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As Elizabeth Spelman insists, “the history of woman’s inhumanity to woman is shameful” (Spelman 1991). If experiences of shame often function as a moral hinge between past and future, integrating the past in ways that motivate creative self and social revisioning, then this affective acknowledgment is crucial for social justice in feminist futures. As I argue, it is also made fraught by the specific ways that women experience the intersections of privilege and oppression in relation to shame. This paper provides a close reading of Elizabeth Spelman’s 1991 essay on shame “The feeling of virtue and the virtue of feeling” as a vehicle for outlining a moral and social problem: how displays of racial shame by white women, while ostensibly a mode of moral attentiveness and responsibility, sometimes function to deflect moral responsibility and assert moral privilege. Engaging with scholarship in feminist philosophy and affect theory, this article examines how white women learn to convert shame into displays of power in the form of racial innocence, masochism, and vulnerability. Drawing on the work of Hannah Arendt, I argue that public displays of shame strip its political potential and risk further entrenching this form of unearned moral privilege.
On many topics of common interest, there are multiple scientific experts who are more-or-less equally reliable as far as most laypeople can tell. In such situations, it would generally be a bad idea for those laypeople to form or update their opinions by deferring to the opinions of individual experts; rather, when possible, they should consider the more general distribution of opinions among all the experts. Building on this thought, this paper argues that scientific experts themselves should ideally not simply report their own opinions on topics within their expertise; rather, if possible, they should provide information about expert opinion distributions more generally, for example, by communicating that a majority of their fellow experts take such-and-such position on a topic while the minority has a contrary view – even when they are themselves in the minority. I go on to trace some important implications of this argument, for example, that scientific communities have an epistemic obligation to periodically gather data on expert opinion distributions regarding topics that are of interest to the general public.
Antiparasitic agents are routinely used in companion animal medicine. However, longitudinal evidence describing real-world usage patterns in dogs remains limited. This study aimed to characterise patterns, routes of administration, temporal trends, and seasonal variation in antiparasitic drug use among Golden Retrievers enrolled in a large prospective cohort study in the United States. A descriptive analysis was conducted to summarise antiparasitic usage data from the Morris Animal Foundation’s Golden Retriever Lifetime Study over nine study years (corresponding to years 0 to 8). Percentages with respective 95% CI were used to summarise drug types, therapy combinations, routes of administration, and temporal and seasonal patterns of use. A total of 17,715 antiparasitic use records were analysed. Drug usage pattern was highly concentrated within a limited number of products, with the ivermectin–pyrantel pamoate combination accounting for 23.0% of all recorded use. Other commonly used agents included afoxolaner (9.73%), metronidazole (9.16%), and lufenuron–milbemycin oxime (8.95%). Oral formulations were predominant, representing 65.28% of all administrations. Single-agent therapy accounted for 47.27% of use, while two-drug combination therapy represented 46.65%. The antiparasitic medications spanned multiple pharmacological classes targeting both endo- and ectoparasites, including anthelmintics, ectoparasiticides, and antiprotozoals. Antiparasitic use declined by 1.8% over the study period. We observed a seasonal variation in antiparasitic drug usage, with higher usage during cooler months (winter) and lower use in summer. These findings provide baseline evidence of the burden of endoparasites and ectoparasites in Golden Retriever dogs and highlight the need for stewardship-oriented parasite control strategies in companion animal practice.
This study explores how community-led initiatives known as ‘seeds’ are transforming Ghana’s food systems. These 80 diverse projects tackle challenges such as hunger, poor nutrition, climate change, and poverty. From promoting sustainable farming and fisheries to creating healthier diets and supporting local economies, the seeds show how local innovation can help achieve global goals, such as the Sustainable Development Goals (SDGs). By highlighting these grassroots efforts, the study shows that local actors play a crucial role in building resilient, inclusive, and sustainable food systems, and can inspire broader change by addressing real-world problems in creative and impactful ways.
Technical summary
Food system transformation is essential for achieving the 2030 Agenda, yet top-down policies often overlook the localized, emergent innovations occurring at the community level. This study investigates the potential of ‘seeds’ – locally embedded, small-scale, community-led initiatives – to catalyse transformative shifts towards sustainable and equitable food systems in Ghana. Using a mixed-methods approach, data were collected on 80 food system seeds via online searches, snowball sampling, and community engagement across 11 key study sites. We used a hybrid inductive–deductive coding framework to assign primary and related SDGs to each seed, with four researchers coding after a calibration process to ensure reliability. The seeds contributed to 15 of the 17 SDGs, with a predominant focus on SDG 2 (Zero Hunger), SDG 14 (Life Below Water), and SDG 1 (No Poverty). Analysis indicates that these initiatives move beyond simple project-based interventions by addressing the food–water–energy nexus through decentralized, community-driven pathways. While social and ecological dimensions are frequently prioritized, results highlight significant synergies across goals, demonstrating the capacity of localized seeds to address complex, interconnected food system challenges. This study offers a methodological template to assess the transformative potential of food system seeds, linking grassroots innovation with global sustainability goals.
