843 resultados para Relevance feature


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We study the timing and spectral properties of the low-magnetic field, transient magnetar SWIFT J1822.3−1606 as it approached quiescence. We coherently phase-connect the observations over a time-span of ∼500 d since the discovery of SWIFT J1822.3−1606 following the Swift-Burst Alert Telescope (BAT) trigger on 2011 July 14, and carried out a detailed pulse phase spectroscopy along the outburst decay. We follow the spectral evolution of different pulse phase intervals and find a phase and energy-variable spectral feature, which we interpret as proton cyclotron resonant scattering of soft photon from currents circulating in a strong (≳1014 G) small-scale component of the magnetic field near the neutron star surface, superimposed to the much weaker (∼3 × 1013 G) magnetic field. We discuss also the implications of the pulse-resolved spectral analysis for the emission regions on the surface of the cooling magnetar.

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The Architecture and Household Trade Union built nearly 2,000 subsidized dwellings in Albacete from 1941 to 1971. It was the responsible entity from the end of the Civil War until the beginning of Democracy of the social policy programs in Spain. Later on, and together with the National Housing Institute, were responsible for the construction activity. Its limited budget, scarcity of technical and human resources and an urgent need for new housing developments, constituted the basis for producing a vast housing market of low construction qualities. However, thanks to the true architectonic expertise of some of the professionals, some of the developments were designed with a clear urban strategy and in direct relation with the city, which characterizes them to be studied and conserved. This is the case for the selected development for the analysis, the urban complex of the 500 dwellings in Albacete, the Hermanos Falcó Neighborhood. Designed and built between 1963, Alfonso Crespo and Adolfo Gil architects, and 1977 second reformed project by the architect Fernando Rodríguez. It is characterized by its layout on the territory, its controlled relation with the city and its different types of open blocks. Above all, its spatial and human scale strengths, directly related to the European post-war proposals, have to be emphasized; although its technical deficiencies affect the interior quality of the houses. This paper examines its virtues and failures and proposes, using current tools, its renovation. This proposal main aims are to extend its lifetime and develop the particular and urban sustainability levels.

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In many classification problems, it is necessary to consider the specific location of an n-dimensional space from which features have been calculated. For example, considering the location of features extracted from specific areas of a two-dimensional space, as an image, could improve the understanding of a scene for a video surveillance system. In the same way, the same features extracted from different locations could mean different actions for a 3D HCI system. In this paper, we present a self-organizing feature map able to preserve the topology of locations of an n-dimensional space in which the vector of features have been extracted. The main contribution is to implicitly preserving the topology of the original space because considering the locations of the extracted features and their topology could ease the solution to certain problems. Specifically, the paper proposes the n-dimensional constrained self-organizing map preserving the input topology (nD-SOM-PINT). Features in adjacent areas of the n-dimensional space, used to extract the feature vectors, are explicitly in adjacent areas of the nD-SOM-PINT constraining the neural network structure and learning. As a study case, the neural network has been instantiate to represent and classify features as trajectories extracted from a sequence of images into a high level of semantic understanding. Experiments have been thoroughly carried out using the CAVIAR datasets (Corridor, Frontal and Inria) taken into account the global behaviour of an individual in order to validate the ability to preserve the topology of the two-dimensional space to obtain high-performance classification for trajectory classification in contrast of non-considering the location of features. Moreover, a brief example has been included to focus on validate the nD-SOM-PINT proposal in other domain than the individual trajectory. Results confirm the high accuracy of the nD-SOM-PINT outperforming previous methods aimed to classify the same datasets.

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PAWP, a candidate sperm-borne oocyte activating factor, induces oocyte activation and acts upstream of the calcium signalling pathway, however, PAWP’s downstream signalling pathway in oocyte cytoplasm remains to be uncovered. Data from our lab suggested that the interacting partner of PAWP, at least in the frog (Xenopus laevis) model may be YAP, a highly expressed protein in amphibian and mammalian oocytes. Therefore, the objectives of this study were to confirm that PAWP’s predominant binding partner in Xenopus laevis oocyte is YAP; to determine if mammalian oocyte activation is also dependent on PAWP-YAP interaction; and to verify that the PAWP-YAP interaction during oocyte activation is dependent on the WWI domain module. By immunohistochemistry, YAP was localized predominantly in the cytosol of metaphase II-arrested Xenopus laevis oocytes, where presumably the PAWP-YAP interaction occurs. Utilizing Far Western blotting, YAP was identified as the predominant binding partner of PAWP, in metaphase II-arrested frog (Xenopus laevis), swine (Sus scrofa) and mouse (mus musculus) oocytes. The specificity of this interaction was then tested on Far Western blotting of mouse ovarian and oocyte cytosolic extracts, by competition with both wild-type and point-mutated recombinant WWI domains derived from YAP. The removal of GST from the wild-type WWI-GST fusion protein was a requirement for effective blockage of WWI module interaction between PAWP and YAP. As expected, the mutated WWI domain was ineffective in inhibiting the PAWP-YAP interaction. To conclude, this study identified YAP as the predominant binding partner of PAWP in both amphibian and mammalian oocytes, and showed this interaction is dependent on the WWI modular interaction. The results allow us to test the functional relevance of this WWI modular interaction during oocyte activation in vivo, in the future.

