A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

S&P 500 Index’s trailing 10-yr return has edged up since our performance outlook in November but today’s revised forecast for ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

The guidance encourages the use of Bayesian statistics in drug trials. Instead of starting from scratch and only adding new ...

On a clear night, the Milky Way and the Andromeda galaxy look like close neighbors. In space, they really are.

Dilaton (EMD) holographic QCD model combined with Bayesian analysis to conduct a detailed investigation into the thermodynamic properties and dissociation processes of heavy quarkonium as it traverses ...

Abstract: This study examines logit models applied to the truck route choice problem using GPS trucking data from the Dallas metropolitan area. Instead of assuming a constant coefficient for each ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...