Implementation of zonal control algorithms in adaptive optical systems with sparse control matrices

Miralls deformables més i més grans, amb cada cop més actuadors estan sent utilitzats actualment en aplicacions d'òptica adaptativa. El control dels miralls amb centenars d'actuadors és un tema de gran interès, ja que les tècniques de control clàssiques basades en la seudoinversa de la matriu de control del sistema es tornen massa lentes quan es tracta de matrius de dimensions tan grans. En aquesta tesi doctoral es proposa un mètode per l'acceleració i la paral.lelitzacó dels algoritmes de control d'aquests miralls, a través de l'aplicació d'una tècnica de control basada en la reducció a zero del components més petits de la matriu de control (sparsification), seguida de l'optimització de l'ordenació dels accionadors de comandament atenent d'acord a la forma de la matriu, i finalment de la seva posterior divisió en petits blocs tridiagonals. Aquests blocs són molt més petits i més fàcils de fer servir en els càlculs, el que permet velocitats de càlcul molt superiors per l'eliminació dels components nuls en la matriu de control. A més, aquest enfocament permet la paral.lelització del càlcul, donant una com0onent de velocitat addicional al sistema. Fins i tot sense paral. lelització, s'ha obtingut un augment de gairebé un 40% de la velocitat de convergència dels miralls amb només 37 actuadors, mitjançant la tècnica proposada. Per validar això, s'ha implementat un muntatge experimental nou complet , que inclou un modulador de fase programable per a la generació de turbulència mitjançant pantalles de fase, i s'ha desenvolupat un model complert del bucle de control per investigar el rendiment de l'algorisme proposat. Els resultats, tant en la simulació com experimentalment, mostren l'equivalència total en els valors de desviació després de la compensació dels diferents tipus d'aberracions per als diferents algoritmes utilitzats, encara que el mètode proposat aquí permet una càrrega computacional molt menor. El procediment s'espera que sigui molt exitós quan s'aplica a miralls molt grans.

From Translation to Rewriting : the Interplay of Text and Image in The Fairy Tales of Charles Perrault and The Bloody Chamber and Other Stories

Abstract :This article examines the interplay of text and image in The Fairy Tales of Charles Perrault (1977), translated by Angela Carter and illustrated by Martin Ware, as a form of intersemiotic dialogue that sheds new light on Carter's work. It argues that Ware's highly original artwork based on the translation not only calls into question the association of fairy tales with children's literature (which still characterizes Carter's translation), but also captures an essential if heretofore neglected aspect of Carter's creative process, namely the dynamics between translating, illustrating and rewriting classic tales. Several elements from Ware's illustrations are indeed taken up and elaborated on in The Bloody Chamber and Other Stories (1979), the collection of "stories about fairy stories" that made Carter famous. These include visual details and strategies that she transposed to the realm of writing, giving rise to reflections on the relation between visuality and textuality.RésuméCet article considère l'interaction du texte et de l'image dans les contes de Perrault traduits par Angela Carter et illustrés par Martin Ware (The Fairy Tales of Charles Perrault, 1977) comme une forme de dialogue intersémiotique particulièrement productif. Il démontre que les illustrations originales de Ware ne mettent pas seulement en question l'assimilation des contes à la littérature de jeunesse (qui est encore la perspective adoptée par la traductrice dans ce livre), mais permettent aussi de saisir un aspect essentiel bien que jusque là ignoré du procession de création dans l'oeuvre de Carter, à savoir la dynamique qui lie la traduction, l'illustration et la réécriture des contes classiques. Plusieurs éléments des illustrations de Ware sont ainsi repris et élaborés dans The Bloody Chamber and Other Stories (1979), la collection de "stories about fairy stories" qui rendit Carter célèbre. La transposition de détails et de stratégies visuelles dans l'écriture donnent ainsi l'occasion de réflexions sur les rapports entre la visualité et la textualité.

Birth and adaptive evolution of a hominoid gene that supports high neurotransmitter flux.

The enzyme glutamate dehydrogenase (GDH) is important for recycling the chief excitatory neurotransmitter, glutamate, during neurotransmission. Human GDH exists in housekeeping and brain-specific isotypes encoded by the genes GLUD1 and GLUD2, respectively. Here we show that GLUD2 originated by retroposition from GLUD1 in the hominoid ancestor less than 23 million years ago. The amino acid changes responsible for the unique brain-specific properties of the enzyme derived from GLUD2 occurred during a period of positive selection after the duplication event.

