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To take note of Resignation of Ms. Lloyds Banking Group ( LLOY. Ukraine - DER SPIEGEL MIA Open Industry Forum. Benzinga - Jan 25, 2022, 6:59AM. Latest news you may have missed . at any time and place. Select flight arrival time.

Oppenheimer Asset Management's John Stoltzfus believes in the recent market bounce and sees improving fundamentals. All news about Ukraine politics | Euronews. Deputies search for suspect who allegedly shot at deputy. Russia-Ukraine

When that equipment is cleaned, we're left with coal ash. OK, let's put our lab coats on for a minute and get down to the chemistry of how fly ash works and what makes it special. We keep saying that fly ash is a good substitute for Portland cement, but what exactly is Portland cement? Funny you should ask. It's only the most common type of cement in use around the world, and the main ingredient in most types of concrete. Lime and silica make up the bulk of Portland cement, and it also includes aluminum and iron. Most types of Portland cement contain a mix of limestone, chalk, shells, and a variety of clay, shale and sand. Geopolymer concrete is the technical name for fly ash or any other type of concrete made from synthetic aluminosilicate materials (materials made with aluminum, silicon and oxygen). When fly ash is added to a cement mixture, it isn't just filler, it actually reacts with the other compounds that are in Portland cement and becomes part of the matrix.|Polkadot price analysis is bearish today. Resistance for DOT/USD is present at $18.1. Support for DOT/USD is present at $15.7. The Polkadot price analysis is bearish as the cryptocurrency observed another heavy sell-off today. The recent bearish slide proved detrimental for the coin value as the bearish momentum has been revived in the past few days. The price function is headed straight down for today, as the market has turned completely bearish. The bearish momentum has proved to be quite overwhelming for the bulls, as the price has sunk down to $16.8 seven months low. The current price level is also a support level and is under test if it persists; if not, then the next support for DOT/USD is present at $15.7. The daily Polkadot price analysis confirms a strong bearish trend for the market today as the price covered a downward movement in the past 24-hours. The sellers have been in the leading position for the past week as a continuous downslide in the DOT/USD value was observed. The bearish price curve just reached the $16.8 low at the time of writing, losing more than seven percent value overnight because of the stronger pressure from the sellers’ end. The talent in the team is unquestionable, a good mixture of youth and experience with a lot of players coming off very successful seasons with their clubs and should be full of confidence. The key player for me is the Juventus midfielder Paul Pogba. He has already been a key player for Juventus since his move from Manchester United in 2012, but haven't yet reached the same level for his country. If he performs at his best, France can win this summer. This relatively small country has a great record in qualifying to the big tournaments. The only major championship they have missed out since 2004 was the Euros in 2012, and they progressed from the group stages in Brazil 2014 only to be knocked out by Argentina. They have an experienced, hard working team and Switzerland will be very hard to beat. Defensively very tight, led by veterans Johann Djourou and Stephan Lichtsteiner they kept five clean sheet in their qualifying group.|Conventional video compression (VC) methods are based on motion compensated transform coding, and the steps of motion estimation, mode and quantization parameter selection, and entropy coding are optimized individually due to the combinatorial nature of the end-to-end optimization problem. Learned VC allows end-to-end rate-distortion (R-D) optimized training of nonlinear transform, motion and entropy model simultaneously. Most works on learned VC consider end-to-end optimization of a sequential video codec based on R-D loss averaged over pairs of successive frames. It is well-known in conventional VC that hierarchical, bi-directional coding outperforms sequential compression because of its ability to use both past and future reference frames. This paper proposes a learned hierarchical bi-directional video codec (LHBDC) that combines the benefits of hierarchical motion-compensated prediction and end-to-end optimization. Experimental results show that we achieve the best R-D results that are reported for learned VC schemes to date in both PSNR and MS-SSIM. Compared to conventional video codecs, the R-D performance of our end-to-end optimized codec outperforms those of both x265 and SVT-HEVC encoders ("veryslow" preset) in PSNR and MS-SSIM as well as HM 16.23 reference software in MS-SSIM. However, they're very different from Optimus Prime. With self-reconfigurable robots, the engineer typically prefers to keep the individual, mobile modules small, simple, inexpensive, and interchangeable; in the case of Optimus Prime, however, we are dealing with a robot whose individual modules are as large as the cab of a semi truck. Even if building such modules were possible, the expense would be exorbitant, and the extraordinary complexity would make it virtually impossible to ever get all of the systems operating properly together. If engineers figured out how to make interchangeable modules on Optimus Prime's scale, it might still be impossible to provide the power to move them. In his vehicle form, Optimus Prime can run on ordinary diesel fuel. But walking is far less efficient than rolling on wheels. In order to walk, Prime would need far more power than a diesel engine could provide. Traditional robots are built upon one of three power sources-electric, pneumatic, or hydraulic. Due to the extreme weights involved, hydraulic power is the most likely source for Prime, because hydraulic actuators provide very high power-to-weight ratios (large power output for small power inputs).

