9,191 research outputs found

    Fleurs recyclées : Sur les traces de relations souterraines dans l’Officium breve in memoriam Andreae Szervánszky opus 28 pour quatuor à cordes de György Kurtág1

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    Cet article explore une face cachée de l’oeuvre publiée de György Kurtág. Le « motif de la fleur », d’abord apparu dans Bornemisza Péter mondásai [Dits de Péter Bornemisza], opus 7 (1963-68), a proliféré dans une part significative des composition de Kurtág. L’impact de ce type de relation motivique est mis en lumière à travers l’ Officium breve in memoriam Andreae Szervánszky, opus 28 (1988-89), pour quatuor à cordes. La recherche présentée ici est le fruit de la connaissance profonde qu’a l’auteur des documents de travail du compositeur, conservés dans la Collection György Kurtág de la Fondation Paul Sacher.This article explores the vast underside of György Kurtág’s published work. The so-called flower motif that first appeared in the Bornemisza Péter mondásai [The Sayings of Péter Bornemisza] Op. 7 (1963-68) has proliferated and permeated a significant part of Kurtág’s compositions. The impact of this type of motivic relationship is discussed in the context of Officium breve in memoriam Andreae Szervánszky Op. 28 (1988-89) for string quartet. The information presented here is based on the author’s detailed knowledge of the composer’s working documents conserved in the György Kurtág Collection of the Paul Sacher Foundation

    Looking to death for what life cannot give : the Waste Land and F. H. Bradley

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    Thesis (M.A.) -- University of Adelaide, Dept. of English, 199

    Air pollution and fog detection through vehicular sensors

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    We describe a method for the automatic recognition of air pollution and fog from a vehicle. Our system consists of sensors to acquire main data from cameras as well as from Light Detection and Recognition (LIDAR) instruments. We discuss how this data can be collected, analyzed and merged to determine the degree of air pollution or fog. Such data is essential for control systems of moving vehicles in making autonomous decisions for avoidance. Backend systems need such data for forecasting and strategic traffic planning and control. Laboratory based experimental results are presented for weather conditions like air pollution and fog, showing that the recognition scenario works with better than adequate results. This paper demonstrates that LIDAR technology, already onboard for the purpose of autonomous driving, can be used to improve weather condition recognition when compared with a camera only system. We conclude that the combination of a front camera and a LIDAR laser scanner is well suited as a sensor instrument set for air pollution and fog recognition that can contribute accurate data to driving assistance and weather alerting-systems

    Ensemble interpolation methods for spatio-temporal data modelling

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    Real time weather forecasting is a highly influential tool in decision making for agriculture. Geographic Information Systems (GIS) can be built to provide information about topographic data such as elevation and distance to oceans or water reservoirs. This data has begun to have increased availability, providing easier access for developing new applications. By using geographic information together with terrestrial measurements from weather stations, the spatial and temporal scales of the climatic variables can be analyzed by interpolation and forecasting. Most of the interpolation methods provided in common GIS tools are only related to the spatial domain, limiting its use in numerical modelling and prediction of climatic states. However, by adopting a Bayesian approach, it appears possible to estimate the dynamic behaviour of the unobserved climate pattern using a state-space representation. Using this framework, the ensemble Kalman filter or a more general sequential Monte Carlo method could be used for the estimation procedure. A wireless sensor network providing continuous data to populate such a model is described here for potential application of this approach

    Report—Centre and periphery, roots and exile: Interpreting the music of István Anhalt and György Kurtág. Centre et périphérie, racines et exil : L’interprétation de la musique d’István Anhalt et de György Kurtág. Rozsa Centre, University of Calgary January 22–25 janvier, 2008

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    Au mois de janvier 2008, le département de musique de l’Université de Calgary a consacré trois jours à un colloque bilingue portant sur la musique et les idées d’István Anhalt et de György Kurtág, examinées sous les angles musicologiques, ethnomusicologiques, pédagogiques et analytiques. Des participants du Canada, d’Europe et des États-Unis ont présenté des communications et participé à des discussions entourant la musique, ainsi que l’identité et l’appartenance à un lieu des deux compositeurs, par le biais d’une large sélection d’oeuvres. La conférence d’ouverture d’Anhalt a abordé des considérations biographiques en rapport avec l’émigration de sa Hongrie natale et l’impact de cet événement sur sa musique, tandis que celle de Beckles Willson s’est concentrée sur le rapport intime qui lie la musique de Kurtág à Budapest. Les présentations subséquentes ont dévoilé de nouveaux aperçus sur la musique vocale des deux compositeurs et sur les oeuvres pour orchestre d’Anhalt et la musique de chambre de Kurtág. Le colloque s’est terminé avec des discussions parallèles concernant d’autres compositeurs, tels que B. Bartók, H. Lachenmann, J. Rea, W. Rihm, R. Schumann, M. Seiber et S. Veress. Six concerts ont aussi accompagné les débats avec des prestations d’oeuvres d’Anhalt, de Kurtág et d’autres compositeurs du Festival de la Nouvelle Musique 2008 du département de musique

    Associations of neighborhood characteristics with active park use : an observational study in two cities in the USA and Belgium

