Age of Aquarius meditation was very successful and we have reached the critical mass, albeit barely. Around 150,000 people were actively participating:https://www.youtube.com/watch?v=33Yb3_60gwE&feature=youtu.beThis was just enough to push us over ...
Tag: strongly (page 1 of 4)
Terence Newton, Staff WriterIt has been over four years since the 9.0 magnitude Tōhoku earthquake and ensuing catastrophic tsunami leveled the Pacific coast of Japan, setting off a nuclear meltdown at the Fukushima Daichi power plant. Radiation has been pouring into the ocean, into the earth below, and into the air for over 1500 days now and there is still zero sense of urgency on the part of the government and world leaders to seriously address this blooming catastrop [...]
Brian Rogers, Prevent DiseaseI used to be pro vaccine. I know the feeling of thinking others were just plain crazy and wrong for not vaccinating their children and themselves. ‘Irresponsible!’ I said when pointing my finger. I’d use the same old arguments about polio and small pox and how vaccines saved us from all those horrible diseases and just swallowing and regurgitating the propaganda I was brought up with. It was only recently, in 2009 that I started question [...]
Alisa Opar, GuestThe plant world is a violent place. When munching caterpillars or grazing cattle set their sights on a luscious leaf, a plant can’t hightail it out of harm’s way. Instead, flora fight back with noxious chemicals. But what repels one critter may not work on the next hungry mouth, explains Heidi Appel, a senior research scientist in the Bond Life Sciences Center at the University of Missouri. She’s found that some plants can actual [...]
Excerpt from icelandreview.com
It is believed the remains of the much-searched-for Þykkvabær cloister may have been found. Icelandic and British archaeologists saw the remains of a very large building yesterday, using ultrasound techniques, at Álftaver in South Iceland.
The discovery came as a complete surprise, as it was not thought the remains of the cloister were in that area.
“I think we’ve just hit the jackpot, because I think we’ve discovered the remains of Þykkvabæjarklaustur. It came as a complete surprise, you can say that much. The remains are not on the site it was assumed the cloisters stood,” archaeology professor Steinunn Kristjánsdóttir told Stöð 2 television.
Þykkvabæjarklaustur, east of Mýrdalur, was a monastery of Augustine monks and its location has been lost to archaeologists until now. This week, ten Icelandic and British archaeologists have been searching for the remains with high tech instruments. The remains of an unusually big building were discovered under the ground yesterday, measuring around 40 x 45 meters.
“It is very big compared to the buildings of the time – as it is from the Middle Ages – and the footprint is around 1,500 square meters,” Steinunn says.
The cloister was in use from 1168 until 1550. Until recently it was assumed that Þykkvabæjarklaustur must have stood near the present-day Þykkvabæjarkirkja church, but searches revealed nothing; and this leads Steinunn to strongly believe yesterday’s find to be the lost cloisters. It is still possible, however, the remains are of a cow shed—but in that case it would be the cloister’s own cow shed and still therefore relevant.
The discovery came as a complete surprise, as it was not thought the remains of the cloister were in that area.
“I think we’ve just hit the jackpot, because I think we’ve discovered the remains of Þykkvabæjarklaustur. It came as a complete surprise, you can say that much. The remains are not on the site it was assumed the cloisters stood,” archaeology professor Steinunn Kristjánsdóttir told Stöð 2 television.
Þykkvabæjarklaustur, east of Mýrdalur, was a monastery of Augustine monks and its location has been lost to archaeologists until now. This week, ten Icelandic and British archaeologists have been searching for the remains with high tech instruments. The remains of an unusually big building were discovered under the ground yesterday, measuring around 40 x 45 meters.
“It is very big compared to the buildings of the time – as it is from the Middle Ages – and the footprint is around 1,500 square meters,” Steinunn says.
The cloister was in use from 1168 until 1550. Until recently it was assumed that Þykkvabæjarklaustur must have stood near the present-day Þykkvabæjarkirkja church, but searches revealed nothing; and this leads Steinunn to strongly believe yesterday’s find to be the lost cloisters. It is still possible, however, the remains are of a cow shed—but in that case it would be the cloister’s own cow shed and still therefore relevant.
Excerpt from huffingtonpost.comIntroductionWhy is it so hard to find ET? After 50 years of searching, the SETI project has so far found nothing. In the latest development, on April 14, 2015 Penn State researchers announced that after searching through...
