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Blog – Page 36

03/14/56, episode 42
This episode provided by the Old Time Radio Researchers Group.
www.otrr.org.

I’ve had bad mornings, but not like this. Guy Berkhart wakes up screaming on June 15. He dreams of an explosion and something hitting his head. The same thing happens again the next day, and the next day, and the next. IEEEEEE. Only two people aren’t affected by this “deja vu all over again.” (Quoting Yogi Berra, not the writer of this story, Frederik Pohl.) A combination of Halloween III, Invasion Of The Body Snatchers, and Groundhog Day. You’re led to think one thing, then another, then another twist. (from “The Critical X Minus One” by Jim Fanisher)

Credits (Goldin): Frederick Pohl (author), Fred Collins (announcer), George Lefferts (adaptor), John Larkin (narrator), Daniel Sutter (director), Les Damon, Ginger Jones, Bob Hastings, Connie Lembcke, Stan Early, Kermit Murdock, William Welch (producer)

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An animated introduction to the Fourier Transform.
Help fund future projects: https://www.patreon.com/3blue1brown.
An equally valuable form of support is to simply share some of the videos.
Special thanks to these supporters: http://3b1b.co/fourier-thanks.
Learn more about Janestreet: https://janestreet.com/3b1b.

Follow-on video about the uncertainty principle: https://youtu.be/MBnnXbOM5S4

Interactive made by a viewer inspired by this video:
https://prajwalsouza.github.io/Experiments/Fourier-Transform-Visualization.html.

Also, take a look at this Jupyter notebook implementing this idea in a way you can play with:
https://github.com/thatSaneKid/fourier/blob/master/Fourier%2…tion.ipynb.

Thanks to these viewers for their contributions to translations.
Hebrew: Omer Tuchfeld.
Russian: xX-Masik-Xx.
Vietnamese: @ngvutuan2811

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Continue reading “But what is the Fourier Transform? A visual introduction” | >

A new study found that a gene recently recognized as a biomarker for Alzheimer’s disease is actually a cause of it, due to its previously unknown secondary function. Researchers at the University of California San Diego used artificial intelligence to help both unravel this mystery of Alzheimer’s disease and discover a potential treatment that obstructs the gene’s moonlighting role.

The research team published their results on April 23 in the journal Cell.

About one in nine people aged 65 and older has Alzheimer’s disease, the most common cause of dementia. While some particular , when mutated, can lead to Alzheimer’s, that connection only accounts for a small percentage of all Alzheimer’s patients. The vast majority of patients do not have a mutation in a known disease-causing gene; instead, they have “spontaneous” Alzheimer’s, and the causes for that are unclear.

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In today’s interconnected world, infectious diseases pose an escalating threat, as demonstrated by the coronavirus pandemic and outbreaks of H1N1, SARS, Ebola, Zika, and H5N1 (bird flu) viruses—all of which have had significant global health and economic impacts.

But more common viral diseases also contribute to global health challenges and economic costs. For example, seasonal influenza epidemics occur annually, causing a substantial global disease burden and economic losses exceeding $11.2 billion each year in the United States alone. Meanwhile, herpes simplex virus-1 (HSV-1), spread primarily through oral contact, infects over two-thirds of the global population and is the leading cause of infectious blindness in Western countries.

Low vaccination rates for influenza viruses and the lack of an HSV vaccine underscore the need for a new approach—one that targets reducing viral loads at the sites where transmission occurs. And for viruses like these, which are transmitted more efficiently through the mouth than the nose, this means focusing on the oral cavity.

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In a new study, researchers from the University of Copenhagen have successfully created stem cells that are better at developing into other cell types, like a younger, fitter version of themselves—by changing their diet. These stem cells are better than normal stem cells at creating specialized cells like liver, skin or nerve cells, which is a core trait of stem cells.

The study, “Altering metabolism programs cell identity via NAD+-dependent deacetylation” has been published in The EMBO Journal.

“We show that by changing their diet, the stem cells can rejuvenate and turn into ‘super stem cells.’ It forces them to metabolize their energy in a different way than they normally would, and that process essentially reprograms the stem cells,” says first author Robert Bone, Assistant Professor at the Novo Nordisk Foundation Center for Stem Cell Medicine, also known as reNEW.

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CINCINNATI (WKRC) — A commonly prescribed sleeping pill could be a powerful tool in preventing Alzheimer’s disease, according to recently published research.

The study, published in Annals of Neurology, was born from the long-standing scientific belief that poor sleep increases a person’s risk of Alzheimer’s. This belief came from the fact that sleep clears out wasteful proteins like amyloid-beta and tau, which Alzheimer’s patients often have a high build up of.

The study examined suvorexant, a sleeping pill regularly prescribed for insomnia, and observed its effects on clearing those waste proteins.

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PRESS RELEASE — Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they’re so different from today’s computers that scientists need to figure out the best ways to feed them information to take full advantage. The data must be packed in new ways, customized for quantum treatment.

Researchers at the Department of Energy’s Pacific Northwest National Laboratory have done just that, developing an algorithm specially designed to prepare data for a quantum system. The code, published recently on GitHub after being presented at the IEEE International Symposium on Parallel and Distributed Processing, cuts a key aspect of quantum prep work by 85 percent.

While the team demonstrated the technique previously, the latest research addresses a critical bottleneck related to scaling and shows that the approach is effective even on problems 50 times larger than possible with existing tools.

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