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We define general notions of coordinate geometries over fields and ordered fields, and consider coordinate geometries that are given by finitely many relations that are definable over those fields. We show that the automorphism group of such a geometry determines the geometry up to definitional equivalence; moreover, if we are given two such geometries $\mathcal {G}$ and $\mathcal {G}'$, then the concepts (explicitly definable relations) of $\mathcal {G}$ are concepts of $\mathcal {G}'$ exactly if the automorphisms of $\mathcal {G}'$ are automorphisms of $\mathcal {G}$. We show this by first proving that a relation is a concept of $\mathcal {G}$ exactly if it is closed under the automorphisms of $\mathcal {G}$ and is definable over the field; moreover, it is enough to consider automorphisms that are affine transformations.
We show how this result can be applied to quickly determine relationships and differences between various geometries and spacetimes, including ordered affine, Euclidean, Galilean, Newtonian, Late Classical, Relativistic and Minkowski spacetimes (we first define these spacetimes and geometries using a Tarskian first-order language centred on the ternary relation ${\mathsf {Bw}}$ of betweenness). We conclude with a selection of open problems related to the existence of certain intermediate geometries.
Despite growing attention to gender biases in student evaluations of teaching (SET) in political science, research on effective mitigation strategies remains limited. Given the reliance on SET as a dominant measure of teaching quality in higher education, this study investigates the impact of short-term bias mitigation prompts and prolonged exposure to gender-focused topics on SET. Using a survey experiment conducted in general education social science courses at a mid-sized, Midwestern nonprofit Catholic university, we found that bias mitigation prompts encouraged greater self-reflection, prompting students to critically evaluate their instructors and their own performance. This intervention appeared to reduce the advantages previously afforded to men instructors. However, exposure to gender topics revealed a complex dynamic: whereas gender-related courses are associated with higher SET ratings overall, this positive effect is significantly weakened for women instructors. Women teaching gender-related courses receive lower evaluations than would be expected based on the separate effects of course topic and instructor gender. Our findings underscore the complex interplay among faculty members’ gender, gender education, and persistent stereotypes.
This perspective examines the application of transfer learning (TL) within deep learning (DL) frameworks for extreme water level (EWL) and spatiotemporal flood predictions. We discuss the main advantages of TL, such as enabling model transferability of pretrained DL models from/to diverse coastal-estuarine systems and reducing computational time compared to physics-based models. These advantages can accelerate the deployment of flood prediction models in data-limited locations. We also discuss challenges and limitations that hinder accurate pattern recognition and propagation of EWLs from gauge (observation) stations to surrounding locations within model domains. These limitations include dependence on similarity in data distributions, overfitting the training data and both lag and hysteresis effects in the timing of peak water levels and flood dynamics. Lastly, we explain several misconceptions and challenges in current DL approaches that hinder EWL and spatiotemporal flood prediction, including training models exclusively on extreme conditions, assessing accuracy solely through goodness-of-fit metrics, and connecting the model’s knowledge of input data with physical explanations of flood processes without an adequate context. We argue that these challenges can be addressed by prioritizing storm-relevant patterns of the input data features as well as embedding spatial propagation of EWLs in DL frameworks to mimic coastal-estuarine hydrodynamic models. Ultimately, progress toward generalizable model transferability relies on the modeler’s ability to incorporate physical understanding in DL architectures, alongside continued advances in physics-informed machine learning models via soft or hard constraint approaches. There remains substantial work to establish guidelines and/or formal procedures to develop robust, interpretable, and generalizable DL models for spatiotemporal flood prediction, thereby supporting effective flood management, mitigation, and emergency preparedness.
This article explores the relationship between EU internal market law and ambitious tobacco end-game policies, using the United Kingdom’s proposed smoke-free generation measure and its application to Northern Ireland under the Windsor Framework as a focal case. Responding to objections raised by EU Member States through the Technical Regulations Information System (TRIS), the article develops an interpretative framework that situates free movement rules within the EU’s broader constitutional commitment to public health protection. Drawing on a doctrinal analysis of EU primary law, the Tobacco Products Directive, EU Court of Justice case law, and the TRIS submissions themselves, the article challenges claims that generational sales bans are inherently incompatible with EU law. It argues that such claims rely on narrow and selective readings of internal market doctrine that overlook the extent to which health protection is embedded in EU market regulation. The analysis demonstrates that EU law leaves significant regulatory space for national authorities to pursue proportionate, evidence-based tobacco control measures, including end-game strategies. Beyond the immediate UK–Northern Ireland context, the findings have broader implications for innovative public health regulation within the EU, contributing to ongoing debates at the intersection of health policy, regulatory governance, and economic integration.
