972 resultados para Gadolinium Anomalies
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Despite recent therapeutic improvements, the clinical course of diffuse large B-cell lymphoma (DLBCL) still differs considerably among patients. We conducted this retrospective multi-centre study to evaluate the impact of genomic aberrations detected using a high-density genome wide-single nucleotide polymorphism-based array on clinical outcome in a population of DLBCL patients treated with R-CHOP-21 (rituximab, cyclophosphamide, doxorubicine, vincristine and prednisone repeated every 21_d). 166 DNA samples were analysed using the GeneChip Human Mapping 250K NspI. Genomic anomalies were analysed regarding their impact on the clinical course of 124 patients treated with R-CHOP-21. Unsupervised clustering was performed to identify genetically related subgroups of patients with different clinical outcomes. Twenty recurrent genetic lesions showed an impact on the clinical course. Loss of genomic material at 8p23.1 showed the strongest statistical significance and was associated with additional aberrations, such as 17p- and 15q-. Unsupervised clustering identified five DLBCL clusters with distinct genetic profiles, clinical characteristics and outcomes. Genetic features and clusters, associated with a different outcome in patients treated with R-CHOP, have been identified by arrayCGH.
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Bax's Fourth is the only one of his symphonies that alludes explicitly to an extramusical stimulus: 'a rough sea at flood-tide on a sunny day'. This essay contextualizes Bax's frequent use of sea imagery throughout his oeuvre, noting in particular the peripherality of the composer's observation of the sea from the liminal position of the shore. It then considers how the idea of the sea in the Fourth Symphony is related to several musical features (motivic coherence, thematic expansion, formal anomalies), and how the sea is central to the underlying conflict in the work between nature and humanity.
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Climate change during the last deglaciation was strongly influenced by the „bipolar seesaw‟, producing antiphase climate responses between the North and South Atlantic. However, mounting evidence demands refinements of this model, with the occurrence of abrupt events in southern low to mid latitudes occurring in-phase with North Atlantic climate. Improved constraints on the north-south phasing and spatial extent of these events are therefore critical to
understanding the mechanisms that propagate abrupt events within the climate system. We present a 19,400 year multi-proxy record of climate change obtained from a rock hyrax midden in southernmost Africa. Arid anomalies in phase with the Younger Dryas and 8.2 ka events are apparent, indicating a clear shift in the influence of the bipolar seesaw, which diminished as the Earth warmed, and was succeeded after ~14.6 ka by the emergence of a dominant interhemispheric atmospheric teleconnection.
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Cloud data centres are critical business infrastructures and the fastest growing service providers. Detecting anomalies in Cloud data centre operation is vital. Given the vast complexity of the data centre system software stack, applications and workloads, anomaly detection is a challenging endeavour. Current tools for detecting anomalies often use machine learning techniques, application instance behaviours or system metrics distribu- tion, which are complex to implement in Cloud computing environments as they require training, access to application-level data and complex processing. This paper presents LADT, a lightweight anomaly detection tool for Cloud data centres that uses rigorous correlation of system metrics, implemented by an efficient corre- lation algorithm without need for training or complex infrastructure set up. LADT is based on the hypothesis that, in an anomaly-free system, metrics from data centre host nodes and virtual machines (VMs) are strongly correlated. An anomaly is detected whenever correlation drops below a threshold value. We demonstrate and evaluate LADT using a Cloud environment, where it shows that the hosting node I/O operations per second (IOPS) are strongly correlated with the aggregated virtual machine IOPS, but this correlation vanishes when an application stresses the disk, indicating a node-level anomaly.
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There is considerable interest in the use of heavy atom nanoparticles as theranostic contrast agents due to their high radiation cross-section compared to soft tissue. However, published studies have primarily focused on applications of gold nanoparticles. This study applies Monte Carlo radiation transport modelling using Geant4 to evaluate the macro- and micro-scale radiation dose enhancement following X-ray irradiation with both imaging and therapeutic energies on nanoparticles consisting of stable elements heavier than silicon. An approach based on the Local Effect Model was also used to assess potential biological impacts. While macroscopic dose enhancement is well predicted by simple absorption cross-sections, nanoscale dose deposition has a much more complex dependency on atomic number, with local maxima around germanium (Z = 32) and gadolinium (Z = 64), driven by variations in secondary Auger electron spectra, which translate into significant variations in biological effectiveness. These differences may provide a valuable tool for predicting and elucidating fundamental mechanisms of these agents as they move towards clinical application.
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How can we correlate neural activity in the human brain as it responds to words, with behavioral data expressed as answers to questions about these same words? In short, we want to find latent variables, that explain both the brain activity, as well as the behavioral responses. We show that this is an instance of the Coupled Matrix-Tensor Factorization (CMTF) problem. We propose Scoup-SMT, a novel, fast, and parallel algorithm that solves the CMTF problem and produces a sparse latent low-rank subspace of the data. In our experiments, we find that Scoup-SMT is 50-100 times faster than a state-of-the-art algorithm for CMTF, along with a 5 fold increase in sparsity. Moreover, we extend Scoup-SMT to handle missing data without degradation of performance. We apply Scoup-SMT to BrainQ, a dataset consisting of a (nouns, brain voxels, human subjects) tensor and a (nouns, properties) matrix, with coupling along the nouns dimension. Scoup-SMT is able to find meaningful latent variables, as well as to predict brain activity with competitive accuracy. Finally, we demonstrate the generality of Scoup-SMT, by applying it on a Facebook dataset (users, friends, wall-postings); there, Scoup-SMT spots spammer-like anomalies.
