Since 2018, the Chicory Revitalization Project (CRP) has used vernacular poetry published in Baltimore’s Chicory magazine (1966–1983) as the centerpiece of a public humanities project. Chicory existed at the intersection of the liberalism of the War on Poverty, which funded it, and the radical esthetics of the Black Arts Movement, which inspired it. After digitizing the magazine, the CRP has used Chicory as the basis of poetry workshops, public events, a traveling exhibition, and a new magazine. Through our work, we have come to see the vernacular poetry in Chicory as emotional history and the basis for intergenerational dialogue in the present. More accessible than canonical poetry, vernacular poetry reflects its historical moment through emotion. Building on this emotional connection, we encourage young writers and activists in Baltimore to engage in intergenerational dialogue with the poems and project stakeholders. When we read, interpret, and respond to poems written in the same place decades apart, an essentially civic question arises: What has changed or not? What is the role of place-based art in social justice?

What made a sovereign, and a messianic one at that? Such questions were repeatedly posed in the sixteenth century, when vigorous new imperialisms compelled the articulation of grand visions of universal rule across Eurasia. In the Islamic world, now bereft of a living Abbasid caliph to serve as a touchstone of sovereignty and ruled by Turkic dynasties seeking to emulate Mongol and Timurid patterns of sacred kingship, the answers to these questions were articulated in ad hoc and heterodox ways. Indeed, there is now increased appreciation of the fact that the history of Muslim sacred kingship in the lead up to the Islamic millennium (ca. 1591–92) was one of occultist experimentation, messianic fervor, and charismatic demonstrations of sacred power, almost as much as it was one of state consolidation and canonization of the law. But where recent studies have shed light on how astral conjunctions, heavenly constellations, and the cosmic letters of the Arabic alphabet constituted the theoretical desiderata of Ottoman sacral kingship, they have tended to eschew royal spectacle and performance in favor of close readings of texts of mystical-occultist political theory. This study offers a close reading of a pyrotechnical performance staged in front of Ottoman sultan Murād III in 1582. Through drawing productive comparisons and connections with a similar, near-contemporaneous pyrotechnical performance staged in early modern Europe for the Holy Roman Emperor, it will argue for courtly pyrotechnics as a means of communicating the “wholly other” nature of the sovereign’s body at times of great cosmic import.

Over the past few decades, understandings of cuisine in the Maya area have been radically amplified with the use of new techniques. Some methods offer the opportunity to directly connect artifacts and features with plant foods. The recovery of microscopic food residues from sediments, artifacts, and human teeth has revealed not only a broad list of ingredients but a wide array of practices and recipes. Here, we draw on our previous paleoethnobotanical research across the Maya Lowlands to develop an understanding of Classic-period cuisines, integrating new evidence from the Southern Lowlands.

We consider the emergence of elite foodways and how elite gastronomic practices factored into broader political maneuvers and private performances. We also tentatively suggest a taxonomy of local traditions that did not conform to a strict elite “grammar.” By addressing commonalities and departures from a core and canonic elite cuisine, we highlight how local elite expressions reified culinary norms but also manifested fluidity and flexibility in culinary practice. Paralleling work with other types of elite artifact assemblages, we illuminate how privileged actors drew on broader cultural logics to make their cuisines intelligible, yet also locally improvised in significant ways.

Against a backdrop of rapidly expanding health artificial intelligence (AI) development, this paper examines how the European Union’s (EU) stringent digital regulations may incentivise the outsourcing of personal health data collection to low- and middle-income countries (LMICs), fuelling a new form of AI ethics dumping. Drawing on parallels with the historical offshoring of clinical trials, we argue that current EU instruments, such as the General Data Protection Regulation (GDPR), Artificial Intelligence Act (AI Act) and Medical Devices Regulation, impose robust internal safeguards but do not prevent the use of health data collected unethically beyond EU borders. This regulatory gap enables data colonialism, whereby commercial actors exploit weaker legal environments abroad without equitable benefit-sharing. Building on earlier EU responses to ethics dumping in clinical trials, we propose legal and policy pathways to prevent similar harms in the context of AI.

This article explores the enactment of the Civil Wrongs Ordinance in Mandate Palestine in order to question the utility of “Anglicization” as a historical lens, and to suggest that it tends to crowd out more helpful framings, in particular those involving distributive or class motivations and effects. The Ordinance has been portrayed primarily as an instance of the codification of the common law of torts and its import to Palestine. Without denying the Englishness of the Ordinance, this article demonstrates that it did not codify the common law of tort but went considerably beyond it in reforming Palestine’s liability regime. It further argues that the “Anglicization” framing obscures more than it illuminates, missing the massive redistribution of risk, costs, liability, and welfare that resulted from the change in Palestine’s tort law. The study also complicates the commonly accepted chronology of the development of compensation for injuries in the common law world. In Palestine, English-style tort law was the product of progressive reform, designed to overcome the shortcomings of the preceding regime of workers’ compensation schemes. The significance of Anglicized tort law in this jurisdiction was thus very different, in some ways the polar opposite, of that in other, better-known contexts.

