This response to Robert Gerwarth and Gwendal Piégais’s special issue on humanitarianism and civil wars in Europe has three parts. First, it aims to situate the authors’ findings in the broader context of what might be termed the ‘dialectic of humanitarianism’ – namely the reciprocal tendency of the violence of war, and notably civil war, and the mobilisation of humanitarian aid for its victims, to reinforce each other. Second, it considers in more detail some of the implications of the findings of all of the authors on the specific challenges posed by civil wars for ‘humanitarianism’ and for the ways in which we might write the history of the latter in the future. Finally, it reflects briefly on one key aspect of that history, namely the politicisation of humanitarian aid.

The Duke Research Equity and Diversity Initiative (READI) was established in 2021 to engage Durham and surrounding communities in clinical research and build capacity to promote equitable access to research participation. Within READI, a voucher program was launched with the goals of increasing diverse participation in clinical research, improving community-partnered research, and enhancing community engagement. The vouchers leveraged a stand-alone, community-centered, outpatient research clinic, the Duke Research at Pickett (R@P) facility, which was originally opened to support COVID-19 trials. A formative evaluation of the voucher program was conducted with 3 voucher-awarded teams, READI personnel, and R@P staff. Data included 18 semi-structured interviews (n = 14) over two timepoints (Spring 2023, 2024). A rapid response analysis approach was used. Data indicate that READI voucher-awarded services were useful for voucher teams, with value for supporting community-engaged efforts, making research participation accessible, creating a community-centered and streamlined service facility, and personnel development benefits. Communication and flexibility of support services facilitated program implementation. Challenges occurred in service utilization logistics and incorporating community engagement into research support services. Ultimately, we find that a research support program with embedded community engagement support is feasible; this type of support can be integral in normalizing community-engaged research.

Different farmers require different compensation payments to be incentivized to participate in water quality improvement-related agri-environmental schemes (AESs) and payment for ecosystem services (PESs). This is because they differ in their farm management practices, cost structures and attitudinal characteristics. However, these differences are rarely characterized in the design and implementation of AESs and PESs in the Global South. Using a discrete choice experiment, we investigate farmers’ willingness to accept compensation to control agricultural nonpoint source pollution in the Limpopo River Basin of South Africa to observe whether these differences matter. Conditional, random parameter and latent class logit models are estimated. Our latent class logit model identified one random choice class (farmers making random responses) and three preference classes of farmers (low-, moderate- and high-resistance) with dissimilar compensation requirements to alter their status quo farm management practices to improve water quality. Gender, age, education, farming experience and secure tenure rights are key drivers of preference heterogeneity.

Nationalist historiography portrays interwar protest in South Asia as predominantly Gandhian, non-militaristic, and non-violent. This portrayal is at odds with the experience of other parts of the world, which were shaped by a “violent peace” in the form of small wars, armed insurgencies, the mobilization of paramilitaries, and the increased prominence of the army in the public sphere in a context of the mass demobilization of military personnel. This article asks how South Asia’s interwar labour movement was shaped by a world marked by the experience of World War I and its aftermath. Through a study of labour “volunteer movements” or paramilitaries and military-related claims-making by labour leaders on the colonial state, it argues that “militarization” was an important aspect of labour politics in interwar South Asia. Volunteer movements were a widespread form of mobilization deployed by labouring populations. Labouring communities with historical connections to military service made claims on the colonial state’s patronage during industrial conflict by appealing to their past military service or official status as “martial races”. While this article studies these phenomena among Bombay’s textile and Dalit workers, it references analogous processes that occurred elsewhere on the subcontinent. Using a unique source base of the speeches and writings of labour leaders, publications of volunteer movements, workers’ court depositions, Marathi-language memoirs, strike enquiry committees, and newspaper material, it unearths a world of militaristic ideas and action seldom explored in the context of interwar South Asian labour.

