Repatriation of human remains and associated funerary objects under NAGPRA and the increased use of culturally informed curation practices for sacred, religious, and ceremonial objects are important steps toward restoring control over cultural patrimony to Native Nations in the United States. Many museums holding Indigenous belongings have begun a collaborative care approach involving Indigenous community voices and improving access to collections. However, this framework has not been applied to many animal remains curated in American archaeology museums, which remain broadly beyond the care or administrative purview of Native people. Because many Indigenous worldviews do not hold a clear separation between the human and animal spheres, common practices applied to animal remains are not congruent with the idea of respectful or culturally informed care. Here we outline steps to shift the treatment of animals through the application of Indigenous knowledge to museum collections.

Machine learning (ML) techniques have emerged as a powerful tool for predicting weather and climate systems. However, much of the progress to date focuses on predicting the short-term evolution of the atmosphere. Here, we look at the potential for ML methodology to predict the evolution of the ocean. The presence of land in the domain is a key difference between ocean modeling and previous work looking at atmospheric modeling. Here, we look to train a convolutional neural network (CNN) to emulate a process-based General Circulation Model (GCM) of the ocean, in a configuration which contains land. We assess performance on predictions over the entire domain and near to the land (coastal points). Our results show that the CNN replicates the underlying GCM well when assessed over the entire domain. RMS errors over the test dataset are low in comparison to the signal being predicted, and the CNN model gives an order of magnitude improvement over a persistence forecast. When we partition the domain into near land and the ocean interior and assess performance over these two regions, we see that the model performs notably worse over the near land region. Near land, RMS scores are comparable to those from a simple persistence forecast. Our results indicate that ocean interaction with land is something the network struggles with and highlight that this is may be an area where advanced ML techniques specifically designed for, or adapted for, the geosciences could bring further benefits.

Rulemaking in digital trade is proceeding apace. Many preferential trade agreements contain dedicated e-commerce or digital trade chapters and some states have entered into stand-alone digital economy agreements. This article seeks to establish whether, and to what extent, normative change is occurring in digital trade agreements, the nature of any changes, and identify which states are acting as norm entrepreneurs. We employ a new method of legal coding, systematically comparing the nature and prescriptiveness of digital provisions in 12 trade agreements concluded between 2019 and 2023. We find evidence of substantial policy innovation, and identify Singapore as the key norm entrepreneur. A new wave of ‘Singapore-led’ agreements substantially expands the scope of digital trade, to cover areas such as digital identities, e-invoicing and e-payments, the governance of AI, and regulation of new digital technologies. Commitments are typically couched as soft rather than hard law, reflecting the nascent stages of rulemaking. Norm entrepreneurship on the part of Singapore and its allies reflects a desire to position themselves as ‘digital hubs’ in the global economy, spur rulemaking in areas where innovation is ahead of regulation, and promote digital interconnectivity at time of regulatory divergence and geopolitical rivalry.

Almaatouq et al. propose an integrative experiment design space combined with large samples for scientific advancement. We argue recent innovative designs combining closed-loop experiment designs and Bayesian optimisation allow for integrative experiments at an individual level during a single session, circumventing the necessity for large samples. This method can be applied across disciplines, including developmental and clinical research.

In July 2021, Public Health Wales received two notifications of salmonella gastroenteritis. Both cases has attended the same barbecue to celebrate Eid al–Adha, two days earlier. Additional cases attending the same barbecue were found and an outbreak investigation was initiated. The barbecue was attended by a North African community’s social network. On same day, smaller lunches were held in three homes in the social network. Many people attended both a lunch and the barbecue. Cases were defined as someone with an epidemiological link to the barbecue and/or lunches with diarrhoea and/or vomiting with date of onset following these events. We undertook a cohort study of 36 people attending the barbecue and/or lunch, and a nested case-control study using Firth logistic regression. A communication campaign, sensitive towards different cultural practices, was developed in collaboration with the affected community. Consumption of a traditional raw liver dish, ‘marrara’, at the barbecue was the likely vehicle for infection (Firth logistic regression, aOR: 49.99, 95%CI 1.71–1461.54, p = 0.02). Meat and offal came from two local butchers (same supplier) and samples yielded identical whole genome sequences as cases. Future outbreak investigations should be relevant to the community affected by considering dishes beyond those found in routine questionnaires.

In this article we adopt a political economic lens to analyse the revival of the concept of ecocide in present international legal scholarship and practice. The current campaign to codify the crime of ecocide under international criminal law represents the epitome of a problem-solving approach, which conceives of the law as external to society and as a corrective to its evils. Yet, a large body of critical literature has drawn attention to the constitutive role of international law and to the problems with its depoliticized approach when it comes to tackling global injustices. We build upon this diverse scholarship to illuminate how the technical, acontextual, and ahistorical legal debate on the codification of ecocide ends up normalizing the violent structures of extractive capitalism and its hierarchies. Further, we situate the proposed crime within the wider context of how international law regulates and constitutes the natural world. Drawing on critiques of sustainable development and of business and human rights discourse, we argue that the ‘imbroglio’ of ecocide, in its current legal definition, lies in presenting ecological preservation and devastation as simultaneously legitimate aims. The article ultimately raises the question of the role of international law in progressive political agendas, a question that could not be more pressing in times of entangled socio-ecological-economic disruptions.

