Graphene amplifier unlocks hidden frequencies in the electromagnetic spectrum

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Light in the THz frequencies hits the ‘sandwich’ and is reflected with additional energy. Credit: Loughborough University

Researchers have created a unique device which will unlock the elusive terahertz wavelengths and make revolutionary new technologies possible.

Terahertz waves (THz) sit between microwaves and infrared in the light frequency spectrum, but due to their low energy, scientists have been unable to harness their potential. The conundrum is known in scientific circles as the “terahertz gap.”

Being able to detect and amplify THz waves (T-rays) would open up a new era of medical, communications, satellite, cosmological and other technologies. One major application would be as a safe, non-destructive alternative to X-rays. However, until now, the wavelengths, which range between 3mm and 30μm, have proved impossible to use due to relatively weak signals from all existing sources.

A team of physicists has created a new type of optical transistor—a working THz amplifier—using graphene and a high-temperature superconductor. The physics behind the simple amplifier relies on the properties of graphene, which is transparent and is not sensitive to light and whose electrons have no mass. It is made up of two layers of graphene and a superconductor that trap the graphene massless electrons between them like a sandwich.

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Lasers etch a ‘perfect’ solar energy absorber

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Using femto-second lasers to etch metallic structures, University of Rochester Institute of Optics professor Chunlei Guo and his team have developed a technique that can be used to collect sunlight to heat etched metal surfaces, which can then power an electrical generator for solar power. Credit: J. Adam Fenster/University of Rochester

The University of Rochester research lab that recently used lasers to create unsinkable metallic structures has now demonstrated how the same technology could be used to create highly efficient solar power generators.

In a paper in Light: Science & Applications, the lab of Chunlei Guo, professor of optics also affiliated with Physics and the Material Sciences Program, describes using powerful femto-second laser pulses to etch metal surfaces with nanoscale structures that selectively absorb light only at the solar wavelengths, but not elsewhere.

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This Colorado college will start offering a cannabis major in the fall

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(CNN) Students on Colorado State University’s Pueblo campus will have the option to study cannabis beginning this fall.

 State officials on Friday approved a bachelor’s of science degree program in Cannabis Biology and Chemistry, according to the Colorado Department of Higher Education, which said it was one of the first such programs in the country.

“The new major is a pro-active response to a rapidly changing national scene regarding the cannabis plant,” a proposal for the program by CSU-Pueblo officials says, citing shifting attitudes toward cannabis and its legalization for recreational use in numerous states, including Colorado.

The program will be part of CSU-Pueblo’s department of chemistry and consist mainly of chemistry and biology coursework with some classes in math and physics, the proposal says.

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The secret to winning the war for talent

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In the long siege known as the war for talent, employers need a new battle plan. Instead of trying desperately to recruit from the outside to fill a growing skills gap, companies should turn to the resources that exist within their own workforces.

This is a build versus buy strategy, with greater emphasis placed on training to develop skills in-house to meet the organization’s current and future needs. As a recent Harvard Business Review article observed, rather than spending billions to acquire talent, a better approach is investing in the talent that’s already in place. “Poach-and-release is no longer a sustainable model for talent acquisition,” the authors write.

There is a greater-than-ever need for effective and efficient corporate training as the shortage of skilled workers heightens to an urgent business issue. At an education conference I attended recently, Senator Pat Toomey (R-Pa.) told the audience that the concern he hears most frequently from employers is the difficulty of hiring enough workers.

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8 powerful examples of AI for good

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Amid the cacophony of concern over artificial intelligence (AI) taking over jobs (and the world) and cheers for what it can do to increase productivity and profits, the potential for AI to do good can be overlooked. Technology leaders such as Microsoft, IBM, Huawei and Google have entire sections of their business focused on the topic and dedicate resources to build AI solutions for good and to support developers who do. In the fight to solve extraordinarily difficult challenges, humans can use all the help we can get. Here are 8 powerful examples of artificial intelligence for good as it is applied to some of the toughest challenges facing society today.

There are more than 1 billion people living with a disability around the world. Artificial intelligence can be used to amplify these people’s abilities to improve their accessibility. It can facilitate employment, improve daily life and help people living with disabilities communicate. From opening up the world of books to deaf children to narrating what it “sees” to those with visual impairments, apps and tools powered by artificial intelligence are improving accessibility.

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New theory of complex emotions

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We updated Roger Hargreaves’s Little Miss and Mr. Men universe as a suggestion to include some of our new emotions. Illustration: Zohar Lazar

 If You Can Say It, You Can Feel It Some scientists believe we have infinite emotions, so long as we can name them.

Sometime last year, I came across the word hangxiety, a neologism for hangover-induced anxiety. I cringed when I read it; it felt so phony.

The most mental distress I’d ever experienced during a hangover was some light teasing in a group chat. And then, last fall, the morning after a night of drinking, I woke up with a racing heart and a constricted feeling across my chest, as if I’d been sleeping under a dozen weighted blankets. I thought about the things I’d said and done the night before, and the physical sensations intensified.