Excerpt from huffingtonpost.comIntroduction 65 years ago, in 1950, while having lunch with colleagues Edward Teller and Herbert York, Nobel physicist Enrico Fermi suddenly blurted out, "Where is everybody?" His question is now known as Fermi's p...
It was not too long ago that people from France, Belgium, Germany, and other countries came to visit humans who were locked up in cages. In these zoos, humans were on exhibit in front of a large audience, locked in with animals at a local zoo. Hundreds of thousands of people would visit these minorities who were on display like animals. The humans zoos were a large attraction, as 18 million came to visit the World Fair in 1889, held in Paris. Over four hundred Aboriginals [...]
Excerpt from csmonitor.com
Thanks to a phenomenon known as gravitational lensing, the Hubble Space Telescope has captured four images of the same supernova explosion.
For the first time, a cosmic magnifying glass has allowed scientists to see the same star explosion four times, possibly offering a revealing glimpse into these explosive stellar deaths and the nature of the accelerating universe.
Astronomers using the Hubble Space Telescope have captured four images of a supernova explosion in deep space thanks to a galaxy located between Earth and the massive star explosion. You can see how Hubble saw the supernova in this NASA video. The galaxy cluster warped the fabric of space and time around it — like a bowling ball placed on a bed sheet — allowing scientists to see the supernova in four images.
"It was predicted 50 years ago that a supernova could be gravitationally lensed like this, but it's taken a long time for someone to find an example," lead study author Patrick Kelly, an astronomer at the University of California, Berkeley told Space.com. "It's fun to have been able to find the first one."
The supernova, which was discovered on Nov. 11, 2014, is located about 9.3 billion light-years away from Earth, near the edge of the observable universe. The researchers have named the distant supernova SN Refsdal in honor of the late Norwegian astrophysicist Sjur Refsdal, a pioneer of gravitational lensing studies. Due to gravitational lensing, "the supernova appears 20 times brighter than its normal brightness," study co-author Jens Hjorth, head of the Dark Cosmology Centre at the Niels Bohr Institute at the University of Copenhagen, said in a statement.
The lensing galaxy, which is about 5 billion light-years from Earth, is part of a large cluster of galaxies known MACS J1149.6+2223. In 2009, astronomers discovered that this cluster was the source of the largest known image of a spiral galaxy ever seen through a gravitational lens.
The four images of the supernova each appeared separately over the course of a few weeks. This is because light can take various paths around and through a gravitational lens, arriving at Earth at different times.
Using gravity as a lens
Gravity is created when matter warps the fabric of reality. The greater the mass of an object, the more space-time curves around that object and the stronger its gravitational pull, the discovery enshrined in Einstein's theory of general relativity, which celebrates its centennial this year.
As a result, gravity can also bend light like a lens, meaning objects see n behind powerful gravitational fields, such as those of massive galaxies, are magnified. Gravitational lensing was first discovered in 1979, and today gravitational lenses can help astronomers see features otherwise too distant and faint to detect with even the largest telescopes.
"These gravitational lenses are like a natural magnifying glass. It's like having a much bigger telescope," Kelly said in a statement. "We can get magnifications of up to 100 times by looking through these galaxy clusters."
When light is far from a gravitationally lensing mass, or if the gravitationally lensing mass is not especially large, only "weak lensing" occurs, barely distorting the light. However, when the light comes from almost exactly behind the gravitationally lensing mass, "strong lensing" can happen.
When a strongly lensed object occupies a large patch of space — for instance, if it's a galaxy — it can get smeared into an "Einstein ring" surrounding a gravitationally lensing mass. However, strong lensing of small, pointlike items — for instance, super-bright objects known as quasars — often produces multiple images surrounding the gravitationally lensing mass, resulting in a so-called "Einstein cross."
The observations of SN Refsdal mark the first time astronomers on Earth have witnessed strong lensing of a supernova, with four images of an exploding star arrayed as an Einstein cross.
An expanding universe
These new findings could help scientists measure the accelerating rate at which the universe is expanding, researchers say.
A computer model of the lensing cluster suggests the scientists missed chances to see the lensed supernova 50 and 10 years ago. However, the model also suggests more images of the explosion will repeat again within the next 10 years.
