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I know it's an old movie (and it was an even older book before that), but I want to look at the physics of the special submarine drive in The Hunt for Red October. In the story, the Russians build a so-called "caterpillar drive" using hydro-magneto power instead of the traditional propeller. This new drive is way quieter than the traditional type—so quiet that it could sneak up on the United States and blow it up. Spoiler alert: It doesn't.

Here is the cool part: This magnetohydrodynamic drive, which turns water into a sort of rotor, is a real thing. (Although technically in the book version this drive is something other than magnetohydrodynamic. Quibbles.) In fact, it's pretty simple to build. All you really need is a battery, a magnet, and some wires. Oh, also this will have to operate in salt water, so you might need some salt. Here is the basic setup.

How does this work? Well, when you put a positive and negative plate in salt water, it produces an electric field. With salt in water, you get both positive and negative ions—both of these are influenced by the electric field. In the setup shown above, the negative ions would move to the right and the positive ones move to the left. But the ion motion by itself does not produce any propulsion. For that, you also need a magnetic field.

In the diagram, I have a magnet with the north side pointing down. This produces a magnetic field that also mostly points down (as indicated by the red arrow). Now for the awesome physics part. If you have an electric charge moving in a magnetic field, there is a force on that charge—the magnitude of this force depends on the strength of the magnetic field, the value of the electric charge, and the velocity of the charge. This magnetic force can be expressed as the following equation:

If don't have a degree in physics, there are three things that are crazy about this equation. First, there is this weird arrow symbol over some of the variables. Nothing to be alarmed about—this just means these are vector quantities so that the direction also matters. Next there is this vector B. This represents the value of the magnetic field. Honestly, I'm not sure why we (physicists) always use B for the magnetic field—but we do. Lastly, there is that big "X". That is not the sign for multiplication, that is the sign for the cross product. I guess I should also point out that "q" is the symbol for the electric charge.

Multiplication is for scalar quantities—things that don't have direction. So if you want to operate two vector quantities (the velocity and the magnetic field) then you need a different operator (by operator, I mean actions like addition or square root or stuff like that). The cross product operator takes two vectors and produces another vector. The resultant vector depends on both the magnitude and direction of the starting vectors. But for this explanation, the important idea is that the result is a vector that is perpendicular to both of the initial vectors. This means that you have to see this thing in three dimensions in order to grok it.

Maybe this python script will help. Below are three arrows representing the three vectors dealing with the magnetic force. I have labeled the three vectors, so it should be clear which arrow represents which variable. But wait! There are two things you can do. First, you can rotate these three vectors around and view them from different angles—just click-drag with the right mouse button or use ctrl-click. Second, you can change the magnitude and direction of the qv vector by just normal click (or click drag). Go ahead and try it.

You should notice that no matter what you do, the vector F is always perpendicular to both qv and B. OK, that's not quite true. If you change qv such that it is parallel to B, the force would be zero—with no defined direction. If you want to determine the direction of the resultant from a cross product, you need to use the "right hand rule." Here is an older post that goes over the details—just in case you need that.

OK, going back to the hydro-magneto drive. You might notice one problem—some of the ions in the water are moving to the left (positive charges) and some are moving the right (negative charges). However, both the positive and negative ions will be pushed in the same direction (the direction out of the screen). The negative ions are moving in the positive x-direction, but they have a negative electrical charge. This means that they will still have a qv value in the same direction and the magnetic force on these two different ions are still in the same direction.

Now for an actual demonstration. I didn't build this from scratch, but found it as a kit. In this version, there is a circular track for the water so that you don't have to actually go anywhere. I put a drop of blue dye in the water so you can see when it moves. Here is the basic setup.

Once you connect the battery to the two plates—boom, the water starts to move.

I don't know about you, but I think this is pretty cool. Also, if you flip over the magnet the water changes directions. You could also change the water direction by reversing the electrical current. But if this is such a great physics demonstration, why don't they use this for propulsion systems? In short, it doesn't work very well. Sure, the water gets pushed—but you could do much better with just a propeller.

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San Francisco, land of unrestrained tech wealth and the attendant hoodies and $29 loaves of bread, just said whoa whoa whoa to delivery robots.

The SF Board of Supervisors voted on Tuesday, December 5 to severely restrict the machines, which roll on sidewalks and autonomously dodge obstacles like dogs and buskers. Now startups will have to get permits to run their robots under strict guidelines in particular zones, typically industrial areas with low foot traffic. And even then, they may only do so for research purposes, not making actual deliveries. It’s perhaps the harshest crackdown on delivery robots in the United States—again, this in the city that gave the world an app that sends someone to your car to park it for you.

Actually, delivery robots are a bit like that, though far more advanced and less insufferable. Like self-driving cars, they see their world with a range of sensors, including lasers. Order food from a participating restaurant and a worker will load up your order into the robot and send it on its way. At the moment, a human handler will follow with a joystick, should something go awry. But these machines are actually pretty good at finding their way around. Once one gets to your place, you unlock it with a PIN, grab your food, and send the robot on its way.

Because an operator is following the robot at all times, you might consider the robot to be a fancied-up, slightly more autonomous version of a person pushing a shopping cart. “But that's not the business model that they're going after,” says San Francisco Supervisor Norman Yee, who spearheaded the legislation. “The business model is basically get as many robots out there to do deliveries and somebody in some office will monitor all these robots. So at that point you're inviting potential collisions with people.”

Unlike self-driving cars, or at least self-driving cars working properly, these bots roll on sidewalks, not streets. That gives them the advantage of not dealing with the high-speed chaos of roads, other than crossing intersections, but also means they have to deal with the cluttered chaos of sidewalks. Just think about how difficult it can be for you as a human to walk the city. Now imagine a very early technology trying to do it. (Requests for comment sent to three delivery robot companies—Dispatch, Marble, and Starship—were not immediately returned.)

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What happened in that Board of Supervisors meeting was the manifestation of a new kind of anxiety toward the robots roaming among us. Just this last year has seen an explosion in robotics, as the machines escape the lab (thanks in part to cheaper, more powerful sensors) and begin rolling and walking in the real world. They've arrived quickly and with little warning.

And that’s made folks both curious and uneasy. Go to a mall and you may well find a security robot scooting around keeping an eye on things. Robot nurses roam the halls of hospitals. Autonomous drones fill the air. The question is: How are we supposed to interact with these machines? It’s a weird and fundamentally different kind of relationship than you’d form with a human, and not even experts in the field of human-robot interaction are sure how this is going to play out.

The big thing is safety. Machines are stronger than us and generally unfeeling (though that’s changing with robots that have a sense of touch), and can be very dangerous if not handled correctly. Which is what spooked Yee. San Francisco’s sidewalks are bustling with pedestrians and runners and homeless people and dogs and the occasional rat stacked on a cat stacked on a dog. How can the city make sure that roaming delivery robots and citizens get along?

For San Francisco, that means a crackdown. The legislation will require delivery robots to emit a warning noise for pedestrians and observe rights of way. They’ll also need headlights, and each permittee will need to furnish proof of insurance in the forms of general liability, automotive liability, and workers’ comp.

It’s sounds so very un-Silicon Valley. You know, move fast and break things, potentially literally in the case of the delivery robots. But states including Idaho and Virginia have actually welcomed delivery robots, working with one startup to legalize and regulate them early. Though really, San Francisco can better afford to put its foot down here—it’s not like it’s hurting for startups to come in and do business.

