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Livermore slashes 10 per cent of workforce |
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The Lawrence Livermore National Laboratory (LLNL) in the US has begun laying off around 10% of its 6500-strong workforce in preparation for "challenges" in the lab's 2014 budget, which will start on 1 October. The lab's redundancy offer gives workers one week of base salary for each year of continuous service, up to a maximum of 26 weeks. As of last Friday, 399 individuals had accepted the lay-off terms. If your woman accidentally has exposure to prescription drugs at a leaking capsule, wash areas with soap and water right away buy cialis professional online. CAMELOT enrolled patients with CAD recently documented by angiography, without left main heart disease and without heart failure or an ejection fraction < %Keep your tablet in its bubble pack unless you you will need to take it buy cialis overnight delivery. argaiv1969
Significant limitations
The Obama administration's budget request for 2014 includes about $1.48 bn for the LLNL – a sum that lab director Parney Albright told a Senate subcommittee last month "will significantly limit our ability to utilize the National Ignition Facility and undermine [our nuclear] stewardship programme". However, even this figure is uncertain, given the political disputes between the Democratic administration and the Republicans, who have a majority in the House of Representatives and a blocking minority in the Senate.
Albright adds that there are still a number of "unknowns" in the 2014 budget request. "It is clear the budget proposal will face an uphill battle in Congress this summer," he says. "It is our hope that implementing the [redundancy programme] now, rather than waiting for additional details on the 2014 budget, will put the laboratory in a better position to address whatever budget realities we'll face." According to lab spokesperson Lynda Seaver, "the voluntary redundancy is available to all employees, though some could be denied due to critical skills".
Budgeting woes
The lay-offs at LLNL follow more than 550 permanent employees having accepted severance packages last year from the Los Alamos National Laboratory when it faced a reduced budget and little prospect of increases. The LLNL itself offered voluntary redundancies in 2008 but, according to Seaver, did not get "the numbers we had hoped for". The lab then resorted to compulsory redundancies, which some employees challenged in the courts. Indeed, in late May five lab staff were awarded more than $2.7m when a local jury found that the LLNL had violated a contractual promise that it would lay the workers off only for a "reasonable cause". The LLNL will reconsider its response to the impending financial situation – which could still include forced redundancies – as soon as it knows its final budget for 2014.
Meanwhile, further budget woes are threatening the Massachusetts Institute of Technology's Alcator C-Mod fusion project, which faces closure within a year as the US government moves fusion funds from home-grown projects to international collaborations such as ITER. The administration's proposed 2014 budget includes no funding for C-Mod and its shutdown would lead to 70 staff losing their jobs, leaving only two fusion experiments in the US. The Massachusetts Congressional delegation has called for restoration of funds for the programme, which produces more PhDs in fusion and plasma physics than at any other US institution.

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Graphene circuit breaks the gigahertz barrier |
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Researchers in the US and Italy have made the first integrated graphene digital circuits that function at gigahertz frequencies. The circuits are ring oscillators and the work could be an important step towards realizing all-graphene microwave circuits, says the team.
Graphene is a 2D sheet of carbon just one atom thick and it – along with similar 2D materials such as carbon nanotubes and molybdenite – shows great promise for future electronics. This is because electronic devices smaller than 10 nm could be made using these 2D materials – at least in principle. Below the 10 nm length scale, devices based on conventional silicon are expected to be too small to function properly and therefore graphene and similar materials offer a route to making ever-smaller electronic devices.
One major challenge facing those developing such 2D devices is speed. Modern silicon processors operate at microwave (gigahertz) frequencies, as do communications chips in devices such as mobile phones. Therefore, any practical 2D device would have to run just as fast. Until now, however, the fastest 2D device – a carbon-nanotube ring oscillator – operates at a lethargic 50 MHz.
Now, a team led by Roman Sordan of the Politecnico di Milano and Eric Pop of the University of Illinois says it has made the first integrated graphene oscillators – with the added bonus that the devices operate at 1.28 GHz. The graphene ring oscillators also appear to be less sensitive to fluctuations in the supply voltage compared with both conventional silicon CMOS devices and earlier oscillators made from the 2D materials.
Final "missing" component
In addition to being used to generate clock pulses in microprocessors, oscillators are also one of the main building blocks of analogue electronics. Microwave electronics, for example, are based on voltage amplifiers, oscillators and mixers. "Graphene amplifiers and mixers have already been demonstrated, so the oscillators we made represent the final 'missing' component for making all-graphene microwave circuits," Sordan says.
And that is not all. The team has also fabricated stand-alone graphene frequency mixers from its ring oscillators. Previous graphene mixers were not stand-alone because they required external oscillators to function.
"We believe that our study significantly advances research in low-dimensional nanomaterials towards practical, high-speed digital and analogue applications, and we hope that it will motivate significant future work in this direction," says Sordan.
The research is reported in ACS Nano.

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Grammar May Be Hidden in Toddler Babble |
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Patterns of subtle sounds and pauses may reveal a skeleton of grammar in toddler-speak. CREDIT: ewcastle University
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The little sounds and puffs of air that toddlers often inject into their baby babble may actually be subtle stand-ins for grammatical words, new research suggests.
For their study, Cristina Dye, a Newcastle University researcher in child language development, made recordings of tens of thousands of utterances of French-speaking children between 23 and 37 months old.
Dye and her colleagues analyzed each sound the kids made and the context in which it was produced. The team said they documented a pattern of sounds and puffs of air that seemed to replace grammatical words in many cases. Their findings suggest that toddlers may properly use little words (as a, an, can, is, an) sooner than thought.
"Many of the toddlers we studied made a small sound, a soft breath, or a pause, at exactly the place that a grammatical word would normally be uttered," Dye said in a statement.
"The fact that this sound was always produced in the correct place in the sentence leads us to believe that young children are knowledgeable of grammatical words. They are far more sophisticated in their grammatical competence than we ever understood."
Though Dye was studying French-speaking toddlers, she and her colleagues expect their findings to apply to other languages as well. She also thinks their results could have implications for understanding language delay in children.
