Deposits of thick volcanic and volcaniclastic series can be interpreted as either related to regional tectonics (commonly extensional or transtensional tectonics) or local volcanic mechanisms (caldera collapse). In order to distinguish between these two end-member mechanisms, we propose the use of magnetic techniques, namely analysis of Anisotropy of Magnetic Susceptibility (AMS) and paleomagnetism, and analysis of geological structures. These techniques have been applied to the Estac Basin (Central Pyrenees), an inverted Late Carboniferous–Permian basin now involved in the antiformal stack of the Pyrenean belt. AMS data provide directions of flow of volcanic rocks that can be interpreted in terms of palaeo-slopes and therefore can be related to structures contemporary with deposition and Late Carboniferous–Permian volcanic activity. The maximum of the magnetic lineation (i.e. volcanic paleoflow) direction is bimodal, with (i) an absolute maximum (as occurring in most South-Pyrenean Late Carboniferous–Permian basins) along a WNW–ESE direction and (ii) a secondary magnetic lineation along an N–S direction. Paleomagnetic data obtained from the volcanic products show a primary magnetization or early remagnetization compatible with the Late Carboniferous–Permian paleomagnetic reference direction and allow us to reconstruct an early folding probably related to the warping of the basin. The magnetic and structural data can be interpreted according to a volcano-tectonic subsidence model in which E–W faults played a major role and caldera collapse contributed to the important thickness of the volcaniclastic deposits.

This paper builds on research conducted in 2008 by Wright into the uneasy power dynamics between a music teacher and her pupils in a secondary school music classroom in Wales as a result of her Western Classical ‘habitus’; by this, we mean the habitual behaviours, attitudes and values that are commonplace when operating as a classical musician. Some 18 years on, and in a transformative Welsh education climate, narrative data collected from pre-service teachers practising in similar classrooms in Wales suggest that they have begun to move away from their Western European classical ‘habitus’ and believe in shared pedagogic ownership that takes account of pupil voice and choice. Furthermore, in learning to teach, they develop pedagogic behaviours more akin to popular musicians, such as being more improvisatory and more willing to tolerate uncertainty. A key factor is the trusting and collaborative relationships they developed with their mentors (teacher-tutors) within an education system in Wales that has committed itself to the concept of subsidiarity. These findings mark a positive step forward for the music education community within a new and aspirational educational landscape in Wales.

This article explores violent extremism (VE) through an embodied, bottom-up lens, using body-mapping with Muslim women in Kenya. Drawing on two selected body maps, we critically interrogate the use of VE is as a framework for analysing the harm experienced by women. Our participants used the terminology of VE to refer to not only Al-Shabaab–related violence but also gender-based violence, gang violence, and state violence. These insights highlight a key tension in critical scholarship on VE: while often critiqued from a distance, VE is actively reappropriated by those most affected. We argue that, as a community disproportionately targeted by countering violent extremism (CVE) initiatives, our participants employed the language of VE as a form of adaptive resistance – challenging both the violent policing of CVE and the patriarchal violence embedded in their daily lives. This article contributes to feminist decolonial critiques of VE by centring the voices of those most impacted, and by questioning critiques that overlook lived experiences. Additionally, by sharing our arts-based methodology, we contribute to emerging literature on decolonial research practices. Finally, we raise critical questions about the intersections of gender-based violence, gang violence, state violence, and VE in Kenya and beyond.

Automating data extraction from full-text randomized controlled trials for meta-analysis remains a significant challenge. This study evaluates the practical performance of three large language models (LLMs) (Gemini-2.0-flash, Grok-3, and GPT-4o-mini) across tasks involving statistical results, risk-of-bias assessments, and study-level characteristics in three medical domains: hypertension, diabetes, and orthopaedics. We tested four distinct prompting strategies (basic prompting, self-reflective prompting, model ensemble, and customized prompts) to determine how to improve extraction quality. All models demonstrate high precision but consistently suffer from poor recall by omitting key information. We found that customized prompts were the most effective, boosting recall by up to 15%. Based on this analysis, we propose a three-tiered set of guidelines for using LLMs in data extraction, matching data types to appropriate levels of automation based on task complexity and risk. Our study offers practical advice for automating data extraction in real-world meta-analyses, balancing LLM efficiency with expert oversight through targeted, task-specific automation.

