Recent & Relevant.
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| Title: | Recent & Relevant. |
|---|---|
| Source: | Technical Communication. Nov2023, Vol. 70 Issue 4, pE1-E11. 11p. |
| Abstract: | The following articles on technical communication have appeared recently in other journals. The abstracts are prepared by volunteer journal monitors. [ABSTRACT FROM AUTHOR] |
| Copyright of Technical Communication is the property of Society for Technical Communication and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 180048411 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Recent & Relevant. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Technical+Communication%22">Technical Communication</searchLink>. Nov2023, Vol. 70 Issue 4, pE1-E11. 11p. – Name: Abstract Label: Abstract Group: Ab Data: The following articles on technical communication have appeared recently in other journals. The abstracts are prepared by volunteer journal monitors. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Technical Communication is the property of Society for Technical Communication and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=180048411 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: E1 Titles: – TitleFull: Recent & Relevant. Type: main BibRelationships: IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 00493155 Numbering: – Type: volume Value: 70 – Type: issue Value: 4 Titles: – TitleFull: Technical Communication Type: main |
| ResultId | 1 |