305,826 research outputs found
Mccready, E D, VX5435
This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete.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/402878Surname: MCCREADY. Given Name(s) or Initials: E D. Military Service Number or Last Known Location: VX5435. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 20156.223533
Item: [2016.0049.35171] "Mccready, E D, VX5435
The Noble Picayune
Weekly newspaper from Noble, Oklahoma Territory that includes local, territorial, and national news along with advertising. The Noble Picayune was established in 1895 by W. E. Glenn, and edited by E. D. McCready who had previously edited the Helen Herald. The paper had eight pages of six columns and cost one dollar for a year’s subscription. Printed on Wednesdays, the paper ran for approximately one year
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Author, publisher and bookseller : a tripartite synergy in Nigerian book industry
This work is about the roles of Author, Publisher and Bookseller in Book development in
Nigeria. The paper started by delving into the history of Book Publishing in Nigeria after
which it proceeded by defining who an author, a publisher, and a bookseller is and
expatiated on the indispensable roles of these key actors in Nigerian Book Industry and in
the emerging Information Society. Furthermore, the various constraints to book
development were identified while the paper advised on how the Book Industry can be
further promoted in Nigeria. However, the paper concluded and made recommendations
on how the Book sector can help in enhancing scholarship in the country
[Report to Chief J. E. Curry, by an unknown author #2]
Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #1]
Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
Seniors' gambling in Ontario: An assessment of gambling and problem gambling among older adults who patronize Ontario casinos
The research examined gambling behaviour, gambling problems, gambling attitudes, and expectations of the impact of an increased number of casinos in a sample of Ontario seniors who gamble at casinos. This study was conducted to address three goals:
1) To develop better understanding of the role of gambling in the lives of seniors who patronize Ontario casinos;
2) To develop better understanding of the prevalence of problem gambling among seniors who patronize Ontario casinos; and
3) To explore possible impacts of new Ontario casinos on the lives of seniors who patronize Ontario casinos.
Data was collected through exit surveys employing cluster sampling methods to obtain a random sample of 2,103 Ontario seniors gambling at seven sites across the province: Woodbine Racetrack (n=303), Mohawk Racetrack (n=300), Flamboro Downs (n=300), Brantford Casino (n=300), Woodstock Raceway (n=300), Slots at Western Fair (n=300), and Georgian Downs (n=300). Seniors exiting these sites were randomly selected to be invited to participate in the exit interview, which required about 15-20 minutes of their time. Participants provided information about their own gambling behaviour and gambling-related problems, attitudes toward gambling, gambling and gambling problems in their community, and their assessment of the impact of new casinos.
Data were collected between July and September, 2013.</p
Mining e-mail content for author identification forensics
We describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation
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