An anonymous reader shares this report from Space.com: On Saturday evening (Aug. 15), SpaceX set another mark, for the shortest time between orbital flights: It launched two Falcon 9 rockets just 38 minutes apart, besting its old mark — set on Aug. 31, 2024 with two Starlink missions — by 27 minutes.

The first liftoff, from Florida's Cape Canaveral Space Force Station, occurred Saturday at 9:12 p.m. EDT (0112 GMT on Aug. 16) and carried eight satellites to low Earth orbit (LEO) for Louisiana-based telecom company Globalstar. All eight spacecraft were deployed successfully, separating over a six-minute span beginning 56.5 minutes after liftoff, SpaceX announced via social media. While that Falcon 9 was powering its way to low Earth orbit, another one launched from Vandenberg Space Force Base, on California's central coast. That liftoff, at 9:50 p.m. EDT (6:50 p.m. local time; 0150 GMT on Aug. 16), kicked off a mission for the U.S. Space Force called USSF-366...

Both of Saturday's missions featured successful rocket landings. The Falcon 9 first stage that launched the Globalstar mission came back for a touchdown at Cape Canaveral about eight minutes after launch. It was the 14th flight for that particular booster. The USSF-366 Falcon 9 first stage, meanwhile, came back to Earth about 8.5 minutes after its launch, touching down in the Pacific Ocean on the SpaceX droneship "Of Course I Still Love You." That booster now has 18 missions under its belt.

Saturday's doubleheader brought the tally of Falcon 9 launches in 2026 to 96. The vast majority of those — about 75% — have been Starlink missions.

Phys.org reports: Future fusion power plants aim to recreate the heart of a star here on Earth to power our future energy needs. While the core fusion plasma will burn at hundreds of millions of degrees, the surrounding structural components must handle sudden, punishing heat loads that rival the extreme temperatures faced by spacecraft upon reentry into Earth's atmosphere. Copper and its alloys are primary candidates for handling these intense heat fluctuations, making it vital to understand exactly how the metal behaves when pushed to its melting point.

Now, researchers at the Department of Energy's SLAC National Accelerator Laboratory and collaborators have captured a detailed, step-by-step look at copper atoms as they underwent extreme heating. Published in Nature Communications, the results revealed a key parameter that allowed copper's crystal lattice to melt steadily rather than collapse instantaneously, as earlier simulations predicted. "These results greatly improve the simulations we use to predict which materials have the best shot at surviving the extreme conditions of future fusion reaction chambers," said Mianzhen Mo, a SLAC staff scientist who led the research. "They also demonstrate the incredible, atomic-scale resolution imaging we can achieve at SLAC's electron camera...."

Researchers use computer simulations, aided by AI and machine learning, to sift through innumerable combinations of elements and identify promising candidate materials for real-world testing.
"Whether the copper melts slowly or suddenly collapses, by the time the researchers look, the sample resembles nothing more than a metallic brown puddle," the article points out. But SLAC's powerful electron camera captures atomic and molecular movements down to the femtosecond — a millionth of a billionth of a second — and revealed that at around 1,424 degreesC (2,595 degreesF) there was still gradual melting as the temperature rose beyond the superheating limit, with real-world conditions showing the atoms shifted and retained some order.

"It's a straightforward solution," said Mianzhen Mo, a SLAC staff scientist who led the research. "But molecular dynamics simulations had been overlooking it for years. When you have complex simulations attempting to capture every aspect of reality, down to individual atoms, it takes real-world data to show you what's missing from the calculations."

Astronomers using the James Webb Space Telescope say they may have found a new class of object: a "black hole star," in which a black hole is wrapped in dense gas and radiates in ways that resemble an enormous star. The Guardian reports: The international team made the breakthrough after focusing their attention on a mysterious red spot in images of the early universe captured by Nasa's James Webb space telescope. The object was lurking in the constellation of Cetus, the Whale, billions of light years from Earth. It is thought to have formed 660m years after the big bang, astronomers' leading theory as to how the universe began. Measurements of the exotic body found that while it resembles an immense star, it releases 100bn times more energy than any known star can produce. The energy output is far closer to that observed from black holes than stars. The findings have been published in the journal Nature.

