By Steve Gorman LOS ANGELES (Reuters) — A brain-to-computer technology that can translate thoughts into leg movements has enabled a man paralyzed from the waist down by a spinal cord injury to become the first such patient to walk without the use of robotics, doctors in Southern California reported on Wednesday. The slow, halting first steps of the 28-year-old paraplegic were documented in a preliminary study published in the British-based Journal of NeuroEngineering and Rehabilitation, along with a YouTube video. The feat was accomplished using a system allowing the brain to bypass the injured spinal cord and instead send messages through a computer algorithm to electrodes placed around the patient’s knees to trigger controlled leg muscle movements.
Category: engineering – Page 240
Engineering Humans for War
Posted in computing, cyborgs, electronics, engineering, military
For decades after its inception in 1958, the Defense Advanced Research Projects Agency—DARPA, the central research and development organization of the Department of Defense—focused on developing vast weapons systems. Starting in 1990, and owing to individuals like Gorman, a new focus was put on soldiers, airmen, and sailors—on transforming humans for war. The progress of those efforts, to the extent it can be assessed through public information, hints at war’s future, and raises questions about whether military technology can be stopped, or should.
Gorman sketched out an early version of the thinking in a paper he wrote for DARPA after his retirement from the Army in 1985, in which he described an “integrated-powered exoskeleton” that could transform the weakling of the battlefield into a veritable super-soldier. The “SuperTroop” exoskeleton he proposed offered protection against chemical, biological, electromagnetic, and ballistic threats, including direct fire from a.50-caliber bullet. It “incorporated audio, visual, and haptic [touch] sensors,” Gorman explained, including thermal imaging for the eyes, sound suppression for the ears, and fiber optics from the head to the fingertips. Its interior would be climate-controlled, and each soldier would have his own physiological specifications embedded on a chip within his dog tags. “When a soldier donned his ST [SuperTroop] battledress,” Gorman wrote, “he would insert one dog-tag into a slot under the chest armor, thereby loading his personal program into the battle suit’s computer,” giving the 21st-century soldier an extraordinary ability to hear, see, move, shoot, and communicate.
Imagine a “smart pill” that can sense problems in your intestines and actively release the appropriate drugs. We have the biological understanding to create such a device, but we’re still searching for electronic materials (like batteries and circuits) that pose no risk if they get stuck in our bodies. In Trends in Biotechnology on September 21, Christopher Bettinger of Carnegie Mellon University presents a vision for creating safe, consumable electronics, such as those powered by the charged ions within our digestive tracts.
Edible electronic medical devices are not a new idea. Since the 1970s, researchers have been asking people to swallow prototypes that measure temperature and other biomarkers. Currently, there are ingestible cameras for gastrointestinal surgeries as well as sensors attached to medications used to study how drugs are broken down in the body.
“The primary risk is the intrinsic toxicity of these materials, for example, if the battery gets mechanically lodged in the gastrointestinal tract–but that’s a known risk. In fact, there is very little unknown risk in these kinds of devices,” says Bettinger, a professor in materials science and engineering. “The breakfast you ate this morning is only in your GI tract for about 20 hours–all you need is a battery that can do its job for 20 hours and then, if anything happens, it can just degrade away.”
DNA has garnered attention for its potential as a programmable material platform that could spawn entire new and revolutionary nanodevices in computer science, microscopy, biology, and more. Researchers have been working to master the ability to coax DNA molecules to self assemble into the precise shapes and sizes needed in order to fully realize these nanotechnology dreams.
For the last 20 years, scientists have tried to design large DNA crystals with precisely prescribed depth and complex features – a design quest just fulfilled by a team at Harvard’s Wyss Institute for Biologically Inspired Engineering. The team built 32 DNA crystals with precisely-defined depth and an assortment of sophisticated three-dimensional (3D) features, an advance reported in Nature Chemistry.
The team used their “DNA-brick self-assembly” method, which was first unveiled in a 2012 Science publication when they created more than 100 3D complex nanostructures about the size of viruses. The newly-achieved periodic crystal structures are more than 1000 times larger than those discrete DNA brick structures, sizing up closer to a speck of dust, which is actually quite large in the world of DNA nanotechnology.
http://www.engineeringbuddies.com/channels/innovative-ideas/
The Engineering Buddies Team
www.EngineeringBuddies.com
Beautiful Engineering
Posted in computing, engineering
1 Bit = Binary Digit.
8 Bits = 1 Byte.
1024 Bytes = 1 Kilobyte.
1024 Kilobytes = 1 Megabyte.
1024 Megabytes = 1 Gigabyte.
1024 Gigabytes = 1 Terabyte.
1024 Terabytes = 1 Petabyte.
1024 Petabytes = 1 Exabyte.
1024 Exabytes = 1 Zettabyte.
1024 Zettabytes = 1 Yottabyte.
1024 Yottabytes = 1 Brontobyte.
1024 Brontobytes = 1 Geopbyte.
1024 Geopbyte=1 Saganbyte.
1024 Saganbyte=1 Pijabyte.
Alphabyte = 1024 Pijabyte.
