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Categories: Geoscience: Landslides, Mathematics: Statistics

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The names might not be familiar -- Cowee Creek, Brabazon Range, Upper Pederson Lagoon -- but they mark the sites of recent lake tsunamis, a phenomenon that is increasingly common in Alaska, British Columbia and other regions with mountain glaciers. Triggered by landslides into small bodies of water, most of these tsunamis have occurred in remote locations so far, but geologists say it may just be a matter of time before a tsunami swamps a more populated place.

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Landslides are one of the most destructive natural disasters on the planet, causing billions of dollars of damage and devastating loss of life every year. A global team of researchers has provided help for those who work to predict landslides and risk evaluations.

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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.

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Researchers have developed a new method to predict the financial impacts climate change will have on agriculture, which can help support food security and financial stability for countries increasingly prone to climate catastrophes.

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Scientists have developed an automated workflow that could accelerate the discovery of new pharmaceutical drugs and other useful products. The new automated approach could analyze chemical reactions in real time and identify new chemical-reaction products much faster than current laboratory methods.

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If rivers overflow their banks, the consequences can be devastating -- just like the catastrophic floods in North Rhine-Westphalia and Rhineland-Palatinate of 2021 showed. In order to limit flood damage and optimize flood risk assessment, we need to better understand what factors can lead to extreme forms of flooding and to what extent. Using methods of explainable machine learning, researchers have shown that floods are more extreme when several factors are involved in their development.

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The period that liquid water was present on the surface of Mars may have been shorter than previously thought. Channel landforms called gullies, previously thought to be formed exclusively by liquid water, can also be formed by the action of evaporating CO2 ice, according to a new study.

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Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team has given neural networks the equivalent of an X-ray to uncover how they actually learn.

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Quantum sensor technology promises even more precise measurements of physical quantities. A team has now compared the signals of up to 91 quantum sensors with each other and thus successfully eliminated the noise caused by interactions with the environment. Correlation spectroscopy can be used to increase the precision of sensor networks.

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If storms become stronger in the future due to climate change, more nitrogen may be released from the bottom of coastal seas.

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Researchers have devised a way to remotely detect large landslides within minutes of occurrence and to quickly determine whether they are close to open water and present a tsunami hazard.

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A team of scientists has devised means for classical computing to mimic a quantum computing with far fewer resources than previously thought. The scientists' results show that classical computing can be reconfigured to perform faster and more accurate calculations than state-of-the-art quantum computers.

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IntelliGenes analyzes genomic data to discover biomarkers associated with health traits.

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Scientists were able to show that statistical models created by artificial intelligence (AI) predict very accurately whether a medication responds in people with schizophrenia. However, the models are highly context-dependent and cannot be generalized.

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Engineers have come up with a new way to teach robots to know when they don't know. The technique involves quantifying the fuzziness of human language and using that measurement to tell robots when to ask for further directions. Telling a robot to pick up a bowl from a table with only one bowl is fairly clear. But telling a robot to pick up a bowl when there are five bowls on the table generates a much higher degree of uncertainty -- and triggers the robot to ask for clarification.

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Clearing mangroves to stop estuaries getting clogged with mud actually makes the problem worse, new research shows.

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New maps of more than 1,000 deep-seated landslides in the Puget Lowlands of Washington State provide evidence of the last major earthquake along the Seattle Fault about 1,100 years ago -- and may also hold traces of older earthquakes along the fault.

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Single-photon emitters quantum mechanically connect quantum bits (or qubits) between nodes in quantum networks. They are typically made by embedding rare-earth elements in optical fibers at extremely low temperatures. Now, researchers have developed an ytterbium-doped optical fiber at room temperature. By avoiding the need for expensive cooling solutions, the proposed method offers a cost-effective platform for photonic quantum applications.

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Mathematicians have invented a new statistical tool to analyze multiple outcomes from clinical trials, replacing the 60-year-old standard tool that could only look at binary outcomes (survived/ did not survive). This will allow researchers to ask more complex research questions with trials that involve fewer patients, thereby streamlining the process of getting effective treatments to patients.

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A new study reveals the pitfalls of deep generative models when they are tasked with solving engineering design problems. The researchers say if mechanical engineers want help from AI for novel ideas and designs, they'll have to refocus those models beyond 'statistical similarity.'