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Genomic instability (mutations) has been suggested as being one of the primary hallmarks of aging and this research might support that idea. Researchers at John Hopkins report that around 66% of mutations in cancer cells are due to random errors with environment/lifestyle contributing 29% and 5% inherited.

“That finding challenges the common wisdom that cancer is the product of heredity and the environment. “There’s a third cause and this cause of mutations is a major cause,” says cancer geneticist Bert Vogelstein.”

“Such random mutations build up over time and help explain why cancer strikes older people more often. Knowing that the enemy will strike from within even when people protect themselves against external threats indicates that early cancer detection and treatment deserve greater attention than they have previously gotten, Vogelstein says.”

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The team tested their device on a prosthetic hand. When the skin patches on the skin were enabled, the prosthetic could touch and grab soft objects like a normal hand. But when the skin was not turned on, the hand crushed the objects.

The skin requires just 20 nanowatts of power per square centimeter, according to the paper. Right now, the energy captured by the photovoltaic cells has to be used immediately, but the team has another prototype in development that includes flexible supercapacitors to store excess energy.

They are also working on scaling up the material to cover larger areas of a prosthetic or robot, using a method the team pioneered in 2015 for inexpensively producing large sheets of graphene. Dahiya expects the skin will eventually be produced for just $1 for 5 to 10 centimeters of the material.

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Fasting might help T1 diabetics according to new research.


Periodic fasting has long been demonstrated to have beneficial effects on autoimmune disorders, cancer prevention and treatments, cardiovascular disease and a myriad of other ailments. This most recent paper by Cheng et al. may add the treatment of Type 1 diabetes to that list[1]. If successful in humans it has the potential to reverse some or most of the loss of insulin producing cells within the pancreas. Just as remarkable, the treatment itself is relatively straightforward, consisting of a regimented protocol of periodic fasting-like conditions.

Generally speaking, Type 1 diabetes results from an autoimmune mediated depletion of insulin secreting pancreatic beta islet cells. In contrast, Type 2 results from lower cellular sensitivity to insulin. Type 2 is primarily caused by environmental factors such as poor diet.

The current medical approach to treating Type 1 diabetes is the periodic administration of insulin, usually through self-administered injections. Most new therapies focused on curing Type 1 diabetes are looking to repopulating beta islet cells through the use of reprogrammed induced pluripotent stem (iPS) cells.

Tencent, Asia’s second highest valued tech firm, has bought a five percent share in Tesla. According to a filing, the Chinese firm scooped up 8,167,for around $1.7 billion to become one of Tesla’s largest shareholders.

The news itself sent Tesla’s share price up three percent in pre-market trading. The purchase was arranged on March 17, and those now-Tencent-owned shares are worth around $2.2 billion at current market value.

Tencent is a prolific investor. It holds equity in Snap, this year’s hot tech IPO, among others following an early investment. While that interest in messaging makes sense since Tencent’s operates China’s dominant chat app — WeChat — it isn’t immediately clear whether the Tesla investment has strategic undertones. An alliance with Tencent could significantly boost Tesla’s efforts in China, which is already impressive. Chinese sales accounted for 15 percent of Tesla’s $7 billion revenue last year.

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For a mind to be capable of tackling anything, it has to have a memory.

Humans are exceptionally good at transferring old skills to new problems. Machines, despite all their recent wins against humans, aren’t. This is partly due to how they’re trained: artificial neural networks like Google’s DeepMind learn to master a singular task and call it quits. To learn a new task, it has to reset, wiping out previous memories and starting again from scratch.

This phenomenon, quite aptly dubbed “catastrophic forgetting,” condemns our AIs to be one-trick ponies.

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