This morning I overheard a few people fuming about the price of gasoline. I wonder if they have considered how inefficient their cars really are?
The chemical bonds in hydrocarbons are a great way to store energy. Millions of years ago green plants used the energy in sunlight to split water into hydrogen and oxygen. The hydrogen was then combined with carbon dioxide from the air forming glucose molecules and giving off a byproduct called oxygen that we've managed to use in other ways.1 The neat thing is when you burn the glucose, energy stored in its chemical bonds is released along with water and carbon dioxide. Glucose is essentially a energy storage battery. Plants turn it into other hydrocarbon-based substances largely leaving intact the chemical bonds that contain the stored solar energy. They tap some of the energy for their own purposes and animals eat the plants harvesting the stored solar energy through metabolism - another form of oxidation - releasing the same energy and byproducts as burning.
It is wonderful to realize you are really solar powered.
Most of the solar energy that powers our bodies fell on the Earth recently - usually within the past year. It turns out plants aren't terribly efficient - usually less than one percent for those directly in our food chain - but a lot of land is devoted to the cultivation of suitable plants.2
We can have some fun with some numbers. An average person requires about 2,000 Calories a day. Calories are a unit of energy so you can divide by time to find the average power requirement. Doing this and converting to watts, it turns out we need about 100 watts on average. Lower at night when we're sleeping and much higher when we're doing something athletic, but 100 watts a person is a nice number to remember for quick mental calculations.
The sun delivers an average of a bit more than 1,360 watts per meter2 to the Earth.3 Absorption in the atmosphere, the Earth's roughy spherical shape, inclination, day and night and cloud cover reduces this to something usually between 50 and 200 watts/m2 - let's pick 100 for a quick back of the envelope. Average food crops stores solar energy into those chemical bonds with at about a half percent efficiency so their power rating is about 0.5 watts/m2. If we could harvest and process these crops with perfect efficiency it would take about 200 square meters of land to supply one of us with food. Given seasonal growing issues and various inefficiencies in the chain, a more reasonable number is closer to 1,000 square meters of farmland under cultuivation for every person on the planet.4
So what does this have to do with the beauty of triangles?
Hang on - we're getting there. This is taking a bit more time to flesh out than I thought so I'm breaking my one hour rule.
The Industrial Revolution came in several phases, but at its core it allowed us to effectivvely tap the relatively vast amounts of energy stored in hydrocarbons like coal, petroleum and natural gas. Up until that time most of what we could do was limited to muscle power - from us or domestic animals. A good rule of thumb is an adult male in good physical shape can produce about a kilowatt-hour of mechanical work a day .. 100 watts of additional power in a ten hour shift.5 A horse may provide about four or five times as much. This proved to be a very low and limiting barrier to growing the civilizations - many people spend all of their time dealing only with food production and available energy for other activities was very limited.
Coal, petroleum, and natural gas formed over many tens of thousands of years millions of years ago. The efficiency of their formation was not great and local geologic conditions dictated where they are and how much exists. But many tens of thousands of years often dominates the low efficiencies and large amounts of energy were stored. We are mining sunlight from our distant past.
Most of the gasoline in our cars comes from petroleum which, in turn comes from dead algae and zooplankton that became trapped under sedimentary rock and "cooked" under great pressure and heat for ages. At about 36 kilowatt-hours per gallon it is almost an ideal fuel for transportation, it can be stored at room temperature, is relatively safe and easy to handle and transport, and we have had engines that burn it directly since the late 19th century.6
The ease and low cost of mining, transporting, processing and using this very old reservoir of stored solar energy has produced an extremely inefficient transportation infrastructure - the automobile. But early on there was so much oil that inefficiency didn't matter very much.
Cars are great for moving us long distances at speeds that give us practical commuting ranges on the order of fifty miles or thereabouts and one day trips ten times that distance. But internal combustion engines are heat engines and, despite more than one and a half centuries of refinement, only about a quarter of the gasoline you buy is used to turn the wheels of your car. The majority of it escapes out the tail pipe or heats the engine block. Improvements have been made and will continue, but they are increasingly expensive and we aren't that far from the limits for a flexible use vehicle.
There are other issues like cost and pollution, but let's focus on efficiency and ask a fundamental question.
