Its readily apparent that handling two things at once is much harder than handling one thing at a time. Spend too much time trying to juggle more than one objective and youll end up wanting to get rid of all your goals besides sleeping. The question is, though, what makes it so hard to process two things at once?
Two theories try to explain this phenomenon: "passive queuing" and "active monitoring." The former says that information has to line up for a chance at being processed at some focal point of the brain, while the latter suggests that the brain can process two things at once – it just needs to use a complicated mechanism to keep the two processes separate. Recent research from MIT points to the former as an explanation.
Yuhong Jiang, Rebecca Saxe and Nancy Kanwisher, in a study to be published in the June issue of Psychological Science, a journal of the American Psychological Society, examined the brain activity involved in multitasking. They gave people two simple tasks. Task one was identifying shapes, and for some subjects, task two was identifying letters, for others it was identifying colors. The subjects were forced to switch from one task to the other in either one and a half seconds or one tenth of a second. When they had to switch faster, subjects would take as much as twice as long to respond than when switching more slowly.
Yuhong Jiang | EurekAlert!
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Most natural and artificial surfaces are rough: metals and even glasses that appear smooth to the naked eye can look like jagged mountain ranges under the microscope. There is currently no uniform theory about the origin of this roughness despite it being observed on all scales, from the atomic to the tectonic. Scientists suspect that the rough surface is formed by irreversible plastic deformation that occurs in many processes of mechanical machining of components such as milling.
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Researchers at Chalmers University of Technology, Sweden, recently completed a 5-year research project looking at how to make fibre optic communications systems more energy efficient. Among their proposals are smart, error-correcting data chip circuits, which they refined to be 10 times less energy consumptive. The project has yielded several scientific articles, in publications including Nature Communications.
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After helping develop a new approach for organic synthesis -- carbon-hydrogen functionalization -- scientists at Emory University are now showing how this approach may apply to drug discovery. Nature Catalysis published their most recent work -- a streamlined process for making a three-dimensional scaffold of keen interest to the pharmaceutical industry.
"Our tools open up whole new chemical space for potential drug targets," says Huw Davies, Emory professor of organic chemistry and senior author of the paper.
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