1,721,446 research outputs found
The history of the revolutions of Portugal
No full textSign.: a\p4\s, A-F\p12\s, G\p8\sError de paginación, empieza a contar en p. 3Erro de pax., empeza a contar na p.
Baxter, D W, 410033
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/370714Surname: BAXTER
Given Name(s) or Initials: D W
Military Service Number or Last Known Location: 410033
Missing, Wounded and Prisoner of War Enquiry Card Index Number: 53385181069
Item: [2016.0049.03041] "Baxter, D W, 410033
Baxter, D E, Malaya 855
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/370723Surname: BAXTER
Given Name(s) or Initials: D E
Military Service Number or Last Known Location: MALAYA 855
Missing, Wounded and Prisoner of War Enquiry Card Index Number: 15704181078
Item: [2016.0049.03050] "Baxter, D E, Malaya 855
Through-life integration using PLM
Full text linkOrganised by: Cranfield UniversityIt is widely agreed that organisations would benefit from a PLM implementation founded on a standard structure that integrates through-life information and knowledge. Thus, this paper describes a PLM data structure that provides a standard repository of data through all the stages of the lifecycle: conception, manufacture, and operation. This structure classifies the data into project, product, process and resource, and has been implemented into the PDM system Teamcenter Engineering as part of a case study with a vacuum pump manufacturer. A methodology to implement a knowledge structure from an ontology editor into PDM system is also presented.Mori Seiki – The Machine Tool Compan
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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