Lifeboat Foundation

Steroid-based inhalers deliver life-saving medication for millions of asthma sufferers, providing relief and the ability to simply breathe. Unfortunately, inhalers do not work for all patients, and with rates on the rise for a disease that leads to hundreds of thousands of deaths world-wide each year, new asthma treatments and strategies are needed.

A team of UConn researchers—including Assistant Professor of Chemistry in the College of Liberal Arts and Sciences Jessica Rouge and Associate Professor of Pathobiology in the College of Agriculture, Health, and Natural Resources Steven Szczepanek—are collaborating to develop novel asthma therapeutics using gene-silencing nanocapsules in a bid to help patients who aren’t benefiting from existing treatments. Their research was published in ACS Nano.

“When treating asthma, many people think of small molecule anti-inflammatory medications as the way to go, but there are plenty of patients who have asthma who do not respond to corticosteroids,” says Rouge. “There’s an unmet need for creating different therapeutics that can suppress asthma for this group of people.”

A 21st Century Mystery School — “Creating New Paradigms In Wellness And Wisdom Never Seen Before, And Never More Needed Than Now” — Dr. Dennis McKenna, Founder, McKenna Academy of Natural Philosophy.

Dr. Dennis McKenna is an American ethnopharmacologist, research pharmacognosist, lecturer, author, and Founder of the McKenna Academy of Natural Philosophy (www.mckenna.academy).

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Where is it coming from?

A new paper reveals that the Voyager 1 spacecraft detected a constant hum coming from outside our Solar System.

In a study released today (August 11 2021), NASA

Established in 1,958 the National Aeronautics and Space Administration (NASA) is an independent agency of the United States Federal Government that succeeded the National Advisory Committee for Aeronautics (NACA). It is responsible for the civilian space program, as well as aeronautics and aerospace research. It’s vision is “To discover and expand knowledge for the benefit of humanity.”

Although we expect the Ford Mustang Mach-E will be a hit, the reality that Ford emblazoned its all-electric crossover with a pony logo and the historic Mustang brand has turned off many fanatics. The answer is still out on whether the Mach-E will be a long-term plus or bad for the Mustang. Lichen Zhang, who regularly shares some cool-looking vehicle designs, has created this futuristic Ford Mustang EV. As a result, this design lacks the classic style we’ve come to anticipate from Mustangs in previous generations, while there are some clues of the past, notably in the front end. With a steeply sloped roof, huge haunches, and the kind of visage that reinforces the idea it’s after our lunch money, this 2,030 Ford Mustang EV “prototype” is surely a head-turner. The shape has a prominent beltline that leads to a somewhat narrow cockpit, making it difficult to seat two people side by side. Moreover, the rear end features an entirely new take on the Mustang’s renowned tri-bar taillights, which appear as if a wild animal has just scratched them somewhat. Nonetheless, this futuristic 2,030 Ford Mustang EV drawing signals a whole new trend in Mustang aesthetics, and we have to question if it’s a viable possibility. Anything is possible, considering The Blue Oval’s bravery in calling a battery-electric crossover a Mustang and the intrepid design of the current, third-gen Ford GT.Returning to reality for a moment, there is already a Ford Mustang EV in the form of the Mach-E, and we’re convinced that a hybrid will follow in the coming years. The hybrid, which will appear with the next-generation Mustang in 2,023 will, nevertheless, probably dominate much, if not all, of its gas-powered sibling’s appearance. We wouldn’t count out a major shift in automobile design as the industry switches to battery electric power.

Doubtful. But, i hope so, it will convince them to spend more money here to move AI research faster.

TOKYO — China is overtaking the U.S. in artificial intelligence research, setting off alarm bells on the other side of the Pacific as the world’s two largest economies jockey for AI supremacy.

In 2,020 China topped the U.S. for the first time in terms of the number of times an academic article on AI is cited by others, a measure of the quality of a study. Until recently, the U.S. had been far ahead of other countries in AI research.

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Do you agree?

In the future, when space agencies start to send human crews deep into space to explore or terraform distant worlds, we may need to send them off with extra goodies to keep morale high.

When astronauts are feeling lonely, depressed, traumatized, or just generally bad, a little pick-me-up in the form of psychedelic mushrooms could help, mycologist Paul Stamets suggested to Scientific American. It’s an odd idea, but as the body of evidence continues to grow that psilocybin — the active ingredient in shrooms — may have myriad mental health benefits, it may be an odd idea worth considering.

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In an extract from his new book, Sergey Young discusses how tech will deliver early diagnoses, radically reducing disease and death.

In other words, the mix of positives and negatives puts this potent new suite of technologies on a knife-edge. Do we have confidence that a handful of companies that have already lost public trust can take AI in the right direction? We should have ample reason for worry considering the business models driving their motivations. To advertising-driven companies like Google and Facebook, it’s clearly beneficial to elevate content that travels faster and draws more attention—and misinformation usually does —while micro-targeting that content by harvesting user data. Consumer product companies, such as Apple, will be motivated to prioritize AI applications that help differentiate and sell their most profitable products—hardly a way to maximize the beneficial impact of AI.

Yet another challenge is the prioritization of innovation resources. The shift online during the pandemic has led to outsized profits for these companies, and concentrated even more power in their hands. They can be expected to try to maintain that momentum by prioritizing those AI investments that are most aligned with their narrow commercial objectives while ignoring the myriad other possibilities. In addition, Big Tech operates in markets with economies of scale, so there is a tendency towards big bets that can waste tremendous resources. Who remembers IBM’s Watson initiative? It aspired to become the universal, go-to digital decision tool, especially in healthcare—and failed to live up to the hype, as did the trendy driverless car initiatives of Amazon and Google parent Alphabet. While failures, false starts, and pivots are a natural part of innovation, expensive big failures driven by a few enormously wealthy companies divert resources away from more diversified investments across a range of socially productive applications.

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