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domingo, 14 de dezembro de 2014
Inside a Jet Engine
At takeoff, a jetliner engine can move 1.25 tons of air per second. That’s enough power to suck all the air out of the largest football stadium in less than a minute! Here’s a basic look at incredible jet engine technology with the turbofan engine.
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9 things I wish people understood about anxiety
What's the point of a curved TV?
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The world's first 110-inch curved UHD TV unveiled by TCL in September – but is curved better than straight? Over the last year or so, we've seen a number of curved TVs hitting the market. Sure, they look slick and stand out from the crowd, but what, if anything makes a curved TV better than a flat one when it comes to your viewing pleasure? One of the biggest marketing hooks upon which curved TV manufacturers like LG and Samsung are hanging their hats is the idea that curved TVs provide better a better viewing experience, and there is some scientific evidence to back up the claim. Oshin Vartanian and colleagues at the University of Toronto's Department of Psychology have been working in the the field of neuroaesthetics. This is the study of what neurological factors play a role in the things we find pleasing to the eye, or not. Research by Vartanian and his team suggests that we naturally find curved objects more pleasing than those with straight edges. Whilst he acknowledges that curved TVs "provide some flair," Dr. Raymond M. Soneira of display diagnostics and calibration company DisplayMate argues that whether or not we like a curved TV more or less than a flat one is still primarily a subjective matter. Soneira, who earned a Ph.D. in Theoretical Physics at Princeton, says there are other, more tangible benefits to a curved screen. Soneira explains that the concave shape reduces the number of reflections on a screen by eliminating certain angles from which they can be created. "This is very important for a display technology that produces excellent dark image content and perfect blacks, because you don’t want that spoiled by ambient light reflected off the screen," says Soneira. He also says that curved TVs improve the viewing experience for individuals sitting off-center. Soneira explains that the curve of the screen works to eliminate some of the unintended "foreshorteneing" caused by sitting to one side. That is to say, images displayed on the far side of the screen that would otherwise look unnaturally small compared to images on the near side of the screen due to the larger viewing distance are, in fact, equalized to some extent by the curve. Soneira also points out that the curved shape keeps the screen at a more uniform distance from the viewer's eyes when they are sitting centrally. This reduces the slight visual geometric distortion caused by the fact that the sides of the TV are further away from the viewer than the center when looking at a flat screen. This more uniform distance from the edges and the center of the screen to the viewer's eyes is something to which Samsung, amongst others, has argued there are other benefits. By bringing forward the sides of the screen, a curve effectively increases size of a TV as perceived by the viewer. This is because it subsequently fills more of the individual's field of view. Samsung also argues that curved screens deliver a greater sense of immersiveness and that the more uniform focal distance minimizes viewing distortion at the sides of the screen. Based on an average living room viewing distance of around 3-4 m (10-13 ft), the firm says that 4200 mm (13.8 ft) is the optimal curve radius to ensure a uniform viewing distance across the screen. So it would seem that along with their futuristic looks (which let's face it, is a perfectly valid reason to buy one for many consumers), there are some tangible benefits to curved TVs. Whether or not these justify the significant price hike over their flat counterparts is another matter entirely. What's your take on curved TVs? We'd love to hear from readers who have taken the plunge.
