881 resultados para Digtially-Driven Transformations


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The aim of this IRB-approved study was to prospectively analyze psychological transformations in ESRD patients before and after transplantation (KT). Semi-structured interviews were conducted in 30 patients (mean age = 53±10) after their inclusion on the waiting-list (Gr. A). Follow-up interviews were performed 6 months later in 15 patients still awaiting KT (Gr. B6), and in 15 patients 6 months (Gr. C6) and 12 months (Gr. C12) after KT. Qualitative analysis was performed. Gr: A:All patients underlined loss of freedom, 87% devoted much energy to maintain normality, 57% modified medical directives. All reported emotional fragility related to dialysis and loss of quality of life (QOL), negative (43%) or suicidal thoughts (20%). Professional stigma was underlined (26%). Gr: B6:40% reported no change, 60% mentioned increase of illness intrusiveness, 46% dialysis side-effects, 40% communication problems, 33% tension with medical staff and waiting list handling. Fear of emotional breakdown (40%), couple problems (47%) and worsened professional difficulties (20%) were reported. Gr: C6:All patients mentioned improved QOL and freedom recovery (87%). All expressed concerns about possible acute rejection, 73% were anxious about laboratory results, 93% experienced dependence to immunosuppressants, 47% reported difficulties in handling medication, 21% feared to forget them, 47% were concerned about side-effects, 67% had resumed work but medical constraints led to professional tension (40%). Gr: C12:All mentioned recovered QOL. Medical controls were accepted as a routine (87%) and adherence to medication was mandatory (100%). All mentioned the limited long-term graft survival and 47% were anxious about possible return to dialysis, especially younger patients (27%). Positive identity and existential changes were reported (60%). This prospective qualitative study identifies psychological modifications in the course of KT. It provides a basis to adequately address concerns, but it shows also that KT is clearly associated with positive psychological transformations.

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In conditions of T lymphopenia, interleukin (IL) 7 levels rise and, via T cell receptor for antigen-self-major histocompatibility complex (MHC) interaction, induce residual naive T cells to proliferate. This pattern of lymphopenia-induced "homeostatic" proliferation is typically quite slow and causes a gradual increase in total T cell numbers and differentiation into cells with features of memory cells. In contrast, we describe a novel form of homeostatic proliferation that occurs when naive T cells encounter raised levels of IL-2 and IL-15 in vivo. In this situation, CD8(+) T cells undergo massive expansion and rapid differentiation into effector cells, thus closely resembling the T cell response to foreign antigens. However, the responses induced by IL-2/IL-15 are not seen in MHC-deficient hosts, implying that the responses are driven by self-ligands. Hence, homeostatic proliferation of naive T cells can be either slow or fast, with the quality of the response to self being dictated by the particular cytokine (IL-7 vs. IL-2/IL-15) concerned. The relevance of the data to the gradual transition of naive T cells into memory-phenotype (MP) cells with age is discussed.

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Power transformations of positive data tables, prior to applying the correspondence analysis algorithm, are shown to open up a family of methods with direct connections to the analysis of log-ratios. Two variations of this idea are illustrated. The first approach is simply to power the original data and perform a correspondence analysis this method is shown to converge to unweighted log-ratio analysis as the power parameter tends to zero. The second approach is to apply the power transformation to thecontingency ratios, that is the values in the table relative to expected values based on the marginals this method converges to weighted log-ratio analysis, or the spectral map. Two applications are described: first, a matrix of population genetic data which is inherently two-dimensional, and second, a larger cross-tabulation with higher dimensionality, from a linguistic analysis of several books.

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Nonlinear regression problems can often be reduced to linearity by transforming the response variable (e.g., using the Box-Cox family of transformations). The classic estimates of the parameter defining the transformation as well as of the regression coefficients are based on the maximum likelihood criterion, assuming homoscedastic normal errors for the transformed response. These estimates are nonrobust in the presence of outliers and can be inconsistent when the errors are nonnormal or heteroscedastic. This article proposes new robust estimates that are consistent and asymptotically normal for any unimodal and homoscedastic error distribution. For this purpose, a robust version of conditional expectation is introduced for which the prediction mean squared error is replaced with an M scale. This concept is then used to develop a nonparametric criterion to estimate the transformation parameter as well as the regression coefficients. A finite sample estimate of this criterion based on a robust version of smearing is also proposed. Monte Carlo experiments show that the new estimates compare favorably with respect to the available competitors.