Higher-order constructs enable more expressive and concise code by allowing procedures to be parameterized by other procedures. Assertions allow expressing partial program specifications, which can be verified either at compile time (statically) or run time (dynamically). In higher-order programs, assertions can also describe higher-order arguments. While in the context of (constraint) logic programming ((C)LP), run-time verification of higher-order assertions has received some attention, compile-time verification remains relatively unexplored. We propose a novel approach for statically verifying higher-order (C)LP programs with higher-order assertions. Although we use the Ciao assertion language for illustration, our approach is quite general, and we believe is applicable to similar contexts. Higher-order arguments are described using predicate properties – a special kind of property which exploits the (Ciao) assertion language. We refine the syntax and semantics of these properties and introduce an abstract criterion to determine conformance to a predicate property at compile time, based on a semantic order relation comparing the predicate property with the predicate assertions. We then show how to handle these properties using an abstract interpretation-based static analyzer for programs with first-order assertions by reducing predicate properties to first-order properties. Finally, we report on a prototype implementation and evaluate it through various examples within the Ciao system.

Generative AI (GenAI) offers potential for English language teaching (ELT), but it has pedagogical limitations in multilingual contexts, often generating standard English forms rather than reflecting the pluralistic usage that represents diverse sociolinguistic realities. In response to mixed results in existing research, this study examines how ChatGPT, a text-based generative AI tool powered by a large language model (LLM), is used in ELT from a Global Englishes (GE) perspective. Using the Design and Development Research approach, we tested three ChatGPT models: Basic (single-step prompts); Refined 1 (multi-step prompting); and Refined 2 (GE-oriented corpora with advanced prompt engineering). Thematic analysis showed that Refined Model 1 provided limited improvements over Basic Model, while Refined Model 2 demonstrated significant gains, offering additional affordances in GE-informed evaluation and ELF communication, despite some limitations (e.g., defaulting to NES norms and lacking tailored GE feedback). The findings highlight the importance of using authentic data to enhance the contextual relevance of GenAI outputs for GE language teaching (GELT). Pedagogical implications include GenAI–teacher collaboration, teacher professional development, and educators’ agentive role in orchestrating diverse resources alongside GenAI.

Using Danish register data, we study whether individuals save enough to maintain almost all (90%) of their pre-retirement consumption. We find that 85 percent do, largely due to mandatory labour market pension contributions. The remaining 15 percent are less likely to have mandatory pension schemes and do not compensate for the lack thereof via voluntary private savings. However, mandatory contributions come at the cost of lower consumption and non-retirement savings during working years. Individuals experiencing the largest increases in mandatory pension contributions accumulate less non-retirement wealth and consume less before retirement compared to those with small increases.

Quantum computing is rapidly advancing from a theoretical possibility to a transformative force in financial systems. With its high-dimensional computational capacity, quantum technology is promising for enhancing risk modelling, fraud detection and transaction efficiency. However, it also seriously threatens cryptographic security, regulatory coherence and systemic stability. This paper critically analyses the risks introduced by cryptographically relevant quantum computers and assesses the readiness of legal and institutional frameworks to respond. Focusing on the UK financial regulatory environment, the study proposes a quantum-safe integration roadmap grounded in post-quantum cryptography, adaptive regulatory models and sector-wide governance strategies. The paper argues for anticipatory regulation that embeds enforceable standards and strategic collaboration across public and private stakeholders through an interdisciplinary approach combining legal analysis and financial risk modelling. The UK’s leadership in quantum policy positions it to shape international norms in secure quantum adoption. Finally, the paper offers an analytical framework to ensure that quantum innovation reinforces rather than destabilises data integrity, financial resilience and public trust.

The effect of the bio-inspired leading-edge modifications on the aerodynamic performance of non-slender delta wing models was investigated in a low-speed wind tunnel using force and surface pressure measurements. The measurements were performed at a Reynolds number of $Re = 1 \times {10^5}$ over an angle-of-attack range from $ - 4^\circ $ to $30^\circ $. Seven different sharp-edged delta wing models with a 45-degree sweep angle (${\rm{\varLambda }}$), including a base wing, were used to study the effect of sinusoidal and saw-tooth leading-edge modifications. Sinusoidal leading-edge wing designs were inspired by the leading-edge tubercles of the humpback whale’s pectoral fins. The results indicate that the bio-inspired wing modifications resulted in a delay in the stall angle by 4 degrees, smoother stall characteristics, a higher maximum lift coefficient, and increased post-stall lift. The drag coefficient of the modified wings was observed as higher than that of the base wing model. Regarding the longitudinal static stability, leading-edge modifications decreased the stability of the wing as the angle-of-attack surpassed $\alpha = 17^\circ $.

