The frequency content of resting-state fMRI signals contains information that can characterize and predict local variations in hemodynamic response timing which enhances the temporal precision of fMRI.

Biophysical modeling and quantitative live-cell imaging converge to show that the century-old puzzle of somatic homolog pairing in Drosophila operates via a button model.

Local sequence context, length, and GC nucleotide content in both directions of the trimming site, together, are highly predictive of V(D)J trimming probabilities for both TR and IG adaptive immune receptor loci.

A novel model is presented that reconciles in-cell structure probing data with splicing regulatory elements to predict exon 10 inclusion of the Tau gene with high accuracy for 53 splice altering mutations.

The associations of egg consumption with metabolic markers and of these markers with cardiovascular disease (CVD) risk showed opposite directions, which may partially explain the protective effect of moderate egg consumption on CVD in the Chinese population.

Dorsomedial D2-MSNs and D1-MSNs exhibit opposing dynamics during interval timing, however disrupting either MSN type produces similar effects on behavior, highlighting the complementary roles of striatal pathways in cognitive operations.

Boundary:boundary pairing interactions drive TAD formation in Drosophila.

Boundary:boundary pairing generates either stem-loop or circle-loop TADs, and these loop topologies differ in how they impact chromosome structure and genetic activities.

Visualized odor encounters show that Drosophila navigate spatiotemporally complex odor plumes using random walks biased by the timing of brief and unpredictable odor encounters.

Neuroimaging reveals that the brain response to spoken language can be better explained by rule-based models than statistical models recently developed in artificial intelligence research.