News by Subject Mathematics

Researchers have developed a method based on artificial intelligence that rapidly identifies currently available medications that may treat Alzheimer's disease. The method also reveals potential new treatment targets for the disease.

A new study by a team of researchers at UL has identified the underlying tactics used by the top-ranked competitors among the seven million players of Fantasy Premier League (FPL), the official - and world's largest - fantasy football game of the English Premier League.

Deeper understanding of the climate-water-energy nexus will significantly contribute towards planning and managing transnational power grids.

As light as possible and as strong as possible at the same time. These are the requirements for modern lightweight materials, such as those used in aircraft construction and the automotive industry. A research team from Helmholtz-Zentrum Geesthacht (HZG) and Hamburg University of Technology (TUHH) has now developed a new materials' design approach for future ultralight materials: Nanometer-sized metal struts that form nested networks on separate hierarchical levels provide amazing strength.

How best to evaluate the performance of a group testing strategy for the SARS-CoV-2 virus? French scientist have developed a model that evaluates the efficiency of such tests. Their study accounts for dilution effect, in an effort to assess the number of potential false negatives based on pooled sample size, to optimize group size thereby minimizing epidemic risk, and finally to more accurately determine the number of contaminated individuals within a given population.

Existing gene drive technologies could be combined to help control the invasive grey squirrel population in the UK with little risk to other populations, according to a modelling study published in Scientific Reports.

In "Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images," researchers at the NYU Tandon School of Engineering led by Siddharth Garg, professor of electrical and computer engineering, explored whether private data could still be recovered from images that had been "sanitized" by such deep-learning discriminators as privacy protecting GANs (PP-GANs).