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A potentially powerful argument for police abolition appeals to root causes of crime. The root causes of crime are (e.g.) poverty and inequality caused by capitalism. By targeting crime at the roots, we can render the police obsolete and abolish them. I argue here that the root cause argument fails. Despite the suggestive metaphor, the fundamental causes of crime are deep and valuable, or in other words not uproot-able. They are essential to us, or we have good reason not to uproot them. To show this, I develop some simple models or recipes for crime inspired by Thomas Hobbes’s model of conflict in the state of nature and by contemporary theories of crime. The models suggest that at best we can manage these causes, and in turn the resulting crime. There is, however, no hope of fundamental reforms that do away with the need for social monitoring and sanctioning, or policing.
The Fremouw Formation of the Central Transantarctic Mountains preserves the southernmost record of Early to Middle Triassic terrestrial ecosystems that developed in the aftermath of the end-Permian mass extinction. Although the well-studied vertebrate fossil assemblage in the lower member of the Fremouw Formation provides a detailed snapshot of subpolar ecosystems immediately following the end-Permian mass extinction, the nature of how long these earliest Triassic communities persisted at the southern extremes of Pangaea is virtually unknown. Importantly, the timing and extent of the major faunal turnover between the lower and upper members of the Fremouw Formation have been obscured by the paucity of fossil specimens historically recovered from the middle member. Here, we describe the first vertebrate assemblage from the middle member of the Fremouw Formation, including occurrences of procolophonids (including Procolophon trigoniceps) and archosauromorphs (including Prolacerta broomi), as well as infilled vertebrate burrow casts referrable to the ichnogenus Reniformichnus. We also summarize and expand on lithostratigraphic shifts between the lower, middle and upper members of the Fremouw Formation. Although the sample size of vertebrate body fossils is small compared to the lower and upper members of the Fremouw Formation, we discuss the evidence for a taphonomic shift between the lower and middle members of the Fremouw Formation that favours preservation of smaller-bodied taxa and individuals in the latter. Together, these preliminary data add crucial context to the persistence of subpolar vertebrate communities in the earliest Mesozoic.
This article examines the creation in the early 1710s of a library at the Dublin military hospital for old soldiers known as the Royal Hospital Kilmainham (RHK). It shows that the library was created after an appeal by the master of the RHK, describes the books in the collection, and examines the gifts from a significant pool of seventy-one high-status men and women across Ireland from which the collection was constructed. It considers why the library was created at this time and its use during the two centuries that would elapse before the final closure of the hospital in the wake of Irish independence. This article is the first ever examination of the physical books and makes significant use of the minute books of the board of the RHK and its sub-committees, manuscript records that historians have tended to assume were lost or destroyed after the evacuation of British troops from the twenty-six counties.
In Mandarin Chinese, numeral classifiers form a grammatical category that is syntactically obligatory when a noun is modified by a numeral or a demonstrative. The appropriate choice of a classifier is associated with the semantic properties of its corresponding noun and is context dependent. Experience with language is needed to learn these patterns, but little is known about how classifiers are structured in children’s language environments. We compared the frequency and distribution of classifier phrases in four corpora: child-directed speech, children’s television shows, children’s books, and adult-directed speech. Classifier usage in children’s books was more diverse than in both child-directed and adult speech. Books contained more specific classifiers that co-occurred with a higher proportion of unique nouns, whereas everyday speech relied on more generic classifiers. Books therefore provide access to classifier–noun combinations that are rare in speech. Implications for language development and language processing are discussed.
For survivors of domestic violence, public safety net benefits, including housing, food, and cash assistance, are often critical resources in establishing independent, safe lives. Using a reflexive thematic analysis of qualitative data from a local housing programme collected from August 2023 to January 2024, this study explores the intersection of trauma-informed care (TIC) and administrative burden within public safety net programmes for survivors of domestic violence. Findings demonstrate that barriers to accessing and participating in the public safety net, including learning, compliance, and psychological costs, hinder survivors’ recovery and stability, and clash with TIC principles. Conversely, TIC-aligned practices at the local housing programme, including strong case management, peer support, and flexible programming, mitigate these challenges. Research and policy implications related to how the integration of TIC principles can ease administrative burden in the public safety net are discussed.
