2,233 research outputs found

    A geopoetic exploration of the Matinha vacant land, Lisbon

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    Our purpose in this communication is to present an exploration of the Matinha vacant land in Lisbon. Initially a sonic exploration, this endeavour would turn to the figure of the natural cyborg, an almost silent formation that thrives in the site, in the form of vegetal-technological hybrids.N/

    Tomographic image processing using Julia and GPU

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    Image processing is an essential work component for material science researchers, and there’s a constant quest for novel ways to explore it. One of the areas this can be done is in computerized tomography (CT) processing. CT images are an efficient and commonly used method to characterize materials. The resulting images can be combined and processed by a GPU. Work on CT image processing has been done previously, however the appearance of novel programming languages allows for further improvement. Julia programming language has the advantage of being both fast and user-friendly and poses an interesting resource for the image processing area. In this dissertation, the development and evaluation of an application written in Julia capable of processing CT images is described. Additionally, an analysis of the potential this programming language has on the image processing field was performed. It was possible to conclude that Julia contributes as an useful tool for material science researchers, and that the solution developed can aid developing their work.O processamento de imagens constitui um elemento base no trabalho desenvolvido por investigadores de engenharia de materiais. Isto resulta numa procura contínua de novas maneiras de explorar este tema. Uma das áreas de processamento de imagem em que se pode fazê-lo é no processamento de tomografia computadorizada (TC). As imagens de TC são meios eficazes e comumente utilizados para caracterizar materiais. As imagens resultantes podem ser posteriormente combinadas e processadas por uma GPU. No passado já foram desenvolvidos projetos no âmbito de processamento de imagens TC, contudo o aparecimento de linguagens de programação mais recentes abrem espaço para novos testes e desenvolvimentos. A linguagem de programação Julia, em particular, apresenta a vantagem de ser simultaneamente rápida e de ter uma sintaxe de fácil compreensão, pelo que pode constituir um recurso útil para a área de processamento de imagem. Nesta dissertação é descrito, o desenvolvimento e avaliação de um programa de computador escrito em Julia capaz de processar imagens de TC. Adicionalmente, é feita uma análise do potencial desta linguagem de programação no campo de processamento de imagem. Foi possível concluir que Julia contibui como uma ferramenta útil para investigadores de de engenharia de materiais, e que a solução desenvolvida pode auxiliar a desenvolver o seu trabalho no futuro

    In-season internal and external training load quantification of an elite European soccer team

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    Elite soccer teams that participate in European competitions need to have players in the best physical and psychological status possible to play matches. As a consequence of congestive schedule, controlling the training load (TL) and thus the level of effort and fatigue of players to reach higher performances during the matches is therefore critical. Therefore, the aim of the current study was to provide the first report of seasonal internal and external training load that included Hooper Index (HI) scores in elite soccer players during an in-season period. Nineteen elite soccer players were sampled, using global position system to collect total distance, high-speed distance (HSD) and average speed (AvS). It was also collected session rating of perceived exertion (s-RPE) and HI scores during the daily training sessions throughout the 2015-2016 in-season period. Data were analysed across ten mesocycles (M: 1 to 10) and collected according to the number of days prior to a one-match week. Total daily distance covered was higher at the start (M1 and M3) compared to the final mesocycle (M10) of the season. M1 (5589m) reached a greater distance than M5 (4473m) (ES = 9.33 [12.70, 5.95]) and M10 (4545m) (ES = 9.84 [13.39, 6.29]). M3 (5691m) reached a greater distance than M5 (ES = 9.07 [12.36, 5.78]), M7 (ES = 6.13 [8.48, 3.79]) and M10 (ES = 9.37 [12.76, 5.98]). High-speed running distance was greater in M1 (227m), than M5 (92m) (ES = 27.95 [37.68, 18.22]) and M10 (138m) (ES = 8.46 [11.55, 5.37]). Interestingly, the s-RPE response was higher in M1 (331au) in comparison to the last mesocycle (M10, 239au). HI showed minor variations across mesocycles and in days prior to the match. Every day prior to a match, all internal and external TL variables expressed significant lower values to other days prior to a match (p<0.01). In general, there were no differences between player positions. Conclusions: Our results reveal that despite the existence of some significant differences between mesocycles, there were minor changes across the in-season period for the internal and external TL variables used. Furthermore, it was observed that MD-1 presented a reduction of external TL (regardless of mesocycle) while internal TL variables did not have the same record during in-season match-day-minus.: The authors state that there were no salaries’ fund from a tobacco company. Also, the authors are not aware of any competing interests. This project was supported by the National Funds through FCT—Portuguese Foundation for Science and Technology (UID/DTP/04045/2013)—and the European Fund for Regional Development (FEDER) allocated by European Union through the COMPETE 2020 Programme (POCI-01-0145- FEDER-006969)—competitiveness and internationalization (POCI). All funding received for this work from any of the following organizations: National Institutes of Health (NIH); Welcome Trust; Howard Hughes Medical Institute (HHMI). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.info:eu-repo/semantics/publishedVersio
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