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Categories: Ecology: Animals, Mathematics: Modeling
Published Vegetarian diet of corals explains age-old mystery dating back to Darwin
(via sciencedaily.com) Original source A new study has revealed why coral reefs can thrive in seemingly nutrient poor water, a phenomenon that has fascinated scientists since Charles Darwin.
Published Fire, disease threatening sanctuary plants for Australian wildlife
(via sciencedaily.com) Original source New research has revealed Australia's iconic grasstrees -- known as 'yaccas' -- play a critical role in protecting wildlife from deadly weather extremes, thereby ensuring their survival. But the grasses themselves are under threat due to back burning, clearing and disease.
Published Hundreds of Andean bird species at risk due to deforestation: New research shows how to protect them
(via sciencedaily.com) Original source Birds native to the tropical Andes are threatened by increasing agricultural development in the region. A new study combines a meta-analysis of papers on birds across the Andes with five years of fieldwork in Peru, revealing that open farmlands result in up to a 60% decline in the number of species in an area. The study documents how specific species are affected and provides tailored guidance for conservationists trying to protect them.
Published As city heat rises, bird diversity declines
(via sciencedaily.com) Original source A study done on 336 cities in China concludes that heat-retaining buildings and paved surfaces are directly related to a loss in bird diversity. It is likely that the patterns documented in this study are occurring in other large cities across the globe that have abundant asphalt, steel, and concrete with little green vegetation.
Published Detecting a vast diversity of rainforest animals by swabbing their DNA from leaves
(via sciencedaily.com) Researchers demonstrate that a vast multitude of birds and mammals can be detected by simply swabbing the DNA left behind by animals from leaves. They showcased the power of this approach in an ecosystem that hosts a ton of wildlife and where detecting animals has historically proven extremely challenging -- the tropical rainforest.
Published It all depends on the genetic diversity
(via sciencedaily.com) Original source New research shows that a single mutation that has immediate effects on plant fitness is maintained over the long term in natural plant populations, despite theories predict the contrary. The researchers located and identified the gene that regulates the amount of an active defense hormone. Mutants in this gene are susceptible to herbivore attack. However, they compensate for impaired defenses through robust genetic networks. When fewer herbivores attack, they even grow faster and produce more offspring.
Published Scientists zero in on timing, causes of ice age mammal extinctions in southern California
(via sciencedaily.com) Original source Radiocarbon dating on bones in the La Brea Tar Pits lead archaeologists to warn that history may be repeating itself.
Published Urban great tits have paler plumage than their forest-living relatives
(via sciencedaily.com) Original source A new study shows that urban great tits have paler plumage than their countryside counterparts. Since the yellow pigment of the breast feathers of great tits comes from the food they eat, the paler yellow plumage of urban birds indicates that the urban environment affects the entire food chain.
Published Pollutants are important to biodiversity's role in spread of wildlife diseases
(via sciencedaily.com) Conventional wisdom among ecologists holds that the more species there are inhabiting an ecosystem, the less vulnerable any one species will be to a threat like a parasite. A new study of tadpoles illustrates how overlapping biological and environmental factors can complicate how we value protecting diverse animal communities. The researchers found that environmental pollutants like road salt influence whether increased biodiversity helps or hinders disease outbreaks in wildlife, which can complicate how we value protecting diverse animal communities.
Published It's not just humans: City life is stressful for coyotes, too
(via sciencedaily.com) Original source Though cars are the biggest threat to coyotes taking up residence in U.S. cities, a new study suggests urban living poses a different kind of hazard to coyote health -- in the form of chronic stress. Researchers examined the concentration of the stress hormone cortisol in the hair of almost 100 coyotes living in the Chicago Metropolitan Area. Results showed that coyotes that lived in the most-developed areas had higher cortisol levels -- a proxy for chronic stress -- than animals living in suburban or natural areas.
Published AI models are powerful, but are they biologically plausible?
(via sciencedaily.com) Researchers hypothesize that a powerful type of AI model known as a transformer could be implemented in the brain through networks of neuron and astrocyte cells. The work could offer insights into how the brain works and help scientists understand why transformers are so effective at machine-learning tasks.
Published Researchers use mathematical modeling and dynamic biomarkers to characterize metastatic disease during adaptive therapy
(via sciencedaily.com) Researchers demonstrate how mathematical modeling combined with dynamic biomarkers can be used to characterize metastatic disease and identify appropriate therapeutic approaches to improve patient outcomes.
Published Distribution of genetic information during bacterial cell division
(via sciencedaily.com) A mathematical model provides new insights into the distribution of genetic information during bacterial cell division
Published Artificial intelligence designs advanced materials
(via sciencedaily.com) Scientists pioneer a new machine learning model for corrosion-resistant alloy design.
Published Tool finds bias in state-of-the-art generative AI model
(via sciencedaily.com) Researchers introduce a new tool to measure bias in text-to-image AI generation models, which they have used to quantify bias in the state-of-the-art model Stable Diffusion.
Published Turning ChatGPT into a 'chemistry assistant'
(via sciencedaily.com) Developing new materials requires significant time and labor, but some chemists are now hopeful that artificial intelligence (AI) could one day shoulder much of this burden. In a new study, a team prompted a popular AI model, ChatGPT, to perform one particularly time-consuming task: searching scientific literature. With that data, they built a second tool, a model to predict experimental results.
Published New model reduces bias and enhances trust in AI decision-making and knowledge organization
(via sciencedaily.com) Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization.
Published Self-supervised AI learns physics to reconstruct microscopic images from holograms
(via sciencedaily.com) Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Informed only by the laws of physics that universally govern the propagation of electromagnetic waves in space, the researchers taught their AI model to reconstruct microscopic images using only random artificial holograms -- synthesized solely from 'imagination' without relying on any real-world experiments, actual sample resemblances or real data.
Published How good is that AI-penned radiology report?
(via sciencedaily.com) New study identifies concerning gaps between how human radiologists score the accuracy of AI-generated radiology reports and how automated systems score them. Researchers designed two novel scoring systems that outperform current automated systems that evaluate the accuracy of AI narrative reports. Reliable scoring systems that accurately gauge the performance of AI models are critical for ensuring that AI continues to improve and that clinicians can trust them.
Published Deep learning for new protein design
(via sciencedaily.com) Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates verified in the lab for binding a designed protein with its target protein. The results will help scientists design better drugs against diseases like cancer and COVID-19.