The effectiveness of ultrasonic absorptive coatings (UACs) in achieving delay in turbulent transition on a hypersonic boundary layer over a 3$^\circ$ half-angle cone was investigated under flight-like free-stream disturbance conditions. Tests were conducted at the Boeing/AFOSR Mach 6 Quiet Tunnel at Purdue University for four free-stream Reynolds numbers ranging from $9.0\times 10^6\,$ to $14.3 \times 10^6\,\rm m^{-1}$. Silicon-carbide-coated carbon foams with pore densities of 60, 100 and 200 pores per inch (X0.6, X1, X2) were fabricated as three frustums to vary streamwise location and porous section length. Solid–porous configurations were constructed to analyse the effect of foam length and position. Axisymmetric direct numerical simulations (DNS) and linear-stability theory (LST) analysis were performed to support the experimental findings, modelling the porous foams as time-domain impedance boundary conditions. The UACs influence boundary-layer transition primarily by modifying wall impedance and providing acoustic absorption to weaken second-mode resonance. All porous foams exhibited this behaviour, with the X1 foam achieving the most effective transition delay, strongly dependent on placement. Downstream positioning (59.2–74.3 cm) produced a 13.6 % relative delay, whereas upstream extension (44.1–74.3 cm) led to initial stabilisation followed by a downstream overshoot in second-mode amplitude. The X0.6 and X2 foams showed similar trends. Both LST and DNS predict attenuation of the high-frequency second-mode band and delayed amplification of adjacent low-frequency modes, explaining the overshoot and placement sensitivity. A detailed comparison of $N$-factors shows excellent agreement among experiment, LST and DNS, reinforcing the validity of the combined methodology and the consistency of the identified instability mechanisms.
In this article, we investigate the p-rank stratification of the moduli space of curves of genus g that admit a double cover to a fixed elliptic curve E in characteristic $p>2$. We show that the closed p-rank strata of this moduli space are equidimensional of the expected dimension. We also show the existence of a smooth double cover of E of all the possible values of the p-rank on this moduli space.
Stigma towards individuals with mental, neurodevelopmental, and neurological conditions is associated with problems accessing healthcare (e.g. schizophrenia) and gaining employment (e.g. epilepsy). In Ireland, stigma differs towards different conditions, with previous research showing that schizophrenia is viewed more negatively than bipolar disorder or autism. More detailed understanding of stigma in Ireland requires replication of these findings in a larger, population-representative sample.
Methods:
1,232 participants around Ireland completed a survey examining knowledge, attitudes, and behaviours towards schizophrenia, bipolar disorder, autism, and epilepsy as a comparator. Knowledge, attitudes, and behaviours towards these groups were compared using cumulative link mixed models.
Results:
Perception of others’ stigma and participants’ own self-reported behaviour were more negative towards schizophrenia compared to any of the other groups. Familiarity with mental health issues was associated with more positive self-reported behaviour towards those with schizophrenia. This improvement in behaviour was mediated by reduced perception of danger of this group. In contrast, greater mental health knowledge had no such impact on behaviour. Bipolar disorder was the second-most negatively perceived condition, followed by autism and epilepsy.
Conclusions:
These findings support our recent pilot study and provide further evidence that stigma differs towards different conditions in Ireland, with Irish people perceiving more negative societal attitudes, and self-reporting more negative behaviour, towards schizophrenia. The finding that familiarity with schizophrenia predicted more positive behaviour and that this was mediated by reduced perception of danger suggests targets for future anti-stigma interventions.
Postpartum depressive symptoms can vary substantially and probably reflect distinct subtypes. Understanding specific symptom patterns may help identify those at risk for later psychiatric care.
Aims
We aimed to identify subtypes of postpartum depressive symptoms and examine their associations with subsequent psychiatric care.
