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Citizens’ opinions about politicians are shaped by their perceptions of politicians’ personalities, characters, and traits. While prior research has investigated the traits voters value in politicians, less attention has been given to the traits politicians project in their public communication. This may stem from challenges in defining politicians’ public personality traits and measuring them at scale using computational text analysis. To address this challenge, we propose a computational approach that builds on public statements (personality cues) to infer politicians’ personalities from textual data. To do so, we operationalize two key political traits—agency and communion—using a theory-driven, domain-specific framework. We then compare various computational text analysis methods for extracting these traits from a large corpus of politicians’ parliamentary speeches, social media posts, and interviews. We validate our approach using a comprehensive set of human-labeled data, functional tests, and analyses of how prominently personality traits appear in the statements of German politicians and in the 2024 U.S. presidential debate between Donald Trump and Kamala Harris. Our findings indicate that prompting based techniques, particularly those leveraging advanced models such as DeepSeek-V3, outperform supervised and semisupervised methods. These results point to promising directions for advancing political psychology.
People living with epilepsy (PWE) experience higher rates of depression compared with the general population. Depression in PWE is associated with increased seizure burden and reduced quality of life. We aimed to examine clinical and demographic correlates of depression severity using the nine-item Patient Health Questionnaire in PWE experiencing negative health events in the past 6 months.
Aims
(a) To assess how depressive severity correlated with seizure frequency;
(b) To examine how outcomes such as quality of life are influenced by depressive severity;
(c) To investigate how demographic factors affect depressive severity.
Method
Depressive severity was defined as a score of 0–9 for no depression to mild symptoms (NMD), 10–19 for moderate depression (MOD) and 20–27 for severe depression. Continuous variables were analysed using the Kruskal–Wallis equality-of-populations rank test, and categorical variables were compared using Fisher’s exact test. Baseline data were taken from Sequential, Multiple Assignment Randomized Trial no. NCT04705441.
Results
The sample of 159 participants had a mean age of 39.46 years (s.d., 12.15), with the majority (n = 131, 82.4%) identifying as White. A total of 48% (n = 76) of participants met the criteria for NMD, 41% (n = 65) met those for MOD and 11% (n = 18) met those for severe depression. The severe depression group had significantly more seizures in the past 30 days, as well as greater perceived stigma, lower social support and lower quality of life, compared with the other groups. Race was found to correlate with depressive severity in NMD and MOD versus the severe depression group.
Conclusions
Among adults with epilepsy, depressive severity was positively correlated with seizure frequency and stigma and negatively correlated with quality of life, social support and overall functioning. These results highlight the importance of routine screening for depression, and of providing management of these symptoms in comprehensive epilepsy care.
Understanding how suicide rates vary across age, sex, and geography is essential to designing effective prevention strategies. We examined long-term trends in suicide mortality across European countries over three decades, with a focus on age-specific trajectories.
Methods
Using the WHO mortality database, we computed annual sex- and age-specific suicide rates (10–14 to 85+ age groups) from 1990 to 2022, for the most populous European countries, and aggregated rates for the EU-27 and four geographical areas (North, West, South, and Centre-East Europe). We also calculated percentage differences across four time periods (1990–1994, 2000–2004, 2010–2014, and 2020–2022), according to data availability.
Results
Suicide rates increased with age, peaking in older individuals (85+) in most countries (e.g., 82.0/100,000 in France in 2020–2022, 77.1/100,000 in Germany among males, in 2020), except in the UK and Northern Europe, where rates peaked at middle age (∼22/100,000 at 45–49, in 2020). EU-27 suicide rates in 2020 ranged from 5.5/100,000 (age 15–19) to 58.2/100,000 (85+) among males, and from 2.6 (15–19) to 8.6/100,000 (85+) among females. Male suicide rates were 3 to 8 times higher than female rates across all ages. While overall rates declined since 1990 in most countries, youth suicide increased after 2010 in Western (e.g., +12%, girls 15–19), Southern (+24.5%, girls 15–19), and Northern (+44%, girls 15–19 and 20–24) Europe. Rates among young and middle-aged adults recently rose in Spain, the UK, and Northern Europe, while they declined in Eastern Europe after the 1990s.