About the Author Stu is a tech writer based in Liverpool, UK. He has previously worked on global digital estate management at Amaze and headed up digital strategy for FACT (Foundation for Art and Creative Technology). He likes cups of tea, bacon sandwiches and RSS feeds. All articles by Stu Robarts
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Review: aerelight OLED lamp
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Gizmag tries out the aerelight OLED lamp (Photo: Ben Coxworth/Gizmag) Image Gallery (5 images) While OLED technology is increasingly being applied to things like electronic gadget displays and TVs, it can also serve as an efficient and aesthetically-pleasing form of lighting. A number of companies have capitalized on this fact by marketing OLED lamps, although most of them are quite expensive – prices can range from around US$500 up into the thousands. Canada's OTI Lumionics, however, has developed its own cost-effective OLED lighting system, and incorporated it into the $239 aerelight. I recently got to try one out for myself. First of all, just what is an OLED, or Organic Light Emitting Diode? Well, essentially it's a thin electroluminescent panel containing carbon-based organic dyes, that emits light when an electrical current is passed through it. As a light source, OLEDs have an electrical efficiency similar to that of LEDs, although they produce a softer, more even light – this is because the light is being emitted from a broad sheet of material, instead of from individual bulbs. Additionally, they're said to produce a nicer color temperature of "white" light, plus their thin, flexible form allows for some interesting design possibilities. ... which brings us to the aerelight. As can be seen in the photos, it has a very modern, minimalist form – its light-emitting panel is less than 2 mm thick. There are no controls on the anodized aluminum-bodied lamp whatsoever, with users turning it on and then cycling through three brightness settings simply by touching it anywhere. At its maximum setting, it puts out 1,000 lux at a warm, incandescent-like temperature of 2,900 K (using just 7 watts of energy as it does so). This certainly proved sufficient to light up my desk area. It would be nice if the angle of the panel could be adjusted, although this is by no means a deal-breaker – because there's no one bright spot of light, glare isn't really an issue. It's also worth noting that unlike the halogen desk lamp which I currently use, it produces no noise whatsoever. According to OTI, the lighting panel should last for 20 years with a typical usage of three hours per day at maximum brightness. As an added feature, the designers have built a Qi wireless charging pad into the wood-accented base of the lamp. To charge a Qi-ready smartphone (which I had some difficulty tracking down for testing), you just place it on the pad and the charging begins. It's a handy feature I suppose, although given that most phones still don't incorporate the Qi system, perhaps buyers should have the option of going with a less expensive lamp that doesn't have a charging pad. All in all, I definitely liked the aerelight – particularly its simplicity, quality of light, and solid feel. OTI is taking preorders now, with shipping planned to start early next year. Buyers can choose between frame colors of black, red and silver. Product page: aerelight
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Suplemento: Os benefícios do Picolinato de Cromo na prática de exercícios
(O texto a seguir é de natureza meramente informativa a respeito dessa substância. Todo e qualquer suplemento deve ser tomado depois de obter instruções e direcionamento de profissionais na área de Saúde)Os sais minerais são de grande importância para a manutenção da saúde e para a melhora do desempenho atlético. Ao todo, cerca de 20 minerais são necessários - em doses adequadas - para manter o bom funcionamento de tecidos e células. Alguns desses elementos são absorvidos em doses Um mal a ser evitado Podemos citar três “tragédias” para que você leitor possa tomar conhecimento de alguns males que a Resistência à Insulina pode causar-lhe: Que tragédia! Seu crescimento muscular é limitado e você ainda corre o risco de sofrer um evento catabólico após o treinamento, ao invés de anabolizar por completo! Mas o pior é que a produção excessiva de insulina pode levar você a um ganho excessivo de gordura e como tudo o que está ruim pode piorar, você ainda pode desenvolver Diabetes tipo II e para isto basta que você consuma excesso de carboidratos de má qualidade combinados com muita gordura (fisiculturistas em épocas fora de competição devem ter cuidado nesta fase).Isso acarretará fatidicamente na redução da afinidade dos receptores de insulina nas membranas celulares, porém, nos adipócitos, suas células de gordura, a “amizade” continua e seu pâncreas, numa tentativa heróica de tentar compensar a queda na eficiência desse hormônio e sua atuação nos tecidos alvo (exceto o adiposo!) passa a secretar maiores quantidades de insulina e este aumento favorece unilateralmente uma melhor assimilação da glicose sangüínea pelos adipócitos em detrimento dos demais tecidos. A glicemia eleva-se — uma conseqüência direta da deficiência de assimilação desse açúcar pelas células — e isso acaba resultando num aumento de oferta de glicose para as... Como amenizar esse quadro? Dosagens Recomendadas Sugestão de Uso: ALEXANDRE ROBERTO DE MELO |
sábado, 13 de dezembro de 2014
