While working for an environmental nonprofit organization in India, Namrata Sengupta investigated how poor waste management and sanitation practices can impact the environment and public health. Her work sparked an interest in environmental toxicology and led her to Clemson University in 2011 as a doctoral student in the field.

Wind turbines rise into the sky on enormous feet. To ensure these giants can reliably generate electricity for many years to come, the iron processing industry must manufacture their massive components in a stable, resource-saving and yet cost-effective way. However, material inclusions such as dross are often unavoidable while casting. Fraunhofer researchers are currently working to detect and analyze such material defects.

Wind turbines should be environmentally friendly, highly efficient, cost-effective, and able to function reliably for at least 20 years. However, as turbines become increasingly powerful, the demands on the components used are growing, and so is the risk of material fatigue. Material defects such as inclusions from slag, known as dross, are considered undesirable because they greatly reduce the load-bearing capacity of cast iron components with spheroidal graphite. This special kind of cast iron is also used to make a wind turbine’s mainframe and rotor hubs. Manufacturing such components is difficult due to the build-up of dross that often occurs despite tricks in casting techniques.

Scientists and engineers from the University of Bath have developed biodegradable cellulose microbeads from a sustainable source that could potentially replace harmful plastic ones that contribute to ocean pollution.

Microbeads are little spheres of plastic less than 0.5 mm in size that are added to personal care and cleaning products including cosmetics, sunscreens and fillers to give them a smooth texture. However they are too small to be removed by sewage filtration systems and so end up in rivers and oceans, where they are ingested by birds, fish and other marine life.

Researchers from the University of Zurich have simulated the formation of our entire Universe with a large supercomputer. A gigantic catalogue of about 25 billion virtual galaxies has been generated from 2 trillion digital particles. This catalogue is being used to calibrate the experiments on board the Euclid satellite, that will be launched in 2020 with the objective of investigating the nature of dark matter and dark energy.

When you think of turbulence, you might think of a bumpy plane ride. Turbulence, however, is far more ubiquitous to our lives than just air travel. Ocean waves, smoke from fire, even noise coming from jet engines or wind turbines are all related to turbulence.

Students at the University of Windsor can now measure the stress levels of a pickerel swimming against a strong current, the turbidity of hazy tributaries feeding into the Great Lakes, and the behaviour of the invasive sea lamprey without wading into remote and distant waters.

The Freshwater Restoration Ecology Centre in LaSalle is the only research facility of its kind in the Great Lakes Basin and provides students with state-of-the-art technology to study the restoration of damaged ecosystems, invasive species biology and water quality.

If you think self-driving cars can’t get here soon enough, you’re not alone. But programming computers to recognize objects is very technically challenging, especially since scientists don’t fully understand how our own brains do it.

Now, Salk Institute researchers have analyzed how neurons in a critical part of the brain, called V2, respond to natural scenes, providing a better understanding of vision processing. The work is described in Nature Communications on June 8, 2017.

“Understanding how the brain recognizes visual objects is important not only for the sake of vision, but also because it provides a window on how the brain works in general,” says Tatyana Sharpee, an associate professor in Salk’s Computational Neurobiology Laboratory and senior author of the paper. “Much of our brain is composed of a repeated computational unit, called a cortical column. In vision especially we can control inputs to the brain with exquisite precision, which makes it possible to quantitatively analyze how signals are transformed in the brain.”

Caltech researchers have identified a neural circuit in the brain that controls wakefulness. The findings have implications for treating insomnia, oversleeping, and sleep disturbances that accompany other neuropsychiatric disorders, such as depression.

The work was done in the laboratory of Viviana Gradinaru (BS '05), assistant professor of biology and biological engineering, Heritage Medical Research Institute Investigator, and director of the Center for Molecular and Cellular Neuroscience of the Tianqiao and Chrissy Chen Institute for Neuroscience at Caltech. It appears in the June 8 online edition of the journal Neuron.

In the event of a natural disaster that disrupts phone and Internet systems over a wide area, autonomous aircraft could potentially hover over affected regions, carrying communications payloads that provide temporary telecommunications coverage to those in need.

However, such unpiloted aerial vehicles, or UAVs, are often expensive to operate, and can only remain in the air for a day or two, as is the case with most autonomous surveillance aircraft operated by the U.S. Air Force. Providing adequate and persistent coverage would require a relay of multiple aircraft, landing and refueling around the clock, with operational costs of thousands of dollars per hour, per vehicle. 

A highly toxic water pollutant, known as perfluorooctanoic acid (PFOA), last year caused a number of U.S. communities to close their drinking water supplies. Because of its historical use in Teflon production and other industrial processes as well as its environmental persistence, PFOA contamination is a pervasive problem worldwide.