Social Foraging
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Social Foraging
Dynamics of Social Interaction
Curated by Ashish Umre
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Brain-controlling magnets (Transcranial Magnetic Stimulation): how do they work?

Brain-controlling magnets (Transcranial Magnetic Stimulation): how do they work? | Social Foraging | Scoop.it

Transcranial magnetic stimulation alters the activity of the brain without the need for an invasive physical procedure. But for such a ground-breaking and potentially alarming technique, it is not very well known.

 

If you were to tell people that the technology exists to manipulate the workings of people's brains, they may not believe you. That sort of thing is the stuff of cheap sci-fi B movies. If someone in the real world were to try to develop it, that's exactly the sort of scenario where they'd send James Bond in to stop them before it got too far.

 

But the fact is that this technology genuinely exists and is widely used in neuroscientific research. It is known as Transcranial magnetic stimulation, or TMS, and as the name suggests it stimulates the brain through the cranium using magnetism.

 

Magnets and the brain work together a lot. Neuroscience is an increasingly media-friendly area of science, and this is due in part to the increasing use of magnetic resonance imaging (MRI), an invaluable but complex technique that uses intense magnetic fields and radio waves to produce eye-catching images of a working body and brain.

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Scott Page on Leveraging Diversity

Professor Scott E. Page speaks on "Leveraging Diversity" in the Darden School of Business' Abbott Auditorium. Scott is the Leonid Hurwicz Collegiate Professo...

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Viktor Markowski's curator insight, May 16, 2013 5:14 PM

One and a half hour of highly entertaining and high speed train thoughts on diversity and how to apply it.

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Nondestructive Intervention to Multi-Agent Systems through an Intelligent Agent

Nondestructive Intervention to Multi-Agent Systems through an Intelligent Agent | Social Foraging | Scoop.it

For a given multi-agent system where the local interaction rule of the existing agents can not be re-designed, one way to intervene the collective behavior of the system is to add one or a few special agents into the group which are still treated as normal agents by the existing ones. We study how to lead a Vicsek-like flocking model to reach synchronization by adding special agents. A popular method is to add some simple leaders (fixed-headings agents). However, we add one intelligent agent, called ‘shill’, which uses online feedback information of the group to decide the shill's moving direction at each step. A novel strategy for the shill to coordinate the group is proposed. It is strictly proved that a shill with this strategy and a limited speed can synchronize every agent in the group. The computer simulations show the effectiveness of this strategy in different scenarios, including different group sizes, shill speed, and with or without noise. Compared to the method of adding some fixed-heading leaders, our method can guarantee synchronization for any initial configuration in the deterministic scenario and improve the synchronization level significantly in low density groups, or model with noise. This suggests the advantage and power of feedback information in intervention of collective behavior.

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Electronic Implementation of a Repressilator with Quorum Sensing Feedback

Electronic Implementation of a Repressilator with Quorum Sensing Feedback | Social Foraging | Scoop.it
We investigate the dynamics of a synthetic genetic repressilator with quorum sensing feedback. In a basic genetic ring oscillator network in which three genes inhibit each other in unidirectional manner, an additional quorum sensing feedback loop stimulates the activity of a chosen gene providing competition between inhibitory and stimulatory activities localized in that gene. Numerical simulations show several interesting dynamics, multi-stability of limit cycle with stable steady-state, multi-stability of different stable steady-states, limit cycle with period-doubling and reverse period-doubling, and infinite period bifurcation transitions for both increasing and decreasing strength of quorum sensing feedback. We design an electronic analog of the repressilator with quorum sensing feedback and reproduce, in experiment, the numerically predicted dynamical features of the system. Noise amplification near infinite period bifurcation is also observed. An important feature of the electronic design is the accessibility and control of the important system parameters.
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Interface-Resolved Network of Protein-Protein Interactions

Interface-Resolved Network of Protein-Protein Interactions | Social Foraging | Scoop.it

