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"You Don't Have to Whisper": Memories from the early days of AIDS

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In 2003, Dave Isay created StoryCorps to record intimate interviews between loved ones and friends. In 2007, StoryCorps published 50 of their favorite stories in the New York Times best-seller Listening Is an Act of Love. We'll let them take it from here:
story corps pb.pngAround twenty-five years ago, scientists Luc Montagnier and Robert Gallo both claimed to discover the virus that causes AIDS—eventually called HIV. And while the history of AIDS in America is filled with famous stories, including Ryan White's, Pedro Zamora's, and Magic Johnson's, the lives of the little-known AIDS victims—those whose stories do not involve money, fame or power—are quieter. They are depicted in quilt squares and in home movies, and they are carried in the hearts of those who loved them.
Mary Caplan remembers the particular silence of the early days of the epidemic. Her brother, Tom, discovered that he was HIV positive after having cared for and lost his partner to AIDS in a hospital; he was wary of meeting the same fate. Mary, a nurse, vowed not to let him die in a hospital and took control of his care. It didn't take long for his disease to progress, and soon the end days were upon them.

I brought him home and [my] children were there. We all took care of him.  I promised him I wouldn't leave the room, so they would bring me up sandwiches.  I had to call my mother.  I had to tell her he was gay, that he had AIDS, and he was dying all at once. I sat with Tom and I said, "You know, whenever you want to go, it's okay.  I'll take care of Mom and I'll take care of everything."  And then he didn't go and then I said, "Tom, I don't want you to think I'm rushing you, so you don't have to go."

I can't sing, and everyone knows I can't sing, and it was a big joke in the family.  But I found myself, like I did with my children, singing lullabies.  And I sang "Tura, Lura, Lura" to him one time and I was so off key and when I finished I kissed his forehead and I said, "I'm sorry.  I know that wasn't very good."  And then I went into the bathroom.  And when I came back he wasn't breathing. He died the moment I left.

Grief is you get up the next day and you see the sun, and you say, "Will I ever again think the sun is beautiful?" And all the normal parts of grieving. But the other parts that were so hard was I had this very educated woman come up to me and say, "Well, don't you think maybe God is telling us something by letting homosexuals die by this disease?" I wanted to slap her. I wanted to physically harm her.  And I just said, "No, I don't think so."

One day I went to a card shop and there was a gay young man who worked there. I was buying a sympathy card—another sympathy card—for one of Tom's friends.  And this young man said something, and I said, "Well, I take care of my brother's friend. My brother died of AIDS." I said it in a whisper.  He said, "You don't have to whisper to me." And he came around the counter and hugged me.  And I didn't know him, but I loved him.

Like this piece? Be sure to check out Tuesday's touching post about kindness in the Great Depression, here. And if you'd like more stories from StoryCorps, pick up a copy of Listening Is an Act of Love today. To hear additional clips, visit the StoryCorps website or tune in to NPR's Morning Edition on Fridays.

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iStock // Ekaterina Minaeva
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
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]