Might that seem like San Francisco isn’t as tech-friendly as it may seem? No, says Yee. “If you want to approach delivery, figure out how to do it and be as compatible with our values here,” he says. “Could robots do other things, for instance? Could it be that somebody's accompanying a robot that's picking up used needles in the street?”

If only Silicon Valley wasn't so busy developing parking apps.

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Driving in a busy city, you have to get good at scrutinizing the body language of pedestrians. Your foot hovers somewhere between the gas and the brake, waiting for your brain to triangulate their intent: Is that one trying to cross the street, or just waiting for the bus? Still, a whole lot of the time you hit the brakes for nothing, ending up in a kind of dance with the pedestrian (you go, no you go, no YOU go).

If you think that’s frustrating, then you’ve never been a self-driving car. As human drivers slowly go extinct (and human pedestrians don’t), autonomous vehicles will have to get better at decoding those unspoken intersection interactions. So a startup called Perceptive Automata is tackling that looming problem. The company says its computer vision system can scrutinize a pedestrian to determine not only their awareness of an oncoming car, but their intent—that is, using body language to predict behavior.

Typically if you want a machine to recognize something like trees, you first have humans label tens of thousands of pictures: trees or not trees. It’s a nice, neat binary. It gives the machine learning algorithms a base level of knowledge. But detecting human body language is more complex.

“In the case of a pedestrian, it's not, this person is crossing the road and this person isn't crossing the road. It's, this person isn't crossing the road but they clearly want to,” says Sam Anthony, co-founder of Perceptive Automata. Is the person looking down the road at oncoming traffic? If they’ve got grocery bags, have they set them down to wait, or are they mid-hoist, getting ready to cross?

Perceptive trains its models to look at those kinds of behaviors. They begin with human trainers, who watch and analyze videos of different pedestrians. Perceptive will take a clip of, say, a human looking down the street to cross the road, and manipulate it hundreds of ways—obscuring portions of it, for instance. Maybe sometimes the head is easier to see, maybe sometimes it’s harder. Then they depart from the tree-not-tree binary by asking the trainers a range of questions, such as, "Is that pedestrian hoping to eventually cross the street?" or “If you were that cyclist, would you be trying to stop the car from passing?”

When different parts of the image are harder to see, the human trainers have to think harder about their judgements of body language, which Perceptive can measure by tracking eye movement and hesitation. Maybe the head is harder to make out, for example, and the trainer has to put more thought into it. “This tells us that there's information about the appearance of the person's head in this particular slice that's an important part of how people judge whether that person in that training video is going to cross the street,” Anthony says.

The head is clearly an important clue for human observers, so it’s also an important clue for the machines. “So when the model saw a novel image where the head was important,” Anthony says, “it would be primed based on the training data to believe that people would likely really care about the pixels around the head area, and would produce an output that captured that human intuition.”

By considering cues like where the pedestrian is looking, Perceptive can quantify awareness and intent. A person walking down the sidewalk with their back to the car, for example, isn’t anything to worry about—both unaware and not intending to cross the street. But someone standing at a crosswalk peering down the street is another story. This insight would give a self-driving car extra time to slow down in case the pedestrian does decide to make a run for it.

Perceptive says it’s already working with automakers—it won’t reveal which—to deploy the system, and plans to license the technology to the makers of self-driving cars. (Daimler, for its part, has also studied tracking pedestrian head movements.) It’s also interested in other robotics companies producing machines that will need to interact closely with humans.

Because in this strange new world of complex interactions between people and robots, it’s as much about machines adapting to humans as it is humans adapting to machines. Determining the intent of pedestrians will help, but it won’t be easy. “Knowing the intent of pedestrians would certainly make [autonomous vehicle] deployment safer,” says Carnegie Mellon roboticist Raj Rajkumar, who works in self-driving cars. “It is, however, a very difficult problem to solve perfectly.”

“Consider Manhattan,” Rajkumar adds. And consider a big group of people crossing, specifically a person on the far side of a group from a robocar. “Among this group, one person is either short or starts running to cross quickly after the vehicle has decided to make a turn. Machine vision is not perfect.” And machine vision can get confused by optics, just like humans can. Reflections, the sun dropping low on the horizon, alternating light and dark patches on the road, not to mention heavy rain or snow, all can bamboozle the machines.

Then there’s the simple matter of people just acting weird. Perceptive’s system can pick up on tell-tale cues, but humans aren’t always so consistent. “There were about 7,000 pedestrian fatalities in the US in 2017 alone,” says Rajkumar. “The primary issue is the presence of significant uncertainty and sudden decisions that get made. Most pedestrians are very traffic-conscious most of the time. But, occasionally, a pedestrian is either in a hurry or changes their mind at the last moment and starts crossing the street, or even reverses direction.”

No one’s about to claim that self-driving cars will totally eliminate traffic deaths—not even machines are perfect, and there’s always going to be the unpredictable human pedestrian element. But bit by bit, robocars are getting better at navigating both our world and our vagaries.

Information from space has historically been the province of the rich and powerful. Big Earth-observing satellites can cost hundreds of millions of dollars to build and launch, and the price of their data scales accordingly. Scrappy scientific upstarts have, for a while, been building smallsats to get orbital data on the cheap. And while a single smallsat won't give a small company or nation-state all-seeing powers, if you put a bunch of them together to form a constellation, you can get rapidly refreshed information on the planet.

Now, those commercial constellations are powerful and numerous enough that the feds are taking an interest, with both NASA and NOAA currently navigating pilot data-purchase programs. Neither organization is looking to outsource all its observations: Both agencies fly their own substantial satellites, and NASA sometimes makes its own little ones. But since capable constellations of smallsats are beaming down data about the planet—all of it for sale—why wouldn't federal science agencies take advantage of the abundance?

The National Geospatial Intelligence Agency has already seen the value in that, and signed data-subscription contracts with Earth-imaging startup Planet. And it has long bought high-resolution data from giants like DigitalGlobe, as has NASA. There's a reason, though, that science agencies haven't fully bought into the hype yet: Commercial smallsat companies can be capricious. They may come and go, or their data may change in quality or format, or not be up to snuff.

NOAA—responsible for things like daily weather forecasts, storm warnings, and long-term climate monitoring—operates its own fleet of 17 larger satellites, with some in the flagship GOES series valued around $500 million each. The agency isn't interested in replacing all its innate assets, or their data, with commercial smallsat stuff. But it is interested in augmentation. And so, as part of its Commercial Weather Data Pilot Program, the agency issued two contracts to smallsat companies Spire and GeoOptics in 2016. In exchange for just over $1 million, they were to provide NOAA with atmospheric data—not necessarily so NOAA could learn about the atmosphere, but so it could learn about the data's "potential value to NOAA’s weather forecasts and warnings."

The program kind of halfway worked. By the time the performance period concluded, in April 2017, only Spire had anything to show for itself. Its small satellites had spied on GPS signals, using a method called radio occultation to detect slight changes as the signals streamed through the atmosphere—revealing information about temperature or moisture in the area.

GeoOptics didn’t actually launch any satellites until July 2017. Which is several months after the April deadline.

NOAA had been planning to announce round two of the pilot program in 2017, but in September, the agency determined that that was “not in the best interests” of the government, or the program, and anticipated delaying till later in 2018.

