1,720,975 research outputs found
A machine learning approach based on neural networks for energy diagnosis of telecommunication sites
No full textMulti-layer-perceptron-feedforward neural-networks (MLPFFNNs) are proposed to monitor electricity consumption of generic telecommunication sites, thus addressing well-known energy saving and environmental issues. The proposed prediction tool helps infer telecommunication site efficiency, thus enabling undertaking suitable energy intelligence actions (monitoring, control and diagnosis, supervision) as a function of a large number of data and information. A trial-and-error analysis was performed to find the most accurate neural network for such a prediction task. Physical knowledge and intrinsic behavioral features of telecommunication sites indicated that 2 electricity consumptions- and 4 weather-related variables shall populate the input layer. The number of hidden neurons, along with training and test splitting percentages, were selected as the variables to refine within the networks development task. Statistical assessment of accuracy was conducted via joint evaluation of root mean square error and coefficient of determination. The precision and generalization of the best MLPFFNN were successfully assessed on a relevant sites dataset. Prediction percentage errors set to 5.65% and 5.77% for monthly and weekly assessment, respectively, thus confirming the suitability of the proposed modelling approach to meet regulatory standards (i.e., ISO 50001), requiring reliable and continuous monitoring and diagnosis of large fleets of industrial buildings, such as central offices and datacenters
Small vessel vasculitis related to varicella-zoster virus after Pfizer-BioNTech COVID-19 vaccine
No full textChallenges in diagnosis: exploring comorbidities and differential diagnosis in a young adult with mild autism spectrum disorder and attenuated psychosis syndrome
No full textAutism Spectrum Disorder (ASD) is a neurodevelopmental disorder, and its relationship with schizophrenia has been studied since the early 20th century. Several studies have shown a high prevalence of psychotic episodes in ASD, leading many authors to hypothesize that patients with neurodevelopmental disorders may have a substantial vulnerability to psychosis. In this paper, the authors describe the clinical case of a 19-year-old male showing social withdrawal and subthreshold persecutory ideas undergoing his first psychiatric evaluation. The patient's psychomotor development was unremarkable except for a slight speech delay. He has always exhibited introverted tendencies and became increasingly reserved during adolescence. Today, he experiences significant anxiety around his peers and prefers remaining indoors, spending most of the time playing on his smartphone or online games. The diagnostic challenge for clinicians lies in distinguishing between co-occurring disorders or determining whether the clinical manifestations are solely due to one of the conditions
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
Neoadjuvant use of methotrexate in eosinophilic angiocentric fibrosis of upper lip and hard palate: A case report
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