An anonymous reader shares a report: These cafes had all adopted similar aesthetics and offered similar menus, but they hadn't been forced to do so by a corporate parent, the way a chain like Starbucks replicated itself. Instead, despite their vast geographical separation and total independence from each other, the cafes had all drifted toward the same end point. The sheer expanse of sameness was too shocking and new to be boring. Of course, there have been examples of such cultural globalisation going back as far as recorded civilisation. But the 21st-century generic cafes were remarkable in the specificity of their matching details, as well as the sense that each had emerged organically from its location. They were proud local efforts that were often described as "authentic," an adjective that I was also guilty of overusing. When travelling, I always wanted to find somewhere "authentic" to have a drink or eat a meal.

If these places were all so similar, though, what were they authentic to, exactly? What I concluded was that they were all authentically connected to the new network of digital geography, wired together in real time by social networks. They were authentic to the internet, particularly the 2010s internet of algorithmic feeds. In 2016, I wrote an essay titled Welcome to AirSpace, describing my first impressions of this phenomenon of sameness. "AirSpace" was my coinage for the strangely frictionless geography created by digital platforms, in which you could move between places without straying beyond the boundaries of an app, or leaving the bubble of the generic aesthetic. The word was partly a riff on Airbnb, but it was also inspired by the sense of vaporousness and unreality that these places gave me. They seemed so disconnected from geography that they could float away and land anywhere else. When you were in one, you could be anywhere.

My theory was that all the physical places interconnected by apps had a way of resembling one another. In the case of the cafes, the growth of Instagram gave international cafe owners and baristas a way to follow one another in real time and gradually, via algorithmic recommendations, begin consuming the same kinds of content. One cafe owner's personal taste would drift toward what the rest of them liked, too, eventually coalescing. On the customer side, Yelp, Foursquare and Google Maps drove people like me -- who could also follow the popular coffee aesthetics on Instagram -- toward cafes that conformed with what they wanted to see by putting them at the top of searches or highlighting them on a map. To court the large demographic of customers moulded by the internet, more cafes adopted the aesthetics that already dominated on the platforms. Adapting to the norm wasn't just following trends but making a business decision, one that the consumers rewarded. When a cafe was visually pleasing enough, customers felt encouraged to post it on their own Instagram in turn as a lifestyle brag, which provided free social media advertising and attracted new customers. Thus the cycle of aesthetic optimisation and homogenisation continued.

Dan Rockmore, the director of the Neukom Institute for Computational Sciences at Dartmouth College, writing for The New Yorker: Recently, statistical modelling has taken on a new kind of importance as the engine of artificial intelligence -- specifically in the form of the deep neural networks that power, among other things, large language models, such as OpenAI's G.P.T.s. These systems sift vast corpora of text to create a statistical model of written expression, realized as the likelihood of given words occurring in particular contexts. Rather than trying to encode a principled theory of how we produce writing, they are a vertiginous form of curve fitting; the largest models find the best ways to connect hundreds of thousands of simple mathematical neurons, using trillions of parameters.They create a vast data structure akin to a tangle of Christmas lights whose on-off patterns attempt to capture a chunk of historical word usage. The neurons derive from mathematical models of biological neurons originally formulated by Warren S. McCulloch and Walter Pitts, in a landmark 1943 paper, titled "A Logical Calculus of the Ideas Immanent in Nervous Activity." McCulloch and Pitts argued that brain activity could be reduced to a model of simple, interconnected processing units, receiving and sending zeros and ones among themselves based on relatively simple rules of activation and deactivation.

The McCulloch-Pitts model was intended as a foundational step in a larger project, spearheaded by McCulloch, to uncover a biological foundation of psychiatry. McCulloch and Pitts never imagined that their cartoon neurons could be trained, using data, so that their on-off states linked to certain properties in that data. But others saw this possibility, and early machine-learning researchers experimented with small networks of mathematical neurons, effectively creating mathematical models of the neural architecture of simple brains, not to do psychiatry but to categorize data. The results were a good deal less than astonishing. It wasn't until vast amounts of good data -- like text -- became readily available that computer scientists discovered how powerful their models could be when implemented on vast scales. The predictive and generative abilities of these models in many contexts is beyond remarkable. Unfortunately, it comes at the expense of understanding just how they do what they do. A new field, called interpretability (or X-A.I., for "explainable" A.I.), is effectively the neuroscience of artificial neural networks.

This is an instructive origin story for a field of research. The field begins with a focus on a basic and well-defined underlying mechanism -- the activity of a single neuron. Then, as the technology scales, it grows in opacity; as the scope of the field's success widens, so does the ambition of its claims. The contrast with climate modelling is telling. Climate models have expanded in scale and reach, but at each step the models must hew to a ground truth of historical, measurable fact. Even models of covid or elections need to be measured against external data. The success of deep learning is different. Trillions of parameters are fine-tuned on larger and larger corpora that uncover more and more correlations across a range of phenomena. The success of this data-driven approach isn't without danger. We run the risk of conflating success on well-defined tasks with an understanding of the underlying phenomenon -- thought -- that motivated the models in the first place.

