481 research outputs found

    Regular expressions as violin bowing patterns

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    String players spend a significant amount of practice time creating and learning bowings. These may be indicated in the music using up-bow and down-bow symbols, but those traditional notations do not capture the complex bowing patterns that are latent within the music. Regular expressions, a mathematical notation for a simple class of formal languages, can describe precisely the bowing patterns that commonly arise in string music. A software tool based on regular expressions enables performers to search for passages that can be handled with similar bowings, and to edit them consistently. A computer-based music editor incorporating bowing patterns has been implemented, using Lilypond to typeset the music. Our approach has been evaluated by using the editor to study ten movements from six violin sonatas by W. A. Mozart. Our experience shows that the editor is successful at finding passages and inserting bowings; that relatively complex patterns occur a number of times; and that the bowings can be inserted automatically and consistently

    A pervasive approach to a real-time intelligent decision support system in intensive medicine

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    The decision on the most appropriate procedure to provide to the patients the best healthcare possible is a critical and complex task in Intensive Care Units (ICU). Clinical Decision Support Systems (CDSS) should deal with huge amounts of data and online monitoring, analyzing numerous parameters and providing outputs in a short real-time. Although the advances attained in this area of knowledge new challenges should be taken into account in future CDSS developments, principally in ICUs environments. The next generation of CDSS will be pervasive and ubiquitous providing the doctors with the appropriate services and information in order to support decisions regardless the time or the local where they are. Consequently new requirements arise namely the privacy of data and the security in data access. This paper will present a pervasive perspective of the decision making process in the context of INTCare system, an intelligent decision support system for intensive medicine. Three scenarios are explored using data mining models continuously assessed and optimized. Some preliminary results are depicted and discussed.Fundação para a Ciência e a Tecnologia (FCT

    Contributing to the creative economy imaginary: universities and the creative sector

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    © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. This paper explores the relationship between the creative economy and universities. As funders, educators and research bodies, universities have a complicated relationship with the creative economy. They propagate its practice, ‘buying-in’ to the rhetoric and models of creative value, particularly in teaching, research and knowledge exchange. Third mission activities also play a role, seeking to affect change in the world ‘outside’ academia through collaboration, partnerships, commercialisation and social action. For arts and humanities disciplines, these practices have focused almost exclusively on the creative sector in recent years. This paper asks how the third mission has been a site where universities have modified their function in relation to the creative economy. It considers the mechanisms by which universities have been complicit in propagating the notion of the creative economy, strengthening particular constructions of the idea at the level of policy and everyday practice. It also briefly asks how a focus on alternative academic practice and institutional forms might offer possibilities for developing a more critical creative economy. The argument made is that the university sector is an important agent in the shaping and performance of the creative economy, and that we should take action if we wish to produce a more diverse, equitable space for learning, researching, and being under the auspices of ‘creativity’

    A CRISPR Dropout Screen Identifies Genetic Vulnerabilities and Therapeutic Targets in Acute Myeloid Leukemia

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    Acute myeloid leukemia (AML) is an aggressive cancer with a poor prognosis, for which mainstream treatments have not changed for decades. To identify additional therapeutic targets in AML, we optimize a genome-wide clustered regularly interspaced short palindromic repeats (CRISPR) screening platform and use it to identify genetic vulnerabilities in AML cells. We identify 492 AML-specific cell-essential genes, including several established therapeutic targets such as DOT1L\textit{DOT1L}, BCL2\textit{BCL2}, and MEN1\textit{MEN1}, and many other genes including clinically actionable candidates. We validate selected genes using genetic and pharmacological inhibition, and chose KAT2A\textit{KAT2A} as a candidate for downstream study. KAT2A\textit{KAT2A} inhibition demonstrated anti-AML activity by inducing myeloid differentiation and apoptosis, and suppressed the growth of primary human AMLs of diverse genotypes while sparing normal hemopoietic stem-progenitor cells. Our results propose that KAT2A inhibition should be investigated as a therapeutic strategy in AML and provide a large number of genetic vulnerabilities of this leukemia that can be pursued in downstream studies.This work was funded by the Kay Kendall Leukaemia Fund (KKLF) and the Wellcome Trust (WT098051). G.S.V. is funded by a Wellcome Trust Senior Fellowship in Clinical Science (WT095663MA) and work in his laboratory is funded by Bloodwise. C.P. is funded by a Kay Kendall Leukaemia Fund Intermediate Fellowship (KKL888)
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