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This paper presents a comprehensive study related to the connection between thermalization of cubic nonlinear lattices with nearest-neighbor coupling and the structure of the mixing tensor that arises due to the presence of nonlinearities. The approach is based on rewriting the underlying lattice system as a nonlinear evolution equation governing the dynamics of the modal amplitudes (or projection coefficients). In this formulation, the linear coupling become diagonalizable, whereas all cubic nonlinear terms transform into a combinatorial sum over a product of three modal amplitudes weighted by a fourth-order mixing tensor. The exact structure of several mixing tensors (corresponding to different types of cubic nonlinearities) is found, and their symmetry properties are connected with thermalization or lack thereof. Furthermore, we have observed through direct numerical simulations that the modal occupancies of lattices preserving these tensorial symmetries approach a Rayleigh-Jeans distribution at thermal equilibrium. In addition, we provided few examples that indicate that cubic lattices with broken tensorial symmetries end up not equilibrating to a Rayleigh-Jeans distribution. Finally, an inverse approach to the study of thermalization of cubic nonlinear lattices is developed. The idea is to establish a trade-off between the type of nonlinearities in local base and their respective interactions in supermode base. With this at hand, we were able to identify a large class of nonlinear lattices that are embedded in the modal space and admit a simple form that can be used to shed more light on the role that localization of the supermodes plays in thermalization processes.
In recent years, the manufacturing sector has seen an influx of artificial intelligence applications, seeking to harness its capabilities to improve productivity. However, manufacturing organizations have limited understanding of risks that are posed by the usage of artificial intelligence, especially those related to trust, responsibility, and ethics. While significant effort has been put into developing various general frameworks and definitions to capture these risks, manufacturing and supply chain practitioners face difficulties in implementing these and understanding their impact. These issues can have a significant effect on manufacturing companies, not only at an organization level but also on their employees, clients, and suppliers. This paper aims to increase understanding of trustworthy, responsible, and ethical Artificial Intelligence challenges as they apply to manufacturing and supply chains. We first conduct a systematic mapping study on concepts relevant to trust, responsibility and ethics and their interrelationships. We then use a broadened view of a machine learning lifecycle as a basis to understand how risks and challenges related to these concepts emanate from each phase in the lifecycle. We follow a case study driven approach, providing several illustrative examples that focus on how these challenges manifest themselves in actual manufacturing practice. Finally, we propose a series of research questions as a roadmap for future research in trustworthy, responsible and ethical artificial intelligence applications in manufacturing, to ensure that the envisioned economic and societal benefits are delivered safely and responsibly.
The mission of the Radiation Studies Program (RSP) in the Centers for Disease Control and Prevention, National Center for Environmental Health, is to analyze scientific advances, educate the public, and build public health capacity for all communities in the US to reduce morbidity and mortality from unnecessary exposures to radiation—both in daily life and in the event of a radiation emergency. The program accomplishes these goals by collaborating with national and international partners and supporting scientific advancements in collaboration with national and international organizations.
Since 2001, RSP has developed tools, training, and communication products to prepare and support local, state, tribal, and federal agencies in the US that are engaged in a response to a nuclear or radiological incident. This paper summarizes the latest RSP resources, which were presented during the 17th REMPAN Coordination Meeting in Seoul, South Korea, on September 14, 2023.
Who’s Taylor Swift, anyway? In this article, the author will discuss her two most recent albums, The Tortured Poets Department (2024) and The Life of a Showgirl (2025), through the lens of women’s musical and literary madness. This article argues that The Tortured Poets Department was, in essence, a mad scene akin to that of Lucia or Ophelia, and The Life of a Showgirl is what happens when a heroine returns to sanity—if she can be allowed to return at all.
We develop a real options model in which an entrepreneur facing ambiguity makes optimal investment and financing decisions for an innovation project. We introduce jumps in innovation returns and model investors’ aversion to ambiguity in both diffusion and jump risks. Debt accelerates investment by lowering the threshold and shortening expected waiting time, thereby increasing project value. This effect strengthens under greater ambiguity, offering a novel rationale for why debt—not equity—fosters innovation. Our results provide a coherent explanation for recent empirical findings on debt’s role in innovation and contribute to the broader literature on investment under uncertainty.
