Gypsies and Travellers are at significantly increased risk of poor physical and mental health compared with the general population. Barriers to accessing mental health services include fear of stigma and discrimination from services, difficulties with signing up to services due to poor educational levels, and the taboo nature of mental health difficulties within the community. To the authors’ knowledge, no research has identified best practice for adapting psychological therapy to meet the needs of this community. This paper presents the case of John (pseudonym), an 80-year-old Irish Traveller, whose respiratory team referred him for psychological intervention for depression and anxiety symptoms. The psychology service was embedded within the respiratory team which enabled easy access to therapy services via an already trusted service. He received 10 sessions of cognitive behavioural therapy for depression, adapted to his age, physical health, and cultural background. His low mood was maintained by withdrawal from activities, rumination of losses, lack of confidence and avoidance of help-seeking. Treatment consisted of culturally adapted psychoeducation, behavioural activation, cognitive restructuring, and behavioural experiments to increase his activity, mood and confidence. The Patient Health Questionnaire and Generalised Anxiety Disorder Scale demonstrated improvements in both depressive and anxious symptoms at the end of therapy. The paper presents an overview of relevant literature before describing John’s case, formulation, culturally adapted intervention techniques and outcomes. Considerations to support best practice for clinicians working with Irish Travellers are made.

Practitioners have mixed views about the value of cognitive behavioural therapy (CBT) manuals, with some preferring to work based on professional judgement. The workbook represents a compromise, providing guidance and resources without prescribing standardised procedures. Workbooks have not previously been widely addressed in the CBT literature. This exploratory study analysed how practitioners use a CBT workbook (Think Good – Feel Good, TGFG) to support therapeutic work with young people (YP). Practitioners (n=238) completed an online survey about how TGFG is used and how it supports CBT. A convergent mixed-methods design was pursued. Qualitative and quantitative data were analysed using content analysis, descriptive statistics, and chi-squared tests before themes were defined to summarise the dataset. When deciding whether to use TGFG, practitioners consider a YP’s presenting difficulty, level of understanding, motivation, and availability of systemic support. Practitioners use TGFG inside and outside the therapeutic space to plan sessions, revise CBT concepts, and complete worksheets (particularly those with a cognitive focus). Practitioners use TGFG flexibly and pragmatically (combining it with other therapeutic approaches), and they adapt resources to suit a YP’s understanding and interests. TGFG appears to be a widely used resource for practitioners across the range of experience.

The comparisons among 126 14C dates of Carex samples including separated leaf and root parts with acid (A)-treatment and acid-base-acid (ABA)-treatment, and 48 published 14C dates of bulk peat plants on a 92-cm core from Jinchuan Mire in NE China, indicate old carbon influence (OCI) on the 14C dates. The OCI varies with plant species, pretreatment and peat depth. In vascular peat plants such as Carex, humin fractions (remains after ABA treatment) and humic acids are representative of the original plant precursor, while fulvic acids are regarded as the secondary mobile product which should be removed for 14C dating. ABA- treatment removes both fulvic acids and humic acids, whereas A-treatment gets rid of only fulvic acids. Carex roots uptake more dissolved CO2 in peat water. Carex leaves may use more CO2 (involving degassing CO2) above the peat surface. By removing humic acids throughout ABA treatment, the OCI may vary differently over depth (time). ABA treatment cannot eliminate the fixed OCI in humin fractions of vascular peat plants, instead, this treatment may enhance OCI by removing humic acid which may represent the true age of the plants. In addition, Bacon model results on this core could not show rapid changes in accumulation rate.

