1,721,120 research outputs found
Verso un nuovo assetto della consulenza finanziaria in Italia
No full textSintesi. La legge di stabilità per il 2016 prevede novità signifcative nella disciplina
della consulenza fnanziaria. In primo luogo, viene istituito un unico albo dei
consulenti fnanziari nel quale dovranno essere iscritti i promotori fnanziari,
i consulenti fnanziari di cui all’art. 18-bis T.U.F. e le società di consulenza
fnanziaria di cui all’art. 18-ter T.U.F. La tenuta dell’albo è demandata ad un
organismo con personalità di diritto privato, che prende il posto dell’Organismo
per la tenuta dell’albo dei promotori fnanziari. A tale nuovo organismo
sono altresì afdate le funzioni di vigilanza e quelle sanzionatorie sugli iscritti
all’albo. La seconda novità riguarda la nuova denominazione dei promotori
fnanziari e dei consulenti fnanziari: i primi sono ora qualifcati «consulenti
fnanziari abilitati all’oferta fuori sede» e i secondi «consulenti fnanziari autonomi».
Lo studio si incarica di studiare le implicazioni delle nuova disciplina sul
sistema, di valutarne gli efetti e di prefgurare i futuri ulteriori cambiamenti
che dovranno porsi in essere per dare compiuta realizzazione alla riforma.
Per fare ciò si è ritenuto necessario operare un censimento di chi abita il diversifcato
mondo della consulenza fnanziaria in Italia e negli Stati europei
maggiormente signifcativi.
* Università di Roma “Tor Vergata”.
** Si ringrazia per il supporto fornito alla ricerca l’ANASF e per i preziosi spunti i dottori Maurizio Buf, Germana
Martano e Mattia Suardi. I parr. 1, 2, 4, 5, 6 e 7 sono stati scritti da Mario Stella Richter; il par. 3 d
Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach
No full textIn recent years, social media platforms have seen tremendous growth in terms of the number of users, forms of interaction, and diversity of content. While these channels are purely a source of entertainment for many users, for others they represent the main source of revenue or advertising for their products and services. In order to capture users’ attention, companies and professionals aim at achieving high popularity of their posts. In this work, we aspire to predict post popularity on the Instagram platform through Machine Learning approaches, with the goal of presenting a methodological tool that could provide useful information for post performance optimization. While previous contributions on the subject addressed the generic popularity of a post on the platform, we focus on the post popularity on a specific profile using only the visual content related to the post (image or video). We describe in detail the process and workflow to design a measure of popularity consistent even over the long time frame. Furthermore, we take advantage of state-of-the-art Convolutional Neural Networks and provide interpretability traits for their predictions, a quality that is nowadays highly welcomed in the industry. Lastly, we use a situation of scarce video data to experiment with ways of performing mixed training with both images and videos, providing problem-independent ideas and architectures that can potentially be applied to other video classification tasks
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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