Although bilinguals use both auditory and visual cues, the cognitive cost of language switching in audiovisual contexts is unclear. We investigated the cost in Tibetan–Chinese bilinguals using a task with audiovisual, visual and auditory modalities. In Study 1, the audiovisual modality yielded the fastest reaction times, reflecting improved processing efficiency. ERP data revealed smaller positive amplitudes in the early window (200–350 ms) for audiovisual modality, indicating reduced neural demand, while only auditory modality showed significant divergence in the later window (350–700 ms). Moreover, audiovisual context, L2-to-L1 switching and early neural responses predicted switching behavior. Study 2 replicated the behavioral and ERP findings of Study 1 and demonstrated that auditory input and second-language processing exacerbated switch costs. These findings shed light on multisensory integration in language switching by demonstrating that audiovisual cues reduce switch costs, whereas auditory input and second-language processing exacerbate them, with implications for language education and cognitive interventions.

Attention to human rights as a central pillar of global mental health work has shifted from a focus on the right to healthcare to a deeper examination of the quality of care received, and to the way in which people with mental health conditions are treated in all aspects of life. The QualityRights programme is the World Health Organization’s flagship guidance for promotion of rights-based approaches to mental healthcare, and a means of holding service providers to account for quality of care provided. A recent evaluation of the QualityRights e-training package demonstrates promising impact on attitude change of participants, raising the prospect of an efficient scale-up of efforts to improve dignity in services and reduce stigma and discrimination.

Cet article tente de mesurer les changements possibles survenus dans la structure de l’opinion publique sur la question de l’indépendance du Québec. Plus particulièrement, nous comparons deux modèles théoriques qui ont été au coeur de notre compréhension des appuis à l’indépendance, soit le modèle du choix rationnel associé aux coûts-bénéfices prospectifs de l’indépendance et le modèle socio-psychologique qui met de l’avant les griefs et revendications que le Québec ressent face au régime canadien. Notre étude permet aussi d’évaluer la pertinence de ces modèles à travers les générations entre 2014 et 2024; et de considérer de nouveaux facteurs explicatifs contemporains. Dans l’ensemble, nos résultats suggèrent une surprenante stabilité quant à l’importance des différents facteurs considérés pour comprendre les mécaniques expliquant l’appui ou non à l’indépendance du Québec. Les attitudes populistes, nativistes et autoritaristes apportent aussi un pouvoir explicatif additionnel, quoique limité.

In the second half of the 19th century, Darboux obtained determinant formulae that provide the general solution for a linear hyperbolic second-order PDE with the finite Laplace series. These formulae played an important role in his study of the theory of surfaces and, in particular, in the theory of conjugate nets. During the last three decades, discrete analogues of conjugate nets (Q-nets) were actively studied. Laplace series can be defined also for hyperbolic difference operators. We prove discrete analogues of Darboux formulae for discrete and semi-discrete hyperbolic operators with finite Laplace series.

This study revisits the relationship between second-language (L2) learners’ ability to distinguish sounds in non-native phonological contrasts and to recognize spoken words when recognition depends on these sounds, while addressing the role of methodological similarity. Bilingual Catalan/Spanish learners of English were tested on the identification of two vowel contrasts (VI) of diverging difficulty, /i/-/ɪ/ (difficult) and /ɛ/-/æ/ (easy), in monosyllabic minimal pairs, and on their recognition of the same pairs in a word-picture matching task (WPM). Learners performed substantially better with /i/-/ɪ/ in VI than in WPM, and individual scores were only weakly correlated. By replicating previous findings through a more symmetrical design, we show that an account of prior work rooted in methodological dissimilarity is improbable and provide additional support for the claim that accuracy in sound identification does not guarantee improvements in word recognition. This has implications for our understanding of L2-speech acquisition and L2 pronunciation training.

Jespers and Sun conjectured in [27] that if a finite group G has the property ND, i.e. for every nilpotent element n in the integral group ring $\mathbb{Z}G$ and every primitive central idempotent $e \in \mathbb{Q}G$ one still has $ne \in \mathbb{Z}G$, then at most one of the simple components of the group algebra $\mathbb{Q} G$ has reduced degree bigger than 1. With the exception of one very special series of groups we are able to answer their conjecture, showing that it is true—up to exactly one exception. To do so, we first classify groups with the so-called SN property which was introduced by Liu and Passman in their investigation of the Multiplicative Jordan Decomposition for integral group rings.