Weighted Shape-based Averaging with Neighborhood Prior Model for Multiple Atlas Fusion-based Medical Image Segmentation

In medical imaging, merging automated segmentations obtained from multiple atlases has become a standard practice for improving the accuracy. In this letter, we propose two new fusion methods: "Global Weighted Shape-Based Averaging" (GWSBA) and "Local Weighted Shape-Based Averaging" (LWSBA). These methods extend the well known Shape-Based Averaging (SBA) by additionally incorporating the similarity information between the reference (i.e., atlas) images and the target image to be segmented. We also propose a new spatially-varying similarity-weighted neighborhood prior model, and an edge-preserving smoothness term that can be used with many of the existing fusion methods. We first present our new Markov Random Field (MRF) based fusion framework that models the above mentioned information. The proposed methods are evaluated in the context of segmentation of lymph nodes in the head and neck 3D CT images, and they resulted in more accurate segmentations compared to the existing SBA.

The role of energetic value in dynamic brain response adaptation during repeated food image viewing.

The repeated presentation of simple objects as well as biologically salient objects can cause the adaptation of behavioral and neural responses during the visual categorization of these objects. Mechanisms of response adaptation during repeated food viewing are of particular interest for better understanding food intake beyond energetic needs. Here, we measured visual evoked potentials (VEPs) and conducted neural source estimations to initial and repeated presentations of high-energy and low-energy foods as well as non-food images. The results of our study show that the behavioral and neural responses to food and food-related objects are not uniformly affected by repetition. While the repetition of images displaying low-energy foods and non-food modulated VEPs as well as their underlying neural sources and increased behavioral categorization accuracy, the responses to high-energy images remained largely invariant between initial and repeated encounters. Brain mechanisms when viewing images of high-energy foods thus appear less susceptible to repetition effects than responses to low-energy and non-food images. This finding is likely related to the superior reward value of high-energy foods and might be one reason why in particular high-energetic foods are indulged although potentially leading to detrimental health consequences.

Monitoring of innate and adaptive immune responses in the context of human immunotherapy

