The milli-spinner thrombectomy facilitates fast, complete clot removal by using spinning-induced compression and shear forces to mechanically modify the clot microstructure through densifying the fibrin network and releasing red blood cells, thus reducing clot volume.

Gradients of cell recognition molecules wire a sensorimotor interface in Drosophila.

An algorithm called time–magnitude reinforcement learning (TMRL) extends distributional reinforcement learning to take account of reward time and magnitude, and behavioural and neurophysiological experiments in mice suggest that midbrain dopamine neurons use TMRL-like computations.

An ultra-low-loss integrated photonic chip fabricated on a customized multilayer silicon nitride 300-mm wafer platform, coupled over fibre with high-efficiency photon number resolving detectors, is used to generate Gottesman–Kitaev–Preskill qubit states.