This important study builds on previous work from the same authors to present a conceptually distinct workflow for cryo-EM reconstruction that uses 2D template matching to enable high-resolution ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

This paper studies the equilibrium and welfare implications of quantitative trade models with sector-level external economies of scale (EES). While empirical evidence highlights the importance of EES, ...