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Public perceptions of gambling in the UK Armed Forces : understanding stigma via qualitative inquiry
(2026-09-09) Smith, Jessica; Treacy, Samantha; Dymond, Simon; Torrance, Jamie; Department of Psychology
Background: Existing research has identified elevated public stigma toward Armed Forces personnel experiencing gambling-related harm. However, the reasoning underlying these perceptions remains poorly understood. Qualitative research can explore the drivers of such stigma and inform potential approaches to reduce it. Methods: A qualitative online survey was conducted with UK-based civilian respondents (N = 52) recruited via Prolific. Participants were screened to ensure they could meaningfully discuss gambling and military life. Open-ended questions invited participants to reflect on perceived risks and discuss attitudes toward gambling in both military and civilian contexts. Responses were analyzed using thematic analysis. Results: Four overarching themes with eleven sub-themes were identified: (1) Constructing the Unknown, (2) Perceived Drivers of Gambling within Military Culture, (3) Locating Responsibility and (4) Responding to Military Gambling. Conclusion: Findings suggest that public interpretations of military gambling-related harm were shaped by tensions between gambling and an idealized military identity, alongside negotiated understandings of responsibility across individual, institutional, and societal levels.
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Motivators of Sexual Violence Disclosures and Mental Health : A Mixed Methods Investigation
(2026-09-04) Sigurvinsdottir, Rannveig; Thorvaldsdóttir, Karen Birna; Jónsdóttir, Erla Katrín; Ásgeirsdóttir, Bryndís Björk; Department of Psychology
The aim of this mixed methods study was to examine motivators and characteristics of sexual violence disclosures and relationships with mental health. A representative national sample of male and female Icelandic adult survivors (N = 473) took part in a survey. Disclosure was common, especially among women, and psychological symptoms were greatest among late disclosers. Motivators of disclosure included violence itself, trauma and recovery, and social context and movements. Social context and movements disclosures related to lower psychological symptoms. Further research is needed to understand how disclosing related to social movements, such as #MeToo, could potentially confer mental health benefits.
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Temporal dynamics of EEG microstates during postural control in Parkinson's disease
(2026-09-01) Gelormini, Carmine; Guerrini, Lorena; Pescaglia, Federica; Maruotto, Ida; Aubonnet, Romain; Jónsson, Halldór; Petersen, Hannes; þormar, Gylfi Örn; Di Lorenzo, Giorgio; Hassan, Mahmoud; Gargiulo, Paolo; Department of Engineering
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterised by motor impairments extending to balance and postural regulation. Although EEG abnormalities in oscillatory activity and functional connectivity are well documented in PD, large-scale brain dynamics during tasks directly engaging postural control remain poorly understood. To address this gap, we examined EEG microstate organisation during the BioVRSea virtual-reality postural-control task in early-stage PD patients (n = 30) and matched healthy controls (HC; n = 26). EEG microstates, brief quasi-stable scalp topographies representing global neural states, provide a robust framework for characterising the rapid temporal structure of whole-brain activity. Although task-based microstate approaches exist, applications to PD remain limited and largely confined to resting-state research. Topographical analyses revealed pronounced between-group differences in microstates D and E, whose group-averaged maps in PD diverged markedly from canonical configurations. Because these maps were not topographically equivalent between groups, comparisons of temporal parameters were restricted to the comparable microstates A–C. Across all task phases, PD patients showed increased duration and coverage of microstates A and B. Transition-probability analysis, likewise restricted to A–C, indicated different trajectories across phases in PD and HC. A single significant Group × Phase interaction emerged for A→C: the largest between-group difference occurred during the POST-movement phase, when PD showed a higher probability than HC. For the remaining transitions, no phase-dependent differences emerged within PD. Because patients were assessed ON medication and clinical or behavioural correlates were unavailable, these findings represent candidate task-state EEG microstate alterations requiring validation, rather than established disease-specific markers.
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igraph 1.0 enables fast and robust network analysis across programming languages
(2026-08-04) Antonov, Michael; Csárdi, Gábor; Horvát, Szabolcs; Müller, Kirill; Nepusz, Tamás; Noom, Daniel; Salmon, Maëlle; Traag, Vincent; Welles, Brooke Foucault; Zanini, Fabio; Department of Computer Science
Networks or graphs are widely used across the sciences to represent relationships of many kinds. The igraph (https://igraph.org) software library supports graph construction, analysis, and visualisation, combining fast and robust performance with a low entry barrier. igraph pairs a fast core written in C with beginner-friendly interfaces in Python, R, and Mathematica. After twenty years of development, igraph 1.0 has been released, enabling public access to a robust and stable network analysis with over a million monthly downloads. Thanks to its cross-language design, igraph delivers both speed and flexibility: it can handle billions of edges, supports interactive plotting, integrates with notebooks, facilitates conversions to and from other network libraries, includes a rich library of graph layout and community detection algorithms, and has a detailed documentation including non-English translations. Modern testing features such as continuous integration, address sanitizers, stricter typing, and memory-managed vectors have also increased robustness. Hundreds of bug reports have been fixed and a community forum has been opened to connect users and developers. Specific effort has been made to broaden use and community participation by women, non-binary people, and other demographic groups typically underrepresented in open source software.
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When war moves oil : Energy dependence and global equity responses to the 2026 Iran conflict
(2026-07-27) Kaczmarek, Tomasz; Demir, Ender; Rouatbi, Wael; Zaremba, Adam; Department of Business and Economics
We provide, to the best of our knowledge, the first systematic cross-country analysis of global equity market reactions to the U.S.-Israeli military operation against Iran on February 28, 2026, using daily returns from 67 countries. Stock prices declined materially, signaling a repricing of geopolitical risk. Cross-country heterogeneity reflects energy exposure: fuel exporters experienced smaller losses, while importers suffered larger declines. Nuclear capacity was associated with smaller losses, consistent with diversification benefits. Standard macroeconomic and geopolitical variables have limited explanatory power. Overall, the results suggest that energy markets are a central transmission channel for geopolitical shocks and point to the role of energy independence in financial resilience.

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