1,721,109 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
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
Artificial intelligence for genomics: a look into it
No full textThe latest progress in genomics and artificial intelligence (AI) sees both disciplines work together to improve results in the relatively new medical area called precision medicine. This chapter aims to provide readers with a review of AI techniques ingesting genomics data to extract patterns and high-level information. Many new and sophisticated AI architectures have been introduced in the scientific community since the release of the famous Human Genome Project. The latter was delivered in 2003 and allowed sequencing and mapping of all the genes of our species (Homo sapiens). Genomics has paved the way for deeper insights into correlations between changes in DNA sequences and diseases. As described throughout the sections in the manuscript, deoxyribonucleic acid (DNA) sequences are big-sized. This feature makes them suitable for investigation through both machine and deep learning (DL) methods. Moreover, the disruptive advent of DL in the scientific community pushed the bar for achievable accuracy rates in many tasks. Genomics makes no exception. AI methods have been primarily employed to tackle some tasks for biomedical image analysis: detection, classification and segmentation of suspicious regions from MRI (Magnetic Resonance Imaging), PET (Positron Emission Tomography) and CT (Computer Tomography), to mention some, have been broadly addressed using machine learning (ML) and DL approaches. Over the last few years, there has been an exponential spike in the number of DL techniques for genomics. Nowadays, genomics and AI are closely twisted in the attempt to achieve ambitious objectives, such as predicting treatment outcomes to deliver patient-tailored therapies, biomarker discoveries, radiotherapy responses and predicting drug effectiveness from cancer genomic signature. The main goal here is to check through the current state-of-the-art AI methods for genomics spanning the most challenging aspects of today's landscape
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
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
Using memristor state change behavior to identify faults in photovoltaic arrays
No full textMemristor is an emerging non-volatile memory device that features smaller size and hybrid memristor/CMOS integration, which maximizes the advantages of high density and versatility. In this paper we utilize the memristor as weights and its state change behavior to capture some of the potential faults in a system. Photovoltaic arrays are taken as an example for the study. We will demonstrate that the state variations can be mapped into a timing which can be used as useful information for behavior of the system under measurement. Empirical studies are carried out using Spice based simulations to investigate into the impact of biasing and threshold voltages on timing behavior. Underpinning these studies, a relationship between input voltage and memristor state transition is proposed and extensively validated through further simulations to identify specific faulty behavior
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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