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    Morley, J

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    Morley, J C, WX398

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete.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/406140Surname: MORLEY. Given Name(s) or Initials: J C. Military Service Number or Last Known Location: WX398. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 4272.247072 Item: [2016.0049.38417] "Morley, J C, WX398

    Morley, J R (Jack Richard), NX50235

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete.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/406131Surname: MORLEY. Given Name(s) or Initials: J R (JACK RICHARD). Military Service Number or Last Known Location: NX50235. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 39597.247054 Item: [2016.0049.38408] "Morley, J R (Jack Richard), NX50235

    Corpus-Assisted Discourse Studies on the Iraq Conflict: Wording the War

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    This volume seeks to illustrate the fundamental role of language in political action, focusing on the war in Iraq. It combines quantitative methods, based on a sophisticated modular corpus that was queried through special software with the aim of identifying regularly occurring lexical and semantic patterns, with classical discourse analysis, which seeks to investigate naturally occurring language in the context in which it is produced. Interpreting the field of politics quite widely, to include news reporting and a quasi-judicial inquiry into the behavior of politicians and journalists, discourses in the USA and the UK are considered. The central purpose of the volume is to gain insights not just into language, and the ways in which we can investigate it through a corpus, but also into the ways in which political action is realized through discourse

    Tithonusism Is it Reversible?

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    A few Frequently Asked Questions about semantic – or evaluative – prosody

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    To say that there has been a certain amount of confusion and debate over the nature and function of the notion of semantic prosody would be an understatement. In this paper we attempt to address and assess, in the light of current thinking in the field of lexical grammar, some of the main issues which have been raised

    Testosterone

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    A containment-first search algorithm for higher-order analysis of urban topology

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    Research has revealed the importance of the concepts from the mathematical areas of both topology and graph theory for interpreting the spatial arrangement of spatial entities. Graph theory in particular has been used in different applications of a wide range of fields for that purpose, however not many graph-theoretic approaches to analyse entities within the urban environment are available in the literature. Some examples should be mentioned though such as, Bafna (2003), Barr and Barnsley (2004), Bunn et al. (2000), Krüger (1999), Nardinochi et al. (2003), and Steel et al. (2003). Very little work has been devoted in particular to the interpretation of initially unstructured geospatial datasets. In most of the applications developed up-to-date for the interpretation and analysis of spatial phenomena within the urban context, the starting point is to some extent a meaningful dataset in terms of the urban scene. Starting at a level further back, before meaningful data are obtained, the interpretation and analysis of spatial phenomena are more challenging tasks and require further investigation. The aim of retrieving structured information from initial unstructured spatial data, translated into more meaningful homogeneous regions, can be achieved by identifying meaningful structures within the initial random collection of objects and by understanding their spatial arrangement (Anders et al., 1999). It is believed that the task of understanding topological relationships between objects can be accomplished by both applying graph theory and carrying out graph analysis (de Almeida et al., 2007)

    A containment-first search algorithm for higher-order analysis of urban topology

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    Research has revealed the importance of the concepts from the mathematical areas of both topology and graph theory for interpreting the spatial arrangement of spatial entities. Graph theory in particular has been used in different applications of a wide range of fields for that purpose, however not many graph-theoretic approaches to analyse entities within the urban environment are available in the literature. Some examples should be mentioned though such as, Bafna (2003), Barr and Barnsley (2004), Bunn et al. (2000), Krüger (1999), Nardinochi et al. (2003), and Steel et al. (2003). Very little work has been devoted in particular to the interpretation of initially unstructured geospatial datasets. In most of the applications developed up-to-date for the interpretation and analysis of spatial phenomena within the urban context, the starting point is to some extent a meaningful dataset in terms of the urban scene. Starting at a level further back, before meaningful data are obtained, the interpretation and analysis of spatial phenomena are more challenging tasks and require further investigation. The aim of retrieving structured information from initial unstructured spatial data, translated into more meaningful homogeneous regions, can be achieved by identifying meaningful structures within the initial random collection of objects and by understanding their spatial arrangement (Anders et al., 1999). It is believed that the task of understanding topological relationships between objects can be accomplished by both applying graph theory and carrying out graph analysis (de Almeida et al., 2007)
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