Like a supersonic jet being blasted with high-speed winds, Earth is constantly being bombarded by a stream of charged particles from the sun known as solar wind.

Just like wind around a jet or water around a boat, these solar wind streams curve around Earth’s magnetic field, or magnetosphere, forming on the sunward side of the magnetosphere a front called a bow shock and stretching it into a wind sock shape with a long tail on the nightside.

Dramatic changes to the solar wind alter the structure and dynamics of the magnetosphere...

Higher levels of urinary metals such as cadmium, tungsten, uranium, cobalt, copper and zinc are linked to increased cardiovascular disease and mortality in a racially and ethnically diverse U.S. population, according to a new study at Columbia University Mailman School of Public Health. While it is well documented that exposure to certain metals has been associated with cardiovascular disease (CVD) and mortality, until now the evidence was limited beyond arsenic, cadmium, and lead and for a racially diverse population. The findings are published in the journal Circulation.

When analyzed together, the 6 metal-mixture including cadmium, tungsten, uranium, copper, cobalt, and zinc was associated with a 29 percent increased risk of cardiovascular disease and a 66% increased risk of dea...

In the quest to develop life-like materials to replace and repair human body parts, scientists face a formidable challenge: Real tissues are often both strong and stretchable and vary in shape and size.

A CU Boulder-led team, in collaboration with researchers at the University of Pennsylvania, has taken a critical step toward cracking that code. They’ve developed a new way to 3D print material that is at once elastic enough to withstand a heart’s persistent beating, tough enough to endure the crushing load placed on joints, and easily shapable to fit a patient’s unique defects.

Better yet, it sticks easily to wet tissue.

Their breakthrough, described in the Aug...

Astronomers have recently found hundreds of “polluted” white dwarf stars in our home galaxy, the Milky Way. These are white dwarfs caught actively consuming planets in their orbit. They are a valuable resource for studying the interiors of these distant, demolished planets. They are also difficult to find.

Historically, astronomers have had to manually review mountains of survey data for signs of these stars. Follow-up observations would then prove or refute their suspicions.

By using a novel form of artificial intelligence, called manifold learning, a team led by University of Texas at Austin graduate student Malia Kao has accelerated the process, leading to a 99% success rate in identification...