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Cloud data centres are implemented as large-scale clusters with demanding requirements for service performance, availability and cost of operation. As a result of scale and complexity, data centres typically exhibit large numbers of system anomalies resulting from operator error, resource over/under provisioning, hardware or software failures and security issus anomalies are inherently difficult to identify and resolve promptly via human inspection. Therefore, it is vital in a cloud system to have automatic system monitoring that detects potential anomalies and identifies their source. In this paper we present a lightweight anomaly detection tool for Cloud data centres which combines extended log analysis and rigorous correlation of system metrics, implemented by an efficient correlation algorithm which does not require training or complex infrastructure set up. The LADT algorithm is based on the premise that there is a strong correlation between node level and VM level metrics in a cloud system. This correlation will drop significantly in the event of any performance anomaly at the node-level and a continuous drop in the correlation can indicate the presence of a true anomaly in the node. The log analysis of LADT assists in determining whether the correlation drop could be caused by naturally occurring cloud management activity such as VM migration, creation, suspension, termination or resizing. In this way, any potential anomaly alerts are reasoned about to prevent false positives that could be caused by the cloud operator’s activity. We demonstrate LADT with log analysis in a Cloud environment to show how the log analysis is combined with the correlation of systems metrics to achieve accurate anomaly detection.
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A presente dissertação teve como objectivo a síntese, caracterização e estudo das propriedades luminescentes de complexos livres e/ou imobilizados no material mesoporoso MCM-41. Na primeira parte estudaram-se complexos do tipo, Eu(NTA)3L2, onde NTA corresponte ao β-dicetonato 1-(2-naftoil)-3,3,3-trifluoro-acetonato, e L2 aos ligandos bidentados de azoto derivados do pirazolilpiridina e L aos ligandos monodentados (etil-4-piridilacetato, água, piridina e metilfenilsulfóxido). Alguns destes ligandos foram imobilizados e/ou impregnados no MCM-41, tendo-se posteriormente complexado o fragmento Eu(NTA)3. Na segunda parte estudou-se o efeito do contra-ião no complexo C[Eu(NTA)4], usando os catiões (C): tetrabutilamónio [NBu4]+, 1-butil-3-metilimidazolilo [C4mim]+ e 1-butil-3-metilpiridínio [C4mpy]+. O anião [Eu(NTA)4]- foi imobilizado no MCM-41 derivatizado com grupos 1-propil-3-metilimidazolilo. Todos os complexos preparados foram caracterizados pelas técnicas de análise elementar, termogravimetria, espectroscopias vibracionais (Infravermelho e Raman) e de ressonância magnética nuclear, e os materiais preparados foram adicionalmente analisados por difracção de raios-X de pós e ressonância magnética nuclear de estado sólido. Foram também estudadas as propriedades fotoluminescentes dos compostos, e para facilitar a análise dos resultados, nalguns casos foram preparados e caracterizados os compostos análogos de gadolínio.
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Neste trabalho é desenvolvido um método de detecção de anomalias, baseado no mecanismo da frustração celular. Este método é capaz de detectar com grande precisão desvios de um comportamento característico de um sistema complexo. Estes desvios podem ser devidos a intrusões ou a anomalias no seu funcionamento. O método propõe ainda uma compreensão alternativa de diversos fenómenos observados em Imunologia.
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Solid oxide fuel (SOFCs) and electrolyzer (SOECs) cells have been promoted as promising technologies for the stabilization of fuel supply and usage in future green energy systems. SOFCs are devices that produce electricity by the oxidation of hydrogen or hydrocarbon fuels with high efficiency. Conversely, SOECs can offer the reverse reaction, where synthetic fuels can be generated by the input of renewable electricity. Due to this similar but inverse nature of SOFCs and SOECs, these devices have traditionally been constructed from comparable materials. Nonetheless, several limitations have hindered the entry of SOFCs and SOECs into the marketplace. One of the most debilitating is associated with chemical interreactions between cell components that can lead to poor longevities at high working temperatures and/or depleted electrochemcial performance. Normally such interreactions are countered by the introduction of thin, purely ionic conducting, buffer layers between the electrode and electrolyte interface. The objective of this thesis is to assess if possible improvements in electrode kinetics can also be obtained by modifying the transport properties of these buffer layers by the introduction of multivalent cations. The introduction of minor electronic conductivity in the surface of the electrolyte material has previously been shown to radically enhance the electrochemically active area for oxygen exchange, reducing polarization resistance losses. Hence, the current thesis aims to extend this knowledge to tailor a bi-functional buffer layer that can prevent chemical interreaction while also enhancing electrode kinetics.The thesis selects a typical scenario of an yttria stabilized zirconia electrolyte combined with a lanthanide containing oxygen electrode. Gadolinium, terbium and praseodymium doped cerium oxide materials have been investigated as potential buffer layers. The mixed ionic electronic conducting (MIEC) properties of the doped-cerium materials have been analyzed and collated. A detailed analysis is further presented of the impact of the buffer layers on the kinetics of the oxygen electrode in SOFC and SOEC devices. Special focus is made to assess for potential links between the transport properties of the buffer layer and subsequent electrode performance. The work also evaluates the electrochemical performance of different K2NiF4 structure cathodes deposited onto a peak performing Pr doped-cerium buffer layer, the influence of buffer layer thickness and the Pr content of the ceria buffer layer. It is shown that dramatic increases in electrode performance can be obtained by the introduction of MIEC buffer layers, where the best performances are shown to be offered by buffer layers of highest ambipolar conductivity. These buffer layers are also shown to continue to offer the bifunctional role to protect from unwanted chemical interactions at the electrode/electrolyte interface.
