CLOSE
Original image

How Do Painkillers Find & Kill Pain?

Original image

First, we need to make a distinction between the two main classes of painkillers, which are used for different situations and function via different mechanisms.

The first class is the narcotic opioid drugs. These are the heavy-duty drugs, like morphine and codeine, used to treat severe pain. They relieve pain in two ways: first by interfering with and blocking the transmission of pain signals to the brain, and then by working in the brain to alter the sensation of pain. These drugs neither find nor kill pain, but reduce and alter the user's perception of the pain. They're kind of like having an optimistic friend that says, "Hey man, everything will be cool. Nothing's wrong. Here, look at this shiny, distracting thing!"

The other class is the aspirin drugs, like paracetamol and ibuprofen. These are the over the counter drugs we reach for whenever we've got a headache or a sore back. Throughout history, people all over the world were using botanical remedies for pain. The ancient Egyptians used leaves from the myrtle bush, Europeans chewed on hunks of willow bark and Native Americans did the same with birch bark. In the nineteenth century, scientists isolated the chemical in all these plants that gave them their pain relieving properties: salicin (which is metabolized to salicylic acid when consumed). They also discovered that these chemicals produced the side effect of horrendous digestive problems (which answers that other burning question, "Why is that Native American in that old commercial crying?").

bayer.jpgEventually, a scientist at Bayer Pharmaceutical synthesized a less harmful derivative chemical, acetylsalicylic acid (ASA). Bayer dubbed it Aspirin and commercialized it. Hoffmann went on to develop a "non-addictive" substitute for morphine. The resulting product, heroin, was less successful than aspirin. [Bayer image courtesy of Wacky Packages.]

Despite its long history, we didn't discover how aspirin works until the early 1970s. Unlike narcotics, aspirin drugs are real workhorses that actually go to the source of pain and stop it. When cells are damaged, they produce large quantities of an enzyme called cyclooxygenase-2. This enzyme, in turn, produces chemicals called prostaglandins, which send pain signals to the brain. They also cause the area that has been damaged to release fluid from the blood to create a cushion so the damaged cells don't take any more of a beating. This cushion is the swelling and inflammation that goes along with our aches and pains. When we take aspirin, it dissolves in our stomachs and travels through the whole body via the bloodstream. Although it's everywhere, it only works its magic at the site of cell damage by binding to the cylooxygenase-2 enzymes and stopping them from prostaglandins. No more prostaglandins means no more pain signals. The cells at the damage site, of course, are still damaged, but we're left blissfully unaware.

This prostaglandin-stopping power is also why people take aspirin regularly to reduce the risk of heart attacks, since prostaglandins in the bloodstream can cause clotting. Additionally, aspirin reduces the production of thromboxane, a chemical that makes platelets, a type of blood cell, sticky. With aspirin in our systems, platelets make less thromboxane and are less likely to form a clot and block an artery.

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

Original image
Stephen Missal
crime
arrow
New Evidence Emerges in Norway’s Most Famous Unsolved Murder Case
May 22, 2017
Original image
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]

SECTIONS
BIG QUESTIONS
BIG QUESTIONS
JOB SECRETS
QUIZZES
WORLD WAR 1
SMART SHOPPING
STONES, BONES, & WRECKS
#TBT
THE PRESIDENTS
WORDS
RETROBITUARIES