1,721,012 research outputs found
The emergence of selective attention through probabilistic associations between stimuli and actions
No full textThis file contains the data set (with Figs) related to the article "The emergence of selective attention through probabilistic associations between stimuli and actions" by Luca Simione and Stefano Nolfi
Supplemental Material - The Interaction Between Optimism and Pessimism Related to the Perceived Risk of Infection During the Covid-19 Pandemic: An Exploratory Cross-Sectional Study
No full textSupplemental Material for The Interaction Between Optimism and Pessimism Related to the Perceived Risk of Infection During the Covid-19 Pandemic: An Exploratory Cross-Sectional Study by Luca Simione, Camilla Gnagnarella, Giulia Spina, Giuseppe Bersani in Psychological Reports</p
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
How to measure observational implicit learning of complex sequences: a novel paradigm involving rapid visual presentation and serial reaction time task
No full textObservational learning has been studied using the serial reaction time task (SRTT) reporting inconsistent findings on its nature. When present, observational learning appears to be due to explicit learning, even for complex second-order sequences (SOC). In contrast, statistical learning has been studied using the rapid serial visual presentation (RSVP) reporting implicit observational learning of simple sequences. We combined elements of the SRTT and RSVP to investigate whether observational learning of SOC can occur. Two groups were exposed to either a repeated or a random sequence in RSVP. A completion and a recognition tasks were performed as a measure of explicit learning, and an SRTT as a measure of implicit learning. Although results showed no difference between groups in the SRTT, the early learning index predicted the recovery from interference exclusively in the experimental group, which also showed a greater awareness of the repetitiveness of the sequence
Number of Mediastinal Lymph Nodes as a Prognostic Factor in PN2 Non Small Cell Lung Cancer: A Single Centre Experience and Review of the Literature
No full textCurrently the most important prognostic factor in lung cancer is the stage. In the current lung TNM
classification system, N category is defined exclusively by anatomic nodal location though, in other type of tumours,
number of lymph nodes is confirmed to be a fundamental prognostic factor. Therefore we evaluated the number
of mediastinal lymph nodes as a prognostic factor in locally advanced NSCLC after multimodality treatment,
observing a significant effect of the number of lymph nodes in terms of OS (p<0.01) and DFS (p<0.001): patients
with a low number of positive mediastinal nodes have a better prognosis
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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