120 resultados para idea process
Resumo:
After a relatively normal childhood, people suffering from cystic fibrosis reach a stage where they are progressively confronted with increasingly crippling functional limitations. Some of them nonetheless regularly undertake physical and/or sporting activity. It is then interesting to examine the process of commitment to a practice that is based on the idea of progress and often exceptional performance by the body but which, for these people, makes the decline of their physical capacities particularly salient. The qualitative survey combines participant observation with 35 semi-directive interviews with sportsmen and women with cystic fibrosis. Their commitment to sport, constructed by/with the family is initially first aimed maintaining a form of control over their identity but progressively becomes a means of controlling the illness trajectory. Lung transplant, when possible, relaunches the practice in relation to its initial interests.
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Abstract Working memory has been defined as the ability to maintain and manipulate on-line a limited amount of information. A large number of studies have investigated visuospatial working memory in schizophrenia. However, today, the available data concerning the functioning of these processes in schizophrenia are largely controversial. These inconclusive results are due to incomplete knowledge on processes involved in visuospatial working memory tasks. Recent studies suggest that visuospatial working memory processes may be divided into an active monitoring and a storing components. Furthermore, it has been shown that visuospatial working memory processes are strongly interconnected with early encoding processes (perceptual organization). In our view, the two working memory components, and the relationship that they entertain with early encoding processes, may be investigated using dynamic and static visuospatial stimuli in a working memory paradigm. In this thesis we aim at comparing dynamic and static visuospatial working memory processes in patients with schizophrenia and first-episode of psychosis patients. This analysis may clarify the functioning of visuospatial working memory and the dysfunction of these processes in schizophrenia. Our results are in accord with the hypothesis of two visuospatial working memory subcomponents. Dynamic, rather than static, stimuli are strongly involved in the visuospatial working memory encoding process. Indeed, the results are congruent with the idea that static stimuli may be strongly encoded by parallel perceptual organization processes. Patients with schizophrenia show important deficits in both working memory and perceptual organization encoding processes. In contrast, perceptual organization processes seem spared in firstepisodepsychosis patients. Considering our findings, we propose a model to explain the degradation of visuospatial processes involved in a working memory task during schizophrenia. Résumé: La mémoire de travail est définie comme la capacité à maintenir et manipuler « on-line » un nombre limité d'informations pour une courte période de temps (de l'ordre de quelques dizaines de secondes). Un grand nombre d'études a montré que les processus de mémoire de travail visuo spatiale peuvent être affectés dans la schizophrénie. Malgré cela, les données concernant les déficits de ces processus chez des patients qui souffrent de schizophrénie sont contradictoires. La difficulté de comprendre la nature des déficits de mémoire de travail visuospatiale dans la schizophrénie est en grande partie imputable aux connaissances encore lacunaires sur le fonctionnement de ces processus dans un état non pathologique. Dans cette thèse, on cherche à élucider le fonctionnement des processus de mémoire de travail visuospatiale. Pour cela, on a créé un nouveau paradigme qui sollicite ce type de mémoire. Dans ce paradigme, on présente des stimuli dynamiques et statiques. Après un court délai, le sujet doit reconnaître le stimulus qu'il a visualisé parmi six possibilités. Sur la base de récentes études neurophysiologiques, neuroanatomiques et psychologiques, nous avançons l'hypothèse que l'encodage de stimuli dynamiques et statiques repose sur deux processus distincts de mémoire de travail : un processus d'organisation qui manipule les informations sensorielles et un processus dé stockage qui est responsable du maintien de l'information au cours de la manipulation. Ces processus sont en relation directe avec les processus responsables d'une organisation de l'information à un niveau précoce du traitement visuel. Les études présentées dans cette thèse ont pour but de vérifier la pertinence de la distinction entre les processus de mémoire de travail visuospatiale, selon la modalité «dynamique » ou «statique ». L'investigation des processus dynamiques et statiques de mémoire de travail dans la schizophrénie présente deux avantages principaux. Premièrement, 1a pathologie pourrait permettre de mettre en évidence, par les dysfonctionnements qu'elle présente, la pertinence des hypothèses sur le fonctionnement des processus de mémoire de travail visuospatiale et de leur interaction avec les processus sensoriels. Deuxièmement, ces investigations rendent possible une analyse des dysfonctions des différents processus dans la schizophrénie. Dans cette thèse, on analyse aussi les processus de mémoire de travail «dynamiques » et «statiques » chez des sujets dans une phase initiale de la psychose. Les résultats de cette étude permettent de faire une comparaison avec ceux obtenus avec des patients qui souffrent de schizophrénie. Cette comparaison peut apporter des informations intéressantes sur l'évolution des dysfonctions dans les processus impliqués dans les fonctions de mémoire de travail visuospatiale au cours de la schizophrénie. Les résultats obtenus dans les différentes études sont cohérents avec l'hypothèse d'une implication différente des processus d'organisation de la mémoire de travail sur des stimuli dynamiques et statiques. -Nos résultats montrent que les processus de mémoire de travail responsables de l'organisation (manipulation active) des informations est déficitaire dans la schizophrénie. Ce déficit semble jouer un rôle de premier plan dans la dégradation des processus visuospatiaux au cours de la schizophrénie.
