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The COVID-19 Psychological Wellbeing Study was designed and implemented as a rapid survey of the psychosocial impacts of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), known as COVID-19 in residents across the United Kingdom. This study utilised a longitudinal design to collect online survey based data. The aim of this paper was to describe (1) the rationale behind the study and the corresponding selection of constructs to be assessed; (2) the study design and methodology; (3) the resultant sociodemographic characteristics of the full sample; (4) how the baseline survey data compares to the UK adult population (using data from the Census) on a variety of sociodemographic variables; (5) the ongoing efforts for weekly and monthly longitudinal assessments of the baseline cohort; and (6) outline future research directions. We believe the study is in a unique position to make a significant contribution to the growing body of literature to help understand the psychological impact of this pandemic and inform future clinical and research directions that the UK will implement in response to COVID-19. [ABSTRACT FROM AUTHOR]

An increase in the global mean sea level is predicted during the twenty-first century, as a consequence of global average rising temperature projections. In addition, changes in the strength of atmospheric cyclonic storms may alter the development of storm surges, exacerbating the risks to coastal communities. Based on the fact that the interest and range of papers on this topic are growing, this study aims to present the status of the global scientific production on studies that have correlated climate change and the impact of storm surges on the coastal zone leading to erosion and flooding (inundation) via a bibliometric analysis. We analyzed 429 papers published in journals between January 1991 and February 2021 from the Scopus database. Through the VOSviewer and Bibliometrix R package, we describe the most relevant countries, affiliations, journals, authors, and keywords. Our results demonstrate that there has been an exponential growth in the research topic and that authors from the USA and the United Kingdom are the most prolific. Among the 1454 authors found, ten researchers published at least five papers on the topic and obtained at least 453 citations in the period. The most represented journals were the Journal of Coastal Research, Climatic Change, and Natural Hazards. We also found and discuss the lack of standardization in the choice of keywords, of which climate change, storm surge, and sea-level rise are the most frequent. Finally, we have written a guide to facilitate the authors' bibliographic review. [ABSTRACT FROM AUTHOR]

Research on mountain ecosystem services (MES) under the influence of climate change and human activities has gradually become the focus of academic attention in recent years. Here, this study analyzes the research hotspots and frontiers of this field based on metrics including main research forces, core journals and papers, research hotspots and topics by using the methods of bibliometrics and text mining. The results revealed the following: (1) the number of papers is increasing rapidly in recent years. From 2015 to 2019, 929 papers were published, with an average of 185 papers per year. But the average cited times of those papers is declining, dropped from 6.01 in 2016 to 4.2 in 2019. The USA, UK, and China rank the top three of the number of papers. Univ Maryland, Univ Oxford and Univ Wisconsin have the greatest influence, with an average of more than 77 citations per paper; (2) The most cited journals are PNAS, WETLANDS, ECOLOGY, AND SOCIETY, which are cited 191.54, 53.91, and 40.00 respectively. Most papers were published in OA journals including SUSTAINABILITY, WATER, Forests since 2017. Ten core papers undertaking knowledge transfer in this field have been identified; (3) analysis of the keywords found a new trend of integration of natural science and humanities. In two development stages of 2000–2014 and 2015–2019, the research hotspots mainly focused on mountain water resources, forest resources, land resources and the impact of climate change and human activities, and there are obvious differences and characteristics in different stages. The hotspot worthy of attention in the near future is the assessment of mountain ecosystem services capacity and value. This is the first comprehensive visualization and analysis of the research hotspots and trends of mountain ecosystem services. [ABSTRACT FROM AUTHOR]

A choice test bioassay was devised to screen compounds as potential semiochemicals (e.g., kairomones or allomones that mediate aggregation, attraction or repellence) for the obligate parasitic mite, Psoroptes ovis. The choice test used filter paper discs in a 1:4 test:control ratio and was found to be a reliable, effective and efficient method. Four mammalian lipid components were assessed as potential attractants—linoleic acid, arachidonic acid, methyl myristate and squalene—, and the insect/tick repellent DEET for potential repellence. Linoleic acid was significantly attractive to P. ovis adult females and has the potential to act as an attractant. Identification of P. ovis semiochemicals, especially attractants, would be beneficial in the development of novel control methods and tools for this species. This is essential considering the increase in resistance to the limited prophylactic chemical treatments in the UK, and the high prevalence of scab infections. [ABSTRACT FROM AUTHOR]

To review the highest impact studies published from the UK Biobank and assess their contributions to "precision medicine." We reviewed 140 of 689 studies published between 2008 and May 2019 from the UK Biobank deemed to be high impact by citations, alternative metric data, or publication in a high impact journal. We classified studies according to whether they (1) were largely methods papers, (2) largely replicated prior findings or associations, (3) generated novel findings or associations, (4) developed risk prediction models that did not yield clinically significant improvements in risk estimation over prior models or (5) developed models that produced significant improvements in individualized risk assessment, targeted screening, or targeted treatment. This final category represents "precision medicine." We classified 15 articles as category 1, 33 as category 2, 85 as category 3, six as category 4, and one as category 5. In this assessment of the first 7 years of the UK Biobank and first 4 years of genetic data availability, the majority of high impact UK Biobank studies either replicated known associations or generated novel associations without clinically relevant improvements in risk prediction, screening, or treatment. This information may be useful for designers of other cohort studies in terms of input to design and follow-up to facilitate precision medicine research. [ABSTRACT FROM AUTHOR]

This paper employs the scientific econometric analysis approach to review 705 academic publications related to Fintech from 2006 to 2021. The historical evolution, latest status and development trend of FinTech research are identified by co-authorship networks, co-citation networks and timeline evolution. CiteSpace software is applied to conduct the literature analysis. The results show that the scientometric analysis based on CiteSpace is a practical approach to review the development of financial technology. The rapidly increasing number of publications confirms the vitality of the FinTech field. China, the USA, the UK, Australia and South Korea are the most productive countries in the FinTech field. In contrast, the UK is the country with the highest degree of inter-country cooperation. The analysis results of citation bursts and timeline evolution on FinTech research provide the trends of FinTech research in discipline categories and keywords. Finally, four frontier research streams of FinTech are proposed. [ABSTRACT FROM AUTHOR]

