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  1. Dictionary
    stationery
    /ˈsteɪʃən(ə)ri/

    noun

    • 1. writing and other office materials: "a range of stationery"

    More definitions, origin and scrabble points

  2. Jun 26, 2024 · 9. Stationary vs. Stationery. Stationary means not moving. Example: “The car was stationary at the light.” Meaning: The car was stopped, not moving. Stationery refers to writing materials. Example: “I bought new stationery for school.” Meaning: I bought paper, envelopes, etc.

  3. Jul 2, 2024 · Linen paper is renowned for its textured, fabric-like finish that adds a touch of sophistication to any document. Ideal for business stationery, resumes, and invitations, linen sheet stands out with its high-quality feel. If you're considering linen finish for printing, remember it's best used where a touch of elegance is essential.

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  4. en.wikipedia.org › wiki › Paper_sizePaper size - Wikipedia

    2 days ago · A size chart illustrating the ISO A series. There are 11 sizes in the A series, designated A0–A10, all of which have an aspect ratio of , where a is the long side and b is the short side.

  5. 2 days ago · The impact of a moving vessel with a stationary object (not submerged), such as a bridge abutment or dolphin, pier or wharf, or another vessel made fast to a pier or wharf. More than incidental contact is required.

  6. Jul 1, 2024 · In the context of vehicle auction verification, the term ‘stationary’ means that the vehicle is non-operational and does not power on. This label helps bidders understand the vehicle’s current functional status before making a purchase decision.

  7. Jun 24, 2024 · Stationery and office supplies that cost $300 or more, are part of a set or substantially identical are generally depreciating assets which decline in value over time. For example, if you purchase a printer to use at home that cost $300 or more, you can't claim the cost of the printer in the year you buy it.

  8. Jun 26, 2024 · Stationarity means that the statistical properties of a time series i.e. mean, variance and covariance do not change over time. Many statistical models require the series to be stationary to make effective and precise predictions.