NOAA officials aren't unconcerned with the risks commercial smallsat data poses, a position they expressed, as reported by SpaceNews, at the American Meteorological Society Meeting in January. Officials don't know, for instance, whether a given smallsat constellation will remain afloat, and whether its weather data will stay a similar price.

It makes sense that NOAA in particular—keeper of the National Weather Service—would be cautious about launching into private smallsats. “For the longest time [weather] has been completely handled by the government side of things,” says Dallas Kasaboski, an analyst at consulting firm Northern Sky Research. Meteorology needs data solid enough to pin predictions to, and sometimes it feels the only way to get a job done right is to do it yourself.

And the reason government agencies are interested in smallsats is also their cause for concern. There's money and innovation, and tons of data to be digested. But it also means companies are still newish; they're switching up hard- and software and merging and buying and being bought. All of that shifting makes it harder for agencies like NOAA to quality-assure data. “The Earth observation space is very competitive,” says Kasaboski. “It’s changing. Companies are changing hands or consolidating. There is often that kind of a threat.”

For instance: Google acquired an Earth-observation company called Skybox, which then became Terra Bella, which was then bought by unicorn Planet, which sells data back to Google, which also buys data from DigitalGlobe, which is, as of recently, owned by the same company that also owns SSL, which has built satellites for Planet in the model of Terra Bella.

Despite the downsides, other agencies can throw themselves into commerciality with more abandon, because their responsibilities aren’t the same. Take that space agency, for example, whose mission is more simply scientific.

In December 2017, NASA asked Earth-observation companies that are already flying smallsat constellations for their deets: Instead of dictating exactly what it wanted, NASA also asked them what they could give. “We are letting them kind of drive that show,” says Sandra Cauffman, deputy director of NASA’s earth science division. Later that month, the agency had gotten 11 responses (just a year and a half ago, in a similar call, they got only five).

Although NASA can’t say which companies threw their sats into the ring, Cauffman says the agency hopes to have contracts in place with some of them in March, for a one-year pilot project.

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There’s mostly only upside here: If that data is good enough, NASA can augment its homebuilt capabilities without having to construct, launch, and maintain its own constellations. There is a catch, though. “NASA has a free and open data policy,” says Cauffman. NOAA does too, which is why you can get any GOES images you want, any time you want (except when the government is shut down).

Companies, of course, may not be so happy about free access. After all, if NASA buys their proprietary data and then gives it away, no one else really needs to press purchase. “How much is it going to cost if we would like to distribute the data more broadly?” says Cauffman.

The other questions, of course, are about how good the data is, and how reliably it’s delivered—same as NOAA would like to know.

Both agencies are approaching the smallsat industry with varying degrees of question and caution. But this business direction—away from providing everything for themselves and toward paying for someone to provide for them—is the natural order of space things. The Obama administration made big strides toward outsourcing things like space launches, with the Trump administration following in step. And while the smallsat industry is less developed than the rocket industry, a little push, courtesy of Big Brother, could help the industry mature faster. Because the government is a big customer, but a tough one.

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The tiny tadpole embryo looked like a bean. One day old, it didn’t even have a heart yet. The researcher in a white coat and gloves who hovered over it made a precise surgical incision where its head would form. Moments later, the brain was gone, but the embryo was still alive.

The brief procedure took Celia Herrera-Rincon, a neuroscience postdoc at the Allen Discovery Center at Tufts University, back to the country house in Spain where she had grown up, in the mountains near Madrid. When she was 11 years old, while walking her dogs in the woods, she found a snake, Vipera latastei. It was beautiful but dead. “I realized I wanted to see what was inside the head,” she recalled. She performed her first “lab test” using kitchen knives and tweezers, and she has been fascinated by the many shapes and evolutionary morphologies of the brain ever since. Her collection now holds about 1,000 brains from all kinds of creatures.

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Original story reprinted with permission from Quanta Magazine, an editorially independent publication of the Simons Foundation whose mission is to enhance public understanding of science by covering research developments and trends in mathematics and the physical and life sciences.

This time, however, she was not interested in the brain itself, but in how an African clawed frog would develop without one. She and her supervisor, Michael Levin, a software engineer turned developmental biologist, are investigating whether the brain and nervous system play a crucial role in laying out the patterns that dictate the shapes and identities of emerging organs, limbs and other structures.

For the past 65 years, the focus of developmental biology has been on DNA as the carrier of biological information. Researchers have typically assumed that genetic expression patterns alone are enough to determine embryonic development.

To Levin, however, that explanation is unsatisfying. “Where does shape come from? What makes an elephant different from a snake?” he asked. DNA can make proteins inside cells, he said, but “there is nothing in the genome that directly specifies anatomy.” To develop properly, he maintains, tissues need spatial cues that must come from other sources in the embryo. At least some of that guidance, he and his team believe, is electrical.

In recent years, by working on tadpoles and other simple creatures, Levin’s laboratory has amassed evidence that the embryo is molded by bioelectrical signals, particularly ones that emanate from the young brain long before it is even a functional organ. Those results, if replicated in other organisms, may change our understanding of the roles of electrical phenomena and the nervous system in development, and perhaps more widely in biology.

“Levin’s findings will shake some rigid orthodoxy in the field,” said Sui Huang, a molecular biologist at the Institute for Systems Biology. If Levin’s work holds up, Huang continued, “I think many developmental biologists will be stunned to see that the construction of the body plan is not due to local regulation of cells … but is centrally orchestrated by the brain.”

Bioelectrical Influences in Development

The Spanish neuroscientist and Nobel laureate Santiago Ramón y Cajal once called the brain and neurons, the electrically active cells that process and transmit nerve signals, the “butterflies of the soul.” The brain is a center for information processing, memory, decision making and behavior, and electricity figures into its performance of all of those activities.

But it’s not just the brain that uses bioelectric signaling—the whole body does. All cell membranes have embedded ion channels, protein pores that act as pathways for charged molecules, or ions. Differences between the number of ions inside and outside a cell result in an electric gradient—the cell’s resting potential. Vary this potential by opening or blocking the ion channels, and you change the signals transmitted to, from and among the cells all around. Neurons do this as well, but even faster: To communicate among themselves, they use molecules called neurotransmitters that are released at synapses in response to voltage spikes, and they send ultra-rapid electrical pulses over long distances along their axons, encoding information in the pulses’ pattern, to control muscle activity.

Levin has thought about hacking networks of neurons since the mid-1980s, when he was a high school student in the suburbs near Boston, writing software for pocket money. One day, while browsing a small bookstore in Vancouver at Expo 86 with his father, he spotted a volume called The Body Electric, by Robert O. Becker and Gary Selden. He learned that scientists had been investigating bioelectricity for centuries, ever since Luigi Galvani discovered in the 1780s that nerves are animated by what he called “animal electricity.”

However, as Levin continued to read up on the subject, he realized that, even though the brain uses electricity for information processing, no one seemed to be seriously investigating the role of bioelectricity in carrying information about a body’s development. Wouldn’t it be cool, he thought, if we could comprehend “how the tissues process information and what tissues were ‘thinking about’ before they evolved nervous systems and brains?”

