NONPERTURBATIVE HQET AT ORDER 1/m

We summarize the first results for masses and decay constants of bottom-strange (pseudo-scalar and vector) mesons from nonperturbatively renormalized heavy-quark effective theory (HQET), using lattice-QCD simulations in the quenched approximation.

HQET at order 1/m: II. Spectroscopy in the quenched approximation

Using Heavy Quark Effective Theory with non-perturbatively determined parameters in a quenched lattice calculation, we evaluate the splittings between the ground state and the first two radially excited states of the B(s) system at static order. We also determine the splitting between first excited and ground state, and between the B(s)* and B(s) ground states to order 1/m(b). The Generalized Eigenvalue Problem and the use of all-to-all propagators are important ingredients of our approach.

Recording from Two Neurons: Second-Order Stimulus Reconstruction from Spike Trains and Population Coding

We study the reconstruction of visual stimuli from spike trains, representing the reconstructed stimulus by a Volterra series up to second order. We illustrate this procedure in a prominent example of spiking neurons, recording simultaneously from the two H1 neurons located in the lobula plate of the fly Chrysomya megacephala. The fly views two types of stimuli, corresponding to rotational and translational displacements. Second-order reconstructions require the manipulation of potentially very large matrices, which obstructs the use of this approach when there are many neurons. We avoid the computation and inversion of these matrices using a convenient set of basis functions to expand our variables in. This requires approximating the spike train four-point functions by combinations of two-point functions similar to relations, which would be true for gaussian stochastic processes. In our test case, this approximation does not reduce the quality of the reconstruction. The overall contribution to stimulus reconstruction of the second-order kernels, measured by the mean squared error, is only about 5% of the first-order contribution. Yet at specific stimulus-dependent instants, the addition of second-order kernels represents up to 100% improvement, but only for rotational stimuli. We present a perturbative scheme to facilitate the application of our method to weakly correlated neurons.

Second-order negative-curvature methods for box-constrained and general constrained optimization

A Nonlinear Programming algorithm that converges to second-order stationary points is introduced in this paper. The main tool is a second-order negative-curvature method for box-constrained minimization of a certain class of functions that do not possess continuous second derivatives. This method is used to define an Augmented Lagrangian algorithm of PHR (Powell-Hestenes-Rockafellar) type. Convergence proofs under weak constraint qualifications are given. Numerical examples showing that the new method converges to second-order stationary points in situations in which first-order methods fail are exhibited.

Perfect Simulation of a Coupling Achieving the (d)over-bar-distance Between Ordered Pairs of Binary Chains of Infinite Order

We explicitly construct a stationary coupling attaining Ornstein`s (d) over bar -distance between ordered pairs of binary chains of infinite order. Our main tool is a representation of the transition probabilities of the coupled bivariate chain of infinite order as a countable mixture of Markov transition probabilities of increasing order. Under suitable conditions on the loss of memory of the chains, this representation implies that the coupled chain can be represented as a concatenation of i.i.d. sequences of bivariate finite random strings of symbols. The perfect simulation algorithm is based on the fact that we can identify the first regeneration point to the left of the origin almost surely.

Influence diagnostics for linear models with first-order autoregressive elliptical errors

We introduce in this paper the class of linear models with first-order autoregressive elliptical errors. The score functions and the Fisher information matrices are derived for the parameters of interest and an iterative process is proposed for the parameter estimation. Some robustness aspects of the maximum likelihood estimates are discussed. The normal curvatures of local influence are also derived for some usual perturbation schemes whereas diagnostic graphics to assess the sensitivity of the maximum likelihood estimates are proposed. The methodology is applied to analyse the daily log excess return on the Microsoft whose empirical distributions appear to have AR(1) and heavy-tailed errors. (C) 2008 Elsevier B.V. All rights reserved.