Social media summary
A study documenting how local innovations are transforming Ghana’s food systems and helping to achieve SDGs.
Social media offers research teams new opportunities for outreach and study recruitment; however, research teams often need guidance and tools on how to use social media to effectively recruit for their clinical trials. To address this gap, the Recruitment Innovation Center (RIC) developed a new, comprehensive toolkit informed by community feedback and extensive RIC experience. The toolkit contains guidance and considerations for using social media to recruit clinical trial participants, including best practices, platform-specific strategies, and customizable templates. This paper details the creation and contents of this new, free resource.
The recent study by Aron et al about lithium deficiency and the onset of Alzheimer’s disease provides a valuable explanatory framework for understanding how very small doses of lithium, delivered via environmental exposure, can exert neuroprotective effects. It also contains results which will need to be reconciled with foundational chemistry and existing evidence and which could be potentially misleading. The suggestion that lithium orotate (LiO) exhibits benefits relative to the more traditionally used lithium carbonate (LiC) requires further scrutiny in light of the following arguments: (a) no study has demonstrated the presence of stable LiO in physiological fluids; (b) acid–base chemistry predicts that LiO will be largely protonated in the stomach, causing it to dissociate and be absorbed as Li+; (c) experimental studies indicate that LiO and LiC have comparable pharmacokinetics after oral administration; and (d) previous research has shown that LiC also has neuroprotective effects, including at very low doses. Disproportionate focus on a specific lithium salt could have safety implications and may distract from answering fundamental questions about the effects of very low doses of lithium. More experiments are needed to provide evidence of a stable LiO complex in physiological fluids before this becomes the main form of lithium in future clinical trials.
Glufosinate is a key postemergence herbicide in U.S. soybean production, particularly where resistance to glyphosate and inhibitors of acetolactate synthase is widespread. A 25-question survey of soybean growers, agronomists, and industry professionals in Arkansas and Wisconsin was conducted in Fall 2022 to characterize glufosinate use patterns, weed management challenges, and stakeholder perceptions. Palmer amaranth was reported as the most problematic weed in Arkansas (97% of respondents), and waterhemp was most frequently reported in Wisconsin (92%). Suspected glyphosate resistance was widely reported (97% in Arkansas, 88% in Wisconsin), and suspected glufosinate resistance was reported by 37% of Arkansas respondents and by 3% of Wisconsin respondents. Eighty-four percent of Arkansas respondents reported integrating glufosinate into their weed management programs, as did 53% of Wisconsin respondents, and most respondents said they used it to target broadleaf weeds ≤15 cm tall. Carrier volumes were 103 to 140 L ha−1 (chosen by 75% of Arkansas respondents), and 150 to 187 L ha−1 (chosen by 86% of respondents from Wisconsin). Arkansas respondents most frequently reported using glufosinate in sequential first and second postemergence applications (62%). In Wisconsin, glufosinate use was reported mostly only as a first postemergence application (37%), followed closely by sequential use in the first and second postemergence applications (34%). Weed size, followed by carrier volume and air temperature, were ranked as the most important factors affecting glufosinate performance. Ammonium sulfate was the most used adjuvant (45% in Arkansas; 67% in Wisconsin), and spray water quality was rarely tested. Frequently reported tank-mix partners included glyphosate and inhibitors of protoporphyrinogen oxidase in Arkansas and synthetic auxins and clethodim in Wisconsin. Extension efforts should emphasize applying glufosinate to small weeds (<10 cm in height), optimizing application technology and spray solution characteristics (nozzle, carrier volume, water quality/adjuvant selection), and spraying under favorable environmental conditions. Improving application consistency can reduce weed escapes and repeat postemergence applications, thereby lowering selection pressure and preserving glufosinate as an important postemergence option.
