LLU study associates higher mortality with eating lots of ultra-processed foods, red meat
Peer-Reviewed Publication
Loma Linda University Health researchers say high consumption of ultra-processed foods and, separately, high consumption of red meat may be important mortality indicators. Their recently published study adds to a growing body of knowledge about how ultra-processed foods and red meat impact human health and longevity.
In a recent study, Herman found that in the midst of traumatic societal events – such as a neighborhood shooting – positive classroom behavior management interventions may not have the desired outcomes for certain individuals who could be struggling with trauma or depression associated with such an event.
New study from Columbia Engineering computer scientists supports the Census Bureau’s switch to differential privacy as a de-identification mechanism for the 2020 Census. The researchers demonstrate that differential privacy is more effective than the old method of swapping, and better protects the privacy of minorities.
Machine learning happens a lot like erosion. Data is hurled at a mathematical model like grains of sand skittering across a rocky landscape. Some of those grains simply sail along with little or no impact. But some of them make their mark: testing, hardening, and ultimately reshaping the landscape according to inherent patterns and fluctuations that emerge over time. Effective? Yes. Efficient? Not so much. Rick Blum, the Robert W. Wieseman Professor of Electrical and Computer Engineering at Lehigh University, seeks to bring efficiency to distributed learning techniques emerging as crucial to modern artificial intelligence (AI) and machine learning (ML). In essence, his goal is to hurl far fewer grains of data without degrading the overall impact.
University of Central Florida researchers are developing new photonic materials that could one day help enable low power, ultra-fast, light-based computing. The unique materials, known as topological insulators, are like wires that have been turned inside out, where the current runs along the outside and the interior is insulated. In their latest work, published in the journal Nature Materials, the researchers demonstrated a new approach to create the materials that uses a novel, chained, honeycomb lattice design.
Using multiple methods and research contexts, new research finds that journalists and laypersons chronically describe racial and gender inequalities in terms of ethnic minority and female disadvantage, respectively, as opposed to white American and male advantage.
Researchers at Duke University have demonstrated that incorporating known physics into machine learning algorithms can help the inscrutable black boxes attain new levels of transparency and insight into material properties.