CD39 plays a pivotal role in the ATP-to-adenosine signalling pathway, serving as a critical mediator of immune suppression within the tumour microenvironment. Increasing preclinical evidence indicates that its inhibition can restore antitumour immunity and improve the efficacy of established treatments. In this review, we summarise the biology of CD39, its role in shaping the immunosuppressive tumour microenvironment, and therapeutic strategies currently under development. We also discuss early clinical progress and safety considerations, along with major challenges and future perspectives. Targeting CD39 represents a promising strategy to overcome tumour-induced immunosuppression and ongoing advances in therapeutic development could usher in next-generation immunotherapies.

Why do both economically advantaged and disadvantaged voters sometimes converge in their support for conservative parties? This study examines how subjective class consciousness mediates the relationship between economic inequality and political behaviour in South Korea. Moving beyond conventional class-voting models based on income or occupation, it conceptualises class as a relational and perceptual construct formed through social comparison. This study argues that rising inequality weakens identification with the subjective middle class, generally associated with progressive orientations, while reinforcing symbolic divisions between those who perceive themselves as upper or lower class. Using nationally representative survey data and local administrative–level (si-gun-gu) electoral returns from 2012 to 2022, the analysis finds that both subjective class identification and local inequality are significantly associated with conservative support. At the individual level, voters identifying as either the upper or lower class are more likely to support conservative parties than those identifying as the middle class. At the local administrative-unit level, higher inequality corresponds with greater conservative vote shares. These findings suggest that inequality influences political behaviour not only through material conditions but also through perceptions of social hierarchy.

Identifying studies for inclusion in realist syntheses using title and abstract screening is challenging given the need to unearth explanatory insights to build context–mechanism–outcome configurations. Such insights may only be uncovered through full-text paper reading. To address this issue, a novel approach for identifying studies has been developed called Reverse Chronology Quota Record Screening (RCQRS). Results of database searches are screened in reverse chronology, and in stages, to fill quotas matching the requirements of the review. RCQRS may be beneficial in any of the following circumstances: (a) the timeframe to complete the synthesis is short; (b) the scope of inquiry is not fully defined, (c) the availability of suitable literature is beyond the screening capacity of the reviewers; or (d) the availability of literature is sparse and reviewers seek to extrapolate insights from other areas. In contrast to RCQRS, exhaustive title and abstract screening (i.e., screening entire database results) may hamper study selection due to being overwhelming in volume and time-intensive, resulting in a causally thin cohort of papers for analysis. RCQRS used in stages, and in conjunction with other search strategies (e.g., hand searching, backward citation tracking, and expert solicitation) can support creative, robust analytical insights with causally rich extrapolations. Using the Horizon-EU funded SERENITY study on deprescribing in palliative care as a case example, the benefits and limitations of RCQRS are explored. Finally, a checklist template is offered for teams who wish to reflect on, and transparently report, the use of RCQRS in their realist synthesis.

When a country sees multiple mass mobilisations over time, what accounts for variation in where protest occurs across the different protest waves? This article examines the case of mass protests in Ukraine 1990-2004, exploring how the emergence and development of activist networks aligns with changes in the geospatial dispersion of protest over time. It draws on archives and interviews with activists made available by The Three Revolutions Project, and newspaper reports from Ukrainska Pravda, Korrespondent.net and Radio Svoboda, utilising protest event analysis, along with QGIS software to visually represent findings. The article presents novel empirical findings on the geospatial scope of protest events across Ukraine from 1990 onwards, and demonstrates some of the ways in which regional activist networks expanded, developed, and sought cross-cleavage collaboration, aiming to facilitate increasing nationwide mobilisation. It provides valuable context for understanding subsequent Ukrainian mobilisation, such as the 2013-14 Euromaidan protest, and ongoing resistance to Russia’s full-scale invasion.