The conjecture of Jespers and Sun can also be formulated in terms of a group q(G) made from the group generated by the unipotent units, which is trivial if and only if the ND property holds for the group ring. We answer two more open questions about q(G) and notice that this notion allows to interpret the studied properties in the general context of linear semisimple algebraic groups. Here we show that q(G) is finite for lattices of big rank but can contain elements of infinite order in small rank cases.

We then study further two properties which appeared naturally in these investigations. A first which shows that property ND has a representation theoretical interpretation, while the other can be regarded as indicating that it might be hard to decide ND. Among others we show these two notions are equivalent for groups with SN.

The relationship between parliaments and governments during the Covid-19 pandemic has been closely examined by various disciplines, which have typically analysed data on the laws and procedures enforced to manage the emergency. This literature generally agrees that the government dominated the management of the pandemic, often at the expense of parliamentary prerogatives. However, such data may not be sufficiently detailed to fully grasp some nuances. Above all, they may provide limited information on the factors that influenced the balance of powers between the two institutions. This article focuses on the Italian case. It complements data on legislation with the findings of semi-structured interviews conducted with members of parliament and government, as well as high-ranking bureaucrats, to gain a more in-depth understanding of these processes. The data on legislation suggest that governmental dominance was strong at every stage of the emergency, although parliament slightly regained some prerogatives over time. This recovery began under Prime Minister Giuseppe Conte, but it became more pronounced under Mario Draghi. The acquisition of knowledge about the pandemic was perceived by several interviewees as a factor that helped parliament regain some control, making it a possible outcome of a policy learning process. However, other factors also emerged as significant, such as the direct role of the prime ministers in strengthening the role of the executive and the difficulties of the technocratic members of the government in navigating parliamentary dynamics during Draghi’s tenure.

Cyber breaches pose a significant threat to both enterprises and society. Analyzing cyber breach data is essential for improving cyber risk management and developing effective cyber insurance policies. However, modeling cyber risk is challenging due to its inherent characteristics, including sparsity, heterogeneity, heavy tails, and dependence. This work introduces a cluster-based dependence model that captures both temporal and cross-group dependencies, providing a more accurate representation of multivariate cyber breach risks. The proposed framework employs a cluster-based kernel approach to model breach severity, effectively handling heterogeneity and extreme values, while a copula-based method is used to capture multivariate dependence. Our findings, validated through both empirical and synthetic studies, demonstrate that the proposed model effectively captures the statistical characteristics of multivariate cyber breach risks and outperforms commonly used models in predictive accuracy. Furthermore, we show that our approach can enhance cyber insurance pricing by generating more profitable insurance contracts.

This paper examines the likely economic consequences of a unilateral US trade policy, particularly those involving across-the-board tariffs and retreat from multilateral commitments. Drawing on computable general equilibrium (CGE) models, dynamic macroeconomic frameworks, and a rich body of empirical literature, the paper demonstrates that the static efficiency losses, estimated by standard trade models, understate the true costs of protectionism. It identifies five key amplification channels – loss of economies of scale, supply chain fragility, diminished technological spillovers, investment hold-up under policy uncertainty, and financial market reactions – that interact to depress both short-run output and long-run growth potential. The analysis estimates that comprehensive unilateral trade measures could reduce US GDP by 2–3% in the short term and lower the long-term growth trajectory by 0.4–0.7 percentage points annually. While some strategic interventions may yield resilience or national security benefits, the paper concludes that unilateralism generates systemic economic risks and should be approached with caution. The findings underscore the need for integrated policy frameworks that combine targeted trade tools with domestic support and international cooperation.

We conduct an ensemble of simulations of the englacial temperature field of the Antarctic ice sheet to gauge the sensitivity to uncertainties in geothermal heat flow, surface climatic conditions, ice thermodynamics and dynamics. We compare the modeled temperature fields with observational constraints, including deep-borehole temperature measurements, englacial temperatures retrieved from the Soil Moisture and Ocean Salinity satellite observations, and the distribution of subglacial lakes to determine the most likely boundary conditions. Results show that temperate basal conditions prevail over 60% of the Antarctic ice sheet, with a mean basal melt rate of 6.9 mm a−1. The ensemble mean subglacial meltwater production over the grounded ice sheet is 69 Gt a−1, with a contribution of 51% from geothermal heat and 49% from frictional heat. While geothermal heat flow remains the largest source of uncertainty, heat flow datasets leading to colder conditions tend to fit englacial temperature measurements better. However, ice thermomechanical approximations influence the shape of temperature profiles and may, in some cases, be more important than the geothermal heat flow. Furthermore, since frictional heat contributes significantly to basal melt in regions hosting fast-flowing glaciers, uncertainties in basal slipperiness affect the basal melt estimates as much as the geothermal heat flow.