"When children don't learn to speak normally it can lead to serious issues later in life," Dye said in a statement. "For example, those who have it are more likely to suffer from mental illness or be unemployed later in life. If we can understand what is 'normal' as early as possible then we can intervene sooner to help those children."
Previous research has shown that toddlers, before they articulate full sentences themselves, may be able to understand complex grammar. A 2011 study in the journal Cognitive Science found that as early as 21 months, children could match made-up verbs with a picture that made sense grammatically. For example, if they were told "The rabbit is glorping the duck," they would point to a picture of a rabbit lifting a duck's leg rather than the duck lifting its leg on its own.
The new research on the French-speaking toddlers was detailed in the Journal of Linguistics.
Follow Megan Gannon on Twitter and Google+. Follow us @livescience, Facebook & Google+. Original article on LiveScience.com.
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The Singularity Is Near: Mind Uploading by 2045? |
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Some futurists predict humans will be able to upload their consciousness to computers in the near future. CREDIT: BrainGate 2, www.braingate2.org
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NEW YORK — By 2045, humans will achieve digital immortality by uploading their minds to computers — or at least that's what some futurists believe. This notion formed the basis for the Global Futures 2045 International Congress, a futuristic conference held here June 14-15.
The conference, which is the brainchild of Russian multimillionaire Dmitry Itskov, fell somewhere between hardcore science and science fiction. It featured a diverse cast of speakers, from scientific luminaries like Ray Kurzweil, Peter Diamandis and Marvin Minsky, to Swamis and other spiritual leaders.
In the year 2045
Kurzweil — an inventor, futurist and now director of engineering at Google — predicts that by 2045, technology will have surpassed human brainpower to create a kind of superintelligence — an event known as the singularity. Other scientists have said that robots will overtake humans by 2100. [Super-Intelligent Machines: 7 Robotic Futures]
According to Moore's law, computing power doubles approximately every two years. Several technologies are undergoing similar exponential advances, from genetic sequencing to 3D printing, Kurzweil told conference attendees. He illustrated the point with a series of graphs showing the inexorable upward climb of various technologies.
By 2045, "based on conservative estimates of the amount of computation you need to functionally simulate a human brain, we'll be able to expand the scope of our intelligence a billion-fold," Kurzweil said.
Itskov and other so-called "transhumanists" interpret this impending singularity as digital immortality. Specifically, they believe that in a few decades, humans will be able to upload their minds to a computer, transcending the need for a biological body. The idea sounds like sci-fi, and it is — at least for now. The reality, however, is that neural engineering is making significant strides toward modeling the brain and developing technologies to restore or replace some of its biological functions.
Brain prostheses
Substantial achievements have been made in the field of brain-computer interfaces, or BCIs (also called brain-machine interfaces). The cochlear implant — in which the brain's cochlear nerve is electronically stimulated to restore a sense of sound to someone who is hard of hearing — was the first true BCI. Many groups are now developing BCIs to restore motor skills, following damage to the nervous system from a stroke or spinal cord injury.
José Carmena and Michel Maharbiz, electrical engineers at the University of California, Berkeley, are working to develop state-of-the-art motor BCIs. These devices consist of pill-size electrode arrays that record neural signals from the brain's motor areas, which are then decoded by a computer and used to control a computer cursor or prosthetic limb (such as a robotic arm). Carmena and Maharbiz spoke of the challenge of making a BCI that works stably over time and does not require being tethered to wires.
Theodore Berger, a neural engineer at the University of Southern California in Los Angeles, is taking BCIs to a new level by developing a memory prosthesis. Berger aims to replace part of the brain's hippocampus, the region that converts short-term memories into long-term ones, with a BCI. The device records the electrical activity that encodes a simple short-term memory (such as pushing a button) and converts it to a digital signal. That signal is passed into a computer where it is mathematically transformed and then fed back into the brain, where it gets sealed in as a long-term memory. He has successfully tested the device in rats and monkeys, and is now working with human patients. [Bionic Humans: Top 10 Technologies]
Mind uploading
The conference took a surreal turn when Martine Rothblatt — a lawyer, author and entrepreneur, and CEO of biotech company United Therapeutics Corp. — took the stage. Even the title of Rothblatt's talk was provocative: "The Purpose of Biotechnology is the End of Death."
Rothblatt introduced the concept of "mindclones" — digital versions of humans that can live forever. She described how the mind clones are created from a "mindfile," a sort of online repository of our personalities, which she argued humans already have (in the form of Facebook, for example). This mindfile would be run on "mindware," a kind of software for consciousness. "The first company that develops mindware will have [as much success as] a thousand Googles," Rothblatt said.
But would such a mindclone be alive? Rothblatt thinks so. She cited one definition of life as a self-replicating code that maintains itself against disorder. Some critics have shunned what Rothblatt called "spooky Cartesian dualism," arguing that the mind must be embedded in biology. On the contrary, software and hardware are as good as wet ware, or biological materials, she argued.
Rothblatt went on to discuss the implications of creating mindclones. Continuity of the self is one issue, because your persona would no longer inhabit just a biological body. Then, there are mind-clone civil rights, which would be the "cause célèbre" for the 21st century, Rothblatt said. Even mindclone procreation and reanimation after death were mentioned.
The quantum world
In parallel with the talk of brain technologies and mind-uploading, much was said about the nature of consciousness in the universe. Physicist Roger Penrose of the University of Oxford and others disagree with the interpretation of the brain as a mere computer. Penrose argued that consciousness is a quantum mechanical phenomenon arising from the fabric of the universe. Those of the "Penrose school" think uploading the brain would have to involve quantum computers — a development unlikely to happen by 2045.
But Itskov thinks otherwise. The 32-year-old president of the Global Future 2045 Congress is dead set on living forever.
Follow Tanya Lewis on Twitter and Google+. Follow us @livescience, Facebook & Google+. Original article on LiveScience.com.