Exponential growth in scientific literature has heightened the demand for efficient evidence-based synthesis, driving the rise of the field of automated meta-analysis (AMA) powered by natural language processing and machine learning. This PRISMA systematic review introduces a structured framework for assessing the current state of AMA, based on screening 13,216 papers (2006–2024) and analyzing 61 studies across diverse domains. Findings reveal a predominant focus on automating data processing (52.5%), such as extraction and statistical modeling, while only 16.4% address advanced synthesis stages. Just one study (approximately 2%) explored preliminary full-process automation, highlighting a critical gap that limits AMA’s capacity for comprehensive synthesis. Despite recent breakthroughs in large language models and advanced AI, their integration into statistical modeling and higher-order synthesis, such as heterogeneity assessment and bias evaluation, remains underdeveloped. This has constrained AMA’s potential for fully autonomous meta-analysis (MA). From our dataset spanning medical (67.2%) and non-medical (32.8%) applications, we found that AMA has exhibited distinct implementation patterns and varying degrees of effectiveness in actually improving efficiency, scalability, and reproducibility. While automation has enhanced specific meta-analytic tasks, achieving seamless, end-to-end automation remains an open challenge. As AI systems advance in reasoning and contextual understanding, addressing these gaps is now imperative. Future efforts must focus on bridging automation across all MA stages, refining interpretability, and ensuring methodological robustness to fully realize AMA’s potential for scalable, domain-agnostic synthesis.

Random-effects meta-analysis is a widely applied methodology to synthesize research findings of studies related to a specific scientific question. Besides estimating the mean effect, an important aim of the meta-analysis is to summarize the heterogeneity, that is, the variation in the underlying effects caused by the differences in study circumstances. The prediction interval is frequently used for this purpose: a 95% prediction interval contains the true effect of a similar new study in 95% of the cases when it is constructed, or in other words, it covers 95% of the true effects distribution on average in repeated sampling. In this article, after providing a clear mathematical background, we present an extensive simulation investigating the performance of all frequentist prediction interval methods published to date. The work focuses on the distribution of the coverage probabilities and how these distributions change depending on the amount of heterogeneity and the number of involved studies. Although the single requirement that a prediction interval has to fulfill is to keep a nominal coverage probability on average, we demonstrate why the distribution of coverages should not be disregarded. We show that for meta-analyses with small number of studies, this distribution has an unideal, asymmetric shape. We argue that assessing only the mean coverage can easily lead to misunderstanding and misinterpretation. The length of the intervals and the robustness of the methods concerning the non-normality of the true effects are also investigated.

In this paper, we advocate for the analysis of lexical variation being central to variationist sociolinguistics. We demonstrate that lexical variation is systematic and argue that this systematicity must be accounted for by a comprehensive variationist theory that explains the general causes and mechanisms of language variation and change. We present three empirical studies, which focus on lexical variation in Anglo-Cornish, British Sign Language, and online American English. These studies differ greatly in terms of their methods and results, but each reaffirms that lexis can be studied rigorously and informatively within the variationist paradigm, extending our understanding of language variation and change.

This letter reviews public communication efforts addressing glacial loss from 1958 to 2025, tracing a trajectory from early educational films to contemporary ritual performances. It examines how documentaries, visual media, fiction and immersive technologies have sought to translate cryospheric decline into emotionally resonant narratives that inform and inspire climate action. Particular attention is given to the recent rise of performative and ritual practices, including glacier funerals and the Global Glacier Casualty List, which commemorate disappearing glaciers while fostering affective engagement and ethical reflection. The authors argue that interdisciplinary collaborations among scientists, artists and communities remain vital for amplifying public awareness and catalyzing environmental response.

I give a brief overview of my book, Transparency and Reflection (Oxford 2024), to introduce the author-meets-critics symposium to follow.

