1,720,958 research outputs found
A practical method for calculating correlation spectra electroencephalographic signals to evaluate functional relationships between brain areas [Un método práctice para el espectro de correlación entre señales electroencefalográficas para evaluar relaciones funcionales entre areas cerebrales]
No full textThe quantitative analysis of electroencephalographic activity (EEG) has proven to be of great utility in studying the functional organization of the brain. Several techniques in the time and frequency domains have been used to analyze it. Correlation function is one of the most powerful statistic measures and it can be applied when two continuous variables are linearly related and have digitized independent paired values. Traditionally, this type of analysis has been applied to EEG signals to study functional relationships between brain regions since they satisfy such characteristics. Taking into account the advantages which the correlation analysis offers, an algorithm has been developed to calculate the correlation spectrum between EEG signals, which eliminates the problem of time and memory required by a computer
Sex differences in emotional processing [Diferencias Sexuales en el Procesamiento Emocional]
No full textRecent studies suggest that there are sexual differences in emotions. Women present stronger affective responses than men to some stimuli and they are better at recognizing and expressing emotions, as well as at remembering emotionally loaded events and showing empathy. Likewise, men are more aggressive. Women are more depressive and tend to think in their emotions during stressing events, in contrast to men, who tend to evade unpleasant emotions. Most of those sexual differences are present since childhood and can be partially attributed to different brain processing and to the action of sexual hormones. The present paper discusses the biologic and social origins of these sexual differences, as well as, their possible implications for some aspects of daily life
Sex differences in emotional processing [Diferencias Sexuales en el Procesamiento Emocional]
No full textRecent studies suggest that there are sexual differences in emotions. Women present stronger affective responses than men to some stimuli and they are better at recognizing and expressing emotions, as well as at remembering emotionally loaded events and showing empathy. Likewise, men are more aggressive. Women are more depressive and tend to think in their emotions during stressing events, in contrast to men, who tend to evade unpleasant emotions. Most of those sexual differences are present since childhood and can be partially attributed to different brain processing and to the action of sexual hormones. The present paper discusses the biologic and social origins of these sexual differences, as well as, their possible implications for some aspects of daily life
A practical method for calculating correlation spectra electroencephalographic signals to evaluate functional relationships between brain areas [Un m�todo pr�ctice para el espectro de correlaci�n entre se�ales electroencefalogr�ficas para evaluar relaciones funcionales entre areas cerebrales]
No full textThe quantitative analysis of electroencephalographic activity (EEG) has proven to be of great utility in studying the functional organization of the brain. Several techniques in the time and frequency domains have been used to analyze it. Correlation function is one of the most powerful statistic measures and it can be applied when two continuous variables are linearly related and have digitized independent paired values. Traditionally, this type of analysis has been applied to EEG signals to study functional relationships between brain regions since they satisfy such characteristics. Taking into account the advantages which the correlation analysis offers, an algorithm has been developed to calculate the correlation spectrum between EEG signals, which eliminates the problem of time and memory required by a computer
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
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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