13 research outputs found
Domaine musical et poésie sonore
La poésie, dans les années cinquante, ça n’allait pas fort ! D’ultimes flammèches surréalisantes n’en finissaient pas de s’éteindre. Il en était de même pour les derniers poèmes de la Résistance, récemment sortis de leur clandestinité. L’école de Rochefort, toute rurale, sévissait. Seul émergeait alors de cette grisaille Henri Pichette, disparu depuis. Dada, encore occulté, ne relevait que du mythe, ne devant émerger du fin fond de ses oubliettes, enfin, que dix ans plus tard. Le lettrisme se..
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Recording of Bernard Heidsieck's Passe-Partout n°4. This is a work for electronics that includes French spoken word and radio sound materials
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Recording of Bernard Heidsieck's Tu viens chéri(e). The composer recorded 5 men and 5 women saying the sentence "Tu viens, chéri(e)" 150 times in a row and then combined this recording with mixed tape. The tape is stereo, with the women at the beginning on one track and the men on another, until all voices are together on both tracks. The entire piece represents a verbal orgasm with an unexpected phenomenon of more panic in each voice than of tenderness
Leading Questions towards Building a Digital Cockpit for Circularity in the Healthcare Industry
International audienceTransitioning from a linear economy to a circular economy (CE) in healthcare is essential forreducing human-induced environmental impacts and promoting sustainability. However, thisshift is challenged by a lack of standardization in circular procedures. This article identifieskey elements and challenges to implementing CE in complex industrial environments, withthe use case of medical systems. These entail complex devices, such as MagneticResonance Imaging systems or Computed Tomography scanners. While CE principles haveemerged in the medical industry, they must be improved and optimized especially in repair,maintenance and reuse processes, to support the decarbonization of healthcare. In theindustrial case study, this is illustrated by the implementation of opportunistic maintenancefor a spare part supply chain, or the use of a PSS-like (product-service system) model. In thiscontext, literature is studied by focusing on three axes: (1) academic articles, (2)sustainability standards and frameworks for industrials, and (3) grey literature in a healthcarecase study. This article aims to answer the following question: What are the main identifiablechallenges to a circular economy in the medical system value chain, looking at a complexindustrial environment case study? To better implement and evaluate CE in an industrialsetting, companies need to reevaluate their business models and follow the 4.0 digitaltechnology wave by augmenting or redesigning their ecosystems, facilitating the computationof circularity indicators. These metrics could provide more visibility and traceability onmaterial flows, notably open & closed loop recycling, product returns, waste managementand packaging loops. Additional constraints to achieve CE can be pinpointed by studyingexisting sustainability standards and policies on European or international levels. The resultsof the research identify twelve leading questions tackling CE reporting and evaluation, thedigitalization of industrial ecosystems, and the identification of the initial steps to develop aCircular Digital Cockpit (CDC). Hence, four research themes are identified: (1) updatingindustrial paradigms for CE, (2) defining means for transitioning from LE to CE, (3) studyingthe status of CE in the healthcare industry, and (4) developing a CDC. The identifiedquestions will guide ensued research and potentially discern gaps and hotspots forevaluating and monitoring CE practices, to ultimately create a comprehensive multi-facetedplatform. Such a tool would bring decision aid to all steps in the medical device value chain,from product design to its end-of-life. Looking at the industrial use case, a preliminaryframework to design this platform is proposed, with four structuring and interlinked pillars:robust data definition, circularity metrics, analytics & optimization, and models & simulation