Russia-Ukraine The talent in the team is unquestionable, a good mixture of youth and experience with a lot of players coming off very successful seasons with their clubs and should be full of confidence. The key player for me is the Juventus midfielder Paul Pogba. He has already been a key player for Juventus since his move from Manchester United in 2012, but haven't yet reached the same level for his country. If he performs at his best, France can win this summer. This relatively small country has a great record in qualifying to the big tournaments. The only major championship they have missed out since 2004 was the Euros in 2012, and they progressed from the group stages in Brazil 2014 only to be knocked out by Argentina. They have an experienced, hard working team and Switzerland will be very hard to beat. Defensively very tight, led by veterans Johann Djourou and Stephan Lichtsteiner they kept five clean sheet in their qualifying group.|Scientists have held the belief that the universe's continued expansion has been driven by a force called dark energy, but could the idea of a new "early" dark energy help explain this idea? For more than a century, scientists have known that the universe has been expanding since the big bang, the primordial event that started everything 13.8 billion years ago. But so far, they haven't been able to resolve a tricky problem. How fast is it expanding? That's because there's a disparity between the estimated rate based upon radiation left over from the big bang, known as the cosmic microwave background, or CMB in scientific lingo, and the significantly faster pace based on observations of supernovae. Scientists have held the belief that the universe's continued expansion has been driven by a force called dark energy, which seems to have begun reversing the universe's deacceleration 7 or 8 billion years after the big bang. Glenn Starkman, a distinguished university professor and co-chair of the physics department at Case Western Reserve University. Examples of this fishy technology have already tested the waters of the London Aquarium, where they successfully swam free of human control. In addition, they didn't attract the attention of their flesh-and-blood predatory tank mates. As the $30,000 robotic fish consists entirely of mechanical and electronic parts, it obviously wouldn't make for the most satisfying shark dinner -- nor would the old woman in Pushkin's story be able to do much with it in a stew. The real payoff to both humans and fish is the robot's potential to provide a real-time understanding of ocean pollution. So why all the work to make it look like an animal? How do the fish bots report back to the researchers, and why aren't sharks interested in taking a bite? BMT Group's robotic fish have received a lot of attention due to their environmental mission, but you really can't ignore the fact that they look and swim so much like actual fish. Don't be fooled: This isn't just window dressing for the media. "So it’s most likely that his final ambition is to destroy this Ukrainian state, or at least make Ukraine divide into two separate halves," he said, with Russia controlling the eastern part of the country. In significant follow-up comments on Tuesday, Putin said he was recognizing the entire Donetsk and Luhansk regions of east Ukraine, which together comprise an area known as the Donbas, as forming their breakaway "republics," even though only a fraction of that territory is controlled by the separatists. With Russia affirming the right under its new treaties to send in troops and build military bases, that opens up the risk it could enter an open war with Ukraine to extend the separatist territories. Putin has always denied planning to re-invade Ukraine but his huge military buildup on its borders since November has prompted brutal falls in Russian shares, government bonds and the ruble. His latest moves have heightened anxiety among the Russian elite.