Summary1 SummaryCancer patients have a better clinical outcome when their tumours display marked infiltration by memory Τ cells. Moreover, the overrepresentation of Th1 gene signatures in primary tumours correlates with favourable prognosis. Thus, vaccination to induce Τ cells capable of infiltrating and eradicating the tumour seems a promising strategy for the treatment of cancer. Here, I monitored CD4 Τ cell responses in melanoma patients vaccinated with the long synthetic peptides Melan- A16-35(A27L) and NY-ESO-179.108. Most of the patients developed strong and diverse peptide antigen specific CD4 Τ cell responses. Analysis of the fine specificity of CD4 Τ cell antigen recognition led to the identification of two new epitopes. The peptide Melan-A16_35(A27L) was delivered by virus-like particles (VLPs) derived from bacteriophage Οβ, which themselves displayed strong immunogenicity. I show evidence for induction of Οβ- and Melan-A specific CD4 Τ cell responses that developed a Th1 functional profile after repeated vaccination cycles. They also specifically released the chemokines CCL-3 and CCL-4, which play important roles in attracting CD8 Τ cells to the APC surface for priming and formation of Τ cell memory. We further found induction of robust humoral IgG responses upon VLP vaccination, and the lgG1-lgG4 isotype composition depended on the adjuvant used. Since heavy chain class switching largely dépends on the presence of CD4 Τ cell help, this result suggests that the adjuvant can influence the differentiation of elicited CD4 Τ cells, thereby contributing to the quality and function of both Β cells and CD8 Τ cells. The nature of the inflammatory processes in the tumour microenvironment can modulate CD8 Τ cell function. A collaboration was established for the investigation regulation of inflammasome activation in human primary monocytes. We identified IL- 4 and TGF-β as strong inhibitors of IL-1 β secretion, Indicating some level of regulation from effector Th2 and Treg responses. We further found a potent inhibition of inflammasome activation by type I interferon, and demonstrated in vivo inhibition of IL-1 β responses in monocytes from active multiple sclerosis patients under IFN-β therapy. This finding further offers a possible explanation for its success, which mechanism of action is still largely unclear. Interestingly, type I interferon is also being used as adjuvant treatment for tumour free metastatic cutaneous melanoma patients. While its clinical benefit has remained controversial, recent data suggest that the subset of patients with ulcerated primary melanoma lesions can benefit from this therapy. Future investigations will shed light on the implication of the inflammasome in this context, and may offer new strategies for improved adjuvant treatments of melanoma.2 RésuméLes patients atteints de cancer ont une meilleure chance de survie si leurs tumeurs s'avèrent être largement infiltrées par des cellules Τ mémoires. De plus, la surreprésentation d'une signature génique Th1 est en corrélation avec un pronostic favorable. Ainsi, la vaccination visant à induire des cellules Τ capables d'infiltrer et de détruire la tumeur parait être une stratégie prometteuse pour le traitement du cancer. Dans ce travail, j'ai procédé au monitoring de la réponse des cellules Τ CD4 dans des patients atteints de mélanome vaccinés avec les longs peptides synthétiques Melan-A16_35(A27L) et NY-ESO-179_108. Ces peptides représentent des antigènes tumoraux reconnus par des lymphocytes T. La majorité des patients a développé une réponse forte et diversifiée des cellules Τ CD4 spécifiques contre les peptides. L'analyse de la spécificité fine de la reconnaissance antigénique des cellules Τ CD4 nous a conduits à l'identification de deux nouveaux épitopes. Le peptide Melan-Aie. 35(A27L) a été délivré par des particules de type viral (VLPs) dérivés de bactériophages Qβ, qui ont eux-mêmes démontré une forte immunogénicité. Mon travail montre les preuves d'une induction de réponses spécifiques des cellules Τ CD4 contre les Qβ et Melan-A développant un profil fonctionnel Th1 après plusieurs cycles de vaccination. Elles secrètent aussi spécifiquement les chimiokines CCL-3 et CCL-4, qui jouent un rôle important dans l'attraction des cellules Τ CD8 à la surface des cellules présentatrices d'antigènes et contribuent ainsi à induire et former la mémoire cellulaire Τ CD8. Nous avons également remarqué une induction de fortes réponses humorales IgG après vaccination avec les VLPs, et que la composition des isotypes lgG1-lgG4 dépendait de l'adjuvant utilisé. Etant donné qu'une commutation de classe de la chaîne lourde dépend largement ùie l'aide des cellules Τ CD4, ce résultat suggère que l'adjuvant puisse influencer la différeritiation de cellules Τ CD4 en différent types, contribuant ainsi à la qualité et à la fonction des cellules Β et des cellules Τ CD8.La nature des processus d'inflammation dans le microenvironnement tumoral peut moduler la fonction des cellules Τ CD8. Une collaboration a été établie pour investiguer la régulation de l'activation de l'inflammasome dans des monocytes primaires humains. Nous avons identifié l'IL-4 et le TGF-β comme étant de puissants inhibiteurs de la sécrétion de IL-Ιβ, indiquant une certaine régulation de la réponse inflammatoire induite par les cellules Th2 et Τ régulatrices. Nous avons également trouvé une forte inhibition de l'activation de l'inflammasome par l'interféron type I, et nous avons démontré une inhibition in vivo de la réponse IL-1 β dans des monocytes de patients atteints d'une sclérose en plaque active sous traitement IFN-β. Ce résultat nous offre une possible explication du succès de cette thérapie, dont le mécanisme reste à ce jour encore largement obscur. Il est intéressant de noter que l'interféron de type I est également utilisé pour le traitement de patients atteints de mélanome cutané métastasique sans tumeurs. Bien que le bénéfice clinique de ce traitement reste controversé, des études récentes montrent qu'une partie des patients atteints de mélanome primaire ulcéré peut tirer bénéfice de cette thérapie. De futures investigations pourront mieux nous renseigner sur l'implication de l'inflammasome dans ce contexte et offrir de nouvelles stratégies pour améliorer les traitements adjuvants du mélanome.

Learning spatial filters for multispectral image segmentation

We present a novel filtering method for multispectral satellite image classification. The proposed method learns a set of spatial filters that maximize class separability of binary support vector machine (SVM) through a gradient descent approach. Regularization issues are discussed in detail and a Frobenius-norm regularization is proposed to efficiently exclude uninformative filters coefficients. Experiments carried out on multiclass one-against-all classification and target detection show the capabilities of the learned spatial filters.

Natural genetic variation of root system architecture from Arabidopsis to Brachypodium: towards adaptive value.

