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Category: electronics – Page 103

Pulsed laser light turns whole-brain activity on and off

Optogenetic laser light stimulation of the thalamus (credit: Jia Liu et al./eLife)

By flashing high-frequency (40 to 100 pulses per second) optogenetic lasers at the brain’s thalamus, scientists were able to wake up sleeping rats and cause widespread brain activity. In contrast, flashing the laser at 10 pulses per second suppressed the activity of the brain’s sensory cortex and caused rats to enter a seizure-like state of unconsciousness.

“We hope to use this knowledge to develop better treatments for brain injuries and other neurological disorders,” said Jin Hyung Lee, Ph.D., assistant professor of neurology, neurosurgery, and bioengineering at Stanford University, and a senior author of the study, published in the open-access journal eLIFE.

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Nanodevices at one-hundredth the cost

Microelectromechanical systems—or MEMS—were a $12 billion business in 2014. But that market is dominated by just a handful of devices, such as the accelerometers that reorient the screens of most smartphones.

That’s because manufacturing MEMS has traditionally required sophisticated semiconductor fabrication facilities, which cost tens of millions of dollars to build. Potentially useful MEMS have languished in development because they don’t have markets large enough to justify the initial capital investment in production.

Two recent papers from researchers at MIT’s Microsystems Technologies Laboratories offer hope that that might change. In one, the researchers show that a MEMS-based gas sensor manufactured with a desktop device performs at least as well as commercial sensors built at conventional production facilities.

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When wearable electronics devices disappear into clothes

Here come the self drying jackets and self tying shoes! wink

The Athos Upper Body Package includes 14 built in sensors for real-time muscle and heart rate data. (credit: Athos)

Wearables will “disappear” in 2016, predicts New Enterprise Associates venture capital partner Rick Yang, cited in a Wednesday (Dec. 16) CNBC article — integrated “very directly into your everyday life, into your existing fashion sense to the extent that nobody knows you’re wearing a wearable,” he said.

For example, Athos makes smart workout clothes embedded with inconspicuous technology that tracks muscle groups, heart, and breathing rates, he noted.

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The Coming New Global Mind

Are we evolving into new species with hybrid thinking interlinked into the Global Mind? At what point will the Web may become self-aware? Or is it already? Once our neocortices are seamlessly connected to the Web, how will that feel like to step up one level above human consciousness to global consciousness?

In his book “The Global Brain” Howard Bloom argues that humans are a lot like neurons of the “global connectome”, and the coming Internet of Things (IoT) with trillions of sensors around the planet will become effectively the nervous system of Earth.

According to Gaia hypothesis by James Lovelock, we have always been an integral part of this “Meta-Mind”, collective consciousness, global adaptive and self-regulating system while tapping into vast resources of information pooling and at the same time having a “shared hallucination”, we call reality.

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Singaporean Professor Develops Energy-saving Algorithm

A researcher at Singapore’s Nanyang Technological University (NTU) has developed a new technology that provides real-time detection, analysis, and optimization data that could potentially save a company 10 percent on its energy bill and lessen its carbon footprint. The technology is an algorithm that primarily relies on data from ubiquitous devices to better analyze energy use. The software uses data from computers, servers, air conditioners, and industrial machinery to monitor temperature, data traffic and the computer processing workload. Data from these already-present appliances are then combined with the information from externally placed sensors that primarily monitor ambient temperature to analyze energy consumption and then provide a more efficient way to save energy and cost.

The energy-saving computer algorithm was developed by NTU’s Wen Yonggang, an assistant professor at the School of Computer Engineering’s Division of Networks & Distributed Systems. Wen specializes in machine-to-machine communication and computer networking, including looking at social media networks, cloud-computing platforms, and big data systems.

Most data centers consume huge amount of electrical power, leading to high levels of energy waste, according to Wen’s website. Part of his research involves finding ways to reduce energy waste and stabilize power systems by scaling energy levels temporally and spatially.

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Flexible Electronics Used to Make Smart, Temperature Responsive Drug Eluting Patch

At MIT, researchers have developed a stretchable bandage-like device capable of sensing skin temperature, delivering drugs transdermally, and containing electronics that include LED lights for displaying information. The various components of the system are designed to work together, for example the drug dispenser activating only when skin temperature is within a certain range and the LEDs lighting up when the drug reservoirs are running low. While this is only a prototype device, it certainly points toward future flexible devices that stay attached to a person’s skin, or even internally, for extended periods of time while providing health data and taking therapeutic actions in an intelligent way.

The device is based on a stretchable hydrogel matrix that reliably holds onto embedded metallic components linked by pliable wires. The hydrogel was made to have a stiffness similar to human soft tissues so that it blends well with the body when attached to it. When wires, drug reservoirs, delivery channels, and electronic components were built-in, the team tested the stretchiness of the final result showing that it maintains functionality even after repeated stress.

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The amazing camera that can see around corners (w/ video)

How can a person see around a blind corner? One answer is to develop X-ray vision. A more mundane approach is to use a mirror. But if neither are an option, a group of scientists led by Genevieve Gariepy have developed a state-of-the-art detector which, with some clever data processing techniques, can turn walls and floors into a “virtual mirror”, giving the power to locate and track moving objects out of direct line of sight.

The shiny surface of a mirror works by reflecting from an at a well-defined angle towards your eye. Because light scattered from different points on the object is reflected at the same angle, your eye sees a clear image of the object. In contrast, a non-reflective surface scatters light randomly in all directions, and creates no clear image.

However, as the researchers at Heriot-Watt University and the University of Edinburgh recognised, there is a way to tease out information on the object even from apparently random scattered light. Their method, published in Nature Photonics, relies on laser range-finding technology, which measures the distance to an object based on the time it takes a pulse of light to travel to the object, scatter, and travel back to a detector.

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