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Categories: Energy: Nuclear, Mathematics: Statistics

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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.' 

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The results of the Chi-Nu physics experiment at Los Alamos National Laboratory have contributed essential, never-before-observed data for enhancing nuclear security applications, understanding criticality safety and designing fast-neutron energy reactors.

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An international research team has taken a decisive step toward a new generation of atomic clocks. The researchers have created a much more precise pulse generator based on the element scandium, which enables an accuracy of one second in 300 billion years -- that is about a thousand times more precise than the current standard atomic clock based on caesium.

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New research is challenging the scientific status quo on the limits of the nuclear chart in hot stellar environments where temperatures reach billions of degrees Celsius.

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The neutron-rich oxygen isotopes oxygen-27 and oxygen-28 exist as very short-lived resonances, report scientists based on the first observation of their decay into oxygen-24 and three and four neutrons, respectively. Notably, the oxygen-28 nucleus is found not to be 'doubly magic' as expected in the standard shell-model picture. This study provides valuable insights into the nuclear structure.

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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.

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A team of scientists developed a new quantum-mechanics-based approach to predict metal ductility. The team demonstrated its effectiveness on refractory multi-principal-element alloys.

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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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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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Researchers have discovered that nuclear spin influences biological processes, challenging long-held beliefs. They found that certain isotopes behave differently in chiral environments, affecting oxygen dynamics and transport. This breakthrough could advance biotechnology, quantum biology, and NMR technology, with potential applications in isotope separation and medical imaging.

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Heat load mitigation is critical to extending the lifetime of future fusion device. Researchers have found a way to explain the rotational temperatures measured in three different experimental fusion devices in Japan and the United States. Their model evaluates the surface interactions and electron-proton collisions of hydrogen molecules.

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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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Putting a suite of new materials synthesis and characterization methods to the test, a team of scientists has developed 14 organic-inorganic hybrid materials, seven of which are entirely new.

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A team researchers has discovered molecular crystals capable of capturing iodine -- one of the most common radioactive fission products -- and other pollutants. The versatile crystals could be used for nuclear waste management and other energy-related applications and move the world closer to a net-zero future.

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Researchers announce the first observation of a self-healing metal. If harnessed, the newly discovered phenomenon could someday lead to engines, bridges and airplanes that reverse damage caused by wear and tear, making them safer and longer-lasting.

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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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Scientists have applied a promising new method to search for dark matter particles in a particle accelerator. The method is based on the observation of the spin polarization of a particle beam in a storage ring COSY.

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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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New research into public attitudes towards alternative shipping fuels shows public backing for biofuel and hydrogen. The study also found that nuclear was preferred to the heavy fuel oil (HFO) currently used in the global shipping industry, although both were perceived negatively. Ammonia had the least public support.