Conclusions
Despite overall declines, our findings highlight marked heterogeneity in sex- and age-specific trends in suicide mortality across Europe. These patterns call for age-tailored prevention strategies that address evolving psychosocial stressors and structural determinants across the lifespan.
This article investigates the dynamics of microcredit in late-medieval Italy by examining the case of fourteenth-century Vercelli and its surrounding rural area. Drawing on an extensive corpus of notarial sources, it highlights how credit networks were sustained not only by elite bankers and merchants but also by less prominent actors embedded in everyday social and economic life. Two case studies – the baker Enrico da Greggio and the priest Salerno Ferraroto – illustrate the role of small-scale lenders and borrowers in structuring a dense web of transactions. Their activities reveal how personal trust, proximity and reciprocity enabled access to liquidity through loans, rents and credit, often mediated by the Sant’Andrea monastery and hospital. Far from marginal, these practices constituted a vital infrastructure of support for urban and rural populations alike, allowing individuals of modest means to become active participants in the circulation of capital. By analysing these intertwined networks, the article underscores the significance of documentary practices in shaping the economy of trust and credit. The study ultimately argues that grassroots credit systems were central to the functioning of late-medieval urban society, challenging narratives that privilege only large-scale or institutional forms of credit.
We present an acoustic characterisation of a model-scale wind turbine using large eddy simulation and the acoustic analogy. The analysis is representative of medium-sized turbines with low tip Mach number (${\sim} 0.10$). The fluid dynamic analysis revealed: a turbulent boundary layer over the blades, together with a trailing edge vortex sheet; a complex near-wake structure, including tip and root vortices; an intermediate wake with vortex instabilities triggering leap-frogging and vortex grouping mechanisms; and a far wake characterised by fully developed turbulence. Two primary noise generation mechanisms were identified. The unsteady pressure field over the turbine surface generates tonal noise at the blade passing frequency and a high-frequency broadband noise, associated with the trailing edge vortex sheet (linear-noise contribution). The turbulent wake generates broadband low-frequency noise, driven by the complex fluid-dynamic processes outlined previously (nonlinear noise contribution). The linear part of the noise was found to dominate over the nonlinear one in the acoustic far field, while the opposite is true in the acoustic near field. As a composition of the two contributions to the noise, the directivity exhibits a non-symmetric dipole shape oriented along the flow direction, with lobes recovering symmetry moving from the near to the far field. Finally, analysis of the acoustic decay rates reveals that the linear term in the near field decays according to an $r^{-(n+1)}$ law within the rotor plane, where n is the number of blades, consistent with recent findings on the acoustics of rotating sources.
Event history analysis (EHA) revolutionized the study of policy diffusion. However, many diffusion studies are snapshots of a policy’s spread. This begs the question of what we are learning from studies of (often) incomplete diffusion. The simple question that we ask – when should a diffusion study be conducted? – is complex to answer. We offer insight into this question using literature on EHA and empirical observation. We use data from the State Innovation and Policy Diffusion database on 83 policies that were adopted by at least 42 states to demonstrate how key results change as the observation window changes. We conclude with advice on how to approach modeling and interpreting incomplete policy diffusion in the future.
This article examines how the ideological outlook of the British worker co-operative movement gradually assumed a neoliberal character. Drawing on methods from conceptual history, it traces the evolution of the movement’s key ideas and explores the changing language in which they were expressed. Central to this shift was the emergence of a social-enterprise discourse that reframed an earlier New Left commitment to pursuing worker control “in and against the market” as a conviction that such control could be achieved only “in and through” market participation. The study centres on the Industrial Common Ownership Movement (ICOM), a national federation of worker co-operatives active in Britain between 1971 and 2001. It uses items published by ICOM, material from numerous archives, and oral interviews conducted with some of those involved in the federation’s final years.
