What if auditors could predict when errors are more likely to occur in financial reporting? Instead of simply improving techniques for detecting errors, they could focus on how to stop them from happening.

This is the focus of work by Chanyuan (Abigail) Zhang Parker, assistant professor of accounting in the UT San Antonio Carlos Alvarez College of Business. Parker’s paper, “Predicting Material Misstatements Using Machine Learning,” was recently accepted in The Accounting Review on this topic.

E. coli and 'good' bacteria balanced by breastmilk in baby gut microbiomes, according to a new paper published in Nature Communications. The study, led by Professor Lindsay Hall from the University of Birmingham used deep DNA sequencing to look at stool samples from 41 healthy babies and their mothers in the Netherlands and found that sugars contained exclusively in breast milk are helping to feed an important balance of bacteria in babies’ developing gut microbiomes.