We study the bilateral preference graphs $\mathit{LK}(n, k)$ of La and Kabkab, obtained as follows. Put independent and uniform [0, 1] weights on the edges of the complete graph $K_n$. Then, each edge (i, j) is included in $\mathit{LK}(n,k)$ if it is bilaterally preferred, in the sense that it is among the k edges of lowest weight incident to vertex i, and among the k edges of lowest weight incident to vertex j. We show that $k = \log(n)$ is the connectivity threshold, solving a conjecture of La and Kabkab, and obtaining finer results about the window. We also investigate the asymptotic behavior of the average degree of vertices in $\mathit{LK}(n, k)$ as $n\rightarrow\infty$.

Procolophonidae, a clade of stem reptiles, are hypothesized to be some of the first highly specialized herbivores to evolve following the end-Permian mass extinction event. That hypothesis is largely based on qualitative observations of tooth shape, which are highly subjective and not generalizable. Quantitative studies of reptilian tooth shape have employed relatively sophisticated methods to capture tooth complexity, but these approaches often require expensive equipment and software and are time intensive. In this study, we built a predictive model based on extant lizards to quantitatively predict the diets of procolophonids using simple measures of tooth morphology. We use linear discriminant analysis (LDA) to predict dietary ecology from tooth dimensions and phylogenetic MANOVA to test for significant differences in tooth dimensions for different diet categories. We report two key findings: (1) procolophonids are largely predicted as herbivorous but occupy a different area of the LDA space from extant lizards, and (2) simple metrics return similar results as complex methods, but with less confidence. We hypothesize that Triassic flora posed different mechanical and processing challenges from modern plants, which contributed to the unique tooth morphologies of procolophonids and likely other Triassic taxa.

This study examines continuity and changes across contextual insecurities (intimate partner violence, material hardship) and relational adversities (parenting stress, maternal depression) from infancy to preschool years and explores their long-term influence on young adults’ mental health at age 22. The sample was drawn from the Future of Families and Child Wellbeing Study (N = 4,677; 52.3% male, 21.2% White, 47.77% Black, 27.15% Latinx, 3.88% Other). The multidimensional growth mixture model identified five trajectory classes: Low Adversity, High-Stable Parenting Stress, High-Increasing Material Hardship, High-Decreasing IPV, and Multidimensional Persistent Adversity. Young adults in the Multidimensional Persistent Adversity and High-Decreasing IPV classes reported higher depression and anxiety than those in the Low Adversity or High-Stable Parenting Stress classes. Findings highlight the need for tailored early intervention to alleviate chronic and multidimensional adversities within family systems. It also emphasizes implementing trauma-informed intervention programs to support emerging adults’ mental health and thriving.

This paper assesses the impact of federal grants for research and development (R&D) on state R&D investment in the United States. We find that federal grants for academic R&D do not significantly influence state allocations to academic institutions from 2006 to 2021. By contrast, R&D performed by agencies of the state government is estimated to grow by $0.35 with each additional dollar of federal support. We argue that these divergent results reflect the localized nature of benefits generated from R&D performed by state government agencies compared to university-based research. A computational text analysis of recent federal R&D awards to academic institutions and state agencies corroborates this hypothesis.

Social isolation and loneliness are concerns in gerontology. The impact of the human–animal interaction (HAI) on loneliness for older adults living alone is understudied. This scoping review explored the extent to which HAI is included in studies investigating social connectedness, specifically social isolation and loneliness, and if HAI bolsters healthy aging through increased perceived support. Following the PRISMA-ScR protocol, data from 58 articles were thematically categorized, identifying (a) existing inclusion of HAI; (b) definitions and descriptions of HAI; and (c) the relationships between HAI and loneliness outcomes, in social connectedness research. Studies including HAI (animal companions and animal-assisted interventions) have increased over time; many noting protection against loneliness and few noting health detriments. Older adults overwhelmingly consider interactions with companion animals as meaningful relationships, whether living at home or in care. Substantial knowledge gaps exist concerning the influence of HAI on perceived social connectedness for older adults living alone.

