Collar monitoring devices are used in animals for the minimally invasive collection of physiological data, using software and algorithms to provide general health trends. There is potential to utilise the raw data collected from these devices to improve animal monitoring strategies and intervention points in animal disease studies. We aimed to develop an algorithm for the early detection of highly pathogenic African swine fever disease in research pigs (Sus scrofa), using data collected via modified PetPaceTM health monitoring collars. Pigs from two other studies (n = 6 per study, total n = 12) were opportunistically available and fitted with collar monitors for the daily collection of pulse rate, respiratory rate and heart rate variability, prior to and after experimental challenge with highly pathogenic African swine fever virus. Collar monitors detected a decreased mean, and increased variability, of pulse rate and heart rate variability in pigs post-challenge, which was not detected by single daily point-in-time measurements. The incidence of abnormal pulse rate, respiratory rate and heart rate variability readings increased in pigs after infection with highly pathogenic African swine fever, with increasing abnormal readings occurring both prior to the onset of, and during, clinical disease. A preliminary non-AI algorithm utilising these data detected disease in 100%, and predicted disease onset in 67%, of infected pigs. This paper describes how health-monitoring collars can be used to improve the early detection of African swine fever disease in pigs. Additionally, it provides a potential framework for developing and using non-AI algorithms in other disease models, to enhance animal monitoring and welfare outcomes in research animals.

This article proposes the electromagnetic soundwalk as an anti-method for consumer research, a compositional practice that listens to the infrastructural residue of market environments without aiming to interpret, represent or explain. Using a handheld electromagnetic detector, the walk transposes imperceptible emissions into audible frequencies, revealing the operational murmur of retail systems. These include devices such as wireless payment systems, contactless terminals, touch-screen tablets and digital signage, technologies that organise and condition consumer experience, but do so silently, beneath the threshold of ordinary perception. These electromagnetic emissions trace the infrastructures that shape and facilitate consumption yet remain formally outside marketing discourse. The soundwalk stages a form of methodological estrangement, where listening becomes a way of staying with systems that persist without expressive form. While rooted in soundwalking traditions, the project diverges from immersion or participation. Positioned within the sonic turn in consumer research, the paper reframes sound as residue, an ambient trace of logistical systems. For marketing, this is a speculative proposition. For sound studies, it is an example of compositional listening used to breach an adjacent field. What results is not a soundwalk for its own sake, but an acoustic method for hearing how consumer systems continue, quietly and without reward. The first section of the paper adopts a speculative and affective tone, free of citation, to evoke the experiential register of the method. Subsequent sections develop the theoretical and methodological foundations in a more conventional academic voice.

Interest groups spend large amounts of money on public campaigns, but do these outside lobbying strategies change public opinion? Several recent studies investigate this question, but come to different conclusions. We integrate existing approaches into one factorial design and conduct a well-powered survey experiment across two countries. We randomize type of interest group support and message medium in support of two prominent climate policies. Our results suggest that interest group messages can have a short-term influence on public opinion. However, the effects are not different from policy messages without interest groups, are not larger for messages from interest group coalitions, and are only effective for subsidies, but not for increases in taxation. In addition, we investigate the mechanism linking outside lobbying and public opinion and find that outside lobbying signals higher support for policies among the public. Our results have implications for comparative studies of interest group strategies.

The widespread rise of renting unaffordability and gentrification across European cities has drawn attention to the social unsustainability of heavily financialized and privatized housing markets. Indeed, contemporary patterns of standardization and depoliticization of housing crises collide with the increasingly pronounced functional equivalence between tenancies and home-owning, as well as with future urbanization prospects. The Article departs from an understanding of housing crises as by-products of inter alia property relations to examine two distinct clusters of constitutional tension that define the European housing landscape. It then details the recalibration of renting profitability and the regulatory or “soft” asymmetrization of housing governance as defining features of a post- or counter-neoliberal movement within property’s constitutional politics. While profitability relativism readily aligns with the basic tenets of European social constitutionalism, the plural resistances of constitutional governance structures to the localist repoliticization of housing crises urges fresh thinking around the shifting geographies of urban homeownership politics.

