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Categories: Energy: Nuclear, Mathematics: Statistics

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Technetium-99m is the world's most commonly used medical radioisotope, but regularly suffers from supply chain shortages, threatening the ability of doctors to diagnose a raft of ailments. But an alternative production technique looks set to make the radioisotope much more easily produced.

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Mathematicians have developed statistical methods that lay the framework for the crucial first step of determining whether there are any linkages between exposures and health outcomes from the 2010 Deepwater Horizon oil spill, which is considered the largest marine oil spill in the history of the U.S.

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The National Spherical Torus Experiment-Upgrade (NSTX-U) could serve as the model for a fusion energy pilot plant.

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Scientists have achieved the most precise measurement to date of the mass of the W boson, one of nature's force-carrying particles. The measured value shows tension with the value expected based on the Standard Model of particle physics.

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Researchers have developed a machine learning model that could better measure baseball players' and teams' short- and long-term performance, compared to existing statistical analysis methods for the sport. Drawing on recent advances in natural language processing and computer vision, their approach would completely change, and could enhance, the way the state of a game and a player's impact on the game is measured.

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Professional organizations in science, technology, engineering and mathematics (STEM) fields could more effectively collect data on underrepresented groups in their fields, according to a new survey. With more robust information, STEM organizations could better target efforts to recruit and retain a more diverse membership.

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Power functional theory is a new approach that makes it possible to describe precisely the dynamics of many-particle systems over time.

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Scientists have found a new way to 'see' inside the simplest atomic nuclei to better understand the 'glue' that holds the building blocks of matter together. The results come from collisions of photons (particles of light) with deuterons, the simplest atomic nuclei (made of just one proton bound to one neutron). The photons act somewhat like an x-ray beam to provide the first glimpse of how particles called gluons are arranged within the deuteron.

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An artificial intelligence (AI)-based computer algorithm accurately predicted a person's likelihood of suffering heart problems related to clogged arteries based on voice recordings alone.

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A new atomic nucleus 149-Lutetium, consisting of 71 protons and 78 neutrons, has been synthesized.

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Researchers have developed an algorithm that uses the most quantum bits to date to calculate ground state energy, the lowest-energy state in a quantum mechanical system. The discovery could make it easier to design new materials.

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Seismic and acoustic data recorded 50 meters away from a research nuclear reactor could predict whether the reactor was in an on or off state with 98% accuracy, according to a new study.

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A quantum ensemble -- a set of quantum states with their corresponding probabilities -- is essential to the encoding of classical information for transmission over quantum channels. But receivers must be able to 'guess' the transmitted quantum state, incurring a cost called 'guesswork.' Recently, researchers have derived analytical solutions of the guesswork problem for when the ensemble is subject to a finite set of conditions. The results constitute a first step towards future algorithms for quantum software.

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Scientists are evaluating machine-learning models using transfer learning principles.

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Do two promising structural materials corrode at very high temperatures when in contact with 'liquid metal fuel breeders' in fusion reactors? Researchers now have the answer. This high-temperature compatibility of reactor structural materials with the liquid breeder -- a lining around the reactor core that absorbs and traps the high energy neutrons produced in the plasma inside the reactor -- is key to the success of a fusion reactor design.

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To harness the forces that power the Sun, researchers heat fuel to such a high temperature that atoms melt into electrons and nuclei to form a hot, gaseous soup called plasma. The plasma can rip through any material on Earth, so it must be confined by magnetic fields -- but it can only be controlled for short periods. Now, in a first step to prolonged control, researchers have discovered that the underlying mechanism mirrors the unlikely biological predator-prey model.

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A new data analysis tool has revealed the specific immune cell types associated with increased risk of death from COVID-19.

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Researchers have developed a computationally efficient method that could be used to identify anomalies in the U.S. power grid in real time. The novel technique augments a special type of machine-learning model with a powerful graph structure, and does not require any labeled data to train.

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Scientists developed a neural network deep learning technique to extract hidden turbulent motion information from observations of the Sun. Tests on three different sets of simulation data showed that it is possible to infer the horizontal motion from data for the temperature and vertical motion. This technique will benefit solar astronomy and other fields such as plasma physics, fusion science, and fluid dynamics.

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Time for a road trip. You punch the destination into your GPS and choose the suggested route. But is this shortest route the safest? Not necessarily, according to new findings.