1,720,981 research outputs found
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
An Explainable Model for Fault Detection in HPC Systems
Get PDFLarge supercomputers are composed of numerous components that risk to break down or behave in unwanted manners. Identifying broken components is a daunting task for system administrators. Hence an automated tool would be a boon for the systems resiliency. The wealth of data available in a supercomputer can be used for this task. In this work we propose an approach to take advantage of holistic data centre monitoring, system administrator node status labeling and an explainable model for fault detection in supercomputing nodes. The proposed model aims at classifying the different states of the computing nodes thanks to the labeled data describing the supercomputer behaviour, data which is typically collected by system administrators but not integrated in holistic monitoring infrastructure for data center automation. In comparison the other method, the one proposed here is robust and provide explainable predictions. The model has been trained and validated on data gathered from a tier-0 supercomputer in production
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
GRAAFE: GRaph anomaly anticipation framework for exascale HPC systems
Get PDFThe main limitation of applying predictive tools to large-scale supercomputers is the complexity of deploying Artificial Intelligence (AI) services in production and modeling heterogeneous data sources while preserving topological information in compact models. This paper proposes GRAAFE, a framework for continuously predicting compute node failures in the Marconi100 supercomputer. The framework consists of (i) an anomaly prediction model based on graph neural networks (GNNs) that leverage nodes’ physical layout in the compute room and (ii) the computationally efficient integration into the Marconi100’s ExaMon holistic monitoring system with Kubeflow, an MLOps Kubernetes framework which enables continuous deployment of AI pipelines. The GRAAFE GNN model achieves an area under the curve (AUC) from 0.91 to 0.78, surpassing state-of-the-art (SoA), achieving AUC between 0.64 and 0.5. GRAAFE sustains the anomaly prediction for all the Marconi100 nodes every 120s, requiring an additional 30% CPU resources and less than 5% more RAM w.r.t. monitoring only
Involvement of endogenous gabaergic system in the modulation of gonadotropin secretion in normal cycling women.
No full textTo investigate whether endogenous GABA participates in the control of gonadotropin secretion during the menstrual cycle, placebo or sodium valproate (DPA), an anticonvulsant drug which enhances endogenous GABA content by blocking GABA degradation, were administered to regularly cycling women both during early follicular and midluteal phase. In a first set of experiments, the effect of DPA administration (400 mg, orally) on basal gonadotropin secretion was evaluated in 13 subjects. During early follicular phase (n = 6), no significant changes in plasma gonadotropin levels were observed after DPA or placebo administration. Conversely, during midluteal phase (n = 7), DPA administration resulted in a significant fall (p less than 0.01) in plasma LH concentrations, with a maximal percent decrease of 41.8 +/- 6.7% after 120 min. No changes in plasma FSH levels were observed. In a second set of experiments, the effect of DPA pretreatment (400 mg, orally) on gonadotropin release stimulated by a pulse of exogenous GnRH (10 micrograms, iv bolus) was studied in 11 subjects. During both follicular (n = 4) and luteal phase (n = 7), DPA did not modify gonadotropin response to GnRH injected 1h after pretreatment. Finally, 8 subjects were submitted to iv injection with 10 micrograms GnRH 2h after pretreatment with DPA (400 mg, orally) or placebo. During both follicular (n = 4) and luteal phase (n = 4), no statistical differences in gonadotropin response to GnRH were found between DPA and placebo pretreatment. These findings demonstrated that during the estrogen-progesterone (midluteal) phase of menstrual cycle, endogenous GABA is involved in the inhibitory regulation of LH secretion at a central level
Dose-related prolactin inhibitory effect of the new long-acting dopamine receptor agonist cabergoline in normal cycling, puerperal, and hyperprolactinemic women
No full textTwo different single doses (400 and 600 micrograms) of the new long-acting dopamine agonist cabergoline (CBG) were given to 12 normal cycling women, 17 puerperal women, and 24 hyperprolactinemic women (12 with idiopathic hyperprolactinemia and 12 with pituitary adenoma). Plasma PRL was determined in blood samples collected before and at frequent intervals for 5 days after CBG administration. Both CBG doses induced marked inhibition of PRL secretion in all women. A decrease in plasma PRL levels was evident 1-2 h after CBG administration and persisted for up to 5 days. The 600-micrograms CBG dose had a more potent (P less than 0.05) PRL inhibitory effect than the 400-micrograms dose in normal, puerperal, and hyperprolactinemic women. Moreover, while 400 micrograms CBG prevented lactation in 3 of 7 puerperal women, 600 micrograms CBG prevented lactation in 5 of 5 puerperal women. A moderate blood pressure decrease occurred 3-6 h after CBG treatment, but no other side-effects occurred. These results demonstrate that CBG induces a dose-related inhibition of PRL secretion in normal women as well as in puerperal and hyperprolactinemic women. The potent long-lasting PRL inhibitory effect of CBG in conjunction with the absence of side-effects typical of dopaminergic compounds suggest that this drug is an advance in the medical treatment of hyperprolactinemia
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
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