772 resultados para Optimization. Semiarid. Management. Performance Indicators
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The aim of this investigation was to establish median performance profiles for the six playing positions in elite women’s indoor hockey and then identify whether these position-specific profiles could discriminate between qualifying (top four), mid-table and relegated teams in the 2011-12 England Hockey premier league. Successful passing in relegated teams was significantly lower (p<0.008) than in mid-table and qualifying teams in four of the five outfield positions. Furthermore, the right backs of qualifying teams demonstrated significantly fewer (p<0.008) unsuccessful passes (x̃=15.5 ±CLs 15.0 and 10.0 respectively) and interceptions (x̃=4.0 ±CLs 4.0 and 3.0 respectively) than relegated teams (x̃=19.5 ±CLs 21.0 and 17.0; x̃=7.5 ±CLs 8.0 and 6.0 respectively). Finally, the right forwards of relegated teams demonstrated significantly fewer (p<0.008) successful interceptions (x̃=4.0 ±CLs 5.0 and 4.0 respectively) than qualifying teams (x̃=5.0 ±CLs 6.0 and 3.0 respectively) and significantly more (p<0.008) unsuccessful interceptions (x̃=5.5 ±CLs 6.0 and 4.0 respectively) than mid-table teams (x̃=3.0 ±CLs 3.0 and 2.0 respectively). Based on these findings, coaches should adapt tactical strategies and personnel deployment accordingly to enhance the likelihood of preparing a qualifying team. Research should build from these data to examine dribbling, pressing and patterns of play when outletting.
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In this paper a novel methodology aimed at minimizing the probability of network failure and the failure impact (in terms of QoS degradation) while optimizing the resource consumption is introduced. A detailed study of MPLS recovery techniques and their GMPLS extensions are also presented. In this scenario, some features for reducing the failure impact and offering minimum failure probabilities at the same time are also analyzed. Novel two-step routing algorithms using this methodology are proposed. Results show that these methods offer high protection levels with optimal resource consumption
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Introducción: El programa de Fisioterapia de la Universidad del Rosario, en su responsabilidad social de generar un impacto positivo en la comunidad y en su propósito de formar profesionales, cuenta con los Programas Académicos de Campo (PAC) que se consideran una fuerte estrategia de extensión de la Universidad. Los PAC contribuyen a la adquisición de competencias para el desarrollo de procesos de acción-actuación-creación en los estudiantes para que resuelvan problemas en un espacio real de ejercicio profesional. Bajo esta perspectiva los PAC del programa de Fisioterapia muestran su comportamiento a través de la medición de indicadores de proceso y resultados propuestos desde el Programa con el fin de proveer información útil para la reorientación y permanente actualización de los contenidos programáticos en las asignaturas y en los mismos PAC. Materiales y métodos: En el siguiente artículo se presenta un análisis de los indicadores de demanda por género, régimen de Seguridad Social en Salud, procedimiento y morbilidad de los Programas Académicos de Campo Integral Pediátrico, Integral de Adultos y Rehabilitación cardíaca y/o pulmonar, con el fin de establecer las características de la población objeto de la prestación de los servicios y procurar información verificable que dé soporte para la construcción de procesos de cambio dentro de la dinámica de mejoramiento continuo que debe tener cualquier institución. Este seguimiento es útil para la toma de decisiones de planeación académica que contribuye a mejorar los procesos de planeación y a facilitar el cumplimiento de los propósitos de formación para cada práctica, y de esta manera ayuda a ser elemento de análisis para directivas, instructores y estudiantes en la orientación del proceso de gestión académico-administrativo, y a retroalimentar los procesos de planeación y programación académica. Resultados: Los resultados arrojados en el análisis de los datos de la morbilidad en los programas académicos de campo muestran el siguiente comportamiento durante los años 2004, 2005, 2006 y 2007. Conclusiones: En el PAC pediátrico la mayor incidencia es de asma con un 37,2% y la más baja incidencia es para luxación congénita de cadera y enfermedad mental de origen central con un 0,1%. El 58% de los usuarios es de género masculino, y el 81% del total pertenece al régimen contributivo. En la morbilidad del PAC de adultos la mayor incidencia es de EPOC, con un 23,2%, y la menor incidencia es de lumbalgia, con un 2,4%. La mayoría de usuarios atendidos (58%) son hombres, y el 58% de los usuarios pertenece al régimen contributivo. En el PAC de rehabilitación cardíaca y/o pulmonar la mayor incidencia fue de EPOC, con un 40%; seguido de neumonía, con 17%; y con una menor incidencia para asma, con un 2%. El 54% de los usuarios son hombres y el 91% del total pertenece al régimen subsidiado.
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Digital videophotography, computer image analysis and physical measurements have been used to monitor sedimentation rates, coral cover, genera richness, rugosity and estimated recruitment dates of massive corals at three different sites in the Wakatobi Marine National Park, Indonesia, and on the reefs around Discovery Bay, Jamaica. Semi-structured interviews with key stakeholders in the Wakatobi Marine National Park indicated that coral mining was extensively practised, and is responsible for the absence of large non-branching corals on the Sampela reef Blast fishing is also practised in the Wakatobi Marine Park, and the authors, together with students, showed that blast fishing resulted in coral bleaching and not mortality of two Porites lutea colonies. In addition, we showed that monitoring of bleaching in Porites colonies induced by blast fishing could be a useful way of monitoring blast fishing practices in susceptible areas in the Indo-Pacific. The techniques used in this study are appropriate for use by volunteers with sufficient training, and provide excellent projects for dissertation students reading undergraduate degrees.