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Diet High in Red Meat Linked to Higher Diabetes Risk |
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People who increase the amount of red meat in their diet may be at a higher risk of developing type 2 diabetes, according to a new study of more than 149,000 Americans.
The study researchers found that people who increased their red-meat intake by half a serving per day during a four-year period had a 48-percent higher risk of developing type 2 diabetes in the next four years compared with people who made no change in their red-meat intake.
Conversely, participants who reduced their red-meat consumption by more than half a serving per day within four years were 14 percent less likely to develop type 2 diabetes during the subsequent 16 years compared with those who didn't make a red-meat diet change.
Red-meat consumption has been repeatedly linked to a higher risk of type 2 diabetes. Red meat has also been associated with higher risks of cancer and heart disease.
However, most previous studies that focused on the relationship between diabetes risk and red-meat intake measured the people's diets only at the beginning of the study, without considering changes in people's eating behaviors over time. [12 Tips for Eating Healthy on a Budget]
In the new study, the researchers measured the diets of 149,000 men and women at the start of the study and then four years later to record how much and how frequently they ate unprocessed red meat and processed products such as bacon and sausage, and whether their intake changed.
Sixteen years later, at the end of the study, the researchers had documented 7,540 new cases of type 2 diabetes. Compared with stable low-level consumers who ate fewer than two servings of red meat per week, people who increased their intake from low to high levels had an almost twofold increase in their risk of diabetes.
Participants who upped their meat consumption from moderate to high levels increased their type 2 diabetes risk from 37 percent to 87 percent, according to the study.
"Our results add further evidence that limiting red-meat consumption over time confers benefits for [type 2 diabetes] prevention," the researchers wrote in their study, which was published today (June 17) in the Journal of the American Medical Association.
Adjusting the results for body mass index and weight gain within four years changed the results only modestly, which suggests that gaining weight as a result of higher red-meat consumption may explain part of the results.
About 25.6 million U.S. adults have diabetes, the majority of which is type 2, according to the Centers for Disease Control and Prevention. The United States is one of largest consumers of meat (including poultry); Americans ate an average of 170 lbs. (77 kilograms) of meat per person in 2011, according to the Earth Policy Institute.
Email Bahar Gholipour or follow her @alterwired. Follow LiveScience @livescience, Facebook & Google+. Original article on LiveScience.com.
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High-Fat Diet May Increase Alzheimer's Risk |
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CREDIT: Tom Denham.
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Diets high in fat and sugar may increase the risk of Alzheimer's disease, and a new study may explain why.
In the study, participants who ate a diet high in saturated fat (including lots of beef and bacon) and "high glycemic index" foods (such as white rice and white bread) had an increase in levels of a protein called amyloid-beta in their cerebral spinal fluid. Amyloid-beta is a key component of the brain plaquesthat are a hallmark of Alzheimer's. High glycemic index foods release sugar quickly into the bloodstream.
In contrast, participants who ate a diet low in saturated fat (including fish and chicken) and low in high glycemic index foods (such as whole grains) had a decrease in amyloid-beta in their cerebral spinal fluid.
While previous studies have found that poor diet, obesity and diabetes are linked with an increased risk of Alzheimer's disease, the new study is one of the first to try to explain why, on a biological level, this might occur.
"Diet is a very important factor in determining brain health," said study researcher Suzanne Craft, a professor of medicine at Wake Forest University School of Medicine in Winston-Salem, N.C. "The types of food we eat, particular dietary patterns that happen over long periods of time, are likely to have a substantial impact on our brains to the point where they may either protect or increase your risk of developing late-life brain disease like Alzheimer's disease," Craft said.
However, the study was small and examined the effect of diet over a very short time period — just one month. More research is needed to know whether the increase in amyloid-beta seen in this study would really result in Alzheimer's disease.
In addition, it's not clear if changing their diet would be helpful for people who already have a genetic risk for Alzheimer's.
Brain health and diet
Amyloid-beta normally gets cleared from the brain, and problems with this process may increase the risk of Alzheimer's disease, Craft said.
One of the ways amyloid-beta is cleared is when it attaches to a protein called apolipoprotein E. When amyloid-beta is not attached to apolipoprotein E, it is in a "lipid-depleted" (LD) form that is less stable, and more likely to be toxic to the brain, Craft said.
The new study involved 47 adults in their late 60s, about half of whom had mild cognitive impairment, a condition in which people experience noticeable declines in their cognitive function, including memory and language problems.
Participants were randomly assigned to follow a high-fat, high glycemic index diet or a low-fat, low glycemic index for four weeks. Both groups ate the same number of total calories. Samples of cerebral spinal fluid were collected at the beginning and end of the study through a lumbar puncture.
Before participants started the diet, those with mild cognitive impairment had higher levels of LD amyloid-beta compared to those with normal cognition. Levels of LD amyloid-beta were particularly high among adults with mild cognitive impairment who also had a genetic risk factor for Alzheimer's (a mutation in a gene called ApoE4.)
After four weeks, those on the high-fat diet saw an increase in LD amyloid-beta levels, while those on the low-fat diet saw a decrease in LD amyloid-beta.
However, those with the ApoE4 mutation, who already had high levels of amyloid beta, did not get any better or worse when on either diet.
"It may be that the diet actually produces the same problem that the genetic risk factor produces," Craft said.
Good for the heart and brain?
A high fat, high glycemic index diet, known to be bad for heart health, can lower levels of the hormone insulin in the brain. Insulin may be involved in the clearance of amyloid-beta from the brain, and thus play a role in Alzheimer's disease, Craft said.
In addition, high levels of "bad" cholesterol in the blood tend to be linked with low levels of in the brain, Craft said.
From this study, it's not clear whether changes in diet would eventually lead to less brain decay and better cognition, Dr. Deborah Blacker, of Massachusetts General Hospital, wrote in an editorial accompanying the study.
Still, the study "adds another small piece to the growing evidence that taking good care of your heart is probably good for your brain too," Blacker, who was not involved in the study, said.
The study is published today (June 17) in the journal JAMA Neurology.