Berkeley Lab Scientists ID New Driver Behind Arctic Warming
News Release Dan Krotz 510-486-4019 • November 3, 2014New research indicates the Arctic Ocean traps more energy from far-infrared radiation than previously estimated, which is likely contributing to the warming of the polar climate. Scientists have identified a mechanism that could turn out to be a big contributor to warming in the Arctic region and melting sea ice. The research was led by scientists from the US Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab). They studied a long-wavelength region of the electromagnetic spectrum called far infrared. It’s invisible to our eyes but accounts for about half the energy emitted by the Earth’s surface. This process balances out incoming solar energy. Despite its importance in the planet’s energy budget, it’s difficult to measure a surface’s effectiveness in emitting far-infrared energy. In addition, its influence on the planet’s climate is not well represented in climate models. The models assume that all surfaces are 100 percent efficient in emitting far-infrared energy. That’s not the case. The scientists found that open oceans are much less efficient than sea ice when it comes to emitting in the far-infrared region of the spectrum. This means that the Arctic Ocean traps much of the energy in far-infrared radiation, a previously unknown phenomenon that is likely contributing to the warming of the polar climate. Their research appears this week in the online early edition of the Proceedings of the National Academy of Sciences. “Far-infrared surface emissivity is an unexplored topic, but it deserves more attention. Our research found that non-frozen surfaces are poor emitters compared to frozen surfaces. And this discrepancy has a much bigger impact on the polar climate than today’s models indicate,” says Daniel Feldman, a scientist in Berkeley Lab’s Earth Sciences Division and lead author of the paper. “Based on our findings, we recommend that more efforts be made to measure far-infrared surface emissivity. These measurements will help climate models better simulate the effects of this phenomenon on the Earth’s climate,” Feldman says. He conducted the research with Bill Collins, who is head of the Earth Sciences Division’s Climate Sciences Department. Scientists from the University of Colorado, Boulder and the University of Michigan also contributed to the research. This simulation, from the Community Earth System Model, shows decadally averaged radiative surface temperature changes during the 2030s after far-infrared surface emissivity properties are taken into account. The right color bar depicts temperature change in Kelvin. (Credit: Berkeley Lab). The far-infrared region of the electromagnetic spectrum spans wavelengths that are between 15 and 100 microns (a micron is one millionth of a meter). It’s a subset of infrared radiation, which spans wavelengths between 5 and 100 microns. In comparison, visible light, which is another form of electromagnetic radiation, has a much shorter wavelength of between 390 and 700 nanometers (a nanometer is one billionth of a meter). Many of today’s spectrometers cannot detect far-infrared wavelengths, which explains the dearth of field measurements. Because of this, scientists have extrapolated the effects of far-infrared surface emissions based on what’s known at the wavelengths measured by today’s spectrometers. Feldman and colleagues suspected this approach is overly simplistic, so they refined the numbers by reviewing published studies of far-infrared surface properties. They used this information to develop calculations that were run on a global atmosphere climate model called the Community Earth System Model, which is closely tied to the Department of Energy’s Accelerated Climate Model for Energy (ACME). The simulations revealed that far-infrared surface emissions have the biggest impact on the climates of arid high-latitude and high-altitude regions. In the Arctic, the simulations found that open oceans hold more far-infrared energy than sea ice, resulting in warmer oceans, melting sea ice, and a 2-degree Celsius increase in the polar climate after only a 25-year run. This could help explain why polar warming is most pronounced during the three-month winter when there is no sun. It also complements a process in which darker oceans absorb more solar energy than sea ice. “The Earth continues to emit energy in the far infrared during the polar winter,” Feldman says. “And because ocean surfaces trap this energy, the system is warmer throughout the year as opposed to only when the sun is out.” The simulations revealed a similar warming effect on the Tibetan plateau, where there was five percent less snowpack after a 25-year run. This means more non-frozen surface area to trap far-infrared energy, which further contributes to warming in the region. “We found that in very arid areas, the extent to which the surface emits far-infrared energy really matters. It controls the thermal energy budget for the entire region, so we need to measure and model it better,” says Feldman The research was supported by NASA and the Department of Energy’s Office of Science. Lawrence Berkeley National Laboratory addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science. For more, visit www.lbl.gov. DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit the Office of Science website at science.energy.gov/. Additional information:
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As Temperatures Rise, Soil Will Relinquish Less Carbon to the Atmosphere Than Currently Predicted
New Berkeley Lab model quantifies interactions between soil microbes and their surroundingsNews Release Dan Krotz 510-486-4019 • November 17, 2014 The soil above the Arctic Circle near Barrow, Alaska contains a tremendous amount of carbon. New research may help scientists better predict how much of this carbon will be released as the climate warms. Here’s another reason to pay close attention to microbes: Current climate models probably overestimate the amount of carbon that will be released from soil into the atmosphere as global temperatures rise, according to research from the US Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab). The findings are from a new computer model that explores the feedbacks between soil carbon and climate change. It’s the first such model to include several physiologically realistic representations of how soil microbes break down organic matter, a process that annually unleashes about ten times as much carbon into the atmosphere as fossil fuel emissions. In contrast, today’s models include a simplistic representation of microbial behavior. The research is published Nov. 17 on the website of the journal Nature Climate Change. Based on their results, the Berkeley Lab scientists recommend that future Earth system models include a more nuanced and dynamic depiction of how soil microbes go about the business of degrading organic matter and freeing up carbon. This approach could help scientists more accurately predict what will happen to soil carbon as Earth’s climate changes. These predictions are especially important in vulnerable regions like the Arctic, which is expected to warm considerably this century, and which holds a vast amount of carbon in the tundra. “We know that microbes are the agents of change when it comes to decomposing organic matter. But the question is: How important is it to explicitly quantify complex microbial interactions in climate models?” says Jinyun Tang, a scientist in Berkeley Lab’s Earth Sciences Division who conducted the research with fellow Berkeley Lab scientist William Riley. “We found that it makes a big difference,” Tang says. ”We showed that warming temperatures would return less soil carbon to the atmosphere than current models predict.” The complex and dynamic livelihood of soil microbes is captured in this schematic. For the first time, these processes are represented in a computer model that predicts the fate of soil carbon as temperatures rise. (Credit: Berkeley Lab) Terrestrial ecosystems, such as the Arctic tundra and Amazon rainforest, contain a huge amount of carbon in organic matter such as decaying plant material. Thanks to soil microbes that break down organic matter, these ecosystems also contribute a huge amount of carbon to the atmosphere. Because soil is such a major player in the carbon cycle, even a small change in the amount of carbon it releases can have a big effect on atmospheric carbon concentrations. This dynamic implies that climate models should represent soil-carbon processes as accurately as possible. But here’s the problem: Numerous empirical experiments have shown that the ways in which soil microbes decompose organic matter, and respond to changes in temperature, vary over time and from place to place. This variability is not captured in today’s ecosystem models, however. Microbes are depicted statically. They respond instantaneously when they’re perturbed, and then revert back as if nothing happened. To better portray the variability of the microbial world, Tang and Riley developed a numerical model that quantifies the costs incurred by microbes to respire, grow, and consume energy. Their model accounts for internal physiology, such as the production of enzymes that help microbes break down organic matter. It includes external processes, such as the competition for these enzymes once they’re outside the microbe. Some enzymes adsorb onto mineral surfaces, which means they are not available to chew through organic matter. The model also includes competition between different microbial populations. Together, these interactions—from enzymes to minerals to populations—represent microbial networks as ever-changing systems, much like what’s observed in experiments. The result? When the model was subjected to a 4 degrees Celsius change, it predicted more variable but weaker soil-carbon and climate feedbacks than current approaches. “There’s less carbon flux to the atmosphere in response to warming,” says Riley. “Our representation is more complex, which has benefits in that it’s likely more accurate. But it also has costs, in that the parameters used in the model need to be further studied and quantified.” Tang and Riley recommend more research be conducted on these microbial and mineral interactions. They also recommend that these features ultimately be included in next-generation Earth system models, such as the Department of Energy’s Accelerated Climate Modeling for Energy, or ACME. The research was supported by the Department of Energy’s Office of Science. Lawrence Berkeley National Laboratory addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science. For more, visit www.lbl.gov. DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit the Office of Science website at science.energy.gov/. Additional information:
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Why are magazines in practice waiting rooms mainly old?
