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Categories: Mathematics: General, Mathematics: Statistics
Published New super-fast flood model has potentially life-saving benefits
(via sciencedaily.com) Researchers have developed a new simulation model, which can predict flooding during an ongoing disaster more quickly and accurately than currently possible.
Published What do neurons, fireflies and dancing the Nutbush have in common?
(via sciencedaily.com) Synchronicity is all around us, but it is poorly understood. Computer scientists have now developed new tools to understand how human and natural networks fall in and out of sync.
Published Electrical noise stimulation applied to the brain could be key to boosting math learning
(via sciencedaily.com) Exciting a brain region using electrical noise stimulation can help improve mathematical learning in those who struggle with the subject, according to a new study.
Published Care robots: Ethical perceptions and acceptance
(via sciencedaily.com) The global population of people older than 65 years of age is rapidly increasing the need for care. Although care robots are a promising solution to fill in for caregivers, their social implementation has been slow and unsatisfactory. A team of international researchers has now developed the first universal model that can be employed across cultural contexts to explain how ethical perceptions affect the willingness to use care robots.
Published Quantum computer unveils atomic dynamics of light-sensitive molecules
(via sciencedaily.com) Researchers have implemented a quantum-based method to observe a quantum effect in the way light-absorbing molecules interact with incoming photons. Known as a conical intersection, the effect puts limitations on the paths molecules can take to change between different configurations. The observation method makes use of a quantum simulator, developed from research in quantum computing, and offers an example of how advances in quantum computing are being used to investigate fundamental science.
Published Researchers use mathematical modeling and dynamic biomarkers to characterize metastatic disease during adaptive therapy
(via sciencedaily.com) Researchers demonstrate how mathematical modeling combined with dynamic biomarkers can be used to characterize metastatic disease and identify appropriate therapeutic approaches to improve patient outcomes.
Published AI transformation of medicine: Why doctors are not prepared
(via sciencedaily.com) The success of artificial intelligence technologies depends largely on how physicians interpret and act upon a tool's risk predictions -- and that requires a unique set of skills that many are currently lacking, according to a new perspective article.
Published How good is that AI-penned radiology report?
(via sciencedaily.com) New study identifies concerning gaps between how human radiologists score the accuracy of AI-generated radiology reports and how automated systems score them. Researchers designed two novel scoring systems that outperform current automated systems that evaluate the accuracy of AI narrative reports. Reliable scoring systems that accurately gauge the performance of AI models are critical for ensuring that AI continues to improve and that clinicians can trust them.
Published Scientists uncover a surprising connection between number theory and evolutionary genetics
(via sciencedaily.com) An interdisciplinary team of mathematicians, engineers, physicists, and medical scientists has uncovered an unexpected link between pure mathematics and genetics, that reveals key insights into the structure of neutral mutations and the evolution of organisms.
Published Breakthrough in Monte Carlo computer simulations
(via sciencedaily.com) Researchers have developed a highly efficient method to investigate systems with long-range interactions that were previously puzzling to experts. These systems can be gases or even solid materials such as magnets whose atoms interact not only with their neighbors but also far beyond.
Published Efficient discovery of improved energy materials by a new AI-guided workflow
(via sciencedaily.com) Scientists have recently proposed a workflow that can dramatically accelerate the search for novel materials with improved properties. They demonstrated the power of the approach by identifying more than 50 strongly thermally insulating materials. These can help alleviate the ongoing energy crisis, by allowing for more efficient thermoelectric elements, i.e., devices able to convert otherwise wasted heat into useful electrical voltage.
Published Participating in genetic studies is in your genes
(via sciencedaily.com) Original source Why do some people take part in genetic studies while others do not? The answer may lie within our genetic makeup. According to a groundbreaking study, people who participate in genetic studies are genetically more likely to do so, leaving detectable 'footprints' in genetics data. This breakthrough equips researchers with the ability to identify and address participation bias, a significant challenge in genetic research.
Published Researcher turns one of the basic rules of construction upside down
(via sciencedaily.com) Original source Structural engineers are familiar with seventeenth-century scientist Robert Hooke's theory that a hanging chain will mirror the shape of an upstanding rigid arch. However, new research now shows that this common-held belief is incorrect because, regardless of the similarities, the hanging chain and the arch are two incompatible mechanical systems.
Published GPT detectors can be biased against non-native English writers
(via sciencedaily.com) Original source Researchers show that computer programs commonly used to determine if a text was written by artificial intelligence tend to falsely label articles written by non-native language speakers as AI-generated. The researchers caution against the use of such AI text detectors for their unreliability, which could have negative impacts on individuals including students and those applying for jobs.
Published Board games are boosting math ability in young children
(via sciencedaily.com) Board games based on numbers, like Monopoly, Othello and Chutes and Ladders, make young children better at math, according to a comprehensive review of research published on the topic over the last 23 years.
Published Number cruncher calculates whether whales are acting weirdly
(via sciencedaily.com) Original source We humans can be a scary acquaintance for whales in the wild. This includes marine biologists tagging them with measuring devices to understand them better. These experiences can make whales behave erratically for a while. Such behaviour can affect research quality and highlights an animal ethics dilemma. Now, researchers have figured out how to solve the problems with math.
Published Deciphering the thermodynamic arrow of time in large-scale complex networks
(via sciencedaily.com) A solution for temporal asymmetry -- or entropy production -- in thermodynamics has been developed to further our understanding of the behavior of biological systems, machine learning, and AI tools. The researchers worked on the time-irreversible Ising model dynamics caused by asymmetric connections between neurons.
Published Combining maths with music leads to higher scores, suggests review of 50 years of research
(via sciencedaily.com) Original source Children do better at maths when music is a key part of their lessons, an analysis of almost 50 years of research on the topic has revealed.
Published Evaluating cybersecurity methods
(via sciencedaily.com) Original source Researchers created a generic framework that enables an engineer or scientist to evaluate the effectiveness of defense schemes that seek to limit a hacker's ability to learn secret information by observing the behavior of a victim computer program.
Published Geologists are using artificial intelligence to predict landslides
(via sciencedaily.com) Original source Many factors influence where a landslide will occur, including the shape of the terrain, its slope and drainage areas, the material properties of soil and bedrock, and environmental conditions like climate, rainfall, hydrology and ground motion resulting from earthquakes. Geologists have developed a new technique that uses artificial intelligence to better predict where and why landslides may occur could bolster efforts to protect lives and property in some of the world's most disaster-prone areas. The new method improves the accuracy and interpretability of AI-based machine-learning techniques, requires far less computing power and is more broadly applicable than traditional predictive models.