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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.
Educating graduate students aims at making them competent members in a disciplinary community and culture. This chapter identifies PhD student training as a curious process in which instruction and the advancement of science go together. It examines how a PhD student was instructed to tackle a common, though often challenging, problem of science with large datasets: calibrating a new dataset and combining it with data from a different source for analysis. By following this student around over two years as she achieved this goal, the author learnt how she became a competent member in the community and culture of extragalactic astronomy. Conversely, it is possible to gain insights into what makes combining scientific datasets often so challenging. As such, this chapter applies the tactics of Chapter 2 – take a problem of data-intensive science, consider how it is “staffed” in a specific case, and follow its management ethnographically – to another setting. This account serves as a resource for the next two chapters, on uses of diagrams and mundane reasoning in research with large datasets.
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.
This chapter examines data-centric collaborations in the natural sciences as organizational experiments that use diverse resources to order their affairs, often in improvisational ways. For a certain period of exclusive proprietary use, the data that such teams obtain and make is their epistemic and social “stuff” which members use to establish connections and collaborations. Diverse in origin and structure, such data-centric collaborations typically lack features of formal organization, such as organizational charts and legally binding contracts. They often emerge from ties of academic genealogy and friendship. Focusing mostly on MUWAGS, the Multiwavelength Galaxy Survey (pseudonym), an international collaboration of around thirty astronomers, this chapter examines its work of organizing and its resources by witnessing practical reasoning and tracing social accountability. These resources include medial formats, epistemic orders, and a team’s joint orientation to produce a consistent dataset. From there, this chapter identifies elements of a continuum of size and formality in organizing research with large and complex datasets.
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.
In the aftermath of the Second World War, Poland faced immense public health challenges amidst widespread destruction and political transformation. This article explores the largely overlooked medical mission of the Unitarian Service Committee (USC) in Poland, situating it within both humanitarian and geopolitical contexts. Drawing on archival research and press accounts, the study reconstructs the USC’s multifaceted aid efforts, including its Medical Teaching Mission, the establishment of the Piekary Śląskie hospital, and tuberculosis control initiatives. The analysis highlights how the USC combined direct medical assistance with educational outreach, aiming to support long-term recovery. However, operating behind the Iron Curtain, the Committee’s activities were subject to both surveillance and propaganda, revealing the entanglement of health and politics in Cold War Europe. This case offers new insights into the role of non-governmental actors in shaping postwar public health and diplomacy in Eastern Europe.
Bipolar disorders (BD) rank among the most disabling conditions, affecting millions worldwide. Cognitive impairment in BD is linked with brain changes and worse functional outcomes. Obesity and metabolic syndrome (MetSy) are overrepresented in BD and are associated with more pronounced brain structural and cognitive alterations in the general population. Here, we studied for the first time the contribution of metabolic dysfunction to both brain and cognitive alterations in BD.
Methods
We recruited 163 participants (76 individuals with BD, 87 controls). We used principal component analysis (PCA) to derive a composite measure of metabolic health from WHR, BMI, HOMA-IR, HbA1c, TGC, HDL, LDL, systolic, diastolic BP, and to derive a composite cognitive measure from the California Verbal Learning Test and Digit Span. Brain structure was indexed using machine-learning-predicted BrainAGE derived from T1-weighted MRI.
Results
Obesity, hypertension, insulin resistance, and dyslipidemia contributed most strongly to variance in metabolic health in this sample. This MetSy-associated risk cluster predicted higher BrainAGE (β = 0.75 ± 0.29, p = 0.011) and lower cognitive performance (β = −0.19 ± 0.09, p = 0.037), accounting for 30% of the association between BD and higher BrainAGE and 25% of the association between BD and worse cognitive performance. These effects were independent of symptoms, medications, illness course, and duration.
Conclusions
MetSy, particularly obesity, was closely linked with brain/cognitive impairments in BD. While the need for metabolic monitoring should be informed by the diagnosis of BD, screening for MetSy can also help track brain health and cognitive functioning.
