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14 of History’s Craziest Baldness Cures

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ThinkStock

When your hairline starts to retreat, you’ll do whatever it takes to keep your head from turning into a volleyball. If Rogaine fails you, there are always these quack remedies from the past.  

1. Ancient Egypt

According to The Ebers Papyrus (a medical script from c. 1550 BCE), mix the fat of a hippo with some crocodile, tomcat, snake, and ibex fat. If that fails, boil porcupine hair and apply it to your scalp for four days. 

2. Ancient Greece

Hippocrates swore by a mixture of opium, horseradish, pigeon droppings, beetroot, and spices. If that’s not your cup of tea, stick to Aristotle’s method—goat urine.

3. Ancient Rome

When Julius Caesar’s dome started to thin, Cleopatra suggested he cook up a lotion of ground up mice, horse teeth, and bear grease. Another Roman recipe: 1) take the genitals of a donkey, 2) burn them into ash, 3) mix the ash with your urine, and 4) apply liberally!

4. Vikings

Viking Legend suggests smearing your dome with a dollop of goose poop.

5. Celtic Druids

Catch a raven, burn it, and mix the ashes in sheep suet. (Centuries later, the Irish and Brits started scrubbing their scalps with onions instead—obvious progress.)  

6. Eighth Century China

According to the Encyclopedia of Hair (which we assume is the authority on these sorts of things), the Chinese blended safflower oil, rosemary, and herbs with mashed animal testes.

7. India

It’s simple, guys: Do a headstand.

8. Native Americans

Some tribes believed a poultice of chicken dung or cow manure would do the trick.

9. King Henry VIII

Although Native Americans swore by animal dung, the big man across the pond thought otherwise. He slathered his dome with dog and horse urine.

10. Scientific American

What can’t music do? Here’s an excerpt from an 1896 Scientific American:  

While stringed instruments prevent and check the falling out of the hair, brass instruments have the most injurious effects upon it. The piano and the violin, especially the piano, have an undoubted preserving influence ... on the contrary, the brass instruments have results that are deplorable.

11. Ninteenth Century French Psychologists

Just wish the baldness away! Èmile Couè believed positive thinking—called autosuggestion—could fix almost anything. He wrote:

On our heads are small depressions called follicles, depressions from which the hair grows. When they lose their elasticity, their hair falls out. When autosuggestion begins to work, these follicles begin to close up and to secrete normally, and soon the hair grows.

12. Swiss Farmers

In 1988, the Sun tabloid publicized a baldness cure discovered by Swiss farmer Gerhardt Flit. The cure? Bat milk. It cost $3500 per ounce.

13. Colombian Farmers

On the flip side of the world, a Colombian farmer touts his own cure—bovine saliva. It’s literally a cowlick.  

14. Eunuchs

Castration! Unlike the rest of these, this one actually works. (It doesn’t cure baldness, per se, but studies show it will prevent shedding if you’re under 25.)

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iStock // Ekaterina Minaeva
technology
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Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
May 21, 2017
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iStock // Ekaterina Minaeva

Jacques Mattheij made a small, but awesome, mistake. He went on eBay one evening and bid on a bunch of bulk LEGO brick auctions, then went to sleep. Upon waking, he discovered that he was the high bidder on many, and was now the proud owner of two tons of LEGO bricks. (This is about 4400 pounds.) He wrote, "[L]esson 1: if you win almost all bids you are bidding too high."

Mattheij had noticed that bulk, unsorted bricks sell for something like €10/kilogram, whereas sets are roughly €40/kg and rare parts go for up to €100/kg. Much of the value of the bricks is in their sorting. If he could reduce the entropy of these bins of unsorted bricks, he could make a tidy profit. While many people do this work by hand, the problem is enormous—just the kind of challenge for a computer. Mattheij writes:

There are 38000+ shapes and there are 100+ possible shades of color (you can roughly tell how old someone is by asking them what lego colors they remember from their youth).

In the following months, Mattheij built a proof-of-concept sorting system using, of course, LEGO. He broke the problem down into a series of sub-problems (including "feeding LEGO reliably from a hopper is surprisingly hard," one of those facts of nature that will stymie even the best system design). After tinkering with the prototype at length, he expanded the system to a surprisingly complex system of conveyer belts (powered by a home treadmill), various pieces of cabinetry, and "copious quantities of crazy glue."

