831 resultados para class
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Thèse réalisée en cotutelle avec l'Université de Perpignan Via Domitia (UPVD), France.
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Le système de différenciation entre le « soi » et le « non-soi » des vertébrés permet la détection et le rejet de pathogènes et de cellules allogéniques. Il requiert la surveillance de petits peptides présentés à la surface cellulaire par les molécules du complexe majeur d’histocompatibilité de classe I (CMH I). Les molécules du CMH I sont des hétérodimères composés par une chaîne lourde encodée par des gènes du CMH et une chaîne légère encodée par le gène β2-microglobuline. L’ensemble des peptides est appelé l’immunopeptidome du CMH I. Nous avons utilisé des approches en biologie de systèmes pour définir la composition et l’origine cellulaire de l’immunopeptidome du CMH I présenté par des cellules B lymphoblastoïdes dérivés de deux pairs de fratries avec un CMH I identique. Nous avons découvert que l’immunopeptidome du CMH I est spécifique à l’individu et au type cellulaire, qu’il dérive préférentiellement de transcrits abondants, est enrichi en transcrits possédant d’éléments de reconnaissance par les petits ARNs, mais qu’il ne montre aucun biais ni vers les régions génétiques invariables ni vers les régions polymorphiques. Nous avons également développé une nouvelle méthode qui combine la spectrométrie de masse, le séquençage de nouvelle génération et la bioinformatique pour l’identification à grand échelle de peptides du CMH I, dont ceux résultants de polymorphismes nucléotidiques simples non-synonymes (PNS-ns), appelés antigènes mineurs d’histocompatibilité (AMHs), qui sont les cibles de réponses allo-immunitaires. La comparaison de l’origine génomique de l’immunopeptidome de soeurs avec un CMH I identique a révélé que 0,5% des PNS-ns étaient représentés dans l’immunopeptidome et que 0,3% des peptides du CMH I seraient immunogéniques envers une des deux soeurs. En résumé, nous avons découvert des nouveaux facteurs qui modèlent l’immunopeptidome du CMH I et nous présentons une nouvelle stratégie pour l’indentification de ces peptides, laquelle pourrait accélérer énormément le développement d’immunothérapies ciblant les AMHs.
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Ma thèse examine quatre romans de l`époque post-1960 qui s’appuient sur le genre de la littérature prolétarienne du début du vingtième siècle. Se basant sur les recherches récentes sur la littérature de la classe ouvrière, je propose que Pynchon, Doctorow, Ondaatje et Sweatman mettent en lumière les thèmes souvent négligés de cette classe tout en restant esthétiquement progressiste et pertinents. Afin d’explorer les aspects politiques et formels de ces romans, j’utilise la « midfiction », le concept d’Allen Wilde. Ce concept vise les textes qui utilisent les techniques postmodernes et qui acceptent la primauté de la surface, mais qui néanmoins essaient d’être référentiels et d’établir des vérités. Le premier chapitre de ma thèse propose que les romans prolétariens contemporains que j’ai choisis utilisent des stratégies narratives généralement associées avec le postmodernisme, telles que la métafiction, l’ironie et une voix narrative « incohérente », afin de contester l’autorité des discours dominants, notamment les histoires officielles qui ont tendance à minimiser l’importance des mouvements ouvriers. Le deuxième chapitre examine comment les romanciers utilisent des stratégies mimétiques afin de réaliser un facteur de crédibilité qui permet de lier les récits aux des réalités historiques concrètes. Me référant à mon argument du premier chapitre, j’explique que ces romanciers utilisent la référentialité et les voix narratives « peu fiables » et « incohérentes », afin de politiser à nouveau la lutte des classes de la fin du dix-neuvième et des premières décennies du vingtième siècles et de remettre en cause un sens strict de l’histoire empirique. Se basant sur les théories évolutionnistes de la sympathie, le troisième chapitre propose que les représentations des personnages de la classe dirigeante riche illustrent que les structures sociales de l’époque suscitent un sentiment de droit et un manque de sympathie chez les élites qui les font adopter une attitude quasi-coloniale vis-à-vis de la classe ouvrière. Le quatrième chapitre aborde la façon dont les romans en considération négocient les relations entre les classes sociales, la subjectivité et l’espace. Cette section analyse comment, d’un côté, la représentation de l’espace montre que le pouvoir se manifeste au bénéfice de la classe dirigeante, et de l’autre, comment cet espace est récupéré par les ouvriers radicaux et militants afin d’avancer leurs intérêts. Le cinquième chapitre explore comment les romans néo-prolétariens subvertissent ironiquement les tropes du genre prolétarien précédent, ce qui exprimerait l’ambivalence politique et le cynisme généralisé de la fin du vingtième siècle.
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For the discrete-time quadratic map xt+1=4xt(1-xt) the evolution equation for a class of non-uniform initial densities is obtained. It is shown that in the t to infinity limit all of them approach the invariant density for the map.
