I use the across-classroom variance of observables to calibrate several models of the sorting process. Results indicate that even the best feasible value-added models may be substantially biased, with ...

The most parsimonious explanation for our observations is that they reflect the action of purifying selection against the pathogenic mtDNA allele within the T-cell lineage.

AI and ML leverage massive amounts of data to speed up time-consuming processes and address emerging concerns like environmental, social and governance (ESG) practices.