We define an interface-interaction network (IIN) to capture the specificity and competition between protein-protein interactions (PPI). This new type of network represents interactions between individual interfaces used in functional protein binding and thereby contains the detail necessary to describe the competition and cooperation between any pair of binding partners. Here we establish a general framework for the construction of IINs that merges computational structure-based interface assignment with careful curation of available literature. To complement limited structural data, the inclusion of biochemical data is critical for achieving the accuracy and completeness necessary to analyze the specificity and competition between the protein interactions. Firstly, this procedure provides a means to clarify the information content of existing data on purported protein interactions and to remove indirect and spurious interactions. Secondly, the IIN we have constructed here for proteins involved in clathrin-mediated endocytosis (CME) exhibits distinctive topological properties. In contrast to PPI networks with their global and relatively dense connectivity, the fragmentation of the IIN into distinctive network modules suggests that different functional pressures act on the evolution of its topology. Large modules in the IIN are formed by interfaces sharing specificity for certain domain types, such as SH3 domains distributed across different proteins. The shared and distinct specificity of an interface is necessary for effective negative and positive design of highly selective binding targets. Lastly, the organization of detailed structural data in a network format allows one to identify pathways of specific binding interactions and thereby predict effects of mutations at specific surfaces on a protein and of specific binding inhibitors, as we explore in several examples. Overall, the endocytosis IIN is remarkably complex and rich in features masked in the coarser PPI, and collects relevant detail of protein association in a readily interpretable format.

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Digitalisation of Education will Result in Fifteen fold Growth for e-Learning Market over the next decade

Digitalisation of Education will Result in Fifteen fold Growth for e-Learning Market over the next decade | Social Foraging | Scoop.it
Industry research into the parallels between the education and media industries conducted by specialist media investment and advisory firm IBIS Capital and Edxus Group, an education technology company established to develop and acquire e-learning businesses, has revealed enormous potential for the future of the e-learning market. While education as a whole is triple the size of the media and entertainment industry at $4.2 trillion, digital education is currently only 20% of the size of the digital media market. Since education is undergoing the same disruptive effects of digitalisation that the media industry has seen in recent years, IBIS Capital and Edxus Group expect to see fifteen fold growth in the e-learning market in the next 10 years to represent 30% of the total education market. In addition, if private funding becomes more widely available to support innovation and consolidation in the sector and historical impediments to the development of digital education are diminished, the transition to digital education will be even quicker and more disruptive than that observed in the media industry over the past decade.
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Ashish Umre's comment, January 28, 2014 12:52 PM
Hi Julia, Thanks for the link. I am based in the UK, and this meetup is a rather long way away. Hopefully, there will be one organised closer to the UK.
Ashish Umre's comment, January 28, 2014 1:11 PM
Ofcourse, I didn't get that bit at first glance. I have now registered. Thanks again!
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Why the free market is like quantum mechanics (and both are unrealistic constructs)

Why the free market is like quantum mechanics (and both are unrealistic constructs) | Social Foraging | Scoop.it

If we were omniscient and had infinitely fast and perfect computers, perhaps we could use quantum mechanics to explain chemistry, biology, economics and psychology. In reality, no amount of quantum mechanical theorizing can explain how molecular aggregates coalesce to give rise to self-replicating assemblies, let alone how these assemblies acquire the capacity for consciousness, introspection and purposeful action.

 

Now imagine someone who has started out with the honest and admirable goal of trying to apply quantum mechanics to understand the behavior of a “simple” biological system like a protein. He knows for a fact that quantum mechanics canaccount for (not explain) all of chemistry- the great physicist Paul Dirac himself said that. He has complete confidence that quantum mechanics is really the best way to get the most accurate estimates of thermodynamic free energy, solubility, molecular charges and a variety of other important chemical properties for his favorite protein.

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Privacy protections: The genome hacker

Privacy protections: The genome hacker | Social Foraging | Scoop.it

Yaniv Erlich shows how research participants can be identified from 'anonymous' DNA.

 

Late at night, a video camera captures a man striding up to the locked door of the information-technology department of a major Israeli bank. At this hour, access can be granted only by a fingerprint reader — but instead of using the machine, the man pushes a button on the intercom to ring the receptionist's phone. As it rings, he holds his mobile phone up to the intercom and presses the number 8. The sound of the keypad tone is enough to unlock the door. As he opens it, the man looks back to the camera with a shrug: that was easy.

 

Yaniv Erlich — the star of this 2006 video — considers this one of his favourite hacks. Technically a “penetration exercise” conducted to expose the bank's vulnerabilities, it was one of several projects that Erlich worked on during a two-year stint with a security firm based near Tel Aviv. Since then, the 33-year-old computational biologist has been bringing his hacker ethos to biology. Now at the Whitehead Institute for Biomedical Research in Cambridge, Massachusetts, he is using genome data in new ways, and in the process exposing vulnerabilities in databases that hold sensitive information on thousands of individuals around the world.

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Johan Bollen. Modeling collective mood states from large-scale social media data.

