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Categories: Geoscience: Earthquakes, Mathematics: Statistics
Published Cascadia Subduction Zone, one of Earth's top hazards, comes into sharper focus
(via sciencedaily.com) Original source A new study has produced the first comprehensive survey of the many complex structures beneath the seafloor in the Cascadia Subduction Zone, off British Columbia, Washington, Oregon and California. It is providing scientists with key insights into how future disasters may unfold.
Published Breaking ground: Could geometry offer a new explanation for why earthquakes happen?
(via sciencedaily.com) Original source Researchers are adding a new wrinkle to a long-held belief about what causes earthquakes in the first place.
Published New machine learning method can better predict spine surgery outcomes
(via sciencedaily.com) Original source Researchers combine AI and mobile health to predict recovery from lumbar spine surgery.
Published High groundwater depletion risk in South Korea in 2080s
(via sciencedaily.com) Original source Team utilizes advanced statistical techniques to project the future groundwater depletion risk.
Published Safeguarding urban infrastructure from subsidence and liquefaction risks
(via sciencedaily.com) Original source During an earthquake, soil can weaken through subsidence and liquefaction. These processes can cause buildings to collapse as the soil becomes unable to support their weight. Researchers have now developed a model that predicts soil-bearing strength and thickness to identify stable construction sites and reduce structural risks. Additionally, the model can also predict other soil conditions in real-time and function as an early-warning system to identify potential hazards.
Published Understanding the mechanisms for local amplification of 2024 tsunamis in Iida Bay
(via sciencedaily.com) Original source Researchers uncover the unique mechanisms that resulted in severe tsunamis in Iida Bay caused by the 2024 Noto Peninsula Earthquake. The recent tsunamis in Iida Bay were locally amplified due to various factors, including ocean floor topology, the shape of the coastline, the location of coastal facilities, and seismic mechanisms associated with earthquakes, report scientists.
Published 'Fossilizing' cracks in infrastructure creates sealing that can even survive earthquakes
(via sciencedaily.com) Original source In a new study, a team of researchers used research on fossilizing techniques to create a new method for sealing cracks and fractures in rocks and bedrock using a 'concretion-forming resin'. This innovative technique has applications in a wide range of industries, from tunnel construction to long-term underground storage of hazardous materials.
Published Improving statistical methods to protect wildlife populations
(via sciencedaily.com) Original source 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 Highly sensitive fiber optic gyroscope senses rotational ground motion around active volcano
(via sciencedaily.com) Original source Researchers have built a prototype fiber optic gyroscope for high resolution, real-time monitoring of ground rotations caused by earthquakes in the active volcanic area of Campi Flegrei in Naples, Italy. A better understanding of the seismic activity in this highly populated area could improve risk assessment and might lead to improved early warning systems.
Published Subduction zone splay faults compound hazards of great earthquakes
(via sciencedaily.com) Original source Groundbreaking research has provided new insight into the tectonic plate shifts that create some of the Earth's largest earthquakes and tsunamis.
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.
Published Simulating diffusion using 'kinosons' and machine learning
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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 Century of statistical ecology reviewed
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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 Heavy snowfall and rain may contribute to some earthquakes
(via sciencedaily.com) Original source Episodes of heavy snowfall and rain likely contributed to a swarm of earthquakes over the past several years in northern Japan, researchers find. Their study shows climate conditions could initiate some earthquakes.
Published Pore pressure diffusion led to microseismicity at Illinois basin carbon sequestration site
(via sciencedaily.com) Original source Pore pressure diffusion generated by carbon dioxide injected underground at a carbon storage site in the Illinois Basin is the likely cause of hundreds of microearthquakes that took place at the site between 2011 and 2012, according to a new analysis.
Published Researchers show that slow-moving earthquakes are controlled by rock permeability
(via sciencedaily.com) Original source A research group explores how the makeup of rocks, specifically their permeability -- or how easily fluids can flow through them -- affects the frequency and intensity of slow slip events. Slow slips' role in the earthquake cycle may help lead to a better model to predict when earthquakes happen.
Published Do earthquake hazard maps predict higher shaking than actually occurred?
(via sciencedaily.com) Original source A research team studied earthquake hazard maps from five countries and found that all the maps seemed to overpredict the historically observed earthquake shaking intensities. In analyzing the possible causes, the researchers discovered the issue was with the conversion equations used in comparing the maps predicting future quakes with actual shaking data, rather than systemic problems with the hazard modeling itself.
Published AI deciphers new gene regulatory code in plants and makes accurate predictions for newly sequenced genomes
(via sciencedaily.com) Original source Elucidating the relationship between the sequences of non-coding regulatory elements and their target genes is key to understanding gene regulation and its variation between plant species and ecotypes. Now, an international research team developed deep learning models that link gene sequence data with mRNA copy number for several plant species and predicted the regulatory effect of gene sequence variation.