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The main objectives of this paper are to: firstly, identify key issues related to sustainable intelligent buildings (environmental, social, economic and technological factors); develop a conceptual model for the selection of the appropriate KPIs; secondly, test critically stakeholder's perceptions and values of selected KPIs intelligent buildings; and thirdly develop a new model for measuring the level of sustainability for sustainable intelligent buildings. This paper uses a consensus-based model (Sustainable Built Environment Tool- SuBETool), which is analysed using the analytical hierarchical process (AHP) for multi-criteria decision-making. The use of the multi-attribute model for priority setting in the sustainability assessment of intelligent buildings is introduced. The paper commences by reviewing the literature on sustainable intelligent buildings research and presents a pilot-study investigating the problems of complexity and subjectivity. This study is based upon a survey perceptions held by selected stakeholders and the value they attribute to selected KPIs. It is argued that the benefit of the new proposed model (SuBETool) is a ‘tool’ for ‘comparative’ rather than an absolute measurement. It has the potential to provide useful lessons from current sustainability assessment methods for strategic future of sustainable intelligent buildings in order to improve a building's performance and to deliver objective outcomes. Findings of this survey enrich the field of intelligent buildings in two ways. Firstly, it gives a detailed insight into the selection of sustainable building indicators, as well as their degree of importance. Secondly, it tesst critically stakeholder's perceptions and values of selected KPIs intelligent buildings. It is concluded that the priority levels for selected criteria is largely dependent on the integrated design team, which includes the client, architects, engineers and facilities managers.
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Aim. The aim of this study was to investigate whether a single soccer specific fitness test (SSFT) could differentiate between highly trained and recreationally active soccer players in selected test performance indicators. Methods. Subjects: 13 Academy Scholars (AS) from a professional soccer club and 10 Recreational Players (RP) agreed to participate in this study. Test 1-(V)over dotO(2) max was estimated from a progressive shuttle run test to exhaustion. Test 2-The SSFT was controlled by an automated procedure and alternated between walking, sprinting, jogging and cruise running speeds. Three activity blocks (1A, 2A and 3A) were separated by 3 min rest periods in which blood lactate samples were drawn. The 3 blocks of activity (Part A) were followed by 10 min of exercise at speeds alternating between jogging and cruise running (Part B). Results. Estimated (V)over dotO(2) max did not significantly differ between groups, although a trend for a higher aerobic capacity was evident in AS (p<0.09). Exercising heart rates did not differ between AS and RP, however, recovery heart rates taken from the 3 min rest periods were significantly lower in AS compared with RP following blocks 1A (124.65 b(.)min(-1) +/-7.73 and 133.98 b(.)min(-1) +/-6.63), (p<0.05) and 3A (129.91 b.min(-1) +/-10.21 and 138.85 b.min(-1) +/-8.70), (p<0.01). Blood lactate concentrations were significantly elevated in AS in comparison to RP following blocks 2A (6.91 mmol(.)l(-1) +/-2.67 and 4.74 mmol(.)l(-1) +/-1.28) and 3A (7.18 mmol(.)l(-1) +/-2.97 and 4.88 mmol(.)l(-1) +/-1.50), (p<0.05). AS sustained significantly faster average sprint times in block 3A compared with RP (3.18 sec +/-0.12 and 3.31 sec +/-0.12), (p<0.05). Conclusion. The results of this study show that highly trained soccer players are able to sustain, and more quickly recover from, high intensity intermittent exercise.
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Il seguente elaborato è la diretta conseguenza di un periodo di stage, pari a cinque mesi, svolto presso l’azienda INTERTABA S.p.A., a Zola Predosa (BO). Il Dipartimento presso cui è stato svolto il tirocinio è l’Engineering. In particolare è stata compiuta un’analisi dei KPIs presenti e sono state proposte delle azioni migliorative. Il lavoro si è sviluppato in tre fasi. Nella prima fase è stata fatta un’analisi dei KPIs attuali per ciascuna funzione appartenente all’Engineering: Engineering Support, Project Engineering, Plant & Utilities Maintenance, Technical Warehouse e General Services. Nella seconda fase sono state descritte, per ciascuna funzione, alcune proposte migliorative per i KPIs presenti. Infine, per alcune funzioni, sono state proposte alcune iniziative in merito all’implementazione di nuovi KPIs.
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This paper reports the results of the assessment of a range of measures implemented in bus systems in five European cities to improve the use of public transport by increasing its attractiveness and enhancing its image in urban areas. This research was conducted as part of the EBSF project (European Bus System of the Future) from 2008 to 2012. New buses (prototypes), new vehicle and infrastructure technologies, and operational best practices were introduced, all of which were combined in a system approach. The measures were assessed using multicriteria analysis to simultaneously evaluate a certain number of criteria that need to be aggregated. Each criterion is measured by one or more key performance indicators (KPI) calculated in two scenarios (reference scenario, with no measure implemented; and project scenario, with the implementation of some measures), in order to evaluate the difference in the KPI performance between the reference and project scenario. The results indicate that the measures produce a greater benefit in issues related to bus system productivity and customer satisfaction, with the greatest impact on aspects of perceptions of comfort, cleanliness and quality of service, information to passengers and environmental issues. The study also reveals that the implementation of several measures has greater social utility than very specific and isolated measures.
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Multiple indicators are of interest in smart cities at different scales and for different stakeholders. In open environments, such as The Web, or when indicator information has to be interchanged across systems, contextual information (e.g., unit of measurement, measurement method) should be transmitted together with the data and the lack of such information might cause undesirable effects. Describing the data by means of ontologies increases interoperability among datasets and applications. However, methodological guidance is crucial during ontology development in order to transform the art of modeling in an engineering activity. In the current paper, we present a methodological approach for modelling data about Key Performance Indicators and their context with an application example of such guidelines.