Fed up with complaints about the lack of up to date magazines in the waiting room of his general practice, Professor Bruce Arroll and colleagues set out to answer the question. Their findings are published in the Christmas issue of The BMJ.A total of 87 magazines were stacked into three mixed piles and placed in the waiting room of a general practice in Auckland, New Zealand. They included non-gossipy magazines (Time magazine, the Economist, Australian Women's Weekly, National Geographic, BBC History) and gossipy ones (defined as having five or more photographs of celebrities on the front cover). Of the 82 magazines with a date on the front cover, 47 were less than 2 months old and the rest were 3-12 months old. Each magazine was marked with a unique number on the back cover and monitored twice weekly. The main aims of the study were to find out if the new or old magazines disappeared first, to measure the rate of loss, and the loss of gossipy compared with non gossipy magazines. Afer 31 days the study was stopped and 41 of the 87 (47%) magazines had disappeared -- a disappearance rate of 1.32 magazines each day. Current magazines were more likely to go missing than older ones (59% compared with 27%). Gossipy magazines were over 14 times more likely to disappear at any time than non-gossipy magazines. Of the 19 non-gossipy magazines (four Time magazines and 15 of the Economist), none had disappeared by the end of the study. Of the 27 gossipy magazines, only one was left. Magazines that disappeared were also significantly cheaper than those that remained. This study is possibly the first to explain the lack of up to date magazines in doctors' waiting rooms and to quantify their loss, say the authors. Extrapolating their findings of 41 magazines each month at an average cost of £3.20 ($5.00; €4.00) per magazine over the 8,000 practices in the UK, this equates to £12.6m disappearing from general practices -- resources that could be better used for healthcare. Practices should consider using old copies of the Economist and Time magazine as a first step towards saving costs, suggest the authors. Further research would include identifying who or what is responsible for the removal of magazines, they conclude. Story Source: The above story is based on materials provided by BMJ-British Medical Journal. Note: Materials may be edited for content and length. Journal Reference:
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More-flexible digital communication
Communication protocols for digital devices are very efficient but also very brittle: They require information to be specified in a precise order with a precise number of bits. If sender and receiver -- say, a computer and a printer -- are off by even a single bit relative to each other, communication between them breaks down entirely. Humans are much more flexible. Two strangers may come to a conversation with wildly differing vocabularies and frames of reference, but they will quickly assess the extent of their mutual understanding and tailor their speech accordingly.Madhu Sudan, an adjunct professor of electrical engineering and computer science at MIT and a principal researcher at Microsoft Research New England, wants to bring that type of flexibility to computer communication. In a series of recent papers, he and his colleagues have begun to describe theoretical limits on the degree of imprecision that communicating computers can tolerate, with very real implications for the design of communication protocols."Our goal is not to understand how human communication works," Sudan says. "Most of the work is really in trying to abstract, 'What is the kind of problem that human communication tends to solve nicely, [and] designed communication doesn't?' -- and let's now see if we can come up with designed communication schemes that do the same thing." One thing that humans do well is gauging the minimum amount of information they need to convey in order to get a point across. Depending on the circumstances, for instance, one co-worker might ask another, "Who was that guy?"; "Who was that guy in your office?"; "Who was that guy in your office this morning?"; or "Who was that guy in your office this morning with the red tie and glasses?" Similarly, the first topic Sudan and his colleagues began investigating is compression, or the minimum number of bits that one device would need to send another in order to convey all the information in a data file. Uneven odds In a paper presented in 2011, at the ACM Symposium on Innovations in Computer Science (now known as Innovations in Theoretical Computer Science, or ITCS), Sudan and colleagues at Harvard University, Microsoft, and the University of Pennsylvania