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Month: September 2018

Researchers have discovered a way to kill #cancer cells and stop #glioblastoma formation by blocking casein kinase 1 gene.

Scientists with the Virginia Tech Carilion Research Institute say a gene involved in the body’s circadian rhythms is a potential target for therapies to help patients with a deadly form of brain cancer known as glioblastoma.

This discovery, to be published in the journal Scientific Reports on Tuesday, Sept. 11, points to a subtype of a particular gene that apparently is enabling the survival of cancer cells, although it is more commonly associated with circadian rhythms — the body’s 24-hour biological clock.

“The world is desperately seeking new treatments for glioblastoma and no one has ever before pointed to this gene as a target upon which to base therapies,” said Zhi Sheng, an assistant professor at the Virginia Tech Carilion Research Institute, whose team pinpointed the gene from 20 suspects it had previously identified.

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The Next-Generation Nonsurgical Neurotechnology (N3) program will fund research on tech that can transmit high-fidelity signals between the brain and some external machine without requiring that the user be cut open for rewiring or implantation. It hasn’t escaped DARPA’s attention that no-surgery-required brain gear that gives people superpowers may find applications beyond the military. The proof-of-concept tech that comes out of the N3 program may lead to consumer products, says Justin Sanchez, director of DARPA’s Biological Technologies Office. “This will spawn new industries,” he says…

The N3 program will create no-surgery-required neurotech that the general public may also find useful.

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A recent discovery by William & Mary and University of Michigan researchers transforms our understanding of one of the most important laws of modern physics. The discovery, published in the journal Nature, has broad implications for science, impacting everything from nanotechnology to our understanding of the solar system.

“This changes everything, even our ideas about planetary formation,” said Mumtaz Qazilbash, associate professor of physics at William & Mary and co-author on the paper. “The full extent of what this means is an important question and, frankly, one I will be continuing to think about.”

Qazilbash and two W&M graduate students, Zhen Xing and Patrick McArdle, were asked by a team of engineers from the University of Michigan to help them test whether Planck’s radiation law, a foundational scientific principle grounded in quantum mechanics, applies at the smallest length scales.

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MIT’s Lincoln Laboratory Intelligence and Decision Technologies Group yesterday unveiled a neural network capable of explaining its reasoning. It’s the latest attack on the black box problem, and a new tool for combating biased AI.

Dubbed the Transparency by Design Network (TbD-net), MIT’s latest machine learning marvel is a neural network designed to answer complex questions about images. The network parses a query by breaking it down into subtasks that are handled by individual modules.

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An incurable affliction that gradually destroys a person’s ability to walk, speak, and eventually breathe can also deteriorate the mind, new research suggests. People with amyotrophic lateral sclerosis (ALS) are more likely to have other mental and behavioral health problems than people without the condition, the study found.

ALS, also called Lou Gehrig’s disease, is a progressive neurologic condition that affects some 20,000 Americans at any one time. In ALS, a person’s motor neurons throughout their body and brain steadily die off. These neurons are responsible for helping us carry out voluntary movement.

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Graphene — an ultrathin material consisting of a single layer of interlinked carbon atoms — is considered a promising candidate for the nanoelectronics of the future. In theory, it should allow clock rates up to a thousand times faster than today’s silicon-based electronics. Scientists from the Helmholtz Zentrum Dresden-Rossendorf (HZDR) and the University of Duisburg-Essen (UDE), in cooperation with the Max Planck Institute for Polymer Research (MPI-P), have now shown for the first time that graphene can actually convert electronic signals with frequencies in the gigahertz range — which correspond to today’s clock rates — extremely efficiently into signals with several times higher frequency. The researchers present their results in the scientific journal Nature.

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