He started digging deeper and ended up getting a biology doctorate at Harvard University in morphogenesis—the study of the development of shapes in living things. He worked in the tradition of scientists like Emil du Bois-Reymond, a 19th-century German physician who discovered the action potential of nerves. In the 1930s and ’40s, the American biologists Harold Burr and Elmer Lund measured electric properties of various organisms during their embryonic development and studied connections between bioelectricity and the shapes animals take. They were not able to prove a link, but they were moving in the right direction, Levin said.

Before Genes Reigned Supreme

The work of Burr and Lund occurred during a time of widespread interest in embryology. Even the English mathematician Alan Turing, famed for cracking the Enigma code, was fascinated by embryology. In 1952 he published a paper suggesting that body patterns like pigmented spots and zebra stripes arise from the chemical reactions of diffusing substances, which he called morphogens.

Masayuki Yamashita

But organic explanations like morphogens and bioelectricity didn’t stay in the limelight for long. In 1953, James Watson and Francis Crick published the double helical structure of DNA, and in the decades since “the focus of developmental biology has been on DNA as the carrier of biological information, with cells thought to follow their own internal genetic programs, prompted by cues from their local environment and neighboring cells,” Huang said.

The rationale, according to Richard Nuccitelli, chief science officer at Pulse Biosciences and a former professor of molecular biology at the University of California, Davis, was that “since DNA is what is inherited, information stored in the genes must specify all that is needed to develop.” Tissues are told how to develop at the local level by neighboring tissues, it was thought, and each region patterns itself from information in the genomes of its cells.

The extreme form of this view is “to explain everything by saying ‘it is in the genes,’ or DNA, and this trend has been reinforced by the increasingly powerful and affordable DNA sequencing technologies,” Huang said. “But we need to zoom out: Before molecular biology imposed our myopic tunnel vision, biologists were much more open to organism-level principles.”

The tide now seems to be turning, according to Herrera-Rincon and others. “It’s too simplistic to consider the genome as the only source of biological information,” she said. Researchers continue to study morphogens as a source of developmental information in the nervous system, for example. Last November, Levin and Chris Fields, an independent scientist who works in the area where biology, physics and computing overlap, published a paper arguing that cells’ cytoplasm, cytoskeleton and both internal and external membranes also encode important patterning data—and serve as systems of inheritance alongside DNA.

And, crucially, bioelectricity has made a comeback as well. In the 1980s and ’90s, Nuccitelli, along with the late Lionel Jaffe at the Marine Biological Laboratory, Colin McCaig at the University of Aberdeen, and others, used applied electric fields to show that many cells are sensitive to bioelectric signals and that electricity can induce limb regeneration in nonregenerative species.

According to Masayuki Yamashita of the International University of Health and Welfare in Japan, many researchers forget that every living cell, not just neurons, generates electric potentials across the cell membrane. “This electrical signal works as an environmental cue for intercellular communication, orchestrating cell behaviors during morphogenesis and regeneration,” he said.

However, no one was really sure why or how this bioelectric signaling worked, said Levin, and most still believe that the flow of information is very local. “Applied electricity in earlier experiments directly interacts with something in cells, triggering their responses,” he said. But what it was interacting with and how the responses were triggered were mysteries.

That’s what led Levin and his colleagues to start tinkering with the resting potential of cells. By changing the voltage of cells in flatworms, over the last few years they produced worms with two heads, or with tails in unexpected places. In tadpoles, they reprogrammed the identity of large groups of cells at the level of entire organs, making frogs with extra legs and changing gut tissue into eyes—simply by hacking the local bioelectric activity that provides patterning information.

And because the brain and nervous system are so conspicuously active electrically, the researchers also began to probe their involvement in long-distance patterns of bioelectric information affecting development. In 2015, Levin, his postdoc Vaibhav Pai, and other collaborators showed experimentally that bioelectric signals from the body shape the development and patterning of the brain in its earliest stages. By changing the resting potential in the cells of tadpoles as far from the head as the gut, they appeared to disrupt the body’s “blueprint” for brain development. The resulting tadpoles’ brains were smaller or even nonexistent, and brain tissue grew where it shouldn’t.

Unlike previous experiments with applied electricity that simply provided directional cues to cells, “in our work, we know what we have modified—resting potential—and we know how it triggers responses: by changing how small signaling molecules enter and leave cells,” Levin said. The right electrical potential lets neurotransmitters go in and out of voltage-powered gates (transporters) in the membrane. Once in, they can trigger specific receptors and initiate further cellular activity, allowing researchers to reprogram identity at the level of entire organs.

This work also showed that bioelectricity works over long distances, mediated by the neurotransmitter serotonin, Levin said. (Later experiments implicated the neurotransmitter butyrate as well.) The researchers started by altering the voltage of cells near the brain, but then they went farther and farther out, “because our data from the prior papers showed that tumors could be controlled by electric properties of cells very far away,” he said. “We showed that cells at a distance mattered for brain development too.”

Then Levin and his colleagues decided to flip the experiment. Might the brain hold, if not an entire blueprint, then at least some patterning information for the rest of the body, Levin asked—and if so, might the nervous system disseminate this information bioelectrically during the earliest stages of a body’s development? He invited Herrera-Rincon to get her scalpel ready.

Making Up for a Missing Brain

Herrera-Rincon’s brainless Xenopus laevis tadpoles grew, but within just a few days they all developed highly characteristic defects—and not just near the brain, but as far away as the very end of their tails. Their muscle fibers were also shorter and their nervous systems, especially the peripheral nerves, were growing chaotically. It’s not surprising that nervous system abnormalities that impair movement can affect a developing body. But according to Levin, the changes seen in their experiment showed that the brain helps to shape the body’s development well before the nervous system is even fully developed, and long before any movement starts.

That such defects could be seen so early in the development of the tadpoles was intriguing, said Gil Carvalho, a neuroscientist at the University of Southern California. “An intense dialogue between the nervous system and the body is something we see very prominently post-development, of course,” he said. Yet the new data “show that this cross-talk starts from the very beginning. It’s a window into the inception of the brain-body dialogue, which is so central to most vertebrate life as we know it, and it’s quite beautiful.” The results also raise the possibility that these neurotransmitters may be acting at a distance, he added—by diffusing through the extracellular space, or going from cell to cell in relay fashion, after they have been triggered by a cell’s voltage changes.

Herrera-Rincon and the rest of the team didn’t stop there. They wanted to see whether they could “rescue” the developing body from these defects by using bioelectricity to mimic the effect of a brain. They decided to express a specific ion channel called HCN2, which acts differently in various cells but is sensitive to their resting potential. Levin likens the ion channel’s effect to a sharpening filter in photo-editing software, in that “it can strengthen voltage differences between adjacent tissues that help you maintain correct boundaries. It really strengthens the abilities of the embryos to set up the correct boundaries for where tissues are supposed to go.”

To make embryos express it, the researchers injected messenger RNA for HCN2 into some frog egg cells just a couple of hours after they were fertilized. A day later they removed the embryos’ brains, and over the next few days, the cells of the embryo acquired novel electrical activity from the HCN2 in their membranes.

The scientists found that this procedure rescued the brainless tadpoles from most of the usual defects. Because of the HCN2 it was as if the brain was still present, telling the body how to develop normally. It was amazing, Levin said, “to see how much rescue you can get just from very simple expression of this channel.” It was also, he added, the first clear evidence that the brain controls the development of the embryo via bioelectric cues.

