84 resultados para Involuntary autobiographical memories


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MESAS is an urban intervention that promotes the relationship with everyday sound through indispensable pieces of furniture for the domestic, the professional and the playful in our lives – the table. Different uses and contexts determine the many variations in form; from dinning, to coffee tables, kitchen, garden, meeting, bar, side or game tables. The MESAS project, by artists Pedro Rebelo and Ricardo Jacinto was conceived for Rua Direita in Viseu and consists of a sequence of tables suspended throughout the street, which reveal experiences and memories through sound. The materiality, context and utility of each table articulate sonorities that include the manipulation of objects on their tops or the conversations happening around them, as well their impact on the soundscapes of the places in which they are situated. The project makes audible these particular experiences through a set of sound installations associated with places such as the jewellery, the school, or the tailor’s.

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In May 2014, the participative Project Som da Maré brings together the creative energy of a group of inhabitants from a cluster of favelas in Maré (Rio de Janeiro)* through the sonic arts. The work recalls everyday experiences, memories, stories and places. These memories elicit narratives that leave traces in space while contributing to the workings of local cultural.

The result of four months of workshops and fieldwork forms the basis of two cultural interventions: an exhibition in Museu da Maré** and guided soundwalks in the city of Rio de Janeiro. These interventions present realities, histories and ambitions of everyday life in the Maré favelas through immersive sound installation, documentary photography, text and objects.

Som da Maré brings together various groups of participants who together have developed themes, materials and strategies for the articulation of elements of everyday life in Maré. Participants include secondary level students under the Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) “Young Talent” scholarships and their families, post-graduate students at the Universidade Federal do Rio de Janeiro (UFRJ), PhD students from the Sonic Arts Research Centre (Queen’s University Belfast) and members of the Cia Marginal, a theatre company based in Maré. The project also counts with the participation of academics from music, ethnomusicology, visual art and architecture at the UFRJ and a partnership with the Museu da Maré. Over thirty people have come together to make this project possible.

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Flow processing is a fundamental element of stateful traffic classification and it has been recognized as an essential factor for delivering today’s application-aware network operations and security services. The basic function within a flow processing engine is to search and maintain a flow table, create new flow entries if no entry matches and associate each entry with flow states and actions for future queries. Network state information on a per-flow basis must be managed in an efficient way to enable Ethernet frame transmissions at 40 Gbit/s (Gbps) and 100 Gbps in the near future. This paper presents a hardware solution of flow state management for implementing large-scale flow tables on popular computer memories using DDR3 SDRAMs. Working with a dedicated flow lookup table at over 90 million lookups per second, the proposed system is able to manage 512-bit state information at run time.

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Many governments world-wide are promoting longer working life due to the social and economic repercussions of demographic change. However, not all workers are equally able to extend their employment careers. Thus, while national policies raise the overall level of labour market participation, they might create new social and labour market inequalities. This paper explores how institutional differences in the United Kingdom, Germany and Japan affect individual retirement decisions on the aggregate level, and variations in individuals’ degree of choice within and across countries. We investigate which groups of workers are disproportionately at risk of being ‘pushed’ out of employment, and how such inequalities have changed over time. We use comparable national longitudinal survey datasets focusing on the older population in England, Germany and Japan. Results point to cross-national differences in retirement transitions. Retirement transitions in Germany have occurred at an earlier age than in England and Japan. In Japan, the incidence of involuntary retirement is the lowest, reflecting an institutional context prescribing that employers provide employment until pension age, while Germany and England display substantial proportions of involuntary exits triggered by organisational-level redundancies, persistent early retirement plans or individual ill-health.

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The worsening of process variations and the consequent increased spreads in circuit performance and consumed power hinder the satisfaction of the targeted budgets and lead to yield loss. Corner based design and adoption of design guardbands might limit the yield loss. However, in many cases such methods may not be able to capture the real effects which might be way better than the predicted ones leading to increasingly pessimistic designs. The situation is even more severe in memories which consist of substantially different individual building blocks, further complicating the accurate analysis of the impact of variations at the architecture level leaving many potential issues uncovered and opportunities unexploited. In this paper, we develop a framework for capturing non-trivial statistical interactions among all the components of a memory/cache. The developed tool is able to find the optimum memory/cache configuration under various constraints allowing the designers to make the right choices early in the design cycle and consequently improve performance, energy, and especially yield. Our, results indicate that the consideration of the architectural interactions between the memory components allow to relax the pessimistic access times that are predicted by existing techniques.

