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Categories: Ecology: Extinction, Mathematics: Modeling
Published Wolves' return has had only small impact on deer populations in NE Washington



Wolves returned to Washington state in 2008. A new study shows that, despite their rising numbers, wolves are not having much of an impact on white-tailed deer, one of their primary prey. Scientists report that the biggest factor shaping white-tailed deer populations in northeast Washington is the quality of habitat available, which is largely determined by human activity. Cougars were second in their impact. Wolves were a distant third.
Published Researchers customize AI tools for digital pathology



Scientists developed and tested new artificial intelligence (AI) tools tailored to digital pathology--a rapidly growing field that uses high-resolution digital images created from tissue samples to help diagnose disease and guide treatment.
Published Researchers listen to the hearts of bats in flight



Unique recordings show that bats can ramp up heart rate from 6 to 900 b.p.m within minutes.
Published Researchers introduce generative AI for databases



Researchers have developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods.
Published Global database reveals large gaps in our knowledge of four-footed animals



Researchers developed TetrapodTraits -- a global database of animals with four feet -- which can now be applied for better ecology, evolution and conservation research.
Published First local extinction in the US due to sea level rise, study suggests



The United States has lost its only stand of the massive Key Largo tree cactus in what researchers believe is the first local extinction of a species caused by sea level rise in the country.
Published Study projects major changes in North Atlantic and Arctic marine ecosystems due to climate change



New research predicts significant shifts in marine fish communities in the North Atlantic and Arctic Oceans as a result of climate warming.
Published Restored oyster sanctuaries host more marine life



Oysters sanctuaries in Chesapeake Bay are working for more than just oysters. Compared to nearby harvest areas, sanctuaries contain more abundant populations of oysters and other animal life--and the presence of two common parasites isn't preventing that.
Published Coral reefs: Battlegrounds for survival in a changing climate



Coral reefs, those vibrant underwater cities, stand on the precipice of collapse. While rising ocean temperatures and coral bleaching grab headlines, a new essay reveals a hidden layer of complexity in this fight for survival: the often-overlooked roles of the reefs' smallest inhabitants.
Published Innovative, highly accurate AI model can estimate lung function just by using chest x-rays



An artificial intelligence (AI) model that can estimate with high accuracy a person's lung function just by using a chest radiograph has been successfully developed.
Published Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease



Drosophila -- known as fruit flies -- are a valuable model for human heart pathophysiology, including cardiac aging and cardiomyopathy. However, a choke point in evaluating fruit fly hearts is the need for human intervention to measure the heart at moments of its largest expansion or its greatest contraction to calculate cardiac dynamics. Researchers now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and high-speed video microscopy.
Published Machine learning could aid efforts to answer long-standing astrophysical questions



Physicists have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.
Published Near chromosome-level genome of the Mojave poppy bee



Scientists have developed a near chromosome-level genome for the Mojave poppy bee, a specialist pollinator of conservation concern.
Published Moving beyond the 80-year-old solar cell equation



Physicists have made a significant breakthrough in solar cell technology by developing a new analytical model that improves the understanding and efficiency of thin-film photovoltaic (PV) devices.
Published Ocean acidification turns fish off coral reefs



A new study of coral reefs in Papua New Guinea shows ocean acidification simplifies coral structure, making crucial habitat less appealing to certain fish species.
Published Researchers identify unique survival strategies adopted by fish in the world's warmest waters



A team of researchers have identified unexpected ways coral reef fish living in the warmest waters on earth, in the Arabian Gulf, have adapted to survive extreme temperatures.
Published The evidence is mounting: humans were responsible for the extinction of large mammals



Human hunting, not climate change, played a decisive role in the extinction of large mammals over the last 50,000 years. This conclusion comes from researchers who reviewed over 300 scientific articles from many different fields of research.
Published Sixty-million-year-old grape seeds reveal how the death of the dinosaurs may have paved the way for grapes to spread



Scientists discovered the oldest fossil grapes in the Western Hemisphere, which help show how after the death of the dinosaurs, grapes spread across the world.
Published AI model finds the cancer clues at lightning speed



AI model finds the cancer clues at lightning speed. Researchers have developed an AI model that increases the potential for detecting cancer through sugar analyses. The AI model is faster and better at finding abnormalities than the current semi-manual method.
Published Can A.I. tell you if you have osteoporosis? Newly developed deep learning model shows promise



Researchers have developed a novel deep learning algorithm that outperformed existing computer-based osteoporosis risk prediction methods, potentially leading to earlier diagnoses and better outcomes for patients with osteoporosis risk.