The bitter taste of payback: the pathologising effect of TV revengendas

The thirst for vengeance is a timeless subject in popular entertainment. One need only think of Old Testament scripture; Shakespeare\u27s Hamlet; Quentin Tarantino\u27s Kill Bill or the TV series Revenge, and we immediately conjure up images of a protagonist striving to seek justice to avenge a heinous wrong committed against them. These texts, and others like it, speak to that which is ingrained in our human spirit about not only holding others responsible for their actions, but also about retaliation as payback. This article seeks to problematise the way the popular revenge narrative effectively constructs the vendetta as a guilty pleasure through which the audience can vicariously gain satisfaction, while at the same time perpetuates law\u27s rhetoric that personal desires for vengeance are to be repressed and denied. In particular, the article will demonstrate the way such popular revenge narratives contribute to the pathologising of human desire for payback

An inexact dual logarithmic barrier method for solving sparse semidefinite programs

A dual logarithmic barrier method for solving large, sparse semidefinite programs is proposed in this paper. The method avoids any explicit use of the primal variable X and therefore is well-suited to problems with a sparse dual matrix S. It relies on inexact Newton steps in dual space which are computed by the conjugate gradient method applied to the Schur complement of the reduced KKT system. The method may take advantage of low-rank representations of matrices Ai to perform implicit matrix-vector products with the Schur complement matrix and to compute only specific parts of this matrix. This allows the construction of the partial Cholesky factorization of the Schur complement matrix which serves as a good preconditioner for it and permits the method to be run in a matrix-free scheme. Convergence properties of the method are studied and a polynomial complexity result is extended to the case when inexact Newton steps are employed. A Matlab-based implementation is developed and preliminary computational results of applying the method to maximum cut and matrix completion problems are reported

Development and regeneration of the vertebrate brain

The vertebrate brain is hierarchically assembled about orthogonal axes using organizing centers that control cascades of signaling events. The reiterative generation of these centers at defined times, and in precise spatial locations, leads to the conversion of a contiguous and homogenous epithelial sheet into the most complex biological tissue in the animal kingdom. The critical events orchestrating the construction of a "typical" vertebrate brain are described. Attention is focused on specification of major brain regions common across the vertebrate phylogeny, rather than on the differentiation of constituent cell types and specific cytoarchitectures. By uncloaking the complex spatial interactions that unfold temporally during the build of the vertebrate brain, it becomes clear why regeneration of this tissue following injury is such a challenging task. And yet, while mammalian brains fail to regenerate, the brains of non-mammalian vertebrates, such as teleosts, reptiles and amphibians, can successfully reconstitute brain tissue following traumatic injury. Understanding the molecular and cellular bases of this remarkable regenerative capacity is revealing the importance of developmental programs, as well as exposing unexpected roles for extraneous processes such as inflammation. Recent discoveries are now fuelling hope for future therapeutic approaches that will ameliorate the debilitating consequences of brain injury in humans