Obsessive-compulsive disorder (OCD) is a common and debilitating disorder that frequently begins in childhood and adolescence. Previous work (Bolton et al., 2011) has demonstrated that brief CBT (5 sessions), supplemented by therapeutic workbooks, is as effective as more traditional length (12 sessions) therapist-delivered treatment for adolescents with OCD. However, as was typical at the time, the treatment was developed with very limited patient and public involvement (PPI) and was delivered in the context of a randomised controlled trial which might affect translation to routine child and adolescent mental health services (CAMHS). To be able to implement such treatment within routine clinical services, it is crucial that it acceptable to young people, their families and the clinicians delivering the treatment. The aim of this project was to improve the acceptability of the brief treatment through PPI and consultation with clinicians, and consider issues relating to implementation. This was done through written feedback, interviews and focus groups with five adolescents and two parents, and a focus group and a half-day workshop with 12 clinicians. This led to revisions to the workbooks and materials to improve (a) acceptability by updating the design through changes to wording, language and images, and to ensure that they were consistent with values of equality, diversity and inclusion, and (b) usability by clarifying, adding, removing content, and organising the materials in new ways. We emphasise the importance of continued PPI throughout the project to maximise the translation of findings into practice.

Because conducting experimental coinfections is intractable in most parasite systems, inferences about the presence and strength of interspecific interactions in parasite communities are often made from analyses of field data. It is unclear whether methods used to test for competition are able to detect competition in field-collected datasets. Data from a study of the intestinal helminth communities of creek chub (Semotilus atromaculatus) were used to explore the potential of commonly available methods to detect negative interactions among parasite species in species-poor, low-intensity communities. Model communities were built in the absence of competition and then modified by four modes of competition. Both parametric and null model approaches were utilized to analyze modelled parasite communities to determine the conditions under which competitive interactions were discerned. Correlations had low Type I error rates but did not reliably detect competition, when present, at a statistically significant level. Results from logistical regressions were similar but showed improved statistical power. Results from null model approaches varied. Envelope analyses had near ideal properties when parasite prevalence was high but had high Type I error rates in low prevalence communities. Co-occurrence analyses demonstrated promising results with certain co-occurrence metrics and randomization algorithms, but also had many more cases of failure to detect competition when present and/or reject competition when it was absent. No analytical approach was clearly superior, and the variability observed in the present investigation mirrors similar efforts, suggesting that clear guidelines for detecting competition in parasite communities with observational data will be elusive.

As recently as the early 1990s, Americans living in rural and urban areas voted similarly in presidential elections, yet in the decades since, they have diverged sharply as rural people in all regions of the country have increasingly supported the Republican Party. We seek to explain the sources of this growing cleavage by examining two interrelated processes of change: political-economic transformation that elevated many urban areas and marginalized rural ones, and the nationalization of policy goals. Our analytical approach is developmental, probing the timing and sequencing of trends across more than four decades. It is also comprehensive, testing theories related to economic decline, the educational gap, organizational mobilization, and racism and racial and ethnic threat. Our analysis reveals that while rural and urban counties resembled each other in several respects in the 1970s, they have since moved apart. We examine how key trends relate to political change in presidential voting. We find that in the 1990s and early 2000s, rural dwellers in places experiencing population loss or economic stagnation began to support Republican candidates. Then from 2008 to 2020, those in areas with higher percentages of less-educated residents, a higher presence of evangelical congregations per capita, and higher levels of anti-Black racism, each more prevalent in rural areas than urban areas, shifted their support to Republicans. Through sequential processes of polarization, with political-economic forces leading the way and activating rural resistance to the nationalization of policy goals subsequently, the rural-urban political divide emerged as a major fault line in the nation’s politics.

The Neotropics have vast river catchments with untapped hydroelectric potential, but there are multiple expected negative impacts of dams, including those on local food security and livelihoods. Yet, monitoring of dam effects on subsistence is rare, particularly during initial implementation. Our study assessed changes in human fish consumption near the Belo Monte Dam in the Brazilian Amazon during the period 2012–2021, which covers construction, operation and a severe El Niño-induced drought. Over time, fish became less common and were consumed in smaller amounts, even though fewer people shared meals. The largest changes occurred between 2013 and 2016 (post-construction but prior to full operation), resulting in a downward trend in fish consumption, particularly during the drought season. Adding more fish species to the diet did not increase consumption per person. These changes in fish consumption suggest that they stem from environmental impacts of the project (e.g., reduced river level), despite secondary effects from climatic events. These findings underscore the urgent need for comprehensive assessments of the social and ecological impacts of large infrastructure projects in the Amazon, along with sustainable and equitable management strategies to ensure food security and meet the needs of local communities.