The timing of when all these images of the supernova arrive depends on the gravitational pull of the matter generating the gravitational lens. So, by measuring those times, the researchers hope to map how visible normal matter and invisible dark matter is distributed in the lensing galaxy.
Dark matter is currently one of the greatest mysteries in science, a poorly understood substance thought to make up five-sixths of all matter in the universe. A better understanding of how dark matter is behaving in this gravitationally lensing cluster might help shed light on the material's nature, Kelly said.
Analyzing when the images arrive could also help scientists pinpoint the rate at which the universe is expanding. Although there are already several ways to measure the cosmic expansion rate, "there has been a lot of heated debate between different methods, so it'd be interesting to see how this new technique might affect the area," Kelly said. "It's always nice to have completely independent measurements of the same quantity."
The scientists detailed their findings in the March 6 issue of the journal Science.
Excerpt from latimes.com
Computers have beaten humans at chess and "Jeopardy!," and now they can master old Atari games such as "Space Invaders" or "Breakout" without knowing anything about their rules or strategies.
Playing Atari 2600 games from the 1980s may seem a bit "Back to the Future," but researchers with Google's DeepMind project say they have taken a small but crucial step toward a general learning machine that can mimic the way human brains learn from new experience.
Unlike the Watson and Deep Blue computers that beat "Jeopardy!" and chess champions with intensive programming specific to those games, the Deep-Q Network built its winning strategies from keystrokes up, through trial and error and constant reprocessing of feedback to find winning strategies.
“The ultimate goal is to build smart, general-purpose [learning] machines. We’re many decades off from doing that," said artificial intelligence researcher Demis Hassabis, coauthor of the study published online Wednesday in the journal Nature. "But I do think this is the first significant rung of the ladder that we’re on."
The Deep-Q Network computer, developed by the London-based Google DeepMind, played 49 old-school Atari games, scoring "at or better than human level," on 29 of them, according to the study.
The algorithm approach, based loosely on the architecture of human neural networks, could eventually be applied to any complex and multidimensional task requiring a series of decisions, according to the researchers.
The algorithms employed in this type of machine learning depart strongly from approaches that rely on a computer's ability to weigh stunning amounts of inputs and outcomes and choose programmed models to "explain" the data. Those approaches, known as supervised learning, required artful tailoring of algorithms around specific problems, such as a chess game.
The computer instead relies on random exploration of keystrokes bolstered by human-like reinforcement learning, where a reward essentially takes the place of such supervision.
“In supervised learning, there’s a teacher that says what the right answer was," said study coauthor David Silver. "In reinforcement learning, there is no teacher. No one says what the right action was, and the system needs to discover by trial and error what the correct action or sequence of actions was that led to the best possible desired outcome.”
The computer "learned" over the course of several weeks of training, in hundreds of trials, based only on the video pixels of the game -- the equivalent of a human looking at screens and manipulating a cursor without reading any instructions, according to the study.
Over the course of that training, the computer built up progressively more abstract representations of the data in ways similar to human neural networks, according to the study.
There was nothing about the learning algorithms, however, that was specific to Atari, or to video games for that matter, the researchers said.
The computer eventually figured out such insider gaming strategies as carving a tunnel through the bricks in "Breakout" to reach the back of the wall. And it found a few tricks that were unknown to the programmers, such as keeping a submarine hovering just below the surface of the ocean in "Seaquest."
The computer's limits, however, became evident in the games at which it failed, sometimes spectacularly. It was miserable at "Montezuma's Revenge," and performed nearly as poorly at "Ms. Pac-Man." That's because those games also require more sophisticated exploration, planning and complex route-finding, said coauthor Volodymyr Mnih.
And though the computer may be able to match the video-gaming proficiency of a 1980s teenager, its overall "intelligence" hardly reaches that of a pre-verbal toddler. It cannot build conceptual or abstract knowledge, doesn't find novel solutions and can get stuck trying to exploit its accumulated knowledge rather than abandoning it and resort to random exploration, as humans do.
“It’s mastering and understanding the construction of these games, but we wouldn’t say yet that it’s building conceptual knowledge, or abstract knowledge," said Hassabis.
The researchers chose the Atari 2600 platform in part because it offered an engineering sweet spot -- not too easy and not too hard. They plan to move into the 1990s, toward 3-D games involving complex environments, such as the "Grand Theft Auto" franchise. That milestone could come within five years, said Hassabis.
