1,721,355 research outputs found
Response of surface temperature to afforestation in the Kubuqi Desert, Inner Mongolia
No full text<p>This is the data used in “Response of surface temperature to afforestation in the Kubuqi Desert, Inner Mongolia” by Wang et al, for Journal of Geophysical Research - Atmospheres [MS#2017JD027522].</p>
China's Economic Dynamics - A Beijing Consensus in the making?
No full textAlthough Chinese economic growth continues strong, and although China coped very well with the recent global crisis, the Chinese economy faces many challenges, including how to sustain growth, how to rebalance the economy towards more domestic consumption, how to accommodate rising wages, growing social and regional inequality, and how to reform financial and monetary policies. This book examines the key challenges currently facing the Chinese economy. It considers Chinas’ increasing global impact, discusses the institutional drivers of China’s economic growth, assesses critically China’s need for structural reform, and explores issues related to sustainability and human rights
Self-supervised Semantic-driven Phoneme Discovery for Zero-resource Speech Recognition
No full textPhonemes are defined by their relationship to words: changing a phoneme changes the word. Learning a phoneme inventory with little supervision has been a longstanding challenge with important applications to under-resourced speech technology. In this paper, we bridge the gap between the linguistic and statistical definition of phonemes and propose a novel neural discrete representation learning model for self-supervised learning of phoneme inventory with raw speech and word labels. Under mild assumptions, we prove that the phoneme inventory learned by our approach converges to the true one with an exponentially low error rate. Moreover, in experiments on TIMIT and Mboshi benchmarks, our approach consistently learns a better phoneme-level representation and achieves a lower error rate in a zero-resource phoneme recognition task than previous state-of-the-art self-supervised representation learning algorithms
Dynamics and Asymptotic Behaviors of Biochemical Networks
No full textThe purpose of this dissertation is to study the dynamics and asymptotic behaviors of biochemical networks using a “modular” approach. New mathematics is motivated and developed to analyze modules in terms of the number of steady states and the stability of the steady states. One of the main contributions of the thesis is to extend Hirsch’s generic convergence result from monotone systems to systems “close” to monotone using geometric singular perturbation theory. A monotone system is a dynamical system for which the comparison principle holds, that is, “bigger” initial states lead to “bigger” future states. In monotone systems, every net feedback loop is positive. On the other hand, negative feedback loops are important features of many systems, since they are required for adaptation and precision. We show that, provided that these negative loops act at a comparatively fast time scale, the generic convergence property still holds. This is an appealing result, which suggests that monotonicity has broader implications than previously thought. One particular application of great interest is that of double phosphorylation dephosphorylation cycles. Other recurring modules in biochemica
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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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