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    Background: Public parks can be an important setting for physical activity promotion, but to increase park use and the activity levels of park users, the crucial attributes related to active park use need to be defined. Not only user characteristics and structural park attributes, but also characteristics of the surrounding neighborhood are important to examine. Furthermore, internationally comparable studies are needed, to find out if similar intervention strategies might be effective worldwide. The main aim of this study was to examine whether the overall number of park visitors and their activity levels depend on study site, neighborhood walkability and neighborhood income. Methods: Data were collected in 20 parks in Ghent, Belgium and San Diego, USA. Two trained observers systematically coded park characteristics using the Environmental Assessment of Public Recreation Spaces (EAPRS) tool, and park user characteristics using the System for Observing Play and recreation in Communities (SOPARC) tool. Multilevel multiple regression models were conducted in MLwiN 2.25. Results: In San Diego parks, activity levels of park visitors and number of vigorously active visitors were higher than in Ghent, while the number of visitors walking and the overall number of park visitors were lower. Neighborhood walkability was positively associated with the overall number of visitors, the number of visitors walking, number of sedentary visitors and mean activity levels of visitors. Neighborhood income was positively associated with the overall number of visitors, but negatively with the number of visitors being vigorously active. Conclusions: Neighborhood characteristics are important to explain park use. Neighborhood walkability-related attributes should be taken into account when promoting the use of existing parks or creating new parks. Because no strong differences were found between parks in high-and low-income neighborhoods, it seems that promoting park use might be a promising strategy to increase physical activity in low-income populations, known to be at higher risk for overweight and obesity

    Early life cognitive function and health behaviours in late childhood: testing the neuro-selection hypothesis

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    Background: Higher cognitive function in childhood is associated with healthier behaviours and a reduced risk of chronic disease in adulthood, but it is unclear whether this selection of healthier behaviours occurs in childhood or later in life. The present study investigated how cognitive function at age 3-7 years was associated with health behaviours at age 11. Methods: Verbal, non-verbal and spatial abilities were assessed using the British Ability Scales at ages 3-7. At age 11, children reported how often they engaged in sport/physical activity, sedentary behaviours (e.g. reading and games console usage), cigarette smoking and alcohol consumption. Logistic regression was used to estimate odds of engaging in health behaviours at age 11 according to early life cognition. Results: A one standard deviation increase in early childhood verbal ability was associated with reduced odds of attempting smoking by age 11 in boys and girls (OR 0.69 [95% CI 0.57, 0.84]) and reduced odds of computer gaming in girls (OR 0.79 [95% CI 0.72, 0.86]). Verbal ability was also associated with reduced odds of regular participation at age 11 in sport/active games and increased odds of reading for enjoyment. Non-verbal ability was associated with reduced odds of alcohol consumption in boys and girls (OR 0.92 [95% CI 0.85, 0.99]) and reduced odds of online messaging (OR 0.89 [95% CI 0.81, 0.98]). Spatial ability was associated with reduced odds of participating in sport/active games in boys. Conclusion: Neuroselection may occur during early life resulting in some, but not all, healthier behaviours

    Automated Ecological Assessment of Physical Activity: Advancing Direct Observation.

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    Technological advances provide opportunities for automating direct observations of physical activity, which allow for continuous monitoring and feedback. This pilot study evaluated the initial validity of computer vision algorithms for ecological assessment of physical activity. The sample comprised 6630 seconds per camera (three cameras in total) of video capturing up to nine participants engaged in sitting, standing, walking, and jogging in an open outdoor space while wearing accelerometers. Computer vision algorithms were developed to assess the number and proportion of people in sedentary, light, moderate, and vigorous activity, and group-based metabolic equivalents of tasks (MET)-minutes. Means and standard deviations (SD) of bias/difference values, and intraclass correlation coefficients (ICC) assessed the criterion validity compared to accelerometry separately for each camera. The number and proportion of participants sedentary and in moderate-to-vigorous physical activity (MVPA) had small biases (within 20% of the criterion mean) and the ICCs were excellent (0.82-0.98). Total MET-minutes were slightly underestimated by 9.3-17.1% and the ICCs were good (0.68-0.79). The standard deviations of the bias estimates were moderate-to-large relative to the means. The computer vision algorithms appeared to have acceptable sample-level validity (i.e., across a sample of time intervals) and are promising for automated ecological assessment of activity in open outdoor settings, but further development and testing is needed before such tools can be used in a diverse range of settings

    Using change point analysis to determine perception accuracyinsocial media opinions

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    Social media such as Facebook and Twitter have become repositories for extremely large volumes of data representing for the most part, personal opinions and statements of individual users of these instruments for interpersonal communication. They provide a forum for discourse and debate. The strings of words broadcast by individuals are predominantly casual expressions reflecting personal attitudes or sentiments. Due to the pervasive nature of social media and the opinions they proliferate, it is assumed likely that these casual expressions are being relied on by some readers of the discourse, for their decision making influence. This paper describes how Change Point Analysis (CPA) can be used to bring some precision to the plethora of casually expressed sentiment sourced from social media databases. It is contended that where the conjunction of opinions expressed are related to a factual occurrence in time and space, a change point can be established, which indicates the potential reliability on a given sentiment as being a reliable influence factor for opinion formulation or other decision. When related to tourist destination data, the case study for Japan described here is convincing in its analytical result expositio
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