One Kind of Supersymmetry Shown to Emerge Naturally The UCSB Current While the Standard Model governing the ordinary world is not supersymmetric, it is often theorized that the more “fundamental” theory relevant to very hot systems, such as those...
In a mobile/cloud-centric health ecosystem, geography will no longer present an obstacle to deliver diagnosis or even treatment. The constraints of physical location will eventually mitigate the hard and high costs of maintaining hospital facilities.
When disease strikes in the developing world, like the current Ebola outbreak in Guinea, doctors, nurses and epidemiologists from international organizations fly in to help.
So do anthropologists.
Understanding local customs – and fears – can go a long way in getting communities to cooperate with international health care workers, says Barry Hewlett, a medical anthropologist at Washington State University.
Defense One Inside the Military's New Office for Cyborgs Defense One Today, health workers in Saudi Arabia are already using findings from DARPA's epidemiology-funded research to stay ahead of the Middle East respiratory syndrome coronavirus or...
We live in an era of accelerating change, when scientific and technological advancements are arriving rapidly. As a result, we are developing a new language to describe our civilization as it evolves. Here are 20 terms and concepts that you'll need to navigate our future.
In the last 15 years, the collective motion of large numbers of self-propelled objects has become an increasingly active area of research. The examples of such collective motion abound: flocks of birds, schools of fish, swarms of insects, herds of animals etc. Swarming of living creatures is believed to be critical for the population survival under harsh conditions. The ability of motile microorganisms to communicate and coordinate their motion leads to the remarkably complex self-organized structures found in bacterial biofilms. Active intracellular transport of biological molecules within the cytoskeleton has a profound effect on the cell cycle, signaling and motility. In recent years, significant progress has also been achieved in the design of synthetic self-propelled particles. Their collective motion has many advantages for performing specific robotic tasks, such as collective cargo delivery or harvesting the mechanical energy of chaotic motion.
In this focus issue we have tried to assemble papers from leading experts which we hope will provide a current snapshot of this young and rapidly expanding field of research. They cover both theoretical and experimental investigations of the dynamics of active matter on different spatial and temporal scales.
Focus on Swarming in Biological and Related Systems Lev Tsimring, Hugues Chate, Igor Aronson
Why nobody can tell whether the world's biggest quantum computer is a ... Quartz For the past several years, a Canadian company called D-Wave Systems has been selling what it says is the largest quantum computer ever built.
After receiving an implant that electrically stimulates the spinal cord, four paraplegic men can now voluntarily move their previously paralyzed legs. It's a breakthrough that's poised to revolutionize the treatment of paralysis.
The world of synthetic biology is coming to the world of wastewater treatment. Synthetic biology was a huge role to play in thinking of wastewater as a resource versus a waste.
Pilus Energy's genetically enhanced bacteria, also known as bacterial robots ("BactoBot(TM)"), that remediate water, harvest direct current ("DC") electricity, and produce economically important gases and chemicals. This technology was originally developed by Cincinnati-based Pilus Energy and University of Cincinnati microbiology professor Daniel Hassett.
There is a rapidly expanding literature on the application of complex networks in economics that focused mostly on stock markets. In this paper, we discuss an application of complex networks to study international business cycles.
We construct complex networks based on GDP data from two data sets on G7 and OECD economies. Besides the well-known correlation-based networks, we also use a specific tool for presenting causality in economics, the Granger causality. We consider different filtering methods to derive the stationary component of the GDP series for each of the countries in the samples. The networks were found to be sensitive to the detrending method. While the correlation networks provide information on comovement between the national economies, the Granger causality networks can better predict fluctuations in countries’ GDP. By using them, we can obtain directed networks allows us to determine the relative influence of different countries on the global economy network. The US appears as the key player for both the G7 and OECD samples.
We don't often think of them in these terms, but our brains, global financial markets and groups of friends are all examples of different kinds of complex networks or systems. And unlike the kind of system that exists in your car that has been intentionally engineered for humans to use, these systems are convoluted and not obvious how to control. Economic collapse, disease, and miserable dinner parties may result from a breakdown in such systems, which is why researchers have recently being putting so much energy into trying to discover how best to control these large and important systems.
But now two brothers, Profs. Justin and Derek Ruths, from Singapore University of Technology and Design and McGill University respectively, have suggested, in an article published in Science, that all complex systems, whether they are found in the body, in international finance, or in social situations, actually fall into just three basic categories, in terms of how they can be controlled.