1,721,020 research outputs found
Dataset related to the article published in Frontiers in Human Neuroscience "Testing the Specificity of Predictors of Reading, Spelling and Maths: A New Model of the Association Among Learning Skills Based on Competence, Performance and Acquisition" by Zoccolotti, De Luca, Marinelli and Spinelli
No full textDataset related to the article published in Frontiers in Human Neuroscience "Testing the Specificity of Predictors of Reading, Spelling and Maths: A New Model of the Association Among Learning Skills Based on Competence, Performance and Acquisition" by Zoccolotti, De Luca, Marinelli and Spinell
Supplementary tables and figures related to the article published in Frontiers in Human Neuroscience "Testing the Specificity of Predictors of Reading, Spelling and Maths: A New Model of the Association Among Learning Skills Based on Competence, Performance and Acquisition" by Zoccolotti, De Luca, Marinelli and Spinelli
No full textSupplementary tables and figures related to the article published in Frontiers in Human Neuroscience "Testing the Specificity of Predictors of Reading, Spelling and Maths: A New Model of the Association Among Learning Skills Based on Competence, Performance and Acquisition" by Zoccolotti, De Luca, Marinelli and Spinell
Generative AI and Society 5.0: Enabling a Collaborative, Inclusive Future
No full textThis chapter delves into the transformative potential of Generative Artificial Intelligence (GenAI) within the Society 5.0 framework, a concept originating from Japan that envisions a human-centric society where technology addresses pressing global challenges. Building on advancements from Industry 4.0, Society 5.0 transcends economic productivity by focusing on inclusivity, sustainability, and quality oflife. GenAI, with its capacity for autonomous content creation, enhanced decision-making, and predictive analytics, aligns with these goals by fostering innovation, improving efficiency, and driving human– machine collaboration. This chapter examines the ethical dimensions associated with GenAI, emphasizing the need for transparency, accountability, and inclusivity to prevent potential risks such as data privacy breaches, algorithmic bias, and unequal access to Artificial Intelligence (AI) benefits. Through a synthesis of theory and practice, this work explores how GenAI can support sustainable development, bridge social divides, and enhance human potential in alignment with the principles of Society 5.0. Finally, it outlines avenues for future research and managerial implications, addressing the ongoing need to balance technological advancement with ethical governance in an increasingly AI-driven world
Tendenze religiose nella letteratura italiana più recente. II: Apocrifi del terzo millennio
No full textAn analysis of literary rewriting of Gospels in the most recent Italian literature and specifically in Doni, De Luca, Marinelli, Di Mizio, Matino, Sgorlon, Conte, Nigro, Farinotti
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
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