In Indigenous Lenca communities of western Honduras, craft production is a central livelihood that has economically supported artisan households for generations. In some communities, crafts like pottery are regarded as cultural patrimony, with socioeconomic and spiritual value that reflects Lenca identity. However, perceptions of which crafts are “Lenca tradition” and what it means to be a Lenca person in Honduras today vary greatly among the general public. Narratives of indigeneity are heavily shaped by the state and national tourism industry. Promotion of Lenca crafts, considered most commercially appealing, dominates national tourism marketing but often misaligns with how Lenca artisans define themselves and their craft practices. Constructions of “national identity” distance artisans from directly interacting with tourists and disconnect them from controlling the promotion of their respective identities and livelihoods. Through a comparative analysis of craft practices in five Lenca communities that are variably defined as “traditional” either in the tourism industry or by artisans themselves, this work asks: How have state-constructed definitions of “tradition” shaped public understanding of Indigenous Lenca identity in Honduras, from the colonial period to the present? How do these misconceptions impact Lenca artisans participating in the national tourism industry? How do Lenca artisans themselves define their contemporary craft practices and react against inaccurate identity narratives affecting their livelihoods? Drawing on neoliberal multiculturalism, this project explores complex and changing definitions of “tradition” and reactive strategies artisans use to maintain craft livelihoods and reclaim ownership of what it means to be an Indigenous Lenca artisan in Honduras today.
In an interview with Jonas Salk, the inventor of the first polio vaccine, when asked whether he owned the patents for the vaccine, Salk replied with a rhetorical question: “Could you patent the sun?” Decades later, patents about the Sun indeed emerged as solar radiation modification (SRM) technologies advanced. The current international legal system does not preclude the patenting of SRM technologies, primarily on the basis of the principle of technology neutrality in the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS Agreement). Since SRM has inherent dual effects – its potential benefits in helping reduce climate risk coexist with significant potential risks, including environmental harm and governance challenges. Risk regulation may require the exclusion of patents for certain SRM technologies. This article examines the potential grounds and current proposals to prohibit patents on certain SRM technologies, and the challenges these proposals may face under the principle of technology neutrality under the TRIPS Agreement. It then seeks to overcome the challenges by proposing to incorporate ex ante risk considerations into the patent system, which could be best implemented through a sui generis regulatory framework for SRM regulation that includes a prohibition on SRM patents.
For a perturbed trefoil vortex knot evolving under the Navier–Stokes equations, a sequence of $\nu$-independent times $t_m$ are identified that correspond to a set of scaled, volume-integrated vorticity moments $\nu ^{1/4}\mathcal{O}_{\textit{Vm}}$, with this hierarchy $t_\infty \leqslant \ldots \leqslant t_m\ldots t_1=t_x\approx 40$ and $\mathcal{O}_{\textit{Vm}}=(\int _{V\ell }|\omega |^{2m}\,{\rm d}V)^{1/2m}$. For the volume-integrated enstrophy $Z(t)$, convergence of $\sqrt {\nu }Z(t)=\bigl (\nu ^{1/4}\mathcal{O}_{\textit{V}\text{1}}(t)\bigr )^2$ at $t_x=t_1$ marks the end of reconnection scaling. Physically, reconnection follows from the formation of a double vortex sheet, then a knot, which splits into spirals. Meanwhile $Z$ accelerates, leading to approximate finite-time $\nu$-independent convergence of the energy dissipation rate $\epsilon (t)=\nu Z(t)$ at $t_\epsilon \sim 2t_x$. This is sustained over a finite temporal span of at least $\Delta T_\epsilon \searrow 0.5 t_\epsilon$, giving Reynolds number independent finite-time, temporally integrated dissipation, $\Delta E_\epsilon =\int _{\Delta T_\epsilon }\epsilon \,{\rm d}t$, and thus satisfies one definition for a dissipation anomaly, with enstrophy spectra that are consistent with transient $k^{1/3}$ Lundgren-like inertial scaling over some of the $\Delta T_\epsilon$ time. A critical factor in achieving these temporal convergences is how the computational domain $V_\ell =(2\ell \pi )^3$ is increased as $\ell \sim \nu ^{-1/4}$, for $\ell =2$ to 6, then to $\ell =12$, as $\nu$ decreases. Appendix A shows compatibility with established $(2\pi )^3$ mathematics where $\nu \equiv 0$ Euler solutions bound small $\nu$ Navier–Stokes solutions. Two spans of $\nu$ are considered. Over the first factor of 25 decrease in $\nu$, most of the $\nu ^{1/4}\mathcal{O}_{\textit{Vm}}(t)$ converge to their respective $t_m$. For the next factor of 5 decrease (125 total) in $\nu$, with increased $\ell$ to $\ell =12$, there is initially only convergence of $\nu ^{1/4}\varOmega _{V\infty }(t)$ to $t_\infty$, without convergence for $9\gt m\gt 1$. Nonetheless, there is later $\sqrt {\nu }Z(t)$ convergence at $t_1=t_x$ and $\epsilon (t)=\nu Z$ over $t\sim t_\epsilon \approx 2t_x$.
Susan G. Komen® (Komen) has invested nearly $1.1 billion in ground-breaking breast cancer research since 1982. As a patient-centered organization, Komen measures research funding impact beyond academic metrics in favor of economic value and societal effects. Here, we highlight an innovative approach to assessing the real-world impact of Komen-funded research by showing how Komen funding for pivotal studies and key personnel conducting research contributed to discovery and development of targeted therapy drugs approved to treat breast cancer by the United States Food and Drug Administration (FDA) between 2012 and 2023.