To do this, we'll need to understand how current laptops are structured. Basically, the laptops with which we're all familiar consist of many individual components, each fixed within a metal frame. The entire structure opens. Closes like a book. Not only does a traditional laptop's metal frame form a rigid shell, but most of its internal components are bulky and rigid, too. The largest of these components is the screen, or display. There are several different types of modern computer displays, each built with different technologies, but most of today's displays are inflexible, bulky and surprisingly fragile. The hard disk drive, used to store memory, is another large and rigid component of a traditional laptop. The list continues and includes many other components you're probably familiar with, such as the CD/DVD drive and the battery. There are at least three main components to the Fabric PC design that will allow this to happen. First of all, the computer display will be constructed from a cutting-edge technology called e-paper, allowing the display screen to be paper-thin and bendable.|The Avanti II managed to find success where the original never did.Each one was custom-built by hand for its owner. Studebaker fled to Canada in late 1963. Left the auto business three years later. By that time, Leo Newman and Nathan Altman had resurrected the Avanti, Studebaker's most interesting car of the '60s. Designed by a team under Raymond Loewy, the Avanti had failed Studebaker in the marketplace but succeeded greatly with enthusiasts -- the only Studebaker in two generations to inspire such interest. Before its phaseout upon Studebaker's departure from South Bend, the Avanti had broken virtually every major U.S. Auto Club speed record. Knowing the Avanti was too good to lose, they bought the name, production rights, tooling, and a portion of the century-old South Bend plant where the Avanti had been built. In 1965, they began turning out a revised version called Avanti II. They hoped to make 300 a year, which they'd never manage, but output was adequate and consistent. How much radiation do these machines produce? Is it enough to increase cancer rates in the general population? And can TSA agents see intimate details we'd rather they didn't? The European Union has addressed these questions decisively: It bans any body scanners that use X-ray technology. That ban complies with a law in several European countries that says people shouldn't be exposed to X-rays except for medical reasons. In the U.S., the TSA and the vendors that manufacture the scanners - such as Rapiscan for backscatter and L-3 Communications for millimeter wave -- continue to assure the public about the safety of the devices. And they've taken steps to protect passenger privacy by installing software that either creates generic outlines of people or blurs certain regions of the image. Still, many people remain skeptical that airport scanners, in any shape or form, are completely safe. And many more feel a bit lost trying to understand how the machines work and how they're different.|Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale--terabytes and petabytes--is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge--from computer science, statistics, machine learning, and application disciplines--that must be brought to bear to make useful inferences from massive data. You scan the area as the dust settles; it reveals nothing more than small fires where each of the armored vehicles had been just a moment ago. You exchange horrified looks with the remaining members of your platoon. It becomes excruciatingly clear to all of you that it's time to run. As you take a step or two, a brilliant light fills your sight. Eighteen miles away, the effectiveness of the attack is confirmed. Welcome to the United States Army's world of future combat. At the center of this vision for the immediate future is what took out you. Your caravan -- the non-line-of-sight cannon (NLOS-C). Capable of rapidly firing a number of different rounds -- from what appears to be out of nowhere -- the NLOS-C can accurately put the kibosh on enemy movement quickly, effectively and with decidedly less collateral damage. Read about this essential leap forward in American military firepower on the next page.|Using data released by the federal Election Assistance Commission (EAC) in June, a new Brennan Center analysis has found that between 2016 and 2018, counties with a history of voter discrimination have continued purging people from the rolls at much higher rates than other counties. To be clear, we report the total numbers of voters removed by a county for any reason. Election officials purge voters they believe are ineligible for a variety of reasons, including death and moving outside the jurisdiction. This analysis does not assess how many voters were improperly purged. Every two years, the EAC administers a survey to election officials around the country known as the Election Administration and Voting Survey (EAVS). The survey includes a host of questions about the state of voter registration in the jurisdiction. The experience of the most recent federal election. Jurisdictions are requested to report on information including how many new registrations occurred between the federal elections, the number of ballots cast on election day, and the number of polling sites that were open on election day.