Objectives: The term oral potentially malignant disorders (OPMD) was recommended at the WHO workshop held in 2005 and published in 2007, and increasingly large number of papers related to OPMD are published. The objective of the bibliometric analysis was to investigate the citation characteristics and analyze research trends of OPMD. Methods: A comprehensive search was performed and identified in the Scopus database since 2007 for the bibliometric list of OPMD in the syntax. Results: A total of 795 papers on OPMD were retrieved and the total number of citations was 8870. The mean number of citations is 11.2, with a range of 0 to 580. A substantial increasing tread in the number of citation is observed since 2007. Leukoplakia (42%) and lichen planus (23%) were the two most individual disorders among the general OPMD. A controlled/comparative study (43%) and a retrospective study (16%) were the two most study designs. India (n = 267) and the UK (n = 99) were the two most contributing countries. Tobacco and alcohol use and betel quid chewing (n = 351) are the most common keywords. Notably, early detection and diagnosis of oral cancer (n = 255) and biomarkers of oral carcinogenesis (n = 178) top the list, which may indicate a trend of key topics. Conclusions: The current study for the first time reported the bibliometric characteristics and research trends of the papers on OPMD in the syntax. Clinical relevance: The bibliometric analysis highlights the key topics and studies which have shaped the understanding and management of OPMD. [ABSTRACT FROM AUTHOR]

Background: Virtual fracture clinics (VFCs) have become widely adopted, aiming to improve efficiency, standardise patient care and reduce clinic appointments for injuries that can be managed conservatively. A variety of means exist to manage VFC referrals and assessment, including paper-based and digital methods. This study assesses VFC referral quality and outcomes before and after implementation of a digital VFC referral and management system. Methods: A retrospective analysis was conducted of all VFC referrals and assessments from July 2017–March 2020 in a large UK district general hospital. All referrals and assessments were analysed for quality and completeness of referral information, grade of assessor, outcome of assessment, referral-to-assessment time, and assessment-to-surgery time (for those requiring operative management). Results: 3038 paper and 9,228 digital referrals were analysed by 2 separate reviewers. Quality and completeness of referral information showed significant improvement in 11 predetermined key data points with the digital referral system (p < 0.001). Date and mechanism of injury were the most commonly missing data criteria (67.5% and 68.2%, respectively) with paper referrals. Significant improvements were noted in the proportion of Consultant delivered VFC assessments (84.2% vs 71.0%; p < 0.001), VFC discharge rate (20.8% vs 13.1%; p < 0.001) and patients recalled for urgent review (6.2% vs 0.8%; p < 0.001) with digital referrals. Mean referral-to-assessment (31.2 vs 49.9 h; p < 0.001) and assessment-to-surgery (9.2 vs 13.0 days; p = 0.01) times also reduced significantly with referral digitisation. Conclusion: Improvements in virtual referral quality and completeness directly lead to facilitation of more thorough, detailed and appropriate virtual assessments; improving timely decision-making, reducing unnecessary appointments, and permitting better prioritisation of workload and earlier surgery for patients requiring operative treatment. Purpose-built digital solutions are an excellent means of achieving these aims. [ABSTRACT FROM AUTHOR]

Heat pumps are a solution for decarbonising home heating in the UK. However, the readiness of UK homes for heat pumps is an area of concern regarding the policies aimed at increasing heat pump adoption. This work combines multiple perspectives in evaluating the technical readiness of homes with the market readiness of installers and homeowners to proceed with installing heat pumps. The effectiveness of past heating and energy efficiency policies in the UK are reviewed, along with building regulations, incentives to promote energy efficiency and the effectiveness of heat pump technology in heating homes. Current policies support the cost of a heat pump but home improvements to make homes 'heat pump-ready' can be necessary to achieve optimal heat pump system performance. This paper suggests the UK will face three major challenges. First, analysis highlights an 'eligibility-readiness gap' describing the difference between homes 'eligible' (50%) for the Government's Boiler Upgrade Scheme—a subsidy for heat pump installations—and the likely level of homes that are heat pump-ready (11%) for successful heat pump installations. Second, semi-structured interviews with heat pump installers identified gaps in capacity to deliver the necessary works to make homes heat pump-ready. As small or medium enterprises, the majority of installers do not currently see adding home improvement services to their existing business model as beneficial. All installers highlighted the need for Government to address the cost of electricity relative to gas. Third, a national survey of homeowners in England with gas boilers (n = 1,021) revealed low awareness of the necessary work to make homes heat pump-ready and low willingness to spend money on them unless supported by Government. This paper shows that the processes and costs involved in making homes heat pump-ready before successful design and installation are underappreciated by homeowners, inadequately served by industry, and insufficiently supported by Government. [ABSTRACT FROM AUTHOR]

Building upon the concept of mainstreaming social sciences within conservation, we consider their mainstreaming, and so integration, within UK environment policy and practice (EPP) organisations. The paper responds to increasing calls to recognise the essential role of social sciences in addressing global environmental crises across policy, practice and research. An actor-oriented approach was deployed, producing empirical information from a multi-stage, co-designed, collaborative study involving 19 social scientists from a range of EPP organisations, to understand how they experience the mainstreaming of social sciences. The findings contribute to debates about the politics of knowledge in organisational domains other than those focused on research, specifically EPP organisations. Evidence was found of recent positive changes in how social sciences are perceived, resourced and utilised within EPP, as well as examples of positive impact. However, although EPP organisations are recognising the opportunities that social sciences expertise brings, in practice social sciences still face barriers to effective integration. Many of the challenges faced by the social sciences within academic multi-discipline research (e.g., late, narrow, or selective enrolment) were also experienced in EPP organisations, along with some unique challenges. Informed by the findings, the paper proposes a set of integration indicators designed to assess organisational progress toward addressing the observed challenges. It is recommended that these indicators are employed at a strategic level by EPP organisations seeking to better integrate social sciences expertise into their work. [ABSTRACT FROM AUTHOR]

Purpose: This paper asks whether the separation of mental health from its wider social context during the UK benefits assessment processes is a contributing factor to widely recognised systemic difficulties, including intrinsically damaging effects and relatively ineffective welfare-to-work outcomes. Methods: Drawing on multiple sources of evidence, we ask whether placing mental health—specifically a biomedical conceptualisation of mental illness or condition as a discrete agent—at the core of the benefits eligibility assessment process presents obstacles to (i) accurately understanding a claimant's lived experience of distress (ii) meaningfully establishing the specific ways it affects their capacity for work, and (iii) identifying the multifaceted range of barriers (and related support needs) that a person may have in relation to moving into employment. Results: We suggest that a more holistic assessment of work capacity, a different kind of conversation that considers not only the (fluctuating) effects of psychological distress but also the range of personal, social and economic circumstances that affect a person's capacity to gain and sustain employment, would offer a less distressing and ultimately more productive approach to understanding work capability. Conclusion: Such a shift would reduce the need to focus on a state of medicalised incapacity and open up space in encounters for more a more empowering focus on capacity, capabilities, aspirations, and what types of work are (or might be) possible, given the right kinds of contextualised and personalised support. [ABSTRACT FROM AUTHOR]

