Using metric techniques introduced by Berndtsson, we show a result on the constancy of families dominated by a constant variety and, on the opposite side, results on the strong non-isotriviality of certain families of surfaces with positive index and, in arbitrary dimension, in terms of the complex conjugate of a suitable representative of the Kodaira–Spencer class. We also give a metric interpretation of the liftability of relative volume forms.

This article discusses the characterization of a shell as labyrinthine in Theodoridas, Anth. Pal. 6.224 (= 3524–9 Gow–Page, HE). It contextualizes the description in relation to a myth about Daedalus on Sicily, Theodoridas’ probable homeland. It then reappraises the implications of the phrase for the aesthetics of the epigram.

Surrogate models have gained widespread popularity for their effectiveness in replacing computationally expensive numerical analyses, particularly in scenarios such as design optimization procedures, requiring hundreds or thousands of simulations. While one-shot sampling methods—where all samples are generated in a single stage without prior knowledge of the required sample size—are commonly adopted in the creation of surrogate models, these methods face significant limitations. Given that the characteristics of the underlying system are generally unknown prior to training, adopting one-shot sampling can lead to suboptimal model performance or unnecessary computational costs, especially in complex or high-dimensional problems. This paper addresses these challenges by proposing a novel, model-independent adaptive sampling approach with batch selection, termed Cross-Validation Batch Adaptive Sampling for High-Efficiency Surrogates (CV-BASHES). CV-BASHES is first validated using two analytical functions to explore its flexibility and accuracy under different configurations, confirming its robustness. Comparative studies on the same functions with two state-of-the-art methods, maximum projection (MaxPro) and scalable adaptive sampling (SAS), demonstrate the superior accuracy and robustness of CV-BASHES. Its applicability is further demonstrated through a geotechnical application, where CV-BASHES is used to develop a surrogate model to predict the horizontal deformation of a diaphragm wall supporting a deep excavation. Results show that CV-BASHES efficiently selects training samples, reducing the dataset size while maintaining high surrogate accuracy. By offering more efficient sampling strategies, CV-BASHES streamlines and enhances the process of creating machine learning models as surrogates for tackling complex problems in general engineering disciplines.

Why do communist countries sign bilateral investment treaties (BITs)? This article explores this question through the case of Yugoslavia, the first communist state to do so. In 1974, Yugoslavia signed a BIT with France, paving the way for further investment treaties – both in Yugoslavia and, soon after, in other communist countries. These developments sparked intense debate within the Yugoslav Communist Party, with some factions viewing them as a betrayal of Marxist–Leninist principles. While Western powers welcomed the move, it was strongly criticized by Eastern Bloc countries, particularly the Soviet Union, as ideological heresy. This paper analyses the complex motivations behind Yugoslavia’s foreign investment policy in the 1960s and 1970s, arguing that it was driven by domestic political, geopolitical, and ideological factors – not just economic considerations. Domestically, BITs were linked to the Communist Party’s efforts to maintain political power and stability. Geopolitically, they served as tools to secure international allies. Ideologically, the policy sought to promote a distinct Yugoslav model of socialism – one that blended socialist principles, workers’ self-management, market economics, and coexistence with both capitalist and socialist states. This ideological dimension, overlooked in the literature, highlights how BITs were not merely economic instruments but also tools for advancing a hybrid economic and foreign policy that challenged both capitalist and Soviet orthodoxies.

In considering the charges brought against Al Hassan Ag Abdoul Aziz Ag Mohamed Ag Mahmoud, the ICC has been forced to address the question of Islamic criminal law. Following the reasoning of the Prosecution, Trial Chamber X considered Sharia punishments mandated by the Islamic court and implemented by the Islamic police to be evidence of the existence of an organizational policy to commit a widespread or systematic attack against a civilian population with the aim of denigrating and subjugating the community in Timbuktu. Trial Chamber X also accepted the Prosecution’s conclusion that applying different forms of Sharia punishments amounted to the crime of torture. Such an expansive view of core international crimes has the potential to send an alienating message to Muslim communities around the world and particularly those countries that apply Sharia criminal law. The overriding narrative of the article does not diminish the harm caused by Ansar Eddine but rather presents an alternative to the Trial Chamber’s and the Prosecution’s reasoning, campaigning for more active engagement with the principles of Sharia. As discussed at length, the duty of an international court is to adapt a multicultural and diverse interpretative guidelines by considering more traditional systems of justice. In that regard, the ICC has yielded to the universalists and Eurocentric agenda by deciding to dismiss Islamic traditions in their entirety. While Sharia based punishments remain shocking for the Western societies, their spiritual, religious, and exonerating value remains poignant for the Muslim majority states and communities. The practices cannot be therefore dismissed, and if looked at in line with the Third World Approaches to International Law could enrich the legal reasoning for future investigations and trials.

This article examines how intersectional ideologies and experiences of marginalization affect the extent to which African Americans support or oppose the marginalization of LGBTQ+ communities. We posit that awareness of the race-gender positionality of African American women, as well as the unique positionalities of other marginalized African American subgroups, is critical to understanding the conditions under which Black Americans embrace LGBTQ+ rights and communities. Using the Black respondent subsample of the 2016 Collaborative Multiracial Post-Election Study, we test the extent to which intersectional theories explain African American cross-group consciousness with LGBTQ+ persons and support for LGBTQ+ rights and communities. In doing so, we distinguish multiple mechanisms through which identity intersections affect African American1 political attitudes, and we find that, though intersecting marginalized identities can be critical to fomenting African Americans’ support for the rights and concerns of LGBTQ+ communities, not all intersections lead to a more inclusive Black politics.

This article conceives of the prevalence of death occurring during the COVID-19 pandemic in older people’s care homes in the United Kingdom (UK) through the lens of necrocapitalism. There is significant evidence that pre-pandemic marketisation policies have structured endemic neglect in the sector, but these generalised failures are frequently not highlighted in the debates around the causes of COVID-19 deaths. The article seeks to specify the way caring has been re-fashioned through a specific form of necrotic privatisation, resting on degrading the intensity of caring, institutionalised via market-orientated regulation. COVID-19 fatalities in older people’s services are necrocapitalist as pre-existing the pandemic the sector was defined by forms of slow violence, exacerbated during the crisis. The de-regulation and cost-saving at the heart of commodified care denigrate older people’s existence, reorienting the value of care in terms of its potential to generate profit.

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.

Strain rate and stress are widely regarded as crucial indicators for quantifying glacier dynamics on sub-monthly scales. However, existing frameworks for quality assessment of both strain rate and stress in fast-moving glaciers remain insufficient, hindering the application of rheological analysis to complex dynamic natural processes. To address this gap, we first extract and evaluate the surface velocity fields and their gradients from Sentinel-2A/B imagery using the Normalised Cross-Correlation (NCC) approach for Helheim Glacier, eastern Greenland. The results indicate that the minimum time threshold significantly affecting velocity gradients is 10 days for the Sentinel-2A/B missions, and that the threshold varies with season. We further develop a method based on error theory to enhance the retrieval accuracy of strain rate and stress at sub-monthly baselines, thereby supporting high-resolution dynamic research on Helheim Glacier. Our evaluations demonstrate the applicability of the NCC method to sub-monthly time scales and rapidly changing regions, thereby contributing to the quantification of glacier changes in a warming world.

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.