Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...

A vehicle that could dive underwater … and stay there? During the Revolutionary War, an American colonist built an experimental submersible vehicle that George Washington called “an effort of genius.” ...

Want to master data fitting in Python? 📊🐍 In this video, we’ll walk you through using the least squares method to fit data and graph it using Python. Perfect for data science and stats enthusiasts! ...

Rockalina the turtle has had a transformative year. When wildlife rescuers first laid eyes on her back in February, they weren’t sure she’d last the night. After nearly 50 years living on a kitchen ...

The story of Rockalina the turtle — who was rescued after nearly a half-century of neglect — now has a new character. Enter an Oreo-sized baby turtle, who will be Rockalina's new friend and who ...

Send a note to Doug Wintemute, Kara Coleman Fields and our other editors. We read every email. By submitting this form, you agree to allow us to collect, store, and potentially publish your provided ...

Unlike other waxes, I find this paste wax very easy to work with. BHPian somspaple recently shared this with other enthusiasts: Finally was able to apply Turtle Wax Ceramic Graphene paste wax to the ...

KEY WEST, Fla. — A 170-pound loggerhead turtle nicknamed “Molly” was back home in the warm waters of the Florida Keys on Tuesday after a successful surgery to remove a life-threatening tumor inches ...

Green sea turtles are rebounding, thanks to global conservation efforts. John Burns / National Oceanic and Atmospheric Administration After decades of decline, green sea turtles are making a comeback.

IUCN Red List highlights success for green turtles but mounting pressure on Arctic seals and birds worldwide GLAND, Switzerland (10 October 2025): WWF welcomes the reclassification of green sea ...

Abstract: This paper focuses on representation learning for dynamic graphs with temporal interactions. A fundamental issue is that both the graph structure and the nodes own their own dynamics, and ...