Jonathan Shay argued that social, relational, and institutional contexts were central to understanding moral injury and conceptualised moral injury as a normative response to the betrayal of an individual's understanding of what is right by a more senior/authoritative "other". Using the conceptual lens of moral injury, this paper investigates academic staff experiences of HE during the COVID-19 pandemic and explores the rapid transition back to face-to-face teaching that took place in autumn 2020. To collect data, we used an online survey that opened in January 2021 and ran until the end of March 2021. A total of 663 complete questionnaires were received across the survey period. The questionnaire was comprised of ten topic-related questions, each of which included follow-up sub-questions and also invited participants to write in additional information. The majority of participants felt that during the course of the COVID-19 pandemic, they had acted in ways that put their own health and wellbeing at risk. Of those who had acted in ways that put their health and wellbeing at risk, they believed that their senior management were the most responsible for them acting in such ways, followed by the UK government. Qualitative data showed a systemic absence of leadership in the sector during the time, a sense of betrayal of staff and students by senior management and the government, and feelings of compulsion to act in ways which put lives at risk. On the basis of these results, we argue that there could be synergies between the situation facing healthcare staff and academics during the pandemic. Many of the experiences of HE academic staff during the pandemic reported to us in this research are resonant with the concepts of betrayal and moral injury and resulted in affective responses which we understand here in relation to feelings of guilt, shame, and anger, leading ultimately to poor mental health and wellbeing. This paper discusses implications for the HE sector going forward. [ABSTRACT FROM AUTHOR]

As countries decarbonise, the competition for land between energy generation, nature conservation and food production will likely increase. To counter this, modelling, and sometimes energy policies, use exclusion zones to restrict energy deployment from land deemed as important to society. This paper applies the spatially-explicit ADVENT-NEV model to Great Britain to determine the cost imposed on the energy system when either environmental or food production exclusion zones are applied. Results show that exclusion zones impose a cost of up to £0.63 billion (B), £19.17 B and £1.33 B for the solar, wind, and bioenergy pathways. These costs give an indication of the value being placed on protecting these areas of land. When multiple exclusions are imposed on bioenergy, the high pathway is infeasible indicating a more flexible approach may be needed to meet net zero ambitions. The model also shows how the value of ecosystem services changes when exclusion zones are applied, highlighting how some exclusions increase non-market costs whereas others decrease them. In several cases exclusion zones are shown to increase social costs, the opposite of their intended use. For these exclusions to be justifiable, the unobserved values missing from the model must be as large as these increases. [ABSTRACT FROM AUTHOR]

This paper discusses the development of vulnerability policy in essential services in the UK, the position at present and what the future holds. [ABSTRACT FROM AUTHOR]

Rights and duties are essential features of legal documents. Machine learning algorithms have been increasingly applied to extract information from such texts. Currently, their main focus is on named entity recognition, sentiment analysis, and the classification of court cases to predict court outcome. In this paper it is argued that until the essential features of such texts are captured, their analysis can remain bottle-necked by the very technology being used to assess them. As such, the use of legal theory to identify the most pertinent dimensions of such texts is proposed. Specifically, the interest theory of rights, and the first-order Hohfeldian taxonomy of legal relations. These principal legal dimensions allow for a stratified representation of knowledge, making them ideal for the abstractions needed for machine learning. This study considers how such dimensions may be identified. To do so it implements a novel heuristic based in philosophy coupled with language models. Hohfeldian relations of 'rights-duties' vs. 'privileges-no-rights' are determined to be identifiable. Classification of each type of relation to accuracies of 92.5% is found using Sentence Bidirectional Encoder Representations from Transformers. Testing is carried out on religious discrimination policy texts in the United Kingdom. [ABSTRACT FROM AUTHOR]

Participatory Mapping encompasses a broad spectrum of methods, each with advantages and limitations that can influence the degree to which the target audience is able to participate and the veracity of the data collected. Whilst being an efficient means to gather spatial data, the accessibility of online methods is limited by digital divides. Conversely, whilst non-digital approaches are more accessible to participants, data collected in this way are typically more challenging to analyse and often necessitate researcher interpretation, limiting their use in decision-making. We therefore present 'Paper2GIS', a novel sketch mapping tool that automatically extracts mark-up drawn onto paper maps and stores it in a geospatial database. The approach embodied in our tool simultaneously limits the technical burden placed on the participant and generates data comparable to that of a digital system without the subjectivity of manual digitisation. This improves accessibility, whilst simultaneously facilitating spatial analyses that are usually not possible with paper-based mapping exercises. A case study is presented to address two energy planning questions of the residents in the Outer Hebrides, UK. The results demonstrate that accessibility can be improved without impacting the potential for spatial analysis, widening participation to further democratise decision-making. [ABSTRACT FROM AUTHOR]

With many of the world's governments committing to achieve net-zero greenhouse gas (GHG) emissions by mid-century, with well-defined milestones along the road, it is important to investigate how each sector can contribute towards achieving this global goal. The manufacturing sector, with its energy-intensive processes, large amounts of wastes, and hazardous and harmful emissions, is one of the main contributors to global GHG emissions, as well as other sustainability aspects, and, thus, it has great potential to contribute substantially to achieve net-zero objectives. This paper presents a techno-environmental-economic analysis of technologies that can play a key, enabling and leading role in the quest towards net-zero. Such technologies typically bring modest improvement in the environmental performance; however, the aim of this paper is to demonstrate how such small changes, when implemented in an industrial setting, can contribute significantly to the collective improvement in the environmental performance. In order to put the potential improvements into perspective, a real case study from the UK aerospace manufacturing sector is conducted. In the case study, metrics measuring potential improvements from the installation of a low-to-medium waste heat recovery system, and the upgrade of electric motors in the shopfloor to more energy efficient ones, are calculated through environmental and economic models. The models are then subject to a series of sensitivity analyses experiments to help understand the impact of different sources of uncertainty on the perceived GHG emissions, and economic and energy savings. The techno-environmental-economic analysis results revealed that these small changes, when implemented in an industrial setting, can indeed bring valuable improvements in the environmental performance of a manufacturing institute. Further, the sensitivity analysis experiments demonstrated how the environmental and economic performances are not adversely affected by different levels of fluctuations in key, likely to fluctuate, input parameters. [ABSTRACT FROM AUTHOR]