Part of the problem is that, in many cases, we actually want to use models as replacements for thinking. That's the raison detre of modelling -- substitution. It's useful to recall the story of Icarus. If only he had just done his flying well below the sun. The fact that his wings worked near sea level didn't mean they were a good design for the upper atmosphere. If we don't understand how a model works, then we aren't in a good position to know its limitations until something goes wrong. By then it might be too late. Eugene Wigner, the physicist who noted the "unreasonable effectiveness of mathematics," restricted his awe and wonder to its ability to describe the inanimate world. Mathematics proceeds according to its own internal logic, and so it's striking that its conclusions apply to the physical universe; at the same time, how they play out varies more the further that we stray from physics. Math can help us shine a light on dark worlds, but we should look critically, always asking why the math is so effective, recognizing where it isn't, and pushing on the places in between.

Researchers have developed a way to apply quantum measurement to something no matter its mass or energy. "Our proposed experiment can test if an object is classical or quantum by seeing if an act of observation can lead to a change in its motion," says physicist Debarshi Das from UCL. ScienceAlert reports: Quantum physics describes a Universe where objects aren't defined by a single measurement, but as a range of possibilities. An electron can be spinning up and down, or have a high chance of existing in some areas more than others, for example. In theory, this isn't limited to tiny things. Your own body can in effect be described as having a very high probability of sitting in that chair and a very (very!) low probability of being on the Moon. There is just one fundamental truth to remember -- you touch it, you've bought it. Observing an object's quantum state, whether an electron, or a person sitting in a chair, requires interactions with a measuring system, forcing it to have a single measurement. There are ways to catch objects with their quantum pants still down, but they require keeping the object in a ground state -- super-cold, super-still, completely cut off from its environment. That's tricky to do with individual particles, and it gets a lot more challenging as the size of the scale goes up.

The new proposal uses an entirely novel approach, one that uses a combination of assertions known as Leggett-Garg Inequalities and No-Signaling in Time conditions. In effect, these two concepts describe a familiar Universe, where a person on a chair is sitting there even if the room is dark and you can't see them. Switching on the light won't suddenly reveal they're actually under the bed. Should an experiment find evidence that somehow conflicts with these assertions, we just might be catching a glimpse of quantum fuzziness on a larger scale.

The team proposes that objects can be observed as they oscillate on a pendulum, like a ball at the end of a piece of string. Light would then be flashed at the two halves of the experimental setup at different times -- counting as the observation -- and the results of the second flash would indicate if quantum behavior was happening, because the first flash would affect whatever was moving. We're still talking about a complex setup that would require some sophisticated equipment, and conditions akin to a ground state -- but through the use of motion and two measurements (light flashes), some of the restrictions on mass are removed. [...] "The next step is to try this proposed setup in an actual experiment," concludes the reports. "The mirrors at the Laser Interferometer Gravitational-Wave Observatory (LIGO) in the US have already been proposed as suitable candidates for examination."

"Those mirrors act as a single 10-kilogram (22-pound) object, quite a step up from the typical size of objects analyzed for quantum effects -- anything up to about a quintillionth of a gram."

The findings have been published in the journal Physical Review Letters.

Private equity firms are increasingly buying hospitals across the US, and when they do, patients suffer, according to two separate reports. Specifically, the equity firms cut corners, slash services, lay off staff, lower quality of care, take on substantial debt, and reduce charity care, leading to lower ratings and more medical errors, the reports collectively find. ArsTechnica: Last week, the financial watchdog organization Private Equity Stakeholder Project (PESP) released a report delving into the state of two of the nation's largest hospital systems, Lifepoint and ScionHealth -- both owned by private equity firm Apollo Global Management. Through those two systems, Apollo runs 220 hospitals in 36 states, employing around 75,000 people. The report found that some of Apollo's hospitals were among the worst in their respective states, based on a ranking by The Lown Institute Hospital Index. The index ranks hospitals and health systems based on health equity, value, and outcomes, PESP notes. The hospitals also have dismal readmission rates and government rankings.

The Center for Medicare and Medicaid Services (CMS) ranks hospitals on a one- to five-star system, with the national average of 3.2 stars overall and about 30 percent of hospitals at two stars or below. Apollo's overall average is 2.8 stars, with nearly 40 percent of hospitals at two stars or below. The other report, a study published in JAMA late last month, found that the rate of serious medical errors and health complications increases among patients in the first few years after private equity firms take over. The study examined Medicare claims from 51 private equity-run hospitals and 259 matched control hospitals. Specifically, the study, led by researchers at Harvard University, found that patients admitted to private equity-owned hospitals had a 25 percent increase in developing hospital-acquired conditions compared with patients in the control hospitals. In private equity hospitals, patients experienced a 27 percent increase in falls, a 38 percent increase in central-line bloodstream infections (despite placing 16 percent fewer central lines than control hospitals), and surgical site infections doubled.