ECCO/GBI seminar winter 2012-2013
Modeling collective mood states from large-scale social media data
December 17, 2012 Brussels, VUB

Johan Bollen
Associate Professor,
School of Informatics and Computing,
Indiana University

Abstract and more info: http://ecco.vub.ac.be/?q=node/199


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Temporal Networks

Temporal Networks | Social Foraging | Scoop.it

The concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen.
Many studies of the last decade examine how the static network structure affect dynamic systems on the network. In this traditional approach the temporal aspects are pre-encoded in the dynamic system model.
Temporal-network methods, on the other hand, lift the temporal information from the level of system dynamics to the mathematical representation of the contact network itself.
This framework becomes particularly useful for cases where there is a lot of structure and heterogeneity both in the timings of interaction events and the network topology.

 

Temporal Networks
Holme, Petter; Saramäki, Jari (Eds.)

http://t.co/DWnhXNIiXb

 


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Neuromarketing Meets Conversion Optimization: Free Webinar

Neuromarketing Meets Conversion Optimization: Free Webinar | Social Foraging | Scoop.it

Next week, conversion optimization expert Chris Goward and I will be doing a joint webinar: Neuromarketing Meets Conversion Optimization: Brainy Profit Boosters.

 

I was excited to set this up with Chris, who’s the author of You Should Test That.


Testing is critical. In nearly every speech I give, I include a quote from ad legend David Ogilvy about “Test” being the most important word in advertising. Sadly, most marketers tend to trust their instinct or do things that worked for other people on other sites. Stuff that has been shown to work elsewhere is a great starting point for improving conversion, but there’s no guarantee that it will do the same thing on your site for your product. I’ve seen Chris present, and he always has great examples of test results that are the opposite of what most people expect.

 

Both Chris and I will be discussing research and testing that will surprise you as well as give you actionable strategies to improve your digital marketing.

 

Reserve your spot now (Free for the first 500 attendees)!

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Employment Growth through Labor Flow Networks

Employment Growth through Labor Flow Networks | Social Foraging | Scoop.it

It is conventional in labor economics to treat all workers who are seeking new jobs as belonging to a labor pool, and all firms that have job vacancies as an employer pool, and then match workers to jobs. Here we develop a new approach to study labor and firm dynamics. By combining the emerging science of networks with newly available employment micro-data, comprehensive at the level of whole countries, we are able to broadly characterize the process through which workers move between firms. Specifically, for each firm in an economy as a node in a graph, we draw edges between firms if a worker has migrated between them, possibly with a spell of unemployment in between. An economy's overall graph of firm-worker interactions is an object we call the labor flow network (LFN). This is the first study that characterizes a LFN for an entire economy. We explore the properties of this network, including its topology, its community structure, and its relationship to economic variables. It is shown that LFNs can be useful in identifying firms with high growth potential. We relate LFNs to other notions of high performance firms. Specifically, it is shown that fewer than 10% of firms account for nearly 90% of all employment growth. We conclude with a model in which empirically-salient LFNs emerge from the interaction of heterogeneous adaptive agents in a decentralized labor market.

 

Guerrero OA, Axtell RL (2013) Employment Growth through Labor Flow Networks. PLoS ONE 8(5): e60808. http://dx.doi.org/10.1371/journal.pone.0060808


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More Doodling Makes For Better Learning

More Doodling Makes For Better Learning | Social Foraging | Scoop.it

Doodling is often seen as a sign of distraction. If you’re doodling, you’re not paying attention. If you’re drawing, you’re not taking notes. You’re not listening. You’re not learning.

 

But research published in the latest edition of the journal Science challenges the anti-doodling stance. It contends that not only can doodling help students learn, but that drawing is an important tool for scientific discovery.

 

The researchers — Shaaron Ainsworth, Vaughan Prain, and Russell Tytler — argue that scientists rely on visualizations in order to make sense of their observations and discoveries. Words alone — as notes or as longer explanation and analysis — aren’t enough. By extension then, creating drawings is important for all those engaged in scientific inquiry, whether they’re scientists or students.

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Global computational intelligence

Global computational intelligence | Social Foraging | Scoop.it

So what would it mean for us?

 

For a person – start feeling as part of the whole body or real-time sensor/motor cell of entire humanity organism, with every your search query, email, chat message or mouse click making it a bit more clever and strong, and every your action to some extent inspired by it.

