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Categories: Ecology: Research, Mathematics: Modeling
Published Mosaic grassland landscapes are the most beneficial
(via sciencedaily.com) Original source Grassland provides many services for humans, animals and nature, such as feed production, carbon storage and recreation. Researchers spent two years investigating permanent grassland, its utilization, soils and plant communities in order to quantify the resulting ecosystem services. Grassland performs best when different types of use such as meadows, pastures and unfertilized extensive grassland exist together in a mosaic landscape.
Published Century of statistical ecology reviewed
(via sciencedaily.com) Original source A special review examines highly-cited papers in statistical ecology. The review, which covers a century of research, details how models and concepts have evolved alongside increasing computational power.
Published New work extends the thermodynamic theory of computation
(via sciencedaily.com) Original source Physicists and computer scientists have recently expanded the modern theory of the thermodynamics of computation. By combining approaches from statistical physics and computer science, the researchers introduce mathematical equations that reveal the minimum and maximum predicted energy cost of computational processes that depend on randomness, which is a powerful tool in modern computers.
Published Island birds more adaptable than previously thought
(via sciencedaily.com) Original source The researchers found that birds were more evolutionarily similar on smaller, more isolated islands than on larger, less remote places. The team had expected to find that forested areas had more numerous and more varied species of birds compared to farmland areas. But they were surprised to find that the opposite was true: Areas with farms and human settlements had more species of birds and greater diversity than forested areas.
Published New machine learning algorithm promises advances in computing
(via sciencedaily.com) Original source Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.
Published AI advancements make the leap into 3D pathology possible
(via sciencedaily.com) Original source Researchers present Tripath: new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions. The research team imaged curated prostate cancer specimens, using two 3D high-resolution imaging techniques. The models were then trained to predict prostate cancer recurrence risk on volumetric human tissue biopsies. By comprehensively capturing 3D morphologies from the entire tissue volume, Tripath performed better than pathologists and outperformed deep learning models that rely on 2D morphology and thin tissue slices.
Published Rapid oyster reef restoration gives hope for repairing the sea
(via sciencedaily.com) Original source After a century of functional extinction on the Australian mainland, a Flat oyster reef has been successfully restored along a metropolitan Adelaide coastline.
Published Saturated soils could impact survival of young trees planted to address climate change
(via sciencedaily.com) Original source New research has looked into the potential effects of increased rainfall in regions being earmarked for expansion of temperate rainforests. Amid global calls for more trees to be planted as part of efforts to combat climate change, this study highlights the importance of factoring in soil conditions when looking at where and how to create the temperate rainforests of the future.
Published Limited adaptability makes freshwater bacteria vulnerable to climate change
(via sciencedaily.com) Original source Freshwater bacteria with small genomes frequently undergo prolonged periods of adaptive stagnation. Based on genomic analyses of samples from European lakes, researchers uncovered specific evolutionary strategies that shape these bacteria's lifestyles. Understanding the evolutionary dynamics of aquatic microbial communities is key to safeguarding ecosystem services.
Published An AI leap into chemical synthesis
(via sciencedaily.com) Original source Scientists introduce a large language model-based AI system that revolutionizes chemistry by integrating 18 advanced tools for tasks like organic synthesis and drug discovery.
Published Emergency department packed to the gills? Someday, AI may help
(via sciencedaily.com) Original source Emergency departments nationwide are overcrowded and overtaxed, but a new study suggests artificial intelligence (AI) could one day help prioritize which patients need treatment most urgently.
Published Researchers use foundation models to discover new cancer imaging biomarkers
(via sciencedaily.com) Original source Researchers have harnessed the technology behind foundation models, which power tools like ChatGPT, to discover new cancer imaging biomarkers that could transform how patterns are identified from radiological images. Improved identification of such patterns can greatly impact the early detection and treatment of cancer.
Published Why getting in touch with our 'gerbil brain' could help machines listen better
(via sciencedaily.com) Original source Researchers have debunked a 75-year-old theory about how humans determine where sounds are coming from, and it could unlock the secret to creating a next generation of more adaptable and efficient hearing devices ranging from hearing aids to smartphones.
Published Stony coral tissue loss disease is shifting the ecological balance of Caribbean reefs
(via sciencedaily.com) Original source A new study shows stony coral tissue loss disease is causing drastic changes in the Caribbean's population of corals, which is sure to disrupt the delicate balance of the ecosystem and threaten marine biodiversity and coastal economies.
Published Toxic chemicals can be detected with new AI method
(via sciencedaily.com) Original source Researchers have developed an AI method that improves the identification of toxic chemicals -- based solely on knowledge of the molecular structure. The method can contribute to better control and understanding of the ever-growing number of chemicals used in society, and can also help reduce the amount of animal tests.
Published New computer algorithm supercharges climate models and could lead to better predictions of future climate change
(via sciencedaily.com) Original source A study describes a new computer algorithm which can be applied to Earth System Models to drastically reduce the time needed to prepare these in order to make accurate predictions of future climate change. During tests on models used in IPCC simulations, the algorithm was on average 10 times faster at spinning up the model than currently-used approaches, reducing the time taken to achieve equilibrium from many months to under a week.
Published Improved AI process could better predict water supplies
(via sciencedaily.com) Original source A new computer model uses a better artificial intelligence process to measure snow and water availability more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. The researchers predict water availability from areas in the West where snow amounts aren't being physically measured.
Published From disorder to order: Flocking birds and 'spinning' particles
(via sciencedaily.com) Original source Researchers have demonstrated that ferromagnetism, an ordered state of atoms, can be induced by increasing particle motility and that repulsive forces between atoms are sufficient to maintain it. The discovery not only extends the concept of active matter to quantum systems but also contributes to the development of novel technologies that rely on the magnetic properties of particles, such as magnetic memory and quantum computing.
Published AI deciphers new gene regulatory code in plants and makes accurate predictions for newly sequenced genomes
(via sciencedaily.com) Original source Elucidating the relationship between the sequences of non-coding regulatory elements and their target genes is key to understanding gene regulation and its variation between plant species and ecotypes. Now, an international research team developed deep learning models that link gene sequence data with mRNA copy number for several plant species and predicted the regulatory effect of gene sequence variation.
Published Climate change could become the main driver of biodiversity decline by mid-century
(via sciencedaily.com) Original source Global biodiversity has declined between 2% and 11% during the 20th century due to land-use change alone, according to a large multi-model study. Projections show climate change could become the main driver of biodiversity decline by the mid-21st century.