A second New Moon in the same month, a rising Mi;lky Way and the onset of meteor showers makes this a great time to get outside and looking up.
Right now, the robot is busy with the pre-launch preparations. August 22, F-850 will be launched to the ISS aboard the Soyuz MS-14 unmanned spacecraft. However, the humanoid robot won’t be staying on board long, after a ten-day mission F-850 is set to leave the station and return to Earth.
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The field of cryonics — freezing the body after death to be revived in the future — is advancing with new technology and research. Now, the leading players in cryonics are gathering in South Florida to build interest and share new developments.
Research on robotic prostheses is coming along in leaps and bounds, but one hurdle is proving quite tricky to overcome: a sense of touch. Among other things, this sense helps us control our grip strength — which is vitally important when it comes to having fine motor control for handling delicate objects.
Enter a new upgrade for the LUKE Arm — named for Luke Skywalker, the Star Wars hero with a robotic hand. Prototype versions of this robotic prosthesis can be linked up to the wearer’s nerves.
And, thanks to biomedical engineers at the University of Utah, for the participants of their experimental study, the arm can now also produce an ability to feel. This spectacular advance allowed one wearer to handle grapes, peel a banana, and even feel his wife’s hand in his.
New research from the USC Viterbi School of Engineering could be key to our understanding of how the aging process works. The findings potentially pave the way for better cancer treatments and revolutionary new drugs that could vastly improve human health in the twilight years.
The work, from Assistant Professor of Chemical Engineering and Materials Science Nick Graham and his team in collaboration with Scott Fraser, Provost Professor of Biological Sciences and Biomedical Engineering, and Pin Wang, Zohrab A. Kaprielian Fellow in Engineering, was recently published in the Journal of Biological Chemistry.
“To drink from the fountain of youth, you have to figure out where the fountain of youth is, and understand what the fountain of youth is doing,” Graham said. “We’re doing the opposite; we’re trying to study the reasons cells age, so that we might be able to design treatments for better aging.”
Sometimes the best discoveries happen when scientists least expect it. While trying to replicate another team’s finding, Stanford physicists recently stumbled upon a novel form of magnetism, predicted but never seen before, that is generated when two honeycomb-shaped lattices of carbon are carefully stacked and rotated to a special angle.
The authors suggest the magnetism, called orbital ferromagnetism, could prove useful for certain applications, such as quantum computing. The group describes their finding in the July 25 issue of the journal Science.
“We were not aiming for magnetism. We found what may be the most exciting thing in my career to date through partially targeted and partially accidental exploration,” said study leader David Goldhaber-Gordon, a professor of physics at Stanford’s School of Humanities and Sciences. “Our discovery shows that the most interesting things turn out to be surprises sometimes.”
Central London’s freshwater sources contain high levels of antibiotic resistant genes, with the River Thames having the highest amount, according to research by UCL.
The Regent’s Canal, Regent’s Park Pond and the Serpentine all contained the genes but at lower levels than the Thames, which contained genes providing resistance for bacteria to common antibiotics such as penicillin, erythromycin and tetracycline.
The genes come from bacteria in human and animal waste. When antibiotics are taken by humans much of the drug is excreted into the sewer system and then into freshwater sources. The presence of antibiotics in these water sources provides an environment where microbes carrying the resistance genes can multiply quicker and share their resistance with other microbes.
For the cells in our bodies to function as a unit, they must communicate with one another constantly. They secrete signalling molecules—ions, proteins and nucleic acids—that are picked up by adjacent cells, which in turn pass on the signal to other cells. Our muscles, digestive system and brain are only able to function thanks to this type of communication. And this is the only way in which our immune system can recognise pathogens or infected cells and react accordingly—again, by sending out signals to mobilise the immune defences. If something goes wrong with this signalling between cells, it can lead to diseases such as cancer or autoimmune disorders. “This is why it is important to research which signals the cells send out in which situations,” says Morteza Aramesh. The biophysicist, who works in the Laboratory of Biosensors and Bioelectronics at ETH Zurich, has developed a new method that does precisely that: it listens to communication between individual cells.
An innovative nanosensor
Although it has been possible to measure these signals in the past, it could only be done for entire populations of hundreds or thousands of cells. The methods were not sensitive enough to use on individual cells, meaning that the signalling molecules from individual cells were submerged into the average of the total cell population: “It was impossible to detect differences between cells in order to identify diseased cells, for instance,” says Aramesh.
Abstract: The large, error-correcting quantum computers envisioned today could be decades away, yet experts are vigorously trying to come up with ways to use existing and near-term quantum processors to solve useful problems despite limitations due to errors or “noise.”
A key envisioned use is simulating molecular properties. In the long run, this can lead to advances in materials improvement and drug discovery. But not with noisy calculations confusing the results.
Now, a team of Virginia Tech chemistry and physics researchers have advanced quantum simulation by devising an algorithm that can more efficiently calculate the properties of molecules on a noisy quantum computer. Virginia Tech College of Science faculty members Ed Barnes, Sophia Economou, and Nick Mayhall recently published a paper in Nature Communications detailing the advancement.