 

For software developers – get ready for emerging market of intellectual agent software (with first lonely players like Siri, Google Now and Sherpa), either keeping in mind business model of a «pilot fish», operating in biocenosis with one of the «Big Sharks» or having a good exit strategy for the case when your functionality may get on the way of some of major players (like it has happened to Yandex Wonder).

 

For business – for competitive business promotion, understand how to craft «double-sided» web pages looking attractive for fellow people on one side and rich of true semantic markup on the other side. That kind of markup, invisible to human eye (see http://schema.org/ for more details) is to be indexed by «semantic crawler» at Google, collecting the thought-food for its Knowledge Graph — so that your site could get returned to user as single right answer on user's query, instead of being on 10th row of second page of search results.

 

For government – be clear that ability to enable national projects of intellectual globalization might turn into a key for national security in the very close future. That does not necessarily mean any governmental funding of certain developments, as we have seen couple business enterprises managed to capture the third of the world in few years, so the most efficient option would be creation of appropriate business environments for high technology and information technology businesses within national borders.

 

For humanity – get ready to pass through the next (since invention of computers and internet) pivotal point of development, with all coming surprises, frustrations and openings of new opportunities.

 

For evolution – prepare to record forthcoming meta-system transition (since assembly of atoms in the molecule, molecules in the cell, cells into organism and neurons in the brain) in the Universe's diary book.


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Luciano Lampi's curator insight, May 17, 2013 6:51 AM

Endless complexity!

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Ancestral Genome Inference Using a Genetic Algorithm Approach

Ancestral Genome Inference Using a Genetic Algorithm Approach | Social Foraging | Scoop.it

Recent advancement of technologies has now made it routine to obtain and compare gene orders within genomes. Rearrangements of gene orders by operations such as reversal and transposition are rare events that enable researchers to reconstruct deep evolutionary histories. An important application of genome rearrangement analysis is to infer gene orders of ancestral genomes, which is valuable for identifying patterns of evolution and for modeling the evolutionary processes. Among various available methods, parsimony-based methods (including GRAPPA and MGR) are the most widely used. Since the core algorithms of these methods are solvers for the so called median problem, providing efficient and accurate median solver has attracted lots of attention in this field. The “double-cut-and-join” (DCJ) model uses the single DCJ operation to account for all genome rearrangement events. Because mathematically it is much simpler than handling events directly, parsimony methods using DCJ median solvers has better speed and accuracy. However, the DCJ median problem is NP-hard and although several exact algorithms are available, they all have great difficulties when given genomes are distant. In this paper, we present a new algorithm that combines genetic algorithm (GA) with genomic sorting to produce a new method which can solve the DCJ median problem in limited time and space, especially in large and distant datasets. Our experimental results show that this new GA-based method can find optimal or near optimal results for problems ranging from easy to very difficult. Compared to existing parsimony methods which may severely underestimate the true number of evolutionary events, the sorting-based approach can infer ancestral genomes which are much closer to their true ancestors. The code is available at http://phylo.cse.sc.edu.

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Modes of Competition: Adding and Removing Brown Trout in the Wild to Understand the Mechanisms of Density-Dependence

Modes of Competition: Adding and Removing Brown Trout in the Wild to Understand the Mechanisms of Density-Dependence | Social Foraging | Scoop.it

While the prevalence of density-dependence is well-established in population ecology, few field studies have investigated its underlying mechanisms and their relative population-level importance. Here, we address these issues, and more specifically, how differences in body-size influence population regulation. For this purpose, two experiments were performed in a small coastal stream on the Swedish west coast, using juvenile brown trout (Salmo trutta) as a study species. We manipulated densities of large and small individuals, and observed effects on survival, migration, condition and individual growth rate in a target group of intermediate-sized individuals. The generality of the response was investigated by reducing population densities below and increasing above the natural levels (removing and adding large and small individuals). Reducing the density (relaxing the intensity of competition) had no influence on the response variables, suggesting that stream productivity was not a limiting factor at natural population density. Addition of large individuals resulted in a negative density-dependent response, while no effect was detected when adding small individuals or when maintaining the natural population structure. We found that the density-dependent response was revealed as reduced growth rate rather than increased mortality and movement, an effect that may arise from exclusion to suboptimal habitats or increased stress levels among inferior individuals. Our findings confirm the notion of interference competition as the primary mode of competition in juvenile salmonids, and also show that the feedback-mechanisms of density-dependence are primarily acting when increasing densities above their natural levels.