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Tese de mestrado, Biologia Molecular e Genética, Universidade de Lisboa, Faculdade de Ciências, 2016

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Naïve FoxP3-expressing regulatory T-cells (Tregs) are essential to control immune responses via continuous replenishment of the activated-Treg pool with thymus-committed suppressor cells. The mechanisms underlying naïve-Treg maintenance throughout life in face of the age-associated thymic involution remain unclear. We found that in adults thymectomized early in infancy the naïve-Treg pool is remarkably well preserved, in contrast to conventional naïve CD4 T-cells. Naïve-Tregs featured high levels of cycling and pro-survival markers, even in healthy individuals, and contrasted with other circulating naïve/memory CD4 T-cell subsets in terms of their strong γc-cytokine-dependent signaling, particularly in response to IL-7. Accordingly, ex-vivo stimulation of naïve-Tregs with IL-7 induced robust cytokine-dependent signaling, Bcl-2 expression, and phosphatidylinositol 3-kinase (PI3K)-dependent proliferation, whilst preserving naïve phenotype and suppressive capacity. Altogether, our data strongly implicate IL-7 in the thymus-independent long-term survival of functional naïve-Tregs, and highlight the potential of targeting the IL-7 pathway to modulate Tregs in different clinical settings.

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Tese de doutoramento, Educação (Psicologia da Educação), Universidade de Lisboa, Instituto de Educação, 2016

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Tese de doutoramento, Educação (Formação de Adultos), Universidade de Lisboa, Instituto de Educação, 2016

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La recherche d'informations s'intéresse, entre autres, à répondre à des questions comme: est-ce qu'un document est pertinent à une requête ? Est-ce que deux requêtes ou deux documents sont similaires ? Comment la similarité entre deux requêtes ou documents peut être utilisée pour améliorer l'estimation de la pertinence ? Pour donner réponse à ces questions, il est nécessaire d'associer chaque document et requête à des représentations interprétables par ordinateur. Une fois ces représentations estimées, la similarité peut correspondre, par exemple, à une distance ou une divergence qui opère dans l'espace de représentation. On admet généralement que la qualité d'une représentation a un impact direct sur l'erreur d'estimation par rapport à la vraie pertinence, jugée par un humain. Estimer de bonnes représentations des documents et des requêtes a longtemps été un problème central de la recherche d'informations. Le but de cette thèse est de proposer des nouvelles méthodes pour estimer les représentations des documents et des requêtes, la relation de pertinence entre eux et ainsi modestement avancer l'état de l'art du domaine. Nous présentons quatre articles publiés dans des conférences internationales et un article publié dans un forum d'évaluation. Les deux premiers articles concernent des méthodes qui créent l'espace de représentation selon une connaissance à priori sur les caractéristiques qui sont importantes pour la tâche à accomplir. Ceux-ci nous amènent à présenter un nouveau modèle de recherche d'informations qui diffère des modèles existants sur le plan théorique et de l'efficacité expérimentale. Les deux derniers articles marquent un changement fondamental dans l'approche de construction des représentations. Ils bénéficient notamment de l'intérêt de recherche dont les techniques d'apprentissage profond par réseaux de neurones, ou deep learning, ont fait récemment l'objet. Ces modèles d'apprentissage élicitent automatiquement les caractéristiques importantes pour la tâche demandée à partir d'une quantité importante de données. Nous nous intéressons à la modélisation des relations sémantiques entre documents et requêtes ainsi qu'entre deux ou plusieurs requêtes. Ces derniers articles marquent les premières applications de l'apprentissage de représentations par réseaux de neurones à la recherche d'informations. Les modèles proposés ont aussi produit une performance améliorée sur des collections de test standard. Nos travaux nous mènent à la conclusion générale suivante: la performance en recherche d'informations pourrait drastiquement être améliorée en se basant sur les approches d'apprentissage de représentations.

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Over the last decades, a constant feature of the relations between the European Union (EU) and the countries in its neighbourhood has been the export of European law. Achieved through bilateral or multilateral agreements, the export of law has led to the ‘juridification’ of external policy. The energy sector is in the vanguard of this development. European energy law has been made applicable to third countries through the European Economic Area (EEA) and, most important for the European Neighbourhood Policy (ENP), the Energy Community. Bilateral agreements of relevance for energy include the (draft) Association Agreement with Ukraine which was rejected in November 2013 and came on the agenda again following a revolution in the country. Geopolitics has played and continues to play an eminent role in this respect. What does that mean for the export of European law to neighbouring countries? This paper argues that the export of European (energy) law does not only remain possible but is preferable to purely diplomatic relations between the EU and its neighbours if certain conditions are fulfilled. Based on the experience in the EEA and the Energy Community, multilateral integration agreements can be successful if they offer a well-designed institutional and procedural architecture based on mutual commitments, extend the benefits of the internal market to the participating third countries and create ‘win-win’ situations in satisfying also the participating third countries' vital interests in return for undergoing the hardship of economic reforms.