The emergence of large language models (LLMs) provides an opportunity for AI to operate as a co-ideation partner during the creative processes. However, designers currently lack a comprehensive methodology for engaging in co-ideation with LLMs, and there is a limited framework that describes the process of co-ideation between a designer and ChatGPT. This research thus aimed to explore how LLMs can act as codesigners and influence creative ideation processes of industrial designers and whether the ideation performance of a designer could be improved by employing the proposed framework for co-ideation with custom GPT. A survey was first conducted to detect how LLMs influenced the creative ideation processes of industrial designers and to understand the problems that designers face when using ChatGPT to ideate. Then, a framework which based on mapping content to guide the co-ideation between humans and custom GPT (named as Co-Ideator) was promoted. Finally, a design case study followed by a survey and an interview was conducted to evaluate the ideation performance of the custom GPT and framework compared with traditional ideation methods. Also, the effect of custom GPT on co-ideation was compared with a non-artificial intelligence (AI)-used condition. The findings indicated that if users employed co-ideation with custom GPT, the novelty and quality of ideation outperformed by using traditional ideation.

The co-creation of new knowledge by combining traditional ecological knowledge and citizen science can empower communities to cope with impending and irreversible changes. However, scholar-activists walk a fine line between driving communities into fields that they are unfamiliar and uncomfortable with, and sharing their wealth of knowledge. This paper uses an autoethnographic approach to reflect on my experience as a researcher deeply involved in community organising in a rural fishing village in southwest Johor, Malaysia, and the tightrope I walked to provide locals with access to resources, networks, and materials, and to amplify their work through myriad media. My accidental scholar-activism is the outcome of 17 years immersed in this community, initially as an environmental education facilitator, then as the community found its voice, as a supporter of efforts to participate in and benefit from the development encroaching onto its neighbourhood and natural habitats. While the villagers simply wanted to safeguard nature-based livelihoods despite increasing habitat destruction and climate change impacts, my work in the background effectively empowered them to overcome restrictive power structures and improve social justice. This was an unplanned social movement that took on a life of its own, analysed through engaged and participative ethnography. While the community made headway in effective and impactful change, the journey demonstrated some failures in youth engagement, but unexpected success with the fishermen. Throughout it all, I questioned the wisdom of my providing people with a near-impossible vision of surmounting entrenched power structures, and the contravention of conservative cultural and gender norms.

This is a corrigendum to ‘An uncountable Furstenberg–Zimmer structure theory’ [Ergod. Th. & Dynam. Sys. 43(7) (2023), 2404–2436]. We report two issues in that paper. First, Lemma A.5 and Proposition A.6 in the Appendix, which supported a spectral analysis of conditional Hilbert–Schmidt operators, are incorrect. These results were used in the proof of Lemma 4.4, which establishes part of the equivalences in Theorem 4.1. We provide a correction for this issue here. While the proof strategy of Lemma 4.4 remains valid, the details have been revised using known auxiliary results in the non-commutative setting of tracial von Neumann algebras, replacing the faulty arguments from the Appendix. Second, the proof of the implication $\mathrm{(iii)} \Rightarrow \mathrm{(iii)}'$ in Lemma 4.10 is incorrect. We supply a new argument to address this. We also take this opportunity to correct several minor issues that have come to our attention since the paper’s publication. A fully revised version, including these corrections, as well as updated references and some fixed typos, is now available on arXiv.

The informal exit of the United States from the WTO under Trump is the culmination of US frustration with the organization's legislative and judicial rigidity, a frustration that has been building on a bipartisan basis for two decades. The WTO's commitment to a single undertaking, its reliance on consensus-based decision making, and an activist Appellate Body that imposed de facto stare decisis eroded political support for WTO rules in the United States and opened the door for political opportunists to cast them aside. We argue that the original GATT was, on balance, a more flexible and politically savvy bargain despite its imperfections. The 30-year history of the WTO that replaced it suggests the folly of trying to rein in powerful countries with a ‘rules-based’ institution, at least when the rules are unable to adjust to political shocks.