Posts Tagged research finding

In the week running up to last month’s Marches for Science, students presented the results of their own projects at the annual Undergraduate Research Exposition.

Drosophila melanogaster—the common fruit fly—is widely used in laboratory experiments. But what Rochester researchers found when examining the guts of fruit flies in the wild bears little resemblance to what is seen in the lab.

A new pilot study finds that children with fetal alcohol spectrum disorders (FASD) and their families benefit from a multi-component intervention, with the biggest change seen on the parents’ abilities to respond to their children’s needs.

The Tibetan Plateau in China experiences some of the most extreme weather patterns on Earth, making it an ideal location for Rochester climate scientists to student the complex web of global climate patterns.

Study shows children also benefit when mothers receive therapy for depression. Part of the improvement is a result of shifting the mother’s vantage point with time-limited therapy that focuses on resolving symptoms and interpersonal issues.

For those suffering from dysphoria­—general unhappiness or elevated depressive symptoms—a Rochester study has found that experiencing or even just anticipating uplifting events in daily life was related to feeling less depressed that same day.

A new study shows that early experiences of environmental harshness, in combination with personal temperament, can shape the child’s problem-solving abilities later in life.

In the musical realm, notes “between the cracks” of conventional pitches are called blue notes. Researchers at Rochester are using advanced tools of music technology to unlock the secrets of blue notes.

Chunlei Guo and his team have used lasers to make materials extremely water repellent. Now the researchers can visualize, for the first time, the complete evolution of micro- and nanoscale structural formation on the material’s surface.

Machine learning provides computers with the ability to learn from labeled examples and observations of data. Researchers at Rochester are developing computer programs incorporating machine learning to teach robots and software to understand natural language and body language, make predictions from social media, and model human cognition.