considered a hypothetical case in which the devices shared an almost infinite codebook that assigned a random string of symbols -- a kind of serial number -- to every possible message that either might send. Of course, such a codebook is entirely implausible, but it allowed the researchers to get a statistical handle on the problem of compression. Indeed, it's an extension of one of the concepts that longtime MIT professor Claude Shannon used to determine the maximum capacity of a communication channel in the seminal 1948 paper that created the field of information theory. In Sudan and his colleagues' codebook, a vast number of messages might have associated strings that begin with the same symbol. But fewer messages will have strings that share their first two symbols, fewer still strings that share their first three symbols, and so on. In any given instance of communication, the question is how many symbols of the string one device needs to send the other in order to pick out a single associated message. The answer to that question depends on the probability that any given interpretation of a string of symbols makes sense in context. By way of analogy, if your co-worker has had only one visitor all day, asking her, "Who was that guy in your office?" probably suffices. If she's had a string of visitors, you may need to specify time of day and tie color. Existing compression schemes do, in fact, exploit statistical regularities in data. But Sudan and his colleagues considered the case in which sender and receiver assign different probabilities to different interpretations. They were able to show that, so long as protocol designers can make reasonable assumptions about the ranges within which the probabilities might fall, good compression is still possible. For instance, Sudan says, consider a telescope in deep-space orbit. The telescope's designers might assume that 90 percent of what it sees will be blackness, and they can use that assumption to compress the image data it sends back to Earth. With existing protocols, anyone attempting to interpret the telescope's transmissions would need to know the precise figure -- 90 percent -- that the compression scheme uses. But Sudan and his colleagues showed that the protocol could be designed to accommodate a range of assumptions -- from, say, 85 percent to 95 percent -- that might be just as reasonable as 90 percent. Buggy codebook In a paper being presented at the next ITCS, in January, Sudan and colleagues at Columbia University, Carnegie Mellon University, and Microsoft add even more uncertainty to their compression model. In the new paper, not only do sender and receiver have somewhat different probability estimates, but they also have slightly different codebooks. Again, the researchers were able to devise a protocol that would still provide good compression. They also generalized their model to new contexts. For instance, Sudan says, in the era of cloud computing, data is constantly being duplicated on servers scattered across the Internet, and data-management systems need to ensure that the copies are kept up to date. One way to do that efficiently is by performing "checksums," or adding up a bunch of bits at corresponding locations in the original and the copy and making sure the results match. That method, however, works only if the servers know in advance which bits to add up -- and if they store the files in such a way that data locations correspond perfectly. Sudan and his colleagues' protocol could provide a way for servers using different file-management schemes to generate consistency checks on the fly. "I shouldn't tell you if the number of 1's that I see in this subset is odd or even," Sudan says. "I should send you some coarse information saying 90 percent of the bits in this set are 1's. And you say, 'Well, I see 89 percent,' but that's close to 90 percent -- that's actually a good protocol. We prove this." "This sequence of works puts forward a general theory of goal-oriented communication, where the focus is not on the raw data being communicated but rather on its meaning," says Oded Goldreich, a professor of computer science at the Weizmann Institute of Science in Israel. "I consider this sequence a work of fundamental nature." "Following a dominant approach in 20th-century philosophy, the work associates the meaning of communication with the goal achieved by it and provides a mathematical framework for discussing all these natural notions," he adds. "This framework is based on a general definition of the notion of a goal and leads to a problem that is complementary to the problem of reliable communication considered by Shannon, which established information theory." |