980 resultados para Power factor corrector


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4th International Conference on Climbing and Walking Robots - From Biology to Industrial Applications

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A implantação de piercings corporais tem sido uma prática cada vez mais comum nas últimas décadas, sobretudo entre os mais jovens. No entanto, não se trata de um procedimento inócuo, podendo apresentar complicações tão graves como a endocardite infecciosa, que pode surgir em indivíduos com ou sem cardiopatia de base. Neste artigo relatamos o caso de uma endocardite pós piercing numa jovem com pacemaker definitivo, tendo havido necessidade de intervenção cirúrgica. Fazemos igualmente uma revisão dos casos de endocardite pós piercing descritos na literatura. Agora que as recomendações da American Heart Association para a profilaxia de endocardite infecciosa estão mais restritas, discutimos a necessidade de inclusão dos piercings corporais nos procedimentos a merecerem terapêutica profiláctica nos indivíduos de alto risco.

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INTRODUCTION AND AIMS: Adult orthotopic liver transplantation (OLT) is associated with considerable blood product requirements. The aim of this study was to assess the ability of preoperative information to predict intraoperative red blood cell (RBC) transfusion requirements among adult liver recipients. METHODS: Preoperative variables with previously demonstrated relationships to intraoperative RBC transfusion were identified from the literature: sex, age, pathology, prothrombin time (PT), factor V, hemoglobin (Hb), and platelet count (plt). These variables were then retrospectively collected from 758 consecutive adult patients undergoing OLT from 1997 to 2007. Relationships between these variables and intraoperative blood transfusion requirements were examined by both univariate analysis and multiple linear regression analysis. RESULTS: Univariate analysis confirmed significant associations between RBC transfusion and PT, factor V, Hb, Plt, pathology, and age (P values all < .001). However, stepwise backward multivariate analysis excluded variables Plt and factor V from the multiple regression linear model. The variables included in the final predictive model were PT, Hb, age, and pathology. Patients suffering from liver carcinoma required more blood products than those suffering from other pathologies. Yet, the overall predictive power of the final model was limited (R(2) = .308; adjusted R(2) = .30). CONCLUSION: Preoperative variables have limited predictive power for intraoperative RBC transfusion requirements even when significant statistical associations exist, identifying only a small portion of the observed total transfusion variability. Preoperative PT, Hb, age, and liver pathology seem to be the most significant predictive factors but other factors like severity of liver disease, surgical technique, medical experience in liver transplantation, and other noncontrollable human variables may play important roles to determine the final transfusion requirements.

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A deficiência de factor XI é uma doença hematológica rara na população em geral. Pode manifestar-se apenas como complicação hemorrágica no doente submetido a cirurgia electiva. Os autores descrevem o caso clínico de uma mulher de 59 anos, que apresenta um quadro de hemorragia vaginal abundante 10 dias após ter sido submetida a histerectomia vaginal com McCall, plastia anterior e posterior. Salientam a importância da avaliação analítica pré-operatória, em especial o estudo da coagulação, e descrevem a abordagem e o tratamento da deficiência de factor XI.

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In this paper, we apply the following four power indices to the Portuguese Parliament: Shapley–Shubik index, Banzhaf index, Deegan–Packel index and Public Good Index. We also present the main notions related with simple games and discuss the features of each power index by means of their axiomatic characterizations.

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The pathophysiology of depression is related to neurobiological changes that occur in the monoamine system, hypothalamic-pituitary-adrenal axis, neurogenesis system and the neuroimmune system. In recent years, there has been a growing interest in the research of the effects of exercise on brain function, with a special focus on its effects on brainderived neurotrophic factor (BDNF), cortisol and other biomarkers. Thus, the aim of this study is to present a review investigating the acute and chronic effects of aerobic exercise on BDNF and cortisol levels in individuals with depression. It was not possible to establish an interaction between aerobic exercise and concentration of BDNF and cortisol, which may actually be the result of the divergence of methods, such as type of exercises, duration of the sessions, and prescribed intensity and frequency of sessions.

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Smart Grids (SGs) have emerged as the new paradigm for power system operation and management, being designed to include large amounts of distributed energy resources. This new paradigm requires new Energy Resource Management (ERM) methodologies considering different operation strategies and the existence of new management players such as several types of aggregators. This paper proposes a methodology to facilitate the coalition between distributed generation units originating Virtual Power Players (VPP) considering a game theory approach. The proposed approach consists in the analysis of the classifications that were attributed by each VPP to the distributed generation units, as well as in the analysis of the previous established contracts by each player. The proposed classification model is based in fourteen parameters including technical, economical and behavioural ones. Depending of the VPP strategies, size and goals, each parameter has different importance. VPP can also manage other type of energy resources, like storage units, electric vehicles, demand response programs or even parts of the MV and LV distribution network. A case study with twelve VPPs with different characteristics and one hundred and fifty real distributed generation units is included in the paper.