Documenting the intentional structuring of space by hunter-gatherers can be challenging, especially in complex cave contexts. One approach is the spatial analysis of discard patterns. Here, the authors consider the spatial distribution of faunal remains from the Lower Magdalenian Level 115 in El Mirón Cave, Cantabria, to assess a possible structuring function for an unusual alignment of rocks. Although it is impossible to determine whether the alignment was intentionally constructed, differences in the distributions of taxa and in specimen sizes on different sides of this feature suggest that it played a role in structuring the living space of the cave's inhabitants.

High-quality evidence from prospective longitudinal studies in humans is essential to testing hypotheses related to the developmental origins of health and disease. In this paper, the authors draw upon their own experiences leading birth cohorts with longitudinal follow-up into adulthood to describe specific challenges and lessons learned. Challenges are substantial and grow over time. Long-term funding is essential for study operations and critical to retaining study staff, who develop relationships with participants and hold important institutional knowledge and technical skill sets. To maintain contact, we recommend that cohorts apply multiple strategies for tracking and obtain as much high-quality contact information as possible before the child’s 18th birthday. To maximize engagement, we suggest that cohorts offer flexibility in visit timing, length, location, frequency, and type. Data collection may entail multiple modalities, even at a single collection timepoint, including measures that are self-reported, research-measured, and administrative with a mix of remote and in-person collection. Many topics highly relevant for adolescent and young adult health and well-being are considered to be private in nature, and their assessment requires sensitivity. To motivate ongoing participation, cohorts must work to understand participant barriers and motivators, share scientific findings, and provide appropriate compensation for participation. It is essential for cohorts to strive for broad representation including individuals from higher risk populations, not only among the participants but also the staff. Successful longitudinal follow-up of a study population ultimately requires flexibility, adaptability, appropriate incentives, and opportunities for feedback from participants.

This article builds on a close palaeographical, liturgical and musicological reading of a single Old Hispanic manuscript (Santo Domingo de Silos, Biblioteca del Monasterio MS 6) to draw conclusions about scriptorium size, working practices and scribal mobility in early medieval Iberia. We identify eight music scribes who worked in four distinct layers of scribal engagement with the manuscript. These scribes used three different notational styles, and draw on elements of both the León and Rioja melodic dialects. In this manuscript, León notation is used to notate Rioja dialect; Rioja notation can be used to notate León dialect. The notational styles and melodic dialects tell us that different groups of scribes had distinct cultural identities and were likely working across two or three institutions, and at different times. Some scribes specialised in particular solo genres, as we explore, suggesting strongly that some music scribes were also trained as solo singers.

There has been much recent interest in developing data-driven models for weather and climate predictions. However, there are open questions regarding their generalizability and robustness, highlighting a need to better understand how they make their predictions. In particular, it is important to understand whether data-driven models learn the underlying physics of the system against which they are trained, or simply identify statistical patterns without any clear link to the underlying physics. In this paper, we describe a sensitivity analysis of a regression-based model of ocean temperature, trained against simulations from a 3D ocean model setup in a very simple configuration. We show that the regressor heavily bases its forecasts on, and is dependent on, variables known to be key to the physics such as currents and density. By contrast, the regressor does not make heavy use of inputs such as location, which have limited direct physical impacts. The model requires nonlinear interactions between inputs in order to show any meaningful skill—in line with the highly nonlinear dynamics of the ocean. Further analysis interprets the ways certain variables are used by the regression model. We see that information about the vertical profile of the water column reduces errors in regions of convective activity, and information about the currents reduces errors in regions dominated by advective processes. Our results demonstrate that even a simple regression model is capable of learning much of the physics of the system being modeled. We expect that a similar sensitivity analysis could be usefully applied to more complex ocean configurations.

There is a need for the field of global constitutionalism to consider a wider array of voices, such as women’s voices and perspectives from the Global South. Here, I argue that global constitutionalism must pay attention not only to a wider array of human perspectives, but also to non-human perspectives and to different understandings of what the law is and can be. Evaluating how international law categorizes the environment and non-human animals as things or objects to be exploited for human needs, I argue that posthuman feminism provides an alternative epistemic frame for rethinking both global constitutionalism and international law.

Co-regulation of physiological arousal within the caregiver–child dyad precedes later self-regulation within the individual. Despite the importance of unimpaired self-regulatory development for later adjustment outcomes, little is understood about how early co-regulatory processes can become dysregulated during early life. Aspects of caregiver behavior, such as patterns of anxious speech, may be one factor influencing infant arousal dysregulation. To address this, we made day-long, naturalistic biobehavioral recordings in home settings in caregiver–infant dyads using wearable autonomic devices and miniature microphones. We examined the association between arousal, vocalization intensity, and caregiver anxiety. We found that moments of high physiological arousal in infants were more likely to be accompanied by high caregiver arousal when caregivers had high self-reported trait anxiety. Anxious caregivers were also more likely to vocalize intensely at states of high arousal and produce intense vocalizations that occurred in clusters. High-intensity vocalizations were associated with more sustained increases in autonomic arousal for both anxious caregivers and their infants. Findings indicate that caregiver vocal behavior differs in anxious parents, cooccurs with dyadic arousal dysregulation, and could contribute to physiological arousal transmission. Implications for caregiver vocalization as an intervention target are discussed.