What are Little Boys Made Of, Made of? Victorian Art and the Formation of Gender

Given that educators increasingly have to integrate social and moral education within the general curriculum, this paper considers ways in which the visual arts may or may not be a useful resource for challenging the stereotypical preconceptions about gender and sexual identity held by many people in a post-industrial, intercultural society. Focusing on Tate Britain’s inaugural exhibition for the opening of its new galleries, ‘Exposed: the Victorian Nude’, the paper examines a selection of artefacts that are assumed to represent the sexual mores of Britain at a pivotal time in the construction of its national identity. With reference to the social history of art and feminist theoretical ‘interventions’, the exhibits are analysed as possible evidence of the Victorians’ ‘skills, beliefs and values about sexual relationships, identity and intimacy’ the lifelong study of which provides the Sex Education Forum (1997:1) with a definition of sex education. Subsequently two questions are posed: firstly, what does the exhibition’s selection and hang say about contemporary beliefs? Secondly, can historical artworks be constructively used with young people (post-16) as a catalyst for discussion of sex, gender and sexuality

Conditions for learning: partnerships for engaging secondary pupils with contemporary art

This article examines the findings of the London Cluster research, 'Critical Minds', in which the Institute of Education, University of London (IoE) worked in collaboration with Whitechapel Chapel Art Gallery (the lead London gallery), Bow Arts, Chisenhale Gallery and Space -The Triangle, and four east London comprehensive schools. By collaborating with art departments and by focusing on learning within the gallery context, the research team questioned whether the perceived constraints of traditional art and design pedagogy can be overcome by changing the conditions in which learning takes place. The following analysis focuses on these conditions as outlined in the research report's recommendations. © 2007 NSEAD/Blackwell Publishing Ltd

Spectral Transfer Learning Using Information Geometry for a User-Independent Brain-Computer Interface

Recent advances in signal processing and machine learning techniques have enabled the application of Brain-Computer Interface (BCI) technologies to fields such as medicine, industry, and recreation; however, BCIs still suffer from the requirement of frequent calibration sessions due to the intra- and inter-individual variability of brain-signals, which makes calibration suppression through transfer learning an area of increasing interest for the development of practical BCI systems. In this paper, we present an unsupervised transfer method (spectral transfer using information geometry, STIG), which ranks and combines unlabeled predictions from an ensemble of information geometry classifiers built on data from individual training subjects. The STIG method is validated in both off-line and real-time feedback analysis during a rapid serial visual presentation task (RSVP). For detection of single-trial, event-related potentials (ERPs), the proposed method can significantly outperform existing calibration-free techniques as well as outperform traditional within-subject calibration techniques when limited data is available. This method demonstrates that unsupervised transfer learning for single-trial detection in ERP-based BCIs can be achieved without the requirement of costly training data, representing a step-forward in the overall goal of achieving a practical user-independent BCI system

The Atacama Cosmology Telescope: Sunyaev-Zel'dovich Selected Galaxy Clusters at 148 GHz from Three Seasons of Data

[Abridged] We present a catalog of 68 galaxy clusters, of which 19 are new discoveries, detected via the Sunyaev-Zel'dovich effect (SZ) at 148 GHz in the Atacama Cosmology Telescope (ACT) survey of 504 square degrees on the celestial equator. A subsample of 48 clusters within the 270 square degree region overlapping SDSS Stripe 82 is estimated to be 90% complete for M_500c > 4.5e14 Msun and 0.15 < z < 0.8. While matched filters are used to detect the clusters, the sample is studied further through a "Profile Based Amplitude Analysis" using a single filter at a fixed \theta_500 = 5.9' angular scale. This new approach takes advantage of the "Universal Pressure Profile" (UPP) to fix the relationship between the cluster characteristic size (R_500) and the integrated Compton parameter (Y_500). The UPP scalings are found to be nearly identical to an adiabatic model, while a model incorporating non-thermal pressure better matches dynamical mass measurements and masses from the South Pole Telescope. A high signal to noise ratio subsample of 15 ACT clusters is used to obtain cosmological constraints. We first confirm that constraints from SZ data are limited by uncertainty in the scaling relation parameters rather than sample size or measurement uncertainty. We next add in seven clusters from the ACT Southern survey, including their dynamical mass measurements based on galaxy velocity dispersions. In combination with WMAP7 these data simultaneously constrain the scaling relation and cosmological parameters, yielding \sigma_8 = 0.829 \pm 0.024 and \Omega_m = 0.292 \pm 0.025. The results include marginalization over a 15% bias in dynamical mass relative to the true halo mass. In an extension to LCDM that incorporates non-zero neutrino mass density, we combine our data with WMAP7+BAO+Hubble constant measurements to constrain \Sigma m_\nu < 0.29 eV (95% C. L.).Comment: 32 pages, 21 figures To appear in J. Cosmology and Astroparticle Physic