As with Levin’s previous experiments with bioelectricity and regeneration, many biologists and neuroscientists hailed the findings, calling them “refreshing” and “novel.” “One cannot say that this is really a step forward because this work veers off the common path,” Huang said. But a single experiment with tadpoles’ brains is not enough, he added — it’s crucial to repeat the experiment in other organisms, including mammals, for the findings “to be considered an advance in a field and establish generality.” Still, the results open “an entire new domain of investigation and new of way of thinking,” he said.

Levin’s research demonstrates that the nervous system plays a much more important role in how organisms build themselves than previously thought, said Min Zhao, a biologist at the University of California, Davis, and an expert on the biomedical application and molecular biophysics of electric-field effects in living tissues. Despite earlier experimental and clinical evidence, “this paper is the first one to demonstrate convincingly that this also happens in [the] developing embryo.”

“The results of Mike’s lab abolish the frontier, by demonstrating that electrical signaling from the central nervous system shapes early development,” said Olivier Soriani of the Institut de Biologie de Valrose CNRS. “The bioelectrical activity can now be considered as a new type of input encoding organ patterning, allowing large range control from the central nervous system.”

Carvalho observed that the work has obvious implications for the treatment and prevention of developmental malformations and birth defects—especially since the findings suggest that interfering with the function of a single neurotransmitter may sometimes be enough to prevent developmental issues. “This indicates that a therapeutic approach to these defects may be, at least in some cases, simpler than anticipated,” he said.

Levin speculates that in the future, we may not need to micromanage multitudes of cell-signaling events; instead, we may be able to manipulate how cells communicate with each other electrically and let them fix various problems.

Another recent experiment hinted at just how significant the developing brain’s bioelectric signal might be. Herrera-Rincon soaked frog embryos in common drugs that are normally harmless and then removed their brains. The drugged, brainless embryos developed severe birth defects, such as crooked tails and spinal cords. According to Levin, these results show that the brain protects the developing body against drugs that otherwise might be dangerous teratogens (compounds that cause birth defects). “The paradigm of thinking about teratogens was that each chemical is either a teratogen or is not,” Levin said. “Now we know that this depends on how the brain is working.”

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These findings are impressive, but many questions remain, said Adam Cohen, a biophysicist at Harvard who studies bioelectrical signaling in bacteria. “It is still unclear precisely how the brain is affecting developmental patterning under normal conditions, meaning when the brain is intact.” To get those answers, researchers need to design more targeted experiments; for instance, they could silence specific neurons in the brain or block the release of specific neurotransmitters during development.

Although Levin’s work is gaining recognition, the emphasis he puts on electricity in development is far from universally accepted. Epigenetics and bioelectricity are important, but so are other layers of biology, Zhao said. “They work together to produce the biology we see.” More evidence is needed to shift the paradigm, he added. “We saw some amazing and mind-blowing results in this bioelectricity field, but the fundamental mechanisms are yet to be fully understood. I do not think we are there yet.”

But Nuccitelli says that for many biologists, Levin is on to something. For example, he said, Levin’s success in inducing the growth of misplaced eyes in tadpoles simply by altering the ion flux through the local tissues “is an amazing demonstration of the power of biophysics to control pattern formation.” The abundant citations of Levin’s more than 300 papers in the scientific literature—more than 10,000 times in almost 8,000 articles—is also “a great indicator that his work is making a difference.”

The passage of time and the efforts of others carrying on Levin’s work will help his cause, suggested David Stocum, a developmental biologist and dean emeritus at Indiana University-Purdue University Indianapolis. “In my view, his ideas will eventually be shown to be correct and generally accepted as an important part of the framework of developmental biology.”

“We have demonstrated a proof of principle,” Herrera-Rincon said as she finished preparing another petri dish full of beanlike embryos. “Now we are working on understanding the underlying mechanisms, especially the meaning: What is the information content of the brain-specific information, and how much morphogenetic guidance does it provide?” She washed off the scalpel and took off her gloves and lab coat. “I have a million experiments in my mind.”

Original story reprinted with permission from Quanta Magazine, an editorially independent publication of the Simons Foundation whose mission is to enhance public understanding of science by covering research developments and trends in mathematics and the physical and life sciences.

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Neuroscientist Explains One Concept in 5 Levels of Difficulty

The Connectome is a comprehensive diagram of all the neural connections existing in the brain. WIRED has challenged neuroscientist Bobby Kasthuri to explain this scientific concept to 5 different people; a 5 year-old, a 13 year-old, a college student, a neuroscience grad student and a connectome entrepreneur.

For one dizzying, schmooze and booze-filled week every January, thousands of tech execs, VCs, and investment bankers grind their way through a four-day slog of panel sessions, poster presentations, networking meetings, and cocktail-drenched after-hours parties in their industry’s premier orgiastic dealmaking event. And no, we’re not talking about CES.

On Monday, the Westin St. Francis hotel in downtown San Francisco opened its doors to the 36th annual J.P. Morgan Healthcare Conference, the country’s largest biotech convention. Everyone is there either to disrupt or to be disrupted. And while some companies were there to hawk the buzziest in far-future thinking—blockchain-based everything! fully robotic operating rooms!—others came to celebrate the very real, very current progress of a field 30 years in the making: gene therapy. And the promise of a much newer technology, Crispr, to propel the long-standing field forward with even greater momentum.

After decades of setbacks, gene therapy—a loosely defined umbrella term for any technique that uses genes to treat or prevent disease—is finally here. In December, the field got its very first FDA approval with Luxturna, which corrects a defective gene in a rare, inherited retinal disease. With a half dozen more treatments in late-stage trials and an unusually open-minded FDA commissioner in Washington, the industry is expecting a flurry of new approvals this year.

Which is going to throw a wrench in the health insurance industry. Because gene therapies are one-time, curative treatments, they break the traditional insurance model, which is designed to make multiple small payments over time. “We recognize that the products in this space create reimbursement challenges to the normal way of doing business,” said Janet Lambert, CEO of the Alliance for Regenerative Medicine, during her presentation Monday on the state of of the cell and gene therapy industry.

Lambert’s lobbying roadmap for 2018 includes helping insurance companies understand what to do with a new gene therapy like Luxturna, which cures blindness with a single, $850,000 injection into the eye. Ranked by sticker price, it’s the most expensive medicine in America. Spark Therapeutics, the company that makes Luxturna, argues that the six-figure price tag isn’t actually that unreasonable, if you factor in all the costs that patients with the inherited retinal disease would have racked up in a lifetime of seeking better care.

But because their clinical trial patients haven’t been followed long enough to determine if the treatment benefits are actually durable for a whole lifetime, Spark has received significant pushback from insurers. As a result, the company is already exploring a some creative new pricing models. It announced last week that it’s offering a rebate program based on the treatment’s effectiveness at 30 to 90 days and again at 30 months with one East Coast provider, and is in talks about expanding it to other insurers, Spark CEO Jeffrey Marrazzo said at JPM. He said Spark is also in discussions with the Centers for Medicare and Medicaid Services on a multi-year installment plan option. Either of these could soon serve as a model for how gene therapies might be made available to patients without cutting the legs out from under the healthcare system.

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That's a problem the Crispr companies in attendance at JPM don’t have to worry about yet. But they’re hoping gene therapy will have figured it out by the time Crispr-based medicines are patient-ready and FDA-approved. The first trial in humans isn’t expected to launch until later this year. But the Big Three—Editas Medicine, Intellia Therapeutics, and Crispr Therapeutics—had other hurdles to contend with.