Follow Rachael Rettner @RachaelRettner. Follow LiveScience @livescience, Facebook & Google+. Original article on LiveScience.com.
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Atomic Number: 54 Atomic Symbol: Xe Atomic Weight: 131.293 |
Melting Point: -169.22 F (-111.79 C) Boiling Point: -162.62 F (-108.12 C) |
Word origin: Xenon comes from the Greek term for stranger.
Discovery: The element was discovered by Scottish chemist William Ramsay and English chemist Morris Travers in 1898.
Properties of xenon
Xenon is one of the inert or noble gases. It’s odorless, colorless, tasteless and chemically non-reactive. [See Periodic Table of the Elements]
Prior to 1962, scientists believed that xenon and other noble gases were unable to form compounds. However, evidence shows that xenon can form some compounds including sodium perxenate, xenon deuterate, xenon hydrate, difluoride, tetrafluoride and hexafluoride. Scientists have also produced metallic xenon using several hundred kilobars of pressure. Highly explosive xenon trioxide is another compound that has been prepared. By chemically bonding xenon to fluorine and oxygen, more than 80 compounds have been made. Natural xenon has nine stable isotopes and 20 unstable isotopes. In a gas-filled tube, xenon emits blue or light lavender glow when excited by electrical discharge.
Xenon is a very rare gas. This is a 5-cm vial of glowing ultrapure xenon. CREDIT: Images of elements
Sources of xenon
Xenon is rare and exists as a trace gas in Earth’s atmosphere to the extent of about one part in 20 million. This is about the same abundance as on Mars' atmosphere where Xenon is present at 0.08 ppm. The element is also found in gases emitted from some mineral springs. Xenon is only commercially obtained by industrial liquid-air plants that can extract the gas.
Uses of xenon
Xenon is used in photographic flash lamps, stroboscopic lamps, bactericidal lamps, high-intensive arc-lamps for motion picture projection and high-pressure arc lamps to product ultraviolet light. In nuclear energy, xenon is used in bubble chambers, probes and other applications. Headlights with xenon "blue" and fog lights are used on some vehicles and in very bright lamps used for deep-sea observation. These are said to illuminate better than conventional lights.
(Source: Los Alamos National Laboratory)
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Fish Diseases Threaten Food Supply In Warm Climates |
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CREDIT: Genista via Flickr
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(ISNS) -- A rise in fish farms has meant cheap, fast-growing protein to feed the world's growing human population. But a new study suggests that countries located at lower latitudes – many of which rely heavily on fish farming – may be most at risk for fish disease outbreaks. The tropical environments in countries near the equator are ripe for breeding waterborne pathogens.
Aquaculture, the technical term for the farming of aquatic plants and animals, is the fastest-growing agricultural industry in the world. The term refers to farming in all sorts of water environments, including ponds, rivers, lakes and controlled areas in the ocean. According to the Food and Agriculture Organization of the United Nations, more than 90 percent of these fish farms are located in developing countries, which often have warm, tropical environments, conducive to raising fish year-round.
A study published earlier this year in the Journal of Applied Ecology, however, shows that operations near the equator are also more prone to dangerous and rapid disease outbreaks that could wipe out entire stocks of fish.
Tommy Leung, a lecturer in parasitology and evolutionary biology at the University of New England in Armidale, Australia, and his colleague Amanda Bates at the University of Tasmania, reviewed 114 previously published reports on disease outbreaks at fish farms from Norway to South America.
The implications of these findings for developing countries, many of which are located near the equator, could be dire.
"A lot of these countries are really dependent on aquaculture as a way to have a secure food source, so it provides them with food security, as well as a way of supporting their economy," said Leung.
In their analysis, Leung's team considered the geographical location of the fish farm outbreaks, the severity of the outbreaks, the type of fish or shellfish involved, and the type of farm -- fresh or saltwater, and how the farms were separated from the surrounding waters. They also considered the types of pathogens that caused disease, generally viruses, bacteria or parasites.
Diseases ranged from skin flukes, which make fish scales appear discolored and peel off, to salmon anemia, a viral disease thought to be carried by sea lice.
The findings showed that the closer the fish farms were to the equator, the more likely they were to have an outbreak and the more severe the outbreaks were compared to fish farms located farther away from the equator. Young fish and shellfish were particularly susceptible to the deadly outbreaks. Leung said, on average, disease outbreaks in tropical areas wipe out 88 percent of the fish in any given stock. This is mainly because diseases tend to breed and spread faster in the warmer waters of the tropics.
In addition, disease is difficult to contain in water. "Unlike on a dairy farm where if you have a sick calf you can put them aside to quarantine them, it's much harder to quarantine in an aquatic environment," said Leung.
According to Jeffrey Lotz, an aquaculture specialist at the University of Southern Mississippi in Ocean Springs, Miss., diseases will always threaten aquaculture. "Certainly there have been more problems in the tropics but there are disease problems in the [higher] latitudes as well," he explained.
Lotz said he’s worried about the implications for imports. According to the National Oceanic and Atmospheric Administration the U.S. imports 85 percent of its seafood, more than half of which is from aquaculture operations rather than wild-caught.
While imported pork, beef and chicken are subject to inspections by the Food and Drug Administration, fish imports don't face the same scrutiny. According to Lotz, the less stringent inspection regulations could allow diseased fish imported from tropical countries onto grocery store shelves in the U.S., potentially posing a threat to public health.
Both Leung and Lotz are concerned about the implications for the future, saying global warming could result in rising temperatures and thus, a rise in the incidence of fish disease across the globe. Lotz said some of the tropical diseases will likely move farther from the equator and the overall prevalence of fish disease will increase, impacting both supply and food safety.
This story was provided by Inside Science News Service. Tegan Wendland is a science writer in Madison, Wisconsin.
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How Amelia Earhart Flew Across The Atlantic 85 Years Ago Today |
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From the Popular Science archive, the story of Amelia Earhart's historic journey on June 17, 1928.
