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Categories: Geoscience: Geomagnetic Storms, Mathematics: Statistics

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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.

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Geophysicists studied the activity of high energy electrons and clarified the unexpected protective role of the geomagnetic field surrounding the Earth.

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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.

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Earth is rapidly warming and scientists are developing a variety of approaches to reduce the effects of climate change. An astronomer has proposed a novel approach -- a solar shield to reduce the amount of sunlight hitting Earth, combined with a tethered, captured asteroid as a counterweight. Engineering studies using this approach could start now to create a workable design that could mitigate climate change within decades.

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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.

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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.

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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.

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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.

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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.

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In the space of a few months generative AI models, such as ChatGPT, Google's Bard and Midjourney, have been adopted by more and more people in a variety of professional and personal ways. But growing research is underlining that they are encoding biases and negative stereotypes in their users, as well as mass generating and spreading seemingly accurate but nonsensical information. Worryingly, marginalized groups are disproportionately affected by the fabrication of this nonsensical information.

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How do asset markets work? Which stocks behave similarly? Economists, physicists, and mathematicians work intensively to draw a picture but need to learn what is happening outside their discipline. A new paper now builds a bridge.

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Miniaturization is progressing rapidly in just any field and the trend towards the creation of ever smaller units is also prevalent in the world of robot technology. In the future, minuscule robots used in medical and pharmaceutical applications might be able to transport medication to targeted sites in the body. Statistical physics can contribute to the foundations for the development of such technologies.

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Scientists have developed a software package to help answer key questions about genetic factors associated with shared characteristics among different species.

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Researchers have mapped the sparse life hidden away in salt domes, rocks and crystals at Salar de Pajonales at the boundary of the Chilean Atacama Desert and Altiplano. Then they trained a machine learning model to recognize the patterns and rules associated with their distributions so it could learn to predict and find those same distributions in data on which it was not trained. In this case, by combining statistical ecology with AI/ML, the scientists could locate and detect biosignatures up to 87.5 percent of the time and decrease the area needed for search by up to 97 percent.

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Researchers have created and preliminarily tested what they believe may be one of the first models for predicting who has the highest probability of being resistant to COVID-19 in spite of exposure to SARS-CoV-2, the virus that causes it.

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Researchers tested a large sample of the major AI technologies available today and found that not only did they reproduce human biases in facial age recognition, but they exaggerated those biases.

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Synthetic populations are computer-generated models that mimic real-world populations in terms of characteristics such as age, gender, and occupation; they are useful when conducting social simulations. In a recent study, researchers developed a new approach to assign workplaces to individuals in a synthetic Japanese population with household information, based on ODI (Origin-Destination-Industry) data. Their efforts will enable more accurate, realistic simulations of the day-time distribution of workers in Japan, helping to improve decision-making and planning.

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Disturbances to Earth's magnetic field can lead birds astray -- a phenomenon scientists call 'vagrancy' -- even in perfect weather, and especially during fall migration. While other factors such as weather likely play bigger roles in causing vagrancy, researchers found a strong correlation between birds that were captured far outside of their expected range and the geomagnetic disturbances that occurred during both fall and spring migrations.

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A new paper presents a mathematical model for the motion of bacteria that includes cell division and death, the basic ingredients of the cell cycle.

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As the supersonic solar wind surges towards Earth, its interaction with our planet's magnetic field creates a shock to deflect its flow, and a foreshock filled with electromagnetic waves. How these waves can propagate to the other side of the shock has long remained a mystery.