Finding a Lost Tooth With Science!

Sometimes the hack is a masterwork of circuit design, crafting, 3D printing and programming. Other times, the hack is knowing which tool is right for the job, even when the job isn’t your regular, run-of-the-mill, job. [John]’s son lost his tooth on their gravel driveway, so [John] set out to find it.

White socks fluoresce under UV

When [John] set out to help his son and find the tooth, he needed a plan of attack – there was a large area to cover and, when [John] looked over the expanse of gravel the terms “needle” and “haystack” came to mind. Just scanning the ground wasn’t going to work, he needed a way to differentiate the tooth from the background. Luckily, he had a UV flashlight handy and, after testing it on his own teeth, realized that his son’s tooth would fluoresce under UV light and the gravel wouldn’t.

Off [John] went at night to find the tooth with his flashlight. He soon realized that many things fluoresce under UV light – bits of plastic, quartz crystal in the rocks, his socks. [John] eventually found the tooth, and his son is happier now. No soldering was involved, no development on breadboards, no high-voltage, but this is one of those hacks that is more about problem solving than throwing microcontrollers at a situation. In the end, though, everyone’s happy, and that’s what counts.

Program Your Brain, Hack Your Way to Productivity

Most people wish they were more productive. Some buckle down and leverage some rare facet of their personality to force the work out. Some of them talk with friends. Some go on vision quests. There are lots of methods for lots of types of people. Most hackers, I’ve noticed, look for a datasheet. An engineer’s reference. We want to solve the problem like we solve technical problems.

It's got the cover equivalent of click-bait, but the centimeter thick bibliography listing research sources at the back won me over.
It’s got the cover equivalent of click-bait, but the centimeter thick bibliography listing research sources at the back won me over.

There were three books that gave me the first hints at how to look objectively at my brain and start to hack on it a little. These were The Power of Habit by Charles Duhigg, Flow By Mihaly Csikszentmihalyi, and Getting Things Done By David Allen.

I sort of wandered into these books in a haphazard path. The first I encountered was The Power of Habit which I found to be a bit of a revelation. It presented the idea of habits as functions in the great computer program that makes up a person. The brain sees that you’re doing a task over and over again and just learns to do it. It keeps optimizing and optimizing this program over time. All a person needs to do is trigger the habit loop and then it will run.

For example: Typing. At first you either take a course or, if your parents left you alone with a computer for hours on end, hunt-and-peck your way to a decent typing speed. It involves a lot of looking down at the keyboard. Eventually you notice that you don’t actually need to look at the keyboard at all. Depending on your stage you may still be “t-h-i-n-k-i-n-g”, mentally placing each letter as you type. However, eventually your brain begins to abstract this away until it has stored, somewhere, a combination of hand movements for every single word or key combination you typically use. It’s only when you have to spell a new word that you fall back on older programs.

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Too Good To Throw Away: Dealing with an Out-Of-Control Junk Hoard

There it was, after twenty minutes of turning the place over, looking through assorted storage boxes. A Thinwire Ethernet network. About the smallest possible Thinwire Ethernet network as it happens, a crimped BNC lead about 100mm long and capped at each end by a T-piece and a 50 ohm terminator. I’d been looking for a BNC T-piece on which to hook up another terminator to a piece of test equipment, and I’d found two of them.

As I hooked up the test I wanted to run I found myself considering the absurdity of the situation. I last worked somewhere with a Thinwire network in the mid 1990s, and fortunately I am likely to never see another one in my life. If you’ve never encountered Thinwire, be thankful. A single piece of co-ax connecting all computers on the network, on which the tiniest fault causes all to fail.

So why had I held on to all the parts to make one, albeit the smallest possible variant? Some kind of memento, to remind me of the Good Old Days of running round an office with a cable tester perhaps? Or was I just returning to my past as a hoarder, like a Tolkienic dragon perched atop a mountain of electronic junk, and not the good kind of junk?

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Custom Keyboard Makes the Case for Concrete

One of the worst things about your average modern keyboards is that they have a tendency to slide around on the desk. And why wouldn’t they? They’re just membrane keyboards encased in cheap, thin plastic. Good for portability, bad for actually typing once you get wherever you’re going.

When [ipee9932cd] last built a keyboard, finding the right case was crucial. And it never happened. [ipee9932cd] did what any of us would do and made a custom case out of the heaviest, most widely available casting material: concrete.