This happened again, and then again. I haven’t had a hangover in months, largely because I’m terrified of them now. Was this always the way my brain and body responded to hangovers? Or did learning about hangxiety somehow influence the way I experience a hangover? I’d like to think I’m not that suggestible, but some emerging, somewhat controversial research on how and why we feel our feelings argues that language doesn’t just describe a feeling. It can also change it.

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New research explains how solar panels could soon be generating power at night

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As beneficial as current solar panel technology has been in our quest to switch to renewable energy, such panels can’t generate electricity at night. Now, new research suggests it could be possible to design panels that can operate around the clock.

Under optimum conditions, at night these specially designed photovoltaic cells could generate a quarter of the energy they produce during the day, according to the new study.

To achieve this, we’d need to incorporate thermoradiative cells – devices that generate energy thanks to radiative cooling, where infrared or heat radiation leaves the cell and produces a small amount of energy in the process.

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The sun is still a burning mystery. That may be about to change.

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The historic launch of the new European Solar Orbiter helps foster a golden age for understanding our nearest star.

On Sunday evening, a rocket lit up Florida’s nighttime sky as it ferried a spacecraft toward a first-of-its-kind adventure to the sun.

Even though our home star smolders every day in our skies, humans have only ever seen the sun from one perspective: face-on, from within the plane of the planets. The European Space Agency’s Solar Orbiter, or SolO, is about to change that, as it is designed to perform a detailed reconnaissance of the sun that will allow it to see the star’s previously invisible polar regions.

From this unique vantage point, SolO’s suite of 10 instruments will help uncover how the star sends streams of energetic particles called the solar wind throughout our planetary system. It will also help answer what controls the sun’s 11-year magnetic cycle, which varies in intensity and creates unanticipated fluctuations in solar activity.

“We fundamentally really don’t understand that,” says ESA’s Daniel Müller, SolO project scientist. “Hopefully, we’re filling in that gap with Solar Orbiter.”

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Scientists create ‘chemical gardens’ that can be used as bone substitute materials

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A new way of making bone-replacement materials that allows for cells to grow around and inside them has been developed by researchers at the University of Birmingham.

The team adopted a novel approach called chemobrionics, in which chemical components are controllably driven to react together in specific ways, enabling the self-assembly of intricate bio-inspired structures.

Scientists first observed these life-like ‘chemical gardens’ several hundred years ago, but recent renewed interest in the field of chemobrionics has seen researchers using these techniques to design new materials at the micro- and nanoscale.

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A game plan for quantum computing

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Pharmaceutical companies have an abiding interest in enzymes. These proteins catalyze all kinds of biochemical interactions, often by targeting a single type of molecule with great precision. Harnessing the power of enzymes may help alleviate the major diseases of our time.

Unfortunately, we don’t know the exact molecular structure of most enzymes. In principle, chemists could use computers to model these molecules in order to identify how the molecules work, but enzymes are such complex structures that most are impossible for classical computers to model.

A sufficiently powerful quantum computer, however, could accurately predict in a matter of hours the properties, structure, and reactivity of such substances—an advance that could revolutionize drug development and usher in a new era in healthcare. Quantum computers have the potential to resolve problems of this complexity and magnitude across many different industries and applications, including finance, transportation, chemicals, and cybersecurity.

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New robot does superior job sampling blood

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A prototype of an automated blood drawing and testing device. Credit: Unnati Chauhan

In the future, robots could take blood samples, benefiting patients and healthcare workers alike.

A Rutgers-led team has created a blood-sampling robot that performed as well or better than people, according to the first human clinical trial of an automated blood drawing and testing device.

The device provides quick results and would allow healthcare professionals to spend more time treating patients in hospitals and other settings.

The results, published in the journal Technology, were comparable to or exceeded clinical standards, with an overall success rate of 87% for the 31 participants whose blood was drawn. For the 25 people whose veins were easy to access, the success rate was 97%.

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An algorithm that can spot cause and effect could supercharge medical AI

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The technique, inspired by quantum cryptography, would allow large medical databases to be tapped for causal links

Understanding how the world works means understanding cause and effect. Why are things like this? What will happen if I do that? Correlations tell you that certain phenomena go together. Only causal links tell you why a system is as it is or how it might evolve. Correlation is not causation, as the slogan goes.

This is a big problem for medicine, where a vast number of variables can be interlinked. Diagnosing diseases depends on knowing which conditions cause what symptoms; treating diseases depends on knowing the effects of different drugs or lifestyle changes. Untangling such knotty questions is typically done via rigorous observational studies or randomized controlled trials.

These create a wealth of medical data, but it is spread across different data sets, which leaves many questions unanswered. If one data set shows a correlation between obesity and heart disease and another shows a correlation between low vitamin D and obesity, what’s the link between low vitamin D and heart disease? Finding out typically requires another clinical trial.

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