Could the storms that once engulfed the Great Plains in clouds of black dust in the 1930’s once again wreak havoc in the U.S.? A new statistical model developed by researchers at Princeton University and the National Oceanic and Atmospheric Administration (NOAA) predicts that climate change will amplify dust activity in parts of the U.S. in the latter half of the 21st century, which may lead to the increased frequency of spectacular dust storms that have far-reaching impacts on public health and infrastructure.

Read more ...

Forest birds on the island of Hawaii are responding positively to being restored in one of the largest, ongoing reforestation projects at Hakalau Forest National Wildlife Refuge, according to a new study released July 10 in the journal Restoration Ecology.

Serving as pollinators and seed dispersers, birds have an important role in ecosystem function and their presence in restoration areas can be a measure of success for conservation efforts.

Read more ...

Heavy rain resulted in significant flooding in the U.S. Midwest over the week of July 7 to 14, 2017. Using satellite data, NASA estimated the amount of rain that fell over those areas and used satellite data to create 3-D imagery of severe storms.

NASA's Integrated Multi-satellite Retrievals for GPM (IMERG) data were used to show estimates of rainfall accumulation in the Midwest during the period from July 7 to 14, 2017. The analysis was conducted at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, and indicates that parts of Wisconsin, Illinois, Indiana and Ohio had the highest rainfall totals during the period with more than 6 inches (152.4 mm) of rain being seen in many areas.

Read more ...

An international research team has discovered that anywhere from 25 to 100 billion failed stars reside in the Milky Way Galaxy. The Milky Way Galaxy is the celestial home to Earth.

The failed stars, which are known as Brown dwarfs, are astronomical entities that are too large to be planets and too small to be stars.

Read more ...

A new algorithm developed by Stanford computer scientists can sift through hours of heart rhythm data generated by some wearable monitors to find sometimes life-threatening irregular heartbeats, called arrhythmias. The algorithm, detailed in an arXiv paper, performs better than trained cardiologists, and has the added benefit of being able to sort through data from remote locations where people don’t have routine access to cardiologists.

Read more ...

Autonomous robots can inspect nuclear power plants, clean up oil spills in the ocean, accompany fighter planes into combat and explore the surface of Mars.

Yet for all their talents, robots still can’t make a cup of tea.

That’s because tasks such as turning the stove on, fetching the kettle and finding the milk and sugar require perceptual abilities that, for most machines, are still a fantasy.

Read more ...

More Articles ...

Subcategories