To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Risk regulation has increasingly expanded in European digital policy, yet it is diverging from its roots, especially the precautionary principle. Rather than traditionally focusing on scientific evidence and knowledge, the European approach to risk regulation has been increasingly based on constitutional values such as the protection of fundamental rights and democracy. This article seeks to unravel the logic that has led the Union to move from an approach to risk more based on science to a model which considers constitutional values as parameters to assess and mitigate risks. By focusing on European digital regulation, primarily the GDPR, the DSA and the AI Act, this work underlines how the constitutional rationale of this transformation comes as a response to the intangibility of risks resulting from digital technologies and to imbalances of information and knowledge coming from the concentration of private power in the digital ecosystem. The primary argument is that risk regulation in European digital policy does not seek to rationalise uncertainty through science but to govern epistemological uncertainty through the instruments of constitutionalism, with the goal of addressing the impact of digital technologies on fundamental rights and imbalances of power.
Outer space is increasingly central to international security. The use of Starlink in the Russo–Ukrainian war has enabled Ukrainian operations while negating Russian interference. Having witnessed Starlink’s crucial impact in Ukraine, several states seek to emulate the system’s offensive and defensive advantages. This article analyses how the onset of mega-constellations – satellite systems consisting of very high numbers of smaller satellites – will affect stability in the space domain. As states are increasingly dependent on space for both nuclear and conventional operations, the stability of the space domain is a key concern for international security. Showing how mega-constellations can mitigate existing vulnerabilities in space while generating offensive advantages on earth, this article shows that their proliferation is likely to make conventional counterspace attacks ineffective and costly. Therefore, mega-constellations will have a stabilising effect between states equally dependant on space. However, under conditions of asymmetric dependence, less space-reliant states may find incentives to employ highly destructive weapons, including nuclear weapons, to disable adversary mega-constellations. Accordingly, the proliferation of mega-constellations may act in a destabilising manner, especially if under conditions of asymmetry in space.
A key factor in ensuring the accuracy of computer simulations that model physical systems is the proper calibration of their parameters based on real-world observations or experimental data. Bayesian methods provide a robust framework for quantifying and propagating the uncertainties that inevitably arise. Nevertheless, they produce predictions unable to represent the observed datapoints when paired with inexact models. Additionally, the quantified uncertainties of these overconfident models cannot be propagated to other Quantities of Interest (QoIs) reliably. A promising solution involves embedding a model inadequacy term in the inference parameters, allowing the quantified model form uncertainty to influence non-observed QoIs. In this work, we revisit this embedded formulation and analyze how different likelihood constructions affect the inference of model form uncertainty, particularly under the presence of prescribed measurement noise and unavoidable model discrepancies. Two additional likelihood formulations, the global moment-matching and relative global moment-matching likelihoods, are introduced to explore alternative ways of representing the residual distribution. The behavior of these likelihoods is examined alongside existing formulations to show how different treatments of measurement noise and discrepancies shape the inferred parameter posteriors, and thereby affect the uncertainty ultimately propagated to the QoIs. Particular attention is given to how the uncertainty associated with the model inadequacy term propagates to the QoIs for the posteriors obtained from different likelihood formulations, enabling a more comprehensive statistical analysis of the prediction’s reliability. Finally, the proposed approach is applied to estimate the uncertainty in the predicted heat flux from a transient thermal simulation using temperature observations.
Recently, social philosophers have argued for a practice-based social ontology that can furnish a robustly social account of oppression and, in turn, illuminate the obstacles to and possibilities for social change. This paper argues for an intersubjective approach to oppressive social practices. Oppressive meanings constitute relationships between agents in ways they neither choose nor decide on; agents uphold those meanings through their relationships to others. This approach, I argue, can illuminate a critical case of an oppressive social practice that revolves around struggles for recognition and the dynamics of social change.