What are we really moving?
Usually just a person or two and perhaps a few bags of groceries - a few hundred pounds at most. The average car weighs nearly 4,000 pounds. It takes a lot of energy to accelerate its mass to speed, so a good metric to consider is payload divided by vehicle weight plus payload. Let's say you and your groceries weigh 200 pounds and your car weighs 3,800 pounds. Only five percent of what is moving around really needs to be moved around.
For short trips bicycles make sense. I've done some calculations based on Colleen and her bike. She weighs about 170 pounds and her bike weighs 30 pounds. Fully 85% of what is moving around is useful payload and that number can increase a bit as she carries groceries on the bike. She gets the equivalent of 1,000 miles per gallon of gasoline. Her bike is great for speeds up to about 15 mph and trips generally under a five or six miles each way - basically almost any commute in a town or city. Much longer trips and/or higher speeds or heavy payloads require something like a car - but for short and slow trips Colleen "wins" using a bike largely by not having to carry around all of that extra weight. We can and should reduce the weight of cars as it is the next area for large (factor of two) improvements in fuel use efficiency, but bicycles are extremely low hanging fruit where practical.
In the late eighteen hundreds the biycle, like the automobile, was undergoing change. The safety bike was developed revolutionizing bike design and safety and giving us a very simple and extremely strong lightweight structure. It roughly onsists of two triangles fused together. Bicycle design has progressed, but this basic geometry hasn't changed very much since then.
A person on a bike is very efficient - about three or four times as efficient as a walker and more efficient than mamalian locomotion. Bikes are optimized for urban scale trips and payloads associated with perhaps 80%+ of human trips less than five miles.
I sometimes characterize a bicycle as "a human sweat amplifier fashioned of a diamond shaped geometry fashioned from a pair of fused triangles"... But there is something deeper to it.
Building one can be straightforward - if you like you can even make one using bamboo as a primary frame material.7
Refinements, on the other hand, can be technically demanding and leading edge bike design is a convenient laboratory to material development and fabrication research and development. The aerospace industryhas been an early driver of carbon fiber use, but bicycle frames have been proven an important vehicle for perfecting less expensive fabrication technologies that are now being applied in a variety of industries.
China has used bicycle manufacture as a mechanism for learning and scaling manufacturing technologies. Beginning with aluminum bike frames in the late 1980sthey have managed to drop the price of an aluminum bike frame by nearly a factor of fifteen. For about a decade they have been working with carbon filber nad mahve made prie reductions on the order of five with eight or ten looking likely soon. The resulting techniques have driven wind turbine carbon fiber fabrication along with parts of their aerospace industry. If they can achieve success in automotive carbon fiber on the order of what they've done with bicycles, the carbon fiber automobile becomes practical and we have a fundamental revolution in the industry. It would be possible to make a 2,000 pound safe four passenger car and that would translate into much greater fuel efficiency.
But bikes may be another subtle, but potentially powerful driver of change.
It turns out there are a lot of electric bikes in China - currently 150 million with an annual production that should reach about 70 million around 2015. Most of these are very unsophisticated - a heavy bike with a small fairly inefficient electric motor and heavy lead acid battery.
Bike batteries don't have to be large and expensive. We found that Colleen required about 31 Calories to travel a mile making her about 34 times as energy efficient as a 30 mpg car. 31 nutritional Calories is about 36 watt-hours, so a 10 mile roundtrip commute requires about 360 watt-hours. But Colleen happens to be human and her efficiency at turning food energy into mechanical work at the pedal is about 20% while the battery, controller and motor in state of the art ebike exceeds 80%. So she could get a comfortable 40 mile range with a 500 watt-hour battery and pedal along a bit to increase the range even more as well as getting some exercise while she's at it.
A 500 watt-hour battery pack is about ten times the capacity of the average laptop computer battery. Currently most lithum-ion ebikes use several laptop batteries, but newer designs use repurposed automotive batteries. China appears to be encouraging ebike makers to move to lithium-ion designs. Seventy million lithium-ion ebikes would require 35 million kilowatt-hours worth of batteries. Smaller electric vehicles use batteries in the 25 to 35 kilowatt-hour range. eBike production would be equivalent to about a million new electric cars a year and may be an important bridge towards the massive production scales required.