"First Woman Flies Overseas," republished in full below, originally appeared in the September 1928 issue of Popular Science magazine. On June 17, 1928, 30-year-old Amelia Earhart became the first woman to cross the Atlantic Ocean in an airplane.
"The flight of the Friendship is intended to point the road toward the seaplane instead of the land plane as a means of flying across oceans, and multiple-engined planes instead of single-engined. It will help toward more comfortable flying; when women demand planes not only comfortable, but luxurious, men will build them."
Those statements of Miss Amelia Earhart, the first woman to fly across the Atlantic, expressed the true importance of her recent flight, with Wilmer Stultz, pilot, and Lou Gordon, co-pilot, from Trepassey Bay, Newfoundland, to Burry Port, Wales. In less than twenty-two hours they flew 2,000 miles, much of the way through fog.
 Amelia Earhart by her Lockheed Electra, with Fred Noonan: Parnamerim airfield, Natal, Brazil. via Wikimedia Commons
Their machine was a three-motored Fokker seaplane, originally designed for Commander Richard E. Byrd's Antarctic expedition. It was the first crossing in a plane equipped with pontoons, on which to float if forced down.
Daring a journey which already had cost the lives of three women, Miss Earhart had planned herself to handle the controls, but fog, and the consequent necessity of flying by instruments alone, prevented that added glory.
 Amelia Earhart standing in front of the Lockheed Electra in which she disappeared in July 1937: Smithsonian Institution via Wikimedia Commons
Click here to see this article as it appeared in the September 1928 issue of Popular Science.

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Magnetic Graphene Clouds Can Be Made To Appear And Disappear |
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Toggling graphene's magnetic field on and off could lead to faster, smaller electronics.
 Magnetic Graphene University of Manchester
Add another point to the list of reasons why graphene, the darling child of material physics, is a wunderkind. A team led by researchers at the University of Manchester has succeeded in turning magnetism on and off in graphene, an important step for the field of spintronics, the study of the way electrons spin in solid-state physics.
Spintronic memory has great theoretical potential to make computers faster and more efficient, but scientists have struggled to switch magnetic fields on and off the way electronic transistors do.
As announced in Nature Communications last week, we might come a little closer to spintronic transistors with graphene. When carbon atoms in graphene's honeycomb-like structure are removed, electrons around the resulting holes form clouds that act like microscopic magnets. The researchers found the electronic clouds could be dissipated and condensed again, switching off the magnetism.
Irina Grigorieva, who directed the study, explained the achievement in a press statement:
This breakthrough allows us to work towards transistor-like devices in which information is written down by switching graphene between its magnetic and non-magnetic states. These states can be read out either in the conventional manner by pushing an electric current through or, even better, by using a spin flow. Such transistors have been a holy grail of spintronics.
Another co-author, Antonio Castro Neto of the Graphene Research Centre in Singapore, added that this could lead to a new type of magnetic device that would be as thin as a single carbon atom. "These new devices can be incorporate [sic] in electronic circuits in order to create functionalities for control of magnetism and charge that did not exist before. They unify magnetic memories with electric circuits," he said in the statement.

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What Mice Do When You're Not Looking |
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24/7 trackers give researchers insight into how mice mate, form social hierarchies, and more. Behold the rodent equivalent of 'Big Brother.'
Turns out Americans aren't the only ones getting spied on lately. By hooking up groups of mice with precise trackers, researchers have gotten a closer look at how societies form. At least in mice, the answer is: fast.
Weizmann Institute scientists introduced mice fitted with tracking chips into a square, 4-meter pen lined with video cameras. The scientists recorded the mice's movements 30 times a second for up to months at a time. (It's fun to imagine there were little mouse-propaganda posters advertising the Ministry of Truth or something, but alas, probably not.)
The researchers, unsurprisingly, gathered a lot of data from the voyeurism: they learned when the mice ate and drank, when they slept or fought, and more. Eventually, the team could determine whether each mouse was an introvert or extrovert, and could even predict, with more than 90 percent accuracy, how the mice would mate.
Here's the really intriguing part: With varied personality types inside the pen, the mice eventually bowed down to a dominant mouse in just 24 hours. By that point, they'd even developed a class system based on personality type. That was done with a group of "normal" mice. By including mice genetically inclined toward shyness, the researchers got a very different result: the mice didn't pick a leader, and when they did, the leader was quickly overthrown.
Why is this sort of experiment significant? Because it's not simple to track an animal society (or a human society) with such granular detail. This experiment shows it's possible, at least for small animals running around a small space.
The study was published in the journal Nature Communications.

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The Difference Between A Geek And A Nerd [Infographic] |
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They're not the same. A data-geek (or nerd?) explains.
Are you a geek or a nerd? Because they're not quite the same. (It's okay to admit which one you are, by the way! Popular Science is a safe place.)
Burr Settles at SlackPropagation broke down the difference by using data. The methodology here is a little on the nerdy side (or is it geeky side???) but, more or less, Settles mined Twitter for the words most likely to appear near "geeky" or "nerdy." The higher along the y axis, the geekier the words; the farther along the x axis, the nerdier.
Academic words show up frequently on the nerdy side of the graph: "Harvard," "#studymode," "biochemistry." (Also, inexplicably, "goths.") On the geeky side, it's more about tangible objects: "iPod," [Joss] Whedon," #appletv." Star Wars falls on the geeky side, but only barely, because, hey, everybody likes Star Wars.
So what did we learn? Settles writes:
In broad strokes, it seems to me that geeky words are more about stuff (e.g., “#stuff”), while nerdy words are more about ideas (e.g., “hypothesis”). Geeks are fans, and fans collect stuff; nerds are practitioners, and practitioners play with ideas. Of course, geeks can collect ideas and nerds play with stuff, too. Plus, they aren’t two distinct personalities as much as different aspects of personality. Generally, the data seem to affirm my thinking.
An awesomely nerdy project. Although "infographic" does fall onto the geeky side of the spectrum.
[SlackPropagation via FlowingData]

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Aww: Watch A Robotic Cheetah-Cub Run |
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The cheetah-cub is the fastest quadruped under about 66 lbs.
