A COVID-19 pandemic gown conservation strategy for methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococci (VRE) asymptomatically colonized patients caused no significant difference in healthcare-associated MRSA (HA-MRSA) bacteremia, healthcare-associated VRE (HA-VRE) bacteremia, or healthcare-associated Clostridioides difficile infections (HA-CDI) versus prepandemic contact precautions (CP). Postpandemic HA-VRE and HA-CDI rates mirrored national trends.

Comparative legal literature increasingly stresses the fundamental importance of informal norms that underpin democratic and constitutional governance. A particular species of these informal norms is the constitutional convention. Although there is wide recognition of the fact that populism constitutes a key issue of constitutional resilience in our time, the issue of constitutional resilience with regard to the relationship between populist political style and constitutional conventions has been largely overlooked. This article maps the extent to which populism threatens constitutional resilience in democratic systems which rely substantively on constitutional conventions. Bringing together political science and legal theory, we engage in a conceptual analysis of conventions and of populism as a political style. In doing so we seek to explain the perceived tension between the two phenomena. We argue that populism should be conceived as a transgressive political style, which is fundamentally hostile to the notion of unwritten constitutional law or practice. In view of the crucial connection between constitutional conventions and the resilience of the constitutional system, and the vulnerability of conventions as norms of self-restraint (lacking independent enforcement mechanisms), we conclude that the populist political style indeed constitutes a problem of constitutional resilience.

Despite recent advances in the scholarship of history and architectural history, the practice of urban slavery is distinctly understudied in North American archaeology in contrast to plantation archaeologies. This is due largely to the fundamental challenge of investigating urban households, where many individuals of differing social and economic status (free and unfree, Black and white) occupy the same limited space and dispose of their refuse in shared locations, thereby contributing to a highly mixed archaeological record that is difficult—if not impossible—to parse. However, when the researcher pivots to imagining individual entanglements within a shared material world, new interpretations emerge in the noise and dissonance of urban life. This article considers the narratives of three enslaved individuals (two men and one woman) who lived and labored at 87 Church Street in Charleston, South Carolina, during the eighteenth century. Although this is an illuminating approach, traversing archival (archaeological) silences and highlighting individual lives and worlds in the archaeological record demands considerable interpretive caution and care.

Federated learning (FL) is a machine learning technique that distributes model training to multiple clients while allowing clients to keep their data local. Although the technique allows one to break free from data silos keeping data local, to coordinate such distributed training, it requires an orchestrator, usually a central server. Consequently, organisational issues of governance might arise and hinder its adoption in both competitive and collaborative markets for data. In particular, the question of how to govern FL applications is recurring for practitioners. This research commentary addresses this important issue by inductively proposing a layered decision framework to derive organisational archetypes for FL’s governance. The inductive approach is based on an expert workshop and post-workshop interviews with specialists and practitioners, as well as the consideration of real-world applications. Our proposed framework assumes decision-making occurs within a black box that contains three formal layers: data market, infrastructure, and ownership. Our framework allows us to map organisational archetypes ex-ante. We identify two key archetypes: consortia for collaborative markets and in-house deployment for competitive settings. We conclude by providing managerial implications and proposing research directions that are especially relevant to interdisciplinary and cross-sectional disciplines, including organisational and administrative science, information systems research, and engineering.

Increasing recognition of the diverse benefits of human-animal interactions (HAIs) has propelled related studies. Although most of the benefits have been illustrated by academic literature (e.g. journal articles, academic theses, and project reports), the grey literature contributes to a comprehensive understanding of HAIs and offers new perspectives, informing prospective research, practices, and policies. Adapting the Systematic Reviews and Meta-Analyses (PRISMA) approach, this rapid review examined 151 articles covering HAIs from 2016–2022. The univariate analysis results revealed that the sources covered various animal species (e.g. dogs, cats, birds), types of animals (e.g. companion animals, therapy animals, zoo animals), and vulnerable populations (e.g. older adults, people with disabilities). HAIs could be found across different settings, such as households, schools, healthcare facilities, and more. The thematic analysis identified three primary categories associated with HAIs’ benefits in public education: (1) HAIs benefit the well-being of individuals, families, and animals; (2) HAIs promote prosocial behaviours and community development; and (3) HAIs improve disaster preparedness and response. The results highlight the multifaceted positive influences of HAIs on human well-being, animal welfare, and building healthy and resilient communities. Grey literature plays an essential role in knowledge mobilisation through public education, promoting the interconnectedness between human well-being and animal welfare.