Malgré le fait que le Nouveau-Brunswick est la seule province officiellement bilingue au Canada, l’accès aux soins de santé dans la langue officielle de la minorité semble demeurer un grand défi. La province est l’une de celles avec la plus grande proportion de personnes âgées de 65 ans et plus, dont 35 % sont francophones. Le but de cette étude qualitative de type théorisation ancrée était d’identifier comment les personnes aînées francophones en situation minoritaire accèdent aux soins en français. Des entrevues avec des personnes âgées provenant des trois communautés francophones minoritaires au N.-B. furent réalisées. Les résultats mettent en lumière le processus de « l’identité contre la vulnérabilité » en présentant six étapes qui illustrent le faible nombre d’actions entreprises pour accéder aux soins de santé en français. De plus, l’influence constante de facteurs extrinsèques et intrinsèques affecte l’étape où on s’identifie comme francophone, ce qui accentue la vulnérabilité de la personne aînée dans le système de santé.

The KP-I equation arises as a weakly nonlinear model equation for gravity-capillary waves with Bond number $\beta \gt 1/3$, also called strong surface tension. This equation has recently been shown to have a family of nondegenerate, symmetric ‘fully localized’ or ‘lump’ solitary waves which decay to zero in all spatial directions. The full-dispersion KP-I equation is obtained by retaining the exact dispersion relation in the modelling from the water-wave problem. In this paper, we show that the FDKP-I equation also has a family of symmetric fully localized solitary waves which are obtained by casting it as a perturbation of the KP-I equation and applying a suitable variant of the implicit-function theorem.

This study presents a framework that combines Bayesian inference with reinforcement learning to guide drone-based sampling for methane source estimation. Synthetic gas concentration and wind observations are generated using a calibrated model derived from real-world drone measurements, providing a more representative testbed that captures atmospheric boundary layer variability. We compare three path planning strategies—preplanned, myopic (short-sighted), and non-myopic (long-term)—and find that non-myopic policies trained via deep reinforcement learning consistently yield more precise and accurate estimates of both source location and emission rate. We further investigate centralized multi-agent collaboration and observe comparable performance to independent agents in the tested single-source scenario. Our results suggest that effective source term estimation depends on correctly identifying the plume and obtaining low-noise concentration measurements within it. Precise localization further requires sampling in close proximity to the source, including slightly upwind. In more complex environments with multiple emission sources, multi-agent systems may offer advantages by enabling individual drones to specialize in tracking distinct plumes. These findings support the development of intelligent, data-driven sampling strategies for drone-based environmental monitoring, with potential applications in climate monitoring, emission inventories, and regulatory compliance.

Private equity (PE) firms are increasingly investing in healthcare, seeking short-term returns through market consolidation, price increases, asset sales, and financial engineering. Although PE is transforming the healthcare sector, many countries lack systematic data to determine whether a regulatory response is warranted. Using data from PitchBook, we document substantial and growing PE investment in health care across 25 of 38 Organization of Economic Cooperation and Development (OECD) countries, totalling over 8,400 reported deals and $1.4 trillion in capital between 2013 and 2023. Outpatient clinics represent the dominant target of investment, while hospital and elder care sectors have attracted investments in select countries. Exploratory regression analyses suggest that PE firms are less likely to invest in countries with a social health insurance system and that PE deal volume is positively associated with health expenditures. Country-specific deviations from model predictions underscore the importance of unmeasured country-specific factors such as regulation, payment policy, and market competition. Eight case studies illustrate the operational, financial, and social implications of PE investments, as well as diverse regulatory contexts. Given the lack of disclosure requirements, a key policy priority for governments is to enhance transparency to enable effective monitoring of the financialisation of health care delivery.

This article examines the historical and ongoing role of public agricultural research and extension in shaping avocado production in southern Turkey. Drawing on ethnographic fieldwork, expert interviews, and documentary analysis, I find that the making of Turkey’s avocado production base owes to a century-long state involvement in agricultural research and development. Contrary to the assumption that global markets single-handedly shape contemporary production and export geographies in the global South, in the case of Turkey’s avocado production it is not the market per se, but extensionists on the ground who actively advocate for risk-taking, efficient, export-oriented production methods. Despite the push for export-oriented production, smallholders continue to prioritize the domestic market by choosing to produce locally popular and more cold-hardy cultivars that are less prone to frost damage. Findings suggest that while public agricultural research and development were indispensable in creating the material conditions for this high-value crop boom in southern Turkey, farmers’ agency and local contextual factors ultimately shape the trajectory of this production geography. The analysis also demonstrates a persistent disconnect between the state’s agricultural vision and farmers’ realities, which explains why the avocado boom has remained a primarily domestic, rather than export-oriented, phenomenon.

