1,721,009 research outputs found
Storia della Cassa di Risparmio di Pistoia e Pescia. Credito, risparmio, territorio (1831-1992)
No full textLa Cassa di Risparmio di Pistoia e Pescia nasce dalla fusione di due istituti formatisi in territori geograficamente e storicamente assai diversi: la Cassa di Pistoia, nata nel 1831 in ambito urbano ma al centro di un vasto mondo rurale, inserita nella pianura di Prato e
Firenze; la Cassa di Pescia, nata nel 1840, nella cittadina più industriosa della Valdinievole, in un territorio allora assai fiorente e decisamente proiettato verso Lucca. Da secoli divise sotto il profilo amministrativo ed ecclesiastico, negli anni fra le due guerre Pistoia e Pescia si videro riunite in una stessa provincia: le due Casse furono protagoniste di una complessa operazione di incorporazione che diede origine a
un nuovo istituto creditizio capace di raccogliere quasi la metà dei depositi del territorio, diventando così la terza cassa di risparmio della Toscana. Questo libro ricostruisce, con una ricca documentazione archivistica, iconografica e quantitativa, la storia della Cassa di Risparmio di Pistoia e Pescia e dei due istituti che ne segnarono le origini. Una storia finanziaria e aziendale che si intreccia con le principali vicende politiche ed economiche del Paese: dalla restaurazione all’Italia liberale, al fascismo, attraverso guerre e crisi, fino ad arrivare al miracolo economico e alle riforme di fine XX secolo
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
Multi sensor Evolution Analysis (MEA): Land use and land cover analysis applied to (A)ATSR time series.
No full textThe problem of (better) exploiting long-term satellite image databases is not yet resolved. Meanwhile the continuous growth of satellite data is generating an unprecedented increase in data types and volume. All this makes unrealistic to proceed with the current,
mainly manual, image processing. Therefore the upcoming challenge is to find new methods permitting in near real-time to store and access large data volumes and to simplify or even automate the extraction of meaningful information for application domains, such
as Land Use / Land Cover Change (LU/LCC) mapping. In the framework of the ESA Support by Pre-classification to Specific Applications (SPA) project a fully automatic LU/LCC application (initially named (A)ATSR Land Classification System (ALCS)) known
as Multi sensor Evolution Analysis (MEA) system, has been implemented and tested. MEA data store is built using 15 years of ATSR2-AATSR data (C1P 4713,C1P 5016)
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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