For centuries, humans have assumed that our thinking errors set us apart from the rest of the animal kingdom. From misjudging ...

A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...

An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.

Renewable energies are of paramount importance when it comes to energy consumption. They provide reliable power sources and fuel diversification, which improves energy security and helps reduce the ...

HCV incidence among people who inject drugs in Scotland has halved since 2015, bringing WHO elimination targets within reach.

The study finds that these uncertainty shocks often lead the economic cycle, signaling turning points months before ...

Researchers have modeled a hybrid financing scheme combining contracted and merchant components to improve the bankability of PV-battery energy storage system (PV-BESS) assets, using a Bayesian LSTM ...

Trials of surgical evacuation of supratentorial intracerebral hemorrhages have generally shown no functional benefit. Whether early minimally invasive surgical removal would result in better outcomes ...