Background Pericarditis may be associated with significant morbidity and mortality and can be a clinically challenging entity ...

Smart digital health has reshaped patient monitoring, but it faces a fundamental trade-off between device intelligence and continuous, energy-efficient monitoring. Inspired by self-sustaining ...

Following a tip-off, forest department officials and police raided a flat in Andheri East and rescued an exotic ball python kept in a glass enclosure on the balcony. On August 3, 2026, the forest ...

Abstract: The reliability of high-voltage insulators in power transmission systems is often compromised by pollution-induced flashovers, especially in coastal and industrial regions. Traditional ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. David Chisnall discusses how the CHERI ...

Tabular data—structured information stored in rows and columns—is at the heart of most real-world machine learning problems, from healthcare records to financial transactions. Over the years, models ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches rely on ...

A Python implementation of the Truly Spatial Random Forests (SRF) algorithm for geoscience data analysis. Based on: Talebi, H., Peeters, L.J.M., Otto, A. & Tolosana-Delgado, R. (2022). A Truly Spatial ...

While most of the world’s 4,000 snake species pose little threat to humans, a handful of giants are powerful enough to take down deer, crocodiles, and even other top predators. From Indian and African ...