With NASA's Artemis moon program now targeting September 2025 for its Artemis 2 mission and September 2026 for Artemis 3, some members of Congress are concerned about the potential repercussions, particularly with China's growing ambitions in lunar exploration. "For the United States and its partners not to be on the moon when others are on the moon is unacceptable," said Mike Griffin, former NASA administrator. "We need a program that is consistent with that theme. Artemis is not that program. We need to restart it, not keep it on track." Space.com reports: The U.S. House of Representatives' Committee on Science, Space and Technology held a hearing about the new Artemis plan today (Jan. 17), and multiple members voiced concern about the slippage. "I remind my colleagues that we are not the only country interested in sending humans to the moon," Committee Chairman Frank Lucas (R-OK) said in his opening remarks. "The Chinese Communist Party is actively soliciting international partners for a lunar mission -- a lunar research station -- and has stated its ambition to have human astronauts on the surface by 2030," he added. "The country that lands first will have the ability to set a precedent for whether future lunar activities are conducted with openness and transparency, or in a more restricted manner."

The committee's ranking member, California Democrat Zoe Lofgren (D-CA), voiced similar sentiments. "Let me be clear: I support Artemis," she said in her opening remarks. "But I want it to be successful, especially with China at our heels. And we want to be helpful here in the committee in ensuring that Artemis is strong and staying on track as we look to lead the world, hand-in-hand with our partners, in the human exploration of the moon and beyond." Several other committee members stressed that the new moon race is part of a broader competition with China, and that coming in second could imperil U.S. national security.

"It's no secret that China has a goal to surpass the United States by 2045 as global leaders in space. We can't allow this to happen," Rich McCormick (R-GA) said during the hearing. "I think the leading edge that we have in space technology will protect the United States -- not just the economy, but technologies that can benefit humankind." And Bill Posey (R-FL) referred to space as the "ultimate military high ground," saying that whoever leads in the final frontier "will control the destiny of this Earth."

An anonymous reader quotes a report from MIT Technology Review: Google DeepMind has created an AI system that can solve complex geometry problems. It's a significant step towards machines with more human-like reasoning skills, experts say. Geometry, and mathematics more broadly, have challenged AI researchers for some time. Compared with text-based AI models, there is significantly less training data for mathematics because it is symbol driven and domain specific, says Thang Wang, a coauthor of the research, which is published in Nature today. Solving mathematics problems requires logical reasoning, something that most current AI models aren't great at. This demand for reasoning is why mathematics serves as an important benchmark to gauge progress in AI intelligence, says Wang.

DeepMind's program, named AlphaGeometry, combines a language model with a type of AI called a symbolic engine, which uses symbols and logical rules to make deductions. Language models excel at recognizing patterns and predicting subsequent steps in a process. However, their reasoning lacks the rigor required for mathematical problem-solving. The symbolic engine, on the other hand, is based purely on formal logic and strict rules, which allows it to guide the language model toward rational decisions. These two approaches, responsible for creative thinking and logical reasoning respectively, work together to solve difficult mathematical problems. This closely mimics how humans work through geometry problems, combining their existing understanding with explorative experimentation.

DeepMind says it tested AlphaGeometry on 30 geometry problems at the same level of difficulty found at the International Mathematical Olympiad, a competition for top high school mathematics students. It completed 25 within the time limit. The previous state-of-the-art system, developed by the Chinese mathematician Wen-Tsun Wu in 1978, completed only 10. "This is a really impressive result," says Floris van Doorn, a mathematics professor at the University of Bonn, who was not involved in the research. "I expected this to still be multiple years away." DeepMind says this system demonstrates AI's ability to reason and discover new mathematical knowledge. "This is another example that reinforces how AI can help us advance science and better understand the underlying processes that determine how the world works," said Quoc V. Le, a scientist at Google DeepMind and one of the authors of the research, at a press conference.

Cancer deaths in the United States are falling, with four million deaths prevented since 1991, according to the American Cancer Society's annual report. At the same time, the society reported that the number of new cancer cases had ticked up to more than two million in 2023, from 1.9 million in 2022. The New York Times: Cancer remains the second leading cause of death in the United States, after heart disease. Doctors believe that it is urgent to understand changes in the death rate, as well as changes in cancer diagnoses. The cancer society highlighted three chief factors in reduced cancer deaths: declines in smoking, early detection and greatly improved treatments. Breast cancer mortality is one area where treatment had a significant impact. In the 1980s and 1990s, metastatic breast cancer "was regarded as a death sentence," said Donald Berry, a statistician at the University of Texas MD Anderson Cancer Center and an author of a new paper on breast cancer with Sylvia K. Plevritis of Stanford University and other researchers (several authors of the paper reported receiving payments from companies involved in cancer therapies).