The study explored physical education teacher educators’ (PETE educators) perspectives on integrating sustainable development (SD) imperatives within PETE courses. Nine PETE educators participated in a nine-month professional learning project featuring six workshops and seminars promoting reflection, peer discussion and dialogic encounters. The PETE educators designed pedagogical interventions based on their teaching practices, selecting teaching units where SD perspectives could be integrated. Data included intervention papers, audio-recorded sessions and logbooks, analysed descriptively and thematically. The proposed interventions focused on inclusion, equality and lifelong physical activity, and typically included lectures, seminars, student-centred teaching, reflections and assignments. Challenges included contextualising SD in PETE, framing SD goals, integrating SD content and addressing its normative nature. The study offers insights into the potential of integrating SD perspectives in PETE, highlights associated challenges, and calls for further research to bridge theory and practice.
As cities in the Global South gain visibility in global forums – engaging in climate negotiations, forming alliances and aligning with development goals – their legal and economic status remains structurally ambivalent. This article challenges the idea that these cities are becoming full international legal actors. Instead, we argue that they possess a ‘borderline international legal personality’: conditionally included in global regimes through mechanisms that reinforce long-standing asymmetries. Central to this dynamic is the notion of ‘creditworthiness’, now a key metric of development. Tools like sub-sovereign credit ratings pressure cities to prioritise investor confidence over local needs. These interventions promise international agency but often deepen financial dependency. We call for a re-reading of urban internationalism, attentive to the in-between status of Global South cities – caught between aspiration and discipline. Any emancipatory urban agenda must confront the financialisation of local governance and centre debt justice, autonomy and institutional reform.
This forum contribution considers the complexities and importance of gender in the historiography of LGBTQ+ college students. After a brief introduction, we focus on four key areas in the existing historiography: women’s romantic relationships in the late nineteenth and early twentieth centuries, higher education leaders’ enforcement of gender norms and purges of LGBTQ+ students through the mid-twentieth century, the gender dynamics within LGBTQ+ student organizations from the 1970s onward, and trans and other LGBTQ+ students’ expansion of gender possibilities, including through the use of drag. In so doing, we argue that gender analysis is important to the historiography of LGBTQ+ students, though most often that analysis has been implicit rather than explicit. Considering both the gaps in our historical knowledge and the rising attacks on LGBTQ+ individuals, we contend that continued gendered analyses are not only warranted but also needed.
Gerschenkron (1962) argued that public institutions such as the State Bank of the Russian Empire spurred the country’s industrialization. We test this assertion by exploiting plant-level variation in access to State Bank branches using a unique geocoded factory data set. Employing an identification strategy based on geographical distances between banks and factories, our results show improved access to public banking encouraged faster growth in factory-level revenue, mechanization, and labor productivity. In line with theories of late industrialization, we also find evidence that public credit mattered more in regions where commercial banks were fewer and markets were smaller.
We investigate the scale-by-scale transfers of energy, enstrophy and helicity in homogeneous and isotropic polymeric turbulence using direct numerical simulations. The study relies on the exact scale-by-scale budget equations, derived from the governing model equations, that fully capture the back-reaction of polymers on the fluid dynamics. Polymers act as dynamic sinks and sources and open alternative routes for interscale transfer whose significance is modulated by their elasticity, quantified through the Deborah number (${\textit{De}}$). Polymers primarily deplete the nonlinear energy cascade at small scales, by attenuating intense forward and inverse transfer events. At sufficiently high ${\textit{De}}$, a polymer-driven flux emerges and dominates at small scales, transferring on average energy from larger to smaller scales, while allowing for localised backscatter. For enstrophy, polymers inhibit the stretching of vorticity, with fluid–polymer interactions becoming the primary enstrophy source at high ${\textit{De}}$. Accordingly, an analysis of the small-scale flow topology reveals that polymers promote two-dimensional straining states and enhance the occurrence of shear and planar extensional flows, while suppressing extreme rotation events. Helicity, injected at large scales, exhibits a transfer mechanism analogous to energy, being dominated by nonlinear dynamics at large scales and by polymer-induced fluxes at small scales. Polymers enhance the breakdown of small-scale mirror symmetry, as indicated by a monotonic increase in relative helicity with ${\textit{De}}$ across all scales.