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This study proposes a new methodology to increase the power delivered to any load point in a radial distribution network, through the identification of new investments in order to improve the repair time. This research work is innovative and consists in proposing a full optimisation model based on mixed-integer non-linear programming considering the Pareto front technique. The goal is to achieve a reduction in repair times of the distribution networks components, while minimising the costs of that reduction as well as non-supplied energy costs. The optimisation model considers the distribution network technical constraints, the substation transformer taps, and it is able to choose the capacitor banks size. A case study based on a 33-bus distribution network is presented in order to illustrate in detail the application of the proposed methodology.

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Proceedings of the 13th International UFZ-Deltares Conference on Sustainable Use and Management of Soil, Sediment and Water Resources - 9–12 June 2015 • Copenhagen, Denmark

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Background: Proteinuria (PT) with SRL appears not only after conversion from a calcineurin inhibitor (CI), but also in de novo patients. The PT may be related to a hemodynamic effect of CI withdrawal or to a direct effect of SRL in glomerulus (GL). Recently an association between PT in SRL patients and FSGS lesions has been described. It is also known that SRL decrease VEGF synthesis and experimental data suggest that VEGF is essential to podocyte survival and differentiation. Aim: To determine if glomerular lesions and PT in SRL patients could be related to altered glomerular VEGF expression. Material and methods: We evaluated glomerular VEGF expression in 10 biopsies: A-allograft kidney in backtable (n=3); B-native normal kidney (n=1); C-native kidney with FSGS lesions (n=2); D-allograft kidney with FSGS lesions from proteinuric patients under SRL after conversion from CI (n=3); E-allograft kidney in proteinuric patient under SRL with a membranous glomerulonephritis (n=1). We employed indirect immunohistochemistry in paraffin-embedded sections using a mouse monoclonal antibody against human VEGF-C1 (Santa Cruz). Results: The controls biopsies (A; B) showed normal global VEGF expression, with strong podocyte staining. The VEGF expression in the group C was similar to the controls, although no FSGS lesions were observed in the stained GL. The group D showed normal VEGF expression in the apparently normal GL, hypertrophied podocytes with reduction of VEGF in anomalous GL, and no staining in slcerotic lesions. We observed a gradual reduction of VEGF expression with progressive dedifferentiation of podocytes. In the group E the VEGF was globally reduced, with some hypertrophied podocytes expressing decreased VEGF. Conclusion: We confirmed the diminished VEGF expression in injured podocytes of SRL patients.This decreased expression may result from a direct effect of SRL and precede the appearance of FSGS lesions and PT. Further studies are needed with greater number of cases and controls, including early biopsies of patients under SRL.

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The Internet of Things (IoT) has emerged as a paradigm over the last few years as a result of the tight integration of the computing and the physical world. The requirement of remote sensing makes low-power wireless sensor networks one of the key enabling technologies of IoT. These networks encompass several challenges, especially in communication and networking, due to their inherent constraints of low-power features, deployment in harsh and lossy environments, and limited computing and storage resources. The IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) [1] was proposed by the IETF ROLL (Routing Over Low-power Lossy links) working group and is currently adopted as an IETF standard in the RFC 6550 since March 2012. Although RPL greatly satisfied the requirements of low-power and lossy sensor networks, several issues remain open for improvement and specification, in particular with respect to Quality of Service (QoS) guarantees and support for mobility. In this paper, we focus mainly on the RPL routing protocol. We propose some enhancements to the standard specification in order to provide QoS guarantees for static as well as mobile LLNs. For this purpose, we propose OF-FL (Objective Function based on Fuzzy Logic), a new objective function that overcomes the limitations of the standardized objective functions that were designed for RPL by considering important link and node metrics, namely end-to-end delay, number of hops, ETX (Expected transmission count) and LQL (Link Quality Level). In addition, we present the design of Co-RPL, an extension to RPL based on the corona mechanism that supports mobility in order to overcome the problem of slow reactivity to frequent topology changes and thus providing a better quality of service mainly in dynamic networks application. Performance evaluation results show that both OF-FL and Co-RPL allow a great improvement when compared to the standard specification, mainly in terms of packet loss ratio and average network latency. 2015 Elsevier B.V. Al

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Transformers may be classified according to dielectric insulation material as follows: • Oil-filled transformers • Dry type transformers

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Cloud data centers have been progressively adopted in different scenarios, as reflected in the execution of heterogeneous applications with diverse workloads and diverse quality of service (QoS) requirements. Virtual machine (VM) technology eases resource management in physical servers and helps cloud providers achieve goals such as optimization of energy consumption. However, the performance of an application running inside a VM is not guaranteed due to the interference among co-hosted workloads sharing the same physical resources. Moreover, the different types of co-hosted applications with diverse QoS requirements as well as the dynamic behavior of the cloud makes efficient provisioning of resources even more difficult and a challenging problem in cloud data centers. In this paper, we address the problem of resource allocation within a data center that runs different types of application workloads, particularly CPU- and network-intensive applications. To address these challenges, we propose an interference- and power-aware management mechanism that combines a performance deviation estimator and a scheduling algorithm to guide the resource allocation in virtualized environments. We conduct simulations by injecting synthetic workloads whose characteristics follow the last version of the Google Cloud tracelogs. The results indicate that our performance-enforcing strategy is able to fulfill contracted SLAs of real-world environments while reducing energy costs by as much as 21%.