89 resultados para CLAS
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After examining certain general characteristics of philosophical terminology which are important for the translation of the terms, the author studies the translation of philosophical lexis in a corpus of texts, highlighting the difference in treatment of technical terms and general lexis. A more detailed study of the corpus reveals complexities beyond that binary dichotomy. The author then aims to produce explanations for the translational practice which have been adduced. This necessitates exploring the social context in which the translated terms circulate.
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The immunoloical profile of acquired immunodeficiency syndrome (AIDS) and chronic lymphadenopathy syndrome (CLAS) in 15 and 11 Brazilian patients, respectively, was studied. The AIDS patients showed reduced percentage of total T (CD3) and T-helper-inducer (CD4) lymphocytes, relative increase in numbers of T-suppressor-cytotoxic (CD8) cells and a marked inversion of T-helper-inducer/suppressor-cytotoxic (CD4/CD8) ratio. Lymphoproliferative responses to PHA, ConA, PPD and PWM were diminished. Hypergamaglobulinemia and high levels of circulating immune complexes were also found. The CLAS patients also showed important immunological alterations, but not so intense as those with AIDS. These data seems to be similar to those observed in other parts of the world.
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En 1923, Ramón Plá i Armengol (1880-1958) fundó el Instituto Ravetllat-Pla para la comercialización y producción de dos productos antituberculosos (Hemo-Antitoxina y Suero Ravetllat-Pla) fundamentados en una teoría heterodoxa postulada por el veterinario Joaquim Ravetllat i Estech (1871-1923). A través del instituto creó una gran red internacional científico-comercial principalmente en Latinoamérica. Plá i Armengol fue doctor en medicina y participó activamente en la lucha antituberculosa en Cataluña sin dejar de lado su militancia socialista. A través de estos dos productos, logró crear un mercado que se sustentaba en una teoría heterodoxa que integraban sus principios e ideología.
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Background: One characteristic of post traumatic stress disorder is an inability to adapt to a safe environment i.e. to change behavior when predictions of adverse outcomes are not met. Recent studies have also indicated that PTSD patients have altered pain processing, with hyperactivation of the putamen and insula to aversive stimuli (Geuze et al, 2007). The present study examined neuronal responses to aversive and predicted aversive events. Methods: Twenty-four trauma exposed non-PTSD controls and nineteen subjects with PTSD underwent fMRI imaging during a partial reinforcement fear conditioning paradigm, with a mild electric shock as the unconditioned stimuli (UCS). Three conditions were analyzed: actual presentations of the UCS, events when a UCS was expected, but omitted (CS+), and events when the UCS was neither expected nor delivered (CS-). Results: The UCS evoked significant alterations in the pain matrix consisting of the brainstem, the midbrain, the thalamus, the insula, the anterior and middle cingulate and the contralateral somatosensory cortex. PTSD subjects displayed bilaterally elevated putamen activity to the electric shock, as compared to controls. In trials when USC was expected, but omitted, significant activations were observed in the brainstem, the midbrain, the anterior insula and the anterior cingulate. PTSD subjects displayed similar activations, but also elevated activations in the amygdala and the posterior insula. Conclusions: These results indicate altered fear and safety learning in PTSD, and neuronal activations are further explored in terms of functional connectivity using psychophysiological interaction analyses.
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The present research deals with an important public health threat, which is the pollution created by radon gas accumulation inside dwellings. The spatial modeling of indoor radon in Switzerland is particularly complex and challenging because of many influencing factors that should be taken into account. Indoor radon data analysis must be addressed from both a statistical and a spatial point of view. As a multivariate process, it was important at first to define the influence of each factor. In particular, it was important to define the influence of geology as being closely associated to indoor radon. This association was indeed observed for the Swiss data but not probed to be the sole determinant for the spatial modeling. The statistical analysis of data, both at univariate and multivariate level, was followed by an exploratory spatial analysis. Many tools proposed in the literature were tested and adapted, including fractality, declustering and moving windows methods. The use of Quan-tité Morisita Index (QMI) as a procedure to evaluate data clustering in function of the radon level was proposed. The existing methods of declustering were revised and applied in an attempt to approach the global histogram parameters. The exploratory phase comes along with the definition of multiple scales of interest for indoor radon mapping in Switzerland. The analysis was done with a top-to-down resolution approach, from regional to local lev¬els in order to find the appropriate scales for modeling. In this sense, data partition was optimized in order to cope with stationary conditions of geostatistical models. Common methods of spatial modeling such as Κ Nearest Neighbors (KNN), variography and General Regression Neural Networks (GRNN) were proposed as exploratory tools. In the following section, different spatial interpolation methods were applied for a par-ticular dataset. A bottom to top method complexity approach was adopted and the results were analyzed together in order to find common definitions of continuity and neighborhood parameters. Additionally, a data filter based on cross-validation was tested with the purpose of reducing noise at local scale (the CVMF). At the end of the chapter, a series of test for data consistency and methods robustness were performed. This lead to conclude about the importance of data splitting and the limitation of generalization methods for reproducing statistical distributions. The last section was dedicated to modeling methods with probabilistic interpretations. Data transformation and simulations thus allowed the use of multigaussian models and helped take the indoor radon pollution data uncertainty into consideration. The catego-rization transform was presented as a solution for extreme values modeling through clas-sification. Simulation scenarios were proposed, including an alternative proposal for the reproduction of the global histogram based on the sampling domain. The sequential Gaussian simulation (SGS) was presented as the method giving the most complete information, while classification performed in a more robust way. An error measure was defined in relation to the decision function for data classification hardening. Within the classification methods, probabilistic neural networks (PNN) show to be better adapted for modeling of high threshold categorization and for automation. Support vector machines (SVM) on the contrary performed well under balanced category conditions. In general, it was concluded that a particular prediction or estimation method is not better under all conditions of scale and neighborhood definitions. Simulations should be the basis, while other methods can provide complementary information to accomplish an efficient indoor radon decision making.