A mechanical cheetah cub joins the Noah’s Ark that has captivated robotics in recent years. Today Ecole Polytechnique Federale De Lausanne (EPFL)'s Biorobotics Laboratory (Biorob) published a study detailing experiments on the cheetah-cub quadruped robot. The size of a small house cat (or cheetah cub, which sounds more menacing), this bot has limbs designed to mimic the stealthy moves of a feline.
The goal for the cheetah-cub was to create an easy-to control platform, with a focus on locomotion--the rhythm and mechanics of how it moves. The legs were designed to be fast and stable, which work well for tough terrain and research missions. Modeled after mammalian animals' three-segment legs, the cheetah-cub has springs embedded within its agile legs. The springs act as tendons, and small motors called actuators are the robot's muscles, converting energy into movement.
 Cheetah-cub: Courtesy of EPFL
Developing gaits for legged-robots can be difficult, so to control locomotion in the cheetah-cub, researchers used central pattern generators, or CPGs. These are inspired by biology, as they are found in many animals' spinal cords, where they create rhythmic patterns of neural activity. Researchers can encode these CPGs to implement specific parameters, such as hip angle. Another important parameter for developing the gait is the amount of time the leg has contact with the ground.
For this study, researchers focused on the trot gait. The cheetah-cub, which weighs about 2.2 pounds can move at a speed that's equal to almost seven body lengths per second (or 3.2 mph). This makes it the fastest quadruped under about 66 lbs.
 Cheetah-cub is the fastest quadruped under about 66 lbs. : Courtesy of EPFL
But it isn't all about copying nature. Researcher on the study, Alexander Spröwitz, studies biomechanics and sees the cheetah-cub as an important part of understanding and exploring how animals move--for example, how certain patterns are generated, or what type of torque is present in an animal's joints.
"Biologists cannot directly observe [biomechanics in animals] because you cannot cut into the leg of a living animal without harming it," Spröwitz says. "It's possible to recreate it with a robot, and then you can actually change the conditions--the length of the leg or segmentation--you basically can test different scenarios, which you cannot do on an animal."
In the future, researchers hope that this swift, self-stabilizing platform will prove useful for creating a team of rescue bots that can effectively work in rough, diverse terrain after catastrophes, where rescue bots with wheels or treads struggle or get stuck.
The study was published in the International Journal of Robotics Research.
 How the cheetah-cub works: Courtesy of EPFL

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File Under: Science |
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Let This Robot Teach You How To Be Less Awkward |
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MIT builds a virtual person to help people practice talking to other people, which already sounds like an awkward situation.
If you think you're awkward in social situations, and would like the solution to that problem to be as awkward possible, try this: have a robot coach you on how to interact with human beings.
The software/robocoach is called MACH (My Automated Conversation coacH). Besides a digital face, the MIT-developed MACH has speech- and face-recognition tools, allowing it to pick up on behavior, then advise people on how to correct awkward behavior. A camera, for example, logs how much a person smiles and maintains eye contact, while a microphone picks up on how clearly the person speaks or says "umm." After monitoring the person for a while, MACH gives feedback. (Being watched like that sounds very awkwardness-inducing.)
For a test run, the inventors took MIT students and had them do a fake job interview. The researchers then broke the students up into three groups: one got no training from MACH, but watched videos with advice on job interviews; one met with MACH, but didn't get any feedback; and one got the full feedback from MACH. A week later, all three groups went in for another simulated interview, and the students who got help from MACH, the researchers reported, did better, as rated by the people they interviewed with. The other groups didn't appear to change much.
MACH is designed to run on an ordinary laptop, so anyone who needs it will eventually be able to use it. But it might be a while before the program is released generally, so just keep talking in front of the mirror to prep for that big date.

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Echoes create an interior map app |
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To record size and shape of a room, researchers use a speaker, five microphones and some math
To record size and shape of a room, researchers use a speaker, five microphones and some math
By Andrew Grant
Web edition: June 17, 2013
Determining a room’s dimensions no longer requires a tape measure. An algorithm that sorts through echoes to develop accurate maps of a room, detailed June 17 in the Proceedings of the National Academy of Sciences, may lead to better sound quality for teleconferences and online gaming.
Previous experimental setups of acoustic maps have always involved a speaker that emits a sound and multiple microphones that record the sound. Ideally, each microphone detects sound waves that bounce off a single wall. Then researchers can use the time the sound was recorded and the direction it came from to calculate the position of each wall and reconstruct the room.
But in practice tracking sound is messy, because most echoes take convoluted paths. They may have bounced off multiple walls and the floor before reaching the microphone.
The challenge, says computer scientist Ivan Dokmanić of the Swiss Federal Institute of Technology in Lausanne, was to create an algorithm that could sift through the microphone detections and pull out the speaker-wall-microphone paths.
Using a geometric technique known as Euclidean distance matrices, Dokmanić’s team is able to group the one-bounce echoes that all come off the same wall. Then their algorithm uses the times and directions of the echoes to determine the location of the walls and ceiling.
The team tested its approach using a speaker and five omnidirectional microphones, each of which could be placed anywhere in the room. The algorithm accurately determined the dimensions of a trapezoid-shaped classroom to within centimeters. It also estimated the dimensions of an oddly shaped room in the Lausanne cathedral.
Dokmanić hopes next to make maps with fewer microphones, while also exploring whether adding more microphones could enable mapping not only oddly shaped rooms but the furniture inside. His big goal is to refine the technique to the point that people could map a room with their phones.
Flavio Ribeiro, an electrical engineer at Microsoft in Redmond, Wash., highlighted the technique’s implications for speakerphone teleconferencing, which is plagued by echoes and stray sounds. He envisions software that could use the microphone array built into game consoles such as Microsoft’s Xbox Kinect to map the room a user is in and then use that information to minimize echoes.