The Unitary Dual Problem is one of the most important open problems in mathematics: classify the irreducible unitary representations of a given group. It is known for a real reductive Lie group that $A_{\mathfrak {q}}(\lambda )$ modules are unitary and that any unitarizable Harish-Chandra module of strongly regular infinitesimal character is isomorphic to an $A_{\mathfrak {q}}(\lambda )$. Thus, it is of interest to study representations of singular infinitesimal character. For a compact real form and any alcove of the form $w(-\lambda + \underline {A}_\circ ),$ where $\lambda $ is dominant (possibly singular) and $\underline {A}_\circ $ is the dominant fundamental alcove, the signature character of the canonical invariant Hermitian form on the irreducible Verma module of infinitesimal character in that alcove is the “negative” of a Hall–Littlewood polynomial summand at $q=-1$ times a version of the Weyl denominator. (Signature characters for other real forms and alcoves of other forms may also be expressed using Hall–Littlewood polynomial summands.) Such formulas give hope that the Unitary Dual Problem is tractable in the singular case.

We revisit the question of how to include parameter uncertainty in univariate parametric models of losses and loss ratios. We first review the statistical theory for including parameter uncertainty based on right Haar priors (RHPs), which applies to many commonly used models. In this theory, the prior is chosen in such a way as to ensure matching between predicted probabilities and the relative frequencies of future outcomes in repeated tests. This property is known as reliability, or calibration. We then test priors for including parameter uncertainty in a number of models not covered by RHP theory. For these models, we find priors that generate predictions that are more reliable than predictions based on maximum likelihood, although they are not perfectly reliable. We discuss numerical schemes that can be used to generate Bayesian predictions, including a novel use of asymptotic expansions, and we include an example in which we show the impact of including parameter uncertainty in the modeling of extreme hurricane losses. The tail loss estimates show material increases due to the inclusion of parameter uncertainty. Finally, we describe a new software library that makes it straightforward to apply the methods we describe.

Traditionally, many meat demand analyses have used publicly available data amassed by the U.S. Department of Agriculture (USDA) and the Bureau of Labor Statistics (BLS). Circana retail point-of-sale scanner data offer an alternative to these publicly available data sources. Scanner data allow for quantity-weighting retail prices to account for increased purchases at lower prices due to sales and promotions. We find that quantity-weighted scanner-based beef and pork prices are lower than those reported by USDA, whereas quantity-weighted chicken prices are higher. Rotterdam demand models are estimated using both publicly available and scanner data sources. Own- and cross-price elasticities estimated using scanner data are greater in magnitude than those estimated using publicly available data, suggesting meat consumers may be more price sensitive than indicated by elasticity estimates from publicly available data sources. Scanner data insights are further explored by estimating demand for meat products with organic or natural claims. Demand elasticities for these differentiated meat products are more elastic than those for meat products without such claims, highlighting a greater amount of consumer price sensitivity when purchasing such products.

Water hyacinth (Pontederia crassipes Mart.) is a free-floating aquatic plant native to South America that has spread to nearly 50 countries, becoming one of the world’s most invasive aquatic weeds. In Florida, the biocontrol agents Neochetina eichhorniae and Neochetina bruchi were released in 1970s, while Megamelus scutellaris was released in 2010. Assessing the impact of these biocontrol agents is crucial in evaluating efficacy, distribution, and overall progress in management efforts. The traditional survey and monitoring methods used to evaluate the impact of biocontrol present numerous challenges in data acquisition, especially in remote areas and aquatic habitats. This study aimed to detect damage caused by Neochetina spp. and M. scutellaris on P. crassipes using hyperspectral remote sensing. Plants were exposed to varying levels of Neochetina spp. and M. scutellaris herbivory for 2 and 4 wk under laboratory conditions. After the exposure period, the plants were scanned using a visible and near-infrared hyperspectral imaging system. Two classification algorithms, partial least-squares discriminant analysis (PLS-DA) and support vector machine (SVM) were employed for classification. SVM achieved high classification accuracy at both low and high damage levels, with overall training and validation accuracies of 84.9% and 78.79%, respectively, while PLS-DA only achieved high classification accuracy at high damage levels, with overall training and validation accuracies of 56.3% and 60.38%. Based on the observed performance metrics, both algorithms demonstrated improved classification accuracy as damage increased over time. The results indicated that hyperspectral remote sensing can be used to monitor and assess biocontrol agents damage on P. crassipes.

In this article I discuss the issue of place in the creation of decolonised historiography and argue that the location from where a historian produces historiography matters in terms of both conceptual and ideological influences as well as in regards to material circumstances. Making use of a case-study on the UNESCO General History of Africa Project (1964-1998), I bring postcolonial critique on the conceptual nature of academic history writing into conversation with a study of the scholarly practice of the UNESCO project to show that conceptual critique has its limits if it does not take material circumstances into consideration. Political decolonisation in Africa was connected to history writing, thereby blending conceptual and material considerations. Secondly, I look at some of the discussions that were ongoing within the UNESCO project to show that the historians working on it discussed these issues amongst themselves and were aware of critique levelled against them. In doing so I argue that decolonisation of knowledge production as a result of becoming politically independent is a multivarious and ongoing process which has to take into account all these different elements.