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Juan Mayorga’s La Lengua en Pedazos (2010) strikes at the heart of the compositional circumstances of St Teresa's Libro de la Vida– staging, and arguably heightening the origins of her rhetorical strategies, the sense of awareness of readership and potential censure we encounter within the Libro de la Vida. His inquisitor refuses to be complicit in the tacit agreement that the word spoken in the theatrical space can conjure new realities –insistent on underscoring the textual origin of the visions painfully and partially offered up for his and our scrutiny. I will suggest that the persistent undertow towards a meta-commentary on the unmaking and remaking of the autobiographical text creates an unresolved tension between Teresa’s eloquent ability to take the spectator to a place beyond language, and our awareness that we are in the presence of a consummate performer, the textual source for the script itself produced with a supreme awareness of audience scrutiny. The play reflects ongoing lines of inquiry in our evolving understanding of the cultural production of Teresa and other holy women of the Early Modern period.

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This study introduces an inexact, but ultra-low power, computing architecture devoted to the embedded analysis of bio-signals. The platform operates at extremely low voltage supply levels to minimise energy consumption. In this scenario, the reliability of static RAM (SRAM) memories cannot be guaranteed when using conventional 6-transistor implementations. While error correction codes and dedicated SRAM implementations can ensure correct operations in this near-threshold regime, they incur in significant area and energy overheads, and should therefore be employed judiciously. Herein, the authors propose a novel scheme to design inexact computing architectures that selectively protects memory regions based on their significance, i.e. their impact on the end-to-end quality of service, as dictated by the bio-signal application characteristics. The authors illustrate their scheme on an industrial benchmark application performing the power spectrum analysis of electrocardiograms. Experimental evidence showcases that a significance-based memory protection approach leads to a small degradation in the output quality with respect to an exact implementation, while resulting in substantial energy gains, both in the memory and the processing subsystem.

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Wearable devices performing advanced bio-signal analysis algorithms are aimed to foster a revolution in healthcare provision of chronic cardiac diseases. In this context, energy efficiency is of paramount importance, as long-term monitoring must be ensured while relying on a tiny power source. Operating at a scaled supply voltage, just above the threshold voltage, effectively helps in saving substantial energy, but it makes circuits, and especially memories, more prone to errors, threatening the correct execution of algorithms. The use of error detection and correction codes may help to protect the entire memory content, however it incurs in large area and energy overheads which may not be compatible with the tight energy budgets of wearable systems. To cope with this challenge, in this paper we propose to limit the overhead of traditional schemes by selectively detecting and correcting errors only in data highly impacting the end-to-end quality of service of ultra-low power wearable electrocardiogram (ECG) devices. This partition adopts the protection of either significant words or significant bits of each data element, according to the application characteristics (statistical properties of the data in the application buffers), and its impact in determining the output. The proposed heterogeneous error protection scheme in real ECG signals allows substantial energy savings (11% in wearable devices) compared to state-of-the-art approaches, like ECC, in which the whole memory is protected against errors. At the same time, it also results in negligible output quality degradation in the evaluated power spectrum analysis application of ECG signals.

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This paper investigates processes and actions of diversifying memories of division in Northern Ireland’s political conflict known as the Troubles. Societal division is manifested in its built fabric and territories that have been adopted by predominant discourses of a fragmented society in Belfast; the unionist east and the nationalist west. The aim of the paper is to explore current approaches in planning contested spaces that have changed over time, leading to success in many cases. The argument is that divided cities, like Belfast, feature spatial images and memories of division that range from physical, clear-cut segregation to manifested actions of violence and have become influential representations in the community’s associative memory. While promoting notions of ‘re-imaging’ by current councils demonstrates a total erasure of the Troubles through cleansing its local collective memory, there yet remains an attempt to communicate a different tale of the city’s socio-economic past, to elaborate its supremacy for shaping future lived memories. Yet, planning Belfast’s contested areas is still suffering from a poor understanding of the context and its complexity against overambitious visions.