1,721,036 research outputs found
La relazione A.M.A. nel processo di apprendimento
No full textIl presente lavoro utilizza osservazioni e dati rilevati in contesti di apprendimento formale dell’inglese, a livello accademico, per dimostrare che l’apprendimento di una lingua straniera (LS) è fortemente legato allo stato emotivo-attitudinale di partenza, evincibile dalla natura positiva o negativa della relazione Attitudine-Motivazione-Autostima (A.M.A.), che gli apprendenti manifestano in classe. Suggerisce che è su questo stato di partenza che si deve agire se si vuole favorire un processo acquisizionale della LS armonico e duraturo. Sostiene che tecniche proprie della Programmazione Neuro-Linguistica (PNL), come le visualizzazioni guidate, sono in grado di trasformare in positivo stati attitudinali demotivanti riuscendo a sostenere gli aspetti motivazionali e a migliorare il livello di autostima che apprendenti, intrappolati da convinzioni limitanti e/o blocchi acquisizionali, manifestano in contesti di apprendimento strutturato
Voltage regulation in distribution networks in the presence of distributed generation: LVR and E-OLTC with a machine learning approach
No full textThis paper deals with voltage regulation in medium voltage distribution networks with high penetration of distributed photovoltaic generation. More specifically, it considers electronic on-load tap changers and line voltage regulators as voltage control mechanisms operated exclusively by a machine learning algorithm. The considered network is a real-life 10 kV feeder with 41 equivalent loads and nine equivalent photovoltaic generators. Two years of real smart meters hourly data are considered for the feeder's loads and, together with simulated power generation data of photovoltaic systems, are used as inputs to a deep neural network. The data are first fed to a PowerFactory model of the feeder, and then, using quasi-dynamic analysis, the correct tap positions of electronic on-load tap changers and line voltage regulators are used as outputs. These inputs and outputs are finally utilized for training the deep neural network, which is expected will predict the outputs well when fed by new inputs never seen before
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
The potential of urban PV generation in the Italian context of energy transition: A case study
No full textFifteen years after the connection of the first PV plant to the distribution network of the city of Milan, the role of this technology is more and more crucial, considering the Italian and European energy transition goals. The availability of a zero-emission modular and dispersed electricity generation could allow the cities to meet the growing electricity demand in the coming years in a sustainable way. The PV plants that could be installed on the roofs of city buildings represent a precious resource, which has only been partially exploited. Quantifying this available surface can help to understand the electricity generation potential in relation to the future scenarios of electricity demand. This paper aims to analyze these aspects focusing on the city of Milan (Italy), determining the total power that could be installed on the roofs, its potential contribution to the electricity balance of the network distribution in 2020-2030 and the benefits for the grid in relation to the system losses
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