Background: The use of point of care ultrasound (PoCUS) in the management of musculoskeletal (MSK) disorders is a diverse area of PoCUS practice. Its use by clinicians, such as physiotherapists, can occur across a wide range of roles and care pathway configurations; however, professional, educational and regulatory uncertainties can leave clinicians, managers and patients at risk. Main body: A PoCUS framework approach (previously applied to support PoCUS consolidation and expansion) is used to frame these proposals. Central to this is the defining of (clinical and sonographic) scope of practice (ScoP). A number of indicative ScoPs are described to both (i) illustrate application of the principles and (ii) provide templates for ScoP derivations for individual services or clinicians. Image-guided MSK interventions are increasingly an aspect of MSK physiotherapy PoCUS. Given the utility of physiotherapists drawing upon their imaging to fully inform the selection (and performance) of such techniques, we present a rationale for competency in undertaking sonographic differentials as a pre-cursor to performing ultrasound image-guided MSK interventions. Alignment of ScoP with the relevant education and formal competency assessments are a cornerstone of the PoCUS framework approach; as such, key aspects of MSK PoCUS education and competency assessment are outlined. Strategies for addressing such requirements in healthcare settings where formal provision is not accessible, are also presented. Governance considerations are aligned with the regulatory environment, including those pertaining to professional guidance and insurance considerations. In addition, generic quality assurance elements are emphasised, as core aspects of high-quality service provision. Whilst the paper clarifies the situation for MSK physiotherapists using PoCUS in the UK, prompts are provided to support other professional groups working in MSK services in the United Kingdom (UK) and MSK physiotherapists/physical therapists in other countries—to facilitate their application of the principles. Conclusion: Acknowledging the breadth of MSK physiotherapy PoCUS practice, this paper draws upon a framework approach to provide integrated ScoP, education/competency and governance solutions, along with mechanisms for other professions working with MSK PoCUS—and physiotherapists/physical therapists outside of the UK—to consolidate and expand their practice. [ABSTRACT FROM AUTHOR]

Price dynamics in stock market is modelled by a statistical physics systems: Ising model. A comparative analysis of the historical dynamics of stock returns between the US, UK, and French markets is given. Since the Ising model requires binary inputs, the effect of binarization is studied. Then, using the TAP approximation method, external fields and coupling strengths are calculated. The fluctuation cycles of coupling strengths have a remarkable corresponding relationship with the important period of the financial market. The highlight of this paper is to verify the phase transition can also occur in the stock market and it reveals the transformation of the market state. The numerical solution in this paper is consistent with the exact solution obtained by Lars Onsager. Our findings can help to discover the economic cycles and provide more possibilities for studying financial markets using physical models. [ABSTRACT FROM AUTHOR]

Research examining the effects of spinal cord injury on sexuality has largely focused on physiological functioning and quantification of dysfunction following injury. This paper reports a systematic review of qualitative research that focused on the views and experiences of people with spinal cord injury on sex and relationships. The review addressed the following research question: What are the views and experiences of people with spinal cord injury of sex, sexuality and relationships following injury? Five databases were relevant and employed in the review: CINAHL (1989–2016 only), PsychInfo, PubMed, Scopus and Web of Science, for research published between 1 January 1980 and 30 November 2019. After removing duplicates, 257 records remained and were screened using a two-stage approach to inclusion and quality appraisal. Following screening, 27 met the criteria for inclusion and are reported in the paper. The review includes studies from fifteen countries across five continents. Two main approaches to data analysis summary and thematic synthesis were undertaken to analyze the qualitative data reported in the papers. The analysis revealed four main themes: sexual identity; significant and generalized others, sexual embodiment; and; sexual rehabilitation and education. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has had a profound impact on almost all aspects of society. Cultural heritage sites, which are deeply intertwined with the tourism industry, are no exception. The direct impacts of the virus on the population, as well as indirect impacts, such as government-mandated measures including social distancing, face coverings, and frequent temporary closures of sites, have greatly impacted visitor experiences at heritage sites. To quantitatively evaluate the impact of these measures from the perspective of visitors, we collected 1.4 millions visitor reviews from the Google Maps platform for 775 heritage sites. We analyzed visiting rates using the number of online reviews as a proxy and adopt state-of-the-art natural language processing techniques to more deeply understand visitor perception of preventive measures put in place to control the spread of COVID-19. Our findings reveal that even if visitor focus on COVID-19 has significantly decreased, there may still be notable difference between actual and expected number of reviews, suggesting that visitor involvement (e.g., number of visitors) for cultural heritage sites, especially urban indoor sites, needs more time to recover. Our findings further show that most comments by visitors to sites were associated with negative sentiment toward restricted access, but recognized the necessity of other safeguarding measures (e.g., social distancing and the requirement for face coverings). Moreover, they exhibited negative sentiment towards staff or other visitors who did not adhere to these measures. We make specific recommendations for heritage sites to adapt to the COVID-19 pandemic and a more general observation that the method used to gather information from online reviews in this paper will be effective in measuring visitor perceptions towards specific aspects of heritage sites, particularly in capturing changes in perception before and after unexpected or disruptive events at heritage sites. [ABSTRACT FROM AUTHOR]

Co-movement in different regional housing markets has implications for portfolio management, as well as the effectiveness of monetary and other policies. Such co-movement has thus been the subject of several previous studies. Research on regional house price cohesion has tended to focus either on long-run convergence to a common level or on business cycle synchronization. While the extent of both types of relationships is important, research on national housing, credit and equities has established the salience of co-movement at the intermediate frequency, or of medium cycles. Indeed, at the national level, medium cycles in housing and credit together have been shown to characterize the financial cycle. Research on the UK has found that regional house price co-movement is different at business versus medium cycle frequencies. In this paper, we examine co-movement of house prices across the regions of the USA. We compare co-movement at the business and medium cycle frequencies. We find that medium cycles are more volatile than short-term fluctuations, making medium-term movements more important for housing. Moreover, house price synchronization across regions is for the most part greater at the medium than the short-term frequency. There did appear to be an increase in co-movement around the time of the early 1990s recession, although this was not sustained for all regions or all frequencies. Lastly, while short-term synchronization has been declining among the regions of the US housing market, medium co-movement appears to be rising over the last several decades. [ABSTRACT FROM AUTHOR]

Eco-conferences like COP26 in Glasgow (UK) in 2021 have brought the debate on energy consumption and climate change to the fore. Given that a third of the energy produced worldwide is consumed in the home, it is pertinent to investigate how households use emerging technologies that allow households to monitor their energy consumption. This paper investigates how Danish households use green IT to monitor and manage their energy use and studies the related meaning householders attach to the green IT. We present qualitative data collected through interviews with 14 households, electric car owners mostly, who have adopted an application to monitor green energy availability – and its derived consumption. The paper highlights these householders' green energy monitoring practices with an emphasis on the meaning they make of the green IT application they used. Our study found that households can use more green energy without interacting continuously with the green IT application. This contrasts with a common assumption in the field of green IT design that consumers must continuously engage with the green IT to consume more green energy. We also posit that including householders in future green IT design is paramount for designing successful green IT applications. Finally, this paper calls for household energy consumption studies to view energy consumption as a service where specific practices are matched to energy sources – rather than viewing energy availability as a solitary incident. [ABSTRACT FROM AUTHOR]

Critical agency (CA) refers to an individual's feeling of power in relation to social inequalities. Research has demonstrated that high CA is associated with positive adolescent outcomes, however, less is known about what supports are important for its development. Moreover, a large majority of the literature is based on studies from the US and various countries in Africa; although the UK is saturated with inequalities there is little research within a UK context. In this paper we examine (a) the validity of using an existing measure of CA with a sample of UK adolescents and (b) the extent to which resilience supports account for variance in CA. Our analysis identified two distinct factors of CA: justice-oriented and community-oriented. High CA in both factors was explained by resilience supports associated with peer relationships (p < 0.01). Our findings push us towards new relational, ecological ways of understanding adolescent CA. We close by instantiating a translational framework for those devising policies in support of youth resilience and CA. [ABSTRACT FROM AUTHOR]