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Preface The starting point for this work and eventually the subject of the whole thesis was the question: how to estimate parameters of the affine stochastic volatility jump-diffusion models. These models are very important for contingent claim pricing. Their major advantage, availability T of analytical solutions for characteristic functions, made them the models of choice for many theoretical constructions and practical applications. At the same time, estimation of parameters of stochastic volatility jump-diffusion models is not a straightforward task. The problem is coming from the variance process, which is non-observable. There are several estimation methodologies that deal with estimation problems of latent variables. One appeared to be particularly interesting. It proposes the estimator that in contrast to the other methods requires neither discretization nor simulation of the process: the Continuous Empirical Characteristic function estimator (EGF) based on the unconditional characteristic function. However, the procedure was derived only for the stochastic volatility models without jumps. Thus, it has become the subject of my research. This thesis consists of three parts. Each one is written as independent and self contained article. At the same time, questions that are answered by the second and third parts of this Work arise naturally from the issues investigated and results obtained in the first one. The first chapter is the theoretical foundation of the thesis. It proposes an estimation procedure for the stochastic volatility models with jumps both in the asset price and variance processes. The estimation procedure is based on the joint unconditional characteristic function for the stochastic process. The major analytical result of this part as well as of the whole thesis is the closed form expression for the joint unconditional characteristic function for the stochastic volatility jump-diffusion models. The empirical part of the chapter suggests that besides a stochastic volatility, jumps both in the mean and the volatility equation are relevant for modelling returns of the S&P500 index, which has been chosen as a general representative of the stock asset class. Hence, the next question is: what jump process to use to model returns of the S&P500. The decision about the jump process in the framework of the affine jump- diffusion models boils down to defining the intensity of the compound Poisson process, a constant or some function of state variables, and to choosing the distribution of the jump size. While the jump in the variance process is usually assumed to be exponential, there are at least three distributions of the jump size which are currently used for the asset log-prices: normal, exponential and double exponential. The second part of this thesis shows that normal jumps in the asset log-returns should be used if we are to model S&P500 index by a stochastic volatility jump-diffusion model. This is a surprising result. Exponential distribution has fatter tails and for this reason either exponential or double exponential jump size was expected to provide the best it of the stochastic volatility jump-diffusion models to the data. The idea of testing the efficiency of the Continuous ECF estimator on the simulated data has already appeared when the first estimation results of the first chapter were obtained. In the absence of a benchmark or any ground for comparison it is unreasonable to be sure that our parameter estimates and the true parameters of the models coincide. The conclusion of the second chapter provides one more reason to do that kind of test. Thus, the third part of this thesis concentrates on the estimation of parameters of stochastic volatility jump- diffusion models on the basis of the asset price time-series simulated from various "true" parameter sets. The goal is to show that the Continuous ECF estimator based on the joint unconditional characteristic function is capable of finding the true parameters. And, the third chapter proves that our estimator indeed has the ability to do so. Once it is clear that the Continuous ECF estimator based on the unconditional characteristic function is working, the next question does not wait to appear. The question is whether the computation effort can be reduced without affecting the efficiency of the estimator, or whether the efficiency of the estimator can be improved without dramatically increasing the computational burden. The efficiency of the Continuous ECF estimator depends on the number of dimensions of the joint unconditional characteristic function which is used for its construction. Theoretically, the more dimensions there are, the more efficient is the estimation procedure. In practice, however, this relationship is not so straightforward due to the increasing computational difficulties. The second chapter, for example, in addition to the choice of the jump process, discusses the possibility of using the marginal, i.e. one-dimensional, unconditional characteristic function in the estimation instead of the joint, bi-dimensional, unconditional characteristic function. As result, the preference for one or the other depends on the model to be estimated. Thus, the computational effort can be reduced in some cases without affecting the efficiency of the estimator. The improvement of the estimator s efficiency by increasing its dimensionality faces more difficulties. The third chapter of this thesis, in addition to what was discussed above, compares the performance of the estimators with bi- and three-dimensional unconditional characteristic functions on the simulated data. It shows that the theoretical efficiency of the Continuous ECF estimator based on the three-dimensional unconditional characteristic function is not attainable in practice, at least for the moment, due to the limitations on the computer power and optimization toolboxes available to the general public. Thus, the Continuous ECF estimator based on the joint, bi-dimensional, unconditional characteristic function has all the reasons to exist and to be used for the estimation of parameters of the stochastic volatility jump-diffusion models.
