The game of dominoes has been played since ancient times. The earliest manual about the game is the Xuan He Pai Pu written by Qu You, who lived from 1341 to 1437. The game’s rules are based on the fact that each player places a domino edge to edge against the next. If two adjacent faces have the same number, they must make a specified total. The winner is the partner with the fewest number of spots on their dominoes.
Scientists have long understood the importance of signaling, but we’ve only begun to understand it in the context of the human body. Ben Barres, a neurologist at Stanford University, fought for gender equality in science, but his contributions to science were far reaching. He studied spinal cord and optic nerve regeneration, as well as the barrier preventing blood molecules from entering the brain. He discovered that electrical activity in neurons was essential for myelination. Domino Effect Science Snack explores the role of electrical signaling in neurons.
Data science teams use Domino to prototype and deploy models with ease. The platform is open source and supports various software environments. It manages these environments to ensure portability and consistency across teams. Data scientists can easily see what the results of their work look like across all teams. Domino is an essential tool for modern analytics teams. Domino makes it easy for teams to share data, model, and data across teams. It’s also easy to set up. There are several benefits to Domino for data science.
The domino theory influenced U.S. foreign policymakers. It was a Cold War policy premise that claimed that the collapse of one nation would lead to the collapse of neighboring nations. It was a major factor in justifying the U.S.’s involvement in the Vietnam War and support of a non-communist dictator in South Vietnam. In reality, the role of America in the domino theory in the Cold War was much less significant than the domino theory implied. Ultimately, communism failed to spread in Southeast Asia.