The paper, published Tuesday in JAMA, found that the death rate from breast cancer had fallen to 27 per 100,000 women in 2019 from 48 per 100,000 in 1975. That includes metastatic cancer, which counted for nearly 30 percent of the reduction in the breast cancer death rate. Breast cancer treatment has improved so much that it has become a bigger factor than screening in saving lives, said Ruth Etzioni, a biostatistician at the Fred Hutchinson Cancer Center. Death rates have even declined among women in their 40s, who generally did not have regular mammograms, said Dr. Mette Kalager, a professor of medicine at the University of Oslo and Oslo University Hospital, "indicating a substantial effect of treatment," she said.

In a new paper published in the journal Science Progress, author Joseph Merz argues that climate issues are symptoms of ecological overshoot, driven by exploited human behaviors such as overconsumption, waste, and population growth. The paper emphasizes the need to change societal norms and behaviors through various means, including using marketing and media strategies to promote sustainable living, rather than solely focusing on technological or policy solutions. The Guardian reports: Merz and colleagues believe that most climate "solutions" proposed so far only tackle symptoms rather than the root cause of the crisis. This, they say, leads to increasing levels of the three "levers" of overshoot: consumption, waste and population. They claim that unless demand for resources is reduced, many other innovations are just a sticking plaster. "We can deal with climate change and worsen overshoot," says Merz. "The material footprint of renewable energy is dangerously underdiscussed. These energy farms have to be rebuilt every few decades -- they're not going to solve the bigger problem unless we tackle demand."

"Overshoot" refers to how many Earths human society is using up to sustain -- or grow -- itself. Humanity would currently need 1.7 Earths to maintain consumption of resources at a level the planet's biocapacity can regenerate. Where discussion of climate often centers on carbon emissions, a focus on overshoot highlights the materials usage, waste output and growth of human society, all of which affect the Earth's biosphere. "Essentially, overshoot is a crisis of human behavior," says Merz. "For decades we've been telling people to change their behavior without saying: 'Change your behavior.' We've been saying 'be more green' or 'fly less', but meanwhile all of the things that drive behavior have been pushing the other way. All of these subtle cues and not so subtle cues have literally been pushing the opposite direction -- and we've been wondering why nothing's changing."

The paper explores how neuropsychology, social signaling and norms have been exploited to drive human behaviors which grow the economy, from consuming goods to having large families. The authors suggest that ancient drives to belong in a tribe or signal one's status or attract a mate have been co-opted by marketing strategies to create behaviors incompatible with a sustainable world. "People are the victims -- we have been exploited to the point we are in crisis. These tools are being used to drive us to extinction," says the evolutionary behavioral ecologist and study co-author Phoebe Barnard. "Why not use them to build a genuinely sustainable world?" Just one-quarter of the world population is responsible for nearly three-quarters of emissions. The authors suggest the best strategy to counter overshoot would be to use the tools of the marketing, media and entertainment industries in a campaign to redefine our material-intensive socially accepted norms. "We're talking about replacing what people are trying to signal, what they're trying to say about themselves. Right now, our signals have a really high material footprint -- our clothes are linked to status and wealth, their materials sourced from all over the world, shipped to south-east Asia most often and then shipped here, only to be replaced by next season's trends. The things that humans can attach status to are so fluid, we could be replacing all of it with things that essentially have no material footprint -- or even better, have an ecologically positive one."

Japanese startup EX-Fusion plans to eliminate small pieces of space junk with laser beams fired from the ground. Nikkei Asia reports: EX-Fusion stands apart in that it is taking the ground-based approach, with the startup tapping its arsenal of laser technology originally developed in pursuit of fusion power. In October, EX-Fusion signed a memorandum of understanding with EOS Space Systems, an Australian contractor that possesses technology used to detect space debris. EX-Fusion plans to place a high-powered laser inside an observatory operated by EOS Space outside of Canberra. The first phase will be to set up laser technology to track debris measuring less than 10 cm. Pieces of this size have typically been difficult to target from the ground using lasers.

For the second phase, EX-Fusion and EOS Space will attempt to remove the space debris by boosting the power of the laser beams fired from the surface. The idea is to fire the laser intermittently against the debris from the opposing direction of its travel in order to slow it down. With a decreased orbiting speed, the debris will enter the Earth's atmosphere to burn up. High-powered lasers are often associated with weapons that blast objects into smithereens. Indeed, the EOS Space group supplies laser weapon systems used to destroy drones. But lasers designed to remove space debris are completely different from weapon-grade lasers, EOS Space's executive vice president James Bennett said during a visit to Japan in November.

Current laser weaponry often uses fiber lasers, which are capable of cutting and welding metal and can destroy targets like drones through heat created from continuous firing. Capturing and removing space junk instead involves diode-pumped solid-state (DPSS) lasers, which are pulsed to apply force to fast moving debris, stopping it like a brake. EX-Fusion's signature laser fusion process also involves DPSS lasers, which strike the surface of a hydrogen fuel pellet just millimeters in diameter, compressing it to trigger a fusion reaction. This makes space debris removal a useful test along the path to commercializing the fusion technology.