Methods:
We utilized bibliometric analysis to work backwards through citations within pivotal Phase III clinical trial publications to identify earlier clinical trials, pre-clinical research, and basic research publications that supported development of each drug, evaluating each published study and contributing authors for Komen funding support.
Results:
All 19 targeted therapy drugs approved by the FDA between 2012 and 2023 were impacted at multiple phases along the drug development pipeline by Komen funding, including direct impacts in basic research (i.e., investments in projects) that supported target discovery, and impacts in support of key personnel who contributed to pivotal studies and clinical trials (i.e., investments in people) that led to approval.
Conclusions:
Nonprofit and public sector research funding provide the foundation for the drug development pipeline. This paper highlights an innovative approach to assess the impact of research investments beyond traditional academic measures and underscores the significance of nonprofit, patient-centered organizations like Komen in driving drug development through supporting basic and applied research.
Turnout appeals are amplified in highly polarized, hotly contested elections like 2020. The political environment included social justice unrest, overt appeals to white male voters, and new voting procedures which resonated differently across intersectional identities. Gender and race politics intertwined to create a charged environment for mobilization and for social pressure to vote. We expect the nature and effectiveness of turnout appeals to have varied by race and gender intersections. In addition, given past behavior and the climate of protest, we expect individuals under 30 were less responsive to social pressures to vote. Using data from the 2020 Collaborative Multiracial Post-Election Survey (CMPS 2020), we examine whether individuals with different intersectional identities varied in their perception of social pressure to vote as well as in the effectiveness of that pressure. We find that voters are sensitive to social pressure appeals, but both perception and responsiveness vary with intersectional identity.
This paper investigates the connection between political settlements and foreign policy in Tanzania, focusing on how domestic power shifts impact external relations. Utilising Political Settlements Analysis (PSA), it examines the transition from John Magufuli’s presidency to Samia Suluhu Hassan’s, uncovering how elite configurations and intra-party dynamics shape foreign policy choices. The analysis draws on fieldwork, interviews and document reviews, revealing how changes in Tanzania’s political settlement – from Magufuli’s centralisation and populism to Hassan’s return to cooperative diplomacy – have influenced policies on resource management, international legal commitments and regional engagement. By illustrating the reciprocal relationship between domestic political configurations and foreign policy, this paper not only enhances the understanding of Tanzania’s case but also contributes to broader debates on the significance of political settlements in shaping the foreign policies of African states.
This article explores the institutional conditions behind the electoral rise of regional parties in Indian states. I argue that in regions where national parties are less organized, voters are more likely to support regional parties. This organizational weakness is initially affected by regionally based social cleavages, which undermine the internal cohesion of national parties. A nationalized party platform requiring all regional branches to coordinate under a shared agenda struggles to address these cleavages. Finally, regional-level politicians may defect from national parties and align with regional parties that better represent their constituents. Using path analysis, I test these claims, and the results support my hypotheses.
An enduring challenge for the human evolutionary sciences is to integrate the palaeoanthropological record of human evolution and speciation with the archaeological record of change and differentiation in hominin lifeways. The simplest hypothesis, and therefore an attractive hypothesis, is that change is made possible by, and reflects, evolutionary change in the capacity of individual humans. The very long-term trend of increasing diversity and sophistication of technical and social lifeways (albeit with noise and periods of stasis) reflects long-term trends of increasing cognitive capacity linked to bipedality, followed by body size increase, encephalization and slow life history. We suggest instead that the long-term trend sees a gradual decoupling of human lifeways from the intrinsic capacities of individual people. We develop this view through an analysis of the Middle Stone Age and behavioural modernity, arguing that these depend on mosaics of social and individual factors, none clearly connected to specific evolved changes in individual humans.
Bayesian optimisation with Gaussian process regression was performed to optimise the shape of an elastically mounted cylinder undergoing transverse flow-induced vibration. The vibration amplitude and mean power coefficient were obtained from two-dimensional numerical simulations, with Reynolds number $Re = 100$. First, shape optimisation was performed to maximise the amplitude of undamped vibrations. The optimised shape was found to be a thin crescent cylinder aligned perpendicular to the oncoming flow. The optimised shapes exhibited simultaneous vortex-induced vibration and galloping, a response which was not observed for other cylinder geometries at the same Reynolds number. Shape optimisation was also performed to maximise the power coefficient, where the power generation device was modelled as a linear damper. The power-optimised cylinders were also thin crescents, but with greater curvature compared with the amplitude-optimised cylinders. Compared with a circular cylinder, improvements in the power coefficient and efficiency of up to $523\,\%$ and $152\,\%$, respectively, were obtained.
