1,721,038 research outputs found
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
CCIs and Regional Resilience in Transition Periods. Heterogeneity in Advanced and Lagging EU Regions
No full textVariations 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
Poverty Adaptation, Multidimensional Well-Being and Regional Disparities in Italy: A Statistical Matching Approach
No full textThe deep transformations affecting nowadays the economies have an impact on individuals’ well-being, which represents the foundation for sustainable development and poverty reduction. Well-being is a multidimensional concept and the capacity to measure its different aspects is of crucial importance for designing policies. This chapter delves into a particular aspect and presents an analysis of how people’s subjective well-being adapts to poverty by digging deeper into the impact a variation in economic condition has, with respect to the previous year, on overall life satisfaction and several domains of life. To investigate if regional disparities in these relationships exist, the analysis is developed for the whole country and the main macro-areas (North vs Centre-South). To overcome the problem of obtaining information on poverty and subjective well-being, we suggest using a statistical matching approach. Findings show that adaptation is rejected for people entering into poverty at the current time or when a poor person’s condition worsens over the last year. Significant regional differences in the SWB-poverty adaptation nexus are detected, especially for economic and health domains. Findings support place-based policies aimed at reducing disparities in the living conditions of the residents
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
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
Leveraging Neural Architecture Search for Structural Health Monitoring on Resource-Constrained Devices
No full textIn recent decades signal processing incorporated the capabilities offered by Deep Learning (DL) models, especially for complex tasks. DL models demand significant memory, power, and computational resources, posing challenges for Microcontroller Units (MCUs) with limited capacities. The possibility to run models directly on the edge device is key in connectivity-limited scenarios such as Structural Health Monitoring (SHM). For those scenarios, it is necessary to use Tiny Machine Learning techniques to reduces computational requirements. This study focuses on the impact of the extended version of the state-of-the-art Neural Architecture Search (NAS) tool, μNAS, for SHM applications, targeting four commonly used MCUs. Our assessment is based on the Z24 Bridge benchmark dataset, a common dataset for SHM we employed to train and evaluate models. We then discuss if the models found fit the constraints of the MCUs and the possible tradeoffs between error rate and model computational requirements. We also offer a comparison with the Raspberry Pi 4 Model B to highlight μNAS’s capability in achieving high accuracy with higher computing capabilities. The obtained results are promising, as the found models satisfy the given constraints both in term of accuracy and memory footprint
- …