A numerical study is conducted on a self-propelled flexible plate moving above an array of wall-mounted compliant blades at Reynolds numbers of order 100, designed to mimic flatfish-like locomotion near the vegetation-covered seabed. Compared with a flat rigid wall located at the same vertical distance from the plate, the blade-covered wall enhances the propulsive performance of the plate, yielding a higher propulsive velocity and lower energy consumption per transport distance. This enhancement intensifies as the blade spacing and vertical distance between the plate and the bottom wall decrease, but diminishes when the flapping frequency approaches the natural frequency of the blades due to resonance. By accounting for the asymmetric motion of the plate during the upper and lower half-periods, a universal scaling law ${\textit{Re}}_c\sim ({\textit{Re}}_{f,\delta })^{3/2}$ is identified between the propulsive Reynolds number ${\textit{Re}}_c$ and the corrected flapping Reynolds number ${\textit{Re}}_{f,\delta }$. Under the excitation of the flapping plate, two distinct vibration patterns are identified for the blade array. The first is the flapping-driven mode, which propagates synchronously with the plate’s motion. The second exhibits forward-propagating travelling waves, which are generated by the cooperative underdamped vibrations of downstream blades, and have a phase velocity much faster than the propulsive velocity of the plate. This study may shed light on the design of bio-inspired underwater vehicles and flow sensing techniques.
To characterize qualitative Clock Drawing Test (CDT) error profiles across dementia etiologies and mild cognitive impairment (MCI), and to propose a clinically interpretable six-class framework.
Methods
In a hospital-based study in Kolkata, India, consecutive adults with cognitive impairment completed a free-drawn “ten past ten” CDT. Errors were coded using classical qualitative categories and clock components (face, numbers, hands), then collapsed into six classes: conceptual, stimulus-bound/perseveration, spatial, planning, number-related, and graphic-conceptual. For nonexclusive domains, omnibus Pearson χ² tests summarized error distributions across diagnoses; Cramér’s V quantified effect size.
Results
Participants included Alzheimer’s disease (AD; n = 36), vascular dementia (VaD; n = 16), behavioral variant frontotemporal dementia (bvFTD; n = 9), MCI (n = 19), and other conditions (n = 22). Although 50.0% drew a normal clock face, only 11.8% achieved perfect numbering and 12.7% set the hands correctly. Conceptual errors were most frequent (70.6%), followed by spatial errors (47.1%); neglect and counterclockwise numbering were rare (3.9% each). Error distributions differed by diagnosis for face, numbers, and hands (all p < 0.001; V = 0.4–0.5). The six-class scheme retained a significant distributional association with diagnosis (χ² = 43.365, p = 0.002; V = 0.3): bvFTD showed prominent conceptual and graphic-conceptual failures, AD combined conceptual and spatial errors, MCI emphasized spatial and number-related errors, and VaD was heterogeneous.
Conclusions
Qualitative CDT profiles vary meaningfully across cognitive disorders. This concise six-class framework captures clinically salient patterns, especially in severely degraded drawings, and may complement brief memory screening and digital CDT metrics.
The paper is concerned with maximal subgroups of the ample (better known as topological full) groups of homeomorphisms of totally disconnected compact metrizable topological spaces. We describe all maximal subgroups that are stabilizers of finite sets. Under certain assumptions on the ample group (including minimality), we describe all maximal subgroups that are stabilizers of closed sets or stabilizers of partitions into clopen sets. In particular, our results apply to the ample groups associated with Cantor minimal systems and to some Higman–Thompson groups.
Reactive flows in confined space involve complex flame–wall interaction. This work aims to gain more insights into the physics of the premixed near-wall flame and the wall heat flux as an important engineering relevant quantity. Two different turbulent flame configurations have been studied, including the normal flushing flame and inclined sweeping flame. By introducing the skin friction vector defined second-order tensor, direct numerical simulation (DNS) results of these two configurations show consistently that larger flame curvatures are associated with small friction vorticity magnitude under the influence of the friction vortex pair structure. Correlation of both the flame normal and tangential strain rates with the flame curvature has also been quantified. Alignment of the progress variable gradient with the most compressive eigenvector on the wall is similar to the boundary free behaviour. To characterise the flame alignment structure, especially in the near-wall region, a species alignment index is proposed. Difference in this index suggests a distinct flame alignment structure in different near-wall regions. Building upon these fundamental insights, a predictive model for the wall heat flux is proposed. For the purpose of applicability, realistic turbulent combustion situations need to be taken into account, for instance, flames with finite thickness, complex chemical kinetics, non-negligible near-wall reactions and variable flame orientation relative to the wall. The model is first tested in an one-dimensional laminar flame and then validated against DNS datasets, justifying the model performance with satisfying agreement.