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RH: Yeah, and again, we try not to think about it in addiction terms, we think about it as, you know: What are you going to do with your time and when you want to relax?
Most of them aren't based on the Internet yet, but they're starting to use the Internet for service functions, for administrative functions, and so if you take something like the cell phone system, which is still relatively independent of the Internet for the most part, Internet pieces are beginning to sneak into it in
terms
of some of the control and administrative functions, and it's so tempting to use these same building blocks because they work so well, they're cheap, they're repeated, and so on.
It's exciting to see that in
terms
of what we've learned, but how many of those 4,000 diseases now have treatments available?
How does that play out in
terms
of application to a disease?
Could we, in fact, encourage all the companies that are out there that have drugs in their freezers that are known to be safe in humans but have never actually succeeded in
terms
of being effective for the treatments they were tried for?
The payoff is enormous, both in
terms
of health and in
terms
of economic growth.
Second, we need new kinds of partnerships between academia and government and the private sector and patient organizations, just like the one I've been describing here, in
terms
of the way in which we could go after repurposing new compounds.
Now, we've pushed the technology as far as it can go, but there's still less than a second of latency, but in musical terms, that's a lifetime.
He ran into all sorts of problems in
terms
of managing the medical research part.
That means that the brains are synced up more closely in
terms
of simultaneous activity, and the arrows flow clearly from left to right.
This uses 20 times less energy for every mile or kilometer that you travel than a car, which means not only is this thing fast to charge and really cheap to build, but it also reduces the footprint of your energy use in
terms
of your transportation.
So this is all in
terms
of negative motivation, or eliminating negative motivation.
That means between now and late 2014, we will generate as much information, in
terms
of gigabytes, as all of humanity has in all the previous millenia put together.
If you look at disability, as measured by the World Health Organization with something they call the Disability Adjusted Life Years, it's kind of a metric that nobody would think of except an economist, except it's one way of trying to capture what is lost in
terms
of disability from medical causes, and as you can see, virtually 30 percent of all disability from all medical causes can be attributed to mental disorders, neuropsychiatric syndromes.
But what I want to suggest to you is that both of those terms, which have been in play for a century or more, are actually now impediments to progress, that what we need conceptually to make progress here is to rethink these disorders as brain disorders.
This is the time when we all assume that everything somehow in
terms
of writing was perfect because the people on "Downton Abbey" are articulate, or something like that.
That's certainly true of being bidialectal in
terms
of your writing.
This is a log scale, so what looks like steady growth is actually an acceleration in real
terms.
And in that episode, I answer the question and I get a chance to explain what would normally be kind of dry topics: optics, diffuse versus specular reflection, how light works, how light works on the retina, and even the etymology of color
terms
like white and black.
It's a different idea, because usually, when people talk about early childhood programs, they talk about all the wonderful benefits for participants in
terms
of former participants, in preschool, they have better K-12 test scores, better adult earnings.
So there is this key benefit that is relevant to state policy makers in
terms
of economic development.
I mentioned there's a multiplier of about three, 2.78, for the state economy, in
terms
of over 80 billion in extra earnings.
So this is an investment that pays off in very concrete
terms
for a broad range of income groups in the state's population and produces large and tangible benefits.
So we're talking about an investment that in
terms
of impacts on the state economy is not going to really pay off for 15 or 20 years, and of course America is notorious for being a short term-oriented society.
That story, in
terms
of buildings, started in the late '60s, early '70s.
And you can measure the performance, in
terms
of energy consumption, of that building against a typical library.
And the turning point was probably, in our terms, when we had the first computer.
Obviously the wind tunnel had a place, but the ability now with the computer to explore, to plan, to see how that would work in
terms
of the forces of nature: natural ventilation, to be able to model the chamber below, and to look at biomass.
And again, we can measure the reduction in
terms
of energy consumption.
Comparing it with a typical building, what happens if we seek to use such design strategies in
terms
of really large-scale thinking?
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