Protected states and metastable dynamics in superconducting circuits

The twin fields of superconducting circuits and circuit quantum electrodynamics now form the basis for a major part of the effort towards building a quantum computer. Yet many fundamental problems remain. These may range from very practical considerations, such as how to construct a qubit with a sufficiently long coherence time, to questions of how best to understand and model the complex nonlinear dynamics arising in superconducting circuits. In this thesis we take a broad look at these fields and explore many questions within them. We begin by studying critical slowing down in a dissipative phase transition of a coupled qubit-cavity system, before examining the underlying dynamics of switching between metastable states which causes this slowdown. We then examine an unexplained phenomenon of resonance narrowing in another qubit-cavity system and suggest it may also be related to metastable states. Finally, we examine a circuit which harnesses long range interactions, and present it as a promising candidate for building a qubit with a long coherence time

A multilevel analysis of the use of individual pay-for-performance systems

Compensation systems such as individualized pay for performance (I-PFP) schemes for employees represent an important approach to aligning employer-employee interests. However, the adoption of I-PFP is much less common in many countries than in the USA. Employing a multi-level analysis of over 4,000 firms in 26 countries, we explore determinants of its adoption. At the country level we distinguish between cultural and institutional (labor regulation institutions) influences. At the firm level, we distinguish firms that view HR as strategically important and firms that are foreign-owned. On the one hand, our findings indicate that both cultural and institutional effects at country level significantly influence the adoption of I-PFP. On the other hand, senior managers’ agency counts. We find the effect of labor regulation on I-PFP to be mediated by its effects on labor union influence and we find the effects of culture on I-PFP to be entirely mediated by labor regulation and (country level) union influence

Patient feedback and duration of treatment:A corpus-based analysis of written comments on cancer care in England

This study examines the relationship between the length of time since a patient received their first treatment for cancer and the feedback they give on that treatment. The analysis is based on a corpus of 214,340 written patient comments (14,403,694 words) relating to National Health Service (NHS) cancer care in England between 2015 and 2018. Patients are grouped according to treatment duration and compared in terms of the feedback ratings they gave, the themes of their positive and negative comments, and the keywords that characterise the language they use to provide qualitative evaluations of their experiences. We find that patient satisfaction rates remain relatively stable across the treatment duration groups, with patients generally indicating high levels of satisfaction. Patients focus on a small number of core themes in their feedback, regardless of treatment duration, though there are differences in the extent to which certain themes are focused on by each group. Our analysis of keywords reveals differences in the focus of the comments, as well as in the types of rhetorical strategies that patients (particularly those receiving treatment for longer periods) use, not only to frame but also to legitimise their feedback. The implications of the findings are discussed with respect to healthcare provision and feedback monitoring. We also discuss the value of combining a focus on content with form when working with non-linguist stakeholders, and reflect on the opportunities and challenges of convincing stakeholders of the value of using (corpus) linguistic methods to approach seemingly non-linguistic questions

Echolocation detections and digital video surveys provide reliable estimates of the relative density of harbour porpoises

Acknowledgements We would like to thank Erik Rexstad and Rob Williams for useful reviews of this manuscript. The collection of visual and acoustic data was funded by the UK Department of Energy & Climate Change, the Scottish Government, Collaborative Offshore Wind Research into the Environment (COWRIE) and Oil & Gas UK. Digital aerial surveys were funded by Moray Offshore Renewables Ltd and additional funding for analysis of the combined datasets was provided by Marine Scotland. Collaboration between the University of Aberdeen and Marine Scotland was supported by MarCRF. We thank colleagues at the University of Aberdeen, Moray First Marine, NERI, Hi-Def Aerial Surveying Ltd and Ravenair for essential support in the field, particularly Tim Barton, Bill Ruck, Rasmus Nielson and Dave Rutter. Thanks also to Andy Webb, David Borchers, Len Thomas, Kelly McLeod, David L. Miller, Dinara Sadykova and Thomas Cornulier for advice on survey design and statistical approache. Data Accessibility Data are available from the Dryad Digital Repository: http://dx.doi.org/10.5061/dryad.cf04gPeer reviewedPublisher PD

Generative AI for corpus approaches to discourse studies: a critical evaluation of ChatGPT

This paper explores the potential of generative artificial intelligence technology, specifically ChatGPT, for advancing corpus approaches to discourse studies. The contribution of artificial intelligence technologies to linguistics research has been transformational, both in the contexts of corpus linguistics and discourse analysis. However, shortcomings in the efficacy of such technologies for conducting automated qualitative analysis have limited their utility for corpus approaches to discourse studies. Acknowledging that new technologies in data analysis can replace and supplement existing approaches, and in view of the potential affordances of ChatGPT for automated qualitative analysis, this paper presents three replication case studies designed to investigate the applicability of ChatGPT for supporting automated qualitative analysis within studies using corpus approaches to discourse analysis. The findings indicate that, generally, ChatGPT performs reasonably well when semantically categorising keywords; however, as the categorisation is based on decontextualised keywords, the categories can appear quite generic, limiting the value of such an approach for analysing corpora representing specialised genres and/or contexts. For concordance analysis, ChatGPT performs poorly, as the results include false inferences about the concordance lines and, at times, modifications of the input data. Finally, for function-to-form analysis, ChatGPT also performs poorly, as it fails to identify and analyse direct and indirect questions. Overall, the results raise questions about the affordances of ChatGPT for supporting automated qualitative analysis within corpus approaches to discourse studies, signalling issues of repeatability and replicability, ethical challenges surrounding data integrity, and the challenges associated with using non-deterministic technology for empirical linguistic research

