1,720,961 research outputs found
Families_Share: digital and social innovation for work–life balance
Get PDFThe European H2020 Families_Share project aims at offering a grass-root approach and a co-designed platform supporting families for sharing time and tasks related to childcare, parenting, after-school and leisure activities and other household tasks. To achieve this objective, the Families_Share project has been built on current practices which are already leveraging on mutual help and support among families, such as Time Banks, Social Streets and self-organizing networks of parents active at the neighbourhood level and seek to harness the potential of ICT networks and mobile technologies to increase the effectiveness of participatory innovation. The aim of this paper is to present and discuss the Families_Share methodology and platform, as well as the results obtained by several partecipating communities in different European countries
Knowledge-based analysis of multimedia: balancing between complexity and validity
No full textThis thesis introduces tools for the semantic analysis of multimedia documents based on prior knowledge and its main goal is to turn the computational complexity into a controllable parameter of such systems. Entities are divided into (i) directly measurable quantities (syntactic entities) and (ii) high-level concepts, closer to human perception (semantic entities) and organized within a hierarchical fuzzy model. Moreover, appropriate metrics for quantifying the semantic search procedure and its results are proposed. The methodology is equipped with Inference mechanisms that fit various scenarios, while appropriate methods for computing the fuzzy weights of the knowledge model are also described. Although the proposed expressivity is limited w.r.t. Description Logics, it is fully adequate and compatible with the way classifiers treat multimedia documents. On these grounds, this thesis combines the results of other measurement methods (e.g. classifiers), by using a knowledge model that does not require complicated computations during inference. This can be achieved because the truth factors of the entities under examination are computed using closed mathematical expressions that stem directly from knowledge, eliminating the need for ABox reasoning. Furthermore, through the proposed methodology, semantic search can be efficiently used under any restrictions posed by computational complexity, by selecting optimal subsets of the available measurements. The subset selection problem is efficiently solved using dynamic programming, minimizing the extra computational burden it may pose. Experiments demonstrate that the proposed method can achieve very good accuracy while searching for and retrieving new entities, together with improving the scores given by existing classifiers. This method can be adapted to various domains/datasets through a process of fuzzy weight re-computation. An extra application scenario is presented, where the mathematical tools provided here are used for software agent evaluation. Finally, we theoretically prove that, even in the case of a more expressive language, the execution of a fuzzy tableau algorithm on the measurements (i.e. using the instantiated ABox) yields results identical with the ones our method can achieve using closed-form mathematical expressions. Corresponding experiments illustrate the virtues of this language, while also indicate that the performance of our methodology can be estimated using the development set
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
- …
