Can exposure to a foreign language in the first year of school enhance divergent thinking skills? Ninety-nine monolingual children from predominantly White neighbourhoods (MAge = 57.7 months, SD 1.2; 47 girls) attending bilingual schools, schools with weekly foreign language lessons, or schools without a foreign language provision (= controls) completed divergent thinking and executive function tasks at the beginning of the school year and 24 weeks later. The groups did not differ on creativity measures at the beginning of the school year. Only bilingual school children and weekly language learners improved divergent thinking at the second testing point, with the former significantly outperforming controls on creative fluency and flexibility. Improvements could not be explained by executive function development. Therefore, a considerable amount of exposure to a foreign language in early formal education appears to boost creative thinking.

Recent approaches to heritage languages have sought to identify explanations for variability in heritage grammars. The present study explores variable patterns of Spanish differential object marking (DOM) in 40 heritage Spanish speakers (HSs) from the United States and 28 Spanish-dominant bilingual speakers (SDSs) from Mexico. Participants completed a picture description task including human, animal and inanimate direct objects. Both groups exhibited patterns of DOM following the Animacy Scale. However, HSs showed lower DOM rates and greater individual variability with human referents compared to SDSs, even when individual differences in language dominance were considered. Conversely, SDSs produced lower rates of DOM with inanimate objects than HSs. DOM use was constrained by verb-specific animacy biases across animacy conditions and speaker groups. These findings reveal that Spanish HSs maintain baseline-like variable patterns of DOM. Moreover, HSs may advance language change in predictable directions based on patterns of variation present in the baseline variety.

Arctic human settlements experience formidable challenges from accelerating climate change and environmental transformations. While these towns have demonstrated adaptive resilience, the looming threat of local climate extremes raises concerns about the results of adaptation and mitigation efforts. With the further development of Arctic settlements, it is necessary to consider changes in local climatic conditions, shifting the adaptation focus from regional to local scales. The local climate perspective in this literature synthesis study is built upon constraints from physical climatology, focused on the climate and environment within and around the town of Longyearbyen, Svalbard. The study provides insights into Longyearbyen’s local climate dynamics, including physical mechanisms, climate localisation, factors and trends, as well as their implications. Three model pathways for development are discussed, centred on (1) industrial development, (2) public services, and (3) tourism and conservation. This categorisation is introduced to distinguish development scenario sensitivity to the local climate effects. The synthesis indicates that any development concentrated spatially will amplify local warming and climate change, as positive climate feedback predominate. The study emphasises the need for a comprehensive understanding of the environmental factors sustaining local climatic anomalies.

We compare three different approaches to describe a magnetic island in a generic toroidal plasma: (i) perturbative, from the perspective of the equilibrium magnetic field and the related action in a variational principle formulation; (ii) again perturbative, based on the integrability of a system with a single resonant mode and the application of a canonical transformation onto a new island equilibrium system; and (iii) non-perturbative, making use of a full geometric description of the island considered as a stand-alone plasma domain. For the three approaches, we characterize some observables and discuss the respective limits.

Schizophrenia impacts several cognitive systems including language. Linguistic symptoms of schizophrenia are important to understand due to the crucial role that language plays in the diagnostic and treatment process. However, the literature is heavily based on monolingual-centric research. Multilinguals demonstrate differences from monolinguals in language cognition. When someone with schizophrenia is multilingual, how do these differences interact with their symptoms? To address this question, we conducted a pre-registered PRISMA-SR scoping review to determine themes in the literature and identify gaps for future research. Four hundred and twenty records were identified from three databases in 2023. Thirty articles were included in the synthesis. We found three emergent themes: (1) the need for multilingual treatment options, (2) differences in symptomology between the L1 and L2, and (3) the impact of cultural factors on linguistic functioning. Thus, several avenues of research regarding multilingualism may be fruitful for improving linguistic and social outcomes in schizophrenia.

We construct a reflexive Banach space $X_{\mathcal {D}}$ with an unconditional basis such that all spreading models admitted by normalized block sequences in $X_{\mathcal {D}}$ are uniformly equivalent to the unit vector basis of $\ell _1$, yet every infinite-dimensional closed subspace of $X_{\mathcal {D}}$ fails the Lebesgue property. This is a new result in a program initiated by Odell in 2002 concerning the strong separation of asymptotic properties in Banach spaces.

A new diosaccin species, Paramphiascella aestuarii n. sp., was found in sediment samples from a shallow estuary in north-western Mexico. The morphological distinction between the new species and its congeners is discussed. The new species is morphologically close to P. calcarifer (Sewell, 1940) from the Maldivian Archipelago. However, P. calcarifer differs from the new species in the proximal and subdistal outer spiniform processes on the female second antennulary segment. Bayesian inference based upon molecular characterization (nuclear 18S ribosomal DNA and the mitochondrial cytochrome oxidase subunit I genes) places the new species within a large group of Diosaccinae Sars G.O., 1906, for which molecular sequences are available, composed of Typhlamphiascus typhlops (Sars G.O., 1906), Rhyncholagena cuspis Yeom and Lee, 2023, Robertgurneya jejuensis Yeom and Lee, 2022, and Amphiascoides Nicholls, 1941. The close relationship with Amphiascoides as its sister genus, only morphologically distinct in the structure of the second endopodal segment of the male second swimming leg, is also confirmed.

