Author: Kate McAlpine
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Unstoppable
Chemical engineering graduate student Rhonda Jack’s journey to become a published researcher.
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The beginning of the amniotic sac
Amnion developed from human stem cells are being studied. Understanding infertility and pregnancy loss are one area being investigated.
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The Michigan Probe: Changing the Course of Brain Research
Some believed early Michigan brain researchers were engaging in “science fiction” – until development of an advanced tool for forging breakthroughs proved them wrong.
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MARLO makes initial attempt at the Wave Field
For now, Grizzle and his graduate students are only attempting the easiest routes, between the grassy two- to three-foot moguls, over smaller undulations that he calls “merely very difficult.”
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Lights Out
The power goes out. The aurorae stretch to the tropics. Could a major solar storm mean a year without electricity?
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Michigan design selected for NASA’s NextSTEP toward a crewed Mars mission
The spacecraft engine that will help take humans to Mars may be based on a University of Michigan prototype.
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A matter of time
How the Internet of Things infiltrated one home, and what it could signal about the future of privacy and security.
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$5M for international neurotechnology “dream team”
A “dream team” of experts in sensors, electronics, data analysis and neuroscience has been awarded a $5 million grant to help unravel the mysteries of the brain and cross-train a group of internationally-connected neuroscientists and engineers.
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$3M upgrade complete at leading lab for emulating radiation damage
With new equipment that makes it the best in the world for quickly recreating the radiation damage sustained by materials inside nuclear reactors, the Michigan Ion Beam Laboratory (MIBL) marked its grand re-opening yesterday.
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Nuclear engineering labs: $12M renovation begins
“The Nuclear Engineering Laboratory will provide new, world-class research spaces to enable Michigan faculty and students to make major impacts on nuclear nonproliferation, nuclear reactor safety and homeland security,” says NERS professor, Ronald Gilgenbach.
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Designing intelligence
Can we create machines who learn like we do?