People often react negatively to health messages because they tend to dictate what we can and cannot do, but new research reveals that interactive media can soften negative reactions -- or reactance -- to health messages that are distributed online.
14-Jul-2021 10:20 AM EDT Add to Favorites
A Penn State-led team of researchers report they have taken a step toward overcoming the challenge of inexpensive hydrogen production by using supercomputers to find materials that could help accelerate hydrogen separation when water is exposed to...
16-Jun-2021 2:40 PM EDT Add to Favorites
As more people go online for shopping, understanding how they rely on e-commerce recommendation systems to make purchases is increasingly important. Penn State researchers now suggest that it’s not just what is recommended, but how and why it’s...
21-Apr-2021 9:40 AM EDT Add to Favorites
A team of researchers used geographic information systems — a collection of tools for geographic mapping and analysis of the Earth and society — and data from a government database on mafia ties during the 1960s, to examine how these networks...
14-Apr-2021 10:50 AM EDT Add to Favorites
Computers play an integral role in nearly every discipline of research today, giving scientists the ability to discover new drugs, develop new materials, forecast the impacts of climate change, and solve some of today’s most challenging problems.
7-Apr-2021 8:15 AM EDT Add to Favorites
Tweaking the look of a social media profile may subtly alter a person’s reaction to the health messages that appear on that site, according to researchers. They add that these reactions could influence whether the users heed the advice of those...
16-Mar-2021 2:10 PM EDT Add to Favorites
Deaths of family members may trigger ripple effects across family networks, reverberating in the lives of children in complex and, sometimes, unexpected ways.
In a study, the researchers found that deaths in the family can affect the educational...
9-Mar-2021 10:30 AM EST Add to Favorites
Doctors and healthcare workers may one day use a machine learning model, called deep learning, to guide their treatment decisions for lung cancer patients, according to a team of Penn State Great Valley researchers.
17-Feb-2021 9:30 AM EST Add to Favorites
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