The Romans were among the first societies to extensively exploit fish resources, establishing large-scale salting and preservation plants where small pelagic fish were fermented to produce sauces such as garum. Here, the authors demonstrate that, despite being crushed and exposed to acidic conditions, usable DNA can be recovered from ichthyological residues at the bottom of fish-salting vats. At third-century AD Adro Vello (O Grove), Galicia, they confirm the use of European sardines (Sardina pilchardus) and move beyond morphology to explore population range and admixture and reveal the potential of this overlooked archaeological resource.

Notre société segmentée par l’âge offre peu de possibilités d’interactions intergénérationnelles authentiques. Cela contribue aux stéréotypes et préjugés envers les personnes de tous âges, particulièrement les adultes aînés. Pour favoriser une société plus inclusive et lutter contre l’âgisme, un changement de paradigme sociétal devient nécessaire. À partir d’une recherche basée sur la conception et l’apprentissage intergénérationnel, nous avons cherché à mieux caractériser ces apprentissages afin de développer des formations spécifiques pour les appuyer. Basé sur un questionnaire préliminaire (n=79), nous avons conçu un atelier pilote (français/anglais) avec huit adultes aînées et huit jeunes adultes au cours duquel les participants ont dû réaliser en binôme une vidéo sur TikTok. Nos résultats indiquent que l’apprentissage intergénérationnel doit se fonder sur une pédagogie active, les activités et les objectifs pédagogiques doivent être multiples pour être réalisées en binômes intergénérationnels, le format doit permettre de développer une relation de confiance et l’évaluation doit être personnelle.

Sustainable agricultural practices have become increasingly important due to growing environmental concerns and the urgent need to mitigate the climate crisis. Digital agriculture, through advanced data analysis frameworks, holds promise for promoting these practices. Pesticides are a common tool in agricultural pest control, which are key in ensuring food security but also significantly contribute to the climate crisis. To combat this, Integrated Pest Management (IPM) stands as a climate-smart alternative. We propose a causal and explainable framework for enhancing digital agriculture, using pest management and its sustainable alternative, IPM, as a key example to highlight the contributions of causality and explainability. Despite its potential, IPM faces low adoption rates due to farmers’ skepticism about its effectiveness. To address this challenge, we introduce an advanced data analysis framework tailored to enhance IPM adoption. Our framework provides (i) robust pest population predictions across diverse environments with invariant and causal learning, (ii) explainable pest presence predictions using transparent models, (iii) actionable advice through counterfactual explanations for in-season IPM interventions, (iv) field-specific treatment effect estimations, and (v) assessments of the effectiveness of our advice using causal inference. By incorporating these features, our study illustrates the potential of causality and explainability concepts to enhance digital agriculture regarding promoting climate-smart and sustainable agricultural practices, focusing on the specific case of pest management. In this case, our framework aims to alleviate skepticism and encourage wider adoption of IPM practices among policymakers, agricultural consultants, and farmers.

Objectives/Goals: To evaluate the impact of social determinants of health (SDOH), specifically socioeconomic status and medical insurance coverage, on access to mental health services for adults aged 60 and older served by Federally Qualified Health Centers (FQHCs) in Puerto Rico. Methods/Study Population: A secondary retrospective analysis of electronic health records from FQHCs in Puerto Rico will be conducted to examine the relationship between SDOH needs and mental health service utilization among adults aged 60 years and older receiving primary care. SDOH data will be collected using the PRAPARE® tool, assessing factors such as socioeconomic status, insurance coverage, and emotional support, with a focus on identifying unmet needs. Multivariable and logistic regression models, using Stata v.17, will be employed to evaluate correlations between these SDOH factors and mental health service utilization, adjusting for age, gender, and mental health conditions. This analysis aims to quantify the impact of SDOH on access to mental health services and elucidate key barriers to care for older adults in Puerto Rico. Results/Anticipated Results: We anticipate that lower socioeconomic status, lack of supplemental insurance, and inadequate family support will be strongly associated with the underutilization of mental health services among older adults in Puerto Rico. These disparities are expected to be more pronounced in individuals with limited income, weaker family networks, leading to significant gaps in access to necessary mental health care. Barriers such as healthcare insecurity, financial hardship, and fragmented support systems will likely emerge as major obstacles. By including patients from both rural and urban regions, the study will capture the distinct challenges each population faces, enhancing the contextual relevance of the findings to broader populations, ultimately informing policy and developing intervention strategies. Discussion/Significance of Impact: The findings will provide crucial insights for developing targeted interventions to enhance mental health care access for older adults in Puerto Rico. These results will inform policy development and public health strategies, addressing disparities and promoting equitable care in underserved populations.

