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7 Discoveries That Started as School Assignments

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Some schoolwork is worth more than a good grade. The young students behind these assignments earned recognition from scientists, paleontologists, and mathematicians in the real world. Here are seven class projects where the effects were felt far beyond the classroom.


For a middle school science project, Simon Kaschock-Marenda discovered that a sweetener found in most grocery stores doubles as a nontoxic insecticide. With help from his dad, Drexel University biology professor Daniel Marenda, Simon gave artificial sweeteners to fruit flies raised in their home. Of all the groups they studied, the flies fed Truvia had the shortest lifespan (5.8 days compared to 38 to 51 days). Daniel realized the significance of their findings and conducted further experiments at his work lab. Along with his colleagues, he identified the ingredient responsible—erythritol—and published the work in the journal PLOS ONE. The chemical compound won’t be replacing all synthetic pesticides anytime soon, but for small-scale applications it could be a safer alternative.


Minnesota teenager Ethan Manuell didn’t expect to make a major medical breakthrough when he was asked to make a science fair project. As he told USA Today, his main concern was getting a good grade. After receiving the assignment from his eighth grade science teacher, Mrs. Omland, Manuell started tinkering. Using materials he had at home—including old battery-operated toy bugs and the batteries from his hearing aid—he discovered a way to extend the lifespan of zinc hearing aid batteries by 85 percent.

Some hearing aid battery packages instruct users to remove the plastic tab on the back of the battery and let it sit for one minute. Manuell further tested this suggestion, allowing the tab-less batteries to sit for various amounts of time before testing their longevity in his vibrating toy bugs. He found that five minutes was the golden length of time needed to achieve maximum results.

The information is shared in doctor’s offices today. By using Manuell’s trick, hearing aid wearers can save an average of $70 a year on batteries.


A group of 8- to 10-year-olds from Blackawton Primary School in Blackawton, England may qualify as the youngest authors of a published scientific journal. The students conducted their research on the flower selection habits of bees in a local churchyard. The results, which they wrote up themselves, appeared in the respected Royal Society journal Biology Letters in 2010.

With their teacher, Dave Strudwick, and neuroscientist Dr. Beau Lotto as their mentors, the kids set up a color-coded, plexiglass box for bees to navigate. The puzzle contained two types of artificial flowers: one filled with sugar water and one with salt water. They discovered that “bumblebees can use a combination of color and spatial relationships in deciding which color of flower to forage from.” The findings suggest that bumblebees possess a more advanced awareness of their surroundings than some scientists give them credit for. Another takeaway from the study? “We also discovered that science is cool and fun because you get to do stuff that no one has ever done before,” the authors wrote.


Kevin Terris couldn’t have asked for better luck during a field trip he took as a 17-year-old. While scanning the ground for fossils at Grand Staircase-Escalante National Monument in Utah, the student spotted a baby dinosaur skull poking out of the dirt. Once the rest of the remains were uncovered, paleontologists concluded they belonged to the smallest and youngest duck-billed Parasaurolophus dinosaur ever recorded. They nicknamed the specimen “Joe.”

Terris and his classmates visited the dig site as part of a paleontology program at their California high school. The field had already been surveyed by experts when the students arrived, which makes the discovery even more impressive. After receiving his high school diploma, Terris went on to study geology in college. Joe, meanwhile, is on display at the Raymond M. Alf Museum of Paleontology in Claremont, California, after providing important insight into the development of duck-billed dinosaurs.


Getting out of the classroom and into nature led to a major discovery by middle school students at the Dedham School in Maine. Under the guidance of Vanderbilt University scientists via Skype, the students conducted an experiment on metridium (a type of sea anemone) they collected from the harbor. Their research revealed the presence of sulfilimine bonds in the creature’s structure, an observation that had never been made before.

While the bond is found in complex animals like mammals, it’s less common in simpler organisms. The students hypothesized that the quality is what prevents some creatures from regrowing limbs, while other animals like starfish are able to. “You see lots of war heroes that come back and they have a severed arm or a severed leg and so we can’t grow it back and we think maybe this has to do with that our cells are too bonded together: Maybe we need to loosen it up,” Dedham student Braedan Ward told WABI. Whether or not their hunch is proven correct, it's clear the budding scientists are asking the right questions.


When solving binomial expansions for his high school math class in 2013, sophomore Brock Brown could have used Pascal’s triangle like the rest of his classmates. Instead, he invented a brand-new theorem that allowed him to get homework done faster. His method eventually caught the attention of Ben Moulton, the math professor teaching Brock’s mother at Utah Valley University at the time. Moulton described the formula, now known as “Brock’s Theorem,” as an “elegant and simple” alternative to more common binomial theorems. The professor offered to develop a proof for Brock and later submitted it to the American Mathematical Association of Two-Year Colleges. Moulton and Brown presented their work at an Anaheim, California math conference in 2013.


In Dr. Robert Pergolizzi’s class at Bergen's Science and Technology Magnet School in New Jersey, students are given a lot of freedom. "There are no tests in this class, no homework," Pergolizzi told New Jersey News 12. Their only assignment is developing an original research project. Freshman student Joshua Meier took that prompt and ended up discovering a possible treatment for cancer.

Meier began his research by looking into the causes of rapid aging in artificially-generated stem cells. He discovered that synthetic stem cells are missing a third of their DNA, which makes them age faster. By controlling mitochondrial DNA deletion levels, he was able to slow the aging process.

As a junior, Meier used his findings to come up with a potential cancer treatment. Instead of slowing aging in stem cells, he realized he could reverse the process to expedite aging in cancer cells and stop them from growing. The research earned him second place at the Intel International Science and Engineering Fair.

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iStock // Ekaterina Minaeva
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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Why Your iPhone Doesn't Always Show You the 'Decline Call' Button
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When you get an incoming call to your iPhone, the options that light up your screen aren't always the same. Sometimes you have the option to decline a call, and sometimes you only see a slider that allows you to answer, without an option to send the caller straight to voicemail. Why the difference?

A while back, Business Insider tracked down the answer to this conundrum of modern communication, and the answer turns out to be fairly simple.

If you get a call while your phone is locked, you’ll see the "slide to answer" button. In order to decline the call, you have to double-tap the power button on the top of the phone.

If your phone is unlocked, however, the screen that appears during an incoming call is different. You’ll see the two buttons, "accept" or "decline."

Either way, you get the options to set a reminder to call that person back or to immediately send them a text message. ("Dad, stop calling me at work, it’s 9 a.m.!")

[h/t Business Insider]