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Categories: Environmental: Wildfires, Mathematics: Statistics
Published Balancing act: Novel wearable sensors and AI transform balance assessment



Traditional methods to assess balance often suffer from subjectivity, aren't comprehensive enough and can't be administered remotely. They also are expensive and require specialized equipment and clinical expertise. Using wearable sensors and advanced machine learning algorithms, researchers offer a practical and cost-effective solution for capturing detailed movement data, essential for balance analysis. This approach is more accessible and can be administered remotely, which could have significant implications for health care, rehabilitation, sports science or other fields where balance assessment is important.
Published Wildfires increasingly threaten oil and gas drill sites, compounding potential health risks



More than 100,000 oil and gas wells across the western U.S. are in areas burned by wildfires in recent decades, a new study has found, and some 3 million people live next to wells that in the future could be in the path of fires worsened by climate change.
Published Fuel treatments reduce future wildfire severity



There is a common belief that prescribed burning, thinning trees, and clearing underbrush reduce risks of the severity of future fires. But is that true? A new project analyzing 40 studies where wildfire burned into different vegetation treatments, spanning 11 western states. Researchers found overwhelming evidence that in seasonally dry mixed conifer forests in the western U.S., reducing surface and ladder fuels and tree density through thinning, coupled with prescribed burning or pile burning, could reduce future wildfire severity by more than 60% relative to untreated areas.
Published Large wildfires create weather that favors more fire



A new study shows soot from large wildfires in California traps sunlight, making days warmer and drier than they ought to be.
Published New way to spot beetle-killed spruce can help forest, wildfire managers



A new machine-learning system can automatically produce detailed maps from satellite data to show locations of likely beetle-killed spruce trees in Alaska, even in forests of low and moderate infestation where identification is otherwise difficult. The automated process can help forestry and wildfire managers in their decisions. That's critical as the beetle infestation spreads.
Published Fighting fires from space in record time: How AI could prevent devastating wildfires



Scientists are getting closer to detecting bushfires in record time, thanks to cube satellites with onboard AI now able to detect fires from space 500 times faster than traditional on-ground processing of imagery.
Published New machine learning method can better predict spine surgery outcomes



Researchers combine AI and mobile health to predict recovery from lumbar spine surgery.
Published Novel mobile air monitoring technology yields greater insight into post-disaster pollution levels



A team has found that high resolution mass spectrometry could be a valuable tool for identifying and assessing air-borne contaminants produced by natural and human-made disasters.
Published High groundwater depletion risk in South Korea in 2080s



Team utilizes advanced statistical techniques to project the future groundwater depletion risk.
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 Smoke covered 70% of California during biggest wildfire years



As much as 70 percent of California was covered by wildfire smoke during parts of 2020 and 2021, according to a new study.
Published Improving statistical methods to protect wildlife populations



In human populations, it is relatively easy to calculate demographic trends and make projections of the future if data on basic processes such as births and immigration is known. The data, given by individuals, can be also death and emigration, which subtract. In the wild, on the other hand, understanding the processes that determine wildlife demographic patterns is a highly complex challenge for the scientific community. Although a wide range of methods are now available to estimate births and deaths in wildlife, quantifying emigration and immigration has historically been difficult or impossible in many populations of interest, particularly in the case of threatened species.
Published Scientists use generative AI to answer complex questions in physics



Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches.
Published Simulating diffusion using 'kinosons' and machine learning



Researchers have recast diffusion in multicomponent alloys as a sum of individual contributions, called 'kinosons.' Using machine learning to compute the statistical distribution of the individual contributions, they were able to model the alloy and calculate its diffusivity orders of magnitude more efficiently than computing whole trajectories.
Published Artificial intelligence tool detects male-female-related differences in brain structure



Artificial intelligence (AI) computer programs that process MRI results show differences in how the brains of men and women are organized at a cellular level, a new study shows. These variations were spotted in white matter, tissue primarily located in the human brain's innermost layer, which fosters communication between regions.
Published How wildfires change soil chemistry



Severe wildfires can drive chemical changes in soil that affect ecosystem recovery and risks to human health. A new study finds broader surveillance and modeling of these changes could inform strategies for protecting lives, property and natural resources, and managing wildlife.
Published Century of statistical ecology reviewed



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



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 Improved wildfire smoke model identifies areas for public health intervention



The Canadian wildfires of June 2023 exposed a large portion of the Northeastern United States to unprecedented levels of smoke. A new model that combines wildfire smoke forecasts and data from ground-based sensors may help public health officials plan targeted interventions in areas most at risk for the negative health effects of unexpected smoke events and air pollution, according to scientists.
Published Wildfires in wet African forests have doubled in recent decades



Climate change and human activities like deforestation are causing more fires in central and west Africa's wet, tropical forests, according to the first-ever comprehensive survey there. The fires have long been overlooked.