“With a few tweaks, it should be able to drive a real car,” Hassabis said.
DeepMind was formed in 2010 by Hassabis, Shane Legg and Mustafa Suleyman, and received funding from Tesla Motors' Elon Musk and Facebook investor Peter Thiel, among others. It was purchased by Google last year, for a reported $650 million.
Hassabis, a chess prodigy and game designer, met Legg, an algorithm specialist, while studying at the Gatsby Computational Neuroscience Unit at University College, London. Suleyman, an entrepreneur who dropped out of Oxford University, is a partner in Reos, a conflict-resolution consulting group.
The Icarus Interstellar 'Firefly' starship concept could use novel nuclear fusion techniques to power its way to Alpha Centauri within 100 years.Adrian MannExcerpt from news.discovery.com As part of Icarus Interstellar's continuing series ...
A view of the excavations at Helike. Drekis, Wikimedia CommonsExcerpt from popular-archaeology.com A team of scholars and students will return to explore and investigate the site now thought to be the remains of the lost city of Helike, the lege...
Excerpt from huffingtonpost.com
(RNS) Meet the “Post-Seculars” — the one in five Americans who no one seems to have noticed before in endless rounds of debates pitting science vs. religion.
They’re more strongly religious than most “Traditionals” (43 percent of Americans) and more scientifically knowledgeable than “Moderns” (36 percent) who stand on science alone, according to two sociologists’ findings in a new study.
“We were surprised to find this pretty big group (21 percent) who are pretty knowledgeable and appreciative about science and technology but who are also very religious and who reject certain scientific theories,” said Timothy O’Brien, co-author of the research study, released Thursday (Jan. 29) in the American Sociological Review.
Put another way, there’s a sizable chunk of Americans out there who are both religious and scientifically minded but who break with both packs when faith and science collide.
Post-Seculars pick and choose among science and religion views to create their own “personally compelling way of understanding the world,” said O’Brien, assistant professor at University of Evansville in Indiana.
O’Brien and co-author Shiri Noy, an assistant professor of sociology at University of Wyoming, examined responses from 2,901 people to 18 questions on knowledge of and attitudes toward science, and four religion-related questions in the General Social Surveys conducted in 2006, 2008 and 2010.
Many findings fit the usual way the science-religion divide is viewed:
— Moderns, who stand on reason, scored high on scientific knowledge and scored lowest on religion questions regarding biblical authority and the strength of their religious ties.
— Traditionals, who lean toward religion, scored lower on science facts and were least likely to agree that “the benefits of scientific research outweigh the harmful results.”
However, the data turned up a third perspective – people who defied the familiar breakdown. The authors dubbed them “Post-Secular” to jump past a popular theory that Americans are moving way from religion to become more secular, O’Brien said.
Post-Seculars — about half of whom identify as conservative Protestants — know facts such as how lasers work, what antibiotics do and the way genetics affect inherited illnesses.
But when it comes to three main areas where science and Christian-centric religious views conflict — on human evolution, the Big Bang origin of the universe and the age of the Earth — Post-Seculars break away from the pack with very significantly different views from Traditionals and Moderns.
Areas where the factions are clear:
The universe began with a huge explosion:
Traditional: 21 percent
Modern: 68 percent
Post Secular: 6 percent
Human beings developed from earlier species of animals:
Traditional: 33 percent
Modern: 88 percent
Post-Secular: 3 percent
The continents have been moving for millions of years and will move in the future:
Traditional: 66 percent
Modern: 98 percent
Post-Secular: 80 percent
“Post-Seculars are smart. They know what scientists think. They just don’t agree on some key issues, and that has impact on their political views,” said O’Brien.
When the authors looked at views on the authority of the Bible and how strongly people said they were affiliated with their religion, Post-Seculars put the most faith in Scripture and were much more inclined to say they were strongly religious. And where science and faith conflict on hot-button issues, they side with the religious perspective.
For example, Moderns are the most supportive of embryonic stem cell research and abortion rights for women, but Post-Seculars, who are nonetheless largely positive about science and society, are more skeptical in both areas, O’Brien said.
Candidates running in the 2016 elections might take note.
Where people fall in these three groups can predict their attitudes on political issues where science and religion both have claims, O’Brien said, even after accounting for the usual suspects — social class, political ideology or church attendance.
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