Dmitri Gallow has recently proposed an ingenious accuracy-first vindication that our credence should be updated in accordance with conditionalization. This paper extends his idea to cases where we undergo only a partial learning experience. In particular, I attempt to vindicate, in the spirit of accuracy-first epistemology, that when we undergo what is called ‘Jeffrey partial learning’ in this paper, our credences should be updated in accordance with Jeffrey conditionalization, or at the very least, the update should be rigid. In doing so, I propose what I call the ‘Jeffrey-accuracy function.’ This function is not strictly proper and, at first glance, seems to rationalize ill-motivated credence updating. However, this turns out not to be the case.

Word age of acquisition (AoA) influences many aspects of language processing, including reading. However, reading studies of word AoA effects have almost exclusively focused on monolingual young adults, leaving their influence in other age and language groups little understood. Here, we investigated how age (childhood, young adulthood) and language background (monolingual, bilingual) influence word AoA effects during first-language (L1) and second-language (L2) reading. Using eye-tracking, we observed larger L1 word AoA effects in children versus adults (across both language backgrounds). Moreover, we observed larger L2 versus L1 word AoA effects in bilinguals (across both ages), with some evidence of heightened effects in bilingual adults (for late-stage reading only). Taken together, our findings suggest that word AoA exerts a stronger influence on reading during conditions of reduced lexical entrenchment, offering critical insights into how both developing and bilingual readers acquire and maintain word representations across their known languages.

Ionizing radiation is known to have a destructive effect on biology by causing damage to DNA, cells and the production of reactive oxygen species, among other things. While direct exposure to high-radiation dose is indeed not favorable for biological activity, ionizing radiation can and, in some cases, is known to produce a number of biologically useful products. One such mechanism is the production of biologically useful products via charged particle-induced radiolysis. Energetic charged particles interact with the surfaces of planetary objects such as Mars, Europa and Enceladus without much shielding from their rarefied atmospheres. Depending on the energy of said particles, they can penetrate several meters deep below the surface and initiate a number of chemical reactions along the way. Some of the byproducts are impossible to produce with lower-energy radiation (such as sunlight), opening up new avenues for life to utilize them. The main objective of the manuscript is to explore the concept of a Radiolytic Habitable Zone (RHZ), where the chemistry of galactic cosmic ray-induced radiolysis can be potentially utilized for metabolic activity. We first calculate the energy deposition and the electron production rate using the GEANT4 numerical model, then estimate the current production and possible chemical pathways which could be useful for supporting biological activity on Mars, Europa and Enceladus. The concept of RHZ provides a novel framework for understanding the potential for life in high-radiation environments. By combining energy deposition calculations with the energy requirements of microbial cells, we have defined the RHZ for Mars, Europa and Enceladus. These zones represent the regions where radiolysis-driven energy production is sufficient to sustain microbial metabolism. We find that bacterial cell density is highest in Enceladus, followed by Mars and Europa. We discuss the implications of these mechanisms for the habitability of such objects in the solar system and beyond.

In small-plot experiments, weed scientists have traditionally estimated herbicide efficacy through visual assessments or manual counts with wooden frames—methods that are time-consuming, labor-intensive, and error-prone. This study introduces a novel mobile application (app) powered by convolutional neural networks (CNNs) to automate the evaluation of weed coverage in turfgrass. The mobile app automatically segments input images into 10 by 10 grid cells. A comparative analysis of EfficientNet, MobileNetV3, MobileOne, ResNet, ResNeXt, ShuffleNetV1, and ShuffleNetV2 was conducted to identify weed-infested grid cells and calculate weed coverage in bahiagrass (Paspalum notatum Flueggé), dormant bermudagrass [Cynodon dactylon (L.) Pers.], and perennial ryegrass (Lolium perenne L.). Results showed that EfficientNet and MobileOne outperformed other models in detecting weeds growing in bahiagrass, achieving an F1 score of 0.988. For dormant bermudagrass, ResNet performed best, with an F1 score of 0.996. Additionally, app-based coverage estimates (11%) were highly consistent with manual assessments (11%), showing no significant difference (P = 0.3560). Similarly, ResNeXt achieved the highest F1 score of 0.996 for detecting weeds growing in perennial ryegrass, with app-based and manual coverage estimates also closely aligned at 10% (P = 0.1340). High F1 scores across all turfgrass types demonstrate the models’ ability to accurately replicate manual assessments, which is essential for herbicide efficacy trials requiring precise weed coverage data. Moreover, the time for weed assessment was compared, revealing that manual counting with 10 by 10 wooden frames took an average of 39.25, 37.25, and 42.25 s per instance for bahiagrass, dormant bermudagrass, and perennial ryegrass, respectively, whereas the app-based approach reduced the assessment times to 8.23, 7.75, and 14.96 s, respectively. These results highlight the potential of deep learning–based mobile tools for fast, accurate, scalable weed coverage assessments, enabling efficient herbicide trials and offering labor and cost savings for researchers and turfgrass managers.