There is also an indication that city planners are beginning to rethink the design of new megacities moving more towards a mixture of small cars (mostly electric), ebikes, bicycles, pedestrian traffic and mass transit - much like parts of Northern Europe. This type of design is much more efficient in energy use and may be less expensive in the long run.
Just two triangles joined into a diamond, but they may be giving us a hint of a possible future.
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1 Atmospheric oxygen tends to react with a lot of things and doesn't stay around very long on its own - a few thousand years at most. Its presence indicates something has produced it recently and, at least on Earth, it is an indicator that photosynthesis is working away.
2 Sadly there is starvation, but this is a distribution problem. Green plants provide enough energy for the world's population - but we appear to be within about a factor of two of a fairly harsh limit.
3 1,366 watts/m2 is an accepted number that averages over our orbit and solar cycles, but the last cycle has been very quiet and the recent number is somewhat lower - perhaps about 1,361.
4 This is for diets where we consume plants. It turns out we eat meat too and making meat is inefficient. Usually under ten percent, although some meats like industrial poultry can be as high as twenty percent.
5 I use a rowing machine to exercise and measure my output directly. My normal sessions are at an average power level of 150 watts and run 60 to 80 minutes. A one hour session would represent 150 watt-hours of work. Since I'm about 20% efficient, that means I need about 600 watt-hours of food above and beyond my normal metabolic needs to support the exercise. That's about 516 Calories (nutritional - there are several types of calories). People can work at much more intense levels for short periods and expert athletes can work at about three times my level for similar periods. I note some of that in another post.
6 Unfortunately there are some nasty byproducts and side effects. Incomplete combustion produces numerous toxic chemicals and an enormous amount of carbon dioxide is released as a direct combustion byproduct even if we had complete combustion - approximately 20 pounds of carbon dioxide for every gallon of gasoline burned. This is from carbon that had been captured for thousands of years and sequestered for millions of years. This rapid desequestration is a root cause of the human caused global warming.
7 Bicycle frames are usually fabricated from aluminum, but steel is also frequently used along with the emergence of carbon fiber and, more rarely, titanium. I'm a big fan of steel as newer alloys are fairly lightweight while offering an outstanding "road feel" Steel can also be easily adapted to bespoke designs where a frame is custom tailored to the rider. My old Raleigh Pro was built in the mid 1970s using Reynolds 531 - a then exotic alloy that only one company in the world could make. One of the most exotic steels is a maraging stainless steel called Reynolds 953. The tube wall thicknesses are so thin - down to about 0.3 mm - that frames approach the weight of carbon fiber bikes. Colleen is over 6'6" tall and that dictated an unusal frame geometry that required Reynolds 953 and some careful selection of tube diameters, wall thicknesses and buttings to get it "right" ... a fair amount of numerical simulation.
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Recipe Not re-frieds
I tend to approach cooking on hunches and have my share of failures. This is a nice success. I like re-fries, but rather than sautèing the aromatics with the cooked beans I wanted to sautè them first and then cook them with the beans in a pressure cooker to infuse the flavor. I used a mixture of pinto and cranberry beans because that's all I had at the time. I assume you could use any similar bean and get great results. A huge key to success with dried beans is to never use anything more than about six months old.
The quantities are approximate as I didn't carefully measure. I'll use mostly volume measurements even though that is bad form.
Ingredients
° 1 tbl vegetable oil
° 1 medium onion chopped
° 1 bunch cilantro stems and leaves separated and chopped
° 1/2 tsp chipotle powder - use more or less for to vary the flavor
° 1/2 tsp cumin
° 2 cups dried beans. I used a mixture of pinto and cranberry beans soaked overnight in water - borlotti would be great too
° 2 cups water
° 1 tsp kosher salt
Technique
° Heat your pressure cooker with the top off over medium heat and add the oil. Sautè the onion, cilantro stems and spices (not the salt yet) until the onion starts to soften. Don't let it brown. Add the beans and water.
° Close the lid, crank heat to high and lower heat once you reach full pressure (15 psi setting). Cook about 10 minutes and move to a cold burner allowing the pressure to drop on its own before opening.
° Reserve a few of the beans for a garnish, add salt to the rest and mash.