Method
We conducted a cohort study using Danish nationwide health registers linked to population-based Edinburgh Postnatal Depression Scale (EPDS) scores from 2015 to 2021. Latent class analysis of EPDS responses identified subtypes among women with clinically relevant symptoms (EPDS ≥11), using a maternal background population as a reference group (EPDS <11). The outcome was psychiatric hospital contacts or redeemed psychotropic prescriptions within 1 year postpartum. We estimated standardised cumulative incidence rates and risk ratios using spline-based, time-to-event models.
Results
Among 162 079 women, 11 847 (7.3%) had clinically relevant symptoms (EPDS ≥11). Five subtypes were identified: Mild-depressive (23%), Moderate-anxious (17%), Moderate-depressive (18%), Moderate-overwhelmed (31%) and Severe-depressive (11%). At 1 year, the standardised cumulative incidence of psychiatric care was 69.6 (95% CI, 61.4–79.0) per 1000 persons in the Mild-depressive subtype. Compared with this group, the adjusted risk ratio was 0.33 (95% CI, 0.28–0.38) in the background maternal population, between 1.11 (95% CI, 0.93–1.32) and 1.25 (95% CI, 1.06–1.48) across moderate subtypes and 2.37 (95% CI, 1.99–2.82) for the Severe-depressive subtype.
Conclusions
Distinct subtypes of postpartum depressive symptoms were associated with varying risks of subsequent psychiatric care, depending on both symptom severity and symptom type. These findings underscore the importance of systematic screening and tailored follow-up, even for women with mild to moderate symptoms.
This paper examines how structural reforms can boost long-term growth and welfare in the U.S. economy. Using a model calibrated to historical data, we compare three reforms: reducing regulatory costs, increasing public investment, and eliminating rent-seeking. Our results show that all three improve welfare, but through different channels. Cutting regulatory burdens delivers quick efficiency gains with minimal adjustment costs. Raising public investment has the most substantial impact on growth and welfare, though it requires short-term trade-offs. Eliminating rent-seeking improves efficiency and leisure, but its growth effect is smaller. Overall, public investment emerges as the most powerful lever for growth, while regulatory simplification and institutional reform provide complementary benefits by reducing distortions, improving resource allocation, and reinforcing the efficiency gains from fiscal policy.
This article presents a case of superadditive ganging-up cumulativity in the metrical phonology of Bosnian/Croatian/Montenegrin/Serbian (BCMS). BCMS individually permits monomoraic feet and feet with a toneless head mora, but prohibits toneless monomoraic feet. Across BCMS dialects, several prosodic processes conspire against this doubly marked structure. Because of the superadditive character of this interaction, both Optimality Theory and, importantly, Harmonic Grammar require local constraint conjunction to capture the ban on toneless monomoraic feet in BCMS. This demonstration constitutes evidence for conjoined constraints in weighted constraint grammar. The study contributes to the typology of cumulativity effects by documenting superadditive ganging up in a categorical prosodic pattern, whereas virtually all previously reported cases of superadditivity have been observed in variable phonological patterns.
We investigate trace and observability inequalities for Laplace eigenfunctions on the d-dimensional torus $\mathbb {T}^d$, with respect to arbitrary Borel measures $\mu $. Specifically, we characterize the measures $\mu $ for which the inequalities
hold uniformly for all eigenfunctions u of the Laplacian. Sufficient conditions are derived based on the integrability and regularity of $\mu $, while necessary conditions are formulated in terms of the dimension of the support of the measure. These results generalize classical theorems of Zygmund and Bourgain–Rudnick to higher dimensions. Applications include results in the spirit of Cantor–Lebesgue theorems, constraints on quantum limits, and control theory for the Schrödinger equation. Our approach combines several tools: the cluster structure of lattice points on spheres; decoupling estimates; and the construction of eigenfunctions exhibiting strong concentration or vanishing behavior, tailored respectively to the trace and observability inequalities.
Large language models (LLMs) are increasingly explored for healthcare-associated infection (HAI) surveillance, but their reliability in applying formal National Healthcare Safety Network (NHSN) definitions is not well characterized. This study evaluates GPT-5.1 Thinking’s accuracy and rationales in classifying NHSN-defined infections.
