Smarter learning, smarter AI: new method uses multidimensional graphs to personalize online education
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Oct-2026 19:15 ET (30-Oct-2026 23:15 GMT/UTC)
Researchers propose a unified learning resource recommendation method that goes beyond simple interaction data to model resource dependencies and individual learning abilities—outperforming existing approaches across multiple evaluation metrics.
A research team from Saitama University and Taisei Corporation has experimentally clarified how deformation-accommodating tunnel support systems behave under isotropic stress conditions that simulate squeezing ground. Using 1/20-scale laboratory tunnel support models, the team showed that yielding elements can absorb large tunnel deformations and that their installation position influences the deformation pattern of the entire support system.
- A research team led by Professor Jaewook Myung from the Department of Civil and Environmental Engineering identifies how algal blooms may hasten microplastic formation
- First study to elucidate the interaction between algal blooms and plastic pollution — points to a new direction for integrated environmental management in the era of climate change
Artificial intelligence developed by researchers at UCL has revealed a promising combination of cancer treatments that could help patients with locally advanced rectal cancer live longer.
A University of Texas at Dallas researcher has received more than $1 million in grants from the Cancer Prevention & Research Institute of Texas (CPRIT) to develop treatments for solitary fibrous tumor, or SFT. The rare cancer develops when two genes, NAB2 and STAT6, become fused together, resulting in signals that initiate cancer-cell growth. The cause is unknown. While no medications have been developed specifically for SFT, treatment typically involves surgery to remove the tumor and/or radiation.
In a new commentary published in Annals of Internal Medicine, Robert B. Shpiner, MD, a clinical professor of pulmonary and critical care at the David Geffen School of Medicine at UCLA, argues that the growing use of artificial intelligence chatbots for health information reflects both health system strain and a broader shift in how patients seek information.