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Changing global temperatures could mean lost productivity for workers around the globe, according to Nancy Sicotte, MD, chair of the Department of Neurology at Cedars-Sinai.

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New research shows brain imaging may be able to predict when a blood test known as a liquid biopsy would or would not produce clinically actionable information

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Applying deep learning to seismic data has revealed tremor and slip occur at all times—before and after known large-scale slow-slip earthquakes—rather than intermittently in discrete bursts, as previously believed.

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Wichita State University and WSU Ventures have entered into a new strategic partnership with California-based Lightning Diversion Systems (LDS), a Ducommun Company. The partnership involves the exclusive licensing of a lightning strike protection system for rotor blades in the wind turbine industry, the product of several years of research and development by LDS and Billy Martin, senior research scientist for WSU’s National Institute for Aviation Research, and his team in NIAR’s Environmental Test Lab.

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The American College of Sports Medicine (ACSM) Foundation welcomes recently elected new members to its board of directors.

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When chronic pain keeps children from being active and social, it’s no surprise that anxiety and depression can become unwelcome playmates. The good news: there is help, and it starts with recognizing that a problem exists.

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The University of Arkansas at Little Rock Center for Arkansas History and Culture has launched a virtual exhibit to commemorate the 1919 Elaine Massacre, the deadliest racial conflict in Arkansas history. The exhibit, “Elaine Race Massacre: Red Summer in Arkansas,” is an interactive experience based on historical resources, including photographs, scholarly essays, and educational resources that can be used by historians, teachers, and students.

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Researchers at The University of Texas at El Paso and El Paso Community College discovered that the Rio Grande is a “hotspot” for multidrug-resistant bacteria, antibiotic residues and antimicrobial resistant genes.

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New application of deep learning allows prediction of disruptions from raw, high-resolution data from fusion energy experiments.

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New UNLV study finds that drivers of flashy cars are less likely to yield for pedestrians.