Astronomers using JWST have found three actively feeding supermassive black holes in the distant galaxy J0148-4214, seen as it existed about 1.2 billion years after the Big Bang. Two sit just 620 light-years apart near the galaxy's center and are expected to merge within a few hundred million years. Phys.org reports: Theories of galaxy evolution -- based on observations -- suggest that, early in the history of the universe, galaxies came very close to one another and merged. In the process, black holes at their centers also merged, giving rise to even more massive black holes at the centers of the merged galaxies. The analysis yields black hole masses of approximately 80 million, 0.6 million and 2 million solar masses. The most massive black hole is accreting at a lower rate than the nearby black hole with a mass of 0.6 million solar masses, which is actively feeding and even exceeding the maximum accretion rate predicted by basic theories of black hole growth (the Eddington limit).

"The JWST data allowed us not only to identify the three black holes, but also to estimate their masses, accretion rates and the stellar mass of the galaxy," says Dr. Giovanni Mazzolari, second author of the study and researcher at MPE. "We find a total stellar mass of about 1.3 billion solar masses, and the black holes represent a significant fraction of that."

The central black hole pair is expected to merge within the next few hundred million years. "These results are extremely exciting," adds Roberto Maiolino, professor at the University of Cambridge and co-author of the study. "They suggest that black hole merging may be an additional, fast route for their rapid growth in the early universe." The third black hole, located off-nucleus, may be the remnant of a previous merger, be displaced from the center by a gravitational recoil kick, or be currently migrating inward. The findings have been published in the journal Astronomy & Astrophysics.

alternative_right shares a report from ScienceDaily: Researchers have found a clever new way to map a part of Earth's upper atmosphere that is notoriously difficult to observe. Using orbital data from roughly 1,200 Starlink satellites, they reconstructed changes in atmospheric density about 500 kilometers above Earth. [...] The resulting density patterns also showed strong consistency with observations from the European Space Agency's SWARM satellites, which measure changes in atmospheric density along their orbital paths.

The work expands on an earlier study by the same team. In that research, scientists estimated how thermospheric density changed over time and altitude using general orbital information called Two-Line Element, or TLE, data from Starlink satellites. The new analysis adds another dimension by examining how density varies horizontally across latitude and longitude, revealing more of the thermosphere's geographic structure.

The findings could have practical benefits as the number of objects orbiting Earth continues to grow. More accurate information about atmospheric density can improve predictions of satellite motion, helping reduce the chance of collisions between satellites and between satellites and space debris. The technique could also eventually support near-real-time measurements of atmospheric density around satellites. Such monitoring could improve space weather forecasting and contribute to safer, more dependable satellite operations in the future.

An anonymous reader quotes a report from The Guardian: Miniature human organs and other tissues are to be grown from NHS patients' cells in a drive to improve medicine testing and reduce the number of animals used in drug development. Scientists will use the clumps of tissue to learn how diseases vary between patients, helping them identify which treatments are best for different people based on the particular pathology underlying their condition. The move marks a shift away from the traditional use of animals as models for human disease, towards what researchers believe will be more accurate and reliable tests based directly on human tissues.

Researchers have been growing tiny clumps of human organs, known as organoids, for more than a decade. Tests show that pieces smaller than a millimeter can mirror key features of full-scale organs and tissues, including how they falter with disease and respond to drugs. Armed with organoids grown from diseased human tissues, scientists can investigate whether new drug candidates reverse pathological changes in all or a subset of patients, and quickly identify ineffective drugs early in the process. Historically, more than 90% of drugs that clear animal testing go on to fail in human trials, raising questions about the value of the tests. US and European medicines regulators now encourage other approaches if available. "It's going to have a major impact on the numbers of animals used and the way we develop new drugs in the future," said Matthias Zilbauer, a clinical professor of paediatric gastroenterology at the Cambridge Stem Cell Institute. "We're not saying there won't be any animal use in the near or foreseeable future, because there are still certain issues that cannot be tested in these new models, but the reduction is very real."