Many surveys ask participants to retrospectively record their location of birth. This paper examines the accuracy of such data in the UK Biobank using a sample of full siblings. Comparison of reported birth locations for siblings with different age gaps allows us to estimate the probabilities of household moves and of misreported birth locations. Our first contribution is to show that there are inaccuracies in retrospective birth location data, showing a sizeable probability of misreporting, with 28% of birth coordinates, 16% of local districts and 6% of counties of birth being incorrectly reported. Our second contribution is to show that such error can lead to substantial attenuation bias when investigating the impacts of location-based exposures, especially when there is little spatial correlation and limited time variation in the exposure variable. Sibling fixed effect models are shown to be particularly vulnerable to the attenuation bias. Our third contribution is to highlight possible solutions to the attenuation bias and sensitivity analyses to the reporting error. Many surveys ask participants to retrospectively record their location of birth. Here, the authors find misreporting in retrospective birth location data in UK Biobank using data from siblings, which can lead to bias in estimates of the impact of location-based exposures. [ABSTRACT FROM AUTHOR]

Thinking about organised crime as an ecosystem is not only novel but also offers much potential to add to the theoretical and policy-based literature in this area. While organised crime is often analysed as relationships between criminal groups and consumers of illicit goods/services, little work has analysed specific forms of organised crime activities as ecosystems where different constituent parts are dependent upon each other for the crime activity to occur. This paper analyses the organisation of sexual exploitation by entrepreneurial organised crime groups selling sex in the United Kingdom. Based upon 30 interviews with 23 law enforcement forces in England and Wales and five interviews with Adult Service Website Operators; it identifies how an ecosystem is built that ensures (a) profit generation and (b) avoidance of legal prosecution. Our analysis not only illustrates how a market 'supply' and 'demand' ecosystem is generated through mutually convenient 'organiser', 'marketer' and 'buyer' relationships, but also how the roles of these actors ensure sexual exploitation continues. [ABSTRACT FROM AUTHOR]

The evaluation of research to allocate government funding to universities is now common across the globe. The Research Excellence Framework, introduced in the UK in 2014, marked a major change by extending assessment beyond the 'quality' of published research to include its real-world 'impact'. Impact submissions were a key determinant of the £4 billion allocated to universities following the exercise. The case studies supporting claims for impact are therefore a high stakes genre, with writers keen to make the most persuasive argument for their work. In this paper we examine 800 of these 'impact case studies' from disciplines across the academic spectrum to explore the rhetorical presentation of impact. We do this by analysing authors' use of hyperbolic and promotional language to embroider their presentations, discovering substantial hyping with a strong preference for boosting the novelty and certainty of the claims made. Chemistry and physics, the most abstract and theoretical disciplines of our selection, contained the most hyping items with fewer as we move along the hard/pure – soft/applied continuum as the real-world value of work becomes more apparent. We also show that hyping varies with the type of impact, with items targeting technological, economic and cultural areas the most prolific. [ABSTRACT FROM AUTHOR]

Higher education institutions are increasingly moving from traditional education approaches to incorporate online and distance learning (ODL) models, and this represents a substantial educational challenge for many educators. One way to support this challenge is by providing appropriate professional development (PD) for the design of ODL. Based on models from the Open University, UK this paper contends that PD for the design of ODL should align learning design frameworks with constructivist and student-focused pedagogies to manage the change to the professional teaching identities of participants that designing ODL represents. Robust professional identities are important for mitigating anxiety, embedding lasting change and leveraging the benefits of ODL for institutions and students. In this study, the rationale, model, and strategies of the Learning Design and Course Creation Workshop, based on current literature and participant feedback gathered immediately after instances of the PD was completed in China, are described. Evidence and examples of impact gathered from a second instrument, gathered after implementation, is also provided, and discussed in this context. The findings and conclusions will be of interest to those tasked with providing PD to support educators faced with rapid educational change, particularly as a response to the global demand for the design of ODL. [ABSTRACT FROM AUTHOR]

Across the globe, governments are developing policies and strategies to reduce carbon emissions to address climate change. Monitoring the impact of governments' carbon reduction policies can significantly enhance our ability to combat climate change and meet emissions reduction targets. One promising area in this regard is the role of artificial intelligence (AI) in carbon reduction policy and strategy monitoring. While researchers have explored applications of AI on data from various sources, including sensors, satellites, and social media, to identify areas for carbon emissions reduction, AI applications in tracking the effect of governments' carbon reduction plans have been limited. This study presents an AI framework based on long short-term memory (LSTM) and statistical process control (SPC) for the monitoring of variations in carbon emissions, using UK annual CO2 emission (per capita) data, covering a period between 1750 and 2021. This paper used LSTM to develop a surrogate model for the UK's carbon emissions characteristics and behaviours. As observed in our experiments, LSTM has better predictive abilities than ARIMA, Exponential Smoothing and feedforward artificial neural networks (ANN) in predicting CO2 emissions on a yearly prediction horizon. Using the deviation of the recorded emission data from the surrogate process, the variations and trends in these behaviours are then analysed using SPC, specifically Shewhart individual/moving range control charts. The result shows several assignable variations between the mid-1990s and 2021, which correlate with some notable UK government commitments to lower carbon emissions within this period. The framework presented in this paper can help identify periods of significant deviations from a country's normal CO2 emissions, which can potentially result from the government's carbon reduction policies or activities that can alter the amount of CO2 emissions. [ABSTRACT FROM AUTHOR]

This paper examines two distinct corporate theories, shareholder primacy and entity theory, as foundations of corporate governance and their implications for corporate sustainability. Specifically, the purpose of this paper is to argue for a shift in perspective away from shareholder primacy towards an alternative approach—entity theory. It considers why shareholder primacy as a foundation for governance is problematic for facilitating sustainable business decisions and suggests that conceptualizing the company as an entity would provide a more appropriate theoretical foundation for governance which lends itself to sustainable corporate conduct. Although abstract in isolation, such corporate theories can have real world influence on governance and subsequently director behavior. This point is illustrated by contrasting the extent to which directors, as part of their duty to act in good faith in the best interests of the company, can factor sustainability interests into their business decisions across a shareholder orientated jurisdiction, the United Kingdom, and an entity orientated jurisdiction, Canada. The analysis demonstrates the implications of entity theory for sustainable director decisions when acting in the best interests of the company; namely, a reduction of the pressures associated with the shareholder primacy drive, broader notions of what constitutes corporate interest, and a recognition of the entity's role in society to behave as a good corporate citizen. [ABSTRACT FROM AUTHOR]