Over the weekend, headlines metastasized across the internet about a new study suggesting Crispr might not work in humans at all. Published on pre-print server bioRxiv by a Stanford scientist who is also a scientific founder of Crispr Therapeutics, the non peer-reviewed study found that up to 79 percent of humans could already be immune to the most common forms of Crispr, called Crispr-Cas9, which come from two strains of Staphylococcus.

The timing was pretty terrible, and all three companies’ stocks took serious hits Monday morning, even as investors crowded into ballrooms to hear Crispr execs speak. The controversy made for one of the more tense moments of a gene therapy panel, when Sandy Macrae, CEO of rival gene editing tech company Sangamo, which uses zinc-finger nucleases, poked at Crispr Therapeutics chief scientific officer, Bill Lundberg. “That’s why we use human tools to edit humans,” he said.

The crowd of about a thousand swiftly inhaled. (This is what counts as maximum drama at JPM.) But the Crispr folks swiftly pushed back on the claims that immunity will present a barrier to their pipelines, since none of them use just plain old Cas9 like it’s found in nature. They’re all making proprietary tweaks to the enzyme system that they think will make the immunity issue, well, not an issue at all.

“We’ve actually done a lot of work ourselves on this specific topic and we don’t see this as a major issue to advancing Crispr-based medicines,” said Editas president and CEO Katrine Bosley. In a presentation to investors on Wednesday, the company revealed their plans to have five medicines in human testing within the next five years. The first diseases Editas is going after include a number of inherited eye disorders. The company is also pursuing a partnership with Juno Therapeutics to use Crispr to engineer T-cells to fight off incurable cancers.

Immunity to bacterial-based gene editors won’t be an issue for the current crop of gene therapies expected to get approvals in 2018. They represent the tail ends of a long and arduous development pipeline—one that Crispr is only just beginning to enter. It might be another 30 years before anyone is arguing about the insurance implications of one-time, cure-all Crispr meds. But at least by then, there should be some good options.

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A wickedly fast fastball isn’t the anomaly it once was. A decade ago, Major League pitchers threw a grand total of just 196 triple-digit fastballs in a single season. Last year, 40 pitchers collectively threw 1,017.

But while baseball’s hallmark pitch has increased in popularity, it hasn’t increased in velocity.

Consider the confusion over the game’s fastest fastball ever. On paper, the honor goes to Yankees relief pitcher Aroldis Chapman, who clocked 105.1 miles per hour in 2010. But the record could have been set all the way back in 1974. Back then, Nolan Ryan was the first MLB pitcher to be tracked by radar during a game—and while his heater topped out at 100.8 miles per hour, the radar measured Ryan’s ball just before it crossed the plate. Had it eyed the pitch as it was leaving Ryan’s hand (as Chapman’s was), experts believe it might have registered at upwards of 108 miles per hour.

Similar retroactive estimates have put Cleveland Indians pitcher Bob Feller’s fastest fastball at 107.6 miles per hour—and that was all the way back in 1946. Walter Johnson, who played from 1907 to 1927, is also thought to have thrown pitches at 100 mph or more. All of which is to say: Pitchers have been throwing north of 100-mph for the past 100 years. Over the same time period, advances in training, technology, nutrition, and, yes, drugs, have fueled a dramatic upward trend in world-record athletic performances, from the marathon to the long jump to the 50 meter freestyle. But when it comes to hurling a five-ounce, leather-wrapped sphere as fast as possible, humans appear to have plateaued.

“I don’t see it going much higher,” says biomedical engineer Glenn Fleisig, research director of the American Sports Medicine Institute and an expert in the biomechanics of pitching. “I'm sorry to say that, but I don’t see it happening. Baseball isn’t like other sports, where we see people running faster or swimming harder or whatever, where today’s records are smashing the records from 10 years ago.”

That hasn’t prevented pitchers from pursuing the triple-digit barrier at the expense of their arms. A significant number of them undergo major medical procedures to correct injuries from competition. Like the “Tommy John” surgery: When the tendon in a pitcher’s elbow tears, surgeons can replace it with a fresh one from the player’s wrist, forearm, hamstring, or even their toe. Swapping in the relief tendon involves the surgeon drilling holes in the ulna and humerus bones and threading them in a figure-8 pattern with the healthy tissue.

A 2012 survey found that a quarter of Major League pitchers had undergone the Tommy John surgery at some point in their careers. And as the popularity of the fastball has increased, so has the surgery.

Fleisig thinks the rise in Tommy John surgeries has to do with the immense strain that hurling baseballs puts on a pitcher’s arm. By studying cadavers, he and his colleagues found that the force required to tear elbow ligaments is roughly the same as what a pitcher asks of his arm throwing at top speed. When the arm flings back, the shoulder ligaments experience about 100 Newton meters of torque. When it flings forward, the elbow ligaments suffer the same. “It’s the equivalent, at each point, of holding five 12-pound bowling balls,” Fleisig says. “So imagine I hang 60 pounds from your hand. That’s what it would feel like on your elbow or shoulder.” At those forces, he says, pitchers are effectively throwing their arms off. The odds of them throwing much faster seem pretty slim.

Which may actually be a good thing, as fastballs are already right at the limit of what batters can reliably hit.

A 100-mph fastball reaches home plate in under 400 milliseconds. The swing itself takes about 150 milliseconds. That leaves less than a quarter of a second for a batter to spot the pitch and decide whether and where to swing. That’s absurdly fast, which may explain why the swinging strike rate for triple-digit heaters is almost three times higher than it is for lesser fastballs.

But the tiny reaction window is only part of why batters struggle to connect. The other culprit: lack of practice. As popular as they’ve become, 100-mph fastballs are still pretty rare—rare enough that you’re not going to face off against them regularly at batting practice. Unless you’ve got a workaround.

The baseball team at Villanova University recently got access to a tireless pitcher who can throw fastballs all day long—even impossibly fast ones. Engineer Mark Jupina designed a virtual hitting simulator that allows batters to practice identifying and even hitting against any pitch in the MLB’s PITCHf/x database. (PITCHf/x is a tracking system installed in every MLB stadium that records the velocity, trajectory, release point, and spin of every pitch.) Players can either face off against the virtual pitcher in the university’s CAVE (an immersive, four-walled virtual reality environment equipped with infrared cameras), or by donning an Oculus Rift headset. “We have data sets that are appropriate for a high school level, all the way up beyond the pro level,” Jupina says. “We can even show you what, realistically, 120 mile an hour fastball would look like.”

I stood in the simulator and stared down a 120-mph pitch. It was ludicrous. The trip from the mound to the plate took just three tenths of a second; I felt like I needed to start my swing before the ball even left the pitcher’s hand.

Then a few members of Villanova’s baseball team took a crack at the simulator, and Jupina showed me how they planned to use it in training. Fastball practice was only part of the exercise. In one activity, he’d freeze the ball 150 milliseconds after leaving the pitcher’s hand, and ask the batter to ID the pitch. Was it coming in fast and straight, or was it a slow breaking ball? Would it cross the plate high and inside, or right down the middle?

