Recommender systems are new types of internetbased software tools, designed to help users find their way through today’s complex on-line shops and entertainment websites. This paper describes a new recommender system, which employs a genetic algorithm to learn personal preferences of users and provide tailored suggestions.

We try to understand how particles acquire mass in general, and in particular, how they acquire mass in the standard model and beyond.

“Football is a very simple game. For 90 minutes, 22 men go running after the ball, and at the end, the Germans win.” Although the game is simple, analyzing it can be hard. Just what makes one team better than another? How much difference do tactics make? Is there really such a thing as a “lucky win”? Here, we try to answer these questions in the context of RoboCup. We take the giant set of log ...

Deacon develops a minimal model of nonparasitic virus to explore how nucleotide sequences came be characterized by code-like informational at the origin life. The serves problematize concept biological normativity because it highlights two common yet typically implicit assumptions: (1) that life could consist as an inert form, were not for extrinsic sources physical instability, and (2) have or...