GPS data reveal that young people encounter fewer individuals from diverse groups than do adults. The isolation of young people is exacerbated in larger cities, and for those living in poverty. Abstract from a paper: We find that students in major metropolitan areas experience more racial and income isolation, spend more time at home, stay closer to home when they do leave, and visit fewer restaurants and retail establishments than adults. Looking across levels of income, students from higher-income families visit more amenities, spend more time outside of the home, and explore more unique locations than low-income students. Combining a number of measures into an index of urban mobility, we find that, conditional on income, urban mobility is positively correlated with home neighborhood characteristics such as distance from the urban core, car ownership and social capital.

ScienceAlert reminds us that plants exude "a fine mist of airborne compounds that they use to communicate and protect themselves." And while they've been detected in over 80 plant species, now researchers have applied real-time imaging techniques "to reveal how plants receive and respond to these aerial alarms." Yuri Aratani and Takuya Uemura, molecular biologists at Saitama University in Japan, and colleagues rigged up a pump to transfer compounds emitted by injured and insect-riddled plants onto their undamaged neighbors, and a fluorescence microscope to watch what happened. Caterpillars (Spodoptera litura) were set upon leaves cut from tomato plants and Arabidopsis thaliana, a common weed in the mustard family, and the researchers imaged the responses of a second, intact, insect-free Arabidopsis plant to those danger cues.

These plants weren't any ordinary weeds: they had been genetically altered so their cells contained a biosensor that fluoresced green when an influx of calcium ions was detected... [T]he team visualized how plants responded to being bathed in volatile compounds, which plants release within seconds of wounding. It wasn't a natural set-up; the compounds were concentrated in a plastic bottle and pumped onto the recipient plant at a constant rate, but this allowed the researchers to analyze what compounds were in the pungent mix...

[T]he undamaged plants received the messages of their injured neighbors loud and clear, responding with bursts of calcium signaling that rippled across their outstretched leaves... [G]uard cells generated calcium signals within a minute or so, after which mesophyll cells picked up the message... "We have finally unveiled the intricate story of when, where, and how plants respond to airborne 'warning messages' from their threatened neighbors," says Masatsugu Toyota, a molecular biologist at Saitama University in Japan and senior author of the study.

We already know that a precise range of wavelengths within daylight triggers a light-sensitive photoreceptor in the back of your eye, causing the body's internal clock to reset.

Those receptors are called "intrinsically photosensitive retinal ganglion cells" (or ipRGCs), according to Science Alert — although the actual color is perceived by some nearby cones (which then send information back to those rceptors).

But are our bodies really affected specifically by the perceived color? Chronobiologist Christine Blume investigated with a team from Switzerland's University of Basel and Germany's Max Planck Institute for Biological Cybernetics: Modern scientific wisdom advises us to avoid devices that emit a significant amount of blue radiance, such as our smartphones, computer monitors, and tablets, when we ought to be wrapping ourselves in darkness and resting. There's perfectly sound reasoning for this — the ipRGCs in our eyes react to short wavelengths of electromagnetic radiation, roughly 490 nanometers in size... Given blue light scatters from the sky during daylight hours, it makes sense our eyes would use this wavelength as a cue to mark the beginning and end of sleep time...

Yet University of Basel chronobiologist Christine Blume had her suspicions that the way a light's mix of wavelengths influenced the color-reading cones could mean there's more to the phenomenon than meets the eye. "A study in mice in 2019 suggested that yellowish light has a stronger influence on the internal clock than bluish light," says Blume. To resolve whether the way cones perceive a range of wavelengths carries any weight in how the blue-triggered ipRGCs function, Blume and her team recruited eight healthy adult men and eight women in a 23-day-long experiment. After habituating to a specific bedtime for a week, the volunteers attended three visits to a lab where they were exposed to a constant controlled 'white' glow, a bright yellow, or dim blue light for one hour in the evening...

None of the analyses revealed any indication that the perceived color of the light affected the duration or quality of the volunteers' sleep patterns. Instead, all three light conditions caused a sleep delay, suggesting light in general has a more complicated impact than previously thought. That's not to say ipRGCs aren't affected by 'blue' wavelengths of light. Rather, white light that is packed with blue waves but stimulates cone cells into seeing yellows, reds, or purples could still affect our sleep cycles. Similarly, light that looks blue but isn't intense enough to provoke the ipRGCs into functioning might have little influence over our body's daily rhythms.

Phones of the future may one day allow us to switch into a night mode that we don't perceive in warmer tones.
Thanks to long-time Slashdot reader schwit1 for sharing the article.