Me, I couldn’t tell a fastball from a slider, but Villanova’s players took to it quickly, using things like the position of the pitcher’s arm and the spin of the ball to identify the pitch. It was impressive to watch, in part because it’s always impressive to witness someone exercise a sense you do not possess yourself. But also because the latency, the resolution, the sense of depth—they were all good enough to make reading an incoming pitch possible. All of which could make this a tremendous training tool.

“In the future, I could see every Major League baseball organization having this available to their hitters,” says Villanova’s head baseball coach Kevin Mulvey, a former pro pitcher himself. “If you could upload the pitcher that you're going to be facing to this virtual interface, in the stadium that you'll playing, at the time you'll be playing, and you can get in there and re-live an at-bat that you had against him, you're going to be better prepared to face this guy than if you were just taking batting practice off a generic lefty or generic righty."

After all, not many people can throw a triple digit pitch. But with a tool like Jupina's, a whole lot more could train to hit one.

On the first Saturday of March, Kristin Comella put on a white doctor’s coat and took the stage at the fourth annual conference for the Academy of Regenerative Practices. The founder and president of the academy, Comella also oversees an expanding empire of stem cell clinics that promise patients cures for most anything that ails them. None of those treatments—for everything from diabetes and asthma to multiple sclerosis and arthritis—have been approved by the US Food and Drug Administration.

The procedure—which costs a few thousand dollars—is always pretty much the same, regardless of its purported target. It involves sucking out some of a patient’s fat tissue with a liposuction needle, isolating the stem cells within, and reinjecting them into the patient’s body. The simplicity of the procedure is why people like Comella say it’s “insane” for the FDA to try to regulate stem cells.

So it was surprising when she announced onstage that her firm, US Stem Cell, had recently begun developing a radically new kind of treatment—this time, for cancer.

“Your stem cells are antigen-presenting cells,” Cormella told the audience, in a Facebook live video the company posted of the event. “We can make them express a protein from your specific cancer. So, it’s an individualized cancer vaccine, if you will.” US Stem Cell, a publicly traded firm that sells stem cell separation kits and operates one of the largest networks of clinics in the country, achieved this with something called an “electroporation protocol,” she said.

Electroporation is essentially zapping cells with electricity—a microbiology technique used to get drugs, proteins, or, most commonly, DNA into cells. “When I hear electroporation, that’s equal to genetic modification,” says Paul Knoepfler, a stem cell researcher at UC Davis. “That’s what we do when we want cells to permanently express a protein.”

Knoepfler writes a blog about stem cells, and that’s where he surfaced the video on May 9, after an acquaintance tipped him off. He’s sort of a watchdog for the industry. Since 2011, he’s tracked the proliferation of unregulated stem cell clinics and followed US Stem Cell’s cavalier approach to experimenting on its patients, sometimes to disastrous effect. In 2015, one of its clinics injected liposuction-derived stem cells directly into the eyeballs of three elderly women suffering from age-related macular degeneration. All three went blind, two sued, and US Stem Cell settled out of court.

But this, he says, might be the most dangerous thing he’s seen yet. “If my assumption is correct that they’re introducing DNA, this is up near the top of the riskiest things I’ve ever heard a stem cell clinic doing,” he says. “The big worry here is giving cancer patients another cancer, or a dangerous immune response."

US Stem Cell did not respond to WIRED’s questions about the procedure, so it’s still unclear if it does indeed involve genetic modification and whether any patients have actually been treated with it. In the video Comella only described it as one of the company’s “current protocols.”

What we do know is that the approach sounds similar to a powerful new class of anti-cancer medicines known as CAR-T therapies. They involve extracting a patient’s immune cells and genetically rewiring them to more effectively recognize and attack cancerous cells in the body. The FDA approved the first CAR-T, Kymriah, in late 2017 after scrutinizing years of data from animal studies and human clinical trials. Novartis claims it spent $1 billion to get the treatment to market.

Compare that with the $6,664 US Stem Cell reported having spent last year on research and development. The company—formerly named Bioheart—has nine clinical trials listed on the national registry ClinicalTrials.gov, none of which are actively recruiting and none of which are for cancer treatments. Though listed as the lead investigator on some of the trials, Comella isn’t a medical doctor. She received a three-year online PhD in stem cell biology from the Panama College of Cell Science—a non-accredited virtual university founded by stem cell evangelist Walter Drake, according to reporting by the LA Times. And she’s not afraid to spar with the federal government.

Last August the FDA sent a warning letter to US Stem Cell and to Comella, specifically, for “significant deviations” from good practices. And after Comella responded with a letter of her own, denying FDA has any jurisdiction to regulate her company’s activities, the agency followed up with a lawsuit.

On May 9, the FDA along with the Department of Justice filed a complaint seeking a permanent injunction against US Stem Cell and Comella, accusing them of endangering patient safety and failing to meet manufacturing standards for cell therapies. The federal officials also filed a similar lawsuit against another clinic—California Stem Cell Treatment Center—which was involved in giving patients an experimental cancer treatment made from a mix of stem cells and a smallpox vaccine inappropriately acquired from a Centers for Disease Control and Prevention stockpile under the auspices of research. When officials found out they were being administered to patients, US marshals raided the clinic and seized the remaining vials.

Both California Stem Cell Treatment Center and US Stem Cell said in public statements they plan to fight the injunctions, the most aggressive volley yet in the conflict surrounding direct-to-consumer stem cell treatments. At the heart of the clash is the phrase “minimally manipulated,” which the FDA uses to exempt therapies like bone marrow transplants. Both clinics will likely argue in court that their cell-based treatments fit that description. But Comella’s recent statements at the conference could undermine this claim. Electroporation is a tool designed explicitly for cellular manipulation, and there’s nothing minimal about it.

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Many people don't know too much about angular momentum—and that's fine. But what about figure skaters? Whether they understand the concept of angular momentum doesn't matter but they use it in one of the all time classic skating moves. You've seen it before. The skater starts off in a standing position and spins about the vertical axis. After a few rotations, the skater pulls both arm in closer to the body and spins faster. In physics, we call this conservation of angular momentum.

Just as an example, here is this same maneuver performed on a rotating platform instead of on ice.

Really, you can try something like this on your own. Sit on a nice spinning chair or stool. Start with your arms stretched out as you spin and then bring your arms in. Don't barf.

But what exactly is angular momentum? In short, it is something that we can calculate that can be conserved. That's a tough definition, so let me give an example of a conserved quantity—like mass (which only mostly conserved). Suppose you take add some baking soda to vinegar. If you've ever done this, you will see that the resulting mixture foams and produces some gas. But here's the cool part. If you measure the mass of the stuff you start with (vinegar and baking soda) it's the same as the mass of the stuff you end up with (carbon dioxide and water and sodium acetate). Boom, mass is conserved. It's the same before and after.

OK, I have to point out that mass isn't always conserved. n a nuclear reaction, the mass of the stuff before doesn't have to be equal to the mass of the stuff after. But if you look at energy (and include mass in the energy), then energy is conserved.

Now for angular momentum. The angular momentum is a quantity that we can calculate for rotating object. It's the product of the angular velocity (how fast it spins—represented with the symbol ω) and the moment of inertia (using the symbol I). I think most people are OK with the idea of the angular velocity—but the moment of inertia thing is a bit more complicated. Basically, the moment of inertia is a property of an object that depends on the distribution of the mass about the rotation axis. If you have more mass further away from the axis of rotation, the moment of inertia is larger than if that was was close to the axis.

