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8 Library Cats

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Libraries are wonderful places for people who love books, and wonderful places for cats to meet book lovers. There are an estimated 808 documented library cats, including 301 cats who currently reside in libraries around the world. Here are just a few.

1. Dewey

Dewey Readmore Books became the official cat of the Spencer Public Library in Spencer, Iowa in 1988. Someone had left him in the book return bin. Dewey faithfully executed the duties of a library cat: attending meetings, greeting patrons, and inspecting every box delivered, until his death in 2006, just after his 19th birthday. He proved to be such a popular addition to the library that people drove hundreds of miles to meet him. Library director Vicki Myron wrote a book about him, Dewey: The Small-Town Library Cat Who Touched the World. The book is going to be made into a movie, which will star Meryl Streep. Watch Dewey in action in this series of videos. Dewey's story has inspired other libraries to adopt cats, but while he may be the most famous, there are many other library cats.

2. Squeakers

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The Willet Memorial Library on the campus of Wesleyan College in Macon, Georgia was the home of Squeakers for nine years. Before becoming the library cat-in-residence, Squeakers roamed the campus for a decade. It is believed that Squeakers was 23 years old when she died in 2008. Squeakers would spend most of her time in her later years sitting in a comfy chair near the library entrance, so she could see everyone who came through the doors.

3. Browser

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Since 2002, Browser the blogging library cat has lived at the Pine River Library in Minnesota. He even moved along with the library to their new building. See more pictures of Browser at Flickr, and a video at YouTube.

4. Nyx

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Nyx is the resident cat at the Chesterfield County Public Library in Virginia. Nyx was born without eyeballs in May of 2008. She also has a stubby tail, possibly due to an injury. Nyx gets around by echolocation, meaning she produces sounds and is aware of how far they travel when they bounce back. Even when she is still, she has a loud purr. Nyx seems very happy at the library. The patrons and staff alike spoil her with attention and toys. Nyx has a Facebook page for her fans.

5. Belle

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Belle, the cat who lives in the Charles & Ona B. Free Memorial Library in Dublin, Virginia, may have to find another home. After three years of Belle having the run of the library, the Pulaski County Library Board discussed some complaints from library patrons about the cat. No action was taken at the time, but Belle fans became alarmed. They collected 787 signature (so far) on a petition to keep Belle.

6. Max

200max1.jpgMax achieved library cat status at the Hastings Branch Library (a branch of the Pasadena Public Library), without ever living there officially. Max had a home nearby with his owner Leah Thompson, but he visited the library so often that he was issued his own library card! Max would wait at the door until someone opened it and  walk in like he belonged there, from the early 80s until 1996. When Max stopped visiting, the library staff looked into his fate, and found his family had moved away. Presumably, Max found the public library in his new location.

7. Addison

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Addison lives at the Nash Library on the campus of the University of Science and Arts of Oklahoma in Chickasha, Oklahoma. Addison is more than just a library cat. She also is a fundraiser for Friends With Four Paws, an Oklahoma shelter for adoptable pets.

8. TLC

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TLC is short for Top Library Cat. He is the cat-in-residence at the Broken Bow Public Library in Broken Bow, Nebraska. TLC has it made, as this library has a working fireplace! That's where you'll find TLC spending his days in the winter months.

Meet more library cats worldwide with the help of the Library Cats Map.
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The companion to this post is a series on Bookstore Cats. See also: Five Famous Felines and Five Fantastic Felines.

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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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