Chapter 4 surveys the ways in which imperial officials were represented in various forms of late ancient Christian literature. In so doing, it acts as an introduction to Part II, which explores how contemporaries conceived of distinctly Christian forms of political service in this period. There is not a straightforward ‘archive’ of sources for this problem. Texts on government by current or former administrators do not tend to discuss the implications of their religious identities. As a result, it is rare that we can reconstruct an officeholder’s own perspective. At the same time—and in sharp contrast to other Christian authority figures (emperors, bishops, ascetics)—there is no single genre of Christian literature which focuses consistently on the careers of imperial or royal officials. This chapter thus considers how the purposes, audiences and generic expectations of letters, sermons, church histories, and saints’ lives shaped (and sometimes demanded) positive portrayals of officials, their religious identities, and their interactions with Christian communities and authority figures.
Translational researchers often occupy dual roles as clinicians and investigators, creating ethical tensions that are inadequately addressed by traditional training in research ethics or clinical ethics. This study aimed to design, pilot, and evaluate a short course to improve early-stage translational researchers’ self-efficacy with respect to navigating conflicts between their roles as researchers and clinicians or community advocates.
Methods:
An inter-disciplinary team at University of Rochester developed an 8-module course aimed at improving self-efficacy in moral decision-making. Using Rest’s Four Component Model, the eight course sessions focused on moral sensitivity, reasoning, motivation, and action with respect to dual-role ethical issues such as expanded trial access, ancillary obligations, and return of results. Thirteen early-stage translational researchers participated in a pilot course delivered in person from March through May 2024. Evaluation included pre-and post-course surveys and focus groups.
Results:
Participants demonstrated significant improvements in self-efficacy for moral sensitivity (mean increase .79, p < .001), moral reasoning (mean increase .80, p = .001), and ability to take moral action (mean increase .67, p = .002). Participants’ attitudes toward translational research were generally stable. Focus groups revealed that participants highly valued the course, but desired greater curricular cohesion and more guidance on implementation strategies.
Conclusions:
This pilot course successfully enhanced early-career translational researchers’ self-efficacy for ethical decision-making in dual-role contexts. The findings suggest that ethics education tailored to translational researchers’ unique challenges can meaningfully improve their capacity to navigate complex ethical tensions.
Childhood maltreatment and adolescent mental health problems are unequally distributed, with the highest burdens among marginalised groups including females and those experiencing socioeconomic disadvantage. However, little is known about how the psychological consequences of maltreatment vary across intersecting social positions (e.g., socioeconomically disadvantaged females). Prior quantitative work has largely focused on average differences across a limited number of groups, obscuring non-additive intersectional patterning. Because social realities are structured by overlapping systems of privilege and oppression (e.g., relating to gender, socioeconomic position, ethnicity, age, and place), we leveraged recent methodological advances to address this gap. Accordingly, this study aimed to (i) map inequalities in adolescent emotional problems and the effects of maltreatment across intersectional positions; and (ii) describe the extent to which inequalities in emotional problems reflect additive and non-additive (intersectional) effects.
Methods
Data were analysed from 19 590 students aged 11–16 years who participated in the OxWell 2023 Student Survey in England, United Kingdom. Within a random-coefficient Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA), individuals were nested in 180 intersectional strata defined by combinations of social positions relating to gender, ethnicity, household poverty, school year group, and school-level deprivation (also entered as additive main effects). Emotional problems (Revised Child Depression and Anxiety Scale; RCADS-11) were regressed on maltreatment exposure (Short Childhood Maltreatment Questionnaire) as the primary effect of interest. Stratum-specific predicted emotional problems and maltreatment effects were estimated, and between-stratum variance was partitioned into additive and residual non-additive components.
Results
Maltreatment was associated with higher levels of emotional problems, with stratum-specific increases ranging from +3.20 to +6.14 scale points. Socioeconomically disadvantaged females and individuals who selected ‘other’ or ‘prefer not to say’ for gender showed the highest levels of emotional problems and among the strongest maltreatment effects. Between-stratum inequalities in emotional problems were largely accounted for by maltreatment exposure and the additive contributions of the included social positions. However, residual non-additive effects were also evident, particularly among individuals exposed to maltreatment, where 5.25% of between-stratum variance remained unaccounted for by additive effects (compared with 3.46% among those not exposed).