To start, [ipee9932cd] made a form out of melamine and poured 12 pounds of concrete over a foam rectangle that represents the keyboard. The edges of the form were caulked so that the case edges would come out round. Here’s the super clever part: adding a couple of LEGO blocks to make space for the USB cable and reset switch. After the concrete cured, it was sanded up to 20,000 grit and sealed to keep out sweat and Mountain Dew Code Red. We can’t imagine that it’s very comfortable to use, but it does look to be cool on the wrists. Check out the gallery after the break.

Concrete is quite the versatile building material. We’ve seen many applications for it from the turntable to the coffee table to the lathe.

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Hackaday Prize Entry: A One Hand Bottle Opener

For the next month, the Hackaday Prize is all about Assistive Technologies. You would think this means exoskeletons, 3D printed prosthetics, and better wheelchairs, and you’d be right. This project in the running for the Assistive Technologies portion of the prize isn’t what you would expect. It’s a brilliantly simple way to open a water bottle with one hand. Think of it as the minimum viable project for assistive technologies, and a brilliant use of a few 3D printed parts and some metric bolts.

The OHBO – the One Hand Bottle Opener – is just a simple 3D printed ring that fits over a water bottle. There’s a small arm attached with a few bolts that lock this ring onto the bottle. With this bottle opener attached, it only requires a simple twist of the wrist to open a screw-top bottle.

As you can see in the video below, this would be a fantastic device for anyone with one hand to keep around the fridge. Of course, like all good Hackaday Prize entries, all the files to recreate this build are available, with just a few bits of hardware required to complete the build.

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How the Human Brain Stores Data

Evolution is one clever fellow. Next time you’re strolling about outdoors, pick up a pine cone and take a look at the layout of the bract scales. You’ll find an unmistakable geometric structure. In fact, this same structure can be seen in the petals of a rose, the seeds of a sunflower and even the cochlea bone in your inner ear. Look closely enough, and you’ll find this spiraling structure everywhere. It’s based on a series of integers called the Fibonacci sequence. Leonardo Bonacci discovered the sequence while trying to figure out how many rabbits he could make starting with just two. It’s quite simple — add the right most integer to the previous one to get the next one in the sequence. Starting from zero, this would give you 0-1-1-2-3-5-8-13-21 and so on. If one was to look at this sequence in the form of geometric shapes, they can create square tiles whose sides are the length of the value in the sequence. If you connect the diagonal corners of these tiles with an infinite curve, you end up with the spiral that you saw in the pine cone and other natural objects.

Source via Geocaching

So how did mother nature discover this geometric structure? Surely it does not know math. How then can it come up with intricate and sophisticated structures? It turns out that this Fibonacci spiral is the most efficient way of squeezing the most amount of stuff in the least amount of space. And if one takes natural selection seriously, this makes perfect sense. Eons of trial and error to make the most copies of itself has stumbled upon a mathematical principle that permeates life on earth.

Source via John Simmons

The homo sapiens brain is the product of this same evolutionary process, and has been evolving for an estimated 7 million years. It would be foolish to think that this same type of efficiency natural selection has stumbled across would not be present in the current homo sapiens brain. I want to impress upon you this idea of efficiency. Natural selection discovered the Fibonacci sequence solely because it is the most efficient way to do a particular task. If the brain has a task of storing information, it is perfectly reasonable that millions of years of evolution has honed it so that it does this in the most efficient way possible as well. In this article, we shall explore this idea of efficiency in data storage, and leave you to ponder its applications in the computer sciences.

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Exoskeleton Designed for Children

Exoskeletons are demonstrably awesome, allowing humans to accomplish feats of strength beyond their normal capacity. The future is bright for the technology — not just for industrial and military applications, but especially in therapy and rehabilitation. Normally, one thinks of adults who have lost function in their limbs, but in the case of this exoskeleton, developed by The Spanish National Research Council (CSIC), children with spinal muscular atrophy are given a chance to lead an active life.

Designing prosthetics for children can be difficult since they are constantly growing, and CSIC’s is designed to be telescopic to accommodate patients between the ages 3-14. Five motors in each leg adapt to the individual symptoms of the patient through sensors which detect the child’s intent to move and simulates what would be their natural walking gait.

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