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Section: Articles -
File Under: Science |
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Oysters may struggle to build shells as carbon dioxide rises |
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Ocean acidification could hamper larvae's growth
By Erin Wayman
Web edition: June 17, 2013
Enlarge
As oceans soak up more carbon dioxide, oyster larvae may have trouble getting enough energy to build their shells, finds a new study of Pacific oysters (shown).
Credit: Taylor Shellfish Farm, NOAA
The changing chemistry of ocean waters may cause baby oysters to have trouble mustering the energy to build their shells, new research suggests.
Oysters, clams, mussels and other bivalves build calcium carbonate shells using mostly raw materials from seawater. A two-day-old oyster larva is already 90 percent calcium carbonate by body weight, ecologist George Waldbusser of Oregon State University in Corvallis and colleagues report May 29 in Geophysical Research Letters.
During their shell-building blitz, larvae rely solely on energy derived from their eggs, the team found in a study of Pacific oysters (Crassostrea gigas) from a commercial hatchery in Oregon. By looking at the forms of carbon present in eggs versus algae provided as oyster food, the researchers found that larvae depend heavily on an egg’s resources for more than a week. The youngsters can’t grab outside food until they construct enough shell to support muscle attachments for feeding appendages, Waldbusser says.
Enlarge
As oceans soak up more CO2, young oysters (embryo shown) may have trouble building their shells.
Credit: OSU
Oyster larvae’s dependence on a fixed energy source could be a problem as atmospheric carbon dioxide rises. Oceans soak up more of the gas, driving reactions that lower the water’s pH and alter the availability of the compounds needed to make shells. Waldbusser and colleagues calculate that the amount of energy that oyster larvae need to build shells grows exponentially as CO2 dissolved in the water increases.
Previous work has found ocean acidification affects oyster growth and survival, says Annaliese Hettinger, an ecologist at Oregon State who wasn’t involved in the research. “George’s paper is one of the first to point to an actual reason.”
The ocean’s surface waters are slightly alkaline, with an average pH of 8.1 on a scale where anything below 7.0 is acidic. Since the onset of the Industrial Revolution, ocean pH has dropped by 0.1. By 2100, pH could decline another 0.3 units, and some parts of the ocean could become corrosive to shells.
The new findings may help explain why oyster populations could suffer even before that point. Oyster hatcheries in the Pacific Northwest have had disastrous production declines in the last several years, possibly due to seasonal winds that have brought deep, CO2-rich water to the surface. Although the water hasn’t been corrosive enough to dissolve shells, its decreased alkalinity has made shell-building difficult for larvae, Waldbusser says.
Hatcheries can combat falling pH by buffering water with antacids, Waldbusser says. But globally, he says, the only way to fight dropping pH is to reduce CO2 emissions.
More work needs to explore whether other bivalves are similarly vulnerable. Studies should also examine whether oysters can adapt to higher CO2, says physiologist Brad Seibel of the University of Rhode Island. It may be that oysters in CO2-saturated seawater will make eggs with more energy reserves to compensate for larvae’s more laborious shell construction.
Suggested Reading
J. Raloff. Rising carbon dioxide confuses brain signaling in fish. Science News. Vol. 1818, February 25, 2012, p. 14. [Go to]
S. Milius. Acidification may halve coral class of 2050. Science News. Vol. 178, December 4, 2010, p. 10. [Go to]
S. Milius. Ocean reflux. Science News Online, May 22, 2008. [Go to]
S. Milius. Bad acid: ocean’s pH drop threatens snail defense. Science News. Vol. 172, October 20, 2007, p. 245. [Go to]

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Putting a new spin on variable stars |
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A new type of variable star has been discovered by astronomers in Switzerland. The team says that its observations reveal previously unknown properties of variable stars that defy current theories and raise more questions about the origins of the luminosity variation in stars. The team's results are based on a seven-year-long study of regular measurements of the brightness of more than 3000 stars in the open star cluster NGC 3766, using the European Southern Observatory's 1.2 m Euler telescope at the La Silla Observatory in Chile.
Variable stars are those with a brightness that appears to fluctuate or "vary" when they are observed from Earth. They are divided into two broad categories depending on the cause of the variation. If it is caused by a change in the physical properties of the star, then they are called "intrinsic variables", whereas "extrinsic variables" fluctuate thanks to external factors, such as an eclipsing orbiting companion. "Our group didn't know what would come out of the observations, but knew the potential of observing open clusters regularly on a long [period of time] to improve our understanding of known classes of variable stars...but none of us was expecting to find a new class," says Nami Mowlavi of Geneva Observatory, who is the current leader of the research team. Mowlavi says that the team's findings were so surprising that the researchers spent more than six months trying to understand and make sense of the results, but that ultimately "the quality of the data and of the analysis" convinced the researchers of the reality of the results.
Varying varieties
During the study, the team found 36 of the new variety of variable stars, which represent 20% of stars with similar magnitudes within the observed cluster. Mowlavi explains that these provide sufficient evidence of a new type because all the stars were observed in a single cluster. This means that they all have the same stellar properties, including their surface temperatures. Hence, what is so surprising about the results is that periodic light variations occur in stars with those specific temperatures.
"Were it only for their variability properties, these stars could have been considered as 'standard' variable stars, like some pulsating stars that are already known," says Mowlavi. But knowing that they are main-sequence stars – that burn hydrogen in their core, such as the Sun – with surface temperatures of between 9000 and 11000 K makes them very special. This is because main-sequence stars at these temperatures are not expected to pulsate, or to have any other physical characteristic that would lead to periodic variations of their luminosity, according to current theories.
Unexpected and unexplained?
Mowlavi, along with Shopie Saesen, who is also an astronomer at Geneva Observatory, and colleagues, has considered three possible scenarios to explain these unexpected variations. The first looks at the possibility of a binary companion. "If the star is part of a binary system, then the total light emitted by the star could be modulated by its orbital motion around its companion," says Mowlavi. "But about one-third of the 36 stars are multiperiodic. This means that more than one frequency is detected in their light signal, which cannot be explained by binarity," he explains.
