3,091 research outputs found

    Analysing children's accounts using discourse analysis

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    Discourse analytic approaches to research depart from understandings of the individual and of the relation between language and knowledge provided by positivist and post-positivist approaches. This chapter sets out to show what this might mean for studying children’s experiences through, for example, interview-based research, and how a discourse analytic approach may bring into play conceptual resources that are particularly valuable for research with children. First and foremost, discursive approaches highlight the interpretive nature of any research, not only that with children. As a consequence, they challenge the conventional distinction between data collection and analysis, question the status of research accounts and encourage us to question taken-for-granted assumptions about distinctions between adults and children. Hence our emphasis in this chapter is on the active and subjective involvement of researchers in hearing, interpreting and representing children’s ‘voices’

    Quality of life and cognitive function in patients with pituitary insufficiency

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    This review is concerned with the psychosocial functioning and the quality of life in patients with pituitary insufficiency who are receiving conventional hormone replacement therapy. The possible negative effects of pituitary surgery, treatment with irradiation, and suboptimal replacement regimens with hormones other than growth hormone on mood, behaviour and cognitive functioning are discussed. The influence of growth hormone deficiency per se, and the outcome of growth hormone therapy in adult patients are addressed in detail. A possible mechanism for a direct effect of growth hormone on the brain is presented

    A Cut Finite Element Method with Boundary Value Correction

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    In this contribution we develop a cut finite element method with boundary value correction of the type originally proposed by Bramble, Dupont, and Thomee. The cut finite element method is a fictitious domain method with Nitsche type enforcement of Dirichlet conditions together with stabilization of the elements at the boundary which is stable and enjoy optimal order approximation properties. A computational difficulty is, however, the geometric computations related to quadrature on the cut elements which must be accurate enough to achieve higher order approximation. With boundary value correction we may use only a piecewise linear approximation of the boundary, which is very convenient in a cut finite element method, and still obtain optimal order convergence. The boundary value correction is a modified Nitsche formulation involving a Taylor expansion in the normal direction compensating for the approximation of the boundary. Key to the analysis is a consistent stabilization term which enables us to prove stability of the method and a priori error estimates with explicit dependence on the meshsize and distance between the exact and approximate boundary

    Galerkin least squares finite element method for the obstacle problem

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    We construct a consistent multiplier free method for the finite element solution of the obstacle problem. The method is based on an augmented Lagrangian formulation in which we eliminate the multiplier by use of its definition in a discrete setting. We prove existence and uniqueness of discrete solutions and optimal order a priori error estimates for smooth exact solutions. Using a saturation assumption we also prove an a posteriori error estimate. Numerical examples show the performance of the method and of an adaptive algorithm for the control of the discretization error

    Review of the marine fisheries of West Bengal during 2002

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    The continental shelf along West Bengal is wide (nearly 150km),shallow and the sea bottom is muddy.State's annual income from marine sector has accounced for more than Rs.460 crores, at the first sale

    Cut finite element methods for coupled bulk–surface problems

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    We develop a cut finite element method for a second order elliptic coupled bulk-surface model problem. We prove a priori estimates for the energy and L2L2 norms of the error. Using stabilization terms we show that the resulting algebraic system of equations has a similar condition number as a standard fitted finite element method. Finally, we present a numerical example illustrating the accuracy and the robustness of our approach

    The influence of pre-experimental experience on social discrimination in rats (Rattus norvegicus)

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    The authors used laboratory rats (Rattus norvegicus) of known relatedness and contrasting familiarity to assess the potential effect of preexperimental social experience on subsequent social recognition. The authors used the habituation-discrimination technique, which assumes that multiple exposures to a social stimulus (e.g., soiled bedding) ensure a subject discriminates between the habituation stimulus and a novel stimulus when both are introduced simultaneously. The authors observed a strong discrimination if the subjects had different amounts of preexperimental experience with the donors of the 2 stimuli but a weak discrimination if the subjects had either equal amounts of preexperimental experience or no experience with the stimuli. Preexperimental social experience does, therefore, appear to influence decision making in subsequent social discriminations. Implications for recognition and memory research are discussed

    A Cut Finite Element Method for the Bernoulli Free Boundary Value Problem

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    We develop a cut finite element method for the Bernoulli free boundary problem. The free boundary, represented by an approximate signed distance function on a fixed background mesh, is allowed to intersect elements in an arbitrary fashion. This leads to so called cut elements in the vicinity of the boundary. To obtain a stable method, stabilization terms is added in the vicinity of the cut elements penalizing the gradient jumps across element sides. The stabilization also ensures good conditioning of the resulting discrete system. We develop a method for shape optimization based on moving the distance function along a velocity field which is computed as the H1H^1 Riesz representation of the shape derivative. We show that the velocity field is the solution to an interface problem and we prove an a priori error estimate of optimal order, given the limited regularity of the velocity field across the interface, for the the velocity field in the H1H^1 norm. Finally, we present illustrating numerical results
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