That's a possibility says a new report.
Human sounds convey emotions clearer and faster than words. Brain uses "older" systems/structures to preferentially process emotion expressed through vocalizations.
It takes just one-tenth of a second for our brains to begin to recognize emotions conveyed by vocalizations, according to researchers from McGill. It doesn't matter whether the non-verbal sounds are growls of anger, the laughter of happiness or cries of sadness. More importantly, the researchers have also discovered that we pay more attention when an emotion (such as happiness, sadness or anger) is expressed through vocalizations than we do when the same emotion is expressed in speech.
The beating of our hearts, the rush of our blood and the myriad chemical reactions that keep us alive are all potential energy sources. Experts are working to develop technologies that take advantage of the powerful biological ecosystems we already carry around with us.
Engineers at the University of Illinois at Urbana-Champaign and Northwestern University teamed up with cardiologists at the University of Arizona to develop what they call piezoelectric nanoribbons, which attach to the outside of the heart muscle, much like a Band-Aid. These tiny strips contain crystals that create an electric current when flexed — each time the heart expands and contracts. In animal tests, electrical output reached 0.2 microwatts per square centimeter, potentially strong enough to power self-contained pacemakers and make battery-replacement surgeries a thing of the past.
A thin strip with piezoelectric power generators can convert this cow heart's movements into electrical power to run pacemakers or other medical devices.
#nanotech #nanoribbon #heartstitch
Understanding complexity and equilibrium in the global economy (demand vs.supply vs emerging vs. interconnections vs. self-healing vs ... ) seems fundamental and as the viewpoint is purely mathematical, using for example cell biology systems as well as complex eco-systems as forests and connections between people in a neighborhood or mapping different interactions between people in small or big cities etc.THE equation needs to be modeled beyond the limitations of the physical economy as a primary principle, but not limited to it.
Prof. W. Brian Arthur work focuses on the 'second economy", where the root systems of forests in Aspen are his metaphor on the idea of the second economy , the original writing: http://goo.gl/2cVHdf , a glimpse of it here:
"Aspen root systems: If I were to look for adjectives to describe this second economy, I’d say it is vast, silent, connected, unseen, and autonomous (meaning that human beings may design it but are not directly involved in running it). It is remotely executing and global, always on, and endlessly configurable. It is concurrent—a great computer expression—which means that everything happens in parallel. It is self-configuring, meaning it constantly reconfigures itself on the fly, and increasingly it is also self-organizing, self-architecting, and self-healing."
"These last descriptors sound biological—and they are. In fact, I’m beginning to think of this second economy, which is under the surface of the physical economy, as a huge interconnected root system, very much like the root system for aspen trees. For every acre of aspen trees above the ground, there’s about ten miles of roots underneath, all interconnected with one another, “communicating” with each other."
Stephen Hawking: " the 21st century will be the century of complexity."
Physicist Heinz Pagels: "the nations and people who master the new sciences of complexity will become the economic, cultural, and political superpowers of the 21st century."
"Complexity is a movement in the sciences that greatly influences thoughts about the dynamics of our world. Instead of looking at objects of study top-down in a reductionist manner as has been done for four centuries, complexity science seeks to look at its objects of study from the bottom up, seeing them as systems of interacting elements that form, change, and evolve over time. Complexity therefore is not so much a subject as a way of looking at systems.
Complexity science is exciting. The knowledge it can deliver is crucial to coping with the grand challenges confronting humanity, such as hunger, energy, water, health, climate, security, sustainability, innovation, and the impact of technology. Complexity science is inherently interdisciplinary. It gets its problems from the real non-disciplinary world and its energy and ideas from all fields of science, at the same time affecting each."
- LECTURE of Prof. W. Brian Arthur at NANYANG Technological University http://goo.gl/oMMmp2
- Barabasi short TEDMED as addendum http://goo.gl/Lr2XMu
- image http://goo.gl/YEykcW
There are tons of materials with regard to the complexity and networking systems and my impression was if it is possible to re-fresh the whole bundle of the idea and probably encourage other people in the community to post, especially if this is their focus as scientists or they have grounded their research in these fields or they are interested yet more knowledgeable in the field. IM posting it in Earth, thu I think that it could as well be posted in Life , Physical as well as Social categories. And: this should be regarded as my first appearance with semi-writing and linking the idea I have been thinking of in the last days here in the community on Science on google+ (:
глокая куздра штеко кудланула бокра и курдячит бокренка
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