Evidence from nationalist movements in Scotland and Northern Ireland shows that pragmatism and the ability to adapt are key to electoral success, and that nationalism is still a potent political force.

Contemporary political analysis tends to draw few comparisons between nationalist movements in Scotland and Northern Ireland. However, Eve Hepburn and P. J. McLoughlin argue that in both cases, such movements have adopted variously pro-European positions in order to benefit from opportunities for aid and for greater political representation, and have thus successfully moderated their nationalist ambitions

Cortical Computation of Stereo Disparity

Our ability to see the world in depth is a major accomplishment of the brain. Previous models of how positionally disparate cues to the two eyes are binocularly matched limit possible matches by invoking uniqueness and continuity constraints. These approaches cannot explain data wherein uniqueness fails and changes in contrast alter depth percepts, or where surface discontinuities cause surfaces to be seen in depth although they are registered by only one eye (da Vinci stereopsis). A new stereopsis model explains these depth percepts by proposing how cortical complex cells binocularly filter their inputs and how monocular and binocular complex cells compete to determine the winning depth signals.Defense Advanced Research Projects Agency (N00014-92-J-4015); Air Force Office of Scientific Research (90-0175); Office of Naval Research (N00014-91-J-4100); James S. McDonnell Foundation (94-40); Defense Advanced Research Projects Agency and the Office of Naval Research (N00014-95-1-0409, N00014-95-1-0657

Buying Time 2000: Television Advertising in the 2000 Federal Elections

Summarizes a study of political television advertising in the 2000 federal primaries and elections with a focus on the use of the issue ad loophole to evade campaign finance laws. Questions the standard used to differentiate issue ads from election ads

Serious Games in Cultural Heritage

Although the widespread use of gaming for leisure purposes has been well documented, the use of games to support cultural heritage purposes, such as historical teaching and learning, or for enhancing museum visits, has been less well considered. The state-of-the-art in serious game technology is identical to that of the state-of-the-art in entertainment games technology. As a result the field of serious heritage games concerns itself with recent advances in computer games, real-time computer graphics, virtual and augmented reality and artificial intelligence. On the other hand, the main strengths of serious gaming applications may be generalised as being in the areas of communication, visual expression of information, collaboration mechanisms, interactivity and entertainment. In this report, we will focus on the state-of-the-art with respect to the theories, methods and technologies used in serious heritage games. We provide an overview of existing literature of relevance to the domain, discuss the strengths and weaknesses of the described methods and point out unsolved problems and challenges. In addition, several case studies illustrating the application of methods and technologies used in cultural heritage are presented

Future demand for primary hip and knee arthroplasty in Scotland

ACKNOWLEDGEMENTS The authors are grateful to the Scottish Arthroplasty Project for the data utilised in this manuscript. No funding was received for this study.Peer reviewedPublisher PD

Inside a Digital Experiment: Co-producing Telecare Services for Older People

The problem of the user remains central to information systems research and practice, more so given the importance now given to user-led innovation. Telecare is a much-vaunted example of e-enabled health and social care which, over the past decade or more has received considerable policy attention and investment in Europe and beyond. However, it appears that the technological opportunities offered have not been taken-up in everyday practice and that the engagement of users—service providers and end users—has been identified as a major barrier. This article presents the experience of a European level project that sought to use a form of co-production to engage users in the development of a telecare system for older people. The outcome was a platform with infrastructural properties and a service-orientated architecture better able to support subsequent innovation in use

Improved i-Vector Representation for Speaker Diarization

This paper proposes using a previously well-trained deep neural network (DNN) to enhance the i-vector representation used for speaker diarization. In effect, we replace the Gaussian Mixture Model (GMM) typically used to train a Universal Background Model (UBM), with a DNN that has been trained using a different large scale dataset. To train the T-matrix we use a supervised UBM obtained from the DNN using filterbank input features to calculate the posterior information, and then MFCC features to train the UBM instead of a traditional unsupervised UBM derived from single features. Next we jointly use DNN and MFCC features to calculate the zeroth and first order Baum-Welch statistics for training an extractor from which we obtain the i-vector. The system will be shown to achieve a significant improvement on the NIST 2008 speaker recognition evaluation (SRE) telephone data task compared to state-of-the-art approaches