Tokyo, Japan – Researchers from Tokyo Metropolitan University have created a new paradigm for identifying online phishing campaigns. Their new system, PhishLumos, is triggered when links show signs of concealing information, and looks for clues in the “infrastructure” of the website to uncover the whole campaign of which the site is only a tiny part. Real-world testing showed detection which was 8 days faster than an expert, with 190,000 URLs detected over 6 months.

A new study shows that thiol-modified biochar can maintain long-term mercury immobilization in contaminated soils, even when repeated drying and rewetting mimic heatwave-accelerated weathering.

A titanium dioxide-loaded biochar material reduced arsenic mobilization and methane emissions in flooded paddy soil, offering a promising approach to address food safety and climate challenges at the same time.

A new study shows that deep learning can predict how fast biochar materials break down antibiotic contaminants, offering a faster path toward cleaner water and smarter environmental remediation.

 The tiny, wireless device could transform treatment for chronic pain and movement disorders by removing the need for surgery, batteries, or wires

UMBC researchers are using NASA’s PACE satellite to map fall colors by tracking changes in leaf pigments like chlorophyll, anthocyanins, and carotenoids. The new method provides more precise timing of peak autumn color than traditional indices, with applications for tourism, monitoring plant stress, and understanding climate impacts.

Researchers from Shanghai Jiao Tong University have successfully utilized a novel screw extrusion-plasticizing friction stir deposition (SEFSD) process to 3D print 5183 aluminum alloy components in the solid state. This innovative approach bypasses the melting phase, significantly reducing common defects like pores and element evaporation. The resulting components showcase a refined microstructure and excellent mechanical properties, paving the way for efficient manufacturing of aerospace and marine structures.

The authors identify appropriate key performance indicators of resilience for AI-integrated cyber-physical infrastructures, and develop a comprehensive framework that can be used by researchers and practitioners as a guideline to model the resilience of such infrastructures at macro and micro levels. They illustrate how the framework can be applied by means of a case study.