Applying the New Entrepreneurial History framework, this paper examines how ArcBest Corporation, an integrated logistics firm based in Fort Smith, Arkansas, became the last legacy less-than-load (LTL) carrier operating in the United States. It argues that the firm’s enduring viability is partially the product of an internal distributed agency among executives over a century that involved continual entrepreneurial processes: Envisioning and valuing opportunities informed by the multiplicative form of values, strategically reallocating and reconfiguring resources, and legitimizing novelty to stakeholders in response to profound market and regulatory shifts. These entrepreneurial processes, paired with the company’s commitments to a unionized labor force, informed executives’ strategic decisions that transformed the carrier from a regional hauler into a national, technologically sophisticated, integrated logistics provider. In applying the new entrepreneurial history to ArcBest, it considers how entrepreneurial opportunities are enacted within the context of a single firm over time.
The Mental State Examination (MSE) is a core component of psychiatric assessment and medical training, yet it was developed before feeding or eating disorders (FEDs) were widely recognised. FEDs are now common, clinically severe and frequently missed in routine assessments. We conducted a narrative review of the historical development of the MSE, current UK medical education standards and relevant literature, supplemented by a lived-experience perspective, to examine whether the MSE adequately captures eating behaviour, nutritional status and body image disturbance.
Results
We identified no published studies examining the explicit inclusion of FED-related psychopathology within the MSE. Current frameworks lack systematic prompts for eating behaviours and nutrition, contributing to under-recognition. Contributing factors include historical MSE design, limited curriculum coverage, clinician uncertainty and patient non-disclosure.
Clinical implications
Embedding brief, semi-structured prompts into the MSE is a feasible training-aligned approach to improve detection, support curriculum modernisation and enhance patient safety.
For $\lambda $ inaccessible, we show that “there is a nowhere trivial automorphism of $\mathcal P(\lambda )/[\lambda ]^{<\lambda }$” follows (in ZFC) from $2^\lambda =\lambda ^+$, and is consistent (via forcing) with $2^\lambda>\lambda ^+$.
This study examines the effectiveness of economic instruments in reducing carbon dioxide emissions in Organisation for Economic Co-operation and Development (OECD) countries. The focus is on renewable energy consumption and environmental taxation. Previous studies often report that both instruments reduce emissions. However, much of the literature relies on single econometric methods. This may overlook cross-country heterogeneity, cross-sectional dependence and dynamic adjustment effects. To address these limitations, this study applies a multi-model panel econometric framework using balanced OECD data from 2000 to 2022. Fixed effects, mean group, pooled mean group and common correlated effects estimators are employed. These methods allow the identification of both short-run and long-run relationships while accounting for unobserved common factors. The results show that renewable energy consumption consistently and significantly reduces carbon dioxide emissions across all model specifications. The effect is stronger in the long run. In contrast, environmental tax revenue shows weak and unstable effects that depend on model choice. Economic growth does not have a significant long-run impact on emissions. This suggests that efficiency gains and technological progress dominate scale effects in advanced economies. The findings highlight the importance of methodological robustness and support prioritizing renewable energy expansion over environmental taxation alone.
We study the interaction of an ion with a fluctuation in the electromagnetic fields that is localised in both space and time. We study the scale dependence of the interaction in both space and time, deriving a generic form for the ion’s energy change, which involves an exponential cutoff based on the characteristic time scale of the electromagnetic fluctuation. This leads to diffusion in energy in both $v_\perp$ and $v_\parallel$. We show how to apply our results to general plasma physics phenomena, and specifically to Alfvénic turbulence and to reconnection. Our theory can be viewed as a unification of previous models of stochastic ion heating, cyclotron heating and reconnection heating in a single theoretical framework.
This article is based on comments that I submitted to the Office of Management and Budget (OMB) as one of eight peer reviewers of OMB’s 2023 draft revisions to Circular A-4, “Regulatory Analysis.” Since that time, OMB issued a final version of Circular A-4, which was then rescinded in January 2025. This article summarizes some of my main comments on the 2023 draft version that I submitted as a peer reviewer, along with a “prologue” that summarizes some of the main issues raised in my peer review and an “epilogue” recognizing both the initial revision of Circular A-4 that was initially adopted, as well as the 2025 decision to rescind the revised version and return to the 2003 version of the circular. The 2003 Circular continues to provide useful guidance, but could have been improved by expanding the scope of regulatory impact analysis in ways discussed in my peer review comments.
