305,994 research outputs found
Lotman, Juri. Mints, Zara. Epistolaarne isikuarhiiv / Lotman, Juri. Mints, Zara
No full text2025 säilikutA: Juri Lotmani kirjad, s.1-8. B: Isikute kirjad Juri Lotmanile ja Zara Mintsile, s.9-1708. C: Kirjavahetus asutuste ja organisatsioonidega. a. Venemaal, s.1709-1815. b. Eestis, s.1816-1839. c. Endise NSV Liidu vabariikides, s.1840-1848. d. Välisriikides, s.1849-1936. D: Perekondlik kirjavahetus, s.1937-1978. E: Temaatiline kirjavahetus. a. Õnnitlused, kaastundeavaldused, s.1979-1988. b. Raamatute soovid ja tellimused, s.1989-1994. c. Lugejate ja televaatajate kirjad, s.1995-1999. F: Teiste isikute korrespondents, s.2000-2011http://www.ester.ee/record=b3547065*es
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
No full textWe 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
Proof of reserves and non-double spends for Chaumian Mints
No full textE-cash was invented in 1982 by David Chaum as an anonymous cryptographic
electronic cash system based on blind signatures. It is not a decentralized
form of money as Bitcoin. It requires trust on the server or Mint issuing the
e-cash tokens and validating the transactions for preventing double spends.
Moreover, the users also need to trust the Mint to not debase the value of
e-cash tokens by Minting an uncontrolled number. In particular, this is
critical for e-cash tokens representing a note of another asset as a currency,
or bitcoin, or another cryptocurrency. Thus it would be suitable to implement a
public auditing system providing a proof of reserves that ensures that the Mint
is not engaging into a fractional reserve system. In this article we describe
how to implement a proof of reserves system for Chaumian Mints. The protocol
also provides a proof of non-double spends.Comment: There is an error in the 3rd point of section 3.
Author, publisher and bookseller : a tripartite synergy in Nigerian book industry
No full textThis 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
E. J. E. Pirie, Coins in Yorkshire collections. The Yorkshire Museum, York. The City Museum, Leeds. The University of Leeds. Part I : Coins from Northumbrian mints c. 895-1279. Part II : Ancient British Issues and later coins from other English, Irish and Scottish mints to 1279.
No full textDumas Françoise. E. J. E. Pirie, Coins in Yorkshire collections. The Yorkshire Museum, York. The City Museum, Leeds. The University of Leeds. Part I : Coins from Northumbrian mints c. 895-1279. Part II : Ancient British Issues and later coins from other English, Irish and Scottish mints to 1279.. In: Revue numismatique, 6e série - Tome 17, année 1975 p. 200
[Report to Chief J. E. Curry, by an unknown author #2]
No full textReport 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]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
Mining e-mail content for author identification forensics
No full textWe 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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