Elite donors are a crucial and sought-after source of funding for many nonprofit organisations, but there is a dearth of substantive empirical studies presenting primary data on such donors' motivations, experiences and perspectives. There are challenges for social scientists in conducting interviews with elites, notably: gaining access to elite donors; developing sufficient rapport to discuss a topic that involves money and morals; and making sense of data without being dazzled by striking surface differences between elites and non-elites. These barriers have resulted in a long-standing over-reliance on secondary sources and on interviews with proxies such as foundation staff and wealth advisers. This paper reviews the small body of work that presents findings from interviews with elite donors and draws on my experience of conducting interviews with 46 wealthy UK donors, in order to critically analyse the implementation of this research design. This paper adds to the literature by extending understanding of elite donors' reasons for agreeing to be interviewed and contributes to advancing third sector research by highlighting strategies to overcome challenges in conducting elite interviews in order to gain a less mediated understanding of the contexts, cultures and subjectivities of their focus of study. [ABSTRACT FROM AUTHOR]

Action research is the predominant approach for organisational inquiry, but it comes in many guises and in some cases ends up as all action and no research. A common feature of all action research is the necessity to meet stakeholders in person in order to gain an understanding 'from within', this is particularly the case where 'soft' action research is the basis of the inquiry. In this paper first, we reflect, briefly, upon the history of action research and second, upon the lessons leant from the outcomes from two projects. The first project was conducted 'virtually', between a college in the USA and one in the UK and the second undertaken during the disruption caused by the restrictions arising from the Covid-19 pandemic. The experiences gained from these two 'virtual' action research projects and the lessons learnt are of interest to both the 'traditional' and 'soft' action research community. [ABSTRACT FROM AUTHOR]

The paper draws on network theory to employ concepts of homophily and heterophily to investigate whether the presence of familiar, unfamiliar or a mix of actors in an entrepreneurial ecosystem is related to start-up rates. The empirical focus of this study is on 81 UK university entrepreneurial ecosystems and their outputs in terms of academic spinoff companies. The paper finds that university entrepreneurial ecosystems with access to actors of predominantly heterophilious character are associated with higher spinoff start-up rates. It is concluded that in stimulating the development of successful entrepreneurial ecosystems there is a clear need to focus on their openness to heterophilious actors, inclusive of other ecosystems. This is especially important in the context of network lock-in that may arise from dependence on homophilious ties. Plain English Summary: Entrepreneurial ecosystems characterised by openness to diverse actors generate more firms, as shown in a study focusing on 81 UK university entrepreneurial ecosystems. The paper studies network character of actors in entrepreneurial ecosystems and whether this character is associated with start-up rates. Specifically, it focuses on the familiarity of actors, inspecting whether it is related to greater venture formations. In so doing, the study examines 81 UK university entrepreneurial ecosystems. It finds that university entrepreneurial ecosystems that generate more ventures are associated with having a presence of actors of unfamiliar character, drawing attention to the openness of ecosystems' networks. The key implication of the study is in recognising the link between the ecosystem's openness to diverse actors and its entrepreneurial performance. [ABSTRACT FROM AUTHOR]

Aerial image data are becoming more widely available, and analysis techniques based on supervised learning are advancing their use in a wide variety of remote sensing contexts. However, supervised learning requires training datasets which are not always available or easy to construct with aerial imagery. In this respect, unsupervised machine learning techniques present important advantages. This work presents a novel pipeline to demonstrate how available aerial imagery can be used to better the provision of services related to the built environment, using the case study of road traffic collisions (RTCs) across three cities in the UK. In this paper, we show how aerial imagery can be leveraged to extract latent features of the built environment from the purely visual representation of top-down images. With these latent image features in hand to represent the urban structure, this work then demonstrates how hazardous road segments can be clustered to provide a data-augmented aid for road safety experts to enhance their nuanced understanding of how and where different types of RTCs occur. [ABSTRACT FROM AUTHOR]

This paper tests whether visual nudges help direct attention towards existing instructions designed to increase waste sorting accuracy. The study was conducted in a quasi-experimental setting over a period of 9 weeks in two buildings of a large UK university campus. Two treatments on recycling behaviour were tested against a control group: one considered the impact of visual nudges in the form of human eyes; the other one combined human eye with pre-existing sorting instructions. Results show that for mixed recycling the combination of visual and information nudges decreased sorting errors by 7 percentage points. In contrast, visual nudges alone increased sorting errors by 4.5 percentage points. These findings indicate that, when combined, information and a visual nudge are cost-effective tools to significantly improve waste sorting behaviour. This paper adds to existing experimental evidence based on neuroscientific theories. [ABSTRACT FROM AUTHOR]

This paper evaluates the political polarization in the UK and analyzes its socioeconomic correlates based on detailed county-level panel data constructed from the British Household Panel Survey. Three different polarization measures, computed following different strands of the literature, are highly correlated and characterized by similar statistical properties, which implies they can be used interchangeably in the quantitative analysis. The empirical evaluation of the determinants of political polarization suggests that regional political polarization in the UK is positively associated with the variability of job status and negatively associated with an increase in the employment rate and an increase in the share of natives in the region. The findings of this paper fill the gaps in understanding the political polarization in the UK by clarifying its measurement, correlates, and trends. [ABSTRACT FROM AUTHOR]

This paper studies intergenerational links in home ownership, an increasingly important wealth marker and a measure of economic status in itself. Repeated cross sectional UK data show that home ownership rates have fallen rapidly over time, most markedly amongst younger people in more recent birth cohorts. Evidence from British birth cohorts data supplemented by the Wealth and Assets Survey show a significant rise through time in the intergenerational persistence of home ownership, as home ownership rates shrank disproportionately among those whose parents did not own their own home. Given the close connection between home ownership and wealth, these results on strengthening intergenerational persistence in home ownership are therefore also suggestive of a fall in intergenerational housing wealth mobility over time. [ABSTRACT FROM AUTHOR]

In March 2020, the UK was placed in lockdown following the spread of the Covid-19 virus. Just as legitimate workplaces made changes to enable their employees to work from home, the illicit drugs trade also made alternative arrangements, adapting its supply models to ensure continuity of operations. Based upon qualitative interviews with 46 practitioners, this paper assesses how front-line professionals have experienced and perceived the impact of Covid-19 on child criminal exploitation and County Lines drug supply in the UK. Throughout the paper, we highlight perceived adaptations to the County Lines supply model, the impact of lockdown restrictions on detection and law enforcement activities aimed at County Lines, and on efforts to safeguard children and young people from criminal exploitation. Our participants generally believed that the pandemic had induced shifts to County Lines that reflected an ongoing evolution of the drug supply model and changes in understanding or attention because of Covid-19 restrictions, rather than a complete reconstitution of the model itself. Practitioners perceived that Covid-19 has had, and continues to have, a significant impact on some young people's vulnerability to exploitation, on the way in which police and frontline practitioners respond to County Lines and child criminal exploitation, and on the way illegal drugs are being moved and sold. [ABSTRACT FROM AUTHOR]