Methods:
Seventy synthesized case vignettes containing complete, organized clinical data representing five NHSN infection types, including complex edge cases, were assessed using 2025 NHSN surveillance definitions. GPT-5.1 Thinking classified cases under three prompting strategies: standard, structured, and constrained. Quantitative accuracy metrics and qualitative inductive content analysis of rationales and failure modes were performed.
Results:
Overall accuracy across 210 classifications improved from 78.6% (standard prompt) to 88.6% (structured) and 95.7% (constrained). Performance was highest for infections with clear anatomical or radiographic criteria (surgical site infections [SSI], ventilator-associated pneumonia [VAP]) and lowest for infections involving complex exclusion rules (central line-associated bloodstream infection [CLABSI], Clostridioides difficile infection [CDI]). Constrained prompting enhanced adherence to NHSN rules but did not eliminate errors in hierarchical exclusions. Content analysis identified three recurrent failure categories: prioritization of clinical plausibility over surveillance logic, failure to apply quantitative and temporal thresholds, and errors in hierarchical source attribution.
Conclusion:
GPT-5.1 Thinking shows potential to support infection surveillance under strict constraints but exhibits systematic limitations, including overreliance on clinical intuition and difficulty with complex exclusion pathways. Currently, LLMs are unsuitable for autonomous NHSN classification but may serve as supervised decision-support tools with robust human oversight. Further development is needed to enhance LLMs’ ability to synthesize surveillance definitions and complex situational characteristics critical for effective HAI surveillance, though fully autonomous deployment would require further validation. These findings are based on synthetic data that may differ from real-world clinical data in ways likely to overestimate the accuracy of these tools.
The goal of this paper is to study individual variation in participants’ adherence to conflicting moral views. To do this, we elicit participants’ reflective attitudes in an argumentative task and introduce a new Conflict model of moral decision-making. This Conflict model builds on the widely used CNI model of moral judgments (Gawronski et al. [2017, Journal of Personality and Social Psychology, 113, 343–376]) but improves it in several respects. First, we follow Skovgaard-Olsen and Klauer (2024, Personality and Social Psychology Bulletin, 50(9), 1348–1367) in extending the model to investigate invariance violations of the models’ parameters. Second, we model cases in which participants are conflicted between utilitarian and deontological response tendencies. In Experiment 1, we employ an argumentative paradigm to elicit commitments for moral views from participants to estimate latent classes in participants’ moral views. We then measure a range of egoistic and altruistic covariates used in Kahane et al. (2015, Cognition, 134, 193–209) and Conway et al. (2018, Cognition, 179, 241–265) to investigate whether participants’ acceptance of instrumental harm is associated with a genuine concern for the greater good or whether it is rather driven by antisocial character traits (Bartels and Pizarro [2011, Cognition, 121, 154–161]). Next, we report two validation studies of our new Conflict model. In a preregistered experiment, the discriminant validity of the conflict detection/resolution path of the Conflict model and the construct validity of its conflict parameter are tested. Finally, in a second validation study, we contrast response formats of dilemma judgments and find evidence in favor of using a format in which participants can opt out of difficult moral dilemmas when they feel conflicted, over the traditional format in moral psychology that lacks this possibility. We show that the CNI model is challenged by the finding of asymmetries in experienced conflict across conditions.
Anatomy has always been a complex subject to teach and learn. Historically, anatomy has been taught via cadaveric dissection, a modality that has declined in recent years due to a shortage of body donations and a pedagogical shift in using virtual reality and technological tools. Today, the teaching of anatomy in medical schools worldwide incorporates the medical humanities. While theoretical knowledge of anatomy is certainly necessary in the healthcare setting, recentering the focus of healthcare from mechanistic models of the body to its transposed context in literary forms such as poetry offer an alternative way of viewing the body, from a mechanistic model to a holistic one that unites the body’s biology with a patient’s selfhood. Through an analysis of two ekphrastic poems about Dr. Nicolaes Tulp’s famous anatomy lessons by contemporary American poet Linda Bierds, I argue that the body (cadaver) that has been deconstructed through anatomical dissection can be reconstructed in poetry via a “poetic dissection.” As a case study, Bierds’s poems demonstrate how the sensory experience of anatomical dissection can reframe dissection as a poetic tool, enhancing the ways in which anatomy, and by extension medical humanities, are taught in medical schools.
