Tag: modeling

Small Number of Genes Have Big Impact on Fish Egg Quality

Thursday, May 15th, 2014 | Tags: , , , ,

NC State researchers have taken a big step toward solving a puzzle that has long vexed vertebrates – predicting egg quality, or the viability of embryos in eggs. Using gene expression data and computer modeling, the researchers examined farmed striped bass (Morone saxatilis) and showed that the coordinated interactions of less than 2 percent of

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Designing an Interactive Glimpse into the Past

Thursday, November 7th, 2013 | Tags: , ,

Editor’s Note: This is a guest post by David Hill, an associate professor of architecture at NC State, about the unveiling of a digital humanities project to create three-dimensional visual and acoustic models of the courtyard of St. Paul’s Cathedral in 17th century London. The Virtual Paul’s Cross Project recreates the reading of a sermon

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How Computer Models Help Keep the Lights On In Kenya

Thursday, September 12th, 2013 | Tags: , , , ,

In Kenya, water is power. Literally. And to keep the lights on, Kenyan authorities want to know how much water they can expect in upcoming rainy seasons. That’s where computer models come in. Fifty-eight percent of Kenya’s power supply stems from the country’s hydropower system in the Tana River basin. That system will shut down

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Wide Left: Study Shows that Holders Play Key Role in Field Goal Accuracy

Monday, September 9th, 2013 | Tags: , , ,

NFL and college football teams are back in action, and their success often hinges on the accuracy of their field goal kickers. When the field goals are made, kickers are heroes. When they miss, they’re goats. But a study by aerospace researchers shows that kickers aren’t always at fault – the way the ball is

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The Big Picture: Helping Companies Make Products We Actually Want

Tuesday, February 12th, 2013 | Tags: , ,

Researchers have developed a model that will, hopefully, help companies develop innovative products that people actually want to use. The model is a first step towards capturing the behavior of both companies and consumers, so that we end up with more iPods and fewer Edsels. This concept may sound obvious, but companies have difficulty grasping

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