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O presente trabalho tem como objectivo a apresentação do processo de concepção e implementação de um projecto-piloto de um sistema de custeio baseado em actividades e tempo – TDABC, numa empresa industrial de conserva de pescado, Frescomar, S.A. Mais especificamente o trabalho desenvolveu-se na apuração do custo da área de produção da empresa objecto de estudo. O sistema de custeio Time-Driven Activity-Based Costing (TDABC) representa um modelo alternativo aos sistemas tradicionais da contabilidade de custos, e é uma evolução do Activity-Based Costing (ABC). O sistema ABC surgiu durante a década de 1980 e tem vindo a evoluir desde então. Muitas empresas abandonaram o ABC, pois este método de custeio, além de não conseguir captar a complexidade das suas operações, a sua implementação é demorado, e é muito dispendioso de aplicar e manter. Com o método TDABC encontra-se uma alternativa para dirimir estes problemas. Observou-se a necessidade do desenvolvimento de apenas algumas equações de tempo (time equations) para representar as principais actividades da área de produção. Foram observadas, durante a realização do estudo, vários dos benefícios do TDABC como: a facilidade em modelar actividades complexas por meio das equações de tempo, obtenção rigorosa de gastos e o baixo tempo de desenvolvimento do modelo. Contudo, também foram identificadas algumas limitações como subjectividade no cálculo do tempo de execução das actividades e dificuldade em se estimar as equações de tempo para actividades pouco estruturadas.

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In Duchenne muscular dystrophy (DMD), a persistently altered and reorganizing extracellular matrix (ECM) within inflamed muscle promotes damage and dysfunction. However, the molecular determinants of the ECM that mediate inflammatory changes and faulty tissue reorganization remain poorly defined. Here, we show that fibrin deposition is a conspicuous consequence of muscle-vascular damage in dystrophic muscles of DMD patients and mdx mice and that elimination of fibrin(ogen) attenuated dystrophy progression in mdx mice. These benefits appear to be tied to: (i) a decrease in leukocyte integrin α(M)β(2)-mediated proinflammatory programs, thereby attenuating counterproductive inflammation and muscle degeneration; and (ii) a release of satellite cells from persistent inhibitory signals, thereby promoting regeneration. Remarkably, Fib-gamma(390-396A) (Fibγ(390-396A)) mice expressing a mutant form of fibrinogen with normal clotting function, but lacking the α(M)β(2) binding motif, ameliorated dystrophic pathology. Delivery of a fibrinogen/α(M)β(2) blocking peptide was similarly beneficial. Conversely, intramuscular fibrinogen delivery sufficed to induce inflammation and degeneration in fibrinogen-null mice. Thus, local fibrin(ogen) deposition drives dystrophic muscle inflammation and dysfunction, and disruption of fibrin(ogen)-α(M)β(2) interactions may provide a novel strategy for DMD treatment.

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Identifying adaptive genetic variation is a challenging task, in particular in non-model species for which genomic information is still limited or absent. Here, we studied distribution patterns of amplified fragment length polymorphisms (AFLPs) in response to environmental variation, in 13 alpine plant species consistently sampled across the entire European Alps. Multiple linear regressions were performed between AFLP allele frequencies per site as dependent variables and two categories of independent variables, namely Moran's eigenvector map MEM variables (to account for spatial and unaccounted environmental variation, and historical demographic processes) and environmental variables. These associations allowed the identification of 153 loci of ecological relevance. Univariate regressions between allele frequency and each environmental factor further showed that loci of ecological relevance were mainly correlated with MEM variables. We found that precipitation and temperature were the best environmental predictors, whereas topographic factors were rarely involved in environmental associations. Climatic factors, subject to rapid variation as a result of the current global warming, are known to strongly influence the fate of alpine plants. Our study shows, for the first time for a large number of species, that the same environmental variables are drivers of plant adaptation at the scale of a whole biome, here the European Alps.