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  2. Lookup table - Wikipedia

    en.wikipedia.org/wiki/Lookup_table

    For data requests that fall between the table's samples, an interpolation algorithm can generate reasonable approximations by averaging nearby samples." [8] In data analysis applications, such as image processing, a lookup table (LUT) can be used to transform the input data into a more desirable output format. For example, a grayscale picture ...

  3. Identity column - Wikipedia

    en.wikipedia.org/wiki/Identity_column

    An identity column differs from a primary key in that its values are managed by the server and usually cannot be modified. In many cases an identity column is used as a primary key; however, this is not always the case. It is a common misconception that an identity column will enforce uniqueness; however, this is not the case. If you want to ...

  4. Snowflake ID - Wikipedia

    en.wikipedia.org/wiki/Snowflake_ID

    The format was created by Twitter (now X) and is used for the IDs of tweets. [1] It is popularly believed that every snowflake has a unique structure, so they took the name "snowflake ID". The format has been adopted by other companies, including Discord and Instagram. The Mastodon social network uses a modified version.

  5. Universally unique identifier - Wikipedia

    en.wikipedia.org/wiki/Universally_unique_identifier

    The format with hyphens was introduced with the newer variant system. Before that, the legacy Apollo format used a slightly different format: 34dc23469000.0d.00.00.7c.5f.00.00.00. The first part is the time (time_high and time_low combined). The reserved field is skipped.

  6. Pick operating system - Wikipedia

    en.wikipedia.org/wiki/Pick_operating_system

    The Pick Operating System, also known as the Pick System or simply Pick, [1] is a demand-paged, multi-user, virtual memory, time-sharing computer operating system based around a MultiValue database. Pick is used primarily for business data processing. It is named after one of its developers, Dick Pick. [2] [3]

  7. Data dredging - Wikipedia

    en.wikipedia.org/wiki/Data_dredging

    Data dredging (also known as data snooping or p-hacking) [1] [a] is the misuse of data analysis to find patterns in data that can be presented as statistically significant, thus dramatically increasing and understating the risk of false positives.

  8. The Game: Penetrating the Secret Society of Pickup Artists

    en.wikipedia.org/wiki/The_Game:_Penetrating_the...

    Neil Strauss was quoted in a review by Steven Poole in The Guardian as saying, "A side effect of sarging (socializing with the intent of finding and seducing a woman) is that it can lower one's opinion of the opposite sex", though the reviewer noted, "And yet, as he has described it, the inverse is true: a low opinion of the opposite sex is a prerequisite for sarging."

  9. Excoriation disorder - Wikipedia

    en.wikipedia.org/wiki/Excoriation_disorder

    Excoriation disorder occurs as the primary disorder and not as a subset of a larger disorder. Excoriation disorder has well-defined clinical features. There is gathering data on the clinical features and diagnostic criteria for this condition. There is sufficient data to create this as a separate category for excoriation disorder.