Kryatbyte = 1024 Alphabyte.
Amosbyte = 1024 Kryatbyte.
Pectrolbyte = 1024 Amosbyte.
Bolgerbyte = 1024 Pectrolbyte.
Sambobyte = 1024 Bolgerbyte.
Quesabyte = 1024 Sambobyte.
Kinsabyte = 1024 Quesabyte.
Rutherbyte = 1024 Kinsabyte.
Dubnibyte = 1024 Rutherbyte.
Seaborgbyte = 1024 Dubnibyte.
Bohrbyte = 1024 Seaborgbyte.
Hassiubyte = 1024 Bohrbyte.
Meitnerbyte = 1024 Hassiubyte.
Darmstadbyte = 1024 Meitnerbyte.
Roentbyte = 1024 Darmstadbyte.
Coperbyte = 1024 Roentbyte…!
More At:- Beautiful Engineering.
Fortunately, that is changing because researchers such as Qiaoqiang Gan, University at Buffalo assistant professor of electrical engineering, are helping develop a new generation of photovoltaic cells that produce more power and cost less to manufacture than what’s available today.
One of the more promising efforts, which Gan is working on, involves the use of plasmonic-enhanced organic photovoltaic materials. These devices don’t match traditional solar cells in terms of energy production but they are less expensive and — because they are made (or processed) in liquid form — can be applied to a greater variety of surfaces.
Gan detailed the progress of plasmonic-enhanced organic photovoltaic materials in the May 7 edition of the journal Advanced Materials. Co-authors include Filbert J. Bartoli, professor of electrical and computer engineering at Lehigh University, and Zakya Kafafi of the National Science Foundation.
Researchers at MIT and Boston Children’s Hospital have developed a system that can take MRI scans of a patient’s heart and, in a matter of hours, convert them into a tangible, physical model that surgeons can use to plan surgery.
The models could provide a more intuitive way for surgeons to assess and prepare for the anatomical idiosyncrasies of individual patients. “Our collaborators are convinced that this will make a difference,” says Polina Golland, a professor of electrical engineering and computer science at MIT, who led the project. “The phrase I heard is that ‘surgeons see with their hands,’ that the perception is in the touch.”
This fall, seven cardiac surgeons at Boston Children’s Hospital will participate in a study intended to evaluate the models’ usefulness.
Invisibility cloaks are a staple of science fiction and fantasy, from Star Trek to Harry Potter, but don’t exist in real life, or do they? Scientists at the U.S. Department of Energy (DOE)’s Lawrence Berkeley National Laboratory (Berkeley Lab) and the University of California (UC) Berkeley have devised an ultra-thin invisibility “skin” cloak that can conform to the shape of an object and conceal it from detection with visible light. Although this cloak is only microscopic in size, the principles behind the technology should enable it to be scaled-up to conceal macroscopic items as well.
Working with brick-like blocks of gold nanoantennas, the Berkeley researchers fashioned a “skin cloak” barely 80 nanometers in thickness, that was wrapped around a three-dimensional object about the size of a few biological cells and arbitrarily shaped with multiple bumps and dents. The surface of the skin cloak was meta-engineered to reroute reflected light waves so that the object was rendered invisible to optical detection when the cloak is activated.
“This is the first time a 3D object of arbitrary shape has been cloaked from visible light,” said Xiang Zhang, director of Berkeley Lab’s Materials Sciences Division and a world authority on metamaterials — artificial nanostructures engineered with electromagnetic properties not found in nature. “Our ultra-thin cloak now looks like a coat. It is easy to design and implement, and is potentially scalable for hiding macroscopic objects.”
Researchers at the University of Massachusetts Medical School are the first to show that it’s possible to reverse the behavior of an animal by flipping a switch in neuronal communication. The research, published in PLOS Biology, provides a new approach for studying the neural circuits that govern behavior and has important implications for how scientists think about neural connectomes.
New technologies have fueled the quest to map all the neural connections in the brain to understand how these networks processes information and control behavior. The human brain consists of 1011 neurons that make 1015 connections. The total length of neuronal processes in the human brain is approximately 4 million miles long, similar in length to the total number of roads in the U.S. Along these networks neurons communicate with each other through excitatory and inhibitory synapses that turn neurons on or off.
The neuronal roadmap, or connectome, however, doesn’t include information about the activity of neurons or the signals they transmit. How stable are these neural circuits in the brain? Does their wiring constrain the flow of information or the behaviors they control? The complexity of the human brain makes it almost impossible to address these questions.