We report the detection of a potential quasi-periodic signal with a period of $\sim$2 yr in the blazar ON 246, based on Fermi-LAT ($\gamma$-rays) and ASAS-SN (optical) observations spanning 11.5 yr (MJD 55932–60081). We applied various techniques to investigate periodic signatures in the light curves, including the Lomb-Scargle periodogram (LSP), weighted wavelet Z-transform (WWZ), and REDFIT. The significance of the signals detected in LSP and WWZ was assessed using two independent approaches: Monte Carlo simulations and red noise modelling. Our analysis revealed a dominant peak in the $\gamma$-ray and optical light curves, with a significance level exceeding 3$\sigma$ in both LSP and WWZ, consistently persisting throughout the observation period. Additionally, the REDFIT analysis confirmed the presence of a quasi-periodic signal at $\sim$0.00134 day$^{-1}$ with a 99$\%$ confidence threshold. To explain the observed quasi-periodic variations in $\gamma$-ray and optical emissions, we explored various potential physical mechanisms. Our analysis suggests that the detected periodicity could originate from a supermassive binary black hole (SMBBH) system or the jet-induced orbital motion within such a system. Based on variability characteristics, we estimated the black hole mass of ON 246. The study suggests that the mass lies within the range of approximately $(0.142 - 8.22) \times 10^9$ M$_{\odot}$.

The prominence and significance of research on specific learning differences (SpLDs) in language learning, teaching, assessment, and teacher education have substantially increased in the past ten years, which justifies the need to review the findings of studies conducted in recent years. The growth of the field also requires that the scope of the review is extended to research in the area of L2 assessment and teacher education. In our paper, we first offer a short discussion of different views of disability and inclusion and a succinct summary of the definitions of SpLDs. We then summarize recent research developments in five main areas: (1) the impact of SpLDs on L2 learning and achievement, (2) the identification of SpLDs in multilingual contexts, (3) teaching techniques and programmes in supporting language learners with SpLDs, (4) assessing the second language competence of test-takers with SpLDs, and (5) raising language teachers’ awareness and knowledge of SpLDs.

In our conclusion, we highlight the implications of recent scholarship in this field for language teaching and testing, teacher education, and suggest further research directions.

Since the 1980s, state capacity has been a major explanation for countries leaving the middle-income trap. However, this literature is unable to explain the failed experiences of countries with relatively high state capacity. This was the case of Chile after the unsuccessful enaction of a series of policies in the mid-2010s to upgrade the country’s position in the lithium value chain. To understand this failure, we combine the literature on developmental states and the literature on business power. We use the concept of institutional business power to understand how business actions erode state capacities leading to countries’ persistent inability to leave the middle-income trap. In the case of Chile, despite the relatively high levels of state capacity, previous processes of deregulation and privatization in the country configured a situation favorable to business’ monopolization of information and technical knowledge about lithium production and innovation processes that directly affected the capacity of the state to regulate the sector, let alone implement policies designed to upgrade the industry. The article highlights the need to investigate further the role of not just the state, but of the private sector in either facilitating or blocking value chain upgrading in countries caught in the middle-income trap.

This study, focused on the Czech Republic, examines the influence of ethnic nationalism on the public willingness to accept war refugees from countries with different cultural and religious backgrounds. We present evidence relating to forced migration from Ukraine (predominantly Christian) and from countries with predominantly Muslim populations. The theoretical-conceptual framework for our study encompasses the concepts of ethnicity and historical institutionalism, and the theory of social identity. Our theoretical analysis is strengthened by evidence from structured and semi-structured interviews. We find that ethnic nationalism does contribute in part to public rejection of migrants with different ethnic or religious backgrounds in the Czech Republic, as one of several factors that encourage a perceived ‘us’ versus ‘them’ dichotomy among certain sectors of the Czech population.

