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Hector Carranza Jr. of the University of Texas at Arlington has received the prestigious Department of Energy Office of Science Graduate Student Research award, or SCGSR, to conduct his research at Fermilab. DOE awarded the fellowship to 62 students from U.S. universities. He will work on light-mass dark matter searches at the ICARUS neutrino experiment.

From NCTV17, May 12, 2020: Fermilab scientists Jen Raaf and Liz Sexton-Kennedy appear in this three-minute segment on the worldwide project to help build a simplified ventilator in the fight against COVID-19, the Mechanical Ventilator Milano.

From Sanford Underground Research Facility, May 12, 2020: Part I in Sanford Lab’s series exploring the science goals of the international Deep Underground Neutrino Experiment discusses antimatter, CP violation and the origins of the universe.

From WBBM Newsradio: May 7, 2020: Fermilab scientist Stephen Brice is featured in this piece on a new, simple ventilator that has received FDA approval. The ventilator that was created by scientists from several countries, including more than a dozen Fermilab scientists. The Mechanical Ventilator Milano was inspired by a device built in the 1960s.

From The Great Courses Daily, May 5, 2020: Fermilab scientist Dan Hooper writes about how Einstein’s failure in achieving a unified field theory didn’t stop the others. Physicists continue to search for a theory of everything that unites the effects of general relativity with the quantum mechanical nature of our world.

From Chicago Tribune, May 5, 2020: In the middle of a global health emergency, scientists at Fermilab found they had a lot to offer the effort to meet demand for ventilators to treat COVID-19 patients. Fermilab scientist Stephen Brice helps explain how the group, working with colleagues outside the U.S., designed a portable, low-cost ventilator that still is capable of the most precise functions that bulkier, costlier machines provide.

From Gizmodo, May 5, 2020: Fermilab scientist Brian Nord weighs in on the question of how automated devices, such as an autonomously operating telescope, free from human biases and complications, could find the solutions to questions about dark matter and dark energy.