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Categories: Environmental: Wildfires, Mathematics: General
Published Researchers develop predictive model for cross-border COVID spread
(via sciencedaily.com) Original source Post-COVID research has extensively focused on the efficacy of internal travel restrictions and cross-border travel has received less attention due to challenges in accessing quality data. In a major multidisciplinary collaboration effort across Finland, Sweden, Norway, and Denmark, a group of researchers -- including mathematicians, physicists and computer scientists -- have published a pioneering study on the spread of infections across Nordic borders from spring until the end of 2020. The report sheds light on the efficacy of cross-border travel restrictions, helping us better understand which measures actually make a difference.
Published Wildfires increasingly threaten oil and gas drill sites, compounding potential health risks
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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 Can AI learn like us?
(via sciencedaily.com) Original source Scientists have developed a new, more energy-efficient way for AI algorithms to process data. His model may become the basis for a new generation of AI that learns like we do. Notably, these findings may also lend support to neuroscience theories surrounding memory's role in learning.
Published A railroad of cells
(via sciencedaily.com) Original source Looking under the microscope, a group of cells slowly moves forward in a line, like a train on the tracks. The cells navigate through complex environments. A new approach now shows how they do this and how they interact with each other.
Published Large wildfires create weather that favors more fire
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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 Peers crucial in shaping boys' confidence in math skills
(via sciencedaily.com) Original source Boys are good at math, girls not so much? A study has analyzed the social mechanisms that contribute to the gender gap in math confidence. While peer comparisons seem to play a crucial role for boys, girls' subjective evaluations are more likely to be based on objective performance.
Published Fighting fires from space in record time: How AI could prevent devastating wildfires
(via sciencedaily.com) Original source 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 model allows a computer to understand human emotions
(via sciencedaily.com) Original source Researchers have developed a model that enables computers to interpret and understand human emotions, utilizing principles of mathematical psychology. In the future, the model can help the computer to adapt its own behavior and guide an irritated or anxious user in different ways. The implications of such technology are profound, offering a glimpse into a future where computers are not merely tools, but empathetic partners in user interaction.
Published New open-source platform allows users to evaluate performance of AI-powered chatbots
(via sciencedaily.com) Original source Researchers have developed a platform for the interactive evaluation of AI-powered chatbots such as ChatGPT. A team of computer scientists, engineers, mathematicians and cognitive scientists developed an open-source evaluation platform called CheckMate, which allows human users to interact with and evaluate the performance of large language models (LLMs).
Published Unraveling the physics of knitting
(via sciencedaily.com) Original source A team used experiments and simulations to quantify and predict how knit fabric response can be programmed. By establishing a mathematical theory of knitted materials, the researchers hope that knitting -- and textiles in general -- can be incorporated into more engineering and manufacturing applications.
Published The embryo assembles itself
(via sciencedaily.com) Original source Biological processes depend on puzzle pieces coming together and interacting. Under specific conditions, these interactions can create something new without external input. This is called self-organization, as seen in a school of fish or a flock of birds. Interestingly, the mammalian embryo develops similarly. Scientists now introduce a mathematical framework that analyzes self-organization from a single cell to a multicellular organism.
Published Groundbreaking progress in quantum physics: How quantum field theories decay and fission
(via sciencedaily.com) Original source An international research team has sparked interest in the scientific community with results in quantum physics. In their current study, the researchers reinterpret the Higgs mechanism, which gives elementary particles mass and triggers phase transitions, using the concept of 'magnetic quivers.'
Published AI-controlled stations can charge electric cars at a personal price
(via sciencedaily.com) Original source As more and more people drive electric cars, congestion and queues can occur when many people need to charge at the same time. A new study shows how AI-controlled charging stations, through smart algorithms, can offer electric vehicle users personalized prices, and thus minimize both price and waiting time for customers. But the researchers point to the importance of taking the ethical issues seriously, as there is a risk that the artificial intelligence exploits information from motorists.
Published Novel mobile air monitoring technology yields greater insight into post-disaster pollution levels
(via sciencedaily.com) Original source 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 Aerosol pollution, greenhouse gases must be reduced simultaneously to keep forest fires in check
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source As much as 70 percent of California was covered by wildfire smoke during parts of 2020 and 2021, according to a new study.
Published Math discovery provides new method to study cell activity, aging
(via sciencedaily.com) Original source New mathematical tools revealing how quickly cell proteins break down are poised to uncover deeper insights into how we age, according to a recently published paper.
Published Scientists use generative AI to answer complex questions in physics
(via sciencedaily.com) Original source 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.