Conclusions
In this large community sample of adolescents in England, the detrimental effects of maltreatment on emotional problems appear pervasive but not uniform across intersectional social positions. Applying an intersectional MAIHDA framework suggests that inequalities in adolescent emotional problems largely reflect additive social patterning, with additional non-additive contributions suggestive of intersectional dynamics that are more pronounced with maltreatment exposure. These findings motivate deeper investigation into the social-structural mechanisms that shape vulnerability and resilience in adolescence, and support the need for trauma-informed, equity-focused interventions and policy action to reduce unequal exposure to maltreatment and the contexts that amplify its harms.
The activity of membrane-active peptides/proteins (MAPs) involves interactions with lipid bilayer regions of cell membranes. For example, antimicrobial peptides, lytic peptides, pore-forming toxins, lipidated peptides, and cell-penetrating peptides are all MAPs. Most MAPs induce damage in cell membranes/lipid bilayers, such as nanopore formation. Various methods have been employed to examine the interactions between MAPs and lipid bilayers, as well as MAP-induced membrane damage. Methods using giant unilamellar vesicles (GUVs) are particularly versatile techniques because they provide useful information regarding both MAP–lipid bilayer interactions and MAP activities such as membrane damage. GUV studies have revealed many aspects of elementary processes of MAP-induced membrane damage and their correlations, thus clarifying the mechanisms of MAPs-induced membrane damage. Here, we focus on GUV-based studies of MAP-induced nanopore formation in lipid bilayers. First, we review the binding of MAPs to the lipid bilayers. Second, we review the rate of MAP-induced nanopore formation and the rate of membrane permeation of fluorescent probes through the nanopores. Third, we review the relationships between several elementary processes involved in MAP-induced nanopore formation (i.e., binding of MAPs, nanopore formation, translocation of MAPs across lipid bilayers) and factors that induce membrane instability to facilitate nanopore formation. The pre-pore model of translocation of MAPs across lipid bilayers is also reviewed. Fourth, we review the effects of membrane tension, membrane potential, and lipid composition on MAP-induced formation of nanopores and their stability. Finally, we describe our perspectives on future GUV-based studies of MAP-induced nanopore formation.
This paper uses the introduction at the US Food and Drug Administration of dose–response extrapolation for ascertaining toxicity between 1950 and 1980 to analyse the negotiations between statistical knowledge and regulation. Those statistical methods enabled experimental results to be translated into a ‘safe dose’ of a substance for human consumption, but different methods continued to give different estimates of effects, and there was little basis for determining which methods were most accurate. I argue that statisticians were not proposing their discipline so much as a tool for mechanical decision making than as a set of methods for establishing a regulatory procedure that made assumptions and judgements visible. Consequently, their use did not bring debates about low-dose toxicity to a close even as they promoted a regulatory ethos and enabled regulators to act, even in cases of inherent uncertainty and inescapable variability.
All adult pulmonary tuberculosis (TB) hospitalizations (N = 66) during 2018–2022 at Highland Hospital were reviewed. Positive sputum smears were significantly associated with longer median excess length of stay (9 d). Implementing new TB infection control guidance and investing in community-based isolation facilities may reduce healthcare utilization.
Social actors frequently mobilise against hybrid regimes, yet efforts to block harmful projects or constrain executive overreach rarely succeed. This paper develops a framework for explaining and predicting when such regimes concede to civic demands, focusing on two dimensions: (1) the extent to which meeting a demand would threaten key pillars of the regime’s structural power; and (2) the degree to which an issue generates broad emotional resonance. Their configuration shapes the likelihood and form of concessions. The framework is tested through six campaigns between 2020 and 2024 in Serbia led by Move, Change, a major civic organisation opposing the Vučić regime. Across all six cases, the issue’s initial position in the two-dimensional matrix – and its movement over time – closely predicted regime behaviour. Low structural threat paired with high issue resonance tended to produce relatively swift concessions, whereas high-threat issues met sustained resistance. The paper advances research on authoritarian resistance by clarifying when civic pressure can meaningfully alter regime behaviour, while providing activists with a strategic planning tool for selecting and framing issues to maximise their leverage.
Glymphatic functioning is implicated in cognitive and affective functioning. Given that rumination, a major risk factor for major depressive disorder (MDD), is a cognitive process regulating information processing, knowledge of the neurobiological mechanisms underpinning the relationship among glymphatic functioning, rumination, and depression would offer significant insight into the precipitating and maintenance mechanisms of MDD.
Methods
This study recruited 53 MDD patients and 47 matched healthy controls (HCs). Diffusion Tensor Image Analysis along the Perivascular Space (DTI-ALPS) index was computed as a proxy of the glymphatic functioning. Rumination and depressive severity were evaluated using Ruminative Response Scale (RRS) and Hamilton Depression Rating Scale (HAMD), respectively. Static and dynamic functional connectivity (FC/dFC) analyses were performed, and associations with neurotransmitter maps were explored.