° Serve garnished with the whole beans, sour cream and the cilantro leaves.
I prefer whole milk greek yogurt (Fage Total) to sour cream, but your mileage may vary. Sour cream is the classic. Also I imagine parsley would be a great substitute for cilantro, but I really like cilantro.
leading horses as well as choosing them
So three cheers for Jheri! I am toasting her with some proper homemade ice cream tonight.
Jheri is now in her mid 20s and was a poor student in high school. There were some reasons for this, but the bottom line is that she wasn't ready to learn. We have an education system that assumes a readiness on the part of the student across many subjects that is probably optimal for a small minority. But now she wants it and is focused on learning biology and has been finding math and science come easil to her. I'm not surprised - she has a sparkling curious mind and has discovered the wonderful ignorance that science provides.. She has a career, but is getting a bit of schooling in her spare time and will soon quit and go full time. I wouldn't be surprised to see her go on for an advanced degree.
I'm finding something similar about myself. I was extremely interested in math and science as a kid and far to focused. (another Jeri knew me a bit then and will probably vouch for that) Then I found myself as an undergrad in a school that was really a glorified trade school. I tested out of many of the "non important" subjects and continued my singular focus. Grad school was a mentor relation that focused almost entirely on physics. As a result I'm extremely narrow - something that has been bothering me a lot. I have been developing interests in history, art and music playing with these a bit as a curious amateur. Perhaps one day I'll go to a real university and learn how to ask a few questions in these areas in much greater detail. At least I am identifying my ignorance and am curious enough to learn. It doesn't matter that I don't know much - at least not to me.
Being ready to learn happens in areas you may not immediately suspect. The men's volleyball team at UC Irvine took the NCAA Division 1 championship this past weekend. Except for volleyball they have an unremarkable athletic department, but head coach John Speraw is one of those remarkable characters who is both cerebral and humble. He knows that he doesn't know and seems to delight in learning.
Speraw hasn't been with Irvine that long, but has managed to put together three national championships. During the last season he raised eyebrows when he hired a female psychologist with no volleyball experience as one of his assistant coaches - even though the program is too small to support full time assistant coaches. This weekend he praised her noting she gave him and the team the right tools to do the remarkable. Of course they, as an organization, had to be radically different from the standard men's volleyball team in order to understand, modify and implement what she was telling them. Speraw observes, experiments and learns from his successes and failures. He has turned his staff onto his techniques and the players are doing the same. UC Irvine now has a learning organization that is crushing organizations with rich histories and much larger financial resources. My guess is more than a few men's programs will hire psychologists and most (all?) of them will be too inflexible to learn and adapt. In the meantime John will find other tools.
One wonders about the parallels with other organizations - corporations for example.
When are companies ready to learn and can you identify them by the questions they are asking? Does their thinking become calcified over time and do they see a need to learn and adapt? Where do they find the questions to learn from and what are their mechanisms for dealing with the questions? Do they have an institutional learning process and an institutional memory to take advantage of their learnings? Do they recognize the value of failure? Do they recognize the value of play? Are those charged with running the company curious enough to ask questions or have they followed a path that has given them success to date giving them an artificial sense of confidence? How do they select and promote employees at all levels and is the ability and readiness to learn part of the process?
My guess is learning organizations are probably rare. I'm reasonably familiar with Apple and Pixar and both are great examples where learning is central. I'm also familiar with many others that are mostly unable - or at least unready - to learn.
Is your organization curious enough? Does it actively identify, cultivate and celebrate its ignorance? Is it diverse enough to connect dots and identify potentially new areas of ignorance - areas that, when explored by the right people will illuminate opportunity that others hadn't considered.
Think about the last paragraph and imagine Apple and Pixar. Try it again with average organizations you know.
It makes me think of how new ideas and techniques are identified and, if useful, implemented. Many companies follow bandwagons - some companies sort out the world by asking the right questions and blaze their own paths, but many become little more than buzzword compliant with a considerable amount of time, talent and money in the process.
I think data mining and "big data" (I dislike both terms for a variety of reasons - sit me down with some cold milk and fresh cookies and I'll go into detail) are a great example of the potential success and failure of institutional learning. A few organizations will understand what they are doing deeply enough to be able to play in this area effectively, but many are probably going to fail as has been true with many "next big things" over time.
