17 resultados para order-winner
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Background/Aims: Unconjugated bilirubin (UCB) impairs crucial aspects of cell function and induces apoptosis in primary cultured neurones. While mechanisms of cytotoxicity begin to unfold, mitochondria appear as potential primary targets. Methods: We used electron paramagnetic resonance spectroscopy analysis of isolated rat mitochondria to test the hypothesis that UCB physically interacts with mitochondria to induce structural membrane perturbation, leading to increased permeability, and subsequent release of apoptotic factors. Results: Our data demonstrate profound changes on mitochondrial membrane properties during incubation with UCB, including modified membrane lipid polarity and fluidity (P , 0:01), as well as disrupted protein mobility(P , 0:001). Consistent with increased permeability, cytochrome c was released from the intermembrane space(P , 0:01), perhaps uncoupling the respiratory chain and further increasing oxidative stress (P , 0:01). Both ursodeoxycholate, a mitochondrial-membrane stabilising agent, and cyclosporine A, an inhibitor of the permeability transition, almost completely abrogated UCB-induced perturbation. Conclusions: UCB directly interacts with mitochondria influencing membrane lipid and protein properties, redox status, and cytochrome c content. Thus, apoptosis induced by UCB may be mediated, at least in part, by physical perturbation of the mitochondrial membrane. These novel findings should ultimately prove useful to our evolving understanding of UCB cytotoxicity.
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Signal Processing, vol. 86, nº 10
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Glasgow Mathematical Journal, nº 47 (2005), pg. 413-424
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Semigroup Forum vol. 68 (2004), p. 335–356
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Communications in Algebra
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European Master Human Rights and Democratisation
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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação
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Dissertação para obtenção do Grau de Doutor em Estatística e Gestão do Risco, especialidade em Estatística
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
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Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial
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Three texts were prepared for delivery at the first honorary doctorate awarded simultaneously by three Lisbon universities on 27 February, 2012: an introduction, a lecture and a comment. The event included the award of member of the Lisbon Academy of Science (ACL) by Manuel Jacinto Nunes, dean of the economics and finance section of ACL who proposed his name and Olivier Blanchard’s on the 30th anniversary of James Tobin receiving an honorary doctorate from Nova University. On 24 February , Paul Krugman visited ACL and participated in a session of the project dubbed “Letter to the lusofonia Queen”. Since this project is promoted by Nova SBE’s Center for Globalization and Governance and has been featured in some of the graduate courses, a short note on the meeting is included in annex. On 15 June, the three universities authorized an edition in Portuguese and donated the copyrights to a student award on “Krugman economics”, in a way still to be determined by the editor. The lecture and the comment will be translated as soon as a suitable publisher is found. Since a lot of the teaching at Nova SBE is in English, it seemed appropriate to reproduce the original texts in the order in which they were presented. A lively question and answer period was also recorded by Nova TV and should be made available in the book, together with highlights of the media coverage. Introduced as a “militant economist”, he speaks about a crisis “his mind loves but does not let the heart forget the poor and the unemployed”. The Nobel prize winner described as a“progressist pessimist of the world economy” concludes with a severe indictment of the profession. “In normal times, when things are going pretty well, the world can function reasonably well without professional economic advice. It’s in times of crisis, when practical experience suddenly proves useless and events are beyond anyone’s normal experience, that we need professors with their models to light the path forward. And when the moment came, we failed”. The comment, by the official responsible for Paul Krugman’s mission to Portugal in 1976, contains an equally dire prediction: “I would very much like to see in the near future the weakening of the influence not only of freshwater economists but also of their conservative European followers. But I fear that this will not happen until we find ourselves in a more calamitous situation than at present”. Fortunately Silva Lopes closes in the hope “that the ideas of Paul Krugman will soon have more influence in policy makers than at present seems to be the case”.
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In the recent past, hardly anyone could predict this course of GIS development. GIS is moving from desktop to cloud. Web 2.0 enabled people to input data into web. These data are becoming increasingly geolocated. Big amounts of data formed something that is called "Big Data". Scientists still don't know how to deal with it completely. Different Data Mining tools are used for trying to extract some useful information from this Big Data. In our study, we also deal with one part of these data - User Generated Geographic Content (UGGC). The Panoramio initiative allows people to upload photos and describe them with tags. These photos are geolocated, which means that they have exact location on the Earth's surface according to a certain spatial reference system. By using Data Mining tools, we are trying to answer if it is possible to extract land use information from Panoramio photo tags. Also, we tried to answer to what extent this information could be accurate. At the end, we compared different Data Mining methods in order to distinguish which one has the most suited performances for this kind of data, which is text. Our answers are quite encouraging. With more than 70% of accuracy, we proved that extracting land use information is possible to some extent. Also, we found Memory Based Reasoning (MBR) method the most suitable method for this kind of data in all cases.
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Field Lab Entrepreneurial Innovative Ventures
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Despite the extensive literature in finding new models to replace the Markowitz model or trying to increase the accuracy of its input estimations, there is less studies about the impact on the results of using different optimization algorithms. This paper aims to add some research to this field by comparing the performance of two optimization algorithms in drawing the Markowitz Efficient Frontier and in real world investment strategies. Second order cone programming is a faster algorithm, appears to be more efficient, but is impossible to assert which algorithm is better. Quadratic Programming often shows superior performance in real investment strategies.