Traditional leadership theories often portray influence as stable traits or behaviors, yet complex organizations require leadership to be understood as an emergent, feedback-driven process that co-evolves with contextual demands and follower motivation. This study conceptualizes servant leadership as a nonlinear, adaptive process rather than a fixed style, integrating Complexity Leadership Theory with the Job Demands Resources model and Regulatory Focus Theory. Servant leadership is theorized as an enabling mechanism through which shifting job demands and resources are translated into employees’ promotion and prevention orientations, shaping person-job fit, satisfaction, intrinsic motivation, initiative, and experienced responsibility. Using a two-phase longitudinal design, Phase 1 tested simple and serial mediation with structural equation modeling, and Phase 2 employed a cross-lagged panel model to examine reciprocal feedback dynamics. Results support a four-path process in which servant leadership differentially activates promotion and prevention focus and participates in ongoing feedback loops.
This study aimed to identify gaps and barriers to the use of antimicrobial resistance (AMR) surveillance data in Uganda and to recommend enhancements to improve policy and intervention outcomes.
Design:
A comprehensive assessment was conducted within a framework of infrastructural and system analysis, stakeholder engagement, and data management simulations.
Methods:
The assessment consisted of three components: (1) assessing data utilization through stakeholder engagement to identify barriers in data translation and use; (2) evaluating the existing infrastructure and surveillance system supporting AMR data flow; and (3) simulating processes of data management and flow to contextualize identified gaps.
Results:
Findings revealed deficiencies in the AMR data governance structure and informatics capabilities. Stakeholders highlighted limited access to data and analytical capacity as barriers to effective decision-making. The existing infrastructure lacks the capability for real-time data analysis, which limits the ability to inform national and health facility policies. Strengthening data management processes, enhancing analytical tools, and fostering stakeholder collaboration at all levels are recommended for efficient data utilization.
Conclusions:
Addressing these gaps is crucial for strengthening AMR surveillance in Uganda, enabling more effective data use to guide intervention and policies, and ultimately improving public health outcomes.
Attachment disorganization has enduring consequences for children’s socioemotional health. Although disrupted caregiving (e.g., frightening or intrusive behaviors) is a strong antecedent of attachment disorganization, much of its variance remains unexplained, highlighting the need to identify additional precursors. This longitudinal study examined the combined effects of mothers’ observed disrupted caregiving at six months of age, and their self-reported psychopathology, childhood maltreatment history, and sociodemographic risk, on infant attachment disorganization in the strange situation procedure at 22 months of age. Participants included 285 mother–infant dyads (52% boys; 80% white) from a Canadian pregnancy cohort. Sociodemographic risk (β = .15), disrupted caregiving (β = .27), and their interaction (β = .24) were associated with attachment disorganization. Sociodemographic risk was associated with greater attachment disorganization only at high levels of disrupted caregiving. Intervention strategies that address both caregiving behaviors and broader sociodemographic risks are needed to reduce attachment disorganization.
This study seeks to elucidate the historical development and transmission of the traditions associated with the ‘Seven Sets’ through a cross-textual analysis of Pali, Sanskrit, Chinese, Tibetan, and Gāndhārī sources. The Seven Sets comprise the four establishings of mindfulness, the four right endeavors/abandonings, the four bases of success, the five faculties, the five powers, the seven factors of awakening, and the noble eightfold path. The Eight-Set tradition emerged alongside the Seven-Set tradition by the second century, followed by the forty-one and forty-three dharmas contributing to awakening (bodhipakkhiya/bodhipakṣya) by the fifth century. However, the Seven Sets became the most dominant. Both the Vaibhāṣika and Mahāvihāra schools upheld the Seven Sets as the definitive framework for the dharmas contributing to awakening, rejecting any additional items. The Vaibhāṣika dismissed the forty-one dharmas as heretical, whereas the Mahāvihāra excluded the four meditations incorporated into the Eight Sets. After the sixth century, the Eight-Set tradition was subsumed by the Seven-Set tradition. No evidence supports the long-term survival of the other two traditions. The dominance of the Seven Sets reflects the transition in South Asian Buddhism from pluralism to doctrinal unity.