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Dissertação de Mestrado, Biologia Marinha, Especialização em Biotecnologia Marinha, Faculdade de Ciências do Mar e do Ambiente, Universidade do Algarve, 2008
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Dissertação de mestrado, Educação Especial - Domínios Cognitivo e Motor, Escola Superior de Educação e Comunicação, Universidade do Algarve, 2015
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Ce mémoire est le fruit d’une réflexion portant sur la pulsion qui m’habite de sans cesse créer de nouveaux objets, ainsi que sur les rapports que j’entretiens avec mes objets d’art et les objets manufacturés qui nous entourent. Elle s’est construite peu à peu, dans un aller-retour entre production à l’atelier et retour critique. Au cours des deux dernières années, j’ai cherché, par l’entremise de sculptures et d’œuvres installatives, à comprendre ma fascination pour le fait de vivre dans une société dont l’activité fondamentale semble être une transformation constante d’énergie et de matière. Dans un premier temps, j’y dresse plusieurs constats relatifs à mon positionnement comme artiste face aux différents discours sur l’art. Essentiellement, je développe l’idée que je n’ai pas besoin de régler le cas de l’art, d’un point de vue théorique, pour faire de l’art. Dans la seconde partie, je réfléchis sur différentes caractéristiques de ma démarche : le fait que je cherche à créer des objets qui s’insèrent et se comportent dans le réel comme des anomalies, que ma démarche est perméable à tout ce qui constitue mon expérience de vie, ou encore que j’active en manipulant de façon intuitive du matériel chargé de significations multiples. Dans un troisième temps, je présente la nature de l’imaginaire qui m’habite et explique la façon dont ce dernier influence ma manière de faire de l’art et la morphologie de mes œuvres. Vient ensuite un chapitre dans lequel je me penche sur mon passé de designer industriel et de musicien, dans lequel j’illustre la façon dont ces deux expériences de création, bien que fort différentes de l’art contemporain, influencent ma pratique actuelle. Finalement, je ferai une représentation schématisée des concepts, des méthodes et des dynamiques à l’œuvre dans mon processus créatif. Cette multitude de regards différents sur ma pratique permettra de faire ressortir, tout au long de ce mémoire, que ma démarche est nourrie par une série de tensions que je cherche à réconcilier, sans vraiment y parvenir, et que c’est cette impossibilité qui me pousse constamment à créer des nouvelles œuvres. Bien que mes œuvres soient souvent interprétées comme des commentaires sur l’actualité, le présent mémoire n’a pas comme point central l’actualité, mais bien mon travail de création, la façon dont il fonctionne, ce à quoi il est relié, etc. Je ne me pose pas la question « pourquoi et comment transformons-nous l’énergie et la matière? », mais plutôt « comment puis-je transformer le monde en transformant autrement l’énergie et la matière? »
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L’Ataxie spastique autosomale récessive de Charlevoix-Saguenay (ARSACS) est un syndrome héréditaire précoce caractérisé par un tableau clinique particulier incluant des anomalies oculaires. Quatorze ARSACS et 36 témoins sains ont été suivis prospectivement durant 20 mois et ont subi différents tests neuro-ophtalmologiques et des mesures par tomographie par cohérence optique. Des augmentations de l’épaisseur moyenne de la couche de fibres nerveuses (mRNFL), de l’épaisseur fovéolaire centrale et de l’épaisseur moyenne du cube maculaire (CAT) ont été mises en évidence chez les ARSACS en comparaison avec les témoins (p<0,0001 à toutes les séances). Une différence cliniquement significative a été observée dans l’évolution au cours du suivi des épaisseurs de la mRNFL et la CAT des ARSACS par rapport aux contrôles (p=0,030, p=0,026 respectivement), et ces paramètres étaient inversement corrélés avec le degré de sévérité de la maladie, suggérant une diminution d’épaisseur de la mRNFL et de la CAT à mesure que progresse la maladie.
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Tese de doutoramento (co-tutela), Ciências Geofísicas e da Geoinformação (Geofísica), Université de Toulouse, Universidade de Lisboa, 2013