Science, Technology, and Current Futurism
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Science, Technology, and Current Futurism
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Hair Regrowth Discovery Suggests Skin Cells Communicate Like Bacteria

Hair Regrowth Discovery Suggests Skin Cells Communicate Like Bacteria | Science, Technology, and Current Futurism | Scoop.it
A chemical signaling system called quorum sensing allows those single-celled bugs to detect when their numbers have multiplied enough to mount an effective attack or emit glowing light. Yet decades after scientists learned about this brainless bacterial coordination a research team has uncovered new evidence suggesting animal cells may speak the same lingo.
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How the Bollywood Actors Network Reveals India's Troubled History | MIT Technology Review

How the Bollywood Actors Network Reveals India's Troubled History | MIT Technology Review | Science, Technology, and Current Futurism | Scoop.it
The network of links between actors who have costarred in Bollywood films shows a clear connection to India’s political and economic history, say network scientists.
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Programming smart molecules for chemical-based AI | KurzweilAI

“This work shows that it is possible to also build intelligent machines at tiny scales, without needing anything that looks like a regular computer. This kind of chemical-based AI will be necessary for constructing therapies that sense and adapt to their environment. The hope is to eventually have drugs that can specialize themselves to your personal chemistry and can diagnose or treat a range of pathologies.”

 
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Spectral Signatures of Reorganised Brain Networks in Disorders of Consciousness

Spectral Signatures of Reorganised Brain Networks in Disorders of Consciousness | Science, Technology, and Current Futurism | Scoop.it
Theoretical advances in the science of consciousness have proposed that it is concomitant with balanced cortical integration and differentiation, enabled by efficient networks of information transfer across multiple scales. Here, we apply graph theory to compare key signatures of such networks in high-density electroencephalographic data from 32 patients with chronic disorders of consciousness, against normative data from healthy controls. Based on connectivity within canonical frequency bands, we found that patient networks had reduced local and global efficiency, and fewer hubs in the alpha band. We devised a novel topographical metric, termed modular span, which showed that the alpha network modules in patients were also spatially circumscribed, lacking the structured long-distance interactions commonly observed in the healthy controls. Importantly however, these differences between graph-theoretic metrics were partially reversed in delta and theta band networks, which were also significantly more similar to each other in patients than controls. Going further, we found that metrics of alpha network efficiency also correlated with the degree of behavioural awareness. Intriguingly, some patients in behaviourally unresponsive vegetative states who demonstrated evidence of covert awareness with functional neuroimaging stood out from this trend: they had alpha networks that were remarkably well preserved and similar to those observed in the controls. Taken together, our findings inform current understanding of disorders of consciousness by highlighting the distinctive brain networks that characterise them. In the significant minority of vegetative patients who follow commands in neuroimaging tests, they point to putative network mechanisms that could support cognitive function and consciousness despite profound behavioural impairment.

Via Ashish Umre
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From Football Fans to Communist Regimes, It Doesn't Take Much to Form a Group

From Football Fans to Communist Regimes, It Doesn't Take Much to Form a Group | Science, Technology, and Current Futurism | Scoop.it
Computer model suggests two simple rules drive the creation of "us”" versus "them"
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Researchers Develop New Method for Understanding Network Connections | CSAIL

Researchers Develop New Method for Understanding Network Connections | CSAIL | Science, Technology, and Current Futurism | Scoop.it
In a new paper appearing in the August edition of Nature Biotechnology, Kellis and colleagues from the MIT Computer Science and Artificial Intelligence Lab (CSAIL), the MIT Research Laboratory of Electronics (RLE), and the Broad Institute, describe a new algorithm that can infer direct dependencies in a network. 
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