Molecular characterization of nitrate reductase gene and its expression in the marine red alga Gracilaria tenuistipitata (Rhodophyta)

The enzyme nitrate reductase (NR) responsible for the conversion of nitrate to nitrite is considered to be the rate-limiting step in nitrogen assimilation. The economically important marine macroalga Gracilaria tenuistipitata presents a circadian oscillation in NR protein content and activity. In order to identify if the regulation of NR in G. tenuistipitata happens at transcriptional levels, the NR cDNA and gene were sequenced and the NR mRNA expression was studied. Analysis of the sequenced gene revealed absence of introns which is unusual for NR genes. The transcriptional profiling revealed a circadian rhythm for NR; furthermore, a rhythm was observed in constant light condition, suggesting a possible regulation by the biological clock at the mRNA levels for NR in G. tenuistipitata.

Learning in and through drama : The necessity to use multiple theoretical perspectives in order to understand how learning takes place in drama

The complexity of learning implies that learning seldom is about just one thing. It can be said that learning processes are interdisciplinary. Within educational contexts, learning is not limited to constructed school subjects. In drama education, learning is simultaneously about drama as aesthetic expression and content because drama always is about something. The mainly focus can be on form, content or social aspects. The different aspects are always present, but may be more or less foreground or the background depending on the purpose of education. How do development concerning understanding of form, content, and social interaction, interact in a learning process in drama? My research is based on the view that learning at the same time takes place as an individual, internal process and a socially situated, inter-subjective process. Can learning in drama imply learning that can be transferred between different situations, a transformative learning and if so, how? Transformative learning includes cognitive, affective and corporal and social action aspects and means that the individual's frames of reference are transformed, evolved, to become more insightful and flexible which implies a change of personality. It leads to an integrated knowledge that can be applied in different contexts.   In the paper that will be presented at the conference, theories about how we learn in drama will be discussed in relation to my empirical research concerning drama and learning.

Towards a post-patriarchal gender order : Confronting the universality and the particularity of violence against women

The issues of gender equality and women’s human rights have become major spheres of academic debate, policy and activism in virtually every corner of the globe. Violence against women, a relative latecomer to the international gender agenda, has provided a particularly critical entry point in challenging long standing gender ideologies and taboos as well as the gender biased mainstream human rights framework that kept, until recently, the gender specific abuses women experience outside of public scrutiny.

1945 - A new order of centuries? : Hannah Arendt and Hermann Broch’s “The Death of Virgil”

Sociologisk Forsknings digitala arkiv

Om lärarskapets moraliska dimension : ett perspektiv och en studie av lärarstuderandes nätbaserade seminariesamtal

In this dissertation, an educational perspective called the moral dimension of teaching is developed. The work includes a theoretically informed discussion from a pragmatist point of view in which the concept of pedagogical rhythm is introduced. The concept captures the need for teachers to regularly shift their intentions and occasionally act in contradictory ways as a consequence of the moral which emerges from interaction in pedagogical situations. Using this perspective, criteria are developed for the characteristics of discussions of the work of teachers, which are desirable in order for students in pre-service teacher education to have opportunities to develop their teachership. Secondly, the educational perspective as it is conceptualised serves as a theoretical framework for a study of discussions taking place in net-based seminars among students in teacher education. The study consists of 14 recorded seminars in which discussions of the work of teachers are analysed in terms of content and direction for reflection. The result of the analysis is a construction of four different focal points for processes of making judgements: existential, performative, critical and professional. Mainly the performative, and to some extent the critical, focal points appear to be supported by the net-based environment, although potential for the professional focal point is found when available tools in net-based settings are used in deliberate ways. Finally, based on these four focal points, possible future predispositions among student teachers are deliberated. Student teachers’ future opportunities to develop a moral and epistemological authority are discussed, as well as teachers’ general opportunities to exercise professional responsibility. The conclusion emphasises that a perspective such as the one developed in the dissertation is important, as it creates an understanding for the need to educate student teachers to exercise a form of responsibility that goes beyond being accountable to society.