The great, influential cultural critic, Elisabeth Bronfen, sets out in this book a conversation between literature, cinema and visual culture. The crossmappings facilitated in and between these essays address the cultural survival of image formulas involving portraiture and the uncanny relation between the body and its visual representability, the gendering of war, death and the fragility of life, as well as sovereignty and political power. Each chapter tracks transformations that occur as aesthetic figurations travel from one historical moment to another, but also from one medium to another. Many prominent artists are discussed during these journeys into the cultural imaginary, include Degas, Francesca Woodman, Cindy Sherman, Paul McCarthy, Eva Hesse, Louise Bourgeois, Wagner, Picasso, and Shakespeare, as well as classic Hollywood's film noir and melodrama and the TV series, The Wire and House of Cards.

This study connects the idiosyncratic modernism of Wyndham Lewis, co-founder of the Vorticist art movement, with works of several artists from the British art rock tradition, among them Bryan Ferry, David Bowie, art-punk pioneers Wire and electronic pop musician John Foxx. By taking a transdisciplinary and intermedial approach to texts from two fields normally studied in isolation and staking out the elements of a shared modernist ethos, the book presents a new perspective on both fields relevant to scholars of literature, popular culture, and the visual arts alike. While the book rests on sound research from the fields of literary criticism, art history, and pop theory, the structure and writing of the book is fundamentally designed to be accessible and comprehensible to non-scholarly readers.

Unstructured text, as one of the most important data forms, plays a crucial role in data-driven decision making in domains ranging from social networking and information retrieval to scientific research and healthcare informatics. In many emerging applications, people's information need from text data is becoming multidimensional—they demand useful insights along multiple aspects from a text corpus. However, acquiring such multidimensional knowledge from massive text data remains a challenging task. This book presents data mining techniques that turn unstructured text data into multidimensional knowledge. We investigate two core questions. (1) How does one identify task-relevant text data with declarative queries in multiple dimensions? (2) How does one distill knowledge from text data in a multidimensional space? To address the above questions, we develop a text cube framework. First, we develop a cube construction module that organizes unstructured data into a cube structure, by discovering latent multidimensional and multi-granular structure from the unstructured text corpus and allocating documents into the structure. Second, we develop a cube exploitation module that models multiple dimensions in the cube space, thereby distilling from user-selected data multidimensional knowledge. Together, these two modules constitute an integrated pipeline: leveraging the cube structure, users can perform multidimensional, multigranular data selection with declarative queries; and with cube exploitation algorithms, users can extract multidimensional patterns from the selected data for decision making. The proposed framework has two distinctive advantages when turning text data into multidimensional knowledge: flexibility and label-efficiency. First, it enables acquiring multidimensional knowledge flexibly, as the cube structure allows users to easily identify task-relevant data along multiple dimensions at varied granularities and further distill multidimensional knowledge. Second, the algorithms for cube construction and exploitation require little supervision; this makes the framework appealing for many applications where labeled data are expensive to obtain.

Nonlinear Time Series Analysis with R provides a practical guide to emerging empirical techniques allowing practitioners to diagnose whether highly fluctuating and random appearing data are most likely driven by random or deterministic dynamic forces. Practitioners become 'data detectives' accumulating hard empirical evidence supporting their choice of a modelling approach corresponding to reality. The book is targeted to non-mathematicians with limitedknowledge of nonlinear dynamics; in particular, professionals and graduate students in engineering and the biophysical and social sciences. The book makes readers active learners with hands-on computerexperiments in R code directing them through Nonlinear Time Series Analysis (NLTS). The computer code is explained in detail so that readers can adjust it for use in their own work. The book also provides readers with an explicit framework--condensed from sound empirical practices recommended in the literature--that details a step-by-step procedure for applying NLTS in real-world data diagnostics.

ISKE2009 is the fourth in a series of conferences on Intelligent Systems and Knowledge Engineering. The ISKE2009 proceedings covers state-of-the-art research and development in various areas of Intelligent Systems and Knowledge Engineering, particularly of Intelligent Decision Making Systems.

This book details the key concepts, objectives and processes relating to the professional accreditation of engineering bachelor (honours) degrees. The contemporary context of accreditation is examined in terms of the globalised nature of both the engineering profession and higher education. Examples of the processes relating to single and dual accreditation are provided, with examination of the Washington Accord and the requirements of the European Network for Accreditation of Engineering Education. Details are also provided as to how learning outcomes can be structured to demonstrate compliance with accreditation criteria. The final chapters deal briefly with quality assurance processes used in education and the current international quality ranking systems which exist. This book will provide the reader with a detailed examination of outcome based education within the context of Bachelor of Engineering (honours) degrees. A key feature of this book is the side-by-side comparison of different accreditation criteria and a thorough discussion of the relatively new phenomenon of dual accreditation. The book seeks to provide a very clear explanation and exploration of accreditation within the context of engineering education and will benefit those practitioners involved in the accreditation process.

Natural human communication is multimodal. We pair speech with gestures, and combine writing with pictures from online messaging to comics to advertising. This richness of human communication remains unaddressed in linguistic and cognitive theories which maintain traditional amodal assumptions about language. What is needed is a new, multimodal paradigm. This book posits a bold reorganization of the structures of language, and heralds a reconsideration of its guiding assumptions. Human expressive behaviors like speaking, signing, and drawing may seem distinct, but they decompose into similar cognitive building blocks which coalesce in emergent states from a singular multimodal communicative architecture. This cognitive model accounts for unimodal and multimodal expression across all of our modalities, providing a “grand unified theory” that incorporates insights from formal linguistics, cognitive semantics, metaphor theory, Peircean semiotics, sign language, gesture, visual language, psycholinguistics, and cognitive neuroscience. Such a perspective reconfigures how we understand linguistic structure, diversity, universals, innateness, relativity, and evolution. A Multimodal Language Faculty directly confronts centuries-old notions of language and offers a compelling reimagination of what language is and how it works.