Results
MDD patients showed reduced glymphatic function compared to HCs, with lower glymphatic function correlating with more severe depression and rumination. Rumination mediated the glymphatic–depression relationship. Furthermore, overlapping static FC involving default mode and subcortical networks linked the glymphatic functioning and rumination. Edge-centric dynamic FC analysis showed reduced State 3 occurrence and heightened rumination, further mediating the glymphatic–rumination relationship in HCs. Both FC biomarkers spatially correlated with various neurotransmitter maps (e.g. dopamine).
Conclusions
Glymphatic dysfunction may exacerbate depression by disrupting brain networks and neurotransmitter balance, trapping individuals in maladaptive rumination. Enhancing glymphatic flow (e.g. via physical exercise) could restore neurobiological health, breaking the maladaptive cycles. This highlights glymphatic functioning as a potential therapeutic target bridging neurobiology, cognition, and depression severity.
The ARC$^{\textrm {TM}}$ tokamak, a high-field ($B_T$ = 11.4 T) fusion power plant, under development by Commonwealth Fusion Systems, is studied using a suite of integrated modelling tools to predict its fusion power generation ($P_{fus}$), transport and confinement properties. Analysis is based off an ARC operational point scoped first with zero-dimensional (0-D) plasma operational contour (POPCON) modelling to produce 1.13 GW of fusion power. A suite of integrated modelling tools (TRANSP, ASTRA and TORAX) were applied to predict the performance and kinetic profiles of the ARC design point, yielding a range of predicted performance spanning from ${\sim} 900$ to 1300 MW in rough quantitative agreement with POPCON predictions. The sensitivity of these results to uncertain modelling inputs was probed using scans of pedestal boundary conditions around EPED-predicted values (total pressure and temperature ratios), tungsten concentration and seperatrix density around their nominal assumptions. Pedestal pressure and pedestal top $(T_i/T_e)$ play a large role in 1.5-dimensional performance predictions, able to modify the predicted $P_{fus}$ by a factor of 2 within reasonable assumptions. High-fidelity core nonlinear gyrokinetic profile predictions, performed using CGYRO (Candy et al. 2016 J. Comput. Phys., vol. 324, pp. 73–93) coupled with the PORTALS (Rodriguez-Fernandez et al. 2024 Nucl. Fusion, vol. 64, 076034; Phys. Plasmas, vol. 31, 2024, 062501) framework, yield substantially lower performance ($P_{fus} = 677$ MW) compared with 0-D and medium-fidelity modelling for nominal assumptions, showing that there is non-negligible uncertainty between models and that future work on SPARC may help resolve discrepancies. Lower overall performance results from significantly reduced volume-averaged densities and temperatures, along with reduced levels of density and temperature peaking. Turbulence and transport are largely dominated by ion temperature gradient across the profile, confirmed by both linear stability and the response of the nonlinear fluxes to changes in gradients, with some impact of kinetic ballooning modes in the deep core. This work represents one of the most complete scoping of potential fusion power plant conditions performed to date. The extensive integrated modelling provides confidence in ARC performance approaching 1 GW, while nonlinear gyrokinetic modelling results in open questions into the physics of density and temperature peaking in fusion-power-plant-relevant operational space. A discussion of results and the role that the SPARC tokamak (Creely et al. 2020 J. Plasma Phys., vol. 86, 865860502) will play in informing ARC design, performance and operation is presented.
This chapter sets out a taxonomy of late ancient approaches to Christian political service. Historians of the Christianization of the Roman world have tended to take at face value the (oft-repeated) contemporary assertion that a traditional public career was irreconcilable with Christian piety and the true form of service: militia Christi. Yet as ch. 4 shows, this was just one of many ways in which late ancient observers thought through the compatibility (or otherwise) of officeholding and Christian commitment. Drawing inspiration from recent work which has read between the lines of ascetic texts to reconstruct the character of a more moderate ‘respectable’ Christianity, this chapter delineates the ways in which Christian officials could reconcile their careers and religious identities. Through this holistic account, I argue that there were numerous ways for individual officeholders to be presented, perceived—and indeed, to understand themselves—as virtuous political actors, according both to traditional Roman political assumptions, and to the more distinctly Christian norms which appropriated, problematised, and reframed them in late antiquity.