To estimate and improve Ukraine’s health sector’s preparedness to respond to radiation and nuclear emergencies.
Methods
Field expert assessments and analytical methods were used.
Results
In September 2022, the WHO evaluation mission to Ukraine visited several critical regions to review the current state of health sector preparedness for a nuclear emergency and revealed many defects and items for improvement. The provision of radiation control equipment was considered for ambulance teams, admissions departments/emergency departments in designated hospitals, and tertiary level hospitals, and for National and Regional Public Health Laboratories. For cases of mass casualty, WHO procured 20 decontamination tents for the country. Training courses for medical specialists and decision-makers were launched.
Conclusions
The WHO mission was crucial in assessing the overall state of preparedness for CBRN threats and directing forces and resources to improve it. Donor assistance in the form of equipment for dosimetric monitoring and diagnostics of emergency-related disorders contributes to improving the preparedness of the health system of Ukraine to an adequate response to the threats of radiation and nuclear emergencies.
Self-harm among UK prisoners has risen over the past decade.
Aims
To explore self-harm risk factors and mental health conditions in prisoners, pre- and during imprisonment, compared with the general population.
Method
This retrospective cohort study linked electronic health records and Ministry of Justice data for Welsh male prisoners (2019), and a comparison general population cohort. We examined imprisonment likelihood based on prior self-harm and mental health conditions using logistic regression. We also studied self-harm risk up to three years during imprisonment through Generalised Estimating Equations and time-stratified Cox regression, using a pre-imprisonment comparator (3 years before).
Results
Prisoners (N = 6095) had higher rates of self-harm and mental health conditions pre-imprisonment compared with non-prisoners (e.g. self-harm odds ratio: 2.1 (1.9, 2.2)). Self-harm risk was 5.25–6.47 times higher in prisoners than non-prisoners, both pre- and during imprisonment. Risk was highest shortly after incarceration, then declined, becoming lower than pre-imprisonment after 7 months. While most conditions correlated with higher self-harm risk during imprisonment (e.g. drug use, hazard ratios: 1.5–3.0), some (e.g. depression and alcohol use) showed weaker links in prisoners than non-prisoners, particularly from 7 months after imprisonment. Self-harm risk was seemingly higher in prisoners on remand compared with those sentenced.
Conclusions
Pre-imprisonment, self-harm in male prisoners is already high compared with the general population, potentially driving a saturation effect, where known general population risk factors have a weaker effect in prisoners. Self-harm prevention should target people in contact with criminal justice, irrespective of imprisonment. In prisons, prevention efforts deployed at inception should target those with prior self-harm, drug use, learning difficulties, bipolar disorder and those on remand.
Efforts to reduce restrictive practices (RPs) in mental health care are growing internationally. Yet, inconsistent definitions and perspectives often challenge the consistent implementation and evaluation of reduction strategies. This study explored which scenarios different mental health stakeholders classify as RPs, examined the contextual factors influencing these classifications and compared classification patterns across clinicians, researchers, service users and family caregivers.
Methods
An international cross-sectional survey was conducted using a multilingual online questionnaire hosted on the Qualtrics platform. A total of 851 stakeholders participated, including clinicians (n = 517), service users (n = 80), family caregivers (n = 89) and researchers (n = 165). Participants were presented with 44 potential RP case scenarios and asked to rate whether each scenario should be classified as an RP using a four-point Likert scale (Definitely yes, Probably yes, Probably no, Definitely no). The scenarios were organized into 22 paired comparisons, each sharing the same core context but differing in specific details. Paired comparisons were analyzed one pair at a time, allowing us to identify classification patterns between the scenarios and isolate the effects of particular contextual factors using ordered logistic regression. Interaction analyses were then conducted to assess how classification patterns varied across stakeholder groups.
Results
Substantial discrepancies exist both within and between stakeholder groups regarding whether a given action should be considered an RP or not. Physically visible actions were often identified as RPs across all groups, while less visible forms often went unrecognized. Contextual differences, such as the healthcare professional’s intention, duration of the action, methods used, presence or absence of consent, door-locking status, and the severity of anticipated harm to be prevented influenced whether a given action was classified as an RP. Service users classified more scenarios as RPs than other groups; however, their decisions were more context-sensitive, shifting notably even with minor changes in scenario details. Among the 22 paired scenarios compared, 13 (59.09%) showed significant differences (p < 0.01) within at least one stakeholder group and eight demonstrated differences between groups.
Conclusions
Mental health stakeholders’ interpretations of RPs were often shaped not only by the inherent coercive nature of actions but also by the context in which they occurred and the professional role of the assessors. This underscores the need for harmonized definitions and classification frameworks for RPs, co-designed with diverse stakeholders. Addressing less visible forms of RPs in policy and clinical practice is also essential.