1,721,611 research outputs found
Comparision of sedative and analgesic effectss of a combination of medetomidine and tramadol with detomidine in the horse.
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Self-organizing neural fuzzy inference network
No full textA self-organizing neural network is proposed which is inherently a fuzzy inference system with the capability of learning fuzzy rules from data. The learning strategy consists of two phases: a self-organizing clustering to establish the structure of the network as well as the initial values of its parameters and a supervised learning phase for optimal adjustment of these parameters. After learning, the network encodes in its structure the essential design parameters of a fuzzy system. An example is given to illustrate the characteristics and capabilities of the proposed network
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
Emotion Communication via Copying Behaviour: A Case Study with the Greta Embodied Agent
No full textThis paper investigates emotion communication via copying behaviour in an embodied virtual agent. Copying takes place at the expressive level, where motion qualities are considered, rather than exact low-level motion matching. We present an experiment that investigates (1) the extent to which people can recognise the emotion expressed by the agent’s copying behaviour, and (2) whether and how the type of gesture performed by the agent affects the perception of emotion. Results suggest that a combination of type of movement performed and its quality are important for successfully communicating emotions
Indagini morfologiche e corologiche sulle popolazioni siciliane del genere Sorbus subgen. Aria (Rosaceae, Maloideae)
No full textDispelling 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
Neuro-Fuzzy Systems for Learning Analytics
No full textLearning Analytics techniques are widely used to improve students’ performance. Data collected from Virtual Learning Environments (VLEs) are helpful to predict students’ outcomes through the analysis of their interactions with the platform. In this work, we propose the use of hybrid models which are able to return accurate predictions together with explanations on the processes leading to the results. Particularly, students’ outcomes have been predicted through Neuro-Fuzzy Systems (NFSs), and explanations are given in form of “IF-THEN” rules. The balancing between model interpretability and accuracy has been studied by reducing the number of relevant features. Results on the Open University Learning Analytics Dataset (OULAD) have shown the effectiveness of NFSs in predicting students’ outcomes while explaining the reasoning behind the process
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