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Categories: Ecology: Nature, Mathematics: Modeling
Published New coral disease forecasting system



Research has led to a new tool for forecasting coral disease that could help conservationists step in at the right times with key interventions. Ecological forecasts are critical tools for conserving and managing marine ecosystems, but few forecasting systems can account for the wide range of ecological complexities in near-real-time.
Published AI saving humans from the emotional toll of monitoring hate speech



A team of researchers have developed a new machine-learning method that detects hate speech on social media platforms with 88 per cent accuracy, saving employees from hundreds of hours of emotionally damaging work.
Published The missing puzzle piece: A striking new snake species from the Arabian Peninsula



Researchers have discovered a new distinctive and secretive snake species in the Hejaz region of Saudi Arabia. The new species is widely distributed and fills much of the existing distribution gap between the Levant and the coastal regions of Yemen and Oman for the genus Rhynchocalamus.
Published Tracing the evolution of ferns' surprisingly sweet defense strategy



Plants and the animals that eat them have evolved together in fascinating ways, creating a dynamic interplay of survival strategies. Many plants have developed physical and chemical defenses to fend off herbivores. A well-known strategy in flowering plants is to produce nectar to attract 'ant bodyguards.' Recent research explores the evolution of this same defense strategy in ferns.
Published Researchers apply quantum computing methods to protein structure prediction



Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction.
Published Theoretical quantum speedup with the quantum approximate optimization algorithm



Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials science and more.
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 What makes some plant groups so successful?



Researchers involved in cataloguing the world's plant species are hunting for answers as to what makes some groups of plants so successful. One of their major goals is to predict more accurately which lineages of flowering plants -- some of which are of huge importance to people and to ecosystems -- are at a greater risk from global climate change.
Published Orchids support seedlings through 'parental nurture' via shared underground fungal networks



Orchid plants nurture their seedlings via an underground fungal network, new research has revealed.
Published Aerosol pollution, greenhouse gases must be reduced simultaneously to keep forest fires in check



If we want cleaner air, fewer forest fires, and less severe climate change, a new study shows we must reduce aerosol pollution and greenhouse gases like carbon dioxide at the same time.
Published Fatal attraction: When endangered species try to mate with domestic relatives, both wildlife and people lose



Sticks and stones aren't enough to thwart biological attraction, but sometimes those are the only tools available to pastoralists trying to prevent wildlife from eloping with their livestock. A new study brings awareness to both the human impacts of these encounters -- ranging from economic loss to death -- and conservation concerns for the wild animals that are often endangered.
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 Slugs and snails love the city, unlike other animals



Most native species avoid more urbanized areas of Los Angeles, but slugs and snails may actually prefer these environments, according to a new study.
Published Wild megalopolis: Study shows unexpected pockets of biodiversity pepper Los Angeles



Researchers, in partnership with the city of Los Angeles, have developed the urban association index to help identify how well or poorly individual wildlife species are doing in the city. The researchers found unexpected pockets of biodiversity deep in the city, but they say it will still be a challenge to elevate Los Angeles' overall level of 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 Smarter foragers do not forage smarter



Why do primates have big brains? In the Panamanian rainforest, scientists pitted large-brained primates against smaller-brained mammals to find out who was the smartest forager.
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 Harnessing green energy from plants depends on their circadian rhythms



Plant hydraulics drive the biological process that moves fluids from roots to plant stems and leaves, creating streaming electric potential, or voltage, in the process. A study closely examined the differences in voltage caused by the concentrations of ions, types of ions, and pH of the fluid plants transport, tying the voltage changes to the plant's circadian rhythm that causes adjustments day and night. According to the authors, this consistent, cyclic voltage creation could be harnessed as an energy source.
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.