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The generation and propagation of acoustic-gravity–Scholte wave fields produced by different types of nonlinear interactions between ocean surface waves and shallow, non-uniform depth contours of an elastic seafloor are investigated. Specifically, nonlinear interactions between surface waves and the seafloor, surfacewaves themselves and the seafloor, and acoustic-gravity-waves and the seafloor are shown to produce resonantly strong bottom pressures. Whereas the interaction between shoreward-propagating surface waves and seafloor depth contours (and the resulting seafloor waves and microseisms) has been discussed in the literature, not much is known about the compression wave–seafloor wave groups forming an important component of the overall energy transfer process in shallow water. Forcing due to the different wave interactions involving the seafloor depth contours and the dispersion relations for the coupled ocean–seafloor system are derived, providing estimates of the energy transfer that results at resonance when the interaction produces a wavenumber–frequency combination that lies on one of the dispersion surfaces for the two-media system. Wavenumber spectra and their temporal evolution are found analytically for stationary random surface-wave fields, and the acoustic-gravity wave potentials, seafloor pressure amplitudes, seafloor power densities and Scholte wave amplitudes are computed, and their sensitivity to critical parameters is estimated. The nonlinear interactions derived here may account for some of the 200 % increase of low-frequency ($0.01\leqslant f\leqslant 0.03$ Hz) spectral densities of bottom pressure observed between 25 and 8 m water depths in the Atlantic Ocean at a site off Duck, NC. Further, subject to experimental validation, the power densities estimated here could contribute energy for sensing operations.
Legal jurisprudence is widely debated but rarely measured. We present the first comprehensive measure of jurisprudence in U.S. Supreme Court opinions from 1870 to 2024. Building on qualitative studies of legal reasoning, we classify court opinions into two contrasting types: “formal” reasoning and anti-formal or “grand” reasoning. The foundation of this measurement dataset is a smaller, hand-annotated dataset created by a team of domain experts. Using this annotated dataset, we fine-tune and evaluate a foundational large language model, which is then employed to predict legal reasoning across all opinions in the full dataset. We demonstrate the potential of this new measure for applications in empirical research, enabling analyses of shifts in jurisprudence over time, the reasoning styles of individual justices, and the relationship between legal reasoning and other judicial features, such as ideology. To support further research, we release the annotated dataset, the fine-tuned model, and the final measures, offering a resource for both studying legal reasoning and judicial behavior and evaluating language models in the legal domain.
With alcohol use disorder rising in England, evaluating the impact of interventions used in services is important. This evaluation was conducted in a third sector drug and alcohol service within South England. It aimed to explore the association of a structured cognitive behaviour therapy (CBT) group and engagement for service users in early recovery from alcohol use disorder, comparing outcomes with a previously unstructured psychosocial group. A mixed-methods approach compared the groups. Both groups lasted 12 sessions. Self-reported alcohol consumption, psychological health, physical health, and quality of life were measured using the Treatment Outcomes Profile (TOPs; Marsden et al., 2008). Quantitative data were analysed from 47 service users in the unstructured group and 43 in the structured CBT group. Qualitative analysis explored four service users’ feedback from the structured CBT group through interviews, using thematic analysis. Significantly more participants completed the structured CBT group (93.02% vs 74.47%). Structured group participants, on average, attended 50.97% of sessions, compared with 25.53% in the unstructured group. Mixed-model ANOVAs (repeated measures and between subjects) showed an improvement in psychological health, quality of life, and physical health regardless of the intervention type. Both groups also reduced alcohol consumption. Qualitative analysis identified two emerging themes, accessibility and a sense of belonging, alongside several subthemes. While both groups improved treatment outcomes, findings suggest a structured CBT group may be associated with more engagement and facilitate greater retention in treatment.
Key learning aims
(1) To understand how engagement and treatment outcomes differ between a structured CBT group and an unstructured psychosocial group in the treatment of alcohol use disorder.
(2) To identify potential mechanisms in a structured group which may influence engagement and treatment outcomes in the treatment of alcohol use disorder.
(3) To reflect on differing ways to measure effectiveness of a group in community drug and alcohol services.