When most of the world’s parliaments were created, women could not vote or be elected. Correspondingly, parliaments’ rules and infrastructure as well expectations of parliamentarians’ (MPs) performance were designed around masculine standards, including the assumption that MPs had no caretaking responsibilities. Scholars seeking explanations for women’s underrepresentation argue that parliaments remain unwelcoming to those with caretaking roles. As long as women continue to bear disproportionate household obligations, increasing women’s presence in elected office requires parliaments to adopt reforms to accommodate parents. We surveyed members of Germany’s national and state parliaments about their attitudes towards parenthood and politics and support for various parenthood accommodations. We find that gender rather than being a parent shapes how politicians perceive the challenge of reconciling politics and parenthood. But shared experiences among women do not automatically produce similar attitudes about policies to make parliaments family friendly. Party ideology and gender both predict support for parliamentary reforms.
The late nineteenth-century animal marketplace was a thriving industry. The growth of empire and the development of new technologies and infrastructure facilitated the global movement of animals. As a result, many more reached Britain, where they were purchased by a range of customers for varying pursuits. Historians have explored the role of animal dealers in facilitating this market, but few have considered the influence of the ‘fancy of the private collector’ upon the trade. Taking naturalist, museum proprietor and zoo owner Lionel Walter Rothschild (1868–1937) as its case study, this paper explores the ways in which the scientific predilections of those with money and influence shaped the market and business practices of animal dealers, contributing directly to the ‘booms in beasts’ of the period. However, the retailing of animals involved more than financial transactions. Through an examination of the supply of animals to Rothschild’s zoological enterprise, this paper will demonstrate how scientific interests and purchasing power could combine to elevate customers from passive consumers, reliant on the capabilities of the animal dealer, to active collaborators. Working together, wealthy customers and dealers secured the further procurement of material, contributing to the construction of zoological knowledge, whilst also building their professional reputations.
Strong health system governance requires effective stewardship of private actors operating within health systems and ensuring that their activities align with a government’s strategic health goals. Financialisation, defined as the expanding role of financial actors, instruments, and ideas, has been identified as a potential opportunity, but also challenge to health systems and their governance. There is a need to comprehensively understand how financialisation impacts both health systems and their governance. We initiated a critical interpretative synthesis of literature theorising financialisation of health systems or health system governance. A search was conducted to identify English-language, peer-reviewed and grey articles that (1) contains definitions or conceptual frameworks of financialisation; and (2) relates this concept to health systems or health-system governance. We found that articles defined financialisation as a transformative process characterised by the advent of private investors and financial instruments within health systems. We identified several emergent themes in the literature, such as the role of profits and competition in financialised health systems. Finally, most articles addressed potential challenges that financialisation raises for health system governance, especially accountability and transparency challenges. We conclude by considering how future research might address the remaining gaps within the literature.
We present a perturbation-based framework that captures buoyancy effects on modal instabilities in stratified boundary-layer flows within the fully compressible, non-Oberbeck–Boussinesq formulation. Treating the Richardson number as a small parameter and recasting the stability problem into an adjoint-residual form, we derive a first-order correction for the eigenvalues using only the neutrally buoyant eigenvalue problem. The framework applies to both ideal-gas and non-ideal fluid boundary layers and eliminates the need to re-solve the eigenvalue problem at each stratification level at minimal computational cost. For ideal-gas boundary layers, the framework accurately predicts how stable and unstable stratification modifies Tollmien–Schlichting waves, from growth rates and eigenfunctions to $N$-factors, across a wide range of Prandtl numbers, temperature ratios and Mach numbers. Notably, the buoyancy sensitivity varies strongly with Prandtl number, revealing that for a given Richardson number, buoyancy can switch from destabilising to stabilising depending on the fluid. Beyond ideal-gas conditions, we apply the first-order buoyancy correction to strongly stratified boundary layers with supercritical fluids, where the phase relationship between density and velocity perturbations determines whether buoyancy stabilises or destabilises the underlying instability. The resulting $N$-factors demonstrate, for the first time, that buoyancy significantly affects transition predictions under pseudo-boiling conditions.
We prove that every oriented tree on $n$ vertices with bounded maximum degree appears as a spanning subdigraph of every directed graph on $n$ vertices with minimum semidegree at least $n/2+{\mathrm{o}}(n)$. This can be seen as a directed graph analogue of a well-known theorem of Komlós, Sárközy, and Szemerédi. Our result for trees follows from a more general result, allowing the embedding of arbitrary orientations of a much wider class of spanning ‘tree-like’ structures, such as collections of at most $O(n^{0.99})$ pairwise vertex-disjoint cycles and subdivisions of graphs $H$ with $|H|\lt \exp \bigl (\sqrt {\textrm {O}(\log n)}\,\bigr )$ in which each edge is subdivided at least once.