The European Union’s Artificial Intelligence Act introduces a novel regulatory category of “unacceptable risk,” prohibiting specific AI practices that are deemed fundamentally incompatible with human rights and ethical principles. While much attention has focused on the regulation of high-risk AI systems, particularly in medical contexts, the AI Act’s outright bans under Article 5 have received far less scrutiny. This paper addresses that gap by examining how these prohibitions apply to healthcare and public health, which are domains defined by rapid technological uptake, structural vulnerability, and ethically sensitive decision-making. Drawing on the European Commission’s 2025 interpretative Guidelines, the paper argues that several health-related AI applications, such as emotion recognition tools, biometric categorisation systems, and technologies that influence or target vulnerable populations, may fall within the scope of the bans. It also shows that the Act’s medical and safety exceptions risk weakening the vulnerability protections that the prohibitions aim to secure. By integrating legal analysis with real-world health examples, the paper offers a framework for interpreting these prohibitions and assesses how they should guide the ethical boundaries of AI in healthcare, within and beyond the European context.
Health technology assessment (HTA) is a multidisciplinary, policy-oriented process designed to inform evidence-based, transparent, and value-based decision making in health systems. Across the Middle East and North Africa (MENA), HTA development remains heterogeneous and unevenly institutionalized. This manuscript reports on a Health Technology Assessment international (HTAi)-led Policy Dialogue designed to identify shared challenges, priorities, and opportunities to strengthen HTA systems across the region.
Methods
Insights were generated through an in-person meeting held in Tunisia in 2025, alongside the HTAi MENA Regional Meeting. The dialogue was complemented by an online survey and a follow-up virtual meeting. Data sources included structured survey responses from experts across twelve countries and qualitative inputs from multi-stakeholder discussions involving policymakers, HTA practitioners, academics, and international organization representatives. Findings were synthesized descriptively to capture perceived challenges, priorities, and expectations for regional and international collaboration.
Results
Participants emphasized HTA’s role in improving resource allocation, transparency, and access to high-value technologies. Key challenges included limited access to high-quality data, workforce capacity constraints, fragmented governance, and weak legal and institutional frameworks. The highest-ranked priorities were establishing formal legal mandates for all actors involved in HTA processes, building technical and system capacity (including institutional governance, processes, and coordination mechanisms), and strengthening health data infrastructure. Strong support emerged for regional cooperation through joint training, shared assessments, and HTA networking, alongside expectations for international organizations to play a catalytic role.
Conclusions
HTA is gaining prominence across MENA, but most countries remain in early phases of institutional development. Progress will require coordinated action on governance, capacity, data systems, and implementation.
Taking Singapore’s Nanyang University (Nantah) as a case study, this article examines Cold War American efforts to reshape higher education in Southeast Asia, and the efforts of local elites to leverage these resources for their own agendas. Best known as the only ‘Chinese’ university outside of mainland China, Taiwan, and Hong Kong, Nantah has been variously critiqued as an institutional home for leftist-student activism and Chinese communal interests in decolonizing Southeast Asia. This article argues that it was also a centrepiece in an American-led political agenda to contain communist China by supporting ‘Free Chinese’ educational facilities in the diaspora. It demonstrates how American policies aimed at supporting Chinese higher education outside of the People’s Republic of China (PRC) encountered the local politics of decolonization in Singapore, producing new educational infrastructures in the region oriented towards American universities. While Nanyang University was initially the locus of American attention in the early Cold War, its strategic significance as a ‘Chinese’ university in Southeast Asia was increasingly sidelined by an assertive Singapore government eager to leverage American resources for its own developmental needs. Arguably, the longer term legacies of this episode can be discerned through Singapore’s centrality in the globalization of American higher education in Asia, and the broader reorienting of intellectual networks and epistemologies in Singapore which endures to the present day.