This paper investigates Bentham’s declaration in an unpublished manuscript of the first chapter of Introduction to the Principles of Morals and Legislation (1789) that he “had” the “Principle of Utility” from, among other sources, the ancient Greek philosophers Epicurus and Carneades. The paper confirms Epicurus’ influence on Bentham’s development of the “Principle of Utility” by identifying deep connections and similarities in the philosophical doctrines expressed by Epicurus with Bentham’s views relating to three key issues: the goal in life and what has value for human beings; how human beings make choices to act; and what actions are right or just, and what is justice. The paper also shows that Bentham developed the “Principle of Utility” to satisfy Carneades’ three requirements for any ethical theory: a criterion for choices in every action, what constitutes a right action; grounded on a consideration external to the theory; and adapted to a motivating factor originally present in human nature.
Mental–physical multimorbidity is an emerging prevalent global health challenge. This study aims to examine reciprocal relationships between depressive symptoms and multimorbidity, with the mediation role of functional dependence in activities of daily living.
Methods
Data were derived from the China Health and Retirement Longitudinal Study, which included 11,572 Chinese residents aged 45 years and older, surveyed in 2011, 2013, 2015 and 2018. Depressive symptoms were assessed using the Chinese version of the Center for Epidemiologic Studies Depression Scale (CESD-10) at baseline and each follow-up survey. Multimorbidity was operationalized as the condition count and the patterns identified via exploratory factor analysis. Four-wave cross-lagged panel models (CLPM) with bootstrapping were employed to estimate the path coefficients and the mediation effect of functional dependence.
Results
Multimorbidity (cardiometabolic and respiratory-degenerative) and depressive symptoms exhibited bi-directional associations. Multimorbidity had a stronger impact on later depression (β: 0.042–0.130) than depression on multimorbidity (β: 0.005–0.064). Associations were stronger for respiratory-degenerative (β: 0.027–0.104) than cardiometabolic diseases (β: 0.005–0.065). Functional dependence partially mediated these links, with higher mediation for cardiometabolic (9–21%) than respiratory-degenerative diseases (4-6%). Additionally, some sex- and age-specific differences were identified in these dynamic associations.
Conclusions
The study revealed bi-directional links between multimorbidity and depressive symptoms among Chinese adults. Functional dependence was a significant pathway in the cycle of multimorbidity and depressive symptoms, especially for cardiometabolic diseases. These insights suggest that interventions aimed at preventing functional dependence may be beneficial in mitigating the risk of coexisting mental and physical disorders.
We introduce Feldman–Katok convergence for invariant measures of a topological dynamical system. This can be seen as a counterpart to the convergence with respect to the $\bar {f}$-metric for finite-state stationary processes (shift-invariant measures on a symbolic space). Feldman–Katok convergence is based on a dynamically defined Feldman–Katok pseudometric. This convergence is stronger than weak$^*$ convergence. We prove that Feldman–Katok convergence preserves ergodicity and makes the Kolmogorov–Sinai entropy lower semicontinuous, thereby preserving zero entropy. We apply our findings to non-hyperbolic (having at least one vanishing Lyapunov exponent) ergodic measures constructed using the GIKN method as axiomatized by Bonatti, Díaz and Gorodetski [Nonlinearity, 23 (2010), 687–705]. The GIKN method, originally introduced by Gorodetski, Ilyashenko, Kleptsyn and Nalsky [Functional Analysis and its Applications, 39 (2005), 21–30], has been widely adapted to produce non-hyperbolic ergodic measures for diffeomorphisms of compact manifolds. We prove that an ergodic measure satisfying the conditions provided by the axiomatized GIKN method is the Feldman–Katok limit of a sequence of periodic measures, which implies that it is either a periodic measure or a loosely Kronecker measure (a measure Kakutani equivalent to an aperiodic ergodic rotation on a compact group) and has zero entropy. This classifies all these measures up to Kakutani equivalence and confirms that geometric constructions of non-hyperbolic measures via periodic approximations based on the axiomatized GIKN method presented in Bonatti et al. [op. cit.] systematically produce zero-entropy systems.
