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Categories: Biology: Marine, Mathematics: Modeling
Published AI helps medical professionals read confusing EEGs to save lives



Researchers have developed an assistive machine learning model that greatly improves the ability of medical professionals to read the electroencephalography (EEG) charts of intensive care patients. Because EEG readings are the only method for knowing when unconscious patients are in danger of suffering a seizure or are having seizure-like events, the computational tool could help save thousands of lives each year.
Published Researchers improve satellite surveillance of emperor penguins



New phenological and behavioral models will help scientists collect more accurate counts of emperor penguins. Emperor penguins are at the top of the food web. They are a reflection of how lower levels of the marine food web are being impacted by climate change. Systematic data collection on the biological component of ecosystems is still in its infancy, especially in harsh environments, in which consistent and repeatable research is particularly hard to achieve.
Published Some species may tolerate climate change better than expected



A new model reassesses the proportion of terrestrial and marine species threatened with extinction by climate change. While the forecasts of traditional models estimate that the diversity of terrestrial species in tropical areas could decrease by 54% between now and 2041-2060, this model is more moderate, predicting a decrease of 39%. Nevertheless, this proportion remains alarming and confirms the importance of taking urgent measures to mitigate climate change and its impact on biodiversity.
Published Marine Protected Areas don't line up with core habitats of rare migratory fish, finds new research



62% of Marine Protected Areas (MPAs) designated to protect rare migratory fish species are outside of their core habitats, according to a new modeling study.
Published The secret sex life of coral revealed



Corals play an essential role in ocean ecosystems, and like many organisms, they are under threat from climate change and other human activities. To better protect coral, it's first necessary to understand them, in particular their reproductive life cycle, which only happens once a year. For the first time, researchers have produced a model for coral spawning, based on various environmental factors. They achieved this by tapping an often overlooked source of aquatic knowledge, an aquarium.
Published Tracking animals without markers in the wild



Researchers developed a computer vision framework for posture estimation and identity tracking which they can use in indoor environments as well as in the wild. They have thus taken an important step towards markerless tracking of animals in the wild using computer vision and machine learning.
Published Research finds improving AI large language models helps better align with human brain activity



With generative artificial intelligence (GenAI) transforming the social interaction landscape in recent years, large language models (LLMs), which use deep-learning algorithms to train GenAI platforms to process language, have been put in the spotlight. A recent study found that LLMs perform more like the human brain when being trained in more similar ways as humans process language, which has brought important insights to brain studies and the development of AI models.
Published Global activity of seafloor biodiversity mapped



A team of scientists has used artificial intelligence (AI) to map the activities of seafloor invertebrate animals, such as worms, clams and shrimps, across all the oceans of the world.
Published Investigating the origin of circatidal rhythms in freshwater snails



While most organisms have biological clocks synchronized with the day-night cycle (circadian rhythms), marine animals in tidal areas have also developed circatidal rhythms to align with the tidal cycle. Comparing the activity and genetic expression of snails from tidal and non-tidal areas, researchers demonstrate that circatidal rhythms develop as snails adapt to tidal environments. These findings highlight the flexibility of biological clocks, enabling organisms to adjust their rhythms according to the environment.
Published Biodiversity in crabs: More than counting species



Researchers compare the shield shapes of crabs and find unexpected differentiation.
Published Constantly on the hunt for food: Harbor porpoises more vulnerable than previously thought



Constantly on the hunt for food: Harbor porpoises more vulnerable than previously thought to the disturbances from humans. The small whales spend more than 60 percent of their day hunting small fish to stay warm in the cold waters. New research shows that harbor porpoises spend little energy on this hunting strategy, but that it makes them vulnerable to human disturbance.
Published Sexual parasitism helped anglerfish invade the deep sea during a time of global warming



Members of the vertebrate group including anglerfishes are unique in possessing a characteristic known as sexual parasitism, in which males temporarily attach or permanently fuse with females to mate. Now, researchers show that sexual parasitism arose during a time of major global warming and rapid transition for anglerfishes from the ocean floor to the deep, open sea.
Published Future climate impacts put whale diet at risk



A new study predicts future climate change impacts could disrupt the krill-heavy diet that humpback whales in the southern hemisphere consume.
Published New insights into the degradation dynamics of organic material in the seafloor



Many processes in the deep sea are not yet well understood, and the role of microbial communities in particular is often a big unknown. This includes, for example, how organic material that sinks from the water surface to the ocean floor is metabolised -- an important building block for a better understanding of the global carbon cycle.
Published How AI helps programming a quantum computer



Researchers have unveiled a novel method to prepare quantum operations on a given quantum computer, using a machine learning generative model to find the appropriate sequence of quantum gates to execute a quantum operation. The study marks a significant step forward in unleashing the full extent of quantum computing.
Published A rise in sea urchins and related damage to kelp forests impacts Oregon's gray whales and their food



A recent boom in the purple sea urchin population off the southern Oregon Coast appears to have had an indirect and negative impact on the gray whales that usually forage in the region, a new study shows.
Published After hundreds of years, study confirms Bermuda now home to cownose rays



Using citizen science, photographs, on-water observations and the combination of morphological and genetic data, researchers have provided evidence that the Atlantic cownose ray has recently made a new home in Bermuda. Results show that after hundreds of years of natural history records, this is a novel migration of Atlantic cownose rays to Bermuda.
Published Zombie cells in the sea: Viruses keep the most common marine bacteria in check



Marine microbes control the flux of matter and energy essential for life in the oceans. Among them, the bacterial group SAR11 accounts for about a third of all the bacteria found in surface ocean waters. A study now reveals that at times nearly 20% of SAR11 cells are infected by viruses, significantly reducing total cell numbers. The viruses can also transform these once thriving bacteria into zombies, a phenomenon observed for the first time and widespread in the oceans.
Published Deep-sea sponge's 'zero-energy' flow control could inspire new energy efficient designs



The deep-sea Venus flower basket sponge can filter feed using only the faint ambient currents of the ocean depths, no pumping required, new research reveals. This discovery of natural 'zero energy' flow control could help engineers design more efficient chemical reactors, air purification systems, heat exchangers, hydraulic systems, and aerodynamic surfaces.
Published Large language models can't effectively recognize users' motivation, but can support behavior change for those ready to act



Large language model-based chatbots can't effectively recognize users' motivation when they are hesitant about making healthy behavior changes, but they can support those who are committed to take action, say researchers.