Tag: research finding
A team led by Robert Boyd has demonstrated that the transparent, electrical conductor indium tin oxide can result in up to 100 times greater nonlinearity than other known materials, a potential ‘game changer’ for photonics applications.
Are humans unique and alone in the vast universe? This question– summed up in the famous Drake equation–has for a half-century been one of the most intractable and uncertain in science. But a new paper shows that the recent discoveries of exoplanets combined with a broader approach to the question makes it possible to assign a new empirically valid probability to whether any other advanced technological civilizations have ever existed.
Medical Center researchers have uncovered a new mechanism of bone erosion and a possible biomarker for rheumatoid arthritis. The group is the first to demonstrate that immune cells, called B cells, contribute directly to the breakdown of bone.
A new study coauthored by accounting professor Sudarshan Jayaraman predicts that access to cross-border financing by multinational firms reduces the firms’ reliance on domestic banks, causing those banks to take on more risk to remain competitive.
Medical Center researchers have developed a new and highly efficient method for gene transfer that could successfully deliver DNA into tens of thousands of cells simultaneously.
The secretion of fluids such as saliva and digestive juices is vital to keeping our bodies running day and night. A new study at the School of Medicine and Dentistry uncovers a previously mysterious process that makes these secretions possible.
Rochester researchers have developed a new conceptual framework for understanding how stars similar to our Sun evolve. Their framework helps explain how the rotation of stars, their emission of x-rays, and the intensity of their stellar winds vary with time. According to Eric Blackman, professor of physics and astronomy, the work could also “ultimately help to determine the age of stars more precisely than is currently possible.”
Computer science graduate student Nabil Hossain and his collaborators have taught computers to analyze tweets about drinking to determine if people were actually drinking at the time they were tweeting and if they were tweeting from home or some other location.