Individuals with co-occurring mental health and substance use disorders present considerations often requiring interventions from multiple services. This paper describes the development and implementation of an integrated service pathway, emphasising collaborative processes and inter-professional relationships. The model, implemented in partnership between an NHS Talking Therapies service and a local substance use service, aimed to improve care coordination and service delivery for adults with co-occurring disorders. This paper provides a description of the pathway, outlining the challenges that prompted its development, the processes involved in its establishment, the roles and responsibilities of professionals, and the mechanisms for ensuring continuity of care. A small service evaluation, employing a mixed-methods approach, examined the outcomes of nine patients who engaged with the one-to-one integrated pathway within the first 10 months of its inception. The implementation of the model resulted in enhanced inter-service collaboration, with improved communication protocols and a shared understanding of service user needs. Clinicians reported that the reciprocal consultative approach facilitated knowledge exchange and skill development across teams. Initial outcome data from a small sample suggests positive trends in patient wellbeing and substance use, with seven of nine patients discharged in recovery. This model, characterised by a reciprocal consultation approach and an emphasis on inter-professional collaboration, demonstrates potential to improve the care for co-occurring mental health and substance use disorders. While the patient outcome data are limited by the small sample size, the findings offer insights for service re-design and future research.
Key learning aims
(1) To gain a clearer understanding of the development and implementation of an integrated care model for co-occurring mental health and substance use disorders.
(2) To recognise the impact of collaborative approaches on the professionals involved, including influences in communication protocols, knowledge exchange, and skill development across teams.
(3) To learn about the initial outcomes of the integrated care pathway and to recognise the potential for improving care in patients with co-occurring disorders.
In a previous work, Bettin, Koukoulopoulos, and Sanna prove that if two sets of natural numbers A and B have natural density 1, then their product set $A \cdot B \;:\!=\; \{ab \;:\; a \in A, b \in B\}$ also has natural density 1. They also provide an effective rate and pose the question of determining the optimal rate. We make progress on this question by constructing a set A of density 1 such that $A\cdot A$ has a “large” complement.
The modern business corporation emerged from the medieval and chartered corporations. The medieval tradition of legal pluralism was replaced by two ‘pure’ disciplines – Law and Economics – that left no conceptual space to understand its hybrid nature, decentralizing law-making and centralizing market transactions, or to frame its person-thing duality. Under intellectual monopoly capitalism, this hybrid nature has degenerated: corporations have monopolized knowledge, outsourced production to dependent peripheral firms, and become deeply intertwined with financial markets and geopolitical rivalries – lending substance to notions of techno-feudalism, while marking a profound break with the medieval tradition of open science that first made competitive markets possible.
Despite his support for the creation of the West Indies Federation in the late 1950s, the anticolonial activist and political thinker CLR James expressed severe reservations regarding the process that led to its creation. While his criticisms are brief, this paper reconstructs a Jamesian critique of the plebiscite as a means of anticolonial self-determination. Situating his discussion of the plebiscite in the broader arc of his political thought from the 1930s to the 1960s, I identify three lines of critique that revolve around broad questions of mass leadership and the reproduction of colonial domination. First, drawing on his discussion of the tragic flaw of Toussaint L’Ouverture’s leadership during the Haitian Revolution, James argued that the plebiscite enabled popular leaders to skirt their responsibility to effectively communicate with the revolutionary masses. Second, James feared that the plebiscite fixed the principle of territorial sovereignty in place in advance of the process of decolonization by tethering popular authority to clearly bound territorial constituencies. Third, by giving the people a simple choice between two options, James worried that the plebiscite would undermine radical processes of democratic self-constitution. Against conventional critiques of the plebiscite as a means of consolidating dictatorial power under the guise of vox populi, James reveals how ostensibly popular political forms, such as the plebiscite, undercut the enactment of popular agency in colonial contexts.
Vaccine hesitant sentiments are reported among some ethnic and racial minority communities. This study argues that their vaccine hesitancy stems from distrust in the government that marginalizes them. Building on existing studies on ethnicity, health, and political trust, this study offers an original contribution by using causal mediation analyses to provide suggestive evidence of a mediating relationship between ethnic marginalization and vaccination intention and by focusing on African countries. We conduct causal mediation analyses of nationally representative survey data across 14 African countries and find that trust in government mediates the effect of perceived ethnic marginalization on COVID-19 vaccination intention. Perceived marginalization decreases government trust and thus reduces vaccination intention. The findings have implications beyond the pandemic era. A path dependent consequence of marginalization during non-crisis times hinders collective actions during crisis times. Governments must put efforts into combating ethnic marginalization during non-crisis times.
