1,720,970 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
Personality traits classification from EEG signals using EEGNet
No full textPersonality represents the individual differences in cognition and behavior. The five personality traits, as identified by the Big Five system, are traditionally assessed by using self-report questionnaires that are subject to bias problems. For this reason, the need for an automatic personality assessment method has emerged. Assessing personality from
EEG signals recorded as a response to specific stimuli has shown promising results. In this work, we adopted the EEGNet, a compact CNN model developed for EEG decoding, to implement an automatic personality trait binary classifier. For this purpose, we used the EEG traces of the AMIGOS dataset, which were acquired on 38 subjects during the visualization of
emotional videos. Different types of data preprocessing and different model hyperparameters were tested. The best performing model achieves classification accuracy of 0.93 for Agreeableness, 0.92 for Extroversion, 0.90 for Conscientiousness, 0.89 for Emotional Stability and 0.89 for Openness
A Minimum Metadataset for Data Lakes Supporting Healthcare Research
No full textWhile data lakes have emerged as a solution for storing vast amounts of heterogeneous and often unstructured data, responding to the growing need for flexible data storage, integration, and analytics in different domains, the digital transformation of healthcare processes has led to an exponential increase in various types of health records, necessitating efficient data management solutions and making this domain an ideal arena for experimenting data lake efficacy. In data lakes, effective metadata extraction and management are crucial for describing raw data, establishing connections, and ensuring interoperability among datasets ingested into the lake. To address this, we propose a minimum set of metadata tailored for clinical research, which includes relevant information common to significant branches of healthcare. Our metadataset not only streamlines data ingestion processes but also enhances the accessibility and usability of healthcare datasets for research purposes. By standardizing the collected metadata within the clinical research domain, we also facilitate data integration, analysis, and exploration, facilitating comprehensive data description and management within the data lake environment
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
Quantitative measures of autonomic activations during software development
No full textThis paper focuses on the analysis of autonomic nervous system responses of programmers during tasks of code comprehension and code writing. The signals analyzed are the heart rate variability and the respiratory signal, acquired using unobtrusive sensors connected to a polygraph. A bivariate time-variant autoregressive model was used to compute frequency domain features and their variations in time. A significant increase in heart rate and respiratory rate and a reduction in the total power of the heart rate variability were identified during code writing compared to other protocol tasks. This research is part of the second study of the BASE (Biofeedback Augmented Software Engineering) project
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
Open-source concealed EEG data collection for Brain-computer-interfaces - neural observation through OpenBCI amplifiers with around-the-ear cEEGrid electrodes
No full textObserving brain activity in real life offers exciting possibilities like the support of physical health, mental well-being, and thought-controlled interaction modalities. The development of such applications is, however, strongly impeded by low accessibility to research-grade neural data and a lack of easy-to-use and comfortable sensors. To overcome these challenges, we present the cost-effective adaptation of concealed around-the-ear EEG electrodes (cEEGrids) to the open-source OpenBCI EEG signal acquisition platform. The system combines publicly available electronic components with 3D-printed parts, forming an easily replicable recording system for prolonged use and flexible application development. To demonstrate the system’s feasibility, experimentally induced changes in visual stimulation and mental workload are replicated. Lastly, a novel application area is investigated, the observation of flow experiences through observation of temporal Alpha power changes. Support for a link between temporal Alpha power and flow is found, indicating an efficient engagement of verbal-analytic reasoning with intensified flow levels
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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