Here is a super quick demo—and you can try this at home. I have two sticks with juice boxes taped to them such that both sticks (plus juice) have the same mass. However, there is a difference. One stick has the juice boxes at the ends of the stick (high moment of inertia) and one stick has them taped to the middle of the stick (low moment of inertia). Now look at what happens when you try to rotate these sticks back and forth (remember—they are the same mass). Oh, to make things more fun I gave the higher moment of inertia stick to the stronger girl. Also, here is a longer video version of this demo.

So let's review. The angular momentum depends on both the angular velocity and the mass distribution of the object. You can change this angular momentum by exerting a torque (a twisting force)—but with no external torque, the angular momentum is conserved.

Now getting back to the ice skater. In the vertical spinning position, there is very little torque exerted on the system (since ice is slippery and the skates are close to the axis of rotation). This means that the angular momentum should stay at a constant value. But what happens if you change something—like bringing your arms closer to your body? This would decrease the moment of inertia. Since the angular momentum has to stay constant, the angular velocity must increase. It's the only way to conserve angular momentum.

Here is another view (from the top) of this same move—just for fun.

Really, you could easily take some measurements from this. It wouldn't be too difficult to measure the angular velocity both before and after the arms being pulled in. From that, you could calculate the change in the moment of inertia. But still, I think this move is best left to professionals—the spinning would make me sick.

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You could be excused, when you first hear Dane Rudy describe his company, for thinking that he wants to use raccoons to send satellites into space. Trash pandas, though, are not the future that Rudy is talking about.

He's talking about rockoons—rockets launched from high-altitude balloons. Rockoons trace their trajectory back to the military, like the 1950s Air Force program called Farside. (Check out the news anchor's vintage intonations in this archival video about the program's fifth—and first successful—launch attempt.)

Rockoons, Rudy believes, deserve a reboot. Through his company, Leo Aerospace, he wants to balloon small satellites into the stratosphere, then shoot them to orbit with rockets. When launched from the ground, rockets require lots of fuel to push through the dense air of those first miles. If another vehicle floats them way up before they have to fire, they can use their fuel for what really matters—getting to space—rather than wasting it on leaving the ground. Right now, small satellites usually have to carpool on serious rockets, with names like Falcon, which is inconvenient, inefficient, expensive, slow—all the things small satellites are supposed to not be.

Last Wednesday, Rudy was in the LA Grand Hotel, surrounded by soft-jazz piano and spiral-arm chandeliers, to try to figure out what rockoons could maybe do for the military. Back in April, the Defense Advanced Research Projects Agency—Darpa—announced that it would hold a "Launch Challenge": To win, competitors have to launch something small into space two times in a span of weeks.

It's going to be a bit of a fire drill: Less than a month before the first launch, sometime in the last quarter of 2019, Darpa will tell competitors where it will take place. Then, less than two weeks before go-time, the agency will give them details about orbit, payload, and pad. And then they must rinse-repeat within weeks, with new requirements that they'll only receive after the first launch. The agency will give $10 million to the first-place winner, plus $400,000 to all who qualify to enter at all, and $2 million to everyone who nails the first launch.

At the Grand Hotel, Rudy was attending Darpa's "Competitors’ Day," an opportunity for would-be launchers to come together and get a read on the situation. It's kind of a PowerPoint-heavy Opening Ceremonies, minus musical numbers, and the ballroom is full of launch vehicle makers, propulsion companies, component constructors, New Space upstarts, Old Space stalwarts, spaceport representatives, and also the guy who sent the first hot dog toward space.

Everyone's name badge has the same graphic, which looks like a flat plain, edged by mountains. Four rockets launch at once from the landscape, which resembles classic aerospace-innovation geography. It's Edwards Air Force Base, or White Sands Missile Range. It's Area 51, or the Academy in Colorado Springs. And toward the end of 2019, Darpa may ask these competitors to launch from federal places like these, or from the commercial spaceports popping up around the country.

At the beginning of the meeting, Todd Master, the Launch Challenge program manager, steps up to a podium. "For a really long time, we’ve enjoyed and benefited from space being a sanctuary," he says. The guy next to me, who has a Sputnik tattoo on one forearm and an infinity symbol inked on the other, writes something in his notebook.

"That environment has been changing," he continues. "We’re in an environment now where we view ourselves as threatened in space."

Here’s part of what this means: More entities than ever can get to orbit. If you can get to orbit, it's no huge technological leap to trespass onto someone else’s space—by, say, slamming into their satellite. This problem has been part of the space race from the beginning. After all, the reason we invented rockets was to shoot each other with missiles, not because of the romantic human urge to explore the cosmos. And hackers could even target the software and signals satellites send, without shooting anything physical into space in the first place.

One ultra-satellite is vulnerable to take-down, physically or cyber-ly. But if you take that satellite's skills and disperse them across a network of hundreds or thousands of small, replaceable sats? The flock functions fine even if a few get destroyed or corrupted. And if a big one becomes compromised, you can quickly reestablish its capabilities in miniature. So Darpa hopes the DoD will pivot to constellations of small space objects, sent up so often that the citizenry simply shrugs its collective shoulders at every successful rocket launch. It doesn't even have to be a rocket. “I don’t care if FedEx is three trucks and two boats and an airplane,” says Master. "Get it there and I’ll pay you.”

The hosts set the crowd loose with an explicit mandate to network. Some attendees have vehicles in the works, while some make only vehicle parts. Some are the taker-carers of logistics. Some are from the spaceports. Few attendees, in other words, have the standalone resources to complete the Launch Challenge. I end up in a gaggle with Rudy. Nearby, someone from Northrop Grumman talks to the founder of Ruckus Composites, a company that mostly does carbon fiber work for the bike industry. But the founder, Shawn Small, is a space geek—he’s the one with the Sputnik tattoo.

Small also makes rockets sometimes, telescopes other times. He sent that first hot dog 22 miles up. Also chicken, on a mission called “A Pollo 13.” He wonders to me, at the end of the day, exactly why Darpa wants this responsive technology. “What do they know?” he asks. As in, what do they know that we don't.

A lot, probably, about all the things that could realistically go wrong in space. The military mindset is a strange thing, tasking itself with thinking constantly about how we are threatened, or could be. And for Darpa, right now, the way to shrink risk is to shrink satellites.

As I get ready to leave, I ask Rudy if it’s strange, for him, to be thinking about doing defense work (Rudy says he isn't sure whether Leo will enter the challenge). On Leo's website, the company describes using little satellites to track crop health, illegal fishing, port traffic. But like all launch technology, rockoons are dual-use. Most space companies—from the big SpaceXs and Boeings to the smaller Planets and Rocket Labs—do defense or intelligence work.

Partly for that reason, Leo Aerospace just went through a national-security-focused accelerator, MD5, to gain experience in navigating the byzantine bureaucratic processes involved in defense contracting. "You learn a lot of things you wouldn't expect," Rudy says, when you get into the defense world, but what he has learned has convinced him the sector is "trying to make the world a better, safer place."

And a more watched one, in which the US doesn't lose whatever shadow space race is going on. Darpa, in fact, was founded partly because of the surprise Soviet launch of Sputnik—the world's first (small) satellite. The US, henceforth, would be the surpris-er. So no matter what the agency publicly says about quick-launch and smallsat infrastructure, it surely is anticipating some surprises to come, and planning a few of its own.


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