While the range of colors your eyes may perceive extends beyond the words language provides, languages around the globe are remarkably similar in how they partition the space of colors into a vocabulary. Yet differences exist. In a study examining 130 diverse languages around the world, University of Pennsylvania researchers developed an algorithm to infer the communicative needs that different linguistic communities place on colors.
- Proceedings of the National Academy of Sciences
University of Houston researchers have been awarded a National Science Foundation grant to conduct community-based research to design an algorithm-accountability benchmark for a wide range of algorithms used in public policy.
By giving the touch-and-inspect method a smart update, SUTD researchers have designed a sensor for autonomous cleaning robots that can quantify the cleanliness of a given area.
Higher risk of toxicity from 5-fluorouracil or capecitabine—chemotherapies commonly used to treat several cancers—has previously been shown in patients who have mutations in the DPYD gene. A new meta-analysis shows DPYD gene variants actually carry a 25-times increased risk of fatal toxicity in patients who receive standard doses of these chemotherapies. The study concludes that testing patients for DPYD gene variants prior to administering these chemotherapies would prevent avoidable deaths.
- The Oncologist
- Dartmouth-Hitchcock Cancer Research Fellows Program, NIH/National Cancer Institute, Dartmouth Clinical and Translational Science Institute, Dartmouth's Norris Cotton Cancer Center
Mathematical constructions of the action of SARS-CoV-2 and its multiple spikes, which enable its success at infecting cells, can give vaccine developers and pharmaceutical companies alike a more precise picture of what the virus is doing inside us and help fine tune prevention and treatment.
- Journal of Mathematical Analysis and Applications
One of the challenges in the era of Big Data is dealing with many independent variables, also known as the ‘curse of dimensionality’. Therefore, there is an urgent need to develop algorithms that can select subsets of features that are relevant and have high predictive powers. To address this issue, computer scientists at the University of Groningen developed a novel feature selection algorithm.
- Expert Systems with Applications