1,720,971 research outputs found
European IoT use in households: opportunity or threat to civil society?
No full textThe residential sector is characterized by new digital challenges. The Internet of Things
(IoT) is a key-driver of innovation and operations management. This study aims to measure and
assess IoT devices at the level of individuals, which are households, in European countries. For this scope, through the multi-criteria decision analysis (MCDA), we analyse data from Eurostat providing a mix of indicators allowing information to be aggregated at the level of individual Europeans and disaggregated by age group. The results highlight that only four countries (Netherlands, Denmark, Sweden and Malta) are classified as a high cluster in the examined scenarios. The 16–24 age group
is the most involved in the uses of IoT devices, but the previous three northern European countries also show very high values for the 35–44 age group. IoT devices serve as a springboard for achieving a powerful propulsion toward technological innovation in the new business models, identifying opportunities and being a way to make many routine tasks more agile. Training programs and awareness campaigns are policy suggestions for the development of IoT devices favouring a cultural change on their use. However, there is an emerging need for studies that monitor environmental health impacts to prevent possible threats
Regularization methods in dynamic MRI
No full textIn this work we consider an inverse ill-posed problem coming from the area of dynamic magnetic resonance imaging (MRI), where high resolution images must be reconstructed from incomplete data sets collected in the Fourier domain. The reduced-encoding imaging by generalized-series reconstruction (RIGR) method used leads to illconditioned linear systems with Hermitian Toeplitz matrix and noisy right-hand side. We analyze the behavior of some regularization methods such as the truncated singular value decomposition (TSVD), the Lavrent’yev regularization method and conjugate gradients (CG) type iterative methods. For what concerns the choice of the regularization parameter, we use some known methods and we propose new heuristic criteria for iterative regularization methods. The simulations are carried on test problems obtained from real data acquired on a 1.5 T Phillips system
Regularization methods in dynamic MRI
No full textIn this work we consider an inverse ill-posed problem coming from the area of dynamic magnetic resonance imaging (MRI), where high resolution images must be reconstructed from incomplete data sets collected in the Fourier domain. The reduced-encoding imaging by generalized-series reconstruction (RIGR) method used leads to ill-conditioned linear systems with Hermitian Toeplitz matrix and noisy right-hand side. We analyze the behavior of some regularization methods such as the truncated singular value decomposition (TSVD), the Lavrent'yev regularization method and conjugate gradients (CG) type iterative methods. For what concerns the choice of the regularization parameter, we use some known methods and we propose new heuristic criteria for iterative regularization methods. The simulations are carried on test problems obtained from real data acquired on a 1.5 T Phillips system. © 2002 Elsevier Science Inc. All rights reserved
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
Didattica in e-Learning (DIDeL). Primi risultati dei laboratori per lo sviluppo delle competenze tecnologiche per l’eLearning universitario.
No full textL’articolo riporta i primi risultati del progetto DIDeL (Didattica in e-Learning) dell’Università di Firenze, finalizzato allo sviluppo professionale del personale accademico sui metodi e le tecnologie dell’e-learning. Il progetto si basa su un modello concettuale articolato su più livelli (individuale e community-oriented) e basato su una combinazione di approcci metodologici (i.e., autoapprendimento, coaching, PBL, comunità di apprendimento) e strumenti didattici (i.e., tutoriali, casi di studio, laboratori tecnici e sportello elearning). Questo contributo si focalizza sui laboratori tecnici, realizzati nel 2016-17 per promuovere le capacità d’uso della piattaforma Moodle d’Ateneo. Hanno partecipato ai laboratori 89 docenti e sono stati osservati i cambiamenti nelle loro modalità d’uso della piattaforma. Per effettuare la rilevazione è stato sviluppato un applicativo che consente di estrarre dati da Moodle e monitorare le funzionalità usate dai docenti. I risultati mostrano un aumento pari al 20% del numero di docenti che hanno aperto corsi in Moodle e l’attivazione di corsi di livello base e medio. Più raro è il passaggio verso forme più spinte di uso della piattaforma (solo il 9%), che probabilmente sottintende un cambiamento più profondo del fare didattico. Ciò ci spinge a sottolineare l’importanza di un approccio integrato allo sviluppo professionale
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