Hidden rock art dating back 5,000 years uncovered in Saudi Arabia

Discover the ancient rock art in Saudi Arabia's Soudah Peaks, revealing 5,000-year-old inscriptions and carvings that offer ...

Wadeable White Sandy Flats, Crystal Clear Water, Cruising Striped Bass. A Fly Angler's Paradise in the North East

Standing in the white sandy flats of Cape Cod, in water up to my waist, and striped bass all around me. This was pure bliss.

Florida’s waters are changing. But for these stone crabbers, the work goes on

Long before the world awakens, Michael Fox guides his boat through the dancing, moonlit waters of the Anclote River. Soon ...
Astronomy

Michael’s Miscellany: Observe Herschel’s Spiral Cluster

The celestial object described is an open cluster, NGC 7789, possessing an apparent magnitude of 6.7 and located between 5th-magnitude Sigma Cassiopeiae and 6th-magnitude Rho Cas, known by several ...

Claws, Culture, and Coastlines: How the Blue Crab Became Maryland’s State Crustacean

Marylanders and visitors love the blue crab as a seafood delicacy, but they chose it as the state crustacean for more than ...

Meet The Animal That Hasn’t Changed In 300 Million Years — A Biologist Explains

With copper-blue blood prized by modern medicine and a body plan older than dinosaurs, the horseshoe crab reveals how ancient ...
Smithsonian Magazine

Can Venice’s Iconic Crab Dish Survive Climate Change?

For more than 300 years, Italians have fried soft-shell green crabs, called moeche. But the culinary tradition is under ...

When stars fail to explode

Many stars die spectacularly when they explode as supernovae. During these violent explosions, they leave behind thick, ...
IEEE

Pattern-to-Absorption Prediction for Multilayered Metamaterial Absorber Based on Deep Learning

Abstract: Metamaterial absorbers (MMAs) allow for a wider range of applications than single-layer ones for their multilayered nature, especially in ultrabroadband absorption. However, the design of ...
IEEE

Pattern-Based Feature Extraction for Improved Deep Learning in Financial Time Series Classification

Abstract: In this paper, the authors introduce a novel feature extraction method based on pattern detection in financial data to enhance the performance of deep learning models for financial time ...