7 resultados para O2 consumption

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Introdução – Os componentes protésicos têm um papel fundamental na eficiência energética da marcha dos indivíduos amputados. Esta é uma área de conhecimento ainda em desenvolvimento, onde a investigação desempenha um papel central. Objectivos – Comparar e analisar o efeito de dois joelhos protésicos, 3R34, monocêntrico modular, de fricção constante, com auxiliar de extensão incorporado (A) e 3R92, monocêntrico modular, com travão de fricção e controlo pneumático da fase de balanço (B) no consumo energético e eficiência da marcha. Metodologia – Um indivíduo do sexo masculino de 27 anos, com amputação transfemural longa, foi sujeito a um protocolo submáximo de avaliação da resposta ao exercício em passadeira rolante (H/P/Cosmos(R) Mercury), através de um sistema de análise de gases breath‑by‑breath (Cosmed Quark PFT Ergo). Foi efetuado o mesmo protocolo com intervalo de dois dias, primeiro utilizando o joelho A e depois o B. As variáveis analisadas foram o consumo de O2 (VO2), o equivalente metabólico (MET) e a eficiência energética da marcha (Quociente de VO2 esperado de um individuo saudável e o VO2 do individuo em estudo). O esforço percecionado foi medido com a escala RPE de Borg. Resultados – O consumo energético com o joelho A (24,2 ml O2/kg/min; 6,9 MET) foi inferior ao obtido com o joelho B (28,68 ml O2/kg/min; 8,2 MET). A eficiência energética da marcha foi mais elevada para o joelho A (43%) do que para o joelho B (39%). Conclusão – A utilização do joelho A na prótese do indivíduo em estudo resulta numa marcha de menor consumo energético e maior eficiência. No entanto, este valor poderá estar influenciado pelo curto período de adaptação ao joelho B, sendo necessários mais estudos para confirmar os resultados do estudo e a influência deste fator. ABSTRACT - Background – Prosthetic components have a crucial role in the energy efficiency of amputee’s gait. This is an area of knowledge still in development, where research plays a central role. Objective – The purpose of this case study is to compare the impact in energy consumption of two prosthetic knees, titanium single‑axis constant friction knee joint with internal extension assist, 3R34 (A) and a single‑axis pneumatic swing phase control, 3R92 (B). Methodology – The participant was a transtibial amputee, male, with 27 years old, with no other clinical or functional impairments. To measure the energy expenditure a submaximal treadmill (H/P/Cosmos(R) Mercury) exercise stress test combined with a breath‑by‑breath analysis system (Cosmed Quark PFT Ergo) was used. The same test was applied to both knees, separated by two days. The analyzed variables were O2 consumption (VO2), metabolic equivalent (MET) and gait efficiency (VO2 ratio expected from a healthy individual and the studied individual). A rate of perceived exertion (Borg’s Scale) was used. Results – The results were favorable to knee A (24.2 ml O2/kg/min; 6.9 MET, 43% efficiency) compared with knee B (28.68 ml O2/kg/min; 8.2 MET, 39% efficiency). Conclusion – In this case, a less energy consumption gait corresponds to the prosthesis with knee A. These values may be influenced by the short adaptation period with knee B, so it’s necessary to perform more studies to confirm the previous results and to understand the truly impact of correct adaptation factor to the best prosthetics components for different patients.

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Occupational exposure to formaldehyde (FA) has been shown to induce nasopharyngeal cancer and has been classified as carcinogenic to humans (group 1) on the basis of sufficient evidence in humans. Tobacco smoke has been associated to a higher risk of development of cancer, especially in the oral cavity, larynx and lungs, as these are places of direct contact with many carcinogenic tobacco’s compounds. Alcohol is a recognized agent that influence cells in a genotoxic form, been citied as a strong agent with potential in the development of carcinogenic lesions. Epidemiological evidence points to a strong synergistic effect between cigarette smoking and alcohol consumption in the induction of cancers in the oral cavity. Approximately 90% of human cancers originate from epithelial cells. Therefore, it could be argued that oral epithelial cells represent a preferred target site for early genotoxic events induced by carcinogenic agents entering the body via inhalation and ingestion. The MN assay in buccal cells was also used to study cancerous and precancerous lesions and to monitor the effects of a number of chemopreventive agents.

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It is important to understand and forecast a typical or a particularly household daily consumption in order to design and size suitable renewable energy systems and energy storage. In this research for Short Term Load Forecasting (STLF) it has been used Artificial Neural Networks (ANN) and, despite the consumption unpredictability, it has been shown the possibility to forecast the electricity consumption of a household with certainty. The ANNs are recognized to be a potential methodology for modeling hourly and daily energy consumption and load forecasting. Input variables such as apartment area, numbers of occupants, electrical appliance consumption and Boolean inputs as hourly meter system were considered. Furthermore, the investigation carried out aims to define an ANN architecture and a training algorithm in order to achieve a robust model to be used in forecasting energy consumption in a typical household. It was observed that a feed-forward ANN and the Levenberg-Marquardt algorithm provided a good performance. For this research it was used a database with consumption records, logged in 93 real households, in Lisbon, Portugal, between February 2000 and July 2001, including both weekdays and weekend. The results show that the ANN approach provides a reliable model for forecasting household electric energy consumption and load profile. © 2014 The Author.

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"It is a widely accepted fact that the consumption-based capital asset pricing model (CCAPM) fails to provide a good explanation of many important features of the behaviour of financial market returns in a large range of countries over a long period of time. However, within a representative consumer/investor model, it is hard to see how the basic structure of the consumption based model can be safely abandoned." [introdução]

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This paper discusses the results of applied research on the eco-driving domain based on a huge data set produced from a fleet of Lisbon's public transportation buses for a three-year period. This data set is based on events automatically extracted from the control area network bus and enriched with GPS coordinates, weather conditions, and road information. We apply online analytical processing (OLAP) and knowledge discovery (KD) techniques to deal with the high volume of this data set and to determine the major factors that influence the average fuel consumption, and then classify the drivers involved according to their driving efficiency. Consequently, we identify the most appropriate driving practices and styles. Our findings show that introducing simple practices, such as optimal clutch, engine rotation, and engine running in idle, can reduce fuel consumption on average from 3 to 5l/100 km, meaning a saving of 30 l per bus on one day. These findings have been strongly considered in the drivers' training sessions.

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Energy efficiency plays an important role to the CO2 emissions reduction, combating climate change and improving the competitiveness of the economy. The problem presented here is related to the use of stand-alone diesel gen-sets and its high specific fuel consumptions when operates at low loads. The variable speed gen-set concept is explained as an energy-saving solution to improve this system efficiency. This paper details how an optimum fuel consumption trajectory based on experimentally Diesel engine power map is obtained.

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Master Thesis to obtain the Master degree in Chemical Engineering - Branch Chemical Processes