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In linguistics, a blend—also known as a blend word, lexical blend, or portmanteau [a] —is a word formed by combining the meanings, and parts of the sounds, of two or more words together. [ 2 ] [ 3 ] [ 4 ] English examples include smog , coined by blending smoke and fog , [ 3 ] [ 5 ] and motel , from motor ( motorist ) and hotel .
b Cells of different lineage fuse to form a cell with multiple nuclei, known as a heterokaryon. The fused cells might have undergone a reversion of phenotype or show transdifferentiation. c Cells of different lineage or the same lineage fuse to form a cell with a single nucleus, known as a synkaryon. New functions of the fused cell can include ...
Karyogamy in the context of cell fusion. 1-haploid cells, 2-cell fusion, 3-single cell with two pronuclei, 4-fusing pronuclei (karyogamy), 5-diploid cell. Karyogamy is the final step in the process of fusing together two haploid eukaryotic cells, and refers specifically to the fusion of the two nuclei.
A Dictionary of Media and Communication describes hybrid genre as "the combination of two or more genres", which may combine elements of more than one genre and/or which may "cut across categories such as fact and fiction". [1] Hybrid genres are a longstanding element in the fictional process.
Cell fusion, a process in which several uninuclear cells combine to form a multinuclear cell; Gene fusion, a genetic event and molecular biology technique; Lipid bilayer fusion, a part of several cellular processes; Spinal fusion, a surgical technique used to combine two or more vertebrae; Tooth fusion, a dental abnormality in which two teeth ...
Name blending, meshing, or melding is the practice of combining two existing names to form a new name. [1] It is most commonly performed upon marriage.According to Western tradition, the wife normally adopts the husband's surname upon marriage.
A mixed language, also referred to as a hybrid language, contact language, or fusion language, is a language that arises among a bilingual group combining aspects of two or more languages but not clearly deriving primarily from any single language. [1]
The main goal in decision fusion is to use meta-level classifier while data from nodes are preprocessed by extracting features from them. [32] Typically decision level sensor fusion is used in classification an recognition activities and the two most common approaches are majority voting and Naive-Bayes.