We investigated how the presence of linguistic labels, their iconicity and mode of presentation (cued vs not cued) affect non-linguistic cognitive processing, focussing on the learning and visual discrimination of new categories. Novel species of aliens that mimicked natural categories were paired with iconic labels, non-iconic labels or no labels across two tasks. In the Training task participants learnt to categorise the aliens, with results showing that both labels and iconicity improved categorisation. We then used a Match to Sample task to test how these variables affect rapid visual discrimination. Results showed that the presence of labels, their iconicity and label cueing all lead to more rapid and accurate visual discrimination of newly acquired categories. We argue that this is due to iconicity exaggerating sensory expectations provided by linguistic labels, made more readily accessible by cueing. We also examine the possible implications of our results for the discussion about language evolution.

The research of many decades by behavioral economists and psychologists has shown that the standard rationality axioms do not describe how individuals actually behave in many circumstances. Nevertheless, behavioral economists still argue for the normative character of the axioms: they describe how individuals should behave. Violations of the axioms are red flags for some type of pathology. This article argues that the history of the axiomatic approach in economics does not lend support to the normative case. Furthermore, it is argued analytically that the rationality axioms are vacuous. The attribution of irrationality to behavior can only be accomplished by reference of a more inclusive idea of rationality. The axioms are too thin and misleading. They do not have policy significance.

Low take-up of government services continues to challenge public investments in social services. Behaviorally informed interventions, so-called nudges, can overcome barriers that keep eligible individuals from accessing services. We report results from a pre-registered randomized controlled trial (RCT) to test email-based interventions to increase the take-up of publicly funded employment services in British Columbia, Canada. Our RCT design distinguishes between getting people ‘to-the-door’ (awareness and interest) and ‘through-the-door’ (enrollment). We find that emails with concise information that route individuals directly to online enrollment are most effective. The best-performing interventions more than doubled enrollment within 14 days, relative to a control group that received no communication. Using machine learning identify subgroups within the population who benefit most from our interventions. Yet despite these positive effects on take-up, we find that converting expressions of interest into enrollments remains a challenge. To increase take-up, policymakers must identify the nature of the challenge: getting people to-the-door or through-the-door. We also contribute to current debates about the quality of public service delivery.

Consistent with many countries in the region, the Republic of Guatemala likely has a high level of mental health need. However, with high poverty rates and workforce deficits, Guatemala faces challenges in providing accessible mental healthcare across the nation. We describe examples of interventions that have been developed to reduce this mental health gap by addressing the existing barriers to accessing mental healthcare. Within this country profile, we identify further opportunities, such as future mental health legislation, to improve access to services across the human lifespan, especially for at-risk and underserved communities.

Electrical contacts are critical components in all connector systems, as they enable the flow of electrical current. However, power contacts are increasingly subjected to various forms of degradation due to the high input power demands of modern electrical circuits. One of the primary causes of damage is the electrical arc, which can lead to erosion and oxidation of contact surfaces, ultimately resulting in electrical insulation failure. In industries such as aerospace, this type of failure can be mission-critical, especially in scenarios where in-orbit repair is not possible. Therefore, the design and choice of contact material must be carefully considered. Based on theoretical studies of arc-related phenomena, we conducted experimental tests focusing on the optimisation of hemispherical contact using samples made from various pure and coated materials. The contact surfaces in these tests were composed of high-conductivity base such as copper (Cu) and aluminum (Al), and were also coated with noble metals such as gold (Au) and silver (Ag). These materials are commonly used in sectors including aerospace, automotive and general industrial applications. To ensure a fair comparison, all contact samples were manipulated and tested under consistent conditions that reflect their real-world operational environments. The resulting arc parameters were identified and analysed through modeling to determine the most suitable contact design and material most capable of withstanding arc-related degradation over the mission duration, thus ensuring longer service life in applications were a continuous monitoring and repair are not feasible. The results show that repetitive exposure to high input power significantly damages contacts surfaces. Furthermore, the use of coated materials effectively extends the lifespan of the electrical contacts. Scanning electron microscope (SEM) and energy-dispersive X-ray spectroscopy (EDX) analyses support these findings, revealing that high-power input increases erosion rates and leaves pronounced marks on the contact surfaces.

Invariant maps are a useful tool for turbulence modelling, and the rapid growth of machine learning-based turbulence modelling research has led to renewed interest in them. They allow different turbulent states to be visualised in an interpretable manner and provide a mathematical framework to analyse or enforce realisability. Current invariant maps, however, are limited in machine learning models by the need for costly coordinate transformations and eigendecomposition at each point in the flow field. This paper introduces a new polar invariant map based on an angle that parametrises the relationship of the principal anisotropic stresses, and a scalar that describes the anisotropy magnitude relative to a maximum value. The polar invariant map reframes realisability in terms of a limiting anisotropy magnitude, allowing for new and simplified approaches to enforcing realisability that do not require coordinate transformations or explicit eigendecomposition. Potential applications to machine learning-based turbulence modelling include post-processing corrections for realisability, realisability-informed training, turbulence models with adaptive coefficients and general tensor basis models. The relationships to other invariant maps are illustrated through examples of plane channel flow and square duct flow. Sample calculations are provided for a comparison with a typical barycentric map-based method for enforcing realisability, showing an average 62 % reduction in calculation time using the equivalent polar formulation. The results provide a foundation for new approaches to enforcing realisability constraints in Reynolds-averaged turbulence modelling.