We present a practical verification method for safety analysis of the autonomous driving system (ADS). The main idea is to build a surrogate model that quantitatively depicts the behavior of an ADS in the specified traffic scenario. The safety properties proved in the resulting surrogate model apply to the original ADS with a probabilistic guarantee. Given the complexity of a traffic scenario in autonomous driving, our approach further partitions the parameter space of a traffic scenario for the ADS into safe sub-spaces with varying levels of guarantees and unsafe sub-spaces with confirmed counter-examples. Innovatively, the partitioning is based on a branching algorithm that features explainable AI methods. We demonstrate the utility of the proposed approach by evaluating safety properties on the state-of-the-art ADS Interfuser, with a variety of simulated traffic scenarios, and we show that our approach and existing ADS testing work complement each other. We certify five safe scenarios from the verification results and find out three sneaky behavior discrepancies in Interfuser which can hardly be detected by safety testing approaches.

The rat lungworm Angiostrongylus cantonensis is a zoonotic metastrongyloid nematode currently considered an emerging pathogen. Originating in Southeast Asia, this nematode has spread to tropical and subtropical parts of the world via its invasive rodent and gastropod hosts.

On the island of Tenerife in the Canary archipelago, the A. cantonensis invasion was recognized more than a decade ago. The endemic lizard Gallotia galloti has been identified as a paratenic host of this nematode in the Canary Island ecosystem. Because this lizard species is the most abundant reptile in Tenerife, we tested its suitability as a possible sentinel for A. cantonensis presence. Lizards were captured alive in nine localities, spanning an environmental gradient across the island. Tail muscle tissue was obtained by provoked caudal autotomy and tested for the nematode infection by a species-specific qPCR. Infection intensities were assessed by detecting A. cantonensis DNA quantities based on a calibrated standard curve. Of the 129 samples tested, 31 were positive. The prevalence varied among localities, with the highest (63.6%) recorded in a humid laurel forest. Even though the prevalence in Valle San Lorenzo was the lowest, this is the first record of A. cantonensis from the arid south of Tenerife. Variation in prevalence at different localities was significantly and positively correlated with increasing vegetation cover and negatively correlated with seasonal variability of precipitation, as determined by Spearman correlation coefficients. Fisher’s exact test was used to determine the variation in the prevalence of A. cantonensis among adult males, females, and juveniles and showed no significant difference. Also, there was no significant difference in infection intensity between males and females (as determined by GEE-g). We demonstrated that provoking caudal autotomy can be an effective non-lethal method of A. cantonensis mapping in island ecosystems with abundant lizard species, particularly those with a sharp climatic and vegetation gradient, from xeric to humid conditions.

Transfer learning has been highlighted as a promising framework to increase the accuracy of the data-driven model in the case of data sparsity, specifically by leveraging pretrained knowledge to the training of the target model. The objective of this study is to evaluate whether the number of requisite training samples can be reduced with the use of various transfer learning models for predicting, for example, the chemical source terms of the data-driven reduced-order modeling (ROM) that represents the homogeneous ignition of a hydrogen/air mixture. Principal component analysis is applied to reduce the dimensionality of the hydrogen/air mixture in composition space. Artificial neural networks (ANNs) are used to regress the reaction rates of principal components, and subsequently, a system of ordinary differential equations is solved. As the number of training samples decreases in the target task, the ROM fails to predict the ignition evolution of a hydrogen/air mixture. Three transfer learning strategies are then applied to the training of the ANN model with a sparse dataset. The performance of the ROM with a sparse dataset is remarkably enhanced if the training of the ANN model is restricted by a regularization term that controls the degree of knowledge transfer from source to target tasks. To this end, a novel transfer learning method is introduced, Parameter control via Partial Initialization and Regularization (PaPIR), whereby the amount of knowledge transferred is systemically adjusted in terms of the initialization and regularization schemes of the ANN model in the target task.

Multilingual language control is commonly investigated using picture-naming paradigms with explicit instructions when to switch between languages. In daily life, language switching also occurs without external cues. Cued language-switching tasks usually show a switch cost (i.e., slower responses on switch than non-switch trials). Findings of switch costs in response times are mixed for voluntary language switching. This pre-registered study uses a bilingual picture-naming paradigm to compare voluntary and cued language switching in 25 highly proficient Dutch-English bilinguals using EEG. We analysed the N2 ERP component and midfrontal theta oscillations, two common electrophysiological markers of cognitive control in task and language switching. We observed significantly smaller behavioural switch costs in the voluntary task. This suggests that voluntary language switching is less effortful than switching based on external cues. However, we found no electrophysiological switch effects in either task. We discuss factors which may contribute to the inconsistency between behavioural and electrophysiological findings.

The 1814 memoir of missionary wife Harriet Newell was important for awakening the early nineteenth-century American Evangelical imagination on behalf of the burgeoning missionary cause. As young women ‘read the self’ and patterned their lives according to the literary examples they encountered, Newell's memoir used the language of ‘usefulness’ as a powerful theological plot. This article hopes to address the lacuna of scholarship regarding the theological aspects of Newell's writing and how it was those aspects in particular which subsequent generations venerated in the creation of missionary wife memoirs.

This paper explores the use of mediation in medical treatment disputes through the lens of therapeutic justice (TJ), a concept developed in the 1990s to consider the therapeutic and anti-therapeutic effects of justice systems. The paper argues that mediation may be a mechanism for achieving therapeutic effects for people involved in medical treatment disputes. In doing so, the paper highlights the conflict that can often arise between healthcare professionals, family members and patients in medical treatment disputes and the related difficulties with using litigation to resolve this type of conflict. It has been suggested by judges, academics and policy-makers that mediation might be a better way of resolving conflict in these cases. While mediation and TJ have much in common, the paper explores the many tensions between them, considering ways in which mediation might need to be done differently to achieve therapeutic aims. Finally, the paper identifies six TJ features against which mediation can be tested to consider whether it can live up to the claims that it can be used to resolve medical treatment disputes more therapeutically.