Add BrightSurf on Google Email

City College of New York


Population genomics unveil seahorse domain

Researchers have determined that seahorses are more permanent residents of the western mid-Atlantic Ocean than previously thought. The study used genomic data to infer three genetically divergent subpopulations, strongly supporting Virginia Province inhabitants as a historically persistent ancestral gene pool.

SourceCity College of New York·JournalPLOS ONE·DateJan 30, 2015

Breakthrough lights up metamaterials

A City College of New York led-team successfully demonstrated enhancing light emission and capturing light from metamaterials with light emitting nanocrystals. The breakthrough could lead to practical applications in ultrafast LEDs, nanoscale lasers, and efficient single photon sources.

SourceCity College of New York·JournalOptica·DateJan 15, 2015

CCNY psychologist links burnout and depression

A study by City College of New York psychology Professor Irvin Schonfeld found a strong connection between burnout and depression in school teachers. 90% of the subjects identified as burned out met diagnostic criteria for depression, highlighting the overlap between the two conditions.

SourceCity College of New York·JournalInternational Journal of Stress Management·DateDec 15, 2014

CCNY team defines new biodiversity metric

A CCNY team developed a new biodiversity metric to quantify phylogeographic endemism, which measures the restriction of genetic variation within species in geographical space. The research analyzed 25 vertebrates in the Brazilian Atlantic rainforest and found that current climatic heterogeneity explains endemism in southern forests.

Brainwaves can predict audience reaction

A study at City College of New York found that analyzing the brainwaves of a few individuals can accurately predict preferences of large TV audiences. The researchers used electroencephalography (EEG) to capture brain activity while participants watched scenes from 'The Walking Dead' and Super Bowl commercials.

SourceCity College of New York·JournalNature Communications·DateJul 29, 2014

CCNY team models sudden thickening of complex fluids

The CCNY team created a model that predicts how resistance changes in relation to stirring speed, which can help improve the processing of materials in suspension. The model modifies classical fluid mechanics approaches to include forces resulting from friction, allowing for accurate reproduction of experimental observations.

SourceCity College of New York·JournalPhysical Review Letters·DateJan 16, 2014