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The Emergence of Environmental Homeostasis in Complex Ecosystems

The Emergence of Environmental Homeostasis in Complex Ecosystems | Social Foraging | Scoop.it

The Earth, with its core-driven magnetic field, convective mantle, mobile lid tectonics, oceans of liquid water, dynamic climate and abundant life is arguably the most complex system in the known universe. This system has exhibited stability in the sense of, bar a number of notable exceptions, surface temperature remaining within the bounds required for liquid water and so a significant biosphere. Explanations for this range from anthropic principles in which the Earth was essentially lucky, to homeostatic Gaia in which the abiotic and biotic components of the Earth system self-organise into homeostatic states that are robust to a wide range of external perturbations. Here we present results from a conceptual model that demonstrates the emergence of homeostasis as a consequence of the feedback loop operating between life and its environment. Formulating the model in terms of Gaussian processes allows the development of novel computational methods in order to provide solutions. We find that the stability of this system will typically increase then remain constant with an increase in biological diversity and that the number of attractors within the phase space exponentially increases with the number of environmental variables while the probability of the system being in an attractor that lies within prescribed boundaries decreases approximately linearly. We argue that the cybernetic concept of rein control provides insights into how this model system, and potentially any system that is comprised of biological to environmental feedback loops, self-organises into homeostatic states.

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Where Thomas Nagel Went Wrong: What drives the nonliving to living, the simple to complex, and the instinctual to intellectual?

Where Thomas Nagel Went Wrong: What drives the nonliving to living, the simple to complex, and the instinctual to intellectual? | Social Foraging | Scoop.it
The philosopher's critique of evolution wasn't shocking. So why have his colleagues raked him over the coals?

 

Thomas Nagel is a leading figure in philosophy, now enjoying the title of university professor at New York University, a testament to the scope and influence of his work. His 1974 essay "What Is It Like to Be a Bat?" has been read by legions of undergraduates, with its argument that the inner experience of a brain is truly knowable only to that brain. Since then he has published 11 books, on philosophy of mind, ethics, and epistemology.

 

But Nagel's academic golden years are less peaceful than he might have wished. His latest book, Mind and Cosmos (Oxford University Press, 2012), has been greeted by a storm of rebuttals, ripostes, and pure snark. "The shoddy reasoning of a once-great thinker," Steven Pinker tweeted. The Weekly Standard quoted the philosopher Daniel Dennett calling Nagel a member of a "retrograde gang" whose work "isn't worth anything—it's cute and it's clever and it's not worth a damn."

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Which came first: Farming or private property? Wrong question, suggests new paper

Which came first: Farming or private property? Wrong question, suggests new paper | Social Foraging | Scoop.it

It has long been assumed that the advent of farming 12 millennia ago led to the birth of what we now call private property rights. But new data on the productivity of early farming and hunting-gathering, along with new mathematical modeling by SFI researchers, tell a very different story.

 

In a paper appearing this week in Proceedings of the National Academy of Science, SFI’s Sam Bowles and Kyungpook National University's Jung-Kyoo Choi show that farming, by itself, could not have driven property rights. Nor did property rights alone drive farming. Instead, it looks like farming and private property rights evolved shoulder-to-shoulder: each dependent on the other.

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First proof that infinitely many prime numbers come in pairs

First proof that infinitely many prime numbers come in pairs | Social Foraging | Scoop.it

It’s a result only a mathematician could love. Researchers hoping to get ‘2’ as the answer for a long-sought proof involving pairs of prime numbers are celebrating the fact that a mathematician has wrestled the value down from infinity to 70 million.

 

“That’s only [a factor of] 35 million away” from the target, quips Dan Goldston, an analytic number theorist at San Jose State University in California who was not involved in the work. “Every step down is a step towards the ultimate answer.”

 

That goal is the proof to a conjecture concerning prime numbers. Those are the whole numbers that are divisible only by one and themselves. Primes abound among smaller numbers, but they become less and less frequent as one goes towards larger numbers. In fact, the gap between each prime and the next becomes larger and larger — on average. But exceptions exist: the ‘twin primes’, which are pairs of prime numbers that differ in value by 2. Examples of known twin primes are 3 and 5, or 17 and 19, or 2,003,663,613 × 2195,000 − 1 and 2,003,663,613 × 2195,000 + 1.

