The prediction accuracies of polygenic scores in humans vary depending on the characteristics of the samples, as well as based on the study design, within a single ancestry group.

A new type of implicit effects on one's actions induced by prediction errors during action observation is discovered.

Key variables required for pain perception in the context of a predictive coding model are correlated with distinct oscillatory profiles.

Activity in the midbrain responds to unexpected changes in outcome identity (i.e. sensory prediction error) but does not scale with perceptual distance between expected and receipt reward.

Interventions in feedlots and abattoirs place selective pressure on the beef cattle resistome, which differentially impacts the public health risk of antimicrobial resistance from beef production sources.

Rice dwarf virus Pns11 protein increases rice susceptibility to virus infection by enhancing OsSAMS1 enzymatic activity and ethylene production.

Co-evolving residue pairs in the different components of a protein complex almost always make contact across the protein–protein interface, thus providing powerful restraints for the modeling of protein complexes.

Correlated mutation analysis using a combination of amino acid and codon sequence alignments improves predictions of amino acid residue contacts in proteins.

Pain processing in certain brain regions implements predictive coding principles, offering a novel perspective on the neural basis of pain perception.

The anticipation of rewards turns out to have its own hedonic value, on top of that of the reward itself; a wide range of behavioral and neurophysiological data suggest that this anticipation is boosted by prediction errors.