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Summary: Prerequisites for growth and working in groups as assessed by industrial workers of all ages
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Natural selection favours the genes which are able to introduce replicates of themselves in the next generation with higher certainty than do rival genes (Hamilton 1963). The fitness of an individual, it?s ability to produce future parents, depends on it?s own behaviour as well as on the behaviour of other individuals in the population. For instance, the intensity of competition an individual experience depends on the exploitation of resources by neighbours. The fitness is thus frequency dependent on what neighbours do. Behaviours can be classified according to the costs and benefits they have on the fitness of the behaver and it?s neighbours (Hamilton 1964, Hamilton 1975). According to this classification there exist four distinct social behaviours. (1) A gene confering the ability to use a new ressource is called selfish because it has a positive e_ect on the bearer of the gene but a negative e_ect on neighbours by the concomitant increase in competition. (2) An altruistic behaviour is defined as an action where an individual increases the fitness of a neighbour at the expense of it?s own. The e_ect is deleterious for the actor but positive for the receptor. (3) More surprinsingly, an individual might sacrifice a fraction of it?s ressources to harm another at no direct benefits. This spitefull behaviour incurs a cost for the actor but is also deleterious for the receptor. (4) Finally a cooperative behaviour breeds benefits for both actors and neighbours. In this thesis I will continue on the path traced by numerous evolutionnary biologist which attempt to fine tune our understanding of the evolution of social behaviours since Hamilton?s foundation (1963, 1964). A critical development over the last 40 years has been the realisation that competition between kin can partly or completely cancel out the role of relatedness as an agent favouring altruism (Wilson et al., 1992; Taylor, 1992a,b). Of importance is thus to determine the scale at which competition and altruism occur. One mechanism avoiding the complete dilution of relatedness by competition is the conditionnal expression of the social behaviors. Focus will be given in this thesis at the role played by di_erent recognition mechanism in paving the way to altruism (Komdeur and Hatchwell, 1999) when the population has a spatial structure. Further, the evolution of spite will also be considered in these settings. The thesis is fractionated into two parts. First, di_erent models promoting altruism cooperation and spite will be compared under the same theoretical umbrella. This is a rather informal and more personnal part of my thesis. It also serve as a justification and basis to "Altruism among kin and non-kin individuals" which is an article attempting to clas- sify the mechanisms leading to altruism and cooperation. Second, in the annexe, there are three research papers about kin selection, altruism and dispersal: "Is sociality driven by the costs of dispersal or the benefits of philopatry?: A role for kin-discrimination mechanism", "Altruism, dispersal and phenotype kin recognition" and "Inbreeding avoidance through kin recognition: choosy female boost male dispersal" this last paper incorporates kin recognition as an agent favoring sex-biased dispersal.
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Cette thèse se propose d?étudier les forces évolutives qui influencent la bal- ance entre coopération et conflit. Deux exemples sont analysés en détail, les sociétés d?insectes et l?association entre la fourmi Formica exsecta et son sym- bionte intracellulaire Wolbachia. Chacune de ces deux associations animales est caractérisée par la coexistence de coopération et de conflit. Les colonies d?insectes sociaux sont un exemple typique de coopération. Néanmoins, la détermination haplodiploïde du sexe crée des apparentements asymétriques entre les membres de la colonie qui se traduisent par des con- flits entre reines et ouvrières. Un des conflits les plus importants porte sur le sexe-ratio, l?investissement optimal en sexués males et femelles étant équilibré pour la reine, mais biaisé en faveur des femelles pour les ouvrières. Jusqu?ici, les modèles étudiant ce conflit se basaient uniquement sur les asymétries d?ap- parentement. La première partie de cette thèse (Chapitres 1 et 2) propose d?introduire dans des modèles de sexe-ratio les mécanismes proximaux utilisés par les deux parties pour influencer le sexe-ratio. Ces mécanismes, par leurs ef- fets négatifs sur la productivité de la colonie, peuvent entraîner des déviations importantes du sexe-ratio par rapport à la valeur prédite par des modèles clas- siques. De plus, la prise en compte de ces mécanismes nous permet d?étudier dans quelle mesure les parties opposées sont sélectionnées pour influencer le sexe-ratio. Enfin, les modèles génèrent des prédictions quant à l?issue du con- flit, c?est-à-dire un compromis où reines et ouvrières partagent le contrôle de l?investissement. La seconde partie du travail porte sur l?infection de la fourmi Formica ex- secta par le symbionte cytoplasmique Wolbachia. Ce symbionte, présent chez un grand nombre d?espèces d?Arthropodes, est transmis maternellement. Afin de se répandre dans la population d?hôtes, Wolbachia manipule la physiolo- gie reproductive de l?organisme qui l?abrite. Le Chapitre 3 décrit une étude consacrée aux variations du sexe-ratio produit dans des colonies de fourmis? en fonction de la présence ou de l?absence de Wolbachia. Le Chapitre 4 étudie l?association entre les lignées du symbionte et les haplotypes mitochondriaux des hôtes. L?étude de l?association entre les deux éléments maternellement transmis est d?un intérêt particulier chez Formica exsecta car le taux de migra- tion femelle très faible engendre une forte strucure génétique mitochondriale.
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Invocatio: I.N.J.
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ilm OKM 2013
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1 kartasto ([35] s., [24] karttalehteä (7 taitettuina)) : 24 karttaa, vär. ; 56 cm