Showing 20 articles starting at article 1
Categories: Mathematics: Modeling, Offbeat: Earth and Climate
Published Two epicenters led to Japan's violent Noto earthquake on New Year's Day
(via sciencedaily.com) Original source The 7.5- magnitude earthquake beneath Japan's Noto Peninsula on Jan. 1, 2024, occurred when a 'dual-initiation mechanism' applied enough energy from two different locations to break through a fault barrier -- an area that locks two sides of a fault in place and absorbs the energy of fault movement, slowing it down or stopping it altogether.
Published Innovative field experiments shed light on biological clocks in nature
(via sciencedaily.com) Original source A new study has used a series of innovative field experiments to show how plants combine circadian clock signals with environmental cues under naturally fluctuating conditions.
Published Creature the size of a dust grain found hiding in California's Mono Lake
(via sciencedaily.com) Original source Mono Lake is a beautiful but harsh environment, its salty and arsenic-laced water home to brine shrimp, alkali flies and little else. Scientists recently discovered an unsuspected resident, however, a microscopic creature -- a choanoflagelatte -- that forms colonies that harbor their own unique bacterial microbiomes. The creature, part of the sister group to all animals, could shed light on the evolution of animals' intimate interactions with bacteria and the rise of multicellular life.
Published Fighting coastal erosion with electricity
(via sciencedaily.com) Original source New research has systematically demonstrated that a mild zap of electricity can strengthen a marine coastline for generations -- greatly reducing the threat of erosion in the face of climate change and rising sea levels. The new process forms natural cement between grains of sand, transforming it into solid, immoveable rock. Mollusks use a similar process to turn naturally occurring minerals into shells.
Published Self-improving AI method increases 3D-printing efficiency
(via sciencedaily.com) Original source An artificial intelligence algorithm can allow researchers to more efficiently use 3D printing to manufacture intricate structures. The development could allow for more seamless use of 3D printing for complex designs in everything from artificial organs to flexible electronics and wearable biosensors. As part of the study, the algorithm learned to identify, and then print, the best versions of kidney and prostate organ models, printing out 60 continually improving versions.
Published Chalk-based coating creates a cooling fabric
(via sciencedaily.com) Original source In the scorching heat of summer, anyone who spends time outside could benefit from a cooling fabric. While there are some textiles that reflect the sun's rays or wick heat away, current options require boutique fibers or complex manufacturing processes. But now, demonstrations of a durable chalk-based coating show it can cool the air underneath treated fabric by up to 8 degrees Fahrenheit.
Published Pilot study uses recycled glass to grow plants for salsa ingredients
(via sciencedaily.com) Original source Tortilla chips and fresh salsa are tasty, but they could be even more appealing if you grow the ingredients yourself. Now, researchers report that some salsa ingredients -- cilantro, bell pepper and jalapeno -- can be more sustainably cultivated with recycled glass. Their pilot study found that partially substituting soil in a planter with recycled glass fragments speeds up plant development and reduces unwanted fungal growth.
Published Humpbacks are among animals who manufacture and wield tools
(via sciencedaily.com) Original source Researchers suggest a new designation of the humpback whales they study: tool wielders. Researchers have known that humpback whales create "bubble-nets" to hunt, but they have learned that the animals don't just create the bubble-nets; they manipulate this unique tool in a variety of ways to maximize their food intake in Alaskan feeding grounds.
Published Peering into the mind of artificial intelligence to make better antibiotics
(via sciencedaily.com) Original source Artificial intelligence (AI) has exploded in popularity as of late. But just like a human, it's hard to read an AI model's mind. Explainable AI (XAI) could help us do just that by providing justification for a model's decisions. And now, researchers are using XAI to scrutinize predictive AI models more closely, which could help make better antibiotics.
Published AI model aids early detection of autism
(via sciencedaily.com) Original source A new machine learning model can predict autism in young children from relatively limited information. The model can facilitate early detection of autism, which is important to provide the right support.
Published Hailstone library to improve extreme weather forecasting
(via sciencedaily.com) Original source Researchers are measuring and scanning samples for a global 'hailstone library'. Storm simulations using 3-D modelling of real hailstones -- in all sorts of weird shapes from oblong to flat discs or with spikes coming out -- show it behaves differently than spherical hail shapes. Data from the hail library could lead to more accurate storm forecasts.
Published New research shows unprecedented atmospheric changes during May's geomagnetic superstorm
(via sciencedaily.com) Original source On May 11, a gorgeous aurora surprised stargazers across the southern United States. That same weekend, a tractor guided by GPS missed its mark. What do the visibility of the northern lights have in common with compromised farming equipment in the Midwest? A uniquely powerful geomagnetic storm, according to new research.
Published Blind cavefish have extraordinary taste buds
(via sciencedaily.com) Original source A biologist studies blind cavefish, a species of fish that dwell in cave ponds in Mexico. He looked at the timeline for when the cavefish develop additional taste buds on the head and chin, finding the taste bud expansion starts at five months and continues into adulthood.
Published Why do researchers often prefer safe over risky projects? Explaining risk aversion in science
(via sciencedaily.com) Original source A mathematical framework that builds on the economic theory of hidden-action models provides insight into how the unobservable nature of effort and risk shapes investigators' research strategies and the incentive structures within which they work, according to a new study.
Published In subdivided communities cooperative norms evolve more easily
(via sciencedaily.com) Original source Researchers simulated social norms with a supercomputer. Their findings contribute to a deeper understanding of the evolution of social norms and their role in fostering cooperative behavior.
Published Leading AI models struggle to identify genetic conditions from patient-written descriptions
(via sciencedaily.com) Original source Researchers discover that while artificial intelligence (AI) tools can make accurate diagnoses from textbook-like descriptions of genetic diseases, the tools are significantly less accurate when analyzing summaries written by patients about their own health. These findings demonstrate the need to improve these AI tools before they can be applied in health care settings to help make diagnoses and answer patient questions.
Published Scientists condition crocodiles to avoid killer cane toads
(via sciencedaily.com) Original source Scientists have trialled a new way to protect freshwater crocodiles from deadly invasive cane toads spreading across northern Australia.
Published Reduce, reuse, 're-fly-cle'
(via sciencedaily.com) Original source Black soldier flies are now commercially used to consume organic waste -- but genetic modifications proposed by bioscientists could see the insects digesting a wider variety of refuse, while also creating raw ingredients for industry.
Published Think fast -- or not: Mathematics behind decision making
(via sciencedaily.com) Original source New research explains the mathematics behind how initial predispositions and additional information affect decision making.
Published AI poses no existential threat to humanity, new study finds
(via sciencedaily.com) Original source Large Language Models (LLMs) are entirely controllable through human prompts and lack 'emergent abilities'; that is, the means to form their own insights or conclusions. Increasing model size does not lead LLMs to gain emergent reasoning abilities, meaning they will not develop hazardous abilities and therefore do not pose an existential threat. A new study sheds light on the (until now unexplained) capabilities and shortcomings of LLMs, including the need for carefully engineered prompts to exhibit good performance.