Food which product was originally marketed as an "esteemed brain...

which product was originally marketed as an “esteemed brain tonic & intellectual beverage”?

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Poor brain function has been linked to poor concentration, decreased memory, and a weakened ability to respond to stress. Prioritizing good brain health means knowing the best foods for your brain! In this article, we take a look at some of the known benefits of these five fruits and veggies.

Pomegranates have been shown to reduce negative effects on cognitive ability by maintaining proper blood flow in the brain. Grapefruit is an excellent source of vitamin C which is an essential antioxidant for any type of cell in your body including those that are located in the brain. Lycopene in tomatoes helps to prevent various cancers, including the most deadly one — breast cancer. Folic acid is another B vitamin that is essential in the production of DNA and proteins. Fiber (found in fruits such as apples, strawberries, broccoli, and carrots) has been shown to improve brain function and cognition in older adults.

If you want to boost your brain power, eat whole fruit (not juice), and veggies!

Sources: Medscape; Harvard Health Publications; WebMD; Mayo Clinic’s Cancer Center; University of Maryland Medical Center

marketed 1624947697
supermarket, stalls, coolers @ Pixabay

Computer scientists at the University of California San Diego (UCSD) have developed a neural network that can predict which movies will be a failure before they are even released. The algorithm is said to be based on how much the film’s cast and crew are likely to have worked on other projects that were successful.

The team of researchers analyzed the information available about each movie released between 2007 and 2012: box office sales; the production budget, as well as information about the genre, country or language of the film; and how many people worked on it. The research was published in a paper titled “Breaking Down Walls: Predicting Success of Movies Using Production Data” [http://arxiv.org/abs/1404.5378].

So what do successful movies have in common? According to their analysis, films with relatively simple screenplays tend to perform well at the box office. The team also observed that big budget but low-earning movies have something in common: the more people who worked on them, the less money they made. The researchers speculate that this could be due to actors choosing roles in movies they think are likely to be successful. This means that if a film has a lot of cast and crew who worked on high-grossing films, it is likely to be successful too.

The team also discovered that movies with younger casts do not tend to make as much money as those with an older demographic. One possible explanation is that films featuring younger actors are generally lower budget movies, which the research shows don’t perform as well as larger projects.

The software used to mine the data was written the by same team who developed an algorithm that can accurately determine a movie’s success based on its trailer. This is a feature film director David Fincher and Netflix have both expressed interest in using. Of course, there are still plenty of other factors that can influence a movie’s success, such as its marketing campaign; time of release; and how it is received by critics.

“We see this research as a potential way to boost profits from Hollywood movies,” said the paper’s co-author Alex Berg. “It has the potential to reshape how we make films. You can optimize the people you hire, the script you write and how many scenes there are.” Now call the Nobel committee and hand these guys a prize!

marketed 1624947704
bazaar, booth, bracelets @ Pixabay

Source: Alex Berg; University of California San Diego (UCSD) [http://goo.gl/a0IAKq]; The Guardian [http://goo.gl/YQNrt9]

Identifying people by their facial features is not new. There is even a science behind it — physiognomy, which has been used (and misused!) for hundreds of years to predict personality traits. But in recent years, a couple of interesting studies have tried to measure how well we can identify emotions by facial analysis alone.

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