The second scenario relates to stellar pulsation that is consistent with the multiperiodicity, as well as with some other properties exhibited by the new class. Unfortunately, stellar pulsation is not expected in these stars. The team's observations found that four of the 36 stars are characterized by very high rotational velocities – spinning at more than 50% of their critical velocity (the velocity above which the star would break up). "Fast rotation might alter the internal conditions of a star enough to sustain stellar pulsations. But we actually don't know. There is currently no stellar model that can predict whether pulsation can be sustained in very fast rotating stars," explains Mowlavi.
The third option takes into account the presence of "spots" on the surface of such rotating stars and that these spots would induce light variations as the star rotates. But hot stars are not expected to be active, and no theory can currently explain how spots could be produced on the surface of such stars. "So, the origin of these light variations is mysterious, and we do not exclude any possibility, even others not mentioned here. We plan further observations to better characterize these stars," says Mowlavi.
The researchers have also observed other clusters during the seven-year study, and are currently analysing those data. Mowlavi told physicsworld.com that "since the stellar populations are different from one cluster to another, we may or may not find representatives of this new type of variable stars in other clusters". He points out that whatever the result, it will provide the team with further clues to the origin of these light variations "by relating their presence – or their absence – with the clusters' properties".
The team hopes that its results will encourage specialists in stellar pulsation to provide predictions for very fast rotating stars. Mowlavi says that other collaborations at Geneva University with specialists in this domain believe that this is a "very difficult task".
The research is published in Astronomy and Astrophysics.

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Nanotube sensor detects Lyme disease |
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Researchers in the US have made a new biosensor from carbon-nanotube transistors that is capable of rapidly detecting the antigens of Lyme disease. The device can detect the biomarkers at concentrations as low as 1 ng/ml, which is better than is possible with standard urine testing and comparable to traditional ELISA and Western-blot immunoassays.
Lyme disease occurs throughout much of the northern hemisphere and is spread by ticks carrying the Borrelia burgdorferi bacterium. At least 30,000 new cases are reported in the US alone each year. The disease often goes unchecked – especially in its early stages – because the symptoms are so non-specific and because of a lack of sensitive tests. Late detection can be dangerous, however, because the disease can cause arthritis and even permanent neurological disorders, among other health problems.
Now, a team led by A T Charlie Johnson of the University of Pennsylvania has made a new Lyme-disease biosensor from large arrays of semiconducting carbon nanotube (CNT) transistors grown by chemical vapour deposition on oxidized silicon wafers. "Using a covalent-chemistry technique developed in our lab, we are able to attach antibody proteins to the nanotubes very efficiently," explains Johnson. "These antibodies have a high affinity for the antigen protein of interest – p42 flagellar – which is a protein from the flagellum of the bacterium that carries Lyme disease. If this Lyme antigen is present in a sample, it gets captured by the antibodies, something which induces a change in the electronic properties of the nanotube transistors."
The Pennsylvania group's work follows on from similar strategies to detect prostrate-cancer biomarkers using CNTs. Indeed, the researchers say that they may one day be able to detect any disease with such nanotube devices simply by coating them with the appropriate proteins.
Close to nanotubes
"By directly attaching such antibody proteins to CNT transistors, the Lyme antigen is captured very close to the nanotubes," says Johnson. "Since antigens are charged molecules, bringing them into the immediate vicinity of the tubes will alter the transistors’ electronic properties in a concentration-dependent manner – with higher antigen protein concentrations binding more antibodies. By measuring the shifts in these properties we can deduce the exact concentration of the Lyme antigen in a sample."
The device can currently detect concentrations of the Lyme antigen as low as 1 ng/mL, which is better than is possible using urine tests (15 ng/mL) and comparable to traditional ELISA and Western-blot immunoassays. However, there is more to disease diagnosis than just sensitivity, says Johnson.
"The Centers for Disease Control and Prevention currently recommends a two-tiered testing approach for Lyme disease," he explains. "The first tier is an ELISA assay, but this test can produce a false negative if the patient has a disease similar to Lyme. More importantly, it cannot distinguish between Lyme antibodies caused by a current, active Lyme infection and those caused by past, treated infections."
The second-tier test is a Western blot, which tests specifically for Borrelia burgdorferi. Using Western blot on its own is more likely to lead to a false positive, resulting in inaccurate diagnosis and unnecessary treatment for a patient whose true disease may continue to afflict them.
"Our protein–nanotube hybrids overcome both these problems because they look directly for Lyme antibodies. This means that there is no lag between infection and detection (as in ELISA), and no danger of confusing current and past infections because the antigens will only be present if the Borrelia is active," says Johnson.
Further improving the detection limit
The team says that it could further improve the detection limit of its sensor by attaching only the piece of the antibody (known as a "fragment") responsible for antigen binding instead of the whole antibody protein. This would allow the antigens to be captured even closer to the nanotubes, which, in turn, would increase sensitivity – possibly by several orders of magnitude.
There is still much work to be done before the technology becomes commercially available; however, Johnson says that, luckily, there are several organizations that are already "very interested" in the group's research. "An important next step is to develop methods to detect Lyme antigens in complicated real-word samples, such as human blood. Subsequent steps will include animal and, finally, human clinical trials."
The attachment chemistry exploited in the new sensor relies on common protein features, so it could easily be extended to detect several biomarker proteins simultaneously, says Johnson. "For example, VIsE and OspA are other proteins from Borrelia burgdorferi that have been implicated in Lyme disease, so we could think about expanding our search by attaching antibodies for those antigen proteins to our nanotube transistors," he adds. "Taking it one step further, we could even include proteins for other diseases on the same chip (nanotubes are quite small after all) and perform tests for all kinds of maladies using a single, small-volume blood sample. Someday, a medical check-up might consist of simply dropping blood on a nanotube array functionalized with hundreds or even thousands of different proteins, each looking for things as diverse as heart disease, arthritis, Alzheimer's or stress biomarkers, with the results available in seconds – and all at very little cost."
The research is described in Biosensors and Bioelectronics.

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