía y Competitividad|Ref. MDM-2017-0714Eusko Jaurlaritza|Ref. BERC 2018-202
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