Explore: Vocabulary [mesh]
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AI-Generated Overview About “vocabulary-%5bmesh%5d”:
Books Results
Source: The Open Library
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1Dirty Words
By Mark Morton
“Dirty Words” Metadata:
- Title: Dirty Words
- Author: Mark Morton
- Number of Pages: Median: 272
- Publisher: Atlantic Books
- Publish Date: 2005
“Dirty Words” Subjects and Themes:
- Subjects: ➤ Sex - Terminology - Love - English language - Etymology - Terms and phrases - Sex [MESH] - Vocabulary [MESH]
Edition Identifiers:
- The Open Library ID: OL8932159M
- Online Computer Library Center (OCLC) ID: 62224362
- All ISBNs: 9781843543848 - 1843543842
Access and General Info:
- First Year Published: 2005
- Is Full Text Available: Yes
- Is The Book Public: No
- Access Status: Borrowable
Online Access
Downloads Are Not Available:
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Wiki
Source: Wikipedia
Wikipedia Results
Search Results from Wikipedia
Medical Subject Headings
Medical Subject Headings (MeSH) is a comprehensive controlled vocabulary for the purpose of indexing journal articles and books in the life sciences. It
Controlled vocabulary
A controlled vocabulary provides a way to organize knowledge for subsequent retrieval. Controlled vocabularies are used in subject indexing schemes, subject
Padel
superstructure is made from connecting 3m-high, 2m-wide panels, with an additional 1m mesh height over the glass back walls (10m walls).[citation needed] This additional
3D modeling
("primitives") such as spheres, cones etc., to so-called meshes, which are nets of interconnected triangles. Meshes of triangles (instead of e.g., squares) are popular
Volume
\,d\theta \,d\varphi .} A polygon mesh is a representation of the object's surface, using polygons. The volume mesh explicitly define its volume and surface
List of MeSH codes
The following is a list of the codes for MeSH (Medical Subject Headings), a comprehensive controlled vocabulary for the purpose of indexing journal articles
List of MeSH codes (L01)
745 – semantics MeSH L01.143.506.598.901 – vocabulary MeSH L01.143.620 – negotiating MeSH L01.143.649 – nonverbal communication MeSH L01.143.649.526 –
GPT-J
that, the model has 28 transformer layers and 16 attention heads. Its vocabulary size is 50257 tokens, the same size as GPT-2's. It has a context window
Wechsler Adult Intelligence Scale
Information, Comprehension, Arithmetic, Digit Span, Similarities, and Vocabulary. The Performance subtests were: Picture Arrangement, Picture Completion
PubMed
records for an article before it is indexed with Medical Subject Headings (MeSH) and added to MEDLINE a collection of books available full-text and other