Understanding the connection between active galactic nuclei and star-formation (the AGN-SF connection) is one of the longest standing problems in modern astrophysics. In the age of large integral field unit (IFU) surveys, studies of the AGN-SF connection greatly benefit from spatially resolving AGN and SF contributions to study the two processes independently. Using IFU data for 54 local active galaxies from the S7 sample, we present a new method to separate emission from AGN activity and SF using mixing sequences observed in the [NII]$\unicode{x03BB}$6 584 Å/${\mathrm{H}}\unicode{x03B1}$ vs. [OIII]$\unicode{x03BB}$5 007 Å/${\mathrm{H}}\unicode{x03B2}$ Baldwin–Phillips–Terlevich diagram. We use the new decomposition method to calculate the ${\mathrm{H}}\unicode{x03B1}$ star-formation rate and AGN [OIII] luminosity for the galaxies. Our new method is robust to outliers in the line ratio distribution and can be applied to large galaxy samples with little manual intervention. We infer star-formation histories using pPXF, conducting detailed recovery tests to determine the quantities that can be considered robust. We test the correlation between the AGN Eddington ratio, using the proxy $L\mathrm{[O{III}]}/\sigma_*^4$, and star-formation properties. We find a moderately strong correlation between the Eddington ratio and the star-formation rate. We also observe marginally significant correlations between the AGN Eddington ratio and the light-weighted stellar age under 100 Myr. Our results point to higher AGN accretion being associated with young nuclear star-formation under 100 Myr, consistent with timelines presented in previous studies. The correlations found in this paper are relatively weak; extending our methods to larger samples, including radio-quiet galaxies, will help better constrain the physical mechanisms and timescales of the AGN–SF connection.

Crisis Resolution Teams (CRTs) are being piloted in Ireland as community-based, intensive, short-term services providing rapid intervention for individuals experiencing acute mental health crises. This perspective highlights a group over-represented in emergency care pathways: autistic adults without intellectual disability. For many autistic adults, crises can emerge from burnout, transition pressures and sensory or communication overload, often presenting with heightened distress or suicidality. In systems with limited onward pathways, brief-episode crisis care can become part of a cycle of repeated contacts, with limited scope to address enduring neurodevelopmental needs. We outline pragmatic adaptations: autism-informed workforce education; proactive crisis and safety planning; clear crisis service boundaries with connected pathways for ongoing support; and cross-sector coordination across health and social services. Embedding lived-experience and data capture in learning-sites can drive improvement. Aligned with the Crisis Resolution Service Model of Care and autism policy, these steps can improve safety, equity and continuity of care.

This study offers a systematic and theory-informed integrative synthesis of research at the intersection of artificial intelligence (AI) and entrepreneurship. Although interest in this domain has expanded rapidly, existing research remains fragmented, technology centered, and weakly connected to theories of entrepreneurial decision-making. To address this gap, the study adopts a hybrid review design that combines a systematic literature review with bibliometric co-word analysis and thematic synthesis. Based on 372 articles indexed in the Web of Science (WoS) Core Collection (2010–2025), the analysis maps the intellectual structure, thematic landscape, and temporal evolution of AI–entrepreneurship research. Four thematic quadrants are identified, reflecting core applications, transversal foundations, isolated specializations, and peripheral themes. The synthesis shows that AI is largely conceptualized as a functional input, while cognitive and behavioral dimensions of entrepreneurial judgment remain marginal. Building on these insights, the article proposes a cognitively informed research agenda to guide future work.

The nonreligious—atheists, agnostics, and nones—are on track to become America’s largest religious group between 2030 and 2040. The group’s rapid growth is largely attributed to widespread disaffiliation from Christian traditions across racial and ethnic identities. However, a significant portion of the population is now 2nd generation nonreligious, meaning that they not only never identified with a faith tradition but were raised in a nonreligious household by nonreligious parents. A significant body of work in psychology shows differences between those who convert away from religious identification and lifelong nonbelievers across intersecting identities. Yet, no work exists examining how this distinction impacts ideology or political beliefs that affect how voters’ identities interact with political outcomes. This study investigates the ideological and political differences between ex-Christian members of the nonreligious community and lifelong nonbelievers across multiple facets of identity, using data from the 2020 Collaborative Multiracial Post-Election Survey (CMPS).

This article explores changes and continuities in the lives and perspectives of Black South Africans at the beginning of the twentieth century, as portrayed in the Setswana-language newspaper Koranta ea Becoana. In studies of African responses to British colonization, scholars have tended to focus on evidence of nascent African nationalism in the English writings of Africans, but Koranta and other vernacular sources indicate that Africans during 1890–1910 were equally concerned with celebrating and preserving their various cultural and political traditions, advocating for a multiethnic liberalism that would not oblige them to choose between becoming either “Black Englishmen” or disenfranchised “Natives.”

