This register-based, case-control, follow-up study explores long-term mortality, recovery, and vocational status after a maternal stroke:
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Could we launch resources from the moon with electromagnetic railguns?
That was five decades ago. Catapult yourself to today and ask this question: What’s the U.S. Navy’s Gerald R. Ford nuclear aircraft carrier got to do with the moon?
Late last year, General Atomics Electromagnetic Systems filed a final report to the Air Force Office of Scientific Research’s (AFOSR). That report was titled “Lunar Electromagnetic Launch for Resource Exploitation to Enhance National Security and Economic Growth.”
The author of that appraisal is Robert Peterkin, director of operations for the organization’s Albuquerque, New Mexico office.
D.C. police to begin deploying drones alongside officers to some calls
D.C. police will start using drones to respond alongside officers to some calls, including barricade situations and large-scale public gatherings, bolstering a broader government effort that has increased video surveillance of the District.
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Drug used for cancer treatment could help slow or stop Parkinson’s, study says
BOSTON — There currently is no cure for Parkinson’s disease, but scientists may have discovered a potential path to slow or stop the disease. Parkinson’s disease is a brain disorder that can cause movement problems such as tremors, poor balance, and walking difficulties, and it can also impair cognitive function. There is no cure and treatments aim to simply reduce symptoms. But a new study in mice by researchers at Johns Hopkins offers new hope. They found that the interaction of two proteins is key to the buildup of protein clumps in the brain that damage healthy brain cells in Parkinson’s. They also suggest that disrupting these proteins with a drug already approved by the FDA to treat cancer could potentially slow or stop the brain damage associated with Parkinson’s. The next step would be to conduct clinical trials in humans, but that will take time.
Why don’t electrons in the atom enter the nucleus?
Article 39 Why an electron does not fall into the nucleus in terms of the strong and weak nuclear forces.
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It can be shown one may able to derive the strong and weak nuclear forces and the internal geometry of protons and neutrons in terms of the orientation of…
Electrons in the atom do enter the nucleus. In fact, electrons in the s states tend to peak at the nucleus. Electrons are not little balls that can fall into the nucleus under electrostatic attraction. Rather, electrons are quantized wavefunctions that spread out in space and can sometimes act like particles in limited ways. An electron in an atom spreads out according to its energy. The states with more energy are more spread out. All electron states overlap with the nucleus, so the concept of an electron “falling into” or “entering” the nucleus does not really make sense. Electrons are always partially in the nucleus.
If the question was supposed to ask, “Why don’t electrons in the atom get localized in the nucleus?” then the answer is still “they do”. Electrons can get localized in the nucleus, but it takes an interaction to make it happen. The process is known as “electron capture” and it is an important mode of radioactive decay. In electron capture, an atomic electron is absorbed by a proton in the nucleus, turning the proton into a neutron. The electron starts as a regular atomic electron, with its wavefunction spreading through the atom and overlapping with the nucleus. In time, the electron reacts with the proton via its overlapping portion, collapses to a point in the nucleus, and disappears as it becomes part of the new neutron. Because the atom now has one less proton, electron capture is a type of radioactive decay that turns one element into another element.
If the question was supposed to ask, “Why is it rare for electrons to get localized in the nucleus?” then the answer is: it takes an interaction in the nucleus to completely localize an electron there, and there is often nothing for the electron to interact with. An electron will only react with a proton in the nucleus via electron capture if there are too many protons in the nucleus. When there are too many protons, some of the outer protons are loosely bound and more free to react with the electron. But most atoms do not have too many protons, so there is nothing for the electron to interact with. As a result, each electron in a stable atom remains in its spread-out wavefunction shape. Each electron continues to flow in, out, and around the nucleus without finding anything in the nucleus to interact with that would collapse it down inside the nucleus.
Researchers propose the next platform for brain-inspired computing
Computers have come so far in terms of their power and potential, rivaling and even eclipsing human brains in their ability to store and crunch data, make predictions and communicate. But there is one domain where human brains continue to dominate: energy efficiency.
“The most efficient computers are still approximately four orders of magnitude — that’s 10,000 times — higher in energy requirements compared to the human brain for specific tasks such as image processing and recognition, although they outperform the brain in tasks like mathematical calculations,” said UC Santa Barbara electrical and computer engineering Professor Kaustav Banerjee, a world expert in the realm of nanoelectronics. “Making computers more energy efficient is crucial because the worldwide energy consumption by on-chip electronics stands at #4 in the global rankings of nation-wise energy consumption, and it is increasing exponentially each year, fueled by applications such as artificial intelligence.” Additionally, he said, the problem of energy inefficient computing is particularly pressing in the context of global warming, “highlighting the urgent need to develop more energy-efficient computing technologies.”
Neuromorphic computing has emerged as a promising way to bridge the energy efficiency gap. By mimicking the structure and operations of the human brain, where processing occurs in parallel across an array of low power-consuming neurons, it may be possible to approach brain-like energy efficiency.
Multi-state MRAM cells for hardware neuromorphic computing
Rzeszut, P., Chȩciński, J., Brzozowski, I. et al. Multi-state MRAM cells for hardware neuromorphic computing. Sci Rep 12, 7,178 (2022). https://doi.org/10.1038/s41598-022-11199-4
