The case for joined-up research on carbon emissions from the building stock: adding value to household and building energy datasets

To reach UK objectives for reducing carbon emissions, it is argued that joined-up research on energy use in buildings is essential to develop and support government policy initiatives. The performance based approach introduced in Part-L of the 2006 Building Regulations has further underlined the role of coordinated research to monitor their effectiveness and provide feedback for subsequent revisions. Unfortunately, differences in dwelling classifications systems used in major household surveys currently hinder much of the supporting analysis that might improve SAP and other energy models. The Carbon Reduction in Buildings project has begun a process of integrating or organising existing building energy datasets into a coherent structure for the domestic sector. In addition, it is proposed to archive these for researchers via a building data repository that would facilitate joined-up research more widely

Effectiveness of computer-based auditory training in improving the perception of noise-vocoded speech

Five experiments were designed to evaluate the effectiveness of “high-variability” lexical training in improving the ability of normal-hearing subjects to perceive noise-vocoded speech that had been spectrally shifted to simulate tonotopic misalignment. Two approaches to training were implemented. One training approach required subjects to recognize isolated words, while the other training approach required subjects to recognize words in sentences. Both approaches to training improved the ability to identify words in sentences. Improvements following a single session (lasting 1–2 h) of auditory training ranged between 7 and 12 %pts and were significantly larger than improvements following a visual control task that was matched with the auditory training task in terms of the response demands. An additional three sessions of word- and sentence-based training led to further improvements, with the average overall improvement ranging from 13 to 18 %pts. When a tonotopic misalignment of 3 mm rather than 6 mm was simulated, training with several talkers led to greater generalization to new talkers than training with a single talker. The results confirm that computer-based lexical training can help overcome the effects of spectral distortions in speech, and they suggest that training materials are most effective when several talkers are included

Milton Keynes Park Revisited: changes in internal temperatures

27-30 April 2006 The Carbon Reduction in Buildings project has undertaken a pilot longitudinal survey based on a study of 160 ‘low-energy’ homes in 1989 in Milton Keynes Energy Park. In that study, a sub-sample of 29 dwellings was monitored on an hourly basis for internal temperature for the living room and main bedroom over 2 years. The follow up study has been in progress since 2005 and consists of 15 dwellings from the original detailed survey. Findings include that under an average daily external temperature of 5 ºC, internal temperatures were predicted from regression analysis to be 20.1ºC (95%CI:19.7, 20.5) for the living room in 2005 and 19.5 ºC (95 %CI:19.1, 19.9) for the bedroom. This was not significantly different from the 1990 baseline study, except for main bedroom evening temperatures (6pm-11pm) which were found to have decreased by -1.3°C (95%CI -2.4, 0.08; p-value 0.04). This may be indicative of higher ventilation rates since almost all participants in 2005 reported opening bedroom windows through winter

How useful are building energy models for policy? A UK perspective

Energy demand models are central to the efforts of many governments to reduce carbon emissions from buildings. The lack of empirical research to ensure the appropriate use of predictions from the models has implications for building regulations and evaluating policy initiatives. We present three recent examples from the UK that highlight challenges: the discovery of a heat by-pass in party walls, trends in household gas consumption and the impact of condensing boilers, and inter-model variation in the non-domestic sector. We emphasise and contrast the approach of health sciences to support policy, and suggest that a far more systematic and integrated approach between empirical research, model development, and policy evaluation is needed

METHODS OF CALCULATION OF MSW STRUCTURES

The paper reviews the existing methods for the solution of structures supporting propaga- tion of magnetostatic waves. Due to the fact that these are mostly multilayered structures the mostly used numerical techniques for their calculation are the method of the surface permeability, finite element method and the boundary element method. Because each of them is more or less suitable in special cases, the advantages of each are discussed and pointed out in the paper. The general magnetic anisotropy formulation has been introduced into boundary element method

One‐Speed Neutron Transport in Two Adjacent Half‐Spaces

Using Case's method for solving the one‐speed transport equation with isotropic scattering, the Milne problem solution, the solution for a constant source in one half‐space, and the Green's function solution are obtained for two adjacent half‐spaces. These problems have been solved previously by other methods. Here the derivations are greatly simplified by using Case's method.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/71048/2/JMAPAQ-5-5-668-1.pd

Who knows who we are? Questioning DNA analysis in disaster victim identification

The use of DNA analysis as a mode of identification of disaster victims has become increasingly predominant to other, traditional, methods of identification in recent years. Scientific advances of the technological processes, high-profile use in identification efforts across the globe (such as after 9/11 or in the Asian Tsunami of 2004), and its inclusion in popular media, have led to its popular adoption as one of the primary modes of identification in disaster scenarios, and to the expectation of its use in all cases by the lay public and media. It is increasingly argued to be integral to post-disaster management. However, depending on the circumstances, location, and type of disaster, this technology may not be appropriate, and its use may instead conflict with socio-political and cultural norms and structures of power. Using examples primarily from Cambodia and Iraq this article will explore what these conflicts may be, and in doing so, question the expanding assumption that DNA analysis is a universally appropriate intervention in disaster victim identification. It will argue instead that its use may be a result of a desire for the political and social capital that this highly prestigious technological intervention offers rather than a solely humanitarian intervention on behalf of survivors and the dead