You really need to understand something deeply enough to know if there is a there there. I was drawn to physics as, in principal, it is so simple. Simple enough that you have some hope of asking fundamental questions in a productive fashion. But add a bit of complexity and the world rapidly becomes far too complex to understand at a fundamental level. There may be levels of possible understanding that describe it that, if you are sufficiently clever, allow you identify those techniques that will work for your organization.
The term "data" is highly contextual - so much that I try not to use it. It isn't a fundamental piece of information, but rather is a cloud of information surrounding the core of what you think it is. Some of this cloud may be obvious and some may be hidden. As an example consider this well-known description of an email problem. The system is relatively simple (I've written successful email gateways so they must be simple), but the description assumes you have a bit of familiarity with the subject. Feel free to skip over it if your eyes glaze over - the point is there was an obscure condition that eluded detection resulting in some puzzling behavior.
The following is the 500-mile email story in the form it originally appeared, in a post to sage-members on Sun, 24 Nov 2002.:
From trey@sage.org Fri Nov 29 18:00:49 2002 Date: Sun, 24 Nov 2002 21:03:02 -0500 (EST) From: Trey Harris <trey@sage.org> To: sage-members@sage.org Subject: The case of the 500-mile email (was RE: [SAGE] Favorite impossible task?) Here's a problem that *sounded* impossible... I almost regret posting the story to a wide audience, because it makes a great tale over drinks at a conference. :-) The story is slightly altered in order to protect the guilty, elide over irrelevant and boring details, and generally make the whole thing more entertaining. I was working in a job running the campus email system some years ago when I got a call from the chairman of the statistics department. "We're having a problem sending email out of the department." "What's the problem?" I asked. "We can't send mail more than 500 miles," the chairman explained. I choked on my latte. "Come again?" "We can't send mail farther than 500 miles from here," he repeated. "A little bit more, actually. Call it 520 miles. But no farther." "Um... Email really doesn't work that way, generally," I said, trying to keep panic out of my voice. One doesn't display panic when speaking to a department chairman, even of a relatively impoverished department like statistics. "What makes you think you can't send mail more than 500 miles?" "It's not what I *think*," the chairman replied testily. "You see, when we first noticed this happening, a few days ago--" "You waited a few DAYS?" I interrupted, a tremor tinging my voice. "And you couldn't send email this whole time?" "We could send email. Just not more than--" "--500 miles, yes," I finished for him, "I got that. But why didn't you call earlier?" "Well, we hadn't collected enough data to be sure of what was going on until just now." Right. This is the chairman of *statistics*. "Anyway, I asked one of the geostatisticians to look into it--" "Geostatisticians..." "--yes, and she's produced a map showing the radius within which we can send email to be slightly more than 500 miles. There are a number of destinations within that radius that we can't reach, either, or reach sporadically, but we can never email farther than this radius." "I see," I said, and put my head in my hands. "When did this start? A few days ago, you said, but did anything change in your systems at that time?" "Well, the consultant came in and patched our server and rebooted it. But I called him, and he said he didn't touch the mail system." "Okay, let me take a look, and I'll call you back," I said, scarcely believing that I was playing along. It wasn't April Fool's Day. I tried to remember if someone owed me a practical joke. I logged into their department's server, and sent a few test mails. This was in the Research Triangle of North Carolina, and a test mail to my own account was delivered without a hitch. Ditto for one sent to Richmond, and Atlanta, and Washington. Another to Princeton (400 miles) worked. But then I tried to send an email to Memphis (600 miles). It failed. Boston, failed. Detroit, failed. I got out my address book and started trying to narrow this down. New York (420 miles) worked, but Providence (580 miles) failed. I was beginning to wonder if I had lost my sanity. I tried emailing a friend who lived in North Carolina, but whose ISP was in Seattle. Thankfully, it failed. If the problem had had to do with the geography of the human recipient and not his mail server, I think I would have broken down in tears. Having established that--unbelievably--the problem as reported was true, and repeatable, I took a look at the sendmail.cf file. It looked fairly normal. In fact, it looked familiar. I diffed it against the sendmail.cf in my home directory. It hadn't been altered--it was a sendmail.cf I had written. And I was fairly certain I hadn't enabled the "FAIL_MAIL_OVER_500_MILES" option. At a loss, I telnetted into the SMTP port. The