A tumor’s network of vessels start out as a dense, unstructured tangle, and then refine their connections to be more efficient. The new model may also help researchers answer biological questions, such as how blood vessels grow to support tumors, Fricker says. Decentralized, adaptable networks would also be important for soldiers in battlefields or swarms of robots exploring hazardous environments, Fricker says. Because these sensors are destroyed when disaster strikes, the network needs to efficiently re-route information quickly. Print it out and keep this page for your better. When you come to Tokyo, you might want to. I made a JR ( Japan Railway) train route map for you that is simple but enough to understand Tokyo City. “You see they optimize themselves somehow, but how do you describe that?” The new research “provides a simple mathematical model for a complex biological phenomenon,” Marwan wrote in an article in the same issue of Science.įricker points out that such a malleable system may be useful for creating networks that need to change over time, such as short-range wireless systems of sensors that would provide early warnings of fire or flood. Train route map This map is train route map of Tokyo This is too complicated to transfer for even Japanese. The behavior of the plasmodium “is really difficult to capture by words,” comments biochemist Wolfgang Marwan of Otto von Guericke University in Magdeburg, Germany. Like the slime mold, the model first creates a fine mesh network that goes everywhere, and then continuously refines the network so that the tubes carrying the most cargo grow more robust and redundant tubes are pruned. The researchers then borrowed simple properties from the slime mold’s behavior to create a biology-inspired mathematical description of the network formation.
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