Determining the probability of cyanobacterial blooms: the application of Bayesian networks in multiple lake systems

A Bayesian network model was developed to assess the combined influence of nutrient conditions and climate on the occurrence of cyanobacterial blooms within lakes of diverse hydrology and nutrient supply. Physicochemical, biological, and meteorological observations were collated from 20 lakes located at different latitudes and characterized by a range of sizes and trophic states. Using these data, we built a Bayesian network to (1) analyze the sensitivity of cyanobacterial bloom development to different environmental factors and (2) determine the probability that cyanobacterial blooms would occur. Blooms were classified in three categories of hazard (low, moderate, and high) based on cell abundances. The most important factors determining cyanobacterial bloom occurrence were water temperature, nutrient availability, and the ratio of mixing depth to euphotic depth. The probability of cyanobacterial blooms was evaluated under different combinations of total phosphorus and water temperature. The Bayesian network was then applied to quantify the probability of blooms under a future climate warming scenario. The probability of the "high hazardous" category of cyanobacterial blooms increased 5% in response to either an increase in water temperature of 0.8°C (initial water temperature above 24°C) or an increase in total phosphorus from 0.01 mg/L to 0.02 mg/L. Mesotrophic lakes were particularly vulnerable to warming. Reducing nutrient concentrations counteracts the increased cyanobacterial risk associated with higher temperatures

Far-field effects of impulsive noise on coastal bottlenose dolphins

ACKNOWLEDGMENTS We would like to thank Bill Ruck, Moray First Marine and colleagues from the University of Aberdeen for assistance with the data collection. We are also grateful to Drs. Nathan Merchant and Adrian Farcas (CEFAS) for the provision of the data on the noise modeling and their valuable comments during the development of this work. The project benefited at all stages from input provided by the scientific steering groups and stakeholder groups established by UK and Scottish Governments to support the work conducted around these regional oil and gas and renewables projects. FUNDING Financial support for this study was provided through a series of consortia funded projects that involved the UK Department of Energy and Climate Change (DECC), Scottish Government, Oil and Gas UK Ltd., COWRIE, NatureScot, The Crown Estate, Highlands and Islands Enterprise, Beatrice Offshore Wind Ltd., and Moray Offshore Wind Farm (East) Ltd. OFB was funded by the Fundación “la Caixa” (Becas Posgrado, 2015) and their support was greatly appreciated. The authors declare that this study received funding from three commercial developers: Oil and Gas UK Ltd., Beatrice Offshore Wind Ltd., and Moray Offshore Wind Farm (East) Ltd. However, these funding bodies had no input into the study design, data collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.Peer reviewedPublisher PD

Representations of obesity in Australian and UK news coverage : A diachronic comparison

In both Australia and the UK, the number of adults living with obesity has been increasing over the last 30 years (AIHW, 2023; Baker, 2023). Although policy has emphasised ‘community-based interventions’ in Australia (AIHW, 2017) and ‘system-wide approaches’ in the UK (Ulijaszek and McLennan, 2016) for overcoming the challenges of obesity, previous research has shown that media representations have been dominated by representations promoting individual responsibility (e.g., Kim & Willis, 2007). In this paper, we report our observations of representations documented in corpora of media coverage from Australia and the UK between 2008-2017. The corpora amount to 16.4 million tokens and 36 million tokens, respectively. We identify key semantic domains for each year of the corpora and discuss both consistent and shifting themes in the data. Our findings show that the Australian coverage provides a more sustained focus on responses to obesity at the societal level, referring to practices in the food industry and differences between communities that can lead to health disparities. By comparison, while there is an increase in the amount of coverage in the UK press referring to obesity, the content became more narrowly focussed on food consumption and weight loss over the study period. The findings demonstrate how media coverage contributes to public understanding of how to respond to the challenges of obesity

Moving Forwards by Blocking Back-Flow: The Yin and Yang of MI Therapy.

Mitochondrial reactive oxygen species production has emerged as an important pathological mechanism in myocardial ischemia/reperfusion injury. Attempts at targeting reactive oxygen species by scavenging using antioxidants have, however, been clinically disappointing. This review will provide an overview of the current understanding of mitochondrial reactive oxygen species in ischemia/reperfusion injury. We will outline novel therapeutic approaches designed to directly target the mitochondrial respiratory chain and prevent excessive reactive oxygen species production and its associated pathology. This approach could lead to more effective interventions in an area where there is an urgent need for new treatments.Work in our laboratories is supported by the Medical Research Council (UK) and the British Heart Foundation.This is the author accepted manuscript. The final version is available from the American Heart Association via http://dx.doi.org/10.1161/CIRCRESAHA.115.30656