"A lot of human diseases either do not occur in animals or occur in a different way because they're not human," added Zilbauer. "We want tests and models that can tell us which treatments work, and in what patients, and a mouse cannot tell us that."

Longtime Slashdot reader sbinning shares a press release: The U.S. Department of Veterans Affairs announced the launch of a new clinical trial to evaluate the effectiveness and safety of psilocybin to treat major depression in Veterans, including those with concurrent PTSD. The new trial comes after a recent executive order on "Accelerating Medical Treatments for Serious Mental Illness," which aims to increase clinical trial participation and accelerate innovative research models and drug approvals for psychedelic drugs.

[...] The randomized, controlled trial will enroll Veterans diagnosed with treatment-resistant major depressive disorder, with or without concurrent PTSD, and will compare outcomes between two psilocybin dosage levels. The study will also assess participants' levels of depression before and after treatment, tolerability of side effects, and overall patient-reported depression. [...] In addition to this trial, VA is involved in 20 active clinical trials focused on psychedelic therapies for mental health conditions. All VA research -- including research into psychedelics -- is conducted under strict safety protocols and in full compliance with federal guidelines.

After 13 years of observations and data processing, astronomers have released the largest two-dimensional map of the universe ever assembled, "offering a sweeping new view of nearly 4 billion celestial objects across roughly three-quarters of the sky," reports Space.com. From the report: The new map, created by the Dark Energy Spectroscopic Instrument (DESI) Legacy Imaging Surveys team, contains a staggering 5.6 trillion pixels and combines more than 263,000 telescope exposures collected over more than a decade. The observations span visible and near-infrared wavelengths, providing an enormous portrait of stars, galaxies and other cosmic phenomena across the sky, according to a statement from the National Science Foundation (NSF) NOIRLab. "It's part of the fabric of astronomy research now," David Schlegel, co-lead of the Legacy Surveys and a scientist at the U.S. Department of Energy's Lawrence Berkeley National Laboratory, said in a statement. "When you're working with astronomical objects today, you often start by pulling up the Legacy Imaging Viewer to see what you're looking at."

Wired reports that consumer neurotechnology is rapidly moving from the lab into workplaces and homes, with companies including Apple, Meta, and Snap developing products that can monitor or interpret brain activity. Researchers warn that as these systems improve, neural data could become the next major privacy battleground. Some neuroscientists are already calling for a series of core rights, coined "neurorights," that protect "mental privacy," "identity," and personal "agency." Here's an excerpt from the article: Over the past two decades, researchers using functional magnetic resonance imaging (fMRI), which tracks the iron in the hemoglobin supplying oxygen to neurons, have been building up increasingly detailed maps and inventories of the mammalian cortex. Thanks to huge advances in machine-learning artificial intelligence -- computer algorithms that are able to sort through enormous amounts of information and use statistical methods to make classifications and predictions -- fMRI scans can now be used to identify everything from depressive thoughts to the nuanced feelings of envy and schadenfreude. Other algorithms have been able to accurately piece together reconstructions of movie clips watched by subjects, just by analyzing their brain scans; or have detected, in probing the brain activity of swing voters in the US presidential election, responding to photographs and videos of presidential candidates, which candidates provoked anxiety or even disgust, and which elicited positive responses or feelings of empathy.

In just the last few years, neuroscience researchers have progressed from decoding images and emotions as they play across the cortex to sounds, words, phrases, and even language. In 2023, in a remarkable demonstration of this emerging technology, a woman called Ann Johnson, who had been paralyzed for 18 years by a brain-stem stroke, was able to speak again through the insertion of a grid of 253 electrodes onto the surface of her brain, which translated her neuronal signals into sentences, in real time, at a rate of 78 words per minute (just about half the speed of standard conversation). The research team at the University of California, led by neurosurgeon Edward Chang, had combined this brain-computer interface with an animated avatar of Johnson's head, which spoke in her own voice, as reconstructed from a recording of a 15-minute toast she had given at her wedding. Just as the avatar's mouth spoke Johnson's words as she thought them, so its expressions were similarly influenced by the nuances of her brain activity, which turned her thoughts about facial gestures into displays of emotion -- from smiles to pursed lips and frowns.

