130,409 research outputs found
Human influence on distribution and extinctions of the late Pleistocene Eurasian megafauna
The generic originality of Iurii Tynianov's representation of Pushkin in the novels 'Pushkin' and 'The Gannibals'
This thesis is the first extensive study devoted to the generic originality of Iurii Tynianov’s
representation of Pushkin in his two historical novels, Pushkin (1935-1943) and the abandoned
The Gannibals (1932). Chapter 1 contextualises Tynianov’s contribution to the current debates
on the novel’s demise, ‘large’ form and the worthy protagonist. The conditions giving rise to
contemporary interest in the genres of biography and the historical novel are delineated and the
critical issues surrounding these are examined; Tynianov’s concern to secularise the rigid
monolith of an all but sanctified ‘state-sponsored Pushkin’ and the difficulties of the task are
also reviewed. Chapter 2 shifts the examination of Pushkin as a historical novel to its study
within the generic framework of the Bildungs, Erziehungs and Künstlerromane with their
particular problematics which allowed Tynianov to grapple with a cluster of moral,
philosophical and educational issues, and to explore the formative influences on the
protagonist’s identity as a poet. Chapter 3 explores the concept of history underlying
Tynianov’s interpretation of the characters and events and the historiographical practices he
employed in his analyses of the factors that shaped Pushkin’s own historical thinking. Chapter
4 investigates Tynianov’s scepticism about Abram Gannibal’s and A. Pushkin’s mythopoeia
which reveals itself in Tynianov’s subversively ironical and playful use of myth in both novels.
The Conclusion assesses Tynianov’s contribution to the 20th century fictional Pushkiniana and
reflects on his innovative transgeneric historical novel which broke the normative restrictions
of the genre, elevated it to the level of ‘serious’ literature and made it conducive to stylistic
experimentation
MeSH term explosion and author rank improve expert recommendations
Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
USA Policy Towards United Nations: The Case of UN PKOs in the Democratic Republic of Congo
Introduction. This article examines United States policy towards United Nations Peacekeeping Operations (UN PKOs) by analyzing the U.S. position towards peacekeeping operations in the Congo (Democratic Republic of the Congo, DRC) to trace the evolution and specific features of this policy over time. The article attempts to answer the question: is U.S. policy toward UN PKOs defined by only national interest, or is there more to it? Methods and materials. The article analyzes U.S. official speeches and documents, UN official documents related to peacekeeping operations in the Democratic Republic of Congo, American foreign policy doctrines, and academic literature on U.S. foreign policy, U.S.-UN relations, and UN PKOs in the DRC. Analysis. American policy towards UN peacekeeping operations in Congo in 1960–1964 and 1999–2022 is analyzed to identify the main trends in the USA’s approach toward UN PKOs. Results. The article concludes that U.S. policy towards the United Nations is defined by the combination of the national interest of the country and the ideas of American exceptionalism. Authors’ contributions. D. Pushkina defined the research focus of the article, examined academic literature on UN PKOs in Congo and relevant documents, and defined the main vectors of the research. R. Kalina examined academic literature about U.S.-UN relations, analyzed official U.S. statements on UN peacekeeping operations in Congo, and made conclusions
MicroWeaR. A new R package for dental microwear analysis
Mastication of dietary items with different mechanical properties leaves distinctive microscopic marks on the surface of tooth enamel. The inspection of such marks (dental microwear analysis) is informative about the dietary habitus in fossil as well as in modern species. Dental microwear analysis relies on the morphology, abundance, direction, and distribution of these microscopic marks. We present a new freely available software implementation, MicroWeaR, that, compared to traditional dental microwear tools, allows more rapid, observer error free, and inexpensive quantification and classification of all the microscopic marks (also including for the first time different subtypes of scars). Classification parameters and graphical rendering of the output are fully settable by the user. MicroWeaR includes functions to (a) sample the marks, (b) classify features into categories as pits or scratches and then into their respective subcategories (large pits, coarse scratches, etc.), (c) generate an output table with summary information, and (d) obtain a visual surface‐map where marks are highlighted. We provide a tutorial to reproduce the steps required to perform microwear analysis and to test tool functionalities. Then, we present two case studies to illustrate how MicroWeaR works. The first regards a Miocene great ape obtained from through environmental scanning electron microscope, and other a Pleistocene cervid acquired by a stereomicroscope
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
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
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
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