from the world's big
Ricky Gervais on Science and History
Ricky Gervais is an English comedian, author, actor, director, producer, screenwriter and former pop musician. He achieved mainstream fame with his television series The Office and the subsequent series Extras, both of which he co-wrote and co-directed with friend and collaborator, Stephen Merchant. Besides writing and directing the shows, Gervais also played the lead roles of David Brent in The Office and Andy Millman in Extras. Gervais has also appeared in several Hollywood films, including For Your Consideration, Stardust, Night at the Museum and Ghost Town.
Question: What do you make of smart people?
Gervais: Yeah. I was talking to Karl Pilkington about Einstein. And he went, “What was so great about him?” I said, “Well, you know, he formulated these amazing theories, obviously, relativity.” And he went, “Yeah, I sort of read about that.” He said, “Thing is, E equals MC squared is you should have never used that in my life.” He said, “The bloke who invented the video recorder…” He said, “I watched one week.” Brilliant. Nailed Einstein, slammed.
Question: What will the stand-up routine Science be like?
Gervais: Yeah. Well, it’s… it’s an exploration to everything rational and non-rational. So I look into things like, you know, racism, homophobia, the Bible, you know, all the classic… all the classics there, Hitler. Yeah. And I just… I got to talk to people for an hour or so, so… I mean, it’s… it’s sort of classic observational comedy, done with a little twist, really.
The comedian offers a preview of the stand-up routine, Science.
Duke University researchers might have solved a half-century old problem.
- The blend of three polymers provides enough flexibility and durability to mimic the knee.
- The next step is to test this hydrogel in sheep; human use can take at least three years.
Photo: Feichen Yang.<p>That's the word from a team in the Department of Chemistry and Department of Mechanical Engineering and Materials Science at Duke University. Their <a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/adfm.202003451" target="_blank">new paper</a>, published in the journal,<em> Advanced Functional Materials</em>, details this exciting evolution of this frustrating joint.<br></p><p>Researchers have sought materials strong and versatile enough to repair a knee since at least the seventies. This new hydrogel, comprised of three polymers, might be it. When two of the polymers are stretched, a third keeps the entire structure intact. When pulled 100,000 times, the cartilage held up as well as materials used in bone implants. The team also rubbed the hydrogel against natural cartilage a million times and found it to be as wear-resistant as the real thing. </p><p>The hydrogel has the appearance of Jell-O and is comprised of 60 percent water. Co-author, Feichen Yang, <a href="https://today.duke.edu/2020/06/lab-first-cartilage-mimicking-gel-strong-enough-knees" target="_blank">says</a> this network of polymers is particularly durable: "Only this combination of all three components is both flexible and stiff and therefore strong." </p><p> As with any new material, a lot of testing must be conducted. They don't foresee this hydrogel being implanted into human bodies for at least three years. The next step is to test it out in sheep. </p><p>Still, this is an exciting step forward in the rehabilitation of one of our trickiest joints. Given the potential reward, the wait is worth it. </p><p><span></span>--</p><p><em>Stay in touch with Derek on <a href="http://www.twitter.com/derekberes" target="_blank">Twitter</a>, <a href="https://www.facebook.com/DerekBeresdotcom" target="_blank">Facebook</a> and <a href="https://derekberes.substack.com/" target="_blank">Substack</a>. His next book is</em> "<em>Hero's Dose: The Case For Psychedelics in Ritual and Therapy."</em></p>
What would it be like to experience the 4th dimension?
- 10-15% of people visiting emergency rooms eventually develop symptoms of long-lasting PTSD.
- Early treatment is available but there's been no way to tell who needs it.
- Using clinical data already being collected, machine learning can identify who's at risk.
70 data points and machine learning
Image source: Creators Collective/Unsplash
Image source: Külli Kittus/Unsplash