The fuel-leaking Peregrine lunar lander is now "on a parth towards Earth," according to Update #16 from Astrobotic, which predicts their spacecraft "will likely burn up in the Earth's atmosphere." "Our analysis efforts have been challenging due to the propellant leak... The team is currently assessing options and we will update as soon as we are able. The propellant leak has slowed considerably to a point where it is no longer the teams' top priority...

We have now been operating in space for 5 days and 8 hours and are about 242,000 miles from Earth.
"A soft landing on the Moon is not possible," the announcement emphasizes. NDTV explains: Shortly after it separated from the rocket, the spaceship experienced an onboard explosion and it soon became clear it would not make a soft lunar touchdown because of the amount of the propellant it was losing — though Astrobotic's team were able to power up science experiments they were carrying for NASA and other space agencies, and gather spaceflight data...

Astrobotic itself will get another chance in November with its Griffin lander transporting NASA's VIPER rover to the lunar south pole.

porkchop_d_clown (Slashdot reader #39,923) writes: MOND — MOdified Newtonian Dynamics is a hypothesis that Newton's law of gravity is incorrect under some conditions. Now a paper claims that a study does indeed show that pairs of widely separated binary stars do show a deviation from Newton's Second Law, arguing that, at very low levels, gravity is stronger than the law predicts.
Phys.org writes that the study "reinforces the evidence for modified gravity that was previously reported in 2023 from an analysis of the orbital motions of gravitationally bound, widely separated (or long-period) binary stars, known as wide binaries."

But RockDoctor (Slashdot reader #15,477) calls the hypothesis "very much disputed." YouTubing-astrophysicist Dr Becky considered this report a couple of months ago (2023-Nov-09), under the title "HUGE blow for alternate theory of gravity MOND". At the very least, astrophysicists and cosmologists are deeply undecided whether this data supports or discourages MOND. (Shortened comment because verification problem.)

Last week, I updated my annual count of MOND and other "alternative gravity" publications. While research on MOND (and others) continues, and any "suppression" the tin-foil-hat brigade want to scream about is ineffective, it remains an unpopular (not-equal-to "suppressed") field. Generally, astronomical publication counts are increasing, and MOND sticks with that trend. If anything is becoming more popular, it's the "MOG" type of "MOdified Gravity".

"For months, bits of an asteroid collected by a U.S. probe during a billion-mile trek were out of reach to scientists," reports Space.com, "locked inside a return capsule in a NASA facility with two stuck fasteners preventing access to the rocky space treasure.

"This week, NASA won its battle against those fasteners."

More details from CNN: The space agency already harvested about 2.5 ounces (70 grams) of rocks and dust from its OSIRIS-REx mission, which traveled nearly 4 billion miles to collect the unprecedented sample from the near-Earth asteroid called Bennu. But NASA revealed in October that some material remained out of reach in a capsule hidden inside an instrument called the Touch-and-Go Sample Acquisition Mechanism — a robotic arm with a storage container at one end that collected the sample from Bennu. The sampler head is held shut by 35 fasteners, according to NASA, but two of them proved too difficult to open.

Prying the mechanism loose is no simple task. The space agency must use preapproved materials and tools around the capsule to minimize the risk of damaging or contaminating the samples. These "new tools also needed to function within the tightly-confined space of the glovebox, limiting their height, weight, and potential arc movement," said Dr. Nicole Lunning, OSIRIS-REx curation lead at NASA's Johnson Space Center in Houston, in a statement. "The curation team showed impressive resilience and did incredible work to get these stubborn fasteners off the TAGSAM head so we can continue disassembly. We are overjoyed with the success."
To address the issue, NASA said they designed and fabricated two new, multi-part tools out of surgical steel. NASA says that a "few additional disassembly steps" still remain, but there's a video on their web site showing the operation (along with some pictures).

NASA adds that "Later this spring, the curation team will release a catalog of the OSIRIS-REx samples, which will be available to the global scientific community." But CNN notes that an analysis of material from last fall "already revealed the samples from the asteroid contained abundant water in the form of hydrated clay minerals as well as carbon," CNN reports. And they add that scientists believe this bolsters the theory that water arrived on Earth billions of years ago on an asteroid...

After years of development, NASA has unveiled the X-59 supersonic jet capable of breaking the sound barrier without producing a thunderous sonic boom. "Instead, the Quesst will make a much quieter 'thump,' similar to the sound of a car door slamming as heard from indoors," reports Space.com. "If successful, the jet has the potential to revolutionize supersonic flight and aviation in general." From the report: NASA and Lockheed Martin showed off the finished X-59 Quesst ("Quiet SuperSonic Technology") today (Jan. 12) in front of a crowd of nearly 150 at the legendary Lockheed Martin Skunk Works facility in Palmdale, California, a research and development site typically known for its secrecy. The elongated beak-like nose section of the aircraft stood out prominently, showing off the fact that it does not have a forward-facing window. [...] Instead, it features what NASA calls the eXternal Vision System, or XVS, which consists of a camera and a cockpit-mounted screen that offers pilots an augmented-reality view of what's in front of the jet.

