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An abstract is a brief summary of a research ... Perhaps the earliest example of an abstract ... are often called unstructured abstracts. Abstracts are important ...
For example, it is difficult to agree to whether concepts like God, the number three, and goodness are real, abstract, or both. An approach to resolving such difficulty is to use predicates as a general term for whether things are variously real, abstract, concrete, or of a particular property (e.g., good ).
The abstract typically states the hypothesis, tools used in research or investigation, data collected, and a summary or interpretation of the data. The abstracts usually undergo peer review after which they are accepted or rejected by the conference chair or committee and then allocated to conference sessions.
For example, one could define an abstract data type called lookup table which uniquely associates keys with values, and in which values may be retrieved by specifying their corresponding keys. Such a lookup table may be implemented in various ways: as a hash table , a binary search tree , or even a simple linear list of (key:value) pairs.
The increasing importance of well-formed autonomous abstracts may well be a consequence of the increasing use of searchable digital abstract archives, where a well-formed abstract will dramatically increase the probability for an article to be found by its optimal readership. [15]
For example, the information encoded in one "fair" coin flip is log 2 (2/1) = 1 bit, and in two fair coin flips is log 2 (4/1) = 2 bits. A 2011 Science article estimates that 97% of technologically stored information was already in digital bits in 2007 and that the year 2002 was the beginning of the digital age for information storage (with ...
A graphical abstract (or visual abstract [1]) is a graphical or visual equivalent of a written abstract. [2] [3] Graphical abstracts are a single image and are designed to help the reader to quickly gain an overview on a scholarly paper, research article, thesis or review: and to quickly ascertain the purpose and results of a given research, as well as the salient details of authors and journal.
As an example, the FFL model clarifies an important aspect of abstraction. Omitting detail permits one to distinguish those underlying factors that matter from those that do not. In other words, it is easier to capture the relevant aspects and connections of the abstracted concept, when other less relevant details, are absent from the model.