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This template creates an unbulleted list for bundled citations. It works with shortened footnotes, full citations, and general notes. The standard {{unbulleted list}} template will disrupt white space within references. It causes an unnecessary line break before the first list item. See below for comparisons:
For the second portion of the list, see List of words having different meanings in American and British English: M–Z. Asterisked (*) meanings, though found chiefly in the specified region, also have some currency in the other region; other definitions may be recognised by the other as Briticisms or Americanisms respectively.
Bundling is most successful when: There are economies of scale in production.; There are economies of scope in distribution. This can be seen in consumer electronics bundles where a big box electronics store offers all of the components for a home theatre setup (DVD player, flatscreen TV, surround sound speakers, receiver, subwoofer) for a lower price than if each component were to be ...
Word list Drawing up a comprehensive list of words in English is important as a reference when learning a language as it will show the equivalent words you need to learn in the other language to achieve fluency.
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Historically, verifying the discount offered has been via presenting coupons clipped from newspapers [1] or received in the mail. Some retailers and companies use verification methods such as unique barcodes , coupon ID numbers, holographic seals, and watermarked paper as protection from unauthorized copying or use.
A faggot, in the meaning of "bundle", is an archaic English unit applied to bundles of certain items. Alternate spellings in Early Modern English include fagate, faget, fagett, faggott, fagot, fagatt, fagott, ffagott, and faggat. A similar term is found in other languages (e.g. Latin: fascis).
It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier. [1] It has also been used for computer vision. [2]