Natural convection within a heated, inclined slot with wavy walls is investigated. The coupling between the heating and topography patterns determines the properties of the flow and the effectiveness of this interaction can vary significantly as the slot inclination is adjusted. The analysis is two-dimensional and is likely to be a useful model for the flow in a slot of large cross-stream aspect ratio. Typically, the flow topology consists of a combination of rolls and stream tubes that carry the fluid along the conduit. It is shown that a judicious choice of inclination angle and careful positioning of the grooves relative to the temperature pattern can yield a flow rate greater than that achievable within a smooth slot. There is an optimal inclination and phase difference between the groove and heating patterns for which the flow rate is the greatest. The most effective inclination angle is a function of the wavelength and amplitude of the grooves, the heating intensity and the fluid Prandtl number.
Praat AudioTools is an open-source library of over 300 scripts that transforms the phonetic analysis software Praat (Boersma and Weenink) into an offline, object-centric laboratory for electroacoustic composition. While Praat is the standard tool for linguistic analysis, its potential for musical creation has remained largely untapped due to its interface design. We propose a workflow in which phonetic analysis objects – specifically PitchTiers (frequency curves), FormantGrids (resonance tracks) and TextGrids (temporal segmentation) – function as editable musical scores. Unlike real-time performance environments (e.g., Max/MSP, SuperCollider), which prioritise low-latency interaction, this toolkit emphasises ‘compositional deep time’, embedding analysis within an iterative edit–render–listen loop. Small modifications to analysis data produce structural consequences in timbre, gesture and form, enabling a research-creation practice rooted in the acousmatic tradition and spectromorphological thinking. By treating phonetic measurement as compositional material, AudioTools bridges phonetics and poetics. We contextualise this framework within the lineage of speech synthesis in electroacoustic music and demonstrate, through case studies, how it enables compositional strategies grounded in analysis as composition. The toolkit integrates neural network processing while maintaining interpretability, positioning it critically against black-box neural synthesis and arguing for transparent, parametric control in research-creation practice.
While surfactants are known to affect fluid–fluid interfaces, their impact on solid–liquid interfaces is an open problem. Here, we show that surfactants carried by a spreading nonpolar droplet can dynamically alter the solid–liquid interfacial energy, leading to a new spreading regime beyond the classical Tanner’s law and known Marangoni regimes. We develop a theoretical framework that combines the new spreading mechanism, governed by the solid–liquid interfacial energy gradient, together with capillarity. Experiments across twelve distinct combinations of nonpolar solvents, surfactants, and substrates confirm our theoretical predictions for the transition from Tanner’s law to the newly uncovered spreading regime. Our findings provide predictive control for applications in coatings, printing, microfluidics and surface engineering.
How does industrial decline influence politics? I propose three mechanisms linking industrial decline to voting. First, if unemployment soars as a consequence of a plant closure, this will result in local communities being economically deprived, which leads to lower support for the incumbent. Second, blame attribution should also play an important role since incumbents can be blamed for their handling of plant closures. Third, I argue that if people are compensated, this anti-incumbent effect should be reduced. I leverage the case of the closing of Lindø Steel Shipyard in Denmark to test in a quasi-experimental setting how a plant closure is linked to voting. Leveraging a difference-in-differences (DiD) design with national election data at the municipality level from 2001–2019, I first find that the closing of the shipyard reduced votes for the right-wing incumbent government. Second, I find that the closures increased unemployment in the short to medium term, and unemployment is negatively correlated with votes for the incumbent. Third, relying on survey data and interview data, I showcase that the government was blamed for its handling of the closure and the EU was credited for its support. Fourth, leveraging an event study design, I find that the political effects are not persistent. In the election, after receiving the compensation, the effects become insignificant, which at least suggests that the compensation could have been effective.