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March of Dimes/Library of Congress via Wikimedia // Public Domain

Virginia Apgar, the Woman Whose Name Saves Newborns

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March of Dimes/Library of Congress via Wikimedia // Public Domain

How important is Dr. Virginia Apgar to the modern practice of obstetrics? Here is the way the National Library of Medicine’s website puts it: “[E]very baby born in a modern hospital anywhere in the world is looked at first through the eyes of Dr. Virginia Apgar.”

Apgar created a quick and reliable way to determine the health of a newborn baby, an examination that is usually referred to today as a baby’s Apgar test. Before her test, invented in 1952, there was no objective way to determine the health of a newborn, and babies were given little medical attention immediately after birth. Problems often escaped notice until they became critical.

To determine an Apgar score, a nurse, midwife, or physician examines the baby for five criteria—skin color, heart rate, reflexes, muscle tone, and breathing—at both one minute and five minutes after birth (and sometimes in further follow-up tests). Each criterion is given zero, one, or two points. A score over seven is considered normal. A score below three is seriously low. Babies often have lower scores at one minute after birth, but by five minutes have perked up and score in the normal range.

Because a common mnemonic for the criteria uses the letters APGAR (appearance, pulse, grimace, activity, and respiration) to create a “backronym,” or retrofitted acronym, many people do not realize Apgar is an eponym—named after a person. Apgar herself was often amused when people were surprised to find she was a real individual.

But in person, Virginia Apgar was hard to forget. She was a pioneer in several fields of medicine, helping to establish anesthesiology as a medical specialty, working to study and improve obstetrical anesthesia, and advancing the study of birth defects. She helped organize and administer the first Division of Anesthesia at Columbia University College of Physicians & Surgeons, her alma mater, and became the first woman to be a full professor there.

As a teacher of medicine, Apgar was known for her uninhibited sense of humor and could talk about anything without embarrassment. Because her own tailbone was at an odd angle, she would have medical students feel for it to help them learn how to administer spinal anesthetics. She always traveled with a resuscitation kit that included a penknife and an endotracheal tube (a plastic tube inserted into the windpipe to ventilate the lungs). "Nobody, but nobody, is going to stop breathing on me!" she reportedly declared.

In the late 1950s, after Apgar had already made a name for herself with her work in anesthesiology and the creation of the Apgar score, she turned her attention to the study and prevention of birth defects. She was asked to join what was then the National Foundation for Infantile Paralysis-March of Dimes (now simply the March of Dimes), which started researching and advocating for those with birth defects after it met its original goal of creating a vaccine against polio. As a director and later vice president at the March of Dimes, Apgar championed research that showed how factors such as infectious diseases, radiation exposure, substance abuse, and chemical exposure could cause birth defects. In her years with the organization, she also traveled the country speaking and calling attention to the issue of birth defects.

Outside of medicine, Apgar was a gardener, fly fisherman, and took flying lessons. Throughout her life, she was an excellent amateur violinist who often played in chamber ensembles. She even learned to make stringed instruments, including violins, a viola, and a cello.

In fact, her work as an amateur luthier even led her to a short career as a thief. In 1957, a musician friend noticed that a maple shelf in a phone booth at Columbia-Presbyterian Medical Center would make an excellent back for a viola. The friend and Apgar set out to take the shelf at night and replace it with another piece of wood, which they managed to stain to just the right color. But the piece they brought was slightly too long, and needed to be shortened. While her friend went into a nearby ladies’ room to do the sawing, Apgar guarded the door. The piece became the back of Apgar’s viola, and was one of four instruments she handcrafted that were played by pediatricians at a 1994 ceremony to honor a commemorative U.S. stamp with Apgar’s image. (The instruments were later donated to Columbia, where they can still be rented.)

Virginia Apgar died of liver disease at the age of 65 in 1974, but her name lives on around the world—even though many don’t know it—in the life-saving score she designed for infants.

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iStock // Ekaterina Minaeva
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technology
Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
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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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iStock
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Live Smarter
Working Nights Could Keep Your Body from Healing
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iStock

The world we know today relies on millions of people getting up at sundown to go put in a shift on the highway, at the factory, or in the hospital. But the human body was not designed for nocturnal living. Scientists writing in the journal Occupational & Environmental Medicine say working nights could even prevent our bodies from healing damaged DNA.

It’s not as though anybody’s arguing that working in the dark and sleeping during the day is good for us. Previous studies have linked night work and rotating shifts to increased risks for heart disease, diabetes, weight gain, and car accidents. In 2007, the World Health Organization declared night work “probably or possibly carcinogenic.”

So while we know that flipping our natural sleep/wake schedule on its head can be harmful, we don’t completely know why. Some scientists, including the authors of the current paper, think hormones have something to do with it. They’ve been exploring the physiological effects of shift work on the body for years.

For one previous study, they measured workers’ levels of 8-OH-dG, which is a chemical byproduct of the DNA repair process. (All day long, we bruise and ding our DNA. At night, it should fix itself.) They found that people who slept at night had higher levels of 8-OH-dG in their urine than day sleepers, which suggests that their bodies were healing more damage.

The researchers wondered if the differing 8-OH-dG levels could be somehow related to the hormone melatonin, which helps regulate our body clocks. They went back to the archived urine from the first study and identified 50 workers whose melatonin levels differed drastically between night-sleeping and day-sleeping days. They then tested those workers’ samples for 8-OH-dG.

The difference between the two sleeping periods was dramatic. During sleep on the day before working a night shift, workers produced only 20 percent as much 8-OH-dG as they did when sleeping at night.

"This likely reflects a reduced capacity to repair oxidative DNA damage due to insufficient levels of melatonin,” the authors write, “and may result in cells harbouring higher levels of DNA damage."

DNA damage is considered one of the most fundamental causes of cancer.

Lead author Parveen Bhatti says it’s possible that taking melatonin supplements could help, but it’s still too soon to tell. This was a very small study, the participants were all white, and the researchers didn't control for lifestyle-related variables like what the workers ate.

“In the meantime,” Bhatti told Mental Floss, “shift workers should remain vigilant about following current health guidelines, such as not smoking, eating a balanced diet and getting plenty of sleep and exercise.”

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