What factors contribute to closing the turnout gender gap after female enfranchisement? In the wake of franchise expansion, we test whether being a poll officer—and hence being exposed to election management—boosted the politicisation and mobilisation of women. In the context of the Spanish Second Republic (1931–1939), we exploit a lottery that assigned recently enfranchised women to be poll officers in the first election women were allowed to vote (1933). We use an original individual-level panel database and show that women randomly selected as polling officers were as likely to participate in subsequent elections than men, while the gender turnout gap persisted among the rest. Further analyses suggest that being poll officers made women more receptive to political organisations mobilisation strategies, and their presence had positive externalities by encouraging other women to participate. Our findings highlight the potential benefits of exposure to election engineering among groups previously excluded or less engaged with democracy.

Understanding the complex dynamics of climate patterns under different anthropogenic emissions scenarios is crucial for predicting future environmental conditions and formulating sustainable policies. Using Dynamic Mode Decomposition with control (DMDc), we analyze surface air temperature patterns from climate simulations to elucidate the effects of various climate-forcing agents. This improves upon previous DMD-based methods by including forcing information as a control variable. Our study identifies both common climate patterns, like the North Atlantic Oscillation and El Niño Southern Oscillation, and distinct impacts of aerosol and carbon emissions. We show that these emissions’ effects vary with climate scenarios, particularly under conditions of higher radiative forcing. Our findings confirm DMDc’s utility in climate analysis, highlighting its role in extracting modes of variability from surface air temperature while controlling for emissions contributions and exposing trends in these spatial patterns as forcing scenarios change.

Children and adolescents diagnosed with autism spectrum disorder (ASD) present feeding problems that may influence food acceptance and refusal. However, data regarding dietary intake variability in this population are either not available in the literature or not well-known. This cross-sectional study aimed to identify the within-person and between-person variability, and the number of days needed for a 24-hour recall (24HR) to estimate the usual intake of children and adolescents with ASD. Data were collected from 284 patients assisted at a public neuropediatric health service in the city of Pelotas, Southern Brazil. Food consumption was assessed using three non-consecutive 24HR. Within-person (S2w) and between-person (S2b) variances, the variance ratio (VR) and the distribution of energy, macronutrients and micronutrients were obtained using the Multiple Source Method® (version 1.0.1). The number of days of 24HR needed was calculated for correlation coefficients of 0·7, 0·8 and 0·9. For most nutrients, S2w was greater than S2b, resulting in VR > 1, except for age-group analyses where children up to 5 years old showed VR < 1. Two to three days of 24HR were estimated for most nutrients, considering a correlation coefficient of 0·8. Differences were observed according to sex and age group, with adolescents requiring more days of 24HR. These findings indicate the need to assess dietary variability among individuals with ASD according to the characteristics of this investigated population.

Brazilian landowners are obligated to conserve a minimum percentage of native vegetation within their properties (termed a ‘legal reserve’), but non-compliance can be compensated elsewhere through a biodiversity offset. Recent changes in rules for legal reserve compensation (LRC) have increased the allowed spatial scale and softened the ecological criteria required to select properties for compensation, potentially leading to considerable biodiversity losses. In this paper, we analyse whether these rules promote the conservation of tree species on private lands through LRC in the Cerrado biome, the most biodiverse savannah in the world. We modelled the potential distribution of 126 Cerrado tree species and simulated several potential biodiversity offsets to calculate expected species losses under former and current LRC rules. Our results show that biodiversity offsets established under current and former LRC rules can lead to up to 100% tree species losses. In contrast, setting a minimum similarity threshold between watersheds can reduce median tree species loss in biodiversity offsets to as low as 3% and prevents LRC with no common species between sites. Therefore, the current rule is expected to strongly impact biodiversity in the Cerrado. Similarity in species composition between watersheds must be considered in order to implement LRC offsets that effectively conserve Cerrado biodiversity on private lands.

Oral supplementation with probiotics, prebiotics, and synbiotics is a novel potential complementary therapy for addressing overweight and obesity through gut microbiota modulation. This systematic review provides a comprehensive summary of the existing evidence to guide future research. Literature searches were conducted in four databases to identify human trials published until May 2024 that examined the impact of probiotic, prebiotic, or synbiotic interventions on faecal microbiota composition changes in overweight and obese participants from Latin American and Caribbean populations (LACPs). Of the 13,090 identified records, five randomised controlled trials (RCTs) from Brazil, Mexico, and Chile met the inclusion criteria for this review. The included RCTs evaluated different forms of therapies over short-term interventions (6 or 8 weeks), with sample sizes ranging from 21 to 39 participants across the studies. Variations in the reported outcomes were observed due to differences in supplement formulation, dosage, population characteristics, and methodological heterogeneity. The findings indicate that the available data are inadequate to establish definitive conclusions regarding the impact of biotic treatments on gut microbiota profiles in LACP. Further research with larger sample sizes and precise microbiota analysis is required to elucidate the implications of dietary interventions on gut microbiota in obesity and related disorders.

