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Grouping of immune cell receptors could help decode patients’ personal history of infection
Novel software for grouping immunological T-cell receptors may enable the identification of shared patterns that could be used to determine if a person has previously been infected or vaccinated against a given pathogen. While tests measuring antibodies against a pathogen are often used to detect signs of a previous infection, it is more difficult for…
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Preventing cyber security attacks lies in strategic, third-party investments
Companies interested in protecting themselves and their customers from cyber-attacks need to invest in themselves and the vendors that handle their data, according to new research. The study, conducted by Jay Simon and Ayman Omar from the university’s Kogod School of Business, was accepted for publication by the European Journal of Operation Research. They found…
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Financial abuse of older adults by family members more common than scams by strangers
A new analysis of resource line calls identifies financial abuse of older adults by family members as more common than scams by strangers. Using a unique source of frontline data — instances of elder abuse reported to the National Center on Elder Abuse (NCEA) resource line, Keck School researchers were able to identify the most…
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Neural network model shows why people with autism read facial expressions differently
People with autism spectrum disorder interpret facial expressions differently. Researchers have revealed more about how this comes to be. They induced abnormalities into a neural network model to explore the effects on the brain’s learning development. Using a neural network model that reproduces the brain on a computer, a group of researchers based at Tohoku…
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Scientists take new spin on quantum research
Researchers discovered a way to further enhance quantum systems to provide soldiers with more reliable and secure capabilities on the battlefield. Specifically, this research informs how future quantum networks will be designed to deal with the effects of noise and decoherence, or the loss of information from a quantum system in the environment. As one…
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Observation of quantum transport at room temperature in a 2.8-nanometer CNT transistor
A research team has developed an in situ transmission electron microscopy (TEM) technique that can be used to precisely manipulate individual molecular structures. Using this technique, the team succeeded in fabricating carbon nanotube (CNT) intramolecular transistors by locally altering the CNT’s helical structure, thereby making a portion of it to undergo a metal-to-semiconductor transition in…
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Gravitational waves could prove the existence of the quark-gluon plasma
According to modern particle physics, matter produced when neutron stars merge is so dense that it could exist in a state of dissolved elementary particles. This state of matter, called quark-gluon plasma, might produce a specific signature in gravitational waves. Physicists have now calculated this process using supercomputers. In 2017 it was discovered for the…
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Study demonstrates feasibility of hologram technology in liver tumor ablation
Data from one of the first clinical uses of augmented reality guidance with electromagnetically tracked tools shows that the technology may help doctors quickly, safely, and accurately deliver targeted liver cancer treatments, according to new research. «Converting traditional two-dimensional imaging into three-dimensional holograms which we can then utilize for guidance using augmented reality helps us…
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New tool shows main highways of disease development
A new tool enables researchers to explore disease patterns from 7.2 million patients spanning 25 years. The tool is freely available for the scientific community and requires no prerequisite bioinformatics or medical informatics skills. «A lot of research focus is on investigating one disease at a time. We try to add a time perspective and…
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Artificial intelligence identifies individuals at risk for heart disease complications
For the first time, University of Utah Health scientists have shown that artificial intelligence could lead to better ways to predict the onset and course of cardiovascular disease. The researchers, working in conjunction with physicians from Intermountain Primary Children’s Hospital, developed unique computational tools to precisely measure the synergistic effects of existing medical conditions on…