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  2. Generation (particle physics) - Wikipedia

    en.wikipedia.org/wiki/Generation_(particle_physics)

    Nonetheless, searches at high-energy colliders for particles from a fourth generation continue, but as yet no evidence has been observed. [9] In such searches, fourth-generation particles are denoted by the same symbols as third-generation ones with an added prime (e.g. b′ and t′).

  3. Standard Model - Wikipedia

    en.wikipedia.org/wiki/Standard_Model

    Within each group, pairs of particles that exhibit similar physical behaviors are then grouped into generations (see the table). Each member of a generation has a greater mass than the corresponding particle of generations prior. Thus, there are three generations of quarks and leptons. [37]

  4. Matrix similarity - Wikipedia

    en.wikipedia.org/wiki/Matrix_similarity

    Elementary divisors, which form a complete set of invariants for similarity of matrices over a principal ideal domain; Because of this, for a given matrix A, one is interested in finding a simple "normal form" B which is similar to A—the study of A then reduces to the study of the simpler matrix B.

  5. Semantic similarity - Wikipedia

    en.wikipedia.org/wiki/Semantic_similarity

    Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between items is based on the likeness of their meaning or semantic content [citation needed] as opposed to lexicographical similarity.

  6. Online tutoring - Wikipedia

    en.wikipedia.org/wiki/Online_tutoring

    Worksheets, online bulletin boards, and threaded discussions are examples of tools for e-tivities. An e-tivity may be an effective learning tool if it has an illustrative title, a stimulus or challenge, involves invitations to learners to post messages, is carefully timed, has postings to which others can add, and summaries, critiques or ...

  7. Like terms - Wikipedia

    en.wikipedia.org/wiki/Like_terms

    The like terms in this expression are the terms that can be grouped together by having exactly the same set of unknown factors. Here, the sets of unknown factors are ,, and .. By the rule in the first example, all terms with the same set of unknown factors, that is, all like terms, may be combined by adding or subtracting their coefficients ...

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