Longitudinal studies on population representative samples offer unique insights. The Estonian Children Personality Behaviour and Health Study (ECPBHS; EstChild) was launched in 1998 on two birth cohort samples at age 9 or 15 with an exceptional participation rate, has been monitored at ages 15, 18, 25 and 33, and also recruited parents of the target subjects. This multidisciplinary investigation has been focused on behavioural neuroscience, illuminating findings on what could be discerned from biomarkers, candidate genes, gene × environment interactions, and epigenetic markers in representative samples, and in birth cohorts living through societal transformation. ECPBHS analyzed how biomarkers and lifestyle are associated with real-life behaviours and developmental trajectories, phenotypes such as neuroticism, bulimia, aggressiveness or attention deficit, and outcomes from incidence of psychiatric disorders to the obtaining of university education. Novel evidence has been observed on clustering of fears and the inner structure of impulsivity and reward sensitivity, together with clues how these may have co-emerged with metabolic types. New insights have been provided to understand the classic biomarkers, cholesterol and platelet monoamine oxidase activity, as well as several functional gene variants. Hypotheses how to synthetize molecular genetics and sociology, how sex or gender matters in the light of gene×environment interactions and how family and parental roles shape the behaviour of offspring have been put forward. The ECPBHS has offered clues on why in biological psychiatry many replication attempts are predestined to fail, and how to learn from such failures.
This article reconstructs the history of the ‘Centro per gli Studi sullo Sviluppo Economico’ created through a collaboration between the SVIMEZ (Associazione per lo sviluppo dell’industria nel Mezzogiorno) and the Ford Foundation and active between 1958 and 1969. Through the analysis of unpublished documentation from the SVIMEZ archives, the article shows how the ‘Italian laboratory’ of Southern Italy became an international case study in the context of the Cold War and the dawn of development economics. The Centre played a crucial role in training economists and officials and in disseminating the Italian experience at the Mediterranean and global levels, combining international theoretical approaches with the empirical legacy of policies for the ‘Mezzogiorno’. The paper highlights how this experience represented a meeting point between American philanthropy, Western modernisation and bottom-up development practices, contributing to the construction of transnational networks and the spread of development culture in the era of decolonisation.
This paper analyses a dispute that flared up in the 1790s about whether Kant’s moral theory leaves room for the possibility of imputable wrongdoing. Contra Paul Guyer’s reading, I argue this was not merely a matter of mutual misunderstanding but reflected its participants’ varying perceptions of an arguably genuine dilemma for Kantian ethics: that what he needs to say to explain how imputable action contrary to duty is possible within his framework is prima facie incompatible with what he needs to say to establish that the moral law is categorically binding. In addition to presenting my interpretation of the controversy, I offer a suggestion as to how Kant might be able to escape the dilemma and further suggest we have good reason to think that Kant himself was both aware of the danger and endorsed the proffered solution.
Artificial intelligence (AI)-based clinical decision support tools are increasingly developed for diagnostic stewardship, yet their clinical adoption remains limited. A barrier to implementation is concern about potential patient-level harm, particularly when algorithms recommend withholding diagnostic tests that would otherwise be standard practice. Existing evaluation frameworks emphasize aggregate performance metrics but do not provide structured methods to assess clinical consequences of algorithmic errors prior to implementation.
Objective:
Developing a protocol for retrospective, patient-level evaluation of potential harms associated with false-negative predictions of an AI-tool for blood culture stewardship in the emergency department.
Methods:
We developed a protocol to identify and evaluate cases at potential risk of harm following retrospective application of an AI-model predicting blood culture outcomes. False-negative cases, defined as positive blood cultures with a model-predicted probability below 5%, are selected after exclusion of contaminants and clinical scenarios in which the algorithm would not be applied. Multidisciplinary experts perform case-by-case evaluation using a questionnaire covering three domains: antibiotic management, diagnostic procedures, and patient outcomes, supplemented by overall harm and cost assessments. Inter-observer agreement is quantified, and discrepancies are resolved through expert adjudication.
