1,722,196 research outputs found
Optimal Cartel Equilibria with Imperfect Monitoring
Full text linkAbreu, Dilip; Pearce, David; Stacchetti, Ennio. (1984). Optimal Cartel Equilibria with Imperfect Monitoring. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/2329
Catalysis of the cathodic reduction of carbon dioxide by transition metal complexes
No full textThe application of nickel and cobalt square planar complexes to the catalysis of the cathodic reduction of carbon dioxide has been studied in a variety of aprotic solvent/water mixtures. The complexes can have a high turnover number and, in terms of a reduction in overpotential, the complexes can also be effective catalysts; the presence of the catalyst may reduce the overpotential by more than 0.5V. The majority of complexes were soluble in the electrolytes used, e.g. Ni(teta)2+, Co(salen) where the maximum current density achieved has been less encouraging. However, a very fast catalytic cycle in which CO2 diffusion to the electrode is rate limiting has been obtained using an insoluble complex, cobalt phthalocyanine, adsorbed on the electrode surface. It has been confirmed that the product of the reduction of CO2 catalysed by such complexes is carbon monoxide, although bicarbonate is also formed due to the generation of base. It is proposed that CO is the major product because CO2 is bound to the transition metal centre via a metal-carbon bond thus constraining protonation to occur at an oxygen atom. The influence of added proton donor, the choice of base electrolyte cation and the presence of heterocyclic compounds able to act as ligands to the octahedral sites of the complexes have also been investigated. The electrochemical techniques employed included cyclic voltammetry, constant potential electrolysis, steady state measurements and potential step methods. (D72241/87)</p
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
Nonparametric Segment Detection
No full textIn computer and robotic vision point clouds from depth sensorshave to be processed to form higher-level concepts such as lines,planes, and objects. Bayesian methods formulate precisely prior knowledgewith respect to the noise and likelihood of points given a line, plane,or object. Nonparametric methods also formulate a prior with respectto the number of those lines, planes, or objects. Recently, a nonparametricBayesian method has been proposed to perform optimal inferencesimultaneously over line fitting and the number of lines. In this paperwe propose a nonparametric Bayesian method for segment fitting. Segmentsare lines of finite length. This requires 1.) a prior for line segmentlengths: the symmetric Pareto distribution, 2.) a sampling method thathandles nonconjugacy: an auxiliary variable MCMC method. Resultsare measured according to clustering performance indicators, such asthe Rand Index, the Adjusted Rand Index, and the Hubert metric. Surprisingly,the performance of segment recognition is worse than that ofline recognition. The paper therefore concludes with recommendationstowards improving Bayesian segment recognition in future woMathematical Physic
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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