Pulmonary arterial hypertension leads to dyspnoea, fatigue, and oxygen desaturation, limiting activities of daily living and functional capacity. This study aimed to evaluate the impact of pulmonary arterial hypertension on activities of daily living performance, functional capacity, peripheral muscle strength, oxygen dynamics, and energy expenditure. Eighteen adolescents and young adults with pulmonary arterial hypertension (10 females, 8 males; age 9–30 years) and 15 healthy controls (10 males, 5 females; age 9–30 years) were included. Peripheral muscle strength was assessed using a handheld dynamometer, functional capacity via the 6-minute walk test, and muscle oxygenation through near-infrared spectroscopy. Lower-limb endurance was evaluated with the 1-minute sit-to-stand test and activities of daily living performance with the Glittre Activities of Daily Living test. Compared to controls, the pulmonary arterial hypertension group had significantly lower 6-minute walk test distance (441.9 m versus 636.9 m; p < 0.001), reduced sit-to-stand repetitions (28 versus 42.1; p < 0.001), weaker peripheral strength, and lower minimum muscle oxygen saturation (24.9% versus 51.8%; p < 0.001). Glittre Activities of Daily Living test duration was longer (143 s versus 105 s; p < 0.001), with greater oxygen desaturation (−13% versus −1%; p < 0.001), higher dyspnoea scores using modified Borg scale (5 versus 1; p < 0.001), and blunted heart rate response (ΔHR [change in heart rate]: 32 versus 64; p = 0.011). These findings demonstrate that pulmonary arterial hypertension significantly impairs both cardiopulmonary and peripheral muscle function. Protecting muscle health and improving functional capacity should be prioritised to enhance quality of life in this population.

This article critically examines the challenges of trade union “just transition” (JT) policies in the context of the ecological crisis. While JT policies have grown in prominence, especially in the Global North, they do not adequately address the ecological crisis since they focus exclusively on decarbonisation without recognising that Green Growth, by reducing emissions increases environmental destruction created by the extraction of ever more minerals and metals. JT policies are further constrained by national boundaries and by a policy centred on jobs only, without acknowledging the broader needs for dignified lives and a regenerative relationship between labour and nature. Research into workers’ visions for the future shows that workers long for cooperation, democratisation from below, a connection of local and global solidarity, and more time to care for themselves and others. The author suggests that unions could connect with such visions to develop transformative, globally coordinated JT strategies that centre on cooperation and self-determination, allowing them to move away from growth imperatives towards a regenerative economy that centres on care for both, people and nature.

The near-axis description of optimised stellarator fields has proven to be a powerful tool both for the design and understanding of this magnetic confinement concept. The description consists of an asymptotic model of the equilibrium in the distance from its centremost axis, and is thus only approximate. Any practical application therefore requires the eventual construction of a global equilibrium. This paper presents a novel way of constructing global equilibria using the DESC code that guarantees the correct asymptotic behaviour imposed by a given near-axis construction. The theoretical underpinnings of this construction are carefully presented, and benchmarking examples provided. This opens the door to an efficient coupling of the near-axis framework and that of global equilibria for future optimisation efforts.

Kaolinite, a widely distributed clay mineral, is extensively applied in construction, industry and agriculture due to its physical, chemical and mechanical properties. This study employed quantum mechanics-based first-principles calculations to investigate the crystal structure, electronic properties and mechanical properties of kaolinite at various temperatures from a microscopic perspective. The main conclusions are as follows: structurally, lattice parameters (a, b, c) and volume increased with temperature, with c showing the largest such increase. The interlayer spacing between silicate tetrahedral and alumina octahedral layers slightly decreased from 0.3733 to 0.3702 Å, indicating that temperature exerts a stronger influence on the interlayer hydrogen bonds than on the covalent bonds within the layers. Electronically, in the 0–750 K range, kaolinite’s band gap narrowed from 5.13 to 5.06 eV; s orbital electrons of Al atoms jumped from the valence to the conduction band, reducing insulation. Mechanically, the elastic constants C11, C22, C33, C44 and C66 decreased while C55 increased with temperature. The bulk modulus declined continuously, whereas the shear modulus and Young’s modulus first increased then decreased. The universal anisotropy index decreased markedly, reducing elastic anisotropy. Temperature (0–750 K) significantly affects kaolinite’s properties. This study provides a reliable theoretical basis for optimizing the physicochemical and mechanical properties of kaolinite-based materials.

The use of Generative Artificial Intelligence (GenAI) by teenagers is increasing rapidly. GenAI is a form of artificial intelligence that creates new text, images, video and audio, using models based on huge amounts of training data. However, using GenAI can also create misinformation and biased, inappropriate and harmful outputs. Teenagers are increasingly using GenAI in daily life, including in mental healthcare, and may not be aware of the limitations and risks. GenAI may also be used for malicious purposes that may have long-term, negative impacts on mental health. There is a need to increase awareness of how GenAI may have a negative impact on the mental health of teenagers.