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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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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.

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.

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.

Since the most advanced nodes in silicon are reaching the limits of planar integration, 2D materials could help to advance the semiconductor industry. With the potential for use in multifunctional chips, 2D materials offer combined logic, memory and sensing in integrated 3D chips.