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The base62 encoding scheme uses 62 characters. The characters consist of the capital letters A-Z, the lower case letters a-z and the numbers 0–9. It is a binary-to-text encoding scheme that represents binary data in an ASCII string format.
Encoding using all Gurmukhi characters plus the Gurmukhi digits. 52: Covers the digits and letters assigned to base 62 apart from the basic vowel letters; [59] similar to base 26 but distinguishing upper- and lower-case letters. 56: A variant of base 58. [clarification needed] [60] 57: Covers base 62 apart from I, O, l, U, and u, [61] or I, 1 ...
An example C function is given to perform the encoding. Input to the function consists of 32-bit UCS-4 codepoints representing Unicode characters. Output is a string of ASCII bytes, each 8-bit byte consisting of a base62 character, namely 0–9A–Za–z (character 0 represents the value 0, A represents 10, and so on, up to z which represents 61).
Base64 encoding can be helpful when fairly lengthy identifying information is used in an HTTP environment. For example, a database persistence framework for Java objects might use Base64 encoding to encode a relatively large unique id (generally 128-bit UUIDs) into a string for use as an HTTP parameter in HTTP forms or HTTP GET URLs. Also, many ...
The encoding specificity principle is the general principle that matching the encoding contexts of information at recall assists in the retrieval of episodic memories. It provides a framework for understanding how the conditions present while encoding information relate to memory and recall of that information.
Self-referential encoding is a method of organizing information in one's memory in which one interprets incoming information in relation to oneself, using one's self-concept as a background. [1] Examples include being able to attribute personality traits to oneself or to identify recollected episodes as being personal memories of the past. [2]
Incidental memory is defined as the ability to acquire and recall information that was unintentionally encoded and stored. [1] It describes how memory formation occurs incidentally as a byproduct of engaging in other activities without conscious and deliberate efforts to remember and meaningfully process the information.
The Limited Capacity Model of Motivated Mediated Message Processing or LC4MP is an explanatory theory that assumes humans have a limited capacity for cognitive processing of information, as it associates with mediated message variables; moreover, they (viewers) are actively engaged in processing mediated information [1] Like many mass communication theories, LC4MP is an amalgam that finds its ...