In this article, I examine the history of the concept of herd immunity, beginning with British epidemiologists in the 1920s and ending with the controversy surrounding it during the COVID-19 pandemic. I argue that competing historical and contemporary understandings of herd immunity reveal an underlying tension between observing the effects of infection-acquired herd immunity on the population dynamics of infectious diseases and actively cultivating it through immunisation. Originally offering an explanatory mechanism for the rise and fall of epidemics, the concept soon became entangled with strategies of disease control and technologies for producing immunity, particularly as mass vaccination became more common in the postwar era. This tension between observing herd immunity and cultivating it has produced diverse interpretations ranging from the temporary abatement of an outbreak due to the accumulation of infection-acquired immunity to the principle undergirding disease elimination through mass vaccination. I close by suggesting that the scientific debates and uncertainties regarding the relevance of herd immunity to public health strategies during the COVID-19 pandemic reflect this long-running tension between observing and cultivating immunity in populations.

Diet can affect health directly or by altering the gut microbiota; thus, there are strong interrelationships between the gut immune system, gut microbiota and diet. This study examined the effects of ingesting AIN-93M purified diet (PD) on gut immune function and gut microbiota in DO11·10 mice, in which T cell–dependent and T cell–independent (TI) IgA can be analysed separately. Ingestion of the PD for 2 weeks reduced both T cell–dependent and TI secretory IgA in the faeces compared with non-PD, whereas the diet did not affect T cell–dependent and TI serum IgA. Ingestion of the PD had no effect on systemic immune system splenocyte responses. Ingestion of the PD reduced intestinal tissue expression levels of B-cell activating factor and A proliferation–inducing ligand, cytokines involved in TI-IgA production and polymeric Ig receptor, which transports IgA into the intestinal lumen. Co-abundance group (CAG) analysis of the intestinal microbiota was conducted based on correlations between changes in the abundance of bacterial genera, and the correlations between CAG and IgA were determined. The Allobaculum-dominated CAG expanded following ingestion of the PD, accompanied by an inverse correlation with the decrease in faecal IgA, whereas the Lactobacillus-dominated CAG shrank relative to the Allobaculum-dominated CAG. These results suggest that TI-IgA suppresses the expansion of some intestinal bacteria and that ingestion of the PD induces dysbiosis via impaired IgA secretion into the intestinal lumen.

Head circumference (HC) is a low-cost proxy for early brain development, yet few studies have examined its predictive value for specific neurocognitive outcomes in low- and middle-income countries. This study investigated whether trajectories of HC growth from 1 to 24 months predict executive function and fluid cognitive skills at age 4 in a Kenyan cohort (N = 182). Using latent growth curve modeling, we found that greater HC growth was significantly associated with better EF and fluid cognitive skills, independent of initial HC and sociodemographic factors. These associations were robust across subgroups defined by prenatal exposure to HIV and atypical physical growth (i.e., extreme values for weight-for-length, underweight, or HC). Moreover, the predictive association between early HC and later neurocognition was evident within the first 15 months of life. This study highlights the value of monitoring changes in HC as one aspect of early child health and wellbeing. Infants who do not exhibit normative increases in HC in infancy may benefit from early neurocognitive assessments and/or the receipt of early intervention services.

In January 1852, as searches continued for Sir John Franklin’s missing Arctic expedition, large quantities of preserved (that is, canned) meats supplied to the Royal Navy were found putrid and caused concern that the expedition had received similar meats with fatal consequences. Whilst a Parliamentary enquiry concluded correctly that the expedition had received good-quality meats, it neglected the fact that some 5% of all canned meats were condemned on ships due to damage and corrosion. As the Franklin expedition would be no exception, the study applies recent evidence of the expedition’s victualling schedule to estimate the number of cans condemned by the time at Beechey Island when a decision would be made whether enough remained to sustain the mission. It also estimates the vitamin B1 (thiamine) content of the meat because high temperatures during canning would have degraded or destroyed that vitamin, and vitamin C, both being essential to health. Any reduction in general rations would add to the decline in the quality of the diet. The expedition’s unique circumstances of long entrapment without recourse to hunting to supplement such deficiencies, or to escape, would prove fatal regardless of the good quality of the canned provisions.