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'Geography of Hate' maps racism and homophobia on Twitter

'Geography of Hate' maps racism and homophobia on Twitter | Social Foraging | Scoop.it

Twitter, even more than many other social media tools, can feel disconnected from the real world. But a group of students and professors at research site Floating Sheep have built a comprehensive map of some of Twitter's most distasteful content: the racist, homophobic, or ableist slurs that can proliferate online. Called Geography of Hate, the interactive map charts ten relatively common slurs across the continental US, either by general category or individually. Looking at the whole country, you'll often see a mass of red or what the map's creators call a "blue smog of hate." Zooming in, however, patches appear over individual regions or cities; some may be predictable, while others are not.


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Networks in 2020: More traffic, less energy

The GreenTouch industry consortium says new technologies could cut power consumption by 90 percent

 

Networks could use far less energy by 2020 even though they'll be carrying much more traffic, an industry group says.

 

The GreenTouch consortium, formed in 2010 to speed up progress on more efficient networks, says it has identified technologies that together could cut network power needs by 90 percent even in the face of rapidly growing data demand. The group of equipment vendors, component makers and service providers will present that conclusion in a report due in mid-June.

 

"There is potential with these new technologies to support the traffic growth and still make the energy consumption go down," said Thierry Klein, chairman of GreenTouch's technical committee. Klein also leads green research at Alcatel-Lucent's Bell Labs division.

 

The tools that make this possible include new devices, components, algorithms, architectures and protocols, Klein said. All have been proved in labs, he said. The potential energy savings represents a comparison between a 2010 network with that year's traffic levels and a theoretical 2020 network with projections of traffic amounts for that year.

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What to do with 'big data' when we don't yet have a theory of complex systems

What to do with 'big data' when we don't yet have a theory of complex systems | Social Foraging | Scoop.it
As the world becomes increasingly complex and interconnected, some of our biggest challenges have begun to seem intractable. What should we do about uncertainty in the financial markets? How can we predict energy supply and demand? How will climate change play out? How do we cope with rapid urbanization? Our traditional approaches to these problems are often qualitative and disjointed and lead to unintended consequences. To bring scientific rigor to the challenges of our time, we need to develop a deeper understanding of complexity itself.
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Persuade with Visual Metaphors: Neuromarketing

Persuade with Visual Metaphors: Neuromarketing | Social Foraging | Scoop.it

While we think of metaphors as mainly word-based, visual metaphors can be a potent selling tool. They can both engage the brain like text metaphors and stimulate the viewer’s senses in a way that words alone may not.

 

I ran across an ad for Austin-based Elements Laser Spa that includes both a visual metaphor and a play on words. The ad shows a rose with its thorns removed, while its headline text reads, “Nice Stems.” (For international Neuromarketing readers, “stems” is slang for “legs.”)

 

This ad is brilliant in several ways. First, it produces an “aha!” reward to the viewer’s brain since most readers will understand the cryptic ad only when they look at the small print below. (The print version of this ad has a small box below the illustration that offers a discount on laser hair removal. The long-stemmed rose with the little pile of thorns won’t make sense at first, but upon seeing the text in the discount offer just about every viewer will immediately grasp what’s going on.

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Tyler Evans's curator insight, July 18, 2013 7:25 PM

Take a look at this advertisement (and accompanying article).  For Orwell, good writers can create fresh, enduring metaphors.  They don't rely on "stale metaphors."  Considering this idea, be sure to focus on the three qualities of metaphors, as presented in this article.  How does this literary concept translate in the world of visual art?

Laurene Franzon's curator insight, October 13, 2013 12:51 PM

Neuromarketing par l'image

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On Brewing Fresh Espresso: LinkedIn's Distributed Data Serving Platform

This paper written by the LinkedIn Espresso Team, and the talk to be given by Lin Qiao, will appear at the ACM SIGMOD/PODS Conference (June 2013).

 

As LinkedIn has grown, our core data sets and request processing requirements have grown as well. The development of Espresso was motivated by our desire to migrate LinkedIn’s online serving infrastructure from monolithic, commercial, RDBMS systems running on high cost specialized hardware to elastic clusters of commodity servers running free software; and to improve agility by enabling rapid development by simplifying the programming model, separating scalability, routing, caching from business logic. Espresso is a document-oriented distributed data serving platform that has been built to address LinkedIn’s requirements for a scalable, performant, source-of-truth primary store. It provides a hierarchical document model, transactional support for modifications to related documents, real- time secondary indexing, on-the-fly schema evolution and provides a timeline consistent change capture stream. This talk describes the motivation and design principles involved in building Espresso, its architecture and presents a set of experimental results that characterize the performance of the system along various dimensions.

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