Here's a video showing the current system running at low speed:

The key part of the system was running the bricks past a camera paired with a computer running a neural net-based image classifier. That allows the computer (when sufficiently trained on brick images) to recognize bricks and thus categorize them by color, shape, or other parameters. Remember that as bricks pass by, they can be in any orientation, can be dirty, can even be stuck to other pieces. So having a flexible software system is key to recognizing—in a fraction of a second—what a given brick is, in order to sort it out. When a match is found, a jet of compressed air pops the piece off the conveyer belt and into a waiting bin.

After much experimentation, Mattheij rewrote the software (several times in fact) to accomplish a variety of basic tasks. At its core, the system takes images from a webcam and feeds them to a neural network to do the classification. Of course, the neural net needs to be "trained" by showing it lots of images, and telling it what those images represent. Mattheij's breakthrough was allowing the machine to effectively train itself, with guidance: Running pieces through allows the system to take its own photos, make a guess, and build on that guess. As long as Mattheij corrects the incorrect guesses, he ends up with a decent (and self-reinforcing) corpus of training data. As the machine continues running, it can rack up more training, allowing it to recognize a broad variety of pieces on the fly.

Here's another video, focusing on how the pieces move on conveyer belts (running at slow speed so puny humans can follow). You can also see the air jets in action:

In an email interview, Mattheij told Mental Floss that the system currently sorts LEGO bricks into more than 50 categories. It can also be run in a color-sorting mode to bin the parts across 12 color groups. (Thus at present you'd likely do a two-pass sort on the bricks: once for shape, then a separate pass for color.) He continues to refine the system, with a focus on making its recognition abilities faster. At some point down the line, he plans to make the software portion open source. You're on your own as far as building conveyer belts, bins, and so forth.

Check out Mattheij's writeup in two parts for more information. It starts with an overview of the story, followed up with a deep dive on the software. He's also tweeting about the project (among other things). And if you look around a bit, you'll find bulk LEGO brick auctions online—it's definitely a thing!

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Stephen Missal
crime
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New Evidence Emerges in Norway’s Most Famous Unsolved Murder Case
May 22, 2017
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A 2016 sketch by a forensic artist of the Isdal Woman
Stephen Missal

For almost 50 years, Norwegian investigators have been baffled by the case of the “Isdal Woman,” whose burned corpse was found in a valley outside the city of Bergen in 1970. Most of her face and hair had been burned off and the labels in her clothes had been removed. The police investigation eventually led to a pair of suitcases stuffed with wigs and the discovery that the woman had stayed at numerous hotels around Norway under different aliases. Still, the police eventually ruled it a suicide.

Almost five decades later, the Norwegian public broadcaster NRK has launched a new investigation into the case, working with police to help track down her identity. And it is already yielding results. The BBC reports that forensic analysis of the woman’s teeth show that she was from a region along the French-German border.

In 1970, hikers discovered the Isdal Woman’s body, burned and lying on a remote slope surrounded by an umbrella, melted plastic bottles, what may have been a passport cover, and more. Her clothes and possessions were scraped clean of any kind of identifying marks or labels. Later, the police found that she left two suitcases at the Bergen train station, containing sunglasses with her fingerprints on the lenses, a hairbrush, a prescription bottle of eczema cream, several wigs, and glasses with clear lenses. Again, all labels and other identifying marks had been removed, even from the prescription cream. A notepad found inside was filled with handwritten letters that looked like a code. A shopping bag led police to a shoe store, where, finally, an employee remembered selling rubber boots just like the ones found on the woman’s body.

Eventually, the police discovered that she had stayed in different hotels all over the country under different names, which would have required passports under several different aliases. This strongly suggests that she was a spy. Though she was both burned alive and had a stomach full of undigested sleeping pills, the police eventually ruled the death a suicide, unable to track down any evidence that they could tie to her murder.

But some of the forensic data that can help solve her case still exists. The Isdal Woman’s jaw was preserved in a forensic archive, allowing researchers from the University of Canberra in Australia to use isotopic analysis to figure out where she came from, based on the chemical traces left on her teeth while she was growing up. It’s the first time this technique has been used in a Norwegian criminal investigation.

The isotopic analysis was so effective that the researchers can tell that she probably grew up in eastern or central Europe, then moved west toward France during her adolescence, possibly just before or during World War II. Previous studies of her handwriting have indicated that she learned to write in France or in another French-speaking country.

Narrowing down the woman’s origins to such a specific region could help find someone who knew her, or reports of missing women who matched her description. The case is still a long way from solved, but the search is now much narrower than it had been in the mystery's long history.

[h/t BBC]

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