Paris – Hollywood is having its second bash at sprinkling some movie magic on the "Super Mario Bros" video game franchise, three decades after the last attempt. The pint-sized plumber from Japanese game maker Nintendo has enjoyed 40 years of extraordinary popularity that has transformed the character into a truly global icon. Nintendo owes a lot to its moustachioed hero, created by a young game designer called Shigeru Miyamoto initially as the protagonist in the "Donkey Kong" arcade game in 1981. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites.

Then I remembered that Intel is the company that put the "silicon" in Silicon Valley. Its processors and other technologies provided much of the under-the-hood power for the personal computer revolution. At 51 years old, Intel still has some star power. But it's also going through a period of profound change that's reshaping the culture of the company and the way its products get made. As ever, Intel's main products are the microprocessors that serve as the brains of desktop PCs, laptops and tablets, and servers.

"Jumanji: Welcome to the Jungle," the sequel to the 1995 film starring the late Robin Williams, is now out in theaters and critics have a lot to say about it. Dwayne "The Rock" Johnson, Kevin Hart, Jack Black and Karen Gillan teamed up for the new flick, which now features the Jumanji board game as a video game instead, but while some reviewers think the star power is just the icing on the cake, others don't even think the big names save the movie. Here's what critics are saying about "Jumanji: Welcome to the Jungle." "'Jumanji: Welcome to the Jungle,' a sequel no one asked for to the 1995 Robin Williams original as well as the animated TV series, has enough star power and comic zest to deliver a fun time at the movies. OK, just barely, but we'll take what we can get. "This updated'Jumanji' can't outrun the clichés on its tail, but its puppy-eagerness to please is hard to resist." "Although the action sequences are a bit rote and it always feels like the movie could go further with its satire of video games, the film succeeds thanks to its outstanding cast who have excellent comedic chemistry.

This paper proposes a decision support system to aid movie investment decisions at the early stage of movie productions. The system predicts the success of a movie based on its profitability by leveraging historical data from various sources. Using social network analysis and text mining techniques, the system automatically extracts several groups of features, including "who" are on the cast, "what" a movie is about, "when" a movie will be released, as well as "hybrid" features that match "who" with "what", and "when" with "what". Experiment results with movies during an 11-year period showed that the system outperforms benchmark methods by a large margin in predicting movie profitability. Novel features we proposed also made great contributions to the prediction. In addition to designing a decision support system with practical utilities, our analysis of key factors for movie profitability may also have implications for theoretical research on team performance and the success of creative work.