1,721,097 research outputs found
Cowell, R, (Waiter)
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete.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/379170Surname: COWELL
Given Name(s) or Initials: R
Military Service Number or Last Known Location: (WAITER)
Missing, Wounded and Prisoner of War Enquiry Card Index Number: 51766192982
Item: [2016.0049.11463] "Cowell, R, (Waiter)
Identification and separation of DNA mixtures using peak area information
No full textWe introduce a new methodology, based upon probabilistic expert systems, for analysing forensic identification problems involving DNA
mixture traces using quantitative peak area information. Peak area is modelled with conditional Gaussian distributions. The expert system can be
used for ascertaining whether individuals, whose profiles have been measured, have contributed to the mixture. It can also be used to predict DNA
profiles of unknown contributors by separating the mixture into its individual components. The potential of our probabilistic methodology is
illustrated on case data examples and compared with alternative approaches. The advantages are that identification and separation issues can be
handled in a unified way within a single probabilistic model and the uncertainty associated with the analysis is quantified. Further work, required to
bring the methodology to a point where it could be applied to the routine analysis of casework, is discussed
A conditional-gamma model for DNA mixture analyses
No full textWe present a new methodology for analysing forensic identication
problems involving DNA mixture traces where several individuals may have con-
tributed to the trace. The model used for identication and separation of DNA
mixtures is based on a gamma distribution for peak area values. In this paper we
illustrate the gamma model and apply it on several real examples from forensic
casework
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Probabilistic expert systems for handling artifacts in complex DNA mixtures
No full textThis paper presents a coherent probabilistic framework for taking account of allelic dropout, stutter bands and silent alleles when interpreting STR DNA profiles from a mixture sample using peak size information arising from a PCR analysis. This information can be exploited for evaluating the evidential strength for a hypothesis that DNA from a particular person is present in the mixture. It extends an earlier Bayesian network approach that ignored such artifacts. We illustrate the use of the extended network on a published casework example
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