Resumo:
Evidence-based (EBP) aims for a new distribution of power centered on scientific evidence rather than clinical expertise. The present article describes the operational process of EBP by describing the implementation stages of this type of practise. This stage presentation is essential given that there are many conceptions end models of EBP and that some nurses have a limited knowledge of its rules ans implications. Given that number and formulation of the stages varies by author, the process presented here attempts to integrate the different stages reviewed.
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Neutrophils are massively and rapidly recruited following infection. They migrate to the site of acute infection and also transiently to dLNs. In addition to their well-established role as microbial killers, accumulating evidence shows that neutrophils can play an immunoregulatory role. Neutrophils were recently shown to influence the activation of different leukocyte types including NK cells, B cells, and DCs. DCs are professional APCs playing a key role to the launching and regulation of the immune response; thus, crosstalk between neutrophils and resident or newly recruited DCs may have a direct impact on the development of the antigen-specific immune response and thereby, on the outcome of infection. Neutrophils may regulate DC recruitment and/or activation. We will review here recent progress in the field, including those presented during the first international symposium on "Neutrophil in Immunity", held in Québec, Canada, in June 2012, and discuss how neutrophil regulatory action on DCs may differ depending on the type of invading microorganism and local host factors.
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We characterize the value function of maximizing the total discounted utility of dividend payments for a compound Poisson insurance risk model when strictly positive transaction costs are included, leading to an impulse control problem. We illustrate that well known simple strategies can be optimal in the case of exponential claim amounts. Finally we develop a numerical procedure to deal with general claim amount distributions.
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In a recent paper, Traulsen and Nowak use a multilevel selection model to show that cooperation can be favored by group selection in finite populations [Traulsen A, Nowak M (2006) Proc Natl Acad Sci USA 103:10952-10955]. The authors challenge the view that kin selection may be an appropriate interpretation of their results and state that group selection is a distinctive process "that permeates evolutionary processes from the emergence of the first cells to eusociality and the economics of nations." In this paper, we start by addressing Traulsen and Nowak's challenge and demonstrate that all their results can be obtained by an application of kin selection theory. We then extend Traulsen and Nowak's model to life history conditions that have been previously studied. This allows us to highlight the differences and similarities between Traulsen and Nowak's model and typical kin selection models and also to broaden the scope of their results. Our retrospective analyses of Traulsen and Nowak's model illustrate that it is possible to convert group selection models to kin selection models without disturbing the mathematics describing the net effect of selection on cooperation.
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Question: How do clonal traits of a locally dominant grass (Elymus repens (L.) Gould.) respond to soil heterogeneity and shape spatial patterns of its tillers? How do tiller spatial patterns constrain seedling recruitment within the community?Locations: Artificial banks of the River Rhone, France.Material and Methods: We examined 45 vegetation patches dominated by Elymus repens. During a first phase we tested relationships between soil variables and three clonal traits (spacer length, number of clumping tillers and branching rate), and between the same clonal traits and spatial patterns (i.e. density and degree of spatial aggregation) of tillers at a very fine scale. During a second phase, we performed a sowing experiment to investigate effects of density and spatial patterns of E. repens on recruitment of eight species selected from the regional species pool.Results: Clonal traits had clear effects - especially spacer length - on densification and aggregation of E. repens tillers and, at the same time, a clear response of these same clonal traits as soil granulometry changed. The density and degree of aggregation of E. repens tillers was positively correlated to total seedling cover and diversity at the finest spatial scales.Conclusions: Spatial patterning of a dominant perennial grass responds to soil heterogeneity through modifications of its clonal morphology as a trade-off between phalanx and guerrilla forms. In turn, spatial patterns have strong effects on abundance and diversity of seedlings. Spatial patterns of tillers most probably led to formation of endogenous gaps in which the recruitment of new plant individuals was enhanced. Interestingly, we also observed more idiosyncratic effects of tiller spatial patterns on seedling cover and diversity when focusing on different growth forms of the sown species.