In this paper, we compute the LS-category and equivariant LS-category of a small cover and its real moment angle manifold. We calculate a tight lower bound for the topological complexity of many small covers over a product of simplices. Then we compute symmetric topological complexity of several small covers over a product of simplices. We calculate the LS one-category of real Bott manifolds and infinitely many small covers.

This study formulates a qualitative image-based approach to establishing cetacean sightings’ effort at an ecosystem scale in the Gulf of Maine. As a first step, I investigate a rare set of long-term sightings (2008–2017, the study period) of a male killer whale (Orcinus orca) representing unusually consistent occurrences, without considering observation effort. Largely unknown, killer whale populations in the NW Atlantic are tiny, travelling over vast areas, and at risk of human-caused extinction. The synthesis uses opportunistic observations, reported mainly by recreational mariners and commercial fishers incorporated into data manipulations anonymously. Adding an effort index using the qualitative image-based approach, I then investigate the hypothesis that the killer whale sightings constitute seasonal-spatial fidelity to the greater GoM, the first documentation of fidelity patterns in the western Atlantic hemisphere. The analysis includes comparisons to frequency distributions of single killer whales in the gulf in the historical past as a baseline, i.e. post mid 1940s. Finally, the fidelity analysis reveals a substantial spatial anomaly in the recent sightings data for the northeastern GoM. An explanation for the emergent anomaly is pursued by analyses of indicators of the availability of Atlantic herring (Clupea harengus) [fisheries landings, Atlantic puffin (Fratercula arctica) chick diets] as potential prey in the NE gulf. With the development of complementary corroborative approaches to the analysis of incidental sightings, it is possible to chip away at impediments to the understanding of ecosystem attractants and deterrents with respect to cetacean distributions.

We estimated the racial disparity in rates of invasive S. aureus infections based on community coronavirus disease 2019 (COVID-19) rates at the county level. Our data suggest that COVID-19 infection burden (1) affects not only hospital-onset MRSA invasive infection risk but also community-onset S. aureus invasive infection risk and (2) affects Black residents ∼60% more than White residents.

Wind energy is a source of collision fatalities for birds and bats. To evaluate the risk that wind power development projects might pose to the conservation of protected species, it is essential to quantify the impact of collisions on the dynamics of wild populations. To address this challenge, two approaches are primarily employed: potential biological removal (PBR) and population projection analysis (PPA). PBR is a decision rule designed to calculate a sustainable fatality limit for a given population, whereas PPA relies on simulation-based modelling to forecast a population’s future trajectory under various scenarios. In the context of environmental impact assessments (EIAs), we argue that PPA offers a more suitable method than PBR for evaluating population-level impacts resulting from collisions with wind turbines. Unlike PBR, PPA can be focused on a single source of disturbance, aligning with the perspective of the EIA process. By contrast, PBR necessarily adopts a population-centred perspective and is therefore only relevant when considering all sources of mortality that jointly affect a population. Furthermore, robust utilization of the PBR approach requires the definition of quantitative conservation objectives and the implementation of a comprehensive management strategy evaluation, neither of which is ever undertaken within the context of an EIA.

Pension funds and insurers face difficulties in hedging their longevity risk, which is the uncertainty of how long their clients will live. A possible solution could be using longevity-linked securities to transfer some of this risk to other parties. However, these securities may not match the actual mortality rates of the insurer’s clients, resulting in a potential loss due to basis risk. In this paper, we measure this basis risk through the pricing of a longevity derivative under Solvency II. We also compare this method with other common pricing methods in finance. We explore and evaluate different hedging strategies for insurers, using a multi-population model derived from a two-dimensional Hull and White model that captures the dynamics of mortality over time.

A 47-year-old with repaired ventricular septal defect and pulmonary valve stenosis as a child presents with chronic intermittent chest pain. CT evaluation for transcatheter pulmonary valve replacement revealed right coronary artery compression between a sternal wire and dilated right ventricle. Removal of the sternal wire resulted in improved symptoms.