News by Subject Mathematics

A new study used a targeting strategy that tracks where, when, and for how long consumers are in a shopping mall to determine how shoppers' physical movements affect their economic choices. The study found that targeting potential customers in this way can significantly improve advertising via mobile phones.

There are currently more than three million people in the US with hepatitis C, a condition that can lead to serious and even deadly liver complications. In the US prison system, the prevalence of hepatitis C virus (HCV) infection is currently 10 times higher than the national average. However, new research in the INFORMS journal Operations Research, has identified new protocols that could substantially decrease HCV infection in the US prison system.

New insight into termites' architectural strategies could help us design more energy efficient self-sustaining buildings for humans.

A sophisticated new analysis too incorporating advanced mathematical strategies could help revolutionize the way researchers investigate the spread and distribution of dangerous, fast-evolving disease vectors.

A new study sought to develop and validate a way to predict the risk of opioid overdose among Medicare beneficiaries with at least one opioid prescription. The model the researchers developed was more effective in predicting risk of overdose than traditional statistical models.

Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.

Researchers from Northwestern University and Facebook in March published new research in the INFORMS journal Marketing Science that sheds light on whether common approaches for online advertising measurement are as reliable and accurate as the 'gold standard' of large-scale, randomized experiments.

Researchers at the University of Luxembourg are part of an international team that has proposed the first blockchain system to guarantee proper performance even when more than 51 percent of the system's computing power is controlled by an attacker.