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Space is an incredible subject to study, and it wouldn’t be possible without the collection of Moon rocks and dust, as well as information about the Universe scientists have gathered.In building 31 north at the Johnson Space Center, NASA’s Lunar Lab houses some of the most famous rocks from all the Apollo missions. They have over 100,000 rocks from space.Charis Krysher, a Lunar Curation Processor for NASA, says moon rocks and space dust are the most important thing brought back to Earth.“One of the first things that we learned from the Apollo collection was how old the moon the Earth was,” Krysher says.Rocks on Earth aren’t pristine like they are on the Moon. Moon rocks don’t age, because there is no atmosphere in space to break down the rocks. The rocks found on the moon can potentially be billions of years old. “More recently we've actually learned in the past, less than a decade, that the Moon's rocks actually contain way more water than was originally realized,” the processor explains. Just like famous diamonds and jewels, there are well known space rocks, too. Like the one found by Apollo 15. “They named it the Genesis Rock, because it’s a part of the primordial crust of the moon,” she says.When studying these samples, scientists take all the precautions, from wearing bunny suits, temperature-controlled rooms and even triple bagging each rock for storing."We try really hard to preserve the rocks so that the science that we learn from the rocks can be trusted," Krysher says.It’s not every day we go to the Moon, so these scientists take time to study the rocks and do it sparingly. They are still breaking rocks over 40 years old. However, come five years from now, they’ll get another chance for more rocks when U.S. astronauts head to the moon in 2024. 1796
Sen. Kirsten Gillibrand dropped out of the race for the 2020 Democratic presidential nomination Wednesday afternoon, ending a campaign that failed to catch on despite the New York Democrat's substantial campaign war chest and high profile position."Today, I am ending my campaign for president," Gillibrand said on Twitter. "I am so proud of this team and all we've accomplished. But I think it's important to know how you can best serve. To our supporters: Thank you, from the bottom of my heart. Now, let's go beat Donald Trump and win back the Senate."Gillibrand's decision to drop out comes as she was on the cusp of failing to qualify for the third Democratic primary debate as she was unable to meet the donor and polling thresholds outlined by the Democratic National Committee.Gillibrand, in a sign that the campaign viewed qualifying for the third debate as critical, had spent millions on TV and digital ads aimed at boosting her support. But those efforts failed to break Gillibrand out of the pack of candidates polling under 1% nationally.Gillibrand centered her campaign on fighting for equality, especially for women, something that she has also made central to her time in the Senate. 1212
Researchers have found a new way to predict some aspects of mental illness, before it happens. They used artificial intelligence and more than 60 million health records. Dr. Bruce Kinon has always been fascinated by the brain. Motivated by a desire to find better treatments for mental disorders, he co-authored a study in a collaboration with Lundbeck and Kings College in London. They developed a tool that could identify early symptoms of "first episode of psychosis,” commonly referred to as when someone has a "break."“Most schizophrenia begins with the first episode of psychosis. This is a marked change in normal behavior. This is where the patient all of a sudden, rather suddenly, begins acting bizarrely, may have thoughts not based in reality,” Dr. Kinon explained. That first episode is critical, and the beginning of the lifelong disability known as schizophrenia. So, what if they could predict that first break? It's not something you can test for. “What we’ve done in this study is basically developed a population tool that one could screen populations of individuals who haven’t been identified through any health care professional as possibly having those precedence of developing a prodromal or at risk state for psychosis,” Dr. Kinon said.Dr. Kinon says there's usually some sort of stressor that leads to that break.“These periods of first psychosis seem to be preceded by what we call prodromal symptoms, a simmering, under the surface of symptoms,” he said. “Usually the individual feels out of sorts, that they don’t understand what’s going on around them. Their social relationships may be aborted."Dr. Kinon worked with IBM Watson Health Explorys Solutions. They took more than 60 million anonymized health records, including those who'd had a diagnosis of first episode of psychosis, and put them through privatization machines and let the artificial intelligence do the work. “Sometimes when you have all this data across billions of data points across thousands of patients, it becomes hard for us as humans to see the data and find patterns that’s where machine learning comes into play,” said Dr. Anil Jain, Vice President and Chief Health Information Officer at IBM Watson Health.Dr. Jain says think of it like a virtual clinical study, where you're looking for patterns. And imagine how that could one day help doctors. It took two years to get to this point, and they're not done yet. Now that there's a predictive model looking for patterns, they need to design a clinical trial so as to create an intervention. “Imagine down the road, not today, that you put this model back in the hands of clinicians who are taking care of patients that’s how you connect the dots between what we can discover from big data and real world evidence and machine learning algorithms back to the practice of medicine.”There's still a lot of questions. Would people want to know what's coming? Or the risks? Or the stigma? But for now, it's a big step, using big data, possibly leading to big medical breakthroughs. Dr. Kinon has hope for the future, and hope for prevention for those with mental illness. In the meantime, he wants people to reach out to the many organizations, like the 3221
Sault Ste. Marie, Mich. — The wordsmiths at Lake Superior State University in Michigan have released LSSU's 44th annual "List of Words Banished from the Queen's English for Mis-use, Over-use and General Uselessness." LSSU's word banishment tradition is now in its fifth decade, and was started by the late W. T. Rabe, a public relations director at Lake Superior State University.Through the years, LSSU has received tens of thousands of nominations for the list, which now includes more than 1,000 entries. This year's list is comprised of nominations that come from the 589
Radio stations in New Zealand and Canada have dropped Michael Jackson from their playlists, following new accusations of abuse by the late pop star in the documentary "Leaving Neverland."In the two-part film, which began airing on HBO on Sunday, Wade Robson and James Safechuck accuse the singer of sexually abusing them over a period of several years when they were children. Jackson's estate has pushed back against the film, calling it a "public lynching," and is suing HBO, which shares a parent company with CNN, Warner Media.While some fans have taken to the singer's defense on social media, others have expressed support for his alleged victims, and have discussed feeling uncomfortable about listening to Jackson's music in the wake of the allegations.In New Zealand, multiple major radio stations have pulled Jackson's music from their airwaves, including commercial broadcaster MediaWorks."Michael Jackson isn't currently on any MediaWorks Radio stations' playlists," Leon Wratt, the company's director for radio, said in a statement. "This is a reflection of our audiences and their preferences -- it is our job to ensure our radio stations are playing the music people want to hear."Rival broadcaster NZME also will not be playing the late pop star's music. "NZME station playlists change from week to week and right now Michael Jackson does not feature on them," NZME entertainment director Dean Buchanan 1431