1,354,574 research outputs found
Special Issue — From Foundations of Quantum Mechanics to Quantum Information and Quantum Metrology & Sensing, “Quantum 2017”; Author Index Volume 15 (2017)
Asymmetric Effects of Monetary Policy Easing and Tightening
Monetary policy easing and tightening have asymmetric effects: a policy easing has large effects on prices but small effects on real activity variables. The opposite is found for a policy tightening: large real effects but small effects on prices. Nonlinearities are estimated using a new and simple procedure based on linear Strutural Vector Autoregressions with exogenous variables (SVARX). We rationalize the result through the lens of a simple model with downward nominal wage rigidities
Idiosyncratic income risk and aggregate fluctuations
We study how the presence of idiosyncratic income risk affects aggregate fluctuations in the absence of binding borrowing constraints and/or cyclical income risk. Its impact is shown to be captured by the response of a consumption-weighted average of individual consumption risk to aggregate shocks. We analyze two example economies—an endowment economy and a New Keynesian economy—and show that, under plausible calibrations, the impact of idiosyncratic income risk on aggregate fluctuations is quantitatively small since most of the changes in consumption risk are concentrated among poorer (low-consumption) households.We acknowledge the financial support from the European Research Council under the European Union’s Horizon 2020 research and innovation program (Galí, Advanced Grant 882332-HEMPEF), from La Caixa Research Grant on Socioeconomic Wellbeing (Debortoli), from the Spanish Ministry of Science, Innovation and Universities through the Severo Ochoa Programme for Centres of Excellence in R&D (Barcelona School of Economics CEX2019-000915-S) and through grant PID2020-116268GB-I00, and from the Generalitat de Catalunya through CERCA and SGR Programme (2017-SGR-1393). The contribution by Davide Debortoli has been prepared under the Wim Duisenberg Fellowship sponsored by the ECB
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
Variations on the Author
“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
We 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
Peg-in-hole operation with a cobot without using external sensors
Collaborative robots, or cobots, are designed to interact with humans and to be easy to use, drastically reducing the integration costs. In this paper, we present the results of a peg-in-hole operation, performed by an UR5 cobot equipped with a standard gripper, without the use of external force or torque sensors. The operation consists of the insertion of a 48-tooth involute spline shaft in a corresponding hub. A two-phase helicoidal descent is performed by the robot. During the first phase, the value of the force vector at the tool center point is used to detect if the shaft is centered. During the second phase, the variation of the torque at shoulder joint is used to detect the insertion. Over 1000 peg-in-hole operations, the successful rate was 96.7%. Among these shafts, only the 10% needed a second trial. The overall mean time for an operation is 5.5 seconds
Preface
Preface to the special issue of IJQI dedicated to the proceedings of the conference Quantum 201
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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