Kinetic studies in the electrocrystallisation of metals

PhD thesisNone availabl

Electric and hydrogen buses : Shifting from conventionally fuelled cars in the UK

This research was carried out under the UK Energy Research Centre (UKERC) as part of the ADdressing Valuation of Energy and Nature Together (ADVENT) funded project. Funding was received from the Natural Environment Research Council (NE/M019691/1), United Kingdom and the School of Biological Sciences, University of Aberdeen, United Kingdom. The authors would also like to thank Dr Christian Brand, University of Oxford, for giving them access to the Transport Energy and Air Pollution Model UK (TEAM - UK).Peer reviewedPublisher PD

Electric and hydrogen rail : Potential contribution to net zero in the UK

Acknowledgements  This research was carried out under the UK Energy Research Centre (UKERC) as part of the ADdressing Valuation of Energy and Nature Together (ADVENT) funded project. Funding was received from the Natural Environment Research Council (NE/M019691/1), United Kingdom and the School of Biological Sciences, University of Aberdeen, United Kingdom. The authors would also like to thank Dr Christian Brand, University of Oxford, for giving them access to the Transport Energy and Air Pollution Model (TEAM-UK).Peer reviewedPublisher PD

The application of travel demand management initiatives within a university setting

This research was undertaken as part of the UK Energy Research Centre (UKERC) research programme under the ADdressing Valuation of Energy and Nature Together (ADVENT) project, funded by the Natural Environment Research Council (NE/M019691/1) United Kingdom. Funding was also received from the School of Biological Sciences at the University of Aberdeen, United Kingdom. The authors would like to thank Dr Kate Pangbourne, The University of Leeds, for their detailed and constructive feedback on this paper. The authors would also like to acknowledge Dr Alex Douglas for their input in the methodology.Peer reviewedPostprin

The effect of variable labels on deep learning models trained to predict breast density

Purpose: High breast density is associated with reduced efficacy of mammographic screening and increased risk of developing breast cancer. Accurate and reliable automated density estimates can be used for direct risk prediction and passing density related information to further predictive models. Expert reader assessments of density show a strong relationship to cancer risk but also inter-reader variation. The effect of label variability on model performance is important when considering how to utilise automated methods for both research and clinical purposes. Methods: We utilise subsets of images with density labels to train a deep transfer learning model which is used to assess how label variability affects the mapping from representation to prediction. We then create two end-to-end deep learning models which allow us to investigate the effect of label variability on the model representation formed. Results: We show that the trained mappings from representations to labels are altered considerably by the variability of reader scores. Training on labels with distribution variation removed causes the Spearman rank correlation coefficients to rise from $0.751\pm0.002$ to either $0.815\pm0.006$ when averaging across readers or $0.844\pm0.002$ when averaging across images. However, when we train different models to investigate the representation effect we see little difference, with Spearman rank correlation coefficients of $0.846\pm0.006$ and $0.850\pm0.006$ showing no statistically significant difference in the quality of the model representation with regard to density prediction. Conclusions: We show that the mapping between representation and mammographic density prediction is significantly affected by label variability. However, the effect of the label variability on the model representation is limited

Japan and the UK : Emission predictions of electric and hydrogen rail to 2050

Acknowledgements This research was carried out under the UK Energy Research Centre (UKERC) as part of the ADdressing Valuation of Energy and Nature Together (ADVENT) funded project. Funding was received from the Natural Environment Research Council (NE/M019691/1), United Kingdom and the School of Biological Sciences, University of Aberdeen, United Kingdom. Funding was also received from the Postgraduate Research Grant from University of Aberdeen, United Kingdom. This work has also emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under the SFI Strategic Partnership Programme Grant number SFI/15/SPP/E3125. The authors would also like to thank Dr Christian Brand, University of Oxford, for giving them access and guidance regarding the Trans- port Energy and Air Pollution Model (TEAM‐UK).Peer reviewedPublisher PD

The influence of baffle fairings on the acoustic performance of rectangular splitter silencers

A numerical model based on the finite element method is developed for a finite length, HVAC splitter silencer. The model includes an arbitrary number of bulk-reacting splitters separated from the airway by a thin perforated metal sheet and accommodates higher order modes in the incident sound field. Each perforated sheet is joined to rigid, impervious, metallic fairing situated at either end of a splitter. The transmission loss for the silencer is quantified by application of the point collocation technique, and predictions are compared to experimental measurements reported in the literature. The splitter fairing is shown to significantly affect silencer performance, especially when higher order incident modes are present. It is concluded that laboratory measurements, and theoretical predictions, that are based on a predominantly plane wave sound source are unlikely to reflect accurately the true performance of an HVAC silencer in a real ducting system

Energy-dependent tunneling from few-electron dynamic quantum dots

We measure the electron escape rate from surface-acoustic-wave dynamic quantum dots (QDs) through a tunnel barrier. Rate equations are used to extract the tunneling rates, which change by an order of magnitude with tunnel-barrier-gate voltage. We find that the tunneling rates depend on the number of electrons in each dynamic QD because of Coulomb energy. By comparing this dependence to a saddle-point-potential model, the addition energies of the second and third electron in each dynamic QD are estimated. The scale (similar to a few meV) is comparable to those in static QDs as expected

Open building for a kaleidoscope of care: a new conceptual approach to open scenario planning

Open scenario planning, in a market such as healthcare infrastructure where change at every scale is inevitable, provides a significant opportunity. Healthcare, which comprises a complex mix of people, technology, buildings and other forms of infrastructure, is facing huge pressures. As such healthcare trusts are looking to make better use of resources; decrease carbon emissions; and re-think how they can act in a more sustainable and integrated way. Within the UK National Health Service, “taking care closer to home” and “saving carbon, improving health” are two of a number of Department of Health (DH) initiatives to improve healthcare and respond to the need for sustainable, accessible, efficient and effective services. Furthermore these are also the drivers for integration between health, social care, local authority, independent and third sector providers which is creating blurring between spatial scales and roles. Against this backdrop it is not surprising that the effective life span of buildings is continuing to shorten, which is significant in a sector that has infrastructure that is one of the most expensive to operate, maintain and replace. As such the notion of “change ready” is key. This paper through a state-of-the-art literature review introduces and explores the potential and conceptual linkage between infrastructure, capacity and scalability within open building and planning extending (Astley, 2009; Kendall, 2009). The authors’ collaborative and action research has contributed to the development of a new approach and this research has identified the need for a flexible, dynamic and scenario based approach to planning that goes beyond estates strategy and beyond master planning and which precedes open building. The diversity of care pathways across a changing healthcare planning environments is demonstrated using a case study review, which raises the importance of a hierarchy of decision making, principles and process within an open planning approach. This paper further provides a review of existing business case development processes and capacity planning tools that are prevalent in healthcare strategic planning and operations management, but not so in adaptability research. Scalability as a concept that can bridge the healthcare and estates infrastructure domains is also introduced