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A Privacy Paradox: Why Do People So Readily Give Up Information Online?

In a study published in the latest Proceedings of Computer-Human Interaction (CHI 2020), a team of Penn State researchers identified a dozen subtle -- but powerful -- reasons that may shed light on why people talk a good game about privacy, but fail to follow up in real life.
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Wastewater Monitoring Gives Vital Clues About SARS-CoV-2 Spread

A new approach to monitoring SARS-CoV-2, known as wastewater-based epidemiology, mines sewage samples for vital clues about human health. It can potentially identify levels of coronavirus infection at both a local and global scale.
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Touch Restored to Spinal Cord Injury Patient Using Brain-Computer Interface

Researchers report that they have been able to restore sensation to the hand of a research participant with a severe spinal cord injury using a brain-computer interface (BCI) system.
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Rebuilding the Bridge Between Neuroscience and Artificial Intelligence

A half-century-old bridge between neuroscience and artificial intelligence has been rebuilt through a newly revealed ultrafast brain-inspired learning mechanism.
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First 3D Model of Microplastic Pollution

Scientists have developed the first three-dimensional mass estimate to show where microplastic pollution is collecting in Lake Erie. The study examines nine different types of polymers that are believed to account for 75 percent of the world’s plastic waste.
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Have Technological Advances Peaked?

Global acceleration of technology is now a thing of the past, according to a new study.
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Will There Be Enough Grass This Year?

A new online tool uses over 30 years of historical data to indicate whether grasslands are likely to produce above-normal, near-normal, or below-normal amounts of vegetation.
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Who's a Bot and Who's Not

A new study has revealed behavioral differences between social media bots and humans that could inform new machine learning algorithms for bot detection software.
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AI-driven Drug Discovery Strategies To Fight COVID-19

A large collaborative effort combines artificial intelligence with physics-based drug docking and molecular dynamics simulations to rapidly hone in on the most promising molecules to test in the lab, in the search for a therapeutic strategy against COVID-19.
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Risk Prediction Model Could Identify Those at Increased Risk of Pancreatic Cancer

A risk prediction model, combining genetic and clinical factors with circulating biomarkers, has identified people at significantly higher than normal risk of pancreatic cancer.
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