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The main objective of the present study is to have a detailed investigation on the gelation properties, morphology and optical properties of small π-conjugated oligomers. For this purpose we have chosen oligo(p-phenylenevinylene)s (OPVs), a class of molecules which have received considerable attention due to their unique optical and electronic properties. Though a large number of reports are available in the literature on the self-assembly properties of tailor made OPVs, none of them pertain to the design of nanostructures based on organogels. In view of this, we aimed at the creation of functional chromophoric assemblies of π-conjugated OPVs through the formation of organogels, with the objective of crafting nanoscopic assemblies of different size and shape thereby modulating their optical and electronic properties.In order to fulfill the above objectives, the design and synthesis of a variety of OPVs with appropriate structural variations were planned. The design principle involves the derivatization of OPVs with weak H-bonding hydroxymethyl end groups and with long aliphatic hydrocarbon side chains. The noncovalent interactions in these molecules were expected to lead the formation of supramolecular assembly and gels in hydrocarbon solvents. In such an event, detailed study of gelation and extensive analysis of the morphology of the gel structures were planned using advanced microscopic techniques. Since OPVs are strongly fluorescent molecules, gelation is expected to perturb the optical properties. Therefore, detailed study on the gelation induced optical properties as a way to probe the nature and stability of the selfassembly was planned. Apart from this, the potential use of the modulation of the optical properties for the purpose of light harvesting was aimed. The approach to this problem was to entrap an appropriate energy trap to the OPV gel matrix which may lead to the efficient energy transfer from the OPV gel based donor to the entrapped acceptor. The final question that we wanted to address in this investigation was the creation of helical nanostructures through proper modification of the OPV backbone With chiral handles.The present thesis is a detailed and systematic approach to the realization of the above objectives which are presented in different chapters of the thesis.
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HINDI
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We show that the locally free class group of an order in a semisimple algebra over a number field is isomorphic to a certain ray class group. This description is then used to present an algorithm that computes the locally free class group. The algorithm is implemented in MAGMA for the case where the algebra is a group ring over the rational numbers.
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There are numerous text documents available in electronic form. More and more are becoming available every day. Such documents represent a massive amount of information that is easily accessible. Seeking value in this huge collection requires organization; much of the work of organizing documents can be automated through text classification. The accuracy and our understanding of such systems greatly influences their usefulness. In this paper, we seek 1) to advance the understanding of commonly used text classification techniques, and 2) through that understanding, improve the tools that are available for text classification. We begin by clarifying the assumptions made in the derivation of Naive Bayes, noting basic properties and proposing ways for its extension and improvement. Next, we investigate the quality of Naive Bayes parameter estimates and their impact on classification. Our analysis leads to a theorem which gives an explanation for the improvements that can be found in multiclass classification with Naive Bayes using Error-Correcting Output Codes. We use experimental evidence on two commonly-used data sets to exhibit an application of the theorem. Finally, we show fundamental flaws in a commonly-used feature selection algorithm and develop a statistics-based framework for text feature selection. Greater understanding of Naive Bayes and the properties of text allows us to make better use of it in text classification.
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We present a novel scheme ("Categorical Basis Functions", CBF) for object class representation in the brain and contrast it to the "Chorus of Prototypes" scheme recently proposed by Edelman. The power and flexibility of CBF is demonstrated in two examples. CBF is then applied to investigate the phenomenon of Categorical Perception, in particular the finding by Bulthoff et al. (1998) of categorization of faces by gender without corresponding Categorical Perception. Here, CBF makes predictions that can be tested in a psychophysical experiment. Finally, experiments are suggested to further test CBF.
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Most psychophysical studies of object recognition have focussed on the recognition and representation of individual objects subjects had previously explicitely been trained on. Correspondingly, modeling studies have often employed a 'grandmother'-type representation where the objects to be recognized were represented by individual units. However, objects in the natural world are commonly members of a class containing a number of visually similar objects, such as faces, for which physiology studies have provided support for a representation based on a sparse population code, which permits generalization from the learned exemplars to novel objects of that class. In this paper, we present results from psychophysical and modeling studies intended to investigate object recognition in natural ('continuous') object classes. In two experiments, subjects were trained to perform subordinate level discrimination in a continuous object class - images of computer-rendered cars - created using a 3D morphing system. By comparing the recognition performance of trained and untrained subjects we could estimate the effects of viewpoint-specific training and infer properties of the object class-specific representation learned as a result of training. We then compared the experimental findings to simulations, building on our recently presented HMAX model of object recognition in cortex, to investigate the computational properties of a population-based object class representation as outlined above. We find experimental evidence, supported by modeling results, that training builds a viewpoint- and class-specific representation that supplements a pre-existing repre-sentation with lower shape discriminability but possibly greater viewpoint invariance.
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To recognize a previously seen object, the visual system must overcome the variability in the object's appearance caused by factors such as illumination and pose. Developments in computer vision suggest that it may be possible to counter the influence of these factors, by learning to interpolate between stored views of the target object, taken under representative combinations of viewing conditions. Daily life situations, however, typically require categorization, rather than recognition, of objects. Due to the open-ended character both of natural kinds and of artificial categories, categorization cannot rely on interpolation between stored examples. Nonetheless, knowledge of several representative members, or prototypes, of each of the categories of interest can still provide the necessary computational substrate for the categorization of new instances. The resulting representational scheme based on similarities to prototypes appears to be computationally viable, and is readily mapped onto the mechanisms of biological vision revealed by recent psychophysical and physiological studies.
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We report on a new class of nonionic, photosensitive surfactants consisting of a polar di(ethylene oxide) head group attached to an alkyl spacer of between two and eight methylene groups, coupled through an ether linkage to an azobenzene moiety. Structural changes associated with the interconversion of the azobenzene group between its cis and trans forms as mediated by the wavelength of an irradiating light source cause changes in the surface tension and self-assembly properties. Differences in saturated surface tensions (surface tension at concentrations above the CMC) were as high as 14.4 mN/m under radiation of different wavelengths. The qualitative behavior of the surfactants changed as the spacer length changed, attributed to the different orientations adopted by the different surfactants depending on their isomerization states, as revealed by neutron reflection studies. The self-assembly of these photosensitive surfactants has been investigated by light scattering, small angle neutron scattering, and cryo-TEM under different illuminations. The significant change in the self-assembly in response to different illumination conditions was attributed to the sign change in Gaussian rigidity, which originated from the azobenzene photoisomerization.