server happily responded with a SunOS sendmail banner. Wait a minute... a SunOS sendmail banner? At the time, Sun was still shipping Sendmail 5 with its operating system, even though Sendmail 8 was fairly mature. Being a good system administrator, I had standardized on Sendmail 8. And also being a good system administrator, I had written a sendmail.cf that used the nice long self-documenting option and variable names available in Sendmail 8 rather than the cryptic punctuation-mark codes that had been used in Sendmail 5. The pieces fell into place, all at once, and I again choked on the dregs of my now-cold latte. When the consultant had "patched the server," he had apparently upgraded the version of SunOS, and in so doing *downgraded* Sendmail. The upgrade helpfully left the sendmail.cf alone, even though it was now the wrong version. It so happens that Sendmail 5--at least, the version that Sun shipped, which had some tweaks--could deal with the Sendmail 8 sendmail.cf, as most of the rules had at that point remained unaltered. But the new long configuration options--those it saw as junk, and skipped. And the sendmail binary had no defaults compiled in for most of these, so, finding no suitable settings in the sendmail.cf file, they were set to zero. One of the settings that was set to zero was the timeout to connect to the remote SMTP server. Some experimentation established that on this particular machine with its typical load, a zero timeout would abort a connect call in slightly over three milliseconds. An odd feature of our campus network at the time was that it was 100% switched. An outgoing packet wouldn't incur a router delay until hitting the POP and reaching a router on the far side. So time to connect to a lightly-loaded remote host on a nearby network would actually largely be governed by the speed of light distance to the destination rather than by incidental router delays. Feeling slightly giddy, I typed into my shell: $ units 1311 units, 63 prefixes You have: 3 millilightseconds You want: miles * 558.84719 / 0.0017893979 "500 miles, or a little bit more."This example is really easy - it involved a well-defined system built around logical constructs.1 Understanding humans and human behavior is much more difficult and anyone who says they can is naïve and/or lying. Data mining may give candidate shards of information, but they are highly contextual and you must know the steps used to gather, filter and process the information and how reliable they are. You had damn well know the errors and error propagation. And even then the resulting information may not be terribly useful as human behavior isn't exactly an axiomatic system.
It is more important to develop a deep understanding of what you need to know. You must learn what it is you need to know and how to get a "good enough" approximation. For companies like Apple, Pixar, Trader Joe's, and Lululemon success doesn't rest on data mining, but on other techniques. It is likely data mining techniques wouldn't be terrible useful to these companies for their current products. It may be that Apple finds some great uses as Siri builds out, but for now great design doesn't rest on it.
I suspect the companies successful with data mining will be vendors who sell to the masses and don't really care about the results as long as the money keeps coming in along with a few companies who have learned there is a solid niche for them and can ask the right questions to know the information produced is robust enough to make a material difference in their bottom line. I suspect the later group will be made up with companies who are indeed ready to learn.
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I'm very proud of Jheri! Here is the ice cream I'll make in her honor defrosting some wild blueberries that were picked last Summer at peak season. I'll follow it with a quick recipe for something really simple.
There are many ways to make ice cream - I use a simple refrigerated freezer that gets reasonably cold. Liquid nitrogren techniques are even better if you have access. Drop me a note if you are interested. Also I have more than a few great ice cream recipes from years of experimentation starting with Steve in the dorm basement at Stony Brook. We literally wore out three freezers during our experiments.
Blueberry Ice Cream
Ingredients
OK now the simple recipe.
The Un-Egg Cream
Too simple to talk about ingredients or technique. I like the idea of an egg cream and this is a simple variation. Get some seltzer or, better yet, Cherry 7-Up chilled to near freezing. Pour some milk based drink, properly chilled into the glass - perhaps 50 grams or so (about two ounces). Pour about five or six times as much of the bubbly fluid on top and rapidly stir with a long thin spoon.
Very refreshing. My favorite combination is Sunkist Naturals Pina Colada Protein Smoothie and Cherry 7-Up (diet or regular ... diet is probably somewhat healthier)
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1 There is a class of computer "failures" that are, at their hearts, insufficiently understood systems. Often "data" is the issue
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