Russia military makes slow, costly progress on Ukraine battlefield
Posted: Wed Apr 06, 2022 7:32 am
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Economists Philip Held and Frank McCormick co-authored an eye-opening new report in the American Journal of Transplantation that presents a detailed cost-benefit analysis of paying donors for their kidneys. The report concluded that if the U.S. 45,000 per kidney - yup, $45,000 to each living donor - it would save American taxpayers $12 billion a year. Wait a minute. How does paying money to kidney donors save taxpayer dollars? Held, who is a consulting professor in the Department of Nephrology at Stanford University. That means taxpayers are currently paying for years of dialysis treatments - which add up to $1.4 million per patient over a lifetime - as patients waste away on the waiting list. Actual kidney transplants are comparatively cheap, around $145,000 per operation, according to the report. Held and McCormick predict that if you began offering people $45,000 for a healthy kidney, the resulting influx of available organs would erase the waiting list in five years.
Like backscatter X-ray machines, millimeter wave scanners produce detailed full-body images of passengers, but they do it with ultrahigh-frequency millimeter wave radiation rather than X-rays. If you went on name alone, you might think "advanced imaging technology machines" could help doctors hunt for tumors or other medical conditions. In reality, the label -- euphemism, if you're cynical -- adopted by the U.S. Transportation Security Administration (TSA) describes the whole-body scanners found at airports that detect weapons, explosives or other threats being carried on passengers. According to the TSA's Web site, the agency had installed 800 advanced imaging technology machines at 200 U.S. November 2012. The machines come in two flavors, based on the type of electromagnetic radiation they use to make a scan. Backscatter machines -- about 30 percent of the installations -- send low-energy X-rays to bounce off a passenger's body. Millimeter wave (mmw) scanners emit energy more akin to microwaves. Both see through clothing to produce a 3-D image of the person standing in the machine.
Action recognition, the process of identifying actions performed by actors in a video segment, is a challenging and prolific field of computer vision. This challenge is only exacerbated by the constraints of on-the-edge real-time applications. Edge computing is a requirement for many applications that aim for maintaining privacy and scalability. Recent advancements in deep neural networks (DNNs) have lead to a renaissance of the field, driving model accuracy far beyond what was previously possible. This is especially pronounced in skeleton-based action recognition, which instead of using RGB pixel data, relies on human pose information to classify appropriate actions. Currently, near SotA accuracy can be achieved with a simple baseline ST-GCN algorithm, achieving up to 87% accuracy. With accuracy this high being available even to relatively simple models, the realization of complex computer vision applications that rely on understanding the actions of people (e.g. video surveillance, autonomous vehicles, patient monitoring) is now within the realm of possibility.
France are my tip to easily win this group, but to predict who will finish second is much harder. The other three teams are very evenly matched. They will all be confident that they can progress to the next stage. Here is my run down of the teams. France are one of the big favorites to lift the trophy in Paris on the 10th of July. They have home advantage, a good manager and a team full of talent. There are two big question marks in my mind. The first is that France was directly qualified as hosts. Therefore haven't played any competitive games since the world cup in Brazil. There is also a worry about how strong the team spirit in the French team is. They have a long history of infighting and this have been evident in past tournaments, you can't win unless everybody pulls in the same direction.
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Economists Philip Held and Frank McCormick co-authored an eye-opening new report in the American Journal of Transplantation that presents a detailed cost-benefit analysis of paying donors for their kidneys. The report concluded that if the U.S. 45,000 per kidney - yup, $45,000 to each living donor - it would save American taxpayers $12 billion a year. Wait a minute. How does paying money to kidney donors save taxpayer dollars? Held, who is a consulting professor in the Department of Nephrology at Stanford University. That means taxpayers are currently paying for years of dialysis treatments - which add up to $1.4 million per patient over a lifetime - as patients waste away on the waiting list. Actual kidney transplants are comparatively cheap, around $145,000 per operation, according to the report. Held and McCormick predict that if you began offering people $45,000 for a healthy kidney, the resulting influx of available organs would erase the waiting list in five years.
Like backscatter X-ray machines, millimeter wave scanners produce detailed full-body images of passengers, but they do it with ultrahigh-frequency millimeter wave radiation rather than X-rays. If you went on name alone, you might think "advanced imaging technology machines" could help doctors hunt for tumors or other medical conditions. In reality, the label -- euphemism, if you're cynical -- adopted by the U.S. Transportation Security Administration (TSA) describes the whole-body scanners found at airports that detect weapons, explosives or other threats being carried on passengers. According to the TSA's Web site, the agency had installed 800 advanced imaging technology machines at 200 U.S. November 2012. The machines come in two flavors, based on the type of electromagnetic radiation they use to make a scan. Backscatter machines -- about 30 percent of the installations -- send low-energy X-rays to bounce off a passenger's body. Millimeter wave (mmw) scanners emit energy more akin to microwaves. Both see through clothing to produce a 3-D image of the person standing in the machine.
Action recognition, the process of identifying actions performed by actors in a video segment, is a challenging and prolific field of computer vision. This challenge is only exacerbated by the constraints of on-the-edge real-time applications. Edge computing is a requirement for many applications that aim for maintaining privacy and scalability. Recent advancements in deep neural networks (DNNs) have lead to a renaissance of the field, driving model accuracy far beyond what was previously possible. This is especially pronounced in skeleton-based action recognition, which instead of using RGB pixel data, relies on human pose information to classify appropriate actions. Currently, near SotA accuracy can be achieved with a simple baseline ST-GCN algorithm, achieving up to 87% accuracy. With accuracy this high being available even to relatively simple models, the realization of complex computer vision applications that rely on understanding the actions of people (e.g. video surveillance, autonomous vehicles, patient monitoring) is now within the realm of possibility.
France are my tip to easily win this group, but to predict who will finish second is much harder. The other three teams are very evenly matched. They will all be confident that they can progress to the next stage. Here is my run down of the teams. France are one of the big favorites to lift the trophy in Paris on the 10th of July. They have home advantage, a good manager and a team full of talent. There are two big question marks in my mind. The first is that France was directly qualified as hosts. Therefore haven't played any competitive games since the world cup in Brazil. There is also a worry about how strong the team spirit in the French team is. They have a long history of infighting and this have been evident in past tournaments, you can't win unless everybody pulls in the same direction.
http://aggdomestico.com.br/forum/viewto ... 2&t=194197
http://forum.grafikerleriz.gen.tr/viewt ... 4&t=411092
http://aena.at/phpbb3/viewtopic.php?f=2&t=1387275
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