Jim Free, NASA's associate administrator, continued this sentiment, noting that the X-59 is merely the latest in a long line of NASA X-planes that have revolutionized aviation throughout the agency's history. "Even among other X-planes, the X-59 is special. Every aircraft that receives that X-plane designation has a specific purpose to test new technologies or aerodynamic concepts," Free said, "These special planes push the envelope of what's possible in flight. And once they prove those concepts, they often go into museums. And that's really what makes the X-59 different."

Free was referring to the fact that once the X-59 is ready for flight, the jet will make multiple flights over select residential areas in the United States in order to collect data on how people on the ground below experience and react to the quieter sonic booms it creates. NASA will then use that data to seek approval for commercial supersonic flights from regulatory agencies such as the Federal Aviation Administration, with the ultimate goal of making aviation more sustainable and enabling faster flight over populated areas. Some of the applications of supersonic flight mentioned at today's unveiling include rapid medical response, shorter shipping times and, of course, faster travel. "The first 'A' in NASA stands for aeronautics," said NASA Deputy Administrator Pam Melroy during the unveiling ceremony. "And we're all about groundbreaking aerospace innovation. The X-59 proudly continues this legacy, representing the forefront of technology driving aviation forward." The 'X' in NASA's latest X-plane stands for 'experimental.'

"This isn't just an airplane, this is an X-plane," Melroy added. "It's the manifestation of a collaborative genius."

An anonymous reader quotes a report from the New York Times: In an unmarked laboratory stationed between the campuses of Harvard and the Massachusetts Institute of Technology, a splinter group of scientists is hunting for the next billion-dollar drug. The group, bankrolled with $500 million from some of the wealthiest families in American business, has created a stir in the world of academia by dangling seven-figure paydays to lure highly credentialed university professors to a for-profit bounty hunt. Its self-described goal: to avoid the blockages and paperwork that slow down the traditional paths of scientific research at universities and pharmaceutical companies, and discover scores of new drugs (at first, for cancer and brain disease) that can be produced and sold quickly.

Braggadocio from start-ups is de rigueur, and plenty of ex-academics have started biotechnology companies, hoping to strike it rich on their one big discovery. This group, rather boastfully named Arena BioWorks, borrowing from a Teddy Roosevelt quote, doesn't have one singular idea, but it does have a big checkbook. "I'm not apologetic about being a capitalist, and that motivation from a team is not a bad thing," said the technology magnate Michael Dell, one of the group's big-money backers. Others include an heiress to the Subway sandwich fortune and an owner of the Boston Celtics. The wrinkle is that for decades, many drug discoveries have not just originated at colleges and universities, but also produced profits that helped fill their endowment coffers. The University of Pennsylvania, for one, has said it earned hundreds of millions of dollars for research into mRNA vaccines used against Covid-19. Under this model, any such windfall would remain private. [...]

The five billionaires backing Arena include Michael Chambers, a manufacturing titan and the wealthiest man in North Dakota, and Elisabeth DeLuca, the widow of a founder of the Subway chain. They have each put in $100 million and expect to double or triple their investment in later rounds. In confidential materials provided to investors and others, Arena describes itself as "a privately funded, fully independent, public good." Arena's backers said in interviews that they did not intend to entirely cut off their giving to universities. Duke turned down an offer from Mr. Pagliuca, an alumnus and board member, to set up part of the lab there. Mr. Dell, a major donor to the University of Texas hospital system in his hometown, Austin, leased space for a second Arena laboratory there. [Stuart Schreiber, a longtime Harvard-affiliated researcher who quit to be Arenaâ(TM)s lead scientist] said it would require years -- and billions of dollars in additional funding -- before the team would learn whether its model led to the production of any worthy drugs. "Is it going to be better or worse?" Dr. Schreiber said. "I don't know, but it's worth a shot."

An anonymous reader shares a report: "Do you think that every fingerprint is actually unique? "It's a question that a professor asked Gabe Guo during a casual chat while he was stuck at home during the Covid-19 lockdowns, waiting to start his freshman year at Columbia University. "Little did I know that conversation would set the stage for the focus of my life for the next three years," Guo said. Guo, now an undergraduate senior in Columbia's department of computer science, led a team that did a study on the subject, with the professor, Wenyao Xu of the University of Buffalo, as one of his coauthors. Published this week in the journal Science Advances, the paper seemingly upends a long-accepted truth about fingerprints: They are not, Guo and his colleagues argue, all unique.

In fact, journals rejected the work multiple times before the team appealed and eventually got it accepted at Science Advances. "There was a lot of pushback from the forensics community initially," recalled Guo, who had no background in forensics before the study. "For the first iteration or two of our paper, they said it's a well-known fact that no two fingerprints are alike. I guess that really helped to improve our study, because we just kept putting more data into it, (increasing accuracy) until eventually the evidence was incontrovertible," he said.