The interaction between socioeconomic status, place of residence, and life expectancy remains poorly understood. This study advances this understanding using administrative data from the German Pension Insurance combined with multiple data sources on place characteristics. I provide novel estimates for remaining life expectancy at age 65 by lifetime earnings quintiles and geographic areas (NUTS2), revealing substantial heterogeneity in the link between lifetime earnings and life expectancy across NUTS2 regions in West Germany. Subsequently, I conduct a correlational analysis differentiated by socioeconomic status to investigate which place factors are associated with longevity and examine whether the interaction has changed over time. Strikingly, the correlations between place factors and life expectancy are largely homogeneous in magnitude and direction for individuals at the top and the bottom of the lifetime earnings distribution. Furthermore, I find suggestive evidence that the importance of place for the life expectancy of low-income individuals has decreased over time.

In [24, 26] Guichard and Wienhard introduced the notion of $\Theta $-positivity, a generalization of Lusztig’s total positivity to real Lie groups that are not necessarily split.

Based on this notion, we introduce in this paper $\Theta $-positive representations of surface groups. We prove that $\Theta $-positive representations of closed surface groups are $\Theta $-Anosov. This implies that $\Theta $-positive representations are discrete and faithful and that the set of $\Theta $-positive representations is open in the representation variety.

We further establish important properties on limits of $\Theta $-positive representations, proving that the set of $\Theta $-positive representations is closed in the set of representations containing a $\Theta $-proximal element. This is used in [3] to prove the closedness of the set of $\Theta $-positive representations.

This article examines the evolving dynamics of migration control in the European Union, where traditional state borders are being redefined. As governance shifts to private and local actors, healthcare access increasingly serves as a tool of internal bordering, regulating migrant mobility and social rights within different welfare state models. Focusing on the experiences of free-moving EU migrants in Germany, Sweden, and the UK (an EU member at the time of this study), the research shows how healthcare provision selectively includes or excludes migrants. The findings reveal that these bordering strategies vary by welfare state model: the liberal welfare state model, as seen in the UK, aligns more closely with the EU’s ideal of free mobility, while the social-democratic model, exemplified by Sweden, struggles to accommodate this type of mobility, highlighting significant tensions in the EU’s commitment to universal access.

Ultrafast vortex beams are essential in many scientific and industrial fields owing to their unique spatial and temporal characteristics. We demonstrate a passively mode-locked ytterbium-doped yttrium aluminum garnet (Yb:YAG) thin-disk oscillator that directly generates high-power femtosecond vortex beams with excellent beam quality. Using Kerr-lens mode-locking assisted by a semiconductor saturable absorber mirror, we achieve 594 fs Laguerre–Gaussian vortex pulses with 50 W average power at a 68.5 MHz repetition rate, representing the highest power reported for a femtosecond vortex oscillator. By replacing the planar output coupler with a coated axicon, we further realize stable mode-locking and efficient generation of first-order Bessel vortex beams. This compact and integrated design eliminates external mode converters, enabling robust generation of high-power ultrafast structured light. The demonstrated source provides a promising platform for precision material processing, strong-field vortex dynamics and quantum optical studies.

This study aimed to analyse the patterns, trends, genomic characteristics, and key determinants of dengue virus (DENV) infections and associated deaths in South Asia from 2000 to 2023. We collected data from the World Health Organization dengue surveillance dashboard and the health ministries of respective countries, and publicly available data from eight South Asian (SA) countries. Descriptive measures, data visualization techniques, and time series analysis were used to identify key patterns and trends of DENV. A time-scaled phylogenetic analysis was carried out to explore the genomic epidemiology and evolution of DENV. A generalized linear model (GLM) was fitted to identify climatic, demographic, and socioeconomic factors. Between 2000 and 2023, SA countries showed a sharp increase in dengue cases and deaths, contributing to 6.5% of cases and 11.07% of deaths caused by DENV globally. The total cases in the region are projected to grow by approximately 40%, and total deaths by 61% by 2033. The predominant genotypes were DENV2/II, DENV3/I, and DENV3/III. GLM underscores climatic, demographic, and socioeconomic factors associated with DENV infection and deaths. The findings urge intensified public health measures emphasising the need for comprehensive interventions, including vector control, climate adaptation, and strengthened healthcare systems to de-escalate the situation.