Antimicrobial resistance is one of the biggest global health threats, demanding urgent action. However, the threat of AMR and the ability to respond to it are far from evenly distributed. In many parts of the global South, where infectious diseases are more common, healthcare systems are weaker, and the social conditions that shape health are more precarious, the effects of AMR are felt more acutely. Because AMR arises within these unequal conditions, rapid action alone is insufficient; attention to how costs and benefits are distributed, who is prioritised, and whose voices are heard is essential to ensure that efforts do not inadvertently deepen existing inequalities. Hence, as the world prepares to tackle this “complex wicked problem,” it needs to ensure that we not only make a quick transition but also a just one. The first step in ensuring a just AMR transition is examining the fairness of our current strategies. This study critically reviews the National Action Plans of the countries in the WHO Western Pacific Region to examine the extent to which ideas of justice are considered. Findings reveal that there are limited considerations for how the burden and benefits of actions are shared; decision-making is dominated by external and national actors within human health. Access to antibiotics is restricted across the spectrum without adequately expanding and strengthening alternatives. As NAPs undergo revision, there is a need to more consciously and explicitly integrate considerations of justice and equity to avoid unintended harm and ensure effective outcomes.

The aim of this study was to investigate the neurochemical differences between borderline personality disorder (BPD) and antisocial personality disorder (ASPD) using proton magnetic resonance spectroscopy (¹H-MRS) in order to explore these disorders at a neurobiological level. In this cross-sectional study, 60 individuals with BPD and 60 individuals with ASPD participated. ¹H-MRS was performed using a Discovery MR 750 Magnetic Resonance Imaging (MRI) scanner with a 3.0 Tesla field strength to measure the levels of the metabolites GABA/Cr, N-acetylaspartate (NAA)/Cr, and glutamate (Glu)/Cr in the left anterior cingulate cortex (ACC) and the left orbitofrontal cortex (OFC) of the brain. The findings indicated that concentrations of GABA/Cr and Glu/Cr in the OFC were significantly higher in BPD patients compared to those with ASPD. In the ACC, GABA/Cr levels were elevated and NAA/Cr levels were reduced in the BPD group relative to the ASPD group. No significant differences were observed in Glu/Cr concentrations in the ACC or in NAA/Cr concentrations in the OFC. This study demonstrated significant neurochemical differences between BPD and ASPD in the ACC and OFC regions. These findings may enhance our understanding of the underlying neural mechanisms of these disorders and support the development of more targeted and effective therapeutic approaches.

Understanding weed community structure is essential for designing sustainable integrated weed management (IWM) strategies in perennial fruit systems. This study aimed to characterize the floristic composition, abundance, and spatial structure of weed communities in jackfruit (Artocarpus heterophyllus Lam.) orchards across Vinh Long Province, Vietnam. Field surveys were conducted during the main rainy season of 2024 using systematic quadrat sampling across multiple agroecological zones. A total of 35 weed species in 18 families were recorded, with Poaceae being the most dominant family (10 species, 28.6%), followed by Asteraceae and Cyperaceae (4 species, 11.4%). Quantitative metrics including density, mean field density (MFD), relative MFD, cover, and multiplied dominance ratio (MDR) identified a consistent group of dominant species: Mexican primrose-willow [Ludwigia octovalvis (Jacq.) P.H. Raven], billygoat-weed [Ageratum conyzoides L.], and carpet grass [Axonopus compressus (Sw.) P. Beauv.], while sedges such as five-angled fimbristylis [Fimbristylis quinquangularis (Vahl) Kunth] also contributed significantly. Hygrophilous species such as shiny bush [Peperomia pellucida (L.) Kunth], centella [Centella asiatica (L.) Urb.], and Ceylon pouzolzia [Pouzolzia zeylanica (L.) Benn.] showed high mean occurrence field density (MOFD), whereas A. conyzoides and L. octovalvis dominated relative MFD, indicating adaptation to high-light environments. Diversity indices (Margalef’s richness, Shannon’s H′, Pielou’s evenness, and Simpson’s dominance) differed modestly among agroecological regions. Ordination analysis grouped species along a gradient primarily associated with density and cover. Similarity indices (Jaccard and Sørensen) were uniformly high (mostly >0.75), suggesting strong species overlap between regions. Notably, community composition varied across orchards, with some orchards exhibiting lower species mixing than others. Weedy rice (Oryza sativa f. spontanea) was detected but was relatively infrequent. These findings provide a quantitative baseline for designing IWM strategies in perennial fruit systems. Specifically, the results support a transition away from routine herbicide use toward ecologically based practices such as mowing before flowering and selective suppression of high-importance weeds, tailored by orchard age and site conditions.