In asset-intensive industries, such as energy, chemicals, power and infrastructure, the balance between a project’s success ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

When Lukas Dahlström returned to Gotland to start his doctoral program at the GRASS graduate school, it was like coming full ...

Wall Street analysts have missed S&P 500 targets in 13 of 16 years by 10% on average. Learn why confident forecasts often fail and what smart investors do instead.

Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

Abstract: Sonification is a data visualization technique which expresses data attributes via psychoacoustic parameters, which are nonspeech audio signals used to convey information. This article ...

Can predictive analytics support labor cost forecasting by improving staffing and aligning resources with patient demand in health systems?

Abstract: In this paper, we develop a graph neural network (GNN)-assisted bilinear inference approach to enhance the receiver performance of the MIMO system through message passing-based joint channel ...

Loomis Sayles, an investment management company, released its “Global Growth Fund” investor letter for the third quarter of ...

Genetics research and cognitive theory together are revealing autism’s biological depth and cognitive richness, shaping a future of personalized understanding.