1,721,109 research outputs found
Recovery of anatomical normalità in gilthead sea dream (sparus aurata, L. 1758) with opercular anomalies
RT growth of acetonitrile and acrylonitrile on Si(001)-2 x 1 studied by XPS and LEED
In this work we show the adsorption of acetonitrile (CH3CN) and acrylonitrile (CH2CHCN) on Si(0 0 1)-2 x 1 at room temperature by increasing the molecular doses. Especially, by means of XPS and LEED data, we stress the action of these molecules on the silicon surface locating the dangling-bonds quasi-saturation within 10 L. The shortage of nitrogen XPS signal and some anomalies in carbon spectra point to an invading action from a traditional X-ray source (Al-K-alpha line) against chemisorbed molecules. In particular, we think that a long exposure to this radiation could break carbon-silicon bonds changing some adsorption geometries and making desorb molecular fragments. (C) 2003 Elsevier B.V. All rights reserved
The Circular Wired-Patch Resonator: Theory, Numerical Analysis and Filter Design Application
In this paper, a new type of microstrip resonator is presented, i.e., the circular wire-patch resonator. This component exhibits interesting electrical performances, including very compact dimensions and the possibility of high integration in multilayer low-temperature co-fired ceramic modules. For this new resonator, a transmission-line model, a finite-element-method analysis, and an application in filter design and some measurements are presented. Experimental results are discussed and compared with the theoretical and numerical ones showing a good agreement. View full abstract
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
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
A Scalable Model for Vessel-Generated Underwater Noise: Enhancing Efficiency through Parallelisation
Underwater noise pollution by shipping activities is widely recognised as a significant threat to marine life. The noise emitted by vessels can have various detrimental effects on fish and marine ecosystems. Therefore, accurately estimating and analysing vessel-generated underwater noise is a critical challenge for the protection and conservation of marine environments. For this reason, we have built a model for the spatio-temporal characterisation of underwater noise generated by vessels. This paper builds on this model by optimising the code pipeline, implementing table partitioning and leveraging parallelisation techniques. These enhancements allow us to explore various partitioning methods while significantly improving the computational performance and enabling more efficient analysis of underwater noise. Our approach not only improves the computational efficiency but also preserves the accuracy of the noise calculations, offering a more scalable solution for large datasets
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