Root system architecture is a trait that displays considerable plasticity because of its sensitivity to environmental stimuli. Nevertheless, to a significant degree it is genetically constrained as suggested by surveys of its natural genetic variation. A few regulators of root system architecture have been isolated as quantitative trait loci through the natural variation approach in the dicotyledon model, Arabidopsis. This provides proof of principle that allelic variation for root system architecture traits exists, is genetically tractable, and might be exploited for crop breeding. Beyond Arabidopsis, Brachypodium could serve as both a credible and experimentally accessible model for root system architecture variation in monocotyledons, as suggested by first glimpses of the different root morphologies of Brachypodium accessions. Whether a direct knowledge transfer gained from molecular model system studies will work in practice remains unclear however, because of a lack of comprehensive understanding of root system physiology in the native context. For instance, apart from a few notable exceptions, the adaptive value of genetic variation in root system modulators is unknown. Future studies should thus aim at comprehensive characterization of the role of genetic players in root system architecture variation by taking into account the native environmental conditions, in particular soil characteristics.

Adaptive integral assessment package for the A2UN@ project

This paper presents a first approach of Evaluation Engine Architecture (EEA) as proposal to support adaptive integral assessment, in the context of a virtual learning environment. The goal of our research is design an evaluation engine tool to assist in the whole assessment process within the A2UN@ project, linking that tool with the other key elements of a learning design (learning task, learning resources and learning support). The teachers would define the relation between knowledge, competencies, activities, resources and type of assessment. Providing this relation is possible obtain more accurate estimations of student's knowledge for adaptive evaluations and future recommendations. The process is supported by usage of educational standards and specifications and for an integral user modelling

Adaptive divergence of ancient gene duplicates in the avian MHC class II beta.

Gene duplication and neofunctionalization are known to be important processes in the evolution of phenotypic complexity. They account for important evolutionary novelties that confer ecological adaptation, such as the major histocompatibility complex (MHC), a multigene family crucial to the vertebrate immune system. In birds, two MHC class II β (MHCIIβ) exon 3 lineages have been recently characterized, and two hypotheses for the evolutionary history of MHCIIβ lineages were proposed. These lineages could have arisen either by 1) an ancient duplication and subsequent divergence of one paralog or by 2) recent parallel duplications followed by functional convergence. Here, we compiled a data set consisting of 63 MHCIIβ exon 3 sequences from six avian orders to distinguish between these hypotheses and to understand the role of selection in the divergent evolution of the two avian MHCIIβ lineages. Based on phylogenetic reconstructions and simulations, we show that a unique duplication event preceding the major avian radiations gave rise to two ancestral MHCIIβ lineages that were each likely lost once later during avian evolution. Maximum likelihood estimation shows that following the ancestral duplication, positive selection drove a radical shift from basic to acidic amino acid composition of a protein domain facing the α-chain in the MHCII α β-heterodimer. Structural analyses of the MHCII α β-heterodimer highlight that three of these residues are potentially involved in direct interactions with the α-chain, suggesting that the shift following duplication may have been accompanied by coevolution of the interacting α- and β-chains. These results provide new insights into the long-term evolutionary relationships among avian MHC genes and open interesting perspectives for comparative and population genomic studies of avian MHC evolution.

Iterative image reconstruction techniques: cardiothoracic computed tomography applications.

Iterative image reconstruction algorithms provide significant improvements over traditional filtered back projection in computed tomography (CT). Clinically available through recent advances in modern CT technology, iterative reconstruction enhances image quality through cyclical image calculation, suppressing image noise and artifacts, particularly blooming artifacts. The advantages of iterative reconstruction are apparent in traditionally challenging cases-for example, in obese patients, those with significant artery calcification, or those with coronary artery stents. In addition, as clinical use of CT has grown, so have concerns over ionizing radiation associated with CT examinations. Through noise reduction, iterative reconstruction has been shown to permit radiation dose reduction while preserving diagnostic image quality. This approach is becoming increasingly attractive as the routine use of CT for pediatric and repeated follow-up evaluation grows ever more common. Cardiovascular CT in particular, with its focus on detailed structural and functional analyses, stands to benefit greatly from the promising iterative solutions that are readily available.

Image-Derived Input Function from the Vena Cava for 18F-FDG PET Studies in Rats and Mice.

Measurement of arterial input function is a restrictive aspect for quantitative (18)F-FDG PET studies in rodents because of their small total blood volume and the related difficulties in withdrawing blood.