If cramps, mood swings and ice cream binges are what come to mind when you hear the hackneyed phrase that time of the month, think again. Researchers at Concordia University are taking a new look at the menstrual cycle by ...
Social Sciences
Jul 10, 2012
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New research has analysed the mood of Twitter users in the UK and detected various changes in the mood of the public. In particular, the researchers observed a significant increase in negative mood, anger and fear, coinciding ...
Computer Sciences
Apr 16, 2012
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When they're in a positive mood, people tend to choose products that match their mood and their level of emotional arousal, according to a new study in the Journal of Consumer Research. But crabby, low-energy people will ...
Social Sciences
Mar 15, 2012
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Many psychiatric conditions are caused by aberrant metabolism of the neurotransmitter serotonin. Researchers in the Department of Pharmacy at LMU have now developed a new screening method, which will facilitate the search ...
Biochemistry
Sep 30, 2011
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Using Twitter to monitor the attitudes of 2.4 million people in 84 countries, Cornell University researchers found that people all over the world awaken in a good mood – but globally that cheer soon deteriorates once ...
Social Sciences
Sep 29, 2011
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New research has shown that happier orang-utans live longer which may shed light on the evolution of happiness in humans.
Plants & Animals
Jun 29, 2011
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Economic recessions are weaker, expansions are stronger, and economic recovery is faster in U.S. states where people are more optimistic says a new study from the University of Miami School of Business Administration. Further, ...
Economics & Business
May 25, 2011
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A new study of telephone customer service representatives shows just how important it is for employees to start the workday in a good mood.
Social Sciences
Apr 4, 2011
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Want to keep your boss happy? Smile at your customers. Want to keep yourself happy and productive? Smile like you mean it.
Social Sciences
Feb 22, 2011
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Measurements of the collective public mood derived from millions of tweets can predict the rise and fall of the Dow Jones Industrial Average up to a week in advance with an accuracy approaching 90 percent, Indiana University ...
Mathematics
Oct 19, 2010
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