This study examines the mediating roles of dehumanization and humiliation in the relationship between political violence and mental health outcomes characterized by depression, anxiety and stress among Palestinians. This cross-sectional quantitative study was conducted in October 2024 with 633 Palestinian adults from the West Bank. The sample was recruited online through convenience sampling. Participants completed Arabic versions of the Exposure to Political Violence Scale, the Experience of Dehumanization Scale, the Humiliation Inventory and the Depression, Anxiety and Stress Scale-21. All measures were culturally adapted and validated. Ethical approval was obtained from the An-Najah National University, and informed consent was obtained. The findings revealed that political violence is positively associated with stress (r = 0.38), anxiety (r = 0.35) and depression (r = 0.34; all p < 0.01). Additionally, structural equation modeling revealed that political violence predicted higher stress (β = 0.66), anxiety (β = 0.83) and depression (β = 0.77), with significant indirect effects through dehumanization and humiliation (β range = 0.21–0.28; p < 0.01). Findings highlight the strong associations between exposure to political violence and poorer mental health, particularly when accompanied by experiences of humiliation and dehumanization. This research highlights the importance of developing culturally tailored, community-based mental health programs in Palestine that address the psychological effects of these experiences and promote resilience and recovery.
I present a critical review of one of the most influential trends in scholarship analysing the conceptual relationship between Freud and Kant in moral psychology. I discuss three Kantian sophisticated naturalistic approaches (KSNAs), which explore the possibility of accommodating Kantian moral imperatives within the Freudian psycho-developmentalist account, based primarily on the idea of the superego. Specifically, I examine three of their arguments about moral development that revolve around: (1) the relevance of guilt for moral orientation. The KNSAs propose that guilt is a moral feeling, the manifestation of a superego or moral conscience. I argue instead that guilt is not a moral feeling per se, although it can sometimes serve as a moral orientation. (2) The nature of our sources of moral motivation. For the KSNAs, it is irrelevant to think about the sources of our moral motivation because it is impossible to know them. I argue, however, for the relevance of the intelligibility of our moral commands, which should somehow match or resemble their moral source. (3) The concept of ideality. For the KNSAs, the superego’s commands are moral because they are ideal. I will argue that the ideality of the superego’s commands is, on the contrary, self-deceptive.
Plasma equilibrium with a pressure close to the magnetic field pressure ($\beta \sim 1$) are actively studied both in relation to various cosmic phenomena and in the context of more efficient plasma confinement in the magnetic traps. In particular, one of the most promising paths in the development of mirror traps is the transition to the diamagnetic confinement regime. In such a regime, a powerful neutral injection should create an extremely high-pressure plasma with a completely displaced magnetic field (a diamagnetic bubble) in the centre of the trap. The width of the transition layer in this bubble is an important parameter controlling the rate of longitudinal plasma losses. Previously, a model describing the structure of the transition layer in a bubble (Kotelnikov 2020 Plasma Phys. Control Fusion vol. 67, p. 075002) was built on the basis of the collisionless kinetic theory and, using the cold electron approximation, predicted the layer width at the level of ten ion gyroradii. In this paper, the model is generalised to the case of finite electron temperature, requiring us to take into account the electric potential in a self-consistent manner. It is found that, given the comparable temperatures of the ion and electron components, the plasma boundary has a two-scale structure similar to the recently discovered sub-ion magnetic holes. In the inner part of the transition layer, a noticeable jump in the magnetic field is provided exclusively by the electron current on a scale of less than ten electron gyroradii, the remaining part of the jump is created by the diamagnetic ion current on a much longer ion gyroradius scale.
Nies and Scholz formalized the notion of an infinite qubitstring and referred to it as a ‘state’. They defined ‘quantum Martin-Löf randomness’ for states. We give a notion of measurement of a state in a computable basis and introduce ‘quantum measurement randomness’, a randomness notion for states. A state is quantum measurement random if measuring it in any computable basis yields a Martin-Löf random bitstring with probability one. Our main result is that quantum Martin-Löf randomness strictly implies quantum measurement randomness. This uses the construction of a quantum measurement random state which is not quantum Martin-Löf random. We prove two general results on which this construction relies: The first concerns Martin-Löf randomness relative to computable measures and extends a result of V. Vovk. The second is a combinatorial result about Kronecker products.