Expected outcomes and significance:
This protocol is designed as a preimplementation safety assessment to support go/no-go decisions for advancing AI tools into clinical research or practice. By operationalizing patient-level harm assessment using routinely collected data, the framework complements existing AI evaluation standards and addresses a critical gap in diagnostic stewardship. Although developed for blood culture stewardship, the protocol may be adaptable to other AI-based decision support tools in infectious diseases and beyond.
Quantifying the rate at which a stratified turbulent flow mixes a density field is of crucial importance for many environmental and industrial applications. In the absence of molecular diffusion $\kappa$ (i.e. in the absence of irreversible mixing), a stratified turbulent flow forced so as to have a constant kinetic energy will converge towards a statistical steady state whose density field geometric properties depend on the Richardson number $Ri$ (defined as the ratio of the kinetic energy in the flow to the amount of energy required to overturn the full water column). This statistical steady state is reached after vertically disturbed fluid parcels have explored the depth that is accessible energetically and have returned to their neutrally buoyant position, i.e. after a ‘resetting time’ $t_{R}$. The magnitude of $t_{R}$ is controlled by stratification strength $N$ and the buoyancy Reynolds number $Re_{b}$, quantifying the ratio between the Kolmogorov and Ozmidov scales, and hence the range of scales effectively unaffected by stratification. When $\kappa \neq 0$, a second time scale needs to be considered: the mixing time scale $t_{M}$. Within a mixing time, diffusion smooths the density field. We show that the ratio of the mixing and resetting times $t_{M}/t_{R}$, as well as $Ri$, control how fast stratified turbulent flows mix a density field into a fully homogeneous state and, hence, the history of mixing in such flows. In particular, we identify three regions in the $(Ri,t_{M}/t_{R})$ parameter space for which the time evolution of measures of mixing is controlled by different algebraic combinations of $t_{M}/t_{R}$ and $Ri$. These scaling laws are compared with idealised direct numerical simulations. Using these findings, we propose a simple model for the time evolution of the density histogram in stratified turbulent flows.
Alligatorweed, an invasive aquatic weed, has emerged as a major threat to sustainable crop production in various crop species. A two-year field study was conducted to investigate the impact of varied competition durations of alligatorweed on mungbean. The competition durations with alligatorweed included weed free conditions for first 3, 4, 5, 6 and 7 weeks after crop emergence along with a full season weed free treatment and alternatively weedy conditions for the aforementioned durations along with a full season weedy treatment. Competition with alligatorweed led to significant uptake of nitrogen (N), phosphorus (P) and potassium (K), with maximum uptake observed in the full season weedy treatment with N, P and K up to 65, 19, 56 kg ha-1, respectively. Additionally, significant accumulation of heavy metals (HMs) including copper (Cu), iron (Fe), manganese (Mn), zinc (Zn) and arsenic (As) up to 20, 16, 30, 14 and 11 g ha-1, respectively, was observed. Full season weedy plots produced more alligatorweed biomass and caused reductions of up to 81% in mungbean yield components. Alligatorweed infestation resulted in significant mungbean grain yield losses of up to 44% during 2022 and 52% in 2023, respectively. Furthermore, the three-parameter log-logistic equations identified the period from 4.2 to 6.8 weeks after crop emergence (WACE) as the critical period of alligatorweed competition that could result in a 10% yield loss in mungbean. Hence, alligatorweed poses a significant threat to mungbean production due to its strong competitive ability. However, its potential for HM accumulation offers promising opportunities for phytoremediation in both aquatic and terrestrial environments.
This forum continues the Journal of Public Policy’s series for debate and discussion of important ideas in the scholarly study of public policy. This exchange is anchored with an essay by Christopher Wlezien entitled, “On Policy Responsiveness: Conditions for Effective Demand and Supply.” Understanding the connection between the public and the officials meant to represent them is fundamental to democratic governance. While there is a voluminous literature from across the political science and policy studies spectrum, Wlezien offers a new framework for examining the “theoretical conditions for effective policy representation.” He develops the concepts of “input” as a function of public demand, and “output” as the result of policy supplied. Wlezien concludes that we observe a surprising amount of congruence between what the public wants and the policy it receives. This conclusion is in stark contrast to more pessimistic views prominent in the recent literature.