Few sectors are more ethically contentious than dairy, with debates tending to be polarised between "intensification" and "abolitionist" narratives which often drown out alternative voices operating in-between. This paper examines the marginal spaces occupied by a group of farmers in the United Kingdom who are attempting to move towards what they see as "more ethical" dairying. Drawing on findings from ethnographic research on five farms which have adopted "cow-calf contact rearing"—which focuses on keeping calves with their mothers longer, in opposition to conventional practices of removing them shortly after birth—it asks what values underpin this alternative approach, and how and why "ethical" dairies seek to dairy ethically. To do this, it draws on a feminist epistemology and methodology that sees ethics as situated and contextual, and finds an "ethics of care" to be central to changing entanglements between humans and nonhuman animals. Instead of casting dairy as either "good" or "bad", it explores the activities of farms which are trying to move towards what they perceive to be "better", and draws three conclusions: (a) "ethical" dairying demonstrates a heterogeneity of dairy practices which are grounded in "care" and are happening between narrative extremes of intensification versus abolition; (b) although this practice may be, and could be, commodified, farmers are primarily guided by strong ideological principles and influenced by affective and empathetic "entanglements" with cows and calves, the agency of bovines themselves, and their social and ecological environment; and (c) "cow-calf contact rearing" represents a significant shift from a focus on the broader welfare environment towards centring the quality of individual cows' lives. Ultimately, the paper argues that we should pay greater attention to alternative economies built on an "ethics of care" when envisaging new sustainable food and agricultural systems. [ABSTRACT FROM AUTHOR]

Loot boxes are virtual items in video games that offer the player randomised in-game rewards of uncertain in-game and real-world value. Paid loot boxes represent a lucrative and prevalent contemporary monetisation method that encourages repeat purchase through randomisation. The psychology literature has consistently reported a relationship between loot boxes and problem gambling. However, various implementations of loot boxes have not been sufficiently differentiated and separately examined. The literature and gambling regulators have generally argued that only loot boxes that cost real-world money to buy, and offer rewards that can be transferred to other players and are consequently worth real-world money, constitute 'gambling.' This paper identifies the potential harms of two other types of loot box: one does not cost real-world money to buy and the other does not offer rewards that are worth real-world money and argues that both may constitute 'gambling' under UK law. This paper hypothesises that even loot boxes that neither cost real-world money to buy nor offer rewards that are worth real-world money may be potentially harmful as they may normalise gambling behaviours. This paper highlights that, when the game's design and economy are exploited by players, a particular implementation of loot boxes may involve real-world money, potentially contrary to the game company's intentions, and thereby effectively constitute 'gambling.' This paper recommends that future empirical research separately examine the potential harms of each type of loot box. [ABSTRACT FROM AUTHOR]

Researchers have studied political ideology and polarization in many different contexts since their effects are usually closely related to aspects and actions of individuals and societies. Hence, being able to estimate and measure the changes in political ideology and polarization is crucial for researchers, stakeholders, and the general public. In this paper, we model the ideology and polarization of 28 countries (the 27 EU member states plus the UK) using Facebook public posts from political parties' Facebook pages. We collected a three-year dataset from 2019 to 2021 with information from 234 political parties' Facebook pages and took advantage of the EU parliament elections of May 2019 to create our models. Our methodology works across 28 countries and benefits from being a low-cost running process that measures ideology and polarization at a high-resolution time scale. The results show our models are pretty accurate when validating them against 19 individual countries' elections as ground truth. Moreover, to make our results available to the research community, stakeholders, and individuals interested in politics, the last contribution of our paper is a website including detailed information about the political parties in our dataset. It also includes the temporal evolution of our ideology and polarization estimations. Therefore, our work delivers a novel tool that uses Facebook public data to create country metrics useful for different purposes. To the best of our knowledge, there is no prior work in the literature offering a solution that measures the ideology and polarization of all EU + UK countries. [ABSTRACT FROM AUTHOR]

This paper examines the possible relationship between religious education and social justice. A consideration of what it is that education in the public sphere should seek to achieve, in a normative sense, is followed by an explanation of how we conceptualise social justice in this paper. This leads us to be able to explain why the relationship between teacher and child or young person is significant and why it is insufficient to conceptualise religious education only in terms of knowledge. Instead, we propose that the teacher's first responsibility when beginning any course of study is to bring the child to attend to their experience and that of their wider community. We argue that curriculum cannot be made in isolation of the context of the child and that education is not something that takes place in abstraction. Rather, it requires the teacher to be attentive to this particular child, the one who is here now, and in this particular place. Having begun to set out the educational position of our argument, we show how this is working practically guided by a Locally Agreed Syllabus for Religious Education: Living Difference IV, in religious education taught in a school in an area of high deprivation in the southeast of Hampshire. UK. [ABSTRACT FROM AUTHOR]

The use of remote measurement technologies (RMTs) across mobile health (mHealth) studies is becoming popular, given their potential for providing rich data on symptom change and indicators of future state in recurrent conditions such as major depressive disorder (MDD). Understanding recruitment into RMT research is fundamental for improving historically small sample sizes, reducing loss of statistical power, and ultimately producing results worthy of clinical implementation. There is a need for the standardisation of best practices for successful recruitment into RMT research. The current paper reviews lessons learned from recruitment into the Remote Assessment of Disease and Relapse- Major Depressive Disorder (RADAR-MDD) study, a large-scale, multi-site prospective cohort study using RMT to explore the clinical course of people with depression across the UK, the Netherlands, and Spain. More specifically, the paper reflects on key experiences from the UK site and consolidates these into four key recruitment strategies, alongside a review of barriers to recruitment. Finally, the strategies and barriers outlined are combined into a model of lessons learned. This work provides a foundation for future RMT study design, recruitment and evaluation. [ABSTRACT FROM AUTHOR]

This study investigates whether fidelity was achieved in the self-translation of Friday sermons by imam Mohammed Ewes. Ewes is an Egyptian Muslim imam who immigrated to the United Kingdom in 1996. When writing this paper, he had been preaching at Al-Birr Mosque in London for 25 years. To the best of the authors' knowledge, he is one of the few Muslim imams in the Islamic world to have self-translated and compiled his religious sermons into a single book. This study adopts the Critical Discourse Analysis (CDA) approach to analyze the data. We extracted the data from Ewes's book Pulpit Sermons in Arabic and English, written in Arabic and self-translated into English by Ewes himself. Specifically, we selected eight sermons randomly from the book. We analyzed the data using Ajunwa's (2015) approach to assessing fidelity in translation. The findings show that fidelity was not achieved in the self-translation because the self-translator did not produce a faithful and accurate translation. Therefore, the self-translation of Ewes's Friday sermons cannot be regarded as a true translation but as a rewritten translation. [ABSTRACT FROM AUTHOR]

