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A new way of measuring sociality in human and animal contact networks reveals the link between social behavior, population density, and disease transmission.

Fast and flexible estimation of effective migration surfaces (FEEMS) is a new statistical method that can quickly infer and visualize patterns of migration from genetic data with spatial coordinates.

In a fast brainstem relay controlling hearing sensitivity, descending synaptic control from midbrain provides the dominant source of excitation, due to a distinct form of synaptic plasticity.

Bayesian survival analysis reveals comprehensive efficacy profile and mechanism of action for Sanofi-Pasteur’s CYD-TDV dengue vaccine, whereby vaccination acts as a silent, disease-free infection enhancing disease risk in seronegatives, but giving greater immunity in seropositives than two natural infections.

Plasmodium falciparum K13 mutations confer resistance to the antimalarial artemisinin in Asian and African parasites, with most gene-edited mutant K13 African parasite lines showing a fitness cost that may predict slow dissemination of artemisinin resistance in high-transmission settings.

The piRNA pathway regulates satellite DNAs in the Drosophila melanogaster germline and affects heterochromatin establishment at pericentromeric satellite DNA in embryos, implying a general role for piRNAs in ensuring genome stability.

Selection by national-level antibiotic consumption and vaccination trends drives atypical recombinations, frequently resulting in interspecies sequence exchange at many sites across a bacterial species’ chromosome.

Large-scale retrospective analysis suggests medications and dietary supplements, such as rosuvastatin, ezetimibe, ubiquinone, risedronate, vitamin D, and magnesium, are associated with a lower rate of severe COVID-19 disease.

Anti-tumor properties of sub-class of xanthine analogs involve restoration of p53 pathway transcriptome, independent of p53/p73, dependent on ATF3/ATF4 and Noxa in mutated-p53 tumors and the compounds trigger an S-phase checkpoint.

Emergent property inference, a novel machine learning methodology, learns distributions of neural circuit model parameters that produce computational properties and provides novel scientific insight through the quantification of the rich parametric structure it captures.