Tool behaviour of long-tailed macaques leaves archaeological signatures that differ between populations despite similar ecological conditions, highlighting the potential for diversity in material culture.

The use of stone tools by macaques in Thailand has reduced the size and population density of coastal shellfish; previously it was thought that tool-assisted overharvesting effects resulted uniquely from human activity.

Technology-driven overharvesting of marine prey influences tool selection pattern in long tailed macaques, posing a serious threat to their behavioural traditions.

A consistent pattern of consumption of Triticeae tribe grasses documented in the Danube Gorges of the Balkans since the Early Mesolithic might have facilitated a quick uptake of domesticated cereals due to a developed cultural taste and specific stone tool processing technology.

A systematic review with multilevel modelling quantified the positive association between human antibodies to Anopheles salivary proteins with Anopheles-human biting rate and epidemiological measures of malaria transmission, highlighting their potential as a tool to measure vector exposure and malaria transmission.

Ancient proteomes from tiny shell ornaments were successfully characterised for the first time, showing the unexpected use of mother-of-pearl from local riverine molluscs in both coastal and inland prehistoric sites.

Imaging experiments reveal that some brain regions do not distinguish between actions performed using tools and those performed using the hands, while others represent these two types of action separately.

A novel multi-omics framework revealed the taxonomic contribution to microbiota oxalate, demontrated O. formigenes as the dominating taxon transcriptionally, and identified specific IBD cohort at risk for oxalte toxicity.

The likelihood to perform tool use during foraging is linked to personality traits in ants, suggesting an original interplay between consistent inter-individual variability and division of labor in social species.

A smartphone app incorporating clinical prediction models using patient-specific and location-specific data sources in a modular approach could predict viral-only etiology of diarrhea in children under five in Bangladesh and Mali.