Telework and work from home practices have clear implications for workers' daily behaviors and well-being. This paper explores the differences between workers from home (WFH) and workers away from home (WAFH) time allocations during their workdays, and the instant enjoyment experienced while doing such activities, with a focus on gender differences. We use detailed information from the UK Time Use Survey for the years 2014–2015, which provides us with detailed records of time use along with measures of instantaneous enjoyment. The results show a statistically significant reduction in female and male paid work time associated with WFH, who spend more time than WAFH in unpaid work and leisure activities, but these factors vary between weekdays and weekends. The results also reveal a reduction in men's experienced enjoyment among WFH while doing paid work, and all WFH enjoy their leisure activities less than do WAFH. These results may improve our understanding of how the practice of WFH relates to worker time allocations during the day, to experienced well-being, and to gender differences in time allocation and well-being. [ABSTRACT FROM AUTHOR]

For efficient operation, solar power operators often require generation forecasts for multiple sites with varying data availability. Many proposed methods for forecasting solar irradiance / solar power production formulate the problem as a time-series, using current observations to generate forecasts. This necessitates a real-time data stream and enough historical observations at every location for these methods to be deployed. In this paper, we propose the use of Global methods to train generalised models. Using data from 20 locations distributed throughout the UK, we show that it is possible to learn models without access to data for all locations, enabling them to generate forecasts for unseen locations. We show a single Global model trained on multiple locations can produce more consistent and accurate results across locations. Furthermore, by leveraging weather observations and measurements from other locations we show it is possible to create models capable of accurately forecasting irradiance at locations without any real-time data. We apply our approaches to both classical and state-of-the-art Machine Learning methods, including a Transformer architecture. We compare models using satellite imagery or point observations (temperature, pressure, etc.) as weather data. These methods could facilitate planning and optimisation for both newly deployed solar farms and domestic installations from the moment they come online. [ABSTRACT FROM AUTHOR]

An effective and just industrial transition is necessary both to mitigate climate change and protect jobs, and as a precursor to enable other sectors to decarbonise. Activity is at an early stage and examples of successful sector-wide interventions to decarbonise industry do not yet exist. Governments of industrialised countries are beginning to develop policy and provide funding to support deployment of carbon capture and low-carbon hydrogen infrastructures into high-emitting industrial clusters, but options for sites outside of clusters, denoted here as 'dispersed sites', are also required. This paper takes a mixed methods approach to provide the first analysis of the issues facing dispersed industrial sites on their route to decarbonisation and to suggest solutions to the challenges they face. Using the UK as a case study, it first characterises dispersed sites in terms of location, emissions released, sectors involved, and size of companies affected. It then shows how these features mean that simply expanding the geographical scope of the present UK decarbonisation strategy, which focuses on the provision of carbon capture and low-carbon hydrogen, would face a number of challenges and so will need to be broadened to include a wider range of abatement options and other considerations to meet the needs of dispersed sites. While the solutions for each place will be different, these are likely to include some combination of the expansion of shared infrastructure, the development of local zero-carbon hubs, research into a wider range of novel abatement technologies and facilitating local participation in energy planning. The paper concludes with a discussion of remaining knowledge gaps before outlining how its findings might apply to industrial decarbonisation strategies in other countries. [ABSTRACT FROM AUTHOR]

Aim: Designing financial incentives for health behaviour change requires choices across several domains, including value (the size of the incentive), frequency of incentives, and direction (gain or loss). However, the rationale underlying complex incentive design is infrequently reported. Transparent reporting is important if we want to understand and improve the incentive development process. This paper describes a mixed methods approach for designing financial incentives for health behaviour change which involves stakeholders throughout the design process. Subject and methods: The mixed methods approach focuses on incentives for weight loss for men with obesity living in areas with high levels of disadvantage. The approach involves: (a) using an existing framework to identify all domains of a financial incentive scheme for which choices need to be made, deciding what criteria are relevant (such as effectiveness, acceptability and uptake) and making choices on each domain on the basis of the criteria; (b) conducting a survey of target population preferences to inform choices for domains and to design the incentive scheme; and (c) making final decisions at a stakeholder consensus workshop. Results: The approach was implemented and an incentive scheme for weight loss for men living with obesity was developed. Qualitative interview data from men receiving the incentives in a feasibility trial endorses our approach. Conclusion: This paper demonstrates that a mixed methods approach with stakeholder involvement can be used to design financial incentives for health behaviour change such as weight loss. Trial registration number: NCT03040518. Date: 2 February 2017. [ABSTRACT FROM AUTHOR]

Training automated trading agents is a long-standing topic that has been widely discussed in artificial intelligence for the quantitative finance. Reinforcement learning (RL) is designed to solve the sequential decision-making tasks, like the stock trading. The output of the RL is the policy which can be presented as the probability values of the possible actions based on a given state. The policy is optimized by the reward function. However, even if the profit is considered as the natural reward function, a trading agent equipped with an RL model has several serious problems. Specifically, profit is only obtained after executing sell action, different profits exist at the same time step due to the varying-length transactions and the hold action deals with two opposite states, empty or nonempty position. To alleviate these shortcomings, in this paper, we introduce a new trading action called wait for the empty position status and design the appropriate rewards to all actions. Based on the new action space and reward functions, a novel approach named Transaction-aware Inverse Reinforcement Learning (TAIRL) is proposed. TAIRL rewards all trading actions for avoiding the reward bias and dilemma. TAIRL is evaluated by backtesting on 12 stocks of US, UK and China stock markets, and compared against other state-of-art RL methods and moving average trading methods. The experimental results show that the agent of TAIRL achieves the state-of-art performance in profitability and anti-risk ability. [ABSTRACT FROM AUTHOR]

In this paper, we exploit a unique weekly longitudinal survey of adults in the UK purposefully collected to study consumption choices with respect to cultural content types during the first Covid-19 national lockdown (the "Great Lockdown"). We look for changes in the probability of consuming different cultural and creative types of content (Music, Movies, TV, Games, Books, Magazines and Audiobooks), as well as changes in the overall variety of consumption. We find that changes in consumption depend on the type of content. In particular, other things being equal, the likelihood of listening to Music and playing Games went up and the likelihood of reading Books went down. We find little statistically significant evidence of changes in the probability of consumption of the other types of content. We find that, while on average individuals increased the variety of their consumption, the statistical significance of this increase varied depending on the socio-demographic and economic characteristic of interest. In particular, we find evidence of an increase in the variety of consumption for those at the bottom of the distribution of socio-economic status, which speaks to the importance of access to culture and creativity during lockdown for this specific social class. [ABSTRACT FROM AUTHOR]