7 research outputs found

    A novel production workflow and toolset for opera co-creation towards enhanced societal inclusion of people

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    Opera uses all the visual and performing arts to create extraordinary worlds of passion and sensibility. It is rightly recognised as a great achievement of European culture. And yet a form that once inspired social and artistic revolutions is often seen as the staid preserve of the elite. With rising inequality and social exclusion, many see opera—if they think of it at all—as symbolic of what is wrong in Europe today. This paper presents the technological and scientific approach of the European H2020 TRACTION project that aims to use opera as a path for social and cultural inclusion, making it once again a force for radical transformation. TRACTION wants to define new forms of artistic creation through which the most marginalised groups (e.g. migrants, the rural poor, young offenders and others) can work with artists to tell the stories that matter now. By combining best practices in participatory art with media technology’s innovations of language, form and process, the project is defining new approaches to co-creation and innovation, exploring novel audiovisual formats based in European cultural heritage, such as opera

    Co-creation stage: A web-based tool for collaborative and participatory co-located art performances

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    In recent years, artists and communities have expressed the desire to work with tools that facilitate co-creation and allow distributed community performances. These performances can be spread over several physical stages, connecting them on real-time towards a single experience with the audience distributed along them. This enables a wider remote audience consuming the performance through their own devices, and even grants the participation of remote users in the show. In this paper we introduce the Co-creation Stage, a web-based tool that allows managing heterogeneous content sources, with a particular focus on live and on-demand media, across several distributed devices. The Co-creation Stage is part of the toolset developed in the Traction H2020 project which enables community performing art shows, where professional artists and non-professional participants perform together from different stages and locations. Here we present the design process, the architecture and the main functionaliti

    A novel production workflow and toolset for opera co-creation towards enhanced societal inclusion of people

    Get PDF
    Opera uses all the visual and performing arts to create extraordinary worlds of passion and sensibility. It is rightly recognised as a great achievement of European culture. And yet a form that once inspired social and artistic revolutions is often seen as the staid preserve of the elite. With rising inequality and social exclusion, many see opera\xe2\x80\x94if they think of it at all\xe2\x80\x94as symbolic of what is wrong in Europe today. This paper presents the technological and scientific approach of the European H2020 TRACTION project that aims to use opera as a path for social and cultural inclusion, making it once again a force for radical transformation. TRACTION wants to define new forms of artistic creation through which the most marginalised groups (e.g. migrants, the rural poor, young offenders and others) can work with artists to tell the stories that matter now. By combining best practices in participatory art with media technology\xe2\x80\x99s innovations of language, form and process, the project is defining new approaches to co-creation and innovation, exploring novel audiovisual formats based in European cultural heritage, such as opera

    C. Literaturwissenschaft.

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    Pan-cancer analysis of whole genomes

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    Comprehensive molecular characterization of mitochondrial genomes in human cancers

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    : Mitochondria are essential cellular organelles that play critical roles in cancer. Here, as part of the International Cancer Genome Consortium/The Cancer Genome Atlas Pan-Cancer Analysis of Whole Genomes Consortium, which aggregated whole-genome sequencing data from 2,658 cancers across 38 tumor types, we performed a multidimensional, integrated characterization of mitochondrial genomes and related RNA sequencing data. Our analysis presents the most definitive mutational landscape of mitochondrial genomes and identifies several hypermutated cases. Truncating mutations are markedly enriched in kidney, colorectal and thyroid cancers, suggesting oncogenic effects with the activation of signaling pathways. We find frequent somatic nuclear transfers of mitochondrial DNA, some of which disrupt therapeutic target genes. Mitochondrial copy number varies greatly within and across cancers and correlates with clinical variables. Co-expression analysis highlights the function of mitochondrial genes in oxidative phosphorylation, DNA repair and the cell cycle, and shows their connections with clinically actionable genes. Our study lays a foundation for translating mitochondrial biology into clinical applications

    Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig

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    The type and genomic context of cancer mutations depend on their causes. These causes have been characterized using signatures that represent mutation types that co-occur in the same tumours. However, it remains unclear how mutation processes change during cancer evolution due to the lack of reliable methods to reconstruct evolutionary trajectories of mutational signature activity. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole-genome sequencing data from 2658 cancers across 38 tumour types, we present TrackSig, a new method that reconstructs these trajectories using optimal, joint segmentation and deconvolution of mutation type and allele frequencies from a single tumour sample. In simulations, we find TrackSig has a 3-5% activity reconstruction error, and 12% false detection rate. It outperforms an aggressive baseline in situations with branching evolution, CNA gain, and neutral mutations. Applied to data from 2658 tumours and 38 cancer types, TrackSig permits pan-cancer insight into evolutionary changes in mutational processes
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