A team at XPANCEO has developed a way to turn advanced materials into clean, stable inks, pointing toward sensors that can be drawn by hand and, in time, become the functional layers of a smart contact lens. 

While political polling and other research often treat Asian Americans as one homogenous group, they comprise various ethnic subgroups with much diversity in their political leanings, income levels and other factors. Illinois scholar Ting-Syuan Lin examined how political and other forms of segregation may be shaping Asian Americans' living experiences and voting behavior.

Agricultural education researchers surveyed 793 school-based agricultural educators in 13 Southern states, Puerto Rico and the U.S. Virgin Islands to learn more about their levels of awareness to farm stressors and suicide warning signs. The results paint a largely encouraging picture, because they showed that school-based agricultural educators generally recognized most suicide warning signs and farm stressors. However, an unexpected finding was that school-based ag teachers described as “urban” were among the groups who were more likely to recognize farm stressors than teachers from “rural” communities.

Forest canopies are more than just a ceiling of leaves—they are living archives of ecosystem health, carbon storage, and biodiversity. 

Remote sensing has long tracked what plants look like from above—but whether it can see their genetic makeup has remained an open question. 

Threedimensional pointcloud technology can capture plant architecture in vivid detail, but no existing model has been able to reliably separate stems from leaves across an entire crop’s life cycle—from the first true leaf to full reproductive maturity. 

A fully phased, chromosome-level genome assembly of a wild Tibetan cannabis accession has revealed that extensive genetic differences between the two inherited chromosome copies—known as haplotypes—are a major driver of the plant's diverse medicinal compound profile.

Accurate river water level estimation is crucial for flood prevention, disaster mitigation and water resource management, yet strong non-stationarity and nonlinearity in complex plain river-network regions pose significant challenges to conventional approaches.