Emily Anthes reports via the New York Times: In late 2019, scientists began searching for 10,000 Americans willing to enroll their pets in an ambitious new study of health and longevity in dogs. The researchers planned to track the dogs over the course of their lives, collecting detailed information about their bodies, lifestyles and home environments. Over time, the scientists hoped to identify the biological and environmental factors that kept some dogs healthy in their golden years -- and uncover insights about aging that could help both dogs and humans lead longer, healthier lives. Today, the Dog Aging Project has enrolled 47,000 canines and counting, and the data are starting to stream in. The scientists say that they are just getting started. "We think of the Dog Aging Project as a forever project, so recruitment is ongoing," said Daniel Promislow, a biogerontologist at the University of Washington and a co-director of the project. "There will always be new questions to ask. We want to always have dogs of all ages participating."

But Dr. Promislow and his colleagues are now facing the prospect that the Dog Aging Project might have its own life cut short. About 90 percent of the study's funding comes from the National Institute on Aging, a part of the National Institutes of Health, which has provided more than $28 million since 2018. But that money will run out in June, and the institute does not seem likely to approve the researchers' recent application for a five-year grant renewal, the scientists say. "We have been told informally that the grant is not going to be funded," said Matt Kaeberlein, the other director of the Dog Aging Project and a former biogerontology researcher at the University of Washington. (Dr. Kaeberlein is now the chief executive of Optispan, a health technology company.) The N.I.A. could still choose to provide more funding for the Dog Aging Project at some point, but if the researchers don't bring in more money in the coming months, they will have to pause or pare back the study. "It's almost an emergency," said Stephanie Lederman, the executive director of the nonprofit American Federation for Aging Research. "It's one of the most important projects in the field right now." [...]

The institute's immediate priority is to raise enough money to keep the Dog Aging Project afloat. It would take about $7 million to conduct the research the team had planned to do over the next year, but $2 million would be enough to "keep the lights on," Dr. Promislow said. The institute is still awaiting its official tax exempt status but is already seeking donations. "We haven't yet identified a dog-loving billionaire interested in supporting aging research," Dr. Promislow said. "But we're certainly going to try."

An anonymous reader quotes a report from The Guardian: The stream through western Alaska never looked like this before. In aerial photography from the 1980s, it wove cleanly through the tundra, thin as thread. Today, in satellite images, it appears as a string of black patches: one large pond after another, dozens of meters apart. It's a transformation that is happening across the Arctic, the result of landscape engineering on an impressive scale. But this is no human endeavor to reshape the world. It is the work of the North American beaver, and there is no sign of it stopping. Were the waddling rodents making minor inroads, researchers may never have noticed. But the animals are pouring in, pushing north into new territories. The total number of animals is far from clear, but the ponds they create are hard to miss: in the Arctic tundra of Alaska alone, the number of beaver ponds on streams have doubled to at least 12,000 in the past 20 years. More lodges are dotted along lakes and river banks.

The preponderance of beavers, which can weigh as much as 45kg, follows a collapse in trapping and the warming of a landscape that once proved too bleak for occupation. Global heating has driven the shrubification of the Arctic tundra; the harsh winter is shorter, and there is more free-running water in the coldest months. Instead of felling trees for their dams, the beavers construct them from surrounding shrubs, creating deep ponds in which to build their lodges. The new arrivals cause plenty of disruption. For some communities, the rivers and streams are the roads of the landscape, and the dams make effective roadblocks. As the structures multiply, more land is flooded and there can be less fresh water for drinking downstream. But there are other, less visible effects too. The animals are participants in a feedback loop: climate change opens the landscape to beavers, whose ponds drive further warming, which attracts even more paddle-tailed comrades. Physics suggested this would happen. Beaver ponds are new bodies of water that cover bare permafrost. Because the water is warm -- relatively speaking -- it thaws the hard ground, which duly releases methane, one of the most potent greenhouse gases.

Scientists now have evidence this is happening. Armed with high-resolution satellite imagery, Tape and his colleagues located beaver ponds in the lower Noatak River basin area of north-western Alaska. They then analyzed infrared images captured by Nasa planes flying over the region. Overlaying the two revealed a clear link between beaver ponds and methane hotspots that extended for tens of meters around the ponds. "The transformation of these streams is a positive feedback that is accelerating the effects of climate change, and that is what's concerning," says Tape. "They are accelerating it at every one of these points." Because the Nasa images give only a snapshot in time, the researchers will head out next year to measure methane on the ground. With more measurements, they hope to understand how the emissions vary with the age of beaver ponds: do ponds release a steady flow of methane, or does the release wane after a decade or two? "What's happening here is happening on a huge scale," says Ken Tape, an ecologist at the University of Alaska, Fairbanks, who is tracking the influx of beavers into the sparse northern landscape. "Our modeling work, which is in progress right now, shows that this entire area, the north slope of Alaska, will be colonized by beavers by 2100."