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Magnetic fields in space are sometimes called the last piece in the puzzle of star formation. They are much harder to measure than the masses or motions of star-forming clouds, and their strength is still uncertain. If they are strong, they can deflect or even oppose gas flowing into a young stellar core as it collapses under the influence of gravity. If they are moderate in strength, however, they act more flexibly and guide the flow, but don’t prevent it.

Early measurements of field strengths in molecular clouds were based on radiation from molecules whose energy levels are sensitive to magnetic field strengths. Those data suggested the fields were of moderate strength, but those conclusions were tentative. More recent observations with stronger signals measured the polarized radiation from dust grains aligned with the magnetic field. These observations obtain the field strength from the changes in field direction across the cloud map.

CfA.

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NASA and Joby’s eVTOL craft could be the weird plane/chopper fusion of the future.

The National Aeronautics and Space Administration is also America’s civilian aerospace research organization. In that role, it has been instrumental in developing new technologies ranging from rocket engines to aircraft control systems.

Part of that role is running the Advanced Air Mobility (AAM) campaign to test autonomous drone technology. The latest milestone in that campaign was testing an electric vertical takeoff and landing (eVTOL) helicopter intended for eventual use as an air taxi.

Continue reading “Look: NASA’s futuristic eVTOL helicopter is ready for flight tests” | >

“The agency continues to monitor the rise of COVID cases in the Kennedy area, which combined with other factors such as weather and first-time operations, is impacting our schedule of operations,” NASA spokesperson Kathryn Hambleton told Ars. “Moving step by step, we are progressing toward launch while keeping our team as safe as possible.”

However, the SLS has already been delayed for years and surpassed budget expectations by billions of dollars. So while the pandemic has certainly thrown another wrench into the works, it’s not like things were progressing smoothly before the coronavirus struck. Regardless, Hambleton says that NASA should offer a revised schedule soon.

“As always, we will fly only when we are ready,” she told Ars Technica.

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How does consciousness arise? What might its relationship to matter be? And why are some things conscious while others apparently aren’t? These sorts of questions, taken together, make up what’s called the “hard problem” of consciousness, coined some years ago by the philosopher David Chalmers. There is no widely accepted solution to this. But, fortunately, we can break the problem down: If we can tackle what you might call the easy part of the hard problem, then we might make some progress in solving the remaining hard part.

This is what I’ve been up to in recent years with my partner in crime, Jonathan Schooler, a psychologist at U.C. Santa Barbara. Since I came up in philosophy, rather than neuroscience or psychology, for me the easy part was deciding the philosophical orientation. Schooler and I duked it out over whether we should adopt a materialist, idealist, panpsychist, or some other position on our way to a complete answer. I am, as I’ve written in Nautilus before, a card-carrying panpsychist, inspired by Alfred North Whitehead, David Ray Griffin, David Skrbina, William Seager, and Chalmers. Panpsychism suggests that all matter has some associated mind/consciousness and vice versa. Where there is mind there is matter, where there is matter there is mind. They go together like inside and outside. But for Jonathan, this was far too glib. He felt strongly that this was actually the hard part of the problem. Since he’s the Distinguished Professor and I’m not, we decided to call this philosophical positioning the hard part of the hard problem.

Consciousness is a snapshot of time.

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Our reign as sole understanders of the cosmos is rapidly coming to an end. We should not be afraid of this. The revolution that has just begun may be understood as a continuation of the process whereby the Earth nurtures the understanders, the beings that will lead the cosmos to self-knowledge. What is revolutionary about this moment is that the understanders of the future will not be humans but cyborgs that will have designed and built themselves from the artificial intelligence systems we have already constructed. These will soon become thousands then millions of times more intelligent than us.

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“The dream of predicting a protein shape just from its gene sequence is now a reality,” said Paul Adams, Associate Laboratory Director for Biosciences at Berkeley Lab. For Adams and other structural biologists who study proteins, predicting their shape offers a key to understanding their function and accelerating treatments for diseases like cancer and COVID-19.

The current approaches to accurately mapping that shape, however, usually rely on complex experiments at synchrotrons. But even these sophisticated processes have their limitations—the data and quality aren’t always sufficient to understand a protein at an atomic level. By applying powerful machine learning methods to the large library of protein structures it is now possible to predict a protein’s shape from its gene sequence.

Researchers in Berkeley Lab’s Molecular Biophysics & Integrated Bioimaging Division joined an led by the University of Washington to produce a computer software tool called RoseTTAFold. The algorithm simultaneously takes into account patterns, distances, and coordinates of amino acids. As these data inputs flow in, the tool assesses relationships within and between structures, eventually helping to build a very detailed picture of a protein’s .

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