The difference between the ice and water pressures, or the effective pressure, influences water flow and sliding at the ice-bed interface. Effective pressure is typically quantified with subglacial hydrology models because direct measurements of the subglacial environment are sparse. Active subglacial lakes provide an opportunity to constrain effective pressures with altimetry because subglacial water-volume changes manifest at the ice-sheet surface as elevation-change anomalies. Here, we develop a method for estimating effective pressures from altimetry data above active subglacial lakes. We synthesise a previous theory of subglacial lake effective pressure with an altimetry-based inverse method that relates elevation-change data to water-volume changes. We apply the method to elevation-change data from NASA’s ICESat-2 satellite altimetry mission over several active lakes in Antarctica. We find that deviations from flotation (zero effective pressure) are typically a negligible fraction of the overburden (e.g., $\sim$10 kPa), although larger deviations can arise when the ice viscosity is large. For example, effective pressures over subglacial lake Byrds10 in East Antarctica locally reached magnitudes on the order of the tensile strength of glacier ice (e.g., over 100 kPa). These effective pressure estimates can constrain subglacial hydrology models in regions with active subglacial lakes and provide new insights into glacier-bed dynamics.

This article analyzes how Poland’s Law and Justice (PiS) weaponized migration anxiety as a populist strategy during the 2023 general elections. Using a comparative qualitative case-study approach (George and Bennett 2005), the article examines how PiS leveraged anti-immigration rhetoric to mobilize voters, deepen social polarization, and legitimize its governance. The study draws comparisons with Hungary’s 2016 referendum on European Union (EU) refugee quotas to explore how populist governments in Central and Eastern Europe (CEE) use fear-based narratives to consolidate power. It also demonstrates how PiS emulated Viktor Orbán’s 2022 strategy of holding a referendum alongside parliamentary elections to retain power. The study finds that PiS framed migration as an existential threat, using the referendum as a tool to divert attention from democratic backsliding. This strategy mirrored Orbán’s use of anti-immigration campaigns to strengthen his electoral support and resist EU pressures. By expanding on the concept of “populist polarizing referendum,” the study contributes to research on populist electoral strategies, institutional manipulation, and the role of migration-related fear in political mobilization. It highlights the broader implications of such tactics for democracy and governance in the CEE region, demonstrating how populist leaders instrumentalize migration crises to sustain electoral dominance.

The article examines current challenges in teaching Vulgar and Late Latin (LVLT) at the University of Helsinki, the institution with the longest tradition of teaching LVLT in Finland. Based on structured interviews with researcher-teachers and doctoral students, as well as the author’s own didactic experience, the study identifies institutional, teaching-related, and learning-related challenges for effective LVLT instruction. The key institutional challenges stem from significant reductions in degree requirements and teaching staff, limiting students’ exposure to LVLT. Teaching-related challenges emphasise the need for improved alignment between teaching methods and intended learning outcomes, while learning-related challenges concern declining Latin proficiency and academic skills among graduate students. Despite the difficulties, interdisciplinary and student-centred approaches have proven effective in LVLT teaching. The study highlights the importance of the linguistic, philological, and historical contextualisation of LVLT texts, especially original documents, as well as the necessity of independent study to supplement formal instruction.

We introduce Displayed Type Theory (dTT), a multi-modal homotopy type theory with discrete and simplicial modes. In the intended semantics, the discrete mode is interpreted by a model for an arbitrary $\infty$-topos, while the simplicial mode is interpreted by Reedy fibrant augmented semi-simplicial diagrams in that model. This simplicial structure is represented inside the theory by a primitive notion of display or dependency, guarded by modalities, yielding a partially-internal form of unary parametricity. Using the display primitive, we then give a coinductive definition, at the simplicial mode, of a type of semi-simplicial types. Roughly speaking, a semi-simplicial type consists of a type together with, for each , a displayed semi-simplicial type over . This mimics how simplices can be generated geometrically through repeated cones, and is made possible by the display primitive at the simplicial mode. The discrete part of then yields the usual infinite indexed definition of semi-simplicial types, both semantically and syntactically. Thus, dTT enables working with semi-simplicial types in full semantic generality.