In fragile contexts, the state is sometimes unable to effectively perform some of its fundamental functions, such as the provision of public services, law-making, or territorial governance. Multinational corporations sometimes step in to perform these functions by leveraging their political power. On the one hand, this facilitates the enjoyment of fundamental rights for the affected citizens; on the other hand, it risks undermining the relationship between citizens and the state itself, further weakening its foundations. This paper aims to identify a normative criterion to navigate this phenomenon, drawing on theory of positive constitutionalism to do so.

Design creativity is an inherently complex and recursive cognitive process involving nonlinear transitions between distinct cognitive states. This experimental neurocognitive study provides empirical support for theoretical nonlinear and recursive models of design creativity by examining neurocognitive processes across design creativity cognitive states, including idea generation (IDG), idea evolution (IDE), rating process (IDR), and rest mode (RST). EEG signals were recorded during loosely controlled design creativity tasks, and 13 well-established features were extracted from recurrence quantification analysis (RQA). A feature selection pipeline identified the most significant features for distinguishing between the cognitive states. Statistical analyses of the features provided deeper insights into brain dynamics and confirmed the significance of the selected features, supported by EEG topography maps. The findings revealed distinct and complex recursive dynamics across cognitive states, primarily involving the frontal, parietal and central regions, offering novel insights complementary to prior EEG studies. We also classified the cognitive states using the selected significant features through six classification models: k-Nearest Neighbor, Support Vector Machine, Naïve Bayes, Multi-Layer Perceptron, Linear Discriminant Analysis and Random Forest. To ensure robust evaluation, we applied three cross-validation strategies – hold-out, k-fold and one-subject-out – and combined the classifiers using majority voting fusion. Classification results (10-fold cross-validation) demonstrated high performance, with an average accuracy (96.23%), kappa (93.56%), recall (96.58%), precision (98.08%), F1-score (97.29%) and specificity (98.43%). The study provides findings that are consistent with theoretical expectations. Consistent with theoretical expectations, the findings deepen understanding of recursive and nonlinear neural dynamics in design creativity cognition and guide future research.

Blockchain technology is emerging as one of the most profound and cutting-edge innovations of the twenty-first century, providing a decentralized, immutable system for recording transactions. It has enabled the tokenization of distinctive digital assets, including art, music and real estate, through non-fungible tokens (NFTs). NFTs enable asset transfers by operating on pseudonymous blockchain networks, thereby preventing the disclosure of the owner’s real-world identity. While it enhances user privacy and innovation, it also creates significant anti-money laundering and counter-terrorism financing challenges. Fraudsters and other bad-faith actors can use these assets to obfuscate dirty money and illicit financial transactions, given lax or non-existent regulations on NFTs and extremely lax Know-Your-Customer compliance. In light of the above, the authors explore the nexus between NFTs and financial crime (with a particular focus on the legal frameworks of the Sultanate of Oman, the United Arab Emirates and the United Kingdom) in this article. The paper aims to evaluate how each jurisdiction’s response to NFT-related abuse has evolved and been effective in practice. This will be done through a review of existing laws, enforcement, regulations and regulatory gaps. The article ends with specific policy recommendations to enhance regulatory certainty, enforcement effectiveness and international cooperation, supporting an innovation-first approach to the NFT space tempered by necessary measures to prevent criminal abuse.

Backers of nuclear deterrence are thought to use strategic logic, while nuclear disarmament advocates are believed to embrace moral reasoning. Yet policy makers and diverse publics may hold both—ostensibly contradictory—preferences. Recent studies find that publics in Western democratic countries support the nuclear strikes underpinning long-standing conceptions of deterrence policy. But other scholarship indicates that these very same publics want to abolish nuclear arsenals. A lack of comparative analyses across the Global North and the Global South limits the generalizability of these claims. Does a categorical dichotomy between nuclear deterrence and disarmament really reflect global public views on the bomb? What explains a multitude of seemingly inconsistent scholarly results? In this reflection essay, we argue that deterrence and disarmament are not necessarily incompatible tools for reducing nuclear dangers. We point to several ways that individuals might simultaneously accommodate both pro- and antinuclear weapons policy positions. To investigate this proposition, we offer a new observational dataset on global nuclear attitudes from a survey we conducted in 24 countries on six continents (N = 27,250). Unlike isolated studies of these phenomena, our data strongly confirm that publics do not subscribe to categorical views of nuclear weapons. This headline finding and novel dataset open new possibilities for studying nuclear politics.