1,721,022 research outputs found
Smart High-Throughput Experimentation
Full text linkThis PhD project aimed to improve the effectiveness of a trial-and-error approach to olefin polymerization catalysis, one of the most important chemical technologies, by means of High Throughput Experimentation (HTE) methodologies. The project was hosted at the Laboratory of Stereoselective Polymerizations (LSP) of the Federico II University, which is world-leading in HTE
catalyst screenings with optimization purposes, and sponsored by HTExplore srl, an academic spin-off of LSP delivering HTE services to polyolefin producers. The
general objective was to introduce protocols for ‘smart’ applications of the existing HTE workflow of LSP to complex chemical problems in polyolefin catalysis. In particular, methods for the rapid and accurate determination of the Quantitative Structure-Activity Relationship (QSAR) of representative molecular
or heterogeneous catalyst formulations were implemented as the basis for statistical modeling with predictive ability
HTE methods and results in PO catalysis and materials characterization
No full textHigh Throughput Experimentation (HTE) was originally introduced in olefin polymerization R&D as a discovery tool. In recent years, we spent a considerable effort to extend the scope of the HTE approach to mechanistic investigations. A high-performance polymerization platform (Freeslate PPR48) was integrated with state-of-art polymer characterization tools (including GPC, 13C NMR and A-CEF), and the resulting workflow was optimized for the fast acquisition of large structure-properties databases usable in QSAR studies. The workflow was successfully applied to Ziegler-Natta and molecular olefin polymerization systems and products thereof.(1)
In this presentation, we will illustrate case histories of increasing complexity, covering molecular kinetics as well as polymer characterization aspects
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
Hydrophobic constants and quantitative structure-activity relationships (QSAR) in sets of phenotiazine drugs.
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