353 research outputs found

    Usabilidade e experiência do usuário de sistemas de informação: em busca de limites e relações

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    A Usabilidade e a Experiência do usuário de sistemas de informação são aspectos de grande relevância no processo de desenvolvimento de interfaces digitais. Cada um desses elementos contribui, objetiva e/ou subjetivamente, para a identificação de aspectos fundamentais para a criação de interfaces de sistemas de informação. Nessa perspectiva, o referido estudo tem o objetivo de apresentar reflexões acerca dos possíveis limites e relações entre esses dois elementos. Trata-se de uma pesquisa qualitativa, baseada em pesquisa bibliográfica sobre as temáticas usabilidade e experiência do usuário em bases de dados internacionais (Scopus e Web of Science), sem delimitação de área do conhecimento e recorte temporal, destacando, especialmente, os termos de forma relacional. A partir do referido estudo, foi possível evidenciar a carência de estudos capazes de unificar o significado desses conceitos e, consequentemente promover o avanço e aprofundamento de estudos dessas temáticas. Assim, o estudo evidenciou que usabilidade e a experiência do usuário possuem numerosas características, o que salienta a necessidade de um entendimento mais aprofundado por parte dos pesquisadores interessados nas referidas temáticas, devido à ausência de consenso sobre essas questões

    Longitudinal study in 3,000 m male runners: relationship between performance and selected physiological parameters

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    The purpose of the present study was to analyze longitudinal changes in 3,000 m running performance and the relationship with selected physiological parameters. Eighteen well-trained male middle-distance runners were measured six times (x3 per year) throughout two consecutive competitive seasons. The following parameters were measured on each occasion: maximal oxygen uptake (VO2max), running economy (RE), velocity at maximal oxygen uptake (vVO2max), velocity at 4mmol L-1 blood lactate concentration (V4), and performance velocity (km·h-1) in 3,000 m time trials. Values ranged from 19.59 to 20.16 km·h-1, running performance; 197 to 207 mL·kg-1·km-1. RE; 17.2 to 17.7 km·h-1, V4; 67.1 to 72.5 mL·kg-1·min-1, VO2max; and 19.8 to 20.2 km·h-1, vVO2max. A hierarchical linear model was used to quantify longitudinal relationships between running performance and selected physiological variables. Running performance decreased significantly over time, between each time point the decrease in running velocity was 0.06 km·h-1. The variables that significantly explained performance changes were V4 and vVO2max. Also, vVO2max and V4 were the measures most strongly correlated with performance and can be used to predict 3,000 m race velocity. The best prediction formula for 3,000 m running performance was: y = 0.646 + 0.626x + 0.416z (R2=0.85); where y = V3,000 m velocity (km·h-1), x = V4 (km·h-1) and z = vVO2max (km·h-1). The high predictive power of vVO2max and V4 suggest that both coaches and athletes should give attention to improving these two physiological variables, in order to improve running performance

    Cinesiterapia e Massoterapia

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    Reabilitação Respiratória

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    Very large scale high performance computing and instrument management for high availability systems through the use of virtualization at the Square Kilometre Array (SKA) telescope

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    The Square Kilometer Array (SKA) Telescope, is an ongoing project set to start its building phase in 2018 and be ready for first light in 2020. The first part of the project, the SKA1 will be comprised of 130.000 low frequency antennas (50 MHz to 350 MHz) and 200 mid frequency antennas (350 MHz to 15.5 GHz). The SKA1 will produce a raw data rate of ~10 Tb/s, require a computing power of 100 Pflop/s and an archiving capacity of hundreds of PB/year. The next phase of the project, the SKA2, is going to increase the number of both low and mid antennas by a factor of 10 and increase the computing requirements accordingly. The key requirements for the project are a very demanding availability of 99.9%, computing scalability and result reproducibility. We propose an approach to enforce these requirements - with an optimal use of resources - by using highly distributed computing and virtualization technologies.publishe

    A Cyber Infrastructure for the SKA Telescope Manager

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    The Square Kilometre Array Telescope Manager (SKA TM) will be responsible for assisting the SKA Operations and Observation Management, carrying out System diagnosis and collecting Monitoring & Control data from the SKA subsystems and components. To provide adequate compute resources, scalability, operation continuity and high availability, as well as strict Quality of Service, the TM cyber-infrastructure (embodied in the Local Infrastructure - LINFRA) consists of COTS hardware and infrastructural software (for example: server monitoring software, host operating system, virtualization software, device firmware), providing a specially tailored Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) solution. The TM infrastructure provides services in the form of computational power, software defined networking, power, storage abstractions, and high level, state of the art IaaS and PaaS management interfaces. This cyber platform will be tailored to each of the two SKA Phase 1 telescopes (SKA_MID in South Africa and SKA_LOW in Australia) instances, each presenting different computational and storage infrastructures and conditioned by location. This cyber platform will provide a compute model enabling TM to manage the deployment and execution of its multiple components (observation scheduler, proposal submission tools, M&C components, Forensic tools and several Databases, etc). In this sense, the TM LINFRA is primarily focused towards the provision of isolated instances, mostly resorting to virtualization technologies, while defaulting to bare hardware if specifically required due to performance, security, availability, or other requirement
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