Bagrada bug, Bagrada hilaris (Burmeister) (Hemiptera: Pentatomidae), is an invasive pest of cole crops in the United States. Because it also feeds on widespread weeds and persists in natural habitats surrounding crop fields, conventional control strategies are often ineffective at providing long-term control. One egg parasitoid, Gryon aetherium Talamas (Hymenoptera: Scelionidae), is a promising biological control candidate because of its ability to parasitise B. hilaris buried eggs. Recently, adventive populations of G. aetherium were recovered from sentinel eggs in California along with a native egg parasitoid, Ooencyrtus californicus Girault (Hymenoptera: Encyrtidae). A better understanding of these parasitoid species’ spatial preference for foraging and their possible competitive interactions will help evaluate their host suppression potential. We compared the foraging abilities of these two parasitoid species for eggs deposited below and above ground. We also investigated the effect of interspecific competition on host suppression and the ability of O. californicus to parasitise eggs previously parasitised by G. aetherium. G. aetherium parasitised naturally and manually buried eggs, whereas O. californicus did not. In another experiment, O. californicus parasitised eggs glued to cards, but not in the presence of sand. Results suggest that G. aetherium may be negatively affected by the presence of O. californicus, and there was a slight but significant reduction in total host mortality when the parasitoids were present together. However, the inability of O. californicus to forage in soil likely limits negative interactions between these two species, and the two parasitoids may ultimately complement each other.

Recent advancements in Earth system science have been marked by the exponential increase in the availability of diverse, multivariate datasets characterised by moderate to high spatio-temporal resolutions. Earth System Data Cubes (ESDCs) have emerged as one suitable solution for transforming this flood of data into a simple yet robust data structure. ESDCs achieve this by organising data into an analysis-ready format aligned with a spatio-temporal grid, facilitating user-friendly analysis and diminishing the need for extensive technical data processing knowledge. Despite these significant benefits, the completion of the entire ESDC life cycle remains a challenging task. Obstacles are not only of a technical nature but also relate to domain-specific problems in Earth system research. There exist barriers to realising the full potential of data collections in light of novel cloud-based technologies, particularly in curating data tailored for specific application domains. These include transforming data to conform to a spatio-temporal grid with minimum distortions and managing complexities such as spatio-temporal autocorrelation issues. Addressing these challenges is pivotal for the effective application of Artificial Intelligence (AI) approaches. Furthermore, adhering to open science principles for data dissemination, reproducibility, visualisation, and reuse is crucial for fostering sustainable research. Overcoming these challenges offers a substantial opportunity to advance data-driven Earth system research, unlocking the full potential of an integrated, multidimensional view of Earth system processes. This is particularly true when such research is coupled with innovative research paradigms and technological progress.

Amazon parrots stand out as one of the most illegally traded Psittacids in the neotropics. However, the lack of effective tools for determining the geographical origin of confiscated individuals has impeded the development of well-informed release programmes. In this study, we evaluated the efficacy of the cytochrome oxidase subunit I (COI) gene to identify phylogeographical groups and infer the origins of seized individuals across six Amazon parrot species. Through comprehensive genetic and phylogenetic analyses of 140 COI sequences from individuals with documented geographical origin, a genetic reference database was assembled. The most likely origin of 156 seized parrots was inferred by comparing their genotype to this database. Within the Yellow-headed Parrot Amazona ochrocephala species complex, our analyses revealed the presence of seven distinct phylogeographical groups, exposing a notable poaching impact in the Middle Magdalena’s river valley. For the Southern Mealy Amazon A. farinosa, three distinct genetic groups were identified, with seized individuals showing comparable proportions originating from both the Cis- and Trans-Andean regions. Noteworthy genetic differentiation was observed between individuals of Festive Amazon A. festiva from the Caquetá–Amazon Rivers and those from the Meta River, with two seized individuals assigned to the former. The Scaly-naped Amazon A. mercenaria exhibited genetic divergence between individuals from the central Andes and the Sierra Nevada de Santa Marta. In contrast, the Orange-winged Amazon A. amazonica and Red-lored Amazon A. autumnalis did not display significant phylogeographical structure. However, analyses of seized individuals of A. amazonica suggested a potential underestimation of its genetic diversity and structure. This study illustrates the utility of mitochondrial molecular markers in determining the most probable area of origin for confiscated Amazon parrots, aiding in release programmes and enhancing the monitoring of natural populations.