Repressive desublimation and the great refusal in Bret Easton Ellis's fiction

In 1968, Herbert Marcuse believed that a Great Refusal was possible, one that would deny the exploitative power of corporate capitalism. Marcuse's vision was never realised. This essay argues that society today is in an advanced state of that which the Frankfurt School termed repressive desublimation and questions whether a liberationary praxis is still possible. It claims that Bret Easton Ellis's fiction choreographs an internalising of the forms of critique that marked 1968 and about which Marcuse writes. It is Ellis's act of double voicing that allows him to develop a duplicitous recalcitrant voice within the state of assimilation and it is double voicing which emerges as the key technique in Ellis's work that effects an ongoing critique in commodity society. Looking at Slavoj iek's recent revisionism of the notion of repressive desublimation, which connects Marxism and psychoanalysis, the essay considers how Ellis's novels, American Psycho, Glamorama and Lunar Park, function to address and reconfigure the relationship between the status of the Marxist fetishised object and the psychoanalytic phobic object in the present-day era of late capitalism. This essay seeks to illuminate how Ellis's fiction, through an involution of Marcuse's political theories, enacts a contemporary refusal from within the state of reification.

Unnoticed apocalypse: the science fiction politics of urban crisis

The slogan ‘capitalism is crisis’ is one that has recently circulated swiftly around the global Occupy movement. From Schumpeter to Marx himself, the notion that the economic cycles instituted by capitalism require periodic crises as a condition of renewed capital accumulation is a commonplace. However, in a number of recent texts, this conception of crisis as constituting the very form of urban capitalist development itself has taken on a more explicitly apocalyptic tone, exemplified by the Invisible Committee's influential 2007 book The Coming Insurrection, and its account of what it calls simply ‘the metropolis’. ‘It is useless to wait’, write the text's anonymous authors, ‘for a breakthrough, for the revolution, the nuclear apocalypse or a social movement.… The catastrophe is not coming, it is here.’ In considering such an apocalyptic tone, this paper thus situates and interrogates the text in terms both of its vision of the metropolis as a terrain of total urbanization and its effective spatialization of the present as itself a kind of ‘unnoticed’ apocalypse: the catastrophe which is already here. It does so by approaching this not only apropos its place within contemporary debates surrounding leftist politics and crisis theory but also via its imaginative intersection with certain post-1960s science fiction apocalyptic motifs. What, the paper asks, does it mean to think apocalypse as the ongoing condition of the urban present itself, as well as the opening up of political and cultural opportunity for some speculative exit from its supposedly endless terrain?

3D Reconstruction of Medical Images from Slices Automatically Landmarked with Growing Neural Models

In this study, we utilise a novel approach to segment out the ventricular system in a series of high resolution T1-weighted MR images. We present a brain ventricles fast reconstruction method. The method is based on the processing of brain sections and establishing a fixed number of landmarks onto those sections to reconstruct the ventricles 3D surface. Automated landmark extraction is accomplished through the use of the self-organising network, the growing neural gas (GNG), which is able to topographically map the low dimensionality of the network to the high dimensionality of the contour manifold without requiring a priori knowledge of the input space structure. Moreover, our GNG landmark method is tolerant to noise and eliminates outliers. Our method accelerates the classical surface reconstruction and filtering processes. The proposed method offers higher accuracy compared to methods with similar efficiency as Voxel Grid.

Analyzing and Modeling Medical Data on Distributed Computing Infrastructures

Researchers want to analyse Health Care data which may requires large pools of compute and data resources. To have them they need access to Distributed Computing Infrastructures (DCI). To use them it requires expertise which researchers may not have. Workflows can hide infrastructures. There are many workflow systems but they are not interoperable. To learn a workflow system and create workflows in a workflow system may require significant effort. Considering these efforts it is not reasonable to expect that researchers will learn new workflow systems if they want to run workflows of other workflow systems. As a result, the lack of interoperability prevents workflow sharing and a vast amount of research efforts is wasted. The FP7 Sharing Interoperable Workflow for Large-Scale Scientific Simulation on Available DCIs (SHIWA) project developed the Coarse-Grained Interoperability (CGI) to enable workflow sharing. The project created the SHIWA Simulation Platform (SSP) to support CGI as a production-level service. The paper describes how the CGI approach can be used for analysis and simulation in Health Care.

Image, video and 3D data registration: medical, satellite and video processing applications with quality metrics

Data registration refers to a series of techniques for matching or bringing similar objects or datasets together into alignment. These techniques enjoy widespread use in a diverse variety of applications, such as video coding, tracking, object and face detection and recognition, surveillance and satellite imaging, medical image analysis and structure from motion. Registration methods are as numerous as their manifold uses, from pixel level and block or feature based methods to Fourier domain methods. This book is focused on providing algorithms and image and video techniques for registration and quality performance metrics. The authors provide various assessment metrics for measuring registration quality alongside analyses of registration techniques, introducing and explaining both familiar and state–of–the–art registration methodologies used in a variety of targeted applications.