All three kinesin transport families exhibit unexpectedly slow dissociation under load, explaining robust competition with dynein during bidirectional cargo transport.

Abstract: Accurate mid-term load forecasting at the building level is vital for the strategic planning, operation, and sustainability of modern power systems. Machine learning approaches often require ...