In its Advisory Opinion on the Legal Consequences arising from the Policies and Practices of Israel in the Occupied Palestinian Territory, including East Jerusalem, the International Court of Justice (ICJ) ruled not only that Israeli policies and practices in the occupied territory systematically violated international law, but also that Israel’s ‘continued presence’ (i.e. occupation) as such had become illegal, so that Israel was required to withdraw from the Occupied Palestinian Territories as rapidly as possible. The ICJ’s finding that Israel engaged in a sustained abuse of its position as an occupying power, through annexation of territory and frustration of Palestinian self-determination, was central to its reasoning, as was its holding that the legality of the occupation was to be judged against the jus ad bellum. This article unpacks the concept of an illegal occupation. It argues that, as matter of the jus ad bellum, it is only the right to self-defence that could, in theory, justify Israel’s continued occupation. Curiously, however, the Opinion does not mention self-defence, although it preoccupied many of the judges writing separately. The article argues that two approaches to the occupation’s ad bellum illegality are most persuasive: first, that the occupation could not meet the necessity and proportionality criteria of lawful self-defence; and, second, that even a valid self-defence claim can be vitiated by a predominant ulterior purpose.

The first globalisation of the world occurred under the motivation of the Avis dynasty of Portugal, aimed at discovering new lands and wealth, exploring ocean routes, especially with the successful epic journey to India. The political decisions of the Avis dynasty kings, along with Christianity’s interest in expanding into Africa and Asia, were key factors in the success of these maritime explorations. However, the Coriolis force was a significant force of nature for the outcome of this journey. Here we investigate Caminha’s letter, the scribe of Pedro Álvares Cabral’s fleet when he found the lands of Brazil. This letter contains detailed scientific data, distances travelled, dates, geographical features, fauna and flora, initial anthropological information on indigenous peoples, and records of coastal depths. Analysis of these elements and facts lead to a new proposal for the location of Mount Pascoal and the so-called safe harbour, where Cabral’s fleet landed.

This article traces the shifting fortunes of for-profit psychedelic medicine through two phases: a boom from 2016 to late 2021, followed by a bust that continued through late 2024. It argues that the forces driving this cycle are best understood through the concept of capitalization, which links present valuations to investor expectations about future earnings. Engaging the capital-as-power framework, the article situates psychedelic companies within the broader biopharmaceutical sector, showing how the volatility of drug development is intensified by the unruliness of these substances as capitalized assets. This unruliness stems from a range of factors, including murky intellectual property claims, unpredictable and intense subjective experiences, and lingering cultural stigma. During the boom, firms attracted significant interest from venture capital and other investors by promising revolutionary breakthroughs in mental health treatment. As expectations rose, so did valuations. But disappointing results from clinical trials, regulatory setbacks, and deepening doubts about the ability to control and standardize psychedelic therapies led to sharp declines in investor confidence. Analyzing financial performance alongside investor narratives, the article underscores the tensions involved in subjecting these unruly substances to the logic of capitalist power.

Non-native languages tend to be acquired through a combination of explicit and implicit learning, where implicit learning requires coordination of language information with referents in the environment. In this study, we examined how learners use both language input and environmental cues to acquire vocabulary and morphology in a novel language and how their language background influences this process. We trained 105 adults with native languages (L1s) varying in morphological richness (English, German, Mandarin) on an artificial language comprising nouns and verbs with morphological features (number, tense, and subject-verb [SV] agreement) appearing alongside referential visual scenes. Participants were able to learn both word stems and morphological features from cross-situational statistical correspondences between language and the environment, without any instruction. German-speakers learned SV agreement worse than other morphological features, which were acquired equally effectively by English or Mandarin speakers, indicating the subtle and varied influence of L1 morphological richness on implicit non-native language learning.

Recentneuro-symbolic approaches have successfully extracted symbolic rule-sets from Convolutional Neural Network-based models to enhance interpretability. However, applying similar techniques to Vision Transformers (ViTs) remains challenging due to their lack of modular concept detectors and reliance on global self-attention mechanisms. We propose a framework for symbolic rule extraction from ViTs by introducing a sparse concept layer inspired by Sparse Autoencoders (SAEs). This linear layer operates on attention-weighted patch representations and learns a disentangled, binarized representation in which individual neurons activate for high-level visual concepts. To encourage interpretability, we apply a combination of L1 sparsity, entropy minimization, and supervised contrastive loss. These binarized concept activations are used as input to the FOLD-SE-M algorithm, which generates a rule-set in the form of a logic program. Our method achieves a better classification accuracy than the standard ViT while enabling symbolic reasoning. Crucially, the extracted rule-set is not merely post-hoc but acts as a logic-based decision layer that operates directly on the sparse concept representations. The resulting programs are concise and semantically meaningful. This work is the first to extract executable logic programs from ViTs using sparse symbolic representations, providing a step forward in interpretable and verifiable neuro-symbolic AI.

With the end of the slave trade and the general emancipation of slaves, the problems of race did not disappear but simply were transformed.1