The growing reliance of militaries on artificial intelligence (AI) and machine learning (ML) technologies means that private software companies are assuming an increasingly central role in the conception and development of the tools of contemporary warfare. While most of the existing debate on algorithmic warfare has focused on autonomous weapons systems, the rise of AI-enabled software capabilities has largely been neglected. In this article, we examine how developers of AI- and ML-based military decision-support systems visually promote their software products. Building on insights from Critical Security Studies and Science and Technology Studies, we develop the argument that ‘virtual military demonstrations’, as we label this practice, facilitate technology companies’ claim of epistemic authority on the future of war. This allows commercial actors to represent algorithmic warfare as a strategic and moral imperative for the survival of Western democracies. Through detailed studies of virtual demonstrations by Palantir and Anduril, two US-based defence tech companies, we illustrate how algorithmic warfare is visually and discursively represented as a clean, controllable, and precise business, disconnected from the lived experiences of innocent victims and their environments. We conclude that the obfuscation of the realities of warfare in such a way has important implications which warrant further scrutiny.

The superfamily Diplostomoidea Poirier, 1886 is a large, globally distributed group of digeneans characterized by the presence of a unique holdfast organ and parasitic in most major groups of vertebrates (birds, mammals, reptiles, fishes) as definitive hosts. A number of diplostomoideans are associated with diseases in their intermediate and, more rarely, definitive hosts. Prior to this work and upon the recent synonymization of the Brauninidae Wolf, 1903, the Diplostomoidea included 5 families: Bolbocephalodidae Strand, 1935; Cyathocotylidae Mühling, 1896; Diplostomidae Poirier, 1886; Proterodiplostomidae Dubois, 1936; and Strigeidae Railliet, 1919. The separation of these families was based primarily on the structure and shape of prosoma and holdfast organ as well as the presence/absence of cirrus sac and paraprostate. More rarely, distinguishing among families was based on life cycles and types of larval stages, excretory system or even host specificity. However, due to the inconsistent nature of most of morphological and biological characters across the Diplostomoidea and nearly universal lack of agreement on their relative value, the systematic history of the group has been extremely tumultuous, and none of many classification systems proposed over the last 140 years has become broadly accepted or supported by phylogenetic analyses. Extensive molecular phylogenetic studies of the Diplostomoidea in the last 15 years helped to partly improve the classification system and resolve multiple taxonomic questions. Notably, practically all molecular phylogenies have clearly demonstrated non-monophyly of the two largest families, the Diplostomidae and the Strigeidae and indicated it as systematic problem. We provide a brief overview of the history and current state of knowledge of diplostomoidean systematics and re-evaluate the classification system of the Diplostomoidea based on morphological and molecular evidence. We propose changes in the classification system that reconciles the traditional morphological and life cycle data with molecular phylogenies. The major element of the proposed classification system is the synonymization of the families Proterodiplostomidae and Strigeidae with the Diplostomidae as the only feasible way to resolve the problem of consistent non-monophyly of the latter two families and provide stability to the classification system.

Governments are the most frequent interveners at the Supreme Court of Canada (SCC). However, we know little about government interventions, with the last substantive study only providing coverage of Charter cases up to 2007. To update this body of research, we provide an analysis of government interventions across all constitutional cases decided by the SCC between 2013 and 2023. Building upon earlier work by Hennigar (2010) and Radmilovic (2013), our study shows that despite changes to the intervener landscape in the past decade, governments continue to primarily intervene defensively in Charter cases. Importantly, however, our findings reveal complexity in how governments intervene across various constitutional cases, with distinct intervening behaviour in division of power disputes and reference cases.

What does it mean to be a public Catholic institution in Canada? How does this Catholic identity evolve with the secularisation and diversification of society, and with the rising awareness of the complicated legacy of Catholicism and colonisation in Canada? This article explores those questions drawing on document analysis and interviews with staff working in Catholic health care. Taking a legal pluralist approach, it documents how Catholic health-care institutions navigate between transnational canon laws and ethics, and human rights law. Catholic health care is situated in a web of national and transnational legal regimes. We argue that this navigation takes different forms to adapt to societal changes, such as the authorization of Medical Assistance in Dying (MAiD). This article speaks directly to how Christianity continues to play a subtle, but still constant presence in Canadian Catholic hospitals, and debunks tropes that construct relationships between state and religion as one of clear separation.