Precision agriculture technology (PAT) is often viewed as a potential driver of future efficiency gains in farming. Using within-farm variation from an unbalanced panel of Kansas farms, this study examines the impact of PAT bundles on efficiency in generating gross revenue. On average, we find little evidence that these technologies improve efficiency. However, among less efficient farms, several bundles are linked to notable efficiency gains, underscoring the importance of accounting for farm heterogeneity.
Social media has become a strategic driver of sponsorship effectiveness in major sporting events. At the 2024 Paris Olympics, digital platforms transformed how sponsorship relationships are formed, sustained, and activated for audience engagement. Yet, the mechanisms through which social media management influences sponsorship outcomes remain underexplored. This study examines the mediating role between core sponsorship antecedents – sport involvement, event attachment, brand familiarity, and sponsor-event congruence – and engagement outcomes. A quantitative survey of 7,412 Greek spectators was analyzed using structural equation modeling to test the proposed framework integrating sponsorship management and digital strategy. Results confirm that social media substantially amplifies the impact of sponsorship factors, fostering stronger sponsor–spectator connections and enhancing sponsorship returns. This is the first empirical model to link social media usage as a mediating variable between sponsorship antecedents and engagement outcomes in the context of mega-events, with a focus on the Paris 2024 Olympics. The research contributes to theory by positioning social media as a critical mediator in sponsorship strategy and offers actionable insights for managers seeking to optimize sponsorship effectiveness across diverse cultural and event contexts.
Contact between fluctuating, fluid-lubricated soft surfaces is prevalent in engineering and biological systems, a process starting with adhesive contact, which can give rise to complex coarsening dynamics. One representation of such a system, which is relevant to biological membrane adhesion, is a fluctuating elastic interface covered by adhesive molecules that bind and unbind to a solid substrate across a narrow gap filled with a viscous fluid. This flow is described by the stochastic elastohydrodynamic thin film equation, which incorporates thermal fluctuations into the description of viscous nanometric thin-film flow coupled to elastic membrane deformation. The average time it takes the fluctuating elastic membrane to adhere is predicted by the rare event theory, increasing exponentially with the square of the initial gap height. When the forces arising from spring-like adhesive molecules are included in the simulations, thermal fluctuations initiate phase separation of domains of bound and unbound molecules. The coarsening process of these unbound pockets displays close similarities to classical Ostwald ripening; however, the inclusion of hydrodynamics affects power-law growth. In particular, we identify a new bending-dominated coarsening regime, which is slower than the well-known tension-dominated case.
Mental health difficulties affect the well-being of doctors and compromise the delivery of healthcare. However, large-scale data on doctors’ mental health needs are limited.
Aims
Describe patterns of self-referrals for mental health support among doctors in England and explore associations with demographic factors, speciality, neurodevelopmental and mental health indicators.
Method
Observational study using data from doctors who self-referred for mental health difficulties to a national service in England over a 4-year period. Logistic regression was used to explore associations between speciality and mental health indicators.
Results
Of the 16 815 doctors who self-referred during the study period, 80% were under the age of 49 and 70.6% were female with the two largest ethnicities being 65.1% White and 22.7% Asian. Women were more likely to report higher scores for depression (odds ratio 0.90, 95% CI = 0.84 to 0.97), anxiety (odds ratio 0.78, 95% CI = 0.72 to 0.84) and psychological distress (odds ratio 0.78, 95% CI = 0.70 to 0.87), but males were more likely to screen positive for attention-deficit hyperactivity disorder (ADHD) symptoms. Doctors in general practice accounted for 46.3% of referrals. Compared with them, doctors in most other specialities had higher odds of elevated mental health scores across all measures, including ADHD.
Conclusions
The findings highlight a significant mental health burden among self-referring doctors, particularly for females and doctors in non-general practice specialities. Tailored and easily accessible support strategies that account for both demographic and professional contexts are essential to address the diverse mental health needs of the medical workforce.