[...] The more invasive the recording equipment, the richer and more detailed the data. Surgical interventions are at the vanguard of neuroscience and remain very rare -- fewer than 100 people on the planet have brain-computer interfaces like Johnson's embedded beneath their skulls. Yet almost inevitably, a concerted trickle-down effect is occurring. In the summer of 2023, a team at the University of Texas demonstrated that they could use fMRI to translate brain scans into words and sentences, after subjects listened to 16 hours of the storytelling podcasts The Moth Radio Hour and The New York Times' Modern Love to train an AI model. When the subjects then listened to new podcasts, the algorithm was able to convert the gist of what they heard, as it manifested in their brains, into words, phrases, and sentences that roughly captured the stories. As the team's lead computational neuroscientist, Alexander Huth, put it in an interview with Science, "Our thought when we actually had this working was, 'Oh my God, this is kind of terrifying.'" Now noninvasive, wearable brain scanners are beginning to proliferate beyond the lab, making their way into our workplaces and, through the vast global consumer market, into our homes too.

alternative_right shares a report from Phys.org: Scientists from the Czech Republic have created microscopic cleanup robots that successfully removed microplastics from both soil and aquatic environments in the lab. Details of their work are published in the journal npg Asia Materials. To build the robots, researchers started with microscopic MXene particles made of ultrathin, stacked layers. The material has a large surface area and surface chemistry that help it attract and hold plastic. They then coated the particles with magnetic nickel nanoparticles so rotating magnetic fields could drive the tiny robots.

Then came the testing phase. The team placed swarms of these microbots into water and soil samples contaminated with plastic. The externally generated magnetic fields made the robots spin and tumble through the liquid and squeeze through tiny water-filled gaps in the soil. "In soil environments, the microrobots can navigate through water-permeated soil microenvironments, actively disrupt microplastic entrapment within soil matrices, and extract them," the study authors commented in their paper. As they moved, their sticky surfaces collided with microplastics, binding to them and dragging them along. The researchers then used a magnet to pull the microrobots, along with their trapped plastic cargo, out of the samples.

They performed well. In water, they removed about 94% of test polystyrene particles and 89% of PET (polyethylene terephthalate) in around an hour. In the model soil, they removed about 81% of the polystyrene and 72% of PET. This outperformed the same MXene material used without magnetic motion, which relied on passive adsorption rather than actively moving through soil and water.

sciencehabit shares a report from Science Magazine: For more than half a century, physicists have searched for one of the strangest particles predicted by modern theory. It would be made almost entirely of gluons, the elusive subatomic particles that carry the strong nuclear force. Now, using a particle collider in Beijing, researchers say they have effectively proved the existence of such a "glueball."

In a preprint posted last month on arXiv and in a presentation last week at the International Conference on High Energy Physics (ICHEP), the researchers argue that a particle called X(2370), which they produced by smashing electrons into positrons at high energies, has the properties expected of a glueball. "It's an experimental triumph," says Colin Morningstar, a particle physicist at Carnegie Mellon University who was not involved in the finding. "It's the strongest evidence yet that particles dominated by a glueball component can exist in nature."

An anonymous reader quotes a report from the BBC: England is on track to become one of the first countries in the world to eliminate hepatitis C, a dangerous virus that attacks the liver, figures show. The target of treating 80% of all known cases has already been met, and deaths from the virus have fallen by 36% in the last decade, just short of what is needed by 2030. Taking antiviral tablets for 8 to 12 weeks can cure more than 95% of cases. Initiatives including A&E blood tests, GP registration testing and free at-home tests have helped to find people who were previously undiagnosed, says NHS England.

NHS England says that since 2015, more than 100,000 people have been diagnosed and treated for hepatitis C, meaning the country is already meeting that target. Another goal -- a 65% reduction in hepatitis C-related mortality compared with 2015 levels -- has yet to be met, but might be before the 2030 target date. Around 50,200 adults are living with hepatitis C, figures for England in 2024 suggest. Estimates indicate 84.6% of those living with hepatitis C have been diagnosed -- just short of the 90% target. The Hepatitis C Trust says England is "on the cusp" of one of the most significant public health achievements in our country's history.

An anonymous reader shares a report from The Conversation, written by Hatim Sharif, a civil and environmental engineer who has "spent more than two decades staring at maps" and spatial data. Sharif finds one connection especially fascinating: the link between spatial reasoning and why taxi drivers seem to have lower rates of Alzheimer's. From the report: Taxi and ambulance drivers are less likely than workers in almost any other job to die of Alzheimer's disease. That was the surprising result of a 2024 study examining the death certificates of nearly 9 million people in the U.S. [...] Of the 9 million death certificates from January 2020 to December 2022 that researchers examined, taxi and ambulance drivers had the lowest risk of dying from Alzheimer's disease out of 443 occupations. After adjusting for age, sex, race, ethnicity and education, roughly 1 in 100 taxi and ambulance drivers died of Alzheimer's, compared with 1 in 60 people overall. This pattern did not extend to other driving jobs.

The researchers concluded that the key to reducing the risk of Alzheimer's was not driving itself but continuous real-time navigation: the constant work of locating yourself in space, tracking a destination and updating a mental map as conditions change. Drivers whose jobs relied on fixed or predetermined routes, like bus drivers and aircraft pilots, didn't seem to experience a similar advantage. Researchers believe the association between navigation-heavy work and lower Alzheimer's risk centers on the hippocampus, a part of the brain that governs memory and spatial navigation. It's one of the first brain regions that Alzheimer's damages: Problems with spatial navigation and orientation are among the earliest signs of the disease, sometimes surfacing before obvious memory loss.

In one landmark 2000 study, neuroscientists compared the brains of licensed London taxi drivers with those of people who did not drive cabs. Their findings provided the first evidence via structural imaging that regions of the adult brain can measurably change under sustained navigational demand. To earn a license, London cabbies must memorize more than 25,000 streets within a 6-mile radius of Charing Cross, a challenge known as "The Knowledge" that takes three to four years.

The researchers found that London taxi drivers had measurably more gray matter in the posterior hippocampus, a brain area tied to storing large-scale spatial maps. That volume tracked with experience: The longer someone had driven, the larger that part of the brain. The change was built through practice, not inherited. While people who are good at navigation might gravitate to this kind of job, the job itself does have an impact on the brain. Together, these two studies make a coherent case: Work that intensively exercises the hippocampus may reshape it, and that reshaping may protect against one of the most feared diseases of aging.

Researchers believe they've found evidence that brain signals reveal the pitches of notes in imagined musical melodies, reports Medical Express: Study participants were 10 epilepsy patients with electrodes on the surfaces of their brains for clinical monitoring. Participants quietly listened to the first bars of children's tunes, then imagined the melodies of subsequent bars before humming their imagined melodies. Brain activity from the patients carried information about relative pitches within the imagined melodies. Combining note-level pitch predictions over time allowed the research team to recreate melodic changes that reflected the structure of the imagined songs...

"The model we created decodes relative pitch classes — such as do, re, mi, fa, sol, and la — rather than exact, absolute pitches," [said tudy co-lead Jii Kwon of Seoul National University]. "This is useful because people often recognize melodies by the relationships between notes, even when the same melody is played in a different key."

A South Korean lunar orbiter has captured the first before-and-after images of the Moon's crash scene caused by a stray SpaceX Falcon 9 rocket. The Associated Press reports: The Korea Aerospace Research Institute's Danuri spacecraft flew over the impact site soon after the Falcon 9 upper stage inadvertently plowed into the moon on Wednesday. Danuri made multiple passes, snapping photos from lunar orbit that were released by the space agency Thursday. The terrain is noticeably darker where the rocket hit and carved out a crater, sending dust and rock everywhere. Korean space officials said Danuri gathered before and after shots. NASA expects its Lunar Reconnaissance Orbiter to fly over the crash site next week to view the aftermath. You can view the images here.