1,720,955 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
Security and Usability Analysis of Cryptocurrency Wallets
No full textThis thesis aims to analyze the security and usability of cryptocurrency wallets of different categories. The work is focused on familiarizing with the most used cryptocurrency wallets, threats related to their use, subsequent testing of the selected wallets with the proposed test scenarios, and evaluation of the testing supplemented with the definition of several recommendations for their proper use. In the systematic testing, the method of designing test scenarios was used, followed by systematic testing, and finally, the results were evaluated. The research conducted found that the most widely used cryptocurrency wallets achieve a high level of security against the described threats and offer a wide range of possibilities for their use. The results of this work allow users to understand the issues associated with storing and handling cryptocurrencies more efficiently. Based on the results of the testing, the user has the possibility to choose a cryptocurrency wallet precisely according to his user's needs and security requirements
Security and Usability Analysis of Cryptocurrency Wallets
No full textThis thesis aims to analyze the security and usability of cryptocurrency wallets of different categories. The work is focused on familiarizing with the most used cryptocurrency wallets, threats related to their use, subsequent testing of the selected wallets with the proposed test scenarios, and evaluation of the testing supplemented with the definition of several recommendations for their proper use. In the systematic testing, the method of designing test scenarios was used, followed by systematic testing, and finally, the results were evaluated. The research conducted found that the most widely used cryptocurrency wallets achieve a high level of security against the described threats and offer a wide range of possibilities for their use. The results of this work allow users to understand the issues associated with storing and handling cryptocurrencies more efficiently. Based on the results of the testing, the user has the possibility to choose a cryptocurrency wallet precisely according to his user's needs and security requirements
The impact of neural network visualizations on user decision making in deepfake detection using heatmaps
No full textDeepfake technológia je rastúcou hrozbou, pričom AI detekčné nástroje často postrádajú transparentnosť. Táto práca skúma vplyv XAI, konkrétne heatmap (Grad-CAM++), na ľudské rozhodovanie pri detekcii deepfake tvárí. Cieľom bolo overiť, ako AI skóre a heatmapy ovplyvňujú presnosť a dôveru používateľov, najmä pri zlyhaní AI. Experiment s tromi skupinami (kontrolná, AI skóre, AI skóre + heatmapa) ukázal 67% základnú ľudskú úspešnosť (F1). AI asistencia celkovo F1 významne nezlepšila. Skóre detektora silne ovplyvňovalo používateľov a pri chybách AI viedlo k horším výsledkom. Kľúčovým zistením je, že pridanie heatmapy mitigovalo tento negatívny dopad, udržalo presnosť na úrovni kontrolnej skupiny pri chybách AI, zlepšilo skóre vážené istotou a viedlo k vyváženejšiemu rozhodovaniu. Napriek objektívnym prínosom, používatelia subjektívne hodnotili heatmapy ako málo užitočné. Práca demonštruje potenciál heatmap zlepšiť robustnosť ľudského rozhodovania s podporou AI. Zároveň poukazuje na potrebu vývoja používateľsky zrozumiteľnejších XAI metód pre efektívny boj proti deepfake
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
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