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Categories: Environmental: Ecosystems, Mathematics: Modeling
Published Rwandan tree carbon stock mapped from above



Researchers have developed accurate nation-wide mapping of the carbon content of trees based on aerial images.
Published Bird diversity increased in severely burned forests of Southern Appalachian mountains


A new study found bird diversity increased in North Carolina mountain forest areas severely burned by wildfire in 2016, reinforcing that while wildfire can pose risks to safety and property, it can be beneficial to wildlife. The study results could help forest managers better predict bird responses to wildfire, and manage forests to benefit birds.
Published Characters' actions in movie scripts reflect gender stereotypes


Researchers have developed a novel machine-learning framework that uses scene descriptions in movie scripts to automatically recognize different characters' actions. Applying the framework to hundreds of movie scripts showed that these actions tend to reflect widespread gender stereotypes, some of which are found to be consistent across time.
Published Palau's Rock Islands harbor heat-resistant corals



Ocean warming is driving an increase in the frequency and severity of marine heatwaves, causing untold damage to coral reefs. Tropical corals, which live in symbiosis with tiny single celled algae, are sensitive to high temperatures, and exhibit a stress response called bleaching when the ocean gets too hot. In the last 4 decades, marine heatwaves have caused widespread bleaching, and killed millions of corals. Because of this, a global search is underway for reefs that can withstand the heat stress, survive future warming, and act as sources of heat-tolerant coral larvae to replenish affected areas both naturally and through restoration.
Published Carbon, soot and particles from combustion end up in deep-sea trenches


New research shows that disproportionately large amounts of carbon accumulate at the bottom of deep-sea trenches. The trenches may thus play an important role for deep-sea storage of organic material -- and thus for the atmospheric Co2 balance.
Published Should we tax robots?


A small tax on robots, as well as on trade generally, will help reduce income inequality in the U.S., according to economists.
Published Using deep learning to monitor India's disappearing forest cover


Using satellite monitoring data, researchers have developed a deep learning algorithm that could provide real-time monthly land use and land cover maps for parts of India.
Published UK woodlands could store almost twice as much carbon as previously estimated



UK forests could store almost double the amount of carbon than previous calculations suggest, with consequences for our understanding of carbon stocks and humanity's response to climate change, according to a new study.
Published Do polar bear paws hold the secret to better tire traction?


Traction is important. Humans have been continually interested in discovering how to better move across wet or frozen surfaces safely -- whether to improve shoes for walking on sidewalks or tires to maneuver the roadways. But what makes it possible for some Arctic animals to walk and run across the ice so effortlessly and gracefully without slipping and falling? Researchers took a deep dive into the paws of polar bears to find out. What the team discovered was that all bears (except sun bears) have papillae on their paw pads, but that the papillae on polar bears were taller -- up to 1.5 times. And, that the taller papillae of polar bears help to increase traction on snow relative to shorter ones. Even though polar bears have smaller paw pads compared to the other species (likely because of greater fur coverage for heat conservation), the taller papillae of polar bears compensate for their smaller paw pads, giving them a 30-50% increase in frictional shear stress.
Published Study shows how machine learning could predict rare disastrous events, like earthquakes or pandemics


Researchers suggest how scientists can circumvent the need for massive data sets to forecast extreme events with the combination of an advanced machine learning system and sequential sampling techniques.
Published Artificial Intelligence searches an early sign of osteoarthritis from an x-ray image


Researchers have developed an AI based neural network to detect an early knee osteoarthritis from x-ray images. AI was able to match a doctors' diagnosis in 87% of cases. The result is important because x-rays are the primary diagnostic method for early knee osteoarthritis. An early diagnosis can save the patient from unnecessary examinations, treatments and even knee joint replacement surgery.
Published New study finds logged tropical forests are surprisingly vibrant and need protection


New study examines the flow of ecological energy across old-growth forests, logged forests and oil palm. The study surveys mammal and bird species across these landscapes to calculate food energetic pathways: how photosynthetic energy cascades from sunlight to be distributed among organisms. Relative to energy flow in old-growth forests, study finds 2.5 times more total energy flows in logged forests. The study findings question the use of the word 'degraded' to describe logged tropical forests.
Published AI model proactively predicts if a COVID-19 test might be positive or not


A new study shows machine-learning models trained using simple symptoms, demographic features are effective in predicting COVID-19 infections.
Published Transplants can save dying coral reefs, but genetically diverse donors are key


Study uses lab-grown coral clones to determine why some coral thrive when transplanted onto coral reefs and others die.
Published Hummingbird flight could provide insights for biomimicry in aerial vehicles


Using a novel modeling method, a team of researchers gained new insights into how hummingbirds produce wing movement, which could lead to design improvements in flying robots.
Published A peculiar protected structure links Viking knots with quantum vortices



Mathematical analysis identifies a vortex structure that is impervious to decay.
Published Revealing the complex magnetization reversal mechanism with topological data analysis


The reliability of data storage and writing speed in advanced magnetic devices depend on drastic, complex changes in microscopic magnetic domain structures. However, it is extremely challenging to quantify these changes, limiting our understanding of magnetic phenomena. To tackle this, researchers developed, using machine learning and topology, an analysis method that quantifies the complexity of the magnetic domain structures, revealing hidden features of magnetization reversal that are hardly seen by human eyes.
Published Uncovering plant invasions in the tropics


An international collaboration of scientists has created the first inventory of flora introduced to the tropics, filling a knowledge gap about invasive plants in the tropics.
Published Curved spacetime in the lab


In a laboratory experiment, researchers have succeeded in realizing an effective spacetime that can be manipulated. In their research on ultracold quantum gases, they were able to simulate an entire family of curved universes to investigate different cosmological scenarios and compare them with the predictions of a quantum field theoretical model.
Published New study highlights urgent need to safeguard deep reefs -- one of the largest and least protected ecosystems


New study finds very few deep reefs have any form of protection, and face a multitude of threats, set only to escalate in the near future. Deep reefs